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BY-NC-ND 3.0 license Open Access Published by De Gruyter Open Access October 22, 2016

Enhancing attention in neurodegenerative diseases: current therapies and future directions

  • Kanchan Sharma EMAIL logo , Thomas Davis and Elizabeth Coulthard

Abstract

We all experience at least occasional lapses in attention but in some neurological conditions, loss of attention is pervasive and debilitating. Treating deficits in attention first requires an understanding of the neurobiology of attention, which we now understand to be a set of different cognitive processes. Cholinesterase inhibitors are already established as effective attentional enhancers used in the treatment of certain dementias. Other stimulant agents such as modafanil, amphetamine and methylphenidate have demonstrated limited success in healthy individuals where attention is already optimal and clinical trials in patients with neurological disease are sparse. Dietary and lifestyle changes are gaining increasing prominence, as are experimental treatments such as deep brain stimulation and transcranial magnetic stimulation. As the therapeutic arsenal widens, clinicians will be able to match specific treatments to selective deficits in attention, giving patients a tailored management plan. Here we review common diseases that impair attention and emphasise how an understanding of attentional processing within the brain might lead to improved therapeutic strategies.

Attention facilitates cognitive functions such as memory, language, problem solving, and perception optimal for goal-oriented behaviour. The ambient environment is a constant source of sensory stimulation in the form of sights, sounds, smells, temperature, and touch. To process all these stimuli continuously would be unnecessarily demanding upon a finite cognitive resource, as much of the information would be irrelevant to the task at hand. A crucial cognitive skill for survival is the ability to selectively process or disregard information from the abundance of sensory input enabling goal-directed behaviour to be achieved. The importance of attention is often overlooked as it does not localise anatomically and is therefore difficult to study. However, when impaired, the consequences can be devastating. This is evident in dementia with Lewy bodies, where people can suffer with fluctuations in attention lasting minutes to days rendering them confused and unable to interact with the word around them.

Attention describes a complex interaction of multiple independent systems distributed within the brain [2, 3]. Voluntary “top-down” shifts of attention are goal-directed, driven by information regarding the current task whilst automatic “bottom-up” exogenous influences of attention are stimulus driven [4]. Through both top-down and bottom-up influences, attention allows us to selectively process or inhibit information from the abundance of sensory input over multiple domains [5, 6]. Breakdown of specific brain areas or neurotransmitter systems causes selective disruptions of attentional networks in both healthy aging and disease processes [7]. Thus attention can be considered a bottleneck for cognitive processing [8] - enhance attention and overall brain function can be improved. Here we review the network physiology, common causes of attention dysfunction and discuss recent developments in the field of attention enhancers.

Neurobiology of attention

Anatomical explanations of attention involve three core networks, each with its own characteristic psychological and neuroanatomical properties; the alerting, orienting, and executive networks of attention [9].

Alerting describes the ability to maintain optimal vigilance and performance during a task, which relies on a right hemisphere cortical and subcortical network involving the anterior cingulate cortex as a synchronizing structure [10]. Frontal, thalamic, and parietal regions are particularly active during tasks of alerting attention [2]. The neurotransmitter noradrenaline arising in the locus coeruleus of the brainstem has been implicated in the alerting network, notably in its ability to elevate readiness to respond as a result of an external cue [11-14].

The orienting network is concerned with the ability to align attention to a source of sensory input both overtly, in conjunction with eye movements, or covertly, in the absence of eye movements. It contextualises attentional focus so that specific information can be selected when presented with multiple competing sensory stimuli. The orienting of attention uses a network including the superior parietal cortex, temporoparietal cortex, frontal eye fields, pulvinar, and superior colliculus [9, 15]. Furthermore, impairments to orienting tasks were found following lesions to the basal forebrain systems of macaque monkeys [16], implicating these areas in the orienting network. Orienting has been linked to activation of cholinergic pathways [17], supported by research in rat brains that suggest acetylcholine, but not dopamine, is important for orienting tasks [18].

Executive networks are called upon during tasks that require top-down attentional control and the ability to focus attention selectively according to task demands. Tasks involving selective planning, monitoring or inhibition of automatic responses produce subjective reports of mental exertion. During attention that is mentally exerting and conflict monitoring the anterior cingulate cortex is consistently activated [19]. Interestingly, this network may possess higher-level metacognitive properties, in other words, the network might be involved in generating the subjective impression of cognitive effort [20, 21]. It dynamically interacts with primary sensory regions via bottom-up signals, which subsequently enhance top-down modulation of sensory processing via a feedback mechanism [22]. Anatomically, the network of structures involved in executive attentional tasks includes the anterior cingulate cortex [23], the medial frontal cortex [9], lateral ventral prefrontal cortex, and basal ganglia. The influence of the mesocortical dopamine system on these areas implicates the neurotransmitter in executive attention.

When does attention break down?

Attention deficits in health

While individual differences make some people more prone to lapses in attention, age alone is a risk factor for mild attentional decline. Older people are slower to react during alerting tasks [24] and perform slower on executive attention tasks [25], although orienting attention remains preserved with age [26]. There is debate about whether responding slowly to a target stimulus during an alerting task, a defining feature of age-related cognitive decline, is due to alterations in general processing speed or a selective deficit in an attentional domain [27]. However, motor processing speed alone could not explain the executive deficits. Generalised slowing of cognitive processing speed probably represents a decline in the structural integrity of the white matter tracts and loss of brain volume, both of which progress with advancing age [28].

We all suffer lapses in attention occasionally but there are situations when this can be detrimental. Hence the motivation for cognitive enhancement in healthy people is often when sustained vigilance taxing the alerting network is required, for example students at exam time, soldiers in battle or doctors on call. Prescription stimulant misuse by undergraduate American college students to enhance cognitive performance is well documented [29]. The incidence is estimated to be 3-10% with exam preparation cited as the most common reason [30]. The most commonly misused stimulants were methylphenidate, dextroamphetamin, methamphetamine and modafinil [31]. In cognitively normal individuals stimulants can improve attention, enhance consolidation of recently acquired information, reduce fatigue and the need for sleep [31, 32]. From a pharmacological perspective little is known about the long-term side effects of healthy individuals misusing prescription drugs or whether tolerance develops and performance is impaired following withdrawal [32].

Figure 1 Anatomy of the trinity of attention networks: alerting, orienting, and executive [1].
Figure 1

Anatomy of the trinity of attention networks: alerting, orienting, and executive [1].

TerminologyNeurotransmitter systems predominantly implicatedAssociated neurological conditionsCommon cognitive tests
NewOld
Alerting networkSustained attentionNoradrenalineNarcolepsyCognitive reaction time
Orienting networkSelective attentionCholinergicDementia with Lewy bodies, Parkinson’s disease dementiaRapid Serial Visual Presentation paradigm
Executive networkDivided attentionDopamineAttention Deficit Hyperactive DisorderStroop task, Wisconsin Card Sorting Test

Attention deficits in neurological disease

Dementia with Lewy bodies (DLB) is characterised by fluctuations in consciousness leading to daytime somnolence; visual hallucinations and parkinsonism with additional features such as rapid eye movement (REM) sleep behaviour disorder. Parkinson’s disease progresses to dementia in up to 80% of cases [33]. These two clinical syndromes differ in the sequence of onset of dementia and parkinsonism, but with progression both syndromes and underlying pathological changes become similar and can be viewed as a continuum rather than dichotomous entities. They are known under the umbrella term Lewy body dementias [34].

Anecdotally, as clinicians we have seen people so profoundly affected by attention fluctuations that they are admitted to hospital with episodes of presumed loss of consciousness and investigated for epilepsy and other conditions. A breakdown in attentional function is thought to underpin the tendency to fluctuations, which may also contribute to the development of visual hallucinations through impaired bottom-up processing of sensory information that allows false data to be sent to the entire cortex and not be recognised as abnormal [35].

People with DLB struggle to attain the minimal activation of alertness needed for both attention and information processing to operate [36]. DLB patients also experience serious difficulties in drawing their attention to new relevant locations, suggesting their orienting attention is impaired [37]. Executive dysfunction is an early, prominent neuropsychological feature [38], thus failure of attention is a particular problem in this group with all networks affected [39]. DLB results from the accumulation of neuronal intracellular aggregates of a-synuclein, which form Lewy bodies, secondary cellular injury, and apoptotic neurodegeneration [40]. Pathologically, the concentration of Lewy bodies is distributed in the frontal, cingulate and inferior temporal cortex, substantia nigra, locus coeruleus and components of the basal forebrain cholinergic system [41]. The observed deficits in alerting attention correspond to pathology in the locus coeruleus affecting the noradrenergic system; orienting attention deficits correspond to the cholinergic system of the basal forebrain and executive attention deficits correspond to substantia nigra pathology affecting the dopaminergic system [42].

Using medications to enhance attention in this population can consequentially improve other cognitive domains such as memory as well as overall cognitive function. The net effect to an individual is an improved quality of life and maintenance of independence a few years longer than previously possible [43]. Across a population of people with dementia this will significantly reduce care costs, potentially saving billions of pounds each year. The extensive cholinergic depletion in DLB may explain [38] improvement with cholinesterase inhibitor therapy [44], which has been licenced (specifically Rivastigmine) for Parkinson’s disease dementia since 2006 [45] and is used in DLB on the basis of the same underlying pathology. There is no established effective therapy to improve daytime somnolence, which has a significant impact on quality of life, with mixed results from trials exploring methylphenidate, dextroamphetamine and modafinil [46, 47].

