Skip to main content

STUDY PROTOCOL article

Front. Neurol., 04 October 2022
Sec. Neurorehabilitation

Motor imagery and action-observation in neurorehabilitation: A study protocol in Parkinson's disease patients

\nBeatrice RizziBeatrice Rizzi1Christian NuresiChristian Nuresi2Claudio RovacchiClaudio Rovacchi1Massimo BacchiniMassimo Bacchini1Federica SaviFederica Savi1Lucia FalcoLucia Falco1Luca SchianchiLuca Schianchi1Augusto ScaglioniAugusto Scaglioni1Chiara CiracìChiara Ciracì1Cosimo CostantinoCosimo Costantino2Giovanni Buccino,
Giovanni Buccino3,4*
  • 1Department of Neuromotor Rehabilitation, Santa Maria ai Servi Center, Don Carlo Gnocchi Foundation ONLUS, Parma, Italy
  • 2Department of Medicine and Surgery, University of Parma, Parma, Italy
  • 3Division of Neuroscience, Università Vita-Salute San Raffaele, Milan, Italy
  • 4IRCCS San Raffaele, Milan, Italy

Introduction: Action Observation Treatment (AOT) and Motor Imagery (MI) represent very promising cognitive strategies in neuro-rehabilitation. This study aims to compare the effectiveness of the two cognitive strategies, taken alone or combined, in Parkinson's disease patients.

Material and methods: This study is designed as a prospective randomized controlled trial, with four arms. We estimated a sample size of 64 patients (16 in each treatment group) to be able to detect an effect size of F = 0.4 with a statistical significance of 0.05. Primary outcomes will be functional gains in the FIM and UPDRS scales. Secondary outcome measure will be functional gain as revealed by kinematic parameters measured at Gait Analysis.

Discussion: The results of this trial will provide insights into the use of AOT and MI, taken alone or combined, in the rehabilitation of Parkinson's disease patients.

Ethics and dissemination: The study protocol was approved by the Ethics Committee of the Don Gnocchi Foundation. The study will be conducted in accordance with the 1996 World Medical Association guidelines and according to good clinical practice. The study has been registered on clinicaltrial.gov under the following code: AOTPRFDG. Dissemination will include both submission of the study to peer-reviewed journals and discussion of the study protocol at conferences.

Introduction

There is increasing evidence in neuroscience of the existence of a mirror mechanism directly matching observed actions on the neural substrates sub-serving their execution (1, 2). It has been forwarded that this mechanism allows individuals to understand other people's actions on an experiential basis, because of the re-enactment of the motor representations also involved in the actual execution of the observed actions. At neural level this mechanism may be grounded on the existence of mirror neurons first described in monkey pre-motor cortex (3, 4). These neurons discharge during the execution of goal directed actions, as well as during the observation of those same actions or related ones. In more general terms, experimental evidence supports the notion that the neural substrates involved in action execution are recruited whenever actions are re-enacted, like for example in motor imagery or even during dreams with motor content (5). In recent times, it has been proposed an action re-enactment also during the processing of action related language, that is verbs typically describing an action (6, 7). The notion of action re-enactment, based on visual stimuli or on an internal mental rehearse of an action in the absence of overt movements, has recently inspired the use of the action-observation treatment and the motor imagery practice as neurocognitive rehabilitation strategies.

In action observation, patients are shown a video clip representing a goal-directed action (e.g., grasping an object). Subsequently, after observing this video, the patient is asked to repeat the action. So far, treatment with AOT has been shown to be effective in a variety of different pathologies such as ischemic stroke (both chronic and subacute; both on walking and upper limb function) (810), cerebral palsy (1113); Parkinson's disease (14, 15) and also in orthopedic patients with hip fractures (16).

Jeannerod defines motor imagery as the ability to “mentally rehearse simple or complex motor acts that are not accompanied by overt body movements” (17). From a cognitive point of view, it is a perceptive process that occurs in absence of external stimuli. Motor imagery was first studied in cognitive psychology and neuropsychology (18), then applied to sport (19, 20) in order to improve the physical