Alzheimer’s disease (AD) is characterised by a progressive amnestic syndrome with the addition of deterioration in at least one other cognitive domain [48]. Pathologically, its hallmarks are intraneuronal neurofibrillary tangles consisting of hyperphosphorylated tau and extracellular parenchymal lesions of amyloid-β plaques, which leads to neuronal loss [49, 50]. Outside of episodic memory decline, traditionally attentional capacity is the first to deteriorate, often preceding impairment in perceptual and language function and reducing a patient’s capacity to cope independently [27]. Consistent with pathological distribution, deficits in short term memory, owing to medial temporal lobe involvement, predominate the clinical picture due to the significant interference with daily activities [51]. Whilst Braak and Braak histopathological staging [52] initially suggested disease emanation from the entorhinal cortex in parallel to brainstem changes, more recent, larger case series have interestingly suggested the pathological process commences in the lower brainstem before spreading to the transentorhinal region [53]. The notion of deficits in attention preceding memory is further supported by longitudinal studies combining neuropsychology and postmortem analysis have shown attention is the first cognitive domain to decline, even before episodic memory, in asymptomatic patients with AD neuropathology compared to asymptomatic patients without AD neuropathology [54]. As AD progresses, attentional domains are affected to different degrees with the most susceptible being executive and orienting domains whilst the alerting domain is usually only affected in more advanced disease [55, 56].

Traumatic brain injury encompasses a diverse range of presentations and a broad spectrum of severity, traditionally classified into mild, moderate and severe depending on Glasgow Coma Scale and post-traumatic amnesia [57]. It is a leading cause of death and disability in young people despite approximately 80% classified as mild. Recently it has become clear that head trauma can lead to progressive neurodegeneration either as a distinct pathological entity known as chronic traumatic encephalopathy (CTE) or as a major risk factor for neurodegenerative disease such as AD [58]. Pathologically, CTE is a tauopathy characterised by deposition of hyperphosphorylated tau in perivascular areas of the cerebral cortex (typically at the sulcal depths), TDP-43 immunoreactive inclusions and neuritis, and a relative absence of amyloid-β deposits [59, 60]. Studies of mild and moderate braininjured patients, when compared to controls, demonstrated impaired alerting attention as evidenced by slower responses for simple and choice reaction time during the days, weeks and months following injury. Increased standard deviation of reaction times compared to controls suggests greater variability in performance and an inability to sustain alerting attention [61]. Repetitive mild traumatic brain injury in American football players and jockeys are associated with impaired attention and also problems with executive function and visuomotor speed [62, 63].

Narcolepsy is a sleep disorder characterized by the tetrad of excessive daytime sleepiness, hypnogogic hallucinations, sleep paralysis, and cataplexy often associated with sleeponset REM periods [64]. The exact pathological mechanism is unknown but it is hypothesised there is autoimmune destruction of the hypocretin-producing neurons of the lateral hypothalamus. These neurons project widely throughout the brain and promote arousal by stimulating histaminergic neurons in the tuberomamillary nucleus, noradrenergic neurons in the locus coeruleus, serotonergic neurons in the raphe nuclei and cholinergic neurons in the basal forebrain [65]. Pharmacotherapy with stimulants is the mainstay of treatment, with modafinil and dexamphetamine as licenced agents.

Attention deficits in psychiatric disease

Psychiatric disorder can also lead to attentional deficits. Schizophrenia presents with positive clinical features such as hallucinations and delusions but also with negative clinical features such as apathy, anhedonia, flattening of affect and attentional deficits [66]. Imaging studies have demonstrated basal ganglia abnormalities in the left globus pallidus, which progress to widespread hypometabolism affecting the frontal lobes, especially the anterior cingulate gyrus and dorsolateral prefrontal cortex [67]. When presented with a visual stimulus, schizophrenics who have never been medicated have a protracted ability to shift their visual attention towards the right visual field; however, shifts towards their left visual field are normal [68]. This finding resolves following medication and is absent in chronic patients [69]. Since posterior parietal lesions are absent in schizophrenia, abnormalities of visual orienting as described above would not be expected unless the frontal lobes/executive attentional network interacted with the parietal lobes/orienting network to affect the initiation of attentional shift [70]. Whilst attentional networks are often considered in isolation, the impact of impairment of one attentional network on another can be significant yet is seldom explored.

Attention deficit hyperactivity disorder (ADHD) is a developmental disorder characterised by inattention, hyperactivity and impulsivity [71], which are differentially present according to the subtype. Whilst overt behavioural symptoms are dominant in the paediatric population, cognitive inefficiency is more pronounced in adults and centres on executive function and attention [72]. Deficits have been observed in alerting and executive attentional domain tasks with relative sparing of orienting attention [73, 74].

Enhancing attention using diet and lifestyle

Caffeine (1,3,7-trimethylxanthine) is a plant alkaloid naturally found in coffee, chocolate, guarana, and plants such as kola nut, and frequently added in its synthetic form to carbonated drinks [75].

It competes antagonistically at A1 and A2A adenosine receptors [76], resulting in a slowing of neural activity, and inhibiting the release of neurotransmitters such as glutamate, dopamine, and acetylcholine. Caffeine is a widely used stimulant that has multiple behavioural and physiological effects [77], with consumers often citing psychostimulant benefits after use. A1 receptors are found in the hypothalamic nuclei, cerebellum, and hippocampus, but are also widely distributed throughout the cerebral cortex [78]. A2A receptors are concentrated in the striatum and regulate perfusion by vasodilation, thus inhibiting psychomotor function. The competitive occupation of these receptors by caffeine increases cerebral perfusion [79], reduces vasoconstriction, enhances psychomotor function [76] and facilitates dopamine release at the presynaptic membrane [80]. A large body of work has suggested that even low doses (20 and 30 mg) of caffeine improve performance on tests of attention as soon as 20 min after consumption [81, 82]. Controversy around caffeine’s purported stimulant properties has arisen, however, owing to the failure to take account of withdrawal effects. Potentially debilitating withdrawal symptoms [83], such as lowered alertness and performance, begin 12 to 24 h after abstinence, peak between 20 and 51 h after abstinence, and vary in severity depending on the regular level of consumption [84]. Typically, withdrawal symptoms last between 2 and 9 days [83]. For example, studies that take withdrawal into account have found that caffeine merely restores cognitive performance during withdrawal up to the level of, but not above, normal levels [84]. There are no randomised trials assessing the effect of acute caffeine on attention in elderly or demented participants and this is an area worthy of exploration.

Caffeine benefits the physical performance of regular consumers and naïve consumers alike [85]. The Institute of Medicine suggest a caffeine dose of 150 mg influences physical performance for up to 10 h [86] and the International Olympic Committee prohibit its use above urinary caffeine concentrations greater than 12 mcg/mL, at which point ingestion is thought to be deliberately for performance enhancement [87]. However, improved physical performance is not thought to be due to enhanced attention but instead mediated via ergogenic effect on aerobic performance [88, 89]. In addition to potential acute therapeutic cognitive and motor benefits, caffeine’s chronic effects on adenosine receptors may enhance the neuroprotective role of adenosine [90], although longitudinal data have not demonstrated caffeine to be protective against later life cognitive decline [91, 92].

Compared to caffeine, flavonoids are a relatively new area of interest in the field of dietary attentional enhancers and therefore studies examining cognitive effects are sparse. Flavonoids are found in high levels in green and black teas, grapes, blackcurrants, red wine, apples and cocoa [93]. Cocoa beans are flavanol-rich (a subclass of flavonoid), with epicatechin the main type in unprocessed cocoa [93]. Clinical trials have demonstrated improved attention following flavanol ingestion compared to placebo in a dose-related fashion [94, 95]. A double-blind, controlled, cross-over trial using blackcurrant extracts demonstrated improvement on alerting and orienting but not executive tasks of attention [96]. This finding, however, has not been consistently reproduced with different flavonoid-rich foods [97]. The mechanism by which flavanols exert their effect is suggested to be via increased cerebral perfusion [93], mediated through stimulation of nitric oxide-dependent vasodilatation [98], commencing after 2 h and returning to baseline within 6 h [99]. Increasing cerebral perfusion and the availability of metabolic substrates to areas of increased cerebral activity is known to enhance cognition. The positive cognitionenhancing effects of ingesting glucose [100] and inhaling pure oxygen [101] when completing cognitively demanding tasks are well established. If further studies continue to support the above proposed mechanism of flavonoid’s effect, this could lead to a new line of enquiry into food stuffs rich in nitric oxide e.g. beetroot, which would also potentially improve cerebral perfusion.

Other emerging supplements worth a mention include Ginkgo biloba, Panax ginseng, Rhodiola rosea, theobromine and tyrosine [75]. Limited clinical trials have thus far shown mixed results in most cases and several of these supplements already contain caffeine or flavonoids. Therefore, isolating another active ingredient is challenging. These compounds are currently at the earliest stages of investigation, optimum doses are not known, and mechanisms of action have not yet been definitively established.

Meditation (often termed “mindfulness”) has gained increased scientific recognition in recent years as a tool to enhance concentration and cognition. For research purposes meditation can broadly be divided into focused attention meditation (FAM) and open monitoring meditation (OMM) [102]. FAM is the starting point for any novice meditator [103] requiring them to focus attention on a chosen object or event e.g. breathing. The practice of FAM involves alerting attention to a target object, the ability to disengage from a distracting object without further involvement (executive attention) and the ability to redirect focus promptly to the chosen object (orienting attention) [103]. Once familiar with the FAM technique and able to sustain their attentional focus on an object for a considerable amount of time, a practitioner can then progress to OMM. During OMM the focus of the meditation becomes the monitoring of awareness itself. The aim is to stay in the monitoring state, remaining attentive to any experience that might arise. FAM induces a narrow attentional focus due to the highly concentrative nature of the meditation, whereas OMM induces a broader attentional focus by allowing and acknowledging any experiences that might arise during meditation [103]. A significant shortcoming of the literature arises when comparing studies in that they differ in meditation technique, course prescription, and outcome measure [104]. Study heterogeneity could explain the mixed results of either type of meditation on attention enhancement. Whilst positive studies have demonstrated varying improvement across all of the attentional domains, the effect on alerting attention appears particularly strong [105]. Meditation shows promise as a cost effective, safe attentional enhancer but randomised controlled trials with standardised paradigms systematically assessing short and long term effects are required before firm conclusions can be drawn.

Enhancing attention with prescribed medications

Cholinesterase inhibitors (e.g., donepezil, galantamine, rivastigmine) were first introduced in 1997 and have now become the first line pharmacological treatment for AD and DLB [106, 107]. They work by inhibiting the breakdown of acetylcholine, an important neurotransmitter associated with memory, by blocking the enzyme acetylcholinesterase. They improve scores on bedside cognitive tests (Mini-Mental State Examination) by a modest 5% over a 12 month period [108]. Whilst attention, working and episodic memory are improved, it is thought an increase in arousal, especially orienting attention, is the common pathway through which these effects are mediated [109].

Amphetamine belongs to the class of drugs called the #x03B2;-phenylethylamines and is structurally similar to the catecholamine neurotransmitters noradrenaline and dopamine [110]. The pharmacological effect of amphetamine is predominantly mediated by monoamine release, complemented by reuptake inhibition to augment synaptic monoamine concentrations. Amphetamine dose-dependently increases the extracellular concentrations of noradrenaline in the prefrontal cortex and dopamine in the striatum [110]. D-Amphetamine improved reaction times on the spatial working memory and Stroop tasks for both individuals with schizophrenia and healthy controls, and improved working memory accuracy in schizophrenia [111]. Interestingly, the effect of D-amphetamine in healthy participants is subject to great variation with improved performance only in those subjects who had relatively low working memory capacity at baseline, whereas in subjects who had high working memory capacity at baseline, it worsened performance [112].

Modafinil is a wakefulness-promoting agent licenced by the European Medicines Agency (London, UK) for the treatment of narcolepsy and is also used for the treatment of excessive daytime somnolence. It is thought to have a different mechanism of action than amphetamine, and its use has become widespread due to low risk for abuse and a lower risk of cardiovascular side effects. Modafinil has been shown to directly bind to the dopamine transporter and to the noradrenaline transporter [113, 114]. This leads to significantly elevated extracellular dopamine, noradrenaline, serotonin, glutamate, and histamine levels, and to decreased γ-aminobutyric acid (GABA) levels [115]. Its neural dopaminergic effect is caused by blocking dopamine transporter proteins [116].

Like other stimulants, it increases monoamine release, but also elevates hypothalamic histamine levels, and is therefore considered a ‘wake-promoter’ rather than an amphetamine-like stimulant [117]. Overall, modafinil is well tolerated, however there are growing case reports of precipitation or exacerbation of psychosis in patients with schizophrenia, narcolepsy and DLB. This is usually associated with doses higher than 200 mg/day or with co-administration of another stimulant, such as caffeine [118].

Methylphenidate facilitates dopaminergic transmission by inhibiting the dopamine reuptake transporter and is the treatment of choice for ADHD [119]. It inhibits the plasma membrane catecholamine transporters, causing an increase of intrasynaptic dopamine and noradrenaline concentrations [120]. Despite its use as a cognitive enhancer by American college students it is not thought to improve cognition in those with a normal IQ and hence already close to an optimum level of dopamine [119]. It is important to note the effects of dopamine on cognition are often described to follow an inverted U-shaped curve in which intermediate levels of neurotransmitter activity lead to optimal cognitive performance but lower and higher levels may lead to suboptimal performance [109] and that dose-response relationships may vary between cognitive domains [121]. In healthy individuals methylphenidate improves working memory at a medium dose, and speed of processing at a low dose. Improvements in verbal memory, vigilance and executive function have been demonstrated less frequently [121].

Unlike amphetamines, which increase both dopamine and noradrenaline levels in both the nucleus accumbens and the prefrontal cortex, atomoxetine is a selective noradrenaline transporter inhibitor that increases synaptic noradrenaline and dopamine levels in the prefrontal cortex only. The fact that atomoxetine does not increase dopamine levels in the nucleus accumbens (or other striatal regions) [122, 123] may explain the lower liability to abuse (compared to amphetamines) [124]. Clinically, it has been used with success in ADHD [125], improving executive attention [126] but disappointingly efficacy has not be demonstrated in other conditions. Randomised controlled trials of participants with attention deficits following traumatic brain injury [127], schizophrenia with cognitive decline [128], and Huntington’s disease [129] did not yield any significant improvement with atomoxetine.

Histamine H3 receptor antagonists are novel therapies in development to treat daytime somnolence [130]. Histaminergic neurons promote wakefulness through their direct widespread projections to the cerebral cortex and indirectly via their subcortical targets in the thalamus, basal forebrain, and brainstem. H3 receptors control the release of a variety of other neurotransmitters involved in sleep-waking regulation, including biogenic amines, acetylcholine, glutamate and GABA [131]. Animal studies have shown a synergistic effect of H3 receptor antagonists with acetylcholinesterase inhibitors, as they enhance extracellular acetylcholine by distinct mechanisms, which could prove beneficial in DLB patients [132]. So far randomized, controlled, double-blind trials have not yielded any clinical benefit in AD although there was an improvement in one trial for episodic memory but no improvement on tasks of attention [133, 134]. The compound pitolisant has shown great promise in reducing daytime somnolence in narcolepsy in phase II trials, reducing the Epworth Sleepiness Scale by 6 points (max score 24) from baseline, whilst having an acceptable side effect profile [135]. Phase III trial results for pitolisant and other H3 receptor antagonists are awaited.

Experimental treatments

Deep brain stimulation (DBS) delivers continuous electrical stimulation to focal areas of the brain through chronically implanted electrodes that are programmable in amplitude, pulse width and frequency [136]. Stimulation can alter neurotransmitter release and hyperpolarise or depolarise neurons at the target zone, consequently inhibiting or stimulating neural circuits, respectively. DBS can potentially restore a pre-disease state of activity within a circuit or, alternatively, replace pathological activity with a new therapeutic pattern [137]. High-frequency stimulation of the globus pallidus pars interna (GPi) bilaterally or subthalamic nucleus (STN) bilaterally is an established intervention for advanced Parkinson’s disease refractory to medical therapy or associated with motor complication, such as dyskinesias [138]. There is a slight preference for stimulating the STN over the GPi from a motor-efficacy perspective [139]. DBS also impacts on cognition at these sites; whilst there were no large differences in neuropsychological outcomes after stimulating the two areas, there was a greater negative change on orienting (Trail Making Test B) and executive (Stroop task) tasks of attention with STN stimulation [140]. Epilepsy patients treated with DBS of the bilateral anterior thalamic nuclei were assessed on computerised test of the executive attentional domain both on and off stimulation [141]. There were increased errors relating to lack of response inhibition and increased reaction times when distractors were used, during stimulation periods compared to when stimulation was turned off.

DBS is an exciting, emerging therapy for treating an expanding number of neurological and psychiatric disorders. However, to date very few studies have specifically assessed cognitive modulation as the primary outcome in patients with dementia [142]. A case report of bilateral DBS of the hypothalamus for appetite control in a morbidly obese man failed to achieve the intended outcome although a significant improvement in short term memory was observed [143]. It was hypothesised this unintentional effect was due to stimulation of the fornix, which lies in close proximity and has led to phase 1 trials that have shown encouraging results of a slowed rate of decline in AD [144]. Another case is the report of a man with Parkinson’s disease dementia who received bilateral STN electrodes for motor symptoms but also experimental implantation of electrodes into the nucleus basalis of Meynert (NBM) [145]. The NBM is dense with ascending cholinergic neurons important for memory and orienting attention. A substantial cognitive improvement was noted following NBM stimulation, including attention, alertness and concentration, which receded once the stimulation ceased. In addition to STN DBS, bilateral pedunclopontine nucleus stimulaton has been explored in six patients with Parkinson’s disease dementia who were given low frequency stimulation, which improved attention and executive function. Increased glucose metabolism in the frontal cortices and left striatum following stimulation were also noted [146]. The results from these case reports and small series must be interpreted with caution until data from phase 2 trials become available. As the safety profile of DBS surgery improves along with the understanding of stimulation effects to salient areas of the brain, then experimental use may become established in promising areas such as the NBM and proliferate to target new areas such as the locus coeruleus, which could improve symptoms of inattention.

Transcranial magnetic stimulation (TMS) involves short-lasting magnetic pulses non-invasively to the cortex of the brain to depolarize neurons. Potential mechanisms for enhancement can be grouped into three classes: i) nonspecific effects of TMS; superficial effects such as coil vibration and audible clicking can prime participants to respond, termed “intersensory facilitation”; ii) direct modulation of a cortical region or network that leads to increased processing efficiency; and iii) disruption or inhibition of non-essential, competing processing (termed “addition-by-subtraction”) [147]. Repetitive TMS has inhibitory effects on the cortex when performed at low frequency (< 5Hz) and excitatory effects at high frequencies (> 5Hz) [148]. The major impact of TMS has been to isolate an area of human cortex in vivo and assess its function within a specific cognitive process. This has been illuminating in study of attention, for example, identifying the importance of the right but not the left frontal eye field in supporting sustained attention [149]. Remarkably, TMS can also enhance attention. The right parietal cortex is known to play an important role in top-down modulation of orienting attention. Ten minutes of repetitive TMS to the right posterior parietal cortex [150] reduces the effect of distractors during a visual search task, resulting in reduced reaction time. Similarly, improvement in executive attention and Stroop task performance was seen following anterior cingulate cortex stimulation [151]. While TMS is considerably less invasive than DBS, a significant limitation to TMS therapy is the need for repeated doses by an experienced practitioner to exhibit a chronic effect. Further work to assess the practical application of TMS to improve symptoms and quality of life in chronic neurological disease is awaited.

Conclusions

Attentional enhancers have the ability to improve the quality of life and reduce care costs in people with neurological conditions when impaired attention is a prominent feature. Improved understanding of attention networks has allowed clinicians to target enhancing therapies according to the specific attention domain affected. Unfortunately, few therapies are currently licenced and concerns over side effects are legitimate as, in addition to systemic side effects, imbalances in attention associated with hypervigilance are problematic. Whilst few therapies are currently licenced, novel therapies such as histamine H3 receptor antagonists, DBS and TMS show promise. There is also the tantalising possibility of self-help for attentional problems through lifestyle changes consisting of dietary modifications and meditation, although further assessment of efficacy and feasibility is required before these can be recommended widely.

References

[1] Posner M.I., Rothbart M.K., Research on attention networks as a model for the integration of psychological science, Annu. Rev. Psychol., 2007, 58, 1-2310.1146/annurev.psych.58.110405.085516Search in Google Scholar PubMed

[2] Fan J., McCandliss B.D., Fossella J., Flombaum J.I., Posner M.I., The activation of attentional networks, Neuroimage, 2005, 26, 471-47910.1016/j.neuroimage.2005.02.004Search in Google Scholar PubMed

[3] Pessoa L., Kastner S., Ungerleider L.G., Neuroimaging studies of attention: from modulation of sensory processing to top-down control, J. Neurosci., 2003, 23, 3990-399810.1523/JNEUROSCI.23-10-03990.2003Search in Google Scholar

[4] Buschman T.J., Miller E.K., Top-down versus bottom-up control of attention in the prefrontal and posterior parietal cortices, Science, 2007, 315, 1860-186210.1126/science.1138071Search in Google Scholar PubMed

[5] Treisman A.M., Gelade G., A feature-integration theory of attention, Cogn. Psychol., 1980, 12, 97-13610.1093/acprof:osobl/9780199734337.003.0011Search in Google Scholar

[6] Treisman A., Feature binding, attention and object perception, Philos. Trans. R. Soc. Lond. B Biol. Sci., 1998, 353, 1295-130610.1098/rstb.1998.0284Search in Google Scholar PubMed PubMed Central

[7] Coulthard E., Singh-Curry V., Husain M., Treatment of attention deficits in neurological disorders, Curr. Opin. Neurol., 2006, 19, 613-61810.1097/01.wco.0000247605.57567.9aSearch in Google Scholar PubMed

[8] Kahneman D., Attention and effort, Prentice-Hall, Englewood Cliffs, NJ, USA, 1973Search in Google Scholar

[9] Petersen S.E., Posner M.I., The attention system of the human brain: 20 years after, Annu. Rev. Neurosci., 2012, 35, 73-8910.1146/annurev-neuro-062111-150525Search in Google Scholar PubMed PubMed Central

[10] Mottaghy F.M., Willmes K., Horwitz B., Müller H.W., Krause B.J., Sturm W., Systems level modeling of a neuronal network subserving intrinsic alertness, Neuroimage, 2006, 29, 225-23310.1016/j.neuroimage.2005.07.034Search in Google Scholar PubMed

[11] Aston-Jones G., Cohen J.D., An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance, Annu. Rev. Neurosci., 2005, 28, 403-45010.1146/annurev.neuro.28.061604.135709Search in Google Scholar PubMed

[12] Witte E.A., Marrocco R.T., Alteration of brain noradrenergic activity in rhesus monkeys affects the alerting component of covert orienting, Psychopharmacology, 1997, 132, 315-32310.1007/s002130050351Search in Google Scholar PubMed

[13] Witte E.A., Davidson M.C., Marrocco R.T., Effects of altering brain cholinergic activity on covert orienting of attention: comparison of monkey and human performance, Psychopharmacology, 1997, 132, 324-33410.1007/s002130050352Search in Google Scholar PubMed

[14] Coull J.T., Nobre A.C., Frith C.D., The noradrenergic a2 agonist clonidine modulates behavioural and neuroanatomical correlates of human attentional orienting and alerting, Cereb. Cortex, 2001, 11, 73-8410.1093/cercor/11.1.73Search in Google Scholar PubMed

[15] Corbetta M., Shulman G.L., Control of goal-directed and stimulusdriven attention in the brain, Nat. Rev. Neurosci., 2002, 3, 201-21510.1038/nrn755Search in Google Scholar PubMed

[16] Voytko M.L., Olton D.S., Richardson R.T., Gorman L.K., Tobin J.R., Price D.L., Basal forebrain lesions in monkeys disrupt attention but not learning and memory, J. Neurosci., 1994, 14, 167-18610.1523/JNEUROSCI.14-01-00167.1994Search in Google Scholar

[17] Beane M., Marrocco R.T., Norepinephrine and acetylcholine mediation of the components of reflexive attention: implications for attention deficit disorders, Prog. Neurobiol., 2004, 74, 167-18110.1016/j.pneurobio.2004.09.001Search in Google Scholar PubMed

[18] Everitt B.J., Robbins T.W., Central cholinergic systems and cognition, Annu. Rev. Psychol., 1997, 48, 649-68410.1146/annurev.psych.48.1.649Search in Google Scholar PubMed

[19] Botvinick M.M., Cohen J.D., Carter C.S., Conflict monitoring and anterior cingulate cortex: an update, Trends Cogn. Sci., 2004, 8, 539-54610.1016/j.tics.2004.10.003Search in Google Scholar PubMed

[20] Fernandez-Duque D., Baird J.A., Posner M.I., Executive attention and metacognitive regulation, Conscious. Cogn., 2000, 9, 288-30710.1006/ccog.2000.0447Search in Google Scholar PubMed

[21] Fernandez-Duque D., Thornton I.M., Change detection without awareness: do explicit reports underestimate the representation of change in the visual system?, Vis. Cogn., 2000, 7, 323-34410.1080/135062800394838Search in Google Scholar

[22] Crottaz-Herbette S., Menon V., Where and when the anterior cingulate cortex modulates attentional response: combined fMRI and ERP evidence, J. Cogn. Neurosci., 2006, 18, 766-78010.1162/jocn.2006.18.5.766Search in Google Scholar PubMed

[23] Botvinick M.M., Braver T.S., Barch D.M., Carter C.S., Cohen J.D., Conflict monitoring and cognitive control, Psychol. Rev., 2001, 108, 624-65210.1037/0033-295X.108.3.624Search in Google Scholar

[24] Geldmacher D.S., Riedel T.M., Age effects on random-array letter cancellation tests, Neuropsychiatry Neuropsychol. Behav. Neurol., 1999, 12, 28-34Search in Google Scholar

[25] Spieler D.H., Balota D.A., Faust M.E., Stroop performance in healthy younger and older adults and in individuals with dementia of the Alzheimer’s type, J. Exp. Psychol. Hum. Percept. Perform., 1996, 22, 461-47910.1037/0096-1523.22.2.461Search in Google Scholar

[26] Kotary L., Hoyer W.J., Age and the ability to inhibit distractor information in visual selective attention, Exp. Aging Res., 1995, 21, 159-17110.1080/03610739508254275Search in Google Scholar PubMed

[27] Perry R.J., Hodges J.R., Attention and executive deficits in Alzheimer’s disease. A critical review, Brain, 1999, 122, 383-40410.1093/brain/122.3.383Search in Google Scholar PubMed

[28] Rabbitt P., Mogapi O., Scott M., Thacker N., Lowe C., Horan M., et al., Effects of global atrophy, white matter lesions, and cerebral blood flow on age-related changes in speed, memory, intelligence, vocabulary, and frontal function, Neuropsychology, 2007, 21, 684-69510.4324/9781315621142-17Search in Google Scholar

[29] Greely H., Sahakian B., Harris J., Kessler R.C., Gazzaniga, M., Campbell P., et al., Towards responsible use of cognitive-enhancing drugs by the healthy, Nature, 2008, 456, 702-70510.1007/978-94-007-1787-9_14Search in Google Scholar

[30] Kadison R., Getting an edge - use of stimulants and antidepressants in college, N. Engl. J. Med., 2005, 353, 1089-109110.1056/NEJMp058047Search in Google Scholar PubMed

[31] Smith M.E., Farah M.J., Are prescription stimulants “smart pills”? The epidemiology and cognitive neuroscience of prescription stimulant use by normal healthy individuals, Psychol. Bull., 2011, 137, 717-74110.1037/a0023825Search in Google Scholar PubMed PubMed Central

[32] Bossaer J.B., Gray J.A., Miller S.E., Enck G., Gaddipati V.C., Enck R.E., The use and misuse of prescription stimulants as “cognitive enhancers” by students at one academic health sciences center, Acad. Med., 2013, 88, 967-97110.1097/ACM.0b013e318294fc7bSearch in Google Scholar PubMed

[33] Emre M., Aarsland D., Brown R., Burn D.J., Duyckaerts C., Mizuno Y., et al., Clinical diagnostic criteria for dementia associated with Parkinson’s disease, Mov. Disord., 2007, 22, 1689-707, quiz 183710.1002/mds.21507Search in Google Scholar

[34] Walker Z., Possin K.L., Boeve B.F., Aarsland D., Lewy body dementias, Lancet, 2015, 386, 1683-169710.1016/S0140-6736(15)00462-6Search in Google Scholar

[35] Heitz C., Noblet V., Cretin B., Philippi N., Kremer L., Stackfleth M., et al., Neural correlates of visual hallucinations in dementia with Lewy bodies, Alzheimers Res. Ther., 2015, 7, 610.1186/s13195-014-0091-0Search in Google Scholar PubMed PubMed Central

[36] Ballard C., O’Brien J., Gray A., Cormack F., Ayre G., Rowan E., et al., Attention and fluctuating attention in patients with dementia with Lewy bodies and Alzheimer disease, Arch. Neurol., 2001, 58, 977-98210.1001/archneur.58.6.977Search in Google Scholar PubMed

[37] Cormack F., Gray A., Ballard C., Tovée M.J., A failure of ‘pop-out’ in visual search tasks in dementia with Lewy Bodies as compared to Alzheimer’s and Parkinson’s disease, Int. J. Geriatr. Psychiatry, 2004, 19, 763-77210.1002/gps.1159Search in Google Scholar PubMed

[38] Collerton D., Burn D., McKeith I., O’Brien J., Systematic review and meta-analysis show that dementia with Lewy bodies is a visualperceptual and attentional-executive dementia, Dement. Geriatr. Cogn. Disord., 2003. 16(4): p. 229-37.10.1159/000072807Search in Google Scholar PubMed

[39] Calderon J., Perry R.J., Erzinclioglu S.W., Berrios G.E., Dening T.R., Hodges J.R., Perception, attention, and working memory are disproportionately impaired in dementia with Lewy bodies compared with Alzheimer’s disease, J. Neurol. Neurosurg. Psychiatry, 2001, 70, 157-16410.1136/jnnp.70.2.157Search in Google Scholar PubMed PubMed Central

[40] McKeith I.G., Dickson D.W., Lowe J., Emre M., O’Brien J.T., Feldman H., et al., Diagnosis and management of dementia with Lewy bodies: third report of the DLB Consortium, Neurology, 2005, 65, 1863-187210.1212/01.wnl.0000187889.17253.b1Search in Google Scholar PubMed

[41] McKeith I.G., Galasko D., Kosaka K., Perry E.K., Dickson D.W., Hansen L.A., et al., Consensus guidelines for the clinical and pathologic diagnosis of dementia with Lewy bodies (DLB): report of the consortium on DLB international workshop, Neurology, 1996, 47, 1113-112410.1212/WNL.47.5.1113Search in Google Scholar

[42] Fuentes L.J., Fernández P.J., Campoy G., Antequera M.M., García-Sevilla J., Antúnez C., Attention network functioning in patients with dementia with Lewy bodies and Alzheimer’s disease, Dement. Geriatr. Cogn. Disord., 2010, 29, 139-14510.1159/000275672Search in Google Scholar PubMed

[43] Geldmacher D.S., Provenzano G., McRae T., Mastey V., Ieni J.R., Donepezil is associated with delayed nursing home placement in patients with Alzheimer’s disease, J. Am. Geriatr. Soc., 2003, 51, 937-94410.1046/j.1365-2389.2003.51306.xSearch in Google Scholar PubMed

[44] Wesnes K.A., McKeith I., Edgar C., Emre M., Lane R., Benefits of rivastigmine on attention in dementia associated with Parkinson disease, Neurology, 2005, 65, 1654-165610.1212/01.wnl.0000184517.69816.e9Search in Google Scholar PubMed

[45] Emre M., Aarsland D., Albanese A., Byrne E.J., Deuschl G., De Deyn P.P., et al., Rivastigmine for dementia associated with Parkinson’s disease, N. Engl. J. Med., 2004, 351, 2509-251810.1056/NEJMoa041470Search in Google Scholar PubMed

[46] Seppi K., Weintraub D., Coelho M., Perez-Lloret S., Fox S.H., Katzenschlager R., et al., The Movement Disorder Society evidence-based medicine review update: treatments for the non-motor symptoms of Parkinson’s disease, Mov. Disord., 2011, 26, Suppl. 3, S42-8010.1002/mds.23884Search in Google Scholar PubMed PubMed Central

[47] Högl B., Saletu M., Brandauer E., Glatzl S., Frauscher B., Seppi K., et al., Modafinil for the treatment of daytime sleepiness in Parkinson’s disease: a double-blind, randomized, crossover, placebo-controlled polygraphic trial, Sleep, 2002, 25, 905-90910.1093/sleep/25.8.62Search in Google Scholar

[48] Cummings J.L., Alzheimer’s disease, N. Engl. J. Med., 2004, 351, 56-6710.1201/b14345-4Search in Google Scholar

[49] Consensus recommendations for the postmortem diagnosis of Alzheimer’s disease. The National Institute on Aging, and Reagan Institute Working Group on Diagnostic Criteria for the Neuropathological Assessment of Alzheimer’s Disease, Neurobiol. Aging, 1997, 18, 4 Suppl. 4, S1-2Search in Google Scholar

[50] Buerger K., Ewers M, Pirttilä T, Zinkowski R., Alafuzoff I., Teipel S.J., et al., CSF phosphorylated tau protein correlates with neocortical neurofibrillary pathology in Alzheimer’s disease, Brain, 2006, 129, 3035-304110.1093/brain/awl269Search in Google Scholar PubMed

[51] Whitwell J.L., Josephs K.A., Murray M.E., Kantarci K., Przybelski S.A., Weigand S.D., et al., MRI correlates of neurofibrillary tangle pathology at autopsy: a voxel-based morphometry study, Neurology, 2008, 71, 743-74910.1212/01.wnl.0000324924.91351.7dSearch in Google Scholar PubMed PubMed Central

[52] Braak H., Braak E., Neuropathological stageing of Alzheimer-related changes, Acta Neuropathol., 1991, 82, 239-25910.1007/BF00308809Search in Google Scholar PubMed

[53] Braak H., Thal D.R., Ghebremedhin E., Del Tredici K., Stages of the pathologic process in Alzheimer disease: age categories from 1 to 100 years, J. Neuropathol. Exp. Neurol., 2011, 70, 960-96910.1097/NEN.0b013e318232a379Search in Google Scholar PubMed

[54] Monsell S.E., Mock C., Hassenstab J., Roe C.M., Cairns N.J., Morris J.C., et al., Neuropsychological changes in asymptomatic persons with Alzheimer disease neuropathology, Neurology, 2014, 83, 434-44010.1212/WNL.0000000000000650Search in Google Scholar

[55] Perry R.J., Watson P., Hodges J.R., The nature and staging of attention dysfunction in early (minimal and mild) Alzheimer’s disease: relationship to episodic and semantic memory impairment, Neuropsychologia, 2000, 38, 252-27110.1016/S0028-3932(99)00079-2Search in Google Scholar

[56] Levinoff E.J., Saumier D., Chertkow H., Focused attention deficits in patients with Alzheimer’s disease and mild cognitive impairment, Brain Cogn., 2005, 57, 127-13010.1016/j.bandc.2004.08.058Search in Google Scholar PubMed

[57] Lange R.T., Brickell T.A., French L.M., Merritt V.C., Bhagwat A., Pancholi S., et al., Neuropsychological outcome from uncomplicated mild, complicated mild, and moderate traumatic brain injury in US military personnel, Arch. Clin. Neuropsychol., 2012, 27, 480-49410.1093/arclin/acs059Search in Google Scholar PubMed

[58] Gavett B.E., Stern R.A., Cantu R.C., Nowinski C.J., McKee A.C., Mild traumatic brain injury: a risk factor for neurodegeneration, Alzheimers Res. Ther., 2010, 2, 1810.1186/alzrt42Search in Google Scholar PubMed PubMed Central

[59] Iverson G.L., Gardner A.J., McCrory P., Zafonte R., Castellani R.J., A critical review of chronic traumatic encephalopathy, Neurosci. Biobehav. Rev., 2015, 56, 276-29310.1016/j.neubiorev.2015.05.008Search in Google Scholar PubMed

[60] McKee A.C., Stein T.D., Kiernan P.T., Alvarez V.E., The neuropathology of chronic traumatic encephalopathy, Brain Pathol., 2015, 25, 350-36410.1016/B978-0-444-63954-7.00028-8Search in Google Scholar PubMed

[61] Stuss D.T., Stethem L.L., Hugenholtz H., Picton T., Pivik J., Richard M.T., Reaction time after head injury: fatigue, divided and focused attention, and consistency of performance, J. Neurol. Neurosurg. Psychiatry, 1989, 52, 742-74810.1136/jnnp.52.6.742Search in Google Scholar PubMed PubMed Central

[62] Wall S.E., Williams W.H., Cartwright-Hatton S., Kelly T.P., Murray J., Murray M., et al., Neuropsychological dysfunction following repeat concussions in jockeys, J. Neurol. Neurosurg. Psychiatry, 2006, 77, 518-52010.1136/jnnp.2004.061044Search in Google Scholar PubMed PubMed Central

[63] Collins M.W., Grindel S.H., Lovell M.R., Dede D.E., Moser D.J., Phalin B.R., et al., Relationship between concussion and neuropsychological performance in college football players, JAMA, 1999, 282, 964-97010.1001/jama.282.10.964Search in Google Scholar PubMed

[64] Leschziner G., Narcolepsy: a clinical review, Pract. Neurol., 2014, 14, 323-33110.1136/practneurol-2014-000837Search in Google Scholar

[65] Luppi P.H., Clément O., Sapin E., Gervasoni D., Peyron C., Léger L., et al., The neuronal network responsible for paradoxical sleep and its dysfunctions causing narcolepsy and rapid eye movement (REM) behavior disorder, Sleep Med. Rev., 2011, 15, 153-16310.1016/j.smrv.2010.08.002Search in Google Scholar

[66] Ochoa E.L., Lasalde-Dominicci J., Cognitive deficits in schizophrenia: focus on neuronal nicotinic acetylcholine receptors and smoking, Cell. Mol. Neurobiol., 2007, 27, 609-63910.1007/s10571-007-9149-xSearch in Google Scholar

[67] Early T.S., Posner M.I., Reiman E.M., Raichle M.E., Hyperactivity of the left striato-pallidal projection. Part I: Lower level theory, Psychiatr. Dev., 1989, 7, 85-108Search in Google Scholar

[68] Posner M.I., Early T.S., Reiman E., Pardo P.J., Dhawan M., Asymmetries in hemispheric control of attention in schizophrenia, Arch. Gen. Psychiatry, 1988, 45, 814-82110.1001/archpsyc.1988.01800330038004Search in Google Scholar

[69] Maruff P., Hay D., Malone V., Currie J., Asymmetries in the covert orienting of visual spatial attention in schizophrenia, Neuropsychologia, 1995, 33, 1205-122310.1016/0028-3932(95)00037-4Search in Google Scholar

[70] Fernandez-Duque D., Posner M.I., Brain imaging of attentional networks in normal and pathological states, J. Clin. Exp. Neuropsychol., 2001, 23, 74-9310.1076/jcen.23.1.74.1217Search in Google Scholar PubMed

[71] Lange K.W., Reichl S., Lange K.M., Tucha L., Tucha O., The history of attention deficit hyperactivity disorder, Atten. Defic. Hyperact. Disord., 2010, 2, 241-25510.1007/s12402-010-0045-8Search in Google Scholar PubMed PubMed Central

[72] Woods S.P., Lovejoy D.W., Ball J.D., Neuropsychological characteristics of adults with ADHD: a comprehensive review of initial studies, Clin. Neuropsychol., 2002, 16, 12-3410.1076/clin.16.1.12.8336Search in Google Scholar PubMed

[73] Tucha O., Mecklinger L., Laufkötter R., Klein H.E., Walitza S., Lange K.W., Methylphenidate-induced improvements of various measures of attention in adults with attention deficit hyperactivity disorder, J. Neural Transm., 2006, 113, 1575-159210.1007/s00702-005-0437-7Search in Google Scholar PubMed

[74] Tucha L., Tucha O., Walitza S., Sontag T.A., Laufkötter R., Linder M., et al., Vigilance and sustained attention in children and adults with ADHD, J. Atten. Disord., 2009, 12, 410-42110.1177/1087054708315065Search in Google Scholar PubMed

[75] Baker L.B., Nuccio R.P., Jeukendrup A.E., Acute effects of dietary constituents on motor skill and cognitive performance in athletes, Nutr. Rev., 2014, 72, 790-80210.1111/nure.12157Search in Google Scholar

[76] Ferre S., Role of the central ascending neurotransmitter systems in the psychostimulant effects of caffeine, J. Alzheimers Dis., 2010, 20, Suppl. 1, S35-4910.3233/JAD-2010-1400Search in Google Scholar

[77] Fredholm B.B., Bättig K., Holmén J., Nehlig A., Zvartau E.E., Actions of caffeine in the brain with special reference to factors that contribute to its widespread use, Pharmacol. Rev., 1999, 51, 83-133Search in Google Scholar

[78] Smith A., Sutherland D., Christopher G., Effects of repeated doses of caffeine on mood and performance of alert and fatigued volunteers, J. Psychopharmacol., 2005, 19, 620-62610.1177/0269881105056534Search in Google Scholar

[79] Addicott M.A., Yang L.L., Peiffer A.M., Burnett L.R., Burdette J.H., Chen M.Y., et al., The effect of daily caffeine use on cerebral blood flow: how much caffeine can we tolerate?, Hum. Brain Mapp., 2009, 30, 3102-311410.1002/hbm.20732Search in Google Scholar

[80] Ferré S., Fredholm B.B., Morelli M., Popoli P., Fuxe K., Adenosine-dopamine receptor-receptor interactions as an integrative mechanism in the basal ganglia, Trends Neurosci., 1997, 20, 482-48710.1016/S0166-2236(97)01096-5Search in Google Scholar

[81] Smit H.J., Rogers P.J., Effects of low doses of caffeine on cognitive performance, mood and thirst in low and higher caffeine consumers, Psychopharmacology, 2000, 152, 167-17310.1007/s002130000506Search in Google Scholar PubMed

[82] Lieberman H.R., Wurtman R.J., Emde G.G., Roberts C., Coviella I.L., The effects of low doses of caffeine on human performance and mood, Psychopharmacology, 1987, 92, 308-31210.1007/BF00210835Search in Google Scholar PubMed

[83] Juliano L.M., Griffiths R.R., A critical review of caffeine withdrawal: empirical validation of symptoms and signs, incidence, severity, and associated features, Psychopharmacology, 2004, 176, 1-2910.1007/s00213-004-2000-xSearch in Google Scholar PubMed

[84] Rogers P.J., Hohoff C., Heatherley S.V., Mullings E.L., Maxfield P.J., Evershed R.P., et al., Association of the anxiogenic and alerting effects of caffeine with ADORA2A and ADORA1 polymorphisms and habitual level of caffeine consumption, Neuropsychopharmacology, 2010, 35, 1973-198310.1038/npp.2010.71Search in Google Scholar PubMed PubMed Central

[85] Graham T.E., Caffeine and exercise: metabolism, endurance and performance, Sports Med., 2001, 31, 785-80710.2165/00007256-200131110-00002Search in Google Scholar PubMed

[86] Institute of Medicine Committee on Military Nutrition Research, Caffeine for the sustainment of mental task performance: formulations for military operations, The National Academy of Sciences, National Academies Press, Washington, DC, USA, 2001Search in Google Scholar

[87] Jenkinson D.M., Harbert A.J., Supplements and sports, Am. Fam. Physician, 2008, 78, 1039-1046Search in Google Scholar

[88] Magkos F., Kavouras S.A., Caffeine and ephedrine: physiological, metabolic and performance-enhancing effects, Sports Med., 2004, 34, 871-88910.2165/00007256-200434130-00002Search in Google Scholar

[89] Davis J.K., Green J.M., Caffeine and anaerobic performance: ergogenic value and mechanisms of action, Sports Med., 2009, 39, 813-83210.2165/11317770-000000000-00000Search in Google Scholar

[90] Fredholm B.B., Chen J.F., Cunha R.A., Svenningsson P., Vaugeois J.M., Adenosine and brain function, Int. Rev. Neurobiol., 2005, 63, 191-27010.1016/S0074-7742(05)63007-3Search in Google Scholar

[91] Panza F., Solfrizzi V., Barulli M.R., Bonfiglio C., Guerra V., Osella A., et al., Coffee, tea, and caffeine consumption and prevention of late-life cognitive decline and dementia: a systematic review, J. Nutr. Health Aging, 2015, 19, 313-32810.1007/s12603-014-0563-8Search in Google Scholar PubMed

[92] Solfrizzi V., Panza F., Imbimbo B.P., D’Introno A., Galluzzo L., Gandin C., et al., Coffee consumption habits and the risk of mild cognitive impairment: the Italian longitudinal study on aging, J. Alzheimers Dis., 2015, 47, 889-89910.3233/JAD-150333Search in Google Scholar PubMed

[93] Scholey A., Owen L., Effects of chocolate on cognitive function and mood: a systematic review, Nutr. Rev., 2013, 71, 665-68110.1111/nure.12065Search in Google Scholar PubMed

[94] Scholey A.B., French S.J., Morris P.J., Kennedy D.O., Milne A.L., Haskell C.F., Consumption of cocoa flavanols results in acute improvements in mood and cognitive performance during sustained mental effort, J. Psychopharmacol., 2010, 24, 1505-151410.1177/0269881109106923Search in Google Scholar PubMed

[95] Field D.T., Williams C.M., Butler L.T., Consumption of cocoa flavanols results in an acute improvement in visual and cognitive functions, Physiol. Behav., 2011, 103, 255-26010.1016/j.physbeh.2011.02.013Search in Google Scholar PubMed

[96] Watson A.W., Haskell-Ramsay C.F., Kennedy D.O., Cooney J.M., Trower T., Scheepens A., Acute supplementation with blackcurrant extracts modulates cognitive functioning and inhibits monoamine oxidase-B in healthy young adults, J. Funct. Foods, 2015, 17, 524-53910.1016/j.jff.2015.06.005Search in Google Scholar

[97] Bell L., Lamport D.J., Butler L.T., Williams C.M., A review of the cognitive effects observed in humans following acute supplementation with flavonoids, and their associated mechanisms of action, Nutrients, 2015, 7, 10290-1030610.3390/nu7125538Search in Google Scholar PubMed PubMed Central

[98] Fisher N.D., Sorond F.A., Hollenberg N.K., Cocoa flavanols and brain perfusion, J. Cardiovasc. Pharmacol., 2006, 47, Suppl. 2, S210-21410.1097/00005344-200606001-00017Search in Google Scholar

[99] Francis S.T., Head K., Morris P.G., Macdonald I.A., The effect of flavanol-rich cocoa on the fMRI response to a cognitive task in healthy young people, J. Cardiovasc. Pharmacol., 2006, 47, Suppl. 2, S215-22010.1097/00005344-200606001-00018Search in Google Scholar

[100] Scholey A.B., Harper S., Kennedy D.O., Cognitive demand and blood glucose, Physiol. Behav., 2001, 73, 585-59210.1016/S0031-9384(01)00476-0Search in Google Scholar

[101] Moss M.C., Scholey A.B., Wesnes K., Oxygen administration selectively enhances cognitive performance in healthy young adults: a placebo-controlled double-blind crossover study, Psychopharmacology, 1998, 138, 27-3310.1007/s002130050641Search in Google Scholar PubMed

[102] Lippelt D.P., Hommel B., Colzato L.S., Focused attention, open monitoring and loving kindness meditation: effects on attention, conflict monitoring, and creativity - A review, Front. Psychol., 2014, 5, 108310.3389/fpsyg.2014.01083Search in Google Scholar PubMed PubMed Central

[103] Lutz A., Slagter H.A., Dunne J.D., Davidson R.J., Attention regulation and monitoring in meditation, Trends Cogn. Sci., 2008, 12, 163-16910.1016/j.tics.2008.01.005Search in Google Scholar PubMed PubMed Central

[104] Chiesa A., Calati R., Serretti A., Does mindfulness training improve cognitive abilities? A systematic review of neuropsychological findings, Clin. Psychol. Rev., 2011, 31,449-46410.1016/j.cpr.2010.11.003Search in Google Scholar PubMed

[105] Newberg A.B., Serruya M., Wintering N., Moss A.S., Reibel D., Monti D.A., Meditation and neurodegenerative diseases, Ann. NY Acad. Sci., 2014, 1307, 112-12310.1111/nyas.12187Search in Google Scholar PubMed

[106] Birks J., Cholinesterase inhibitors for Alzheimer’s disease, Cochrane Database Syst. Rev., 2006, 1, CD00559310.1002/14651858.CD005593Search in Google Scholar PubMed PubMed Central

[107] Wild R., Pettit T., Burns A., Cholinesterase inhibitors for dementia with Lewy bodies, Cochrane Database Syst. Rev., 2003, 3, CD00367210.1002/14651858.CD003672Search in Google Scholar PubMed PubMed Central

[108] Birks J., Harvey R.J., Donepezil for dementia due to Alzheimer’s disease, Cochrane Database Syst. Rev., 2006, 1, CD00119010.1002/14651858.CD001190Search in Google Scholar PubMed

[109] Husain M., Mehta M.A., Cognitive enhancement by drugs in health and disease, Trends Cogn. Sci., 2011, 15, 28-3610.1016/j.tics.2010.11.002Search in Google Scholar PubMed PubMed Central

[110] Heal D.J., Smith S.L., Gosden J., Nutt D.J., Amphetamine, past and present - a pharmacological and clinical perspective, J. Psychopharmacol., 2013, 27, 479-49610.1177/0269881113482532Search in Google Scholar PubMed PubMed Central

[111] Barch D.M., Carter C.S., Amphetamine improves cognitive function in medicated individuals with schizophrenia and in healthy volunteers, Schizophr. Res., 2005, 77, 43-5810.1016/j.schres.2004.12.019Search in Google Scholar PubMed

[112] Mattay V.S., Callicott J.H., Bertolino A., Heaton I., Frank J.A., Coppola R., et al., Effects of dextroamphetamine on cognitive performance and cortical activation, Neuroimage, 2000, 12, 268-27510.1006/nimg.2000.0610Search in Google Scholar PubMed

[113] Zolkowska D., Jain R., Rothman R.B., Partilla J.A., Roth B.L., Setola V., et al., Evidence for the involvement of dopamine transporters in behavioral stimulant effects of modafinil, J. Pharmacol. Exp. Ther., 2009, 329, 738-74610.1124/jpet.108.146142Search in Google Scholar PubMed PubMed Central

[114] Madras B.K., Xie Z., Lin Z., Jassen A., Panas H., Lynch L., et al., Modafinil occupies dopamine and norepinephrine transporters in vivo and modulates the transporters and trace amine activity in vitro, J. Pharmacol. Exp. Ther., 2006, 319, 561-56910.1124/jpet.106.106583Search in Google Scholar PubMed

[115] Gerrard P., Malcolm R., Mechanisms of modafinil: a review of current research, Neuropsychiatr. Dis. Treat., 2007, 3, 349-364Search in Google Scholar

[116] Volkow N.D., Fowler J.S., Logan J., Alexoff D., Zhu W., Telang F., et al., Effects of modafinil on dopamine and dopamine transporters in the male human brain: clinical implications, JAMA, 2009, 301, 1148-115410.1001/jama.2009.351Search in Google Scholar PubMed PubMed Central

[117] Broughton R.J., Fleming J.A., George C.F., Hill J.D., Kryger M.H., Moldofsky H., et al., Randomized, double-blind, placebo-controlled crossover trial of modafinil in the treatment of excessive daytime sleepiness in narcolepsy, Neurology, 1997, 49, 444-45110.1212/WNL.49.2.444Search in Google Scholar PubMed

[118] Prado E., Paholpak P., Ngo M., Porter V., Apostolova L.G., Marrocos R., et al., Agitation and psychosis associated with dementia with lewy bodies exacerbated by modafinil use, Am. J. Alzheimers Dis. Other Demen., 2012, 27, 468-47310.1177/1533317512456450Search in Google Scholar PubMed PubMed Central

[119] Schabram I., Henkel K., Mohammadkhani Shali S., Dietrich C., Schmaljohann J., Winz O., et al., Acute and sustained effects of methylphenidate on cognition and presynaptic dopamine metabolism: an [18F]FDOPA PET study, J. Neurosci., 2014, 34, 14769-1477610.1523/JNEUROSCI.1560-14.2014Search in Google Scholar

[120] Volkow N.D., Wang G.J., Fowler J.S., Gatley S.J., Logan J., Ding Y.S., et al., Dopamine transporter occupancies in the human brain induced by therapeutic doses of oral methylphenidate, Am. J. Psychiatry, 1998, 155, 1325-133110.1176/ajp.155.10.1325Search in Google Scholar

[121] Linssen A.M., Sambeth A., Vuurman E.F., Riedel W.J., Cognitive effects of methylphenidate in healthy volunteers: a review of single dose studies, Int. J. Neuropsychopharmacol., 2014, 17, 961-97710.1017/S1461145713001594Search in Google Scholar

[122] Bymaster F.P., Katner J.S., Nelson D.L., Hemrick-Luecke S.K., Threlkeld P.G., Heiligenstein J.H., et al., Atomoxetine increases extracellular levels of norepinephrine and dopamine in prefrontal cortex of rat: a potential mechanism for efficacy in attention deficit/hyperactivity disorder, Neuropsychopharmacology, 2002, 27, 699-71110.1016/S0893-133X(02)00346-9Search in Google Scholar

[123] Swanson J., Baler R.D., Volkow N.D., Understanding the effects of stimulant medications on cognition in individuals with attention-deficit hyperactivity disorder: a decade of progress, Neuropsychopharmacology, 2011, 36, 207-22610.1038/npp.2010.160Search in Google Scholar

[124] Heil S.H., Holmes H.W., Bickel W.K., Higgins S.T., Badger G.J., Laws H.F., et al., Comparison of the subjective, physiological, and psychomotor effects of atomoxetine and methylphenidate in light drug users, Drug Alcohol Depend., 2002, 67, 149-15610.1016/S0376-8716(02)00053-4Search in Google Scholar

[125] Childress A.C., A critical appraisal of atomoxetine in the management of ADHD, Ther. Clin. Risk Manag., 2016, 12, 27-3910.2147/TCRM.S59270Search in Google Scholar PubMed PubMed Central

[126] Adler L., Tanaka Y., Williams D., Trzepacz P.T., Goto T., Allen A.J., et al., Executive function in adults with attention-deficit/hyperactivity disorder during treatment with atomoxetine in a randomized, placebo-controlled, withdrawal study, J. Clin. Psychopharmacol., 2014, 34, 461-46610.1097/JCP.0000000000000138Search in Google Scholar PubMed

[127] Ripley D.L., Morey C.E., Gerber D., Harrison-Felix C., Brenner L.A., Pretz C.R., et al., Atomoxetine for attention deficits following traumatic brain injury: results from a randomized controlled trial, Brain Inj., 2014, 28, 1514-152210.3109/02699052.2014.919530Search in Google Scholar PubMed

[128] Kelly D.L., Buchanan R.W., Boggs D.L., McMahon R.P., Dickinson D., Nelson M., et al., A randomized double-blind trial of atomoxetine for cognitive impairments in 32 people with schizophrenia, J. Clin. Psychiatry, 2009, 70, 518-52510.4088/JCP.08m04358Search in Google Scholar PubMed

[129] Beglinger L.J., Adams W.H., Paulson H., Fiedorowicz J.G., Langbehn D.R., Duff K., et al., Randomized controlled trial of atomoxetine for cognitive dysfunction in early Huntington disease, J. Clin. Psychopharmacol., 2009, 29, 484-48710.1097/JCP.0b013e3181b2ac0aSearch in Google Scholar PubMed PubMed Central

[130] De la Herrán-Arita A.K., García-García F., Current and emerging options for the drug treatment of narcolepsy, Drugs, 2013, 73, 1771-178110.1007/s40265-013-0127-ySearch in Google Scholar PubMed

[131] Lin J.S., Dauvilliers Y., Arnulf I., Bastuji H., Anaclet C., Parmentier R., et al., An inverse agonist of the histamine H3 receptor improves wakefulness in narcolepsy: studies in orexin-/- mice and patients, Neurobiol. Dis., 2008, 30, 74-8310.1016/j.nbd.2007.12.003Search in Google Scholar PubMed

[132] Schwartz J.C., The histamine H3 receptor: from discovery to clinical trials with pitolisant, Br. J. Pharmacol., 2011, 163, 713-72110.1111/j.1476-5381.2011.01286.xSearch in Google Scholar PubMed PubMed Central

[133] Grove R.A., Harrington C.M., Mahler A., Beresford I., Maruff P., Lowy M.T., et al., A randomized, double-blind, placebo-controlled, 16-week study of the H3 receptor antagonist, GSK239512 as a monotherapy in subjects with mild-to-moderate Alzheimer’s disease, Curr. Alzheimer Res., 2014, 11, 47-5810.2174/1567205010666131212110148Search in Google Scholar PubMed

[134] Haig G.M., Pritchett Y., Meier A., Othman A.A., Hall C., Gault L.M., et al., A randomized study of H3 antagonist ABT-288 in mild-to-moderate Alzheimer’s dementia, J. Alzheimers Dis., 2014, 42, 959-97110.3233/JAD-140291Search in Google Scholar PubMed

[135] Inocente C., Arnulf I., Bastuji H., Thibault-Stoll A., Raoux A., Reimão R., et al., Pitolisant, an inverse agonist of the histamine H3 receptor: an alternative stimulant for narcolepsy-cataplexy in teenagers with refractory sleepiness, Clin. Neuropharmacol., 2012, 35, 55-6010.1097/WNF.0b013e318246879dSearch in Google Scholar PubMed

[136] Benabid A.L., Deep brain stimulation for Parkinson’s disease, Curr. Opin. Neurobiol., 2003, 13, 696-70610.1016/B978-0-7506-5428-9.50012-3Search in Google Scholar

[137] Lozano A.M., Lipsman N., Probing and regulating dysfunctional circuits using deep brain stimulation, Neuron, 2013, 77, 406-42410.1016/j.neuron.2013.01.020Search in Google Scholar PubMed

[138] Bronstein J.M., Tagliati M., Alterman R.L., Lozano A.M., Volkmann J., Stefani A., et al., Deep brain stimulation for Parkinson disease: an expert consensus and review of key issues, Arch. Neurol., 2011, 68, 16510.1001/archneurol.2010.260Search in Google Scholar PubMed PubMed Central

[139] Odekerken V.J., van Laar T., Staal M.J., Mosch A., Hoffmann C.F., Nijssen P.C., et al., Subthalamic nucleus versus globus pallidus bilateral deep brain stimulation for advanced Parkinson’s disease (NSTAPS study): a randomised controlled trial, Lancet Neurol., 2013, 12, 37-4410.1016/S1474-4422(12)70264-8Search in Google Scholar

[140] Odekerken V.J., Boel J.A., Geurtsen G.J., Schmand B.A., Dekker I.P., de Haan R.J., et al., Neuropsychological outcome after deep brain stimulation for Parkinson disease, Neurology, 2015, 84, 1355-136110.1212/WNL.0000000000001419Search in Google Scholar PubMed

[141] Hartikainen K.M., Sun L., Polvivaara M., Brause M., Lehtimäki K., Haapasalo J., et al., Immediate effects of deep brain stimulation of anterior thalamic nuclei on executive functions and emotionattention interaction in humans, J. Clin. Exp. Neuropsychol., 2014, 36, 540-55010.1080/13803395.2014.913554Search in Google Scholar PubMed PubMed Central

[142] Hardenacke K., Shubina E., Bührle C.P., Zapf A., Lenartz D., Klosterkötter J., et al., Deep brain stimulation as a tool for improving cognitive functioning in Alzheimer’s dementia: a systematic review, Front. Psychiatry, 2013, 4, 15910.3389/fpsyt.2013.00159Search in Google Scholar PubMed PubMed Central

[143] Hamani C., McAndrews M.P., Cohn M., Oh M., Zumsteg D., Shapiro C.M., et al., Memory enhancement induced by hypothalamic/fornix deep brain stimulation, Ann. Neurol., 2008, 63, 119-12310.1002/ana.21295Search in Google Scholar PubMed

[144] Laxton A.W., Tang-Wai D.F., McAndrews M.P., Zumsteg D., Wennberg R., Keren R., et al., A phase I trial of deep brain stimulation of memory circuits in Alzheimer’s disease, Ann. Neurol., 2010, 68, 521-53410.1002/ana.22089Search in Google Scholar PubMed

[145] Freund H.J., Kuhn J., Lenartz D., Mai J.K., Schnell T., Klosterkötter J., et al., Cognitive functions in a patient with Parkinson-dementia syndrome undergoing deep brain stimulation, Arch. Neurol., 2009, 66, 781-78510.1001/archneurol.2009.102Search in Google Scholar PubMed

[146] Stefani A., Pierantozzi M., Ceravolo R., Brusa L., Galati S., Stanzione P., Deep brain stimulation of pedunculopontine tegmental nucleus (PPTg) promotes cognitive and metabolic changes: a target-specific effect or response to a low-frequency pattern of stimulation?, Clin. EEG Neurosci., 2010, 41, 82-8610.1177/155005941004100207Search in Google Scholar PubMed

[147] Luber B., Lisanby S.H., Enhancement of human cognitive performance using transcranial magnetic stimulation (TMS), Neuroimage, 2014, 85, 961-97010.1016/j.neuroimage.2013.06.007Search in Google Scholar PubMed PubMed Central

[148] Dombrowe I., Juravle G., Alavash M., Gieβing C., Hilgetag C.C., The effect of 10 Hz repetitive transcranial magnetic stimulation of posterior parietal cortex on visual attention, PLoS One, 2015, 10, e012680210.1371/journal.pone.0126802Search in Google Scholar PubMed PubMed Central

[149] Esterman M., Liu G., Okabe H., Reagan A., Thai M., DeGutis J., Frontal eye field involvement in sustaining visual attention: evidence from transcranial magnetic stimulation, Neuroimage, 2015, 111, 542-54810.1016/j.neuroimage.2015.01.044Search in Google Scholar PubMed

[150] Hodsoll J., Mevorach C., Humphreys G.W., Driven to less distraction: rTMS of the right parietal cortex reduces attentional capture in visual search, Cereb. Cortex, 2009, 19, 106-11410.1093/cercor/bhn070Search in Google Scholar PubMed

[151] Hayward G., Goodwin G.M., Harmer C.J., The role of the anterior cingulate cortex in the counting Stroop task, Exp. Brain Res., 2004, 154, 355-35810.1007/s00221-003-1665-4Search in Google Scholar PubMed

Received: 2016-04-20
Accepted: 2016-07-17
Published Online: 2016-10-22
Published in Print: 2016-01-01

© 2016 Kanchan Sharma et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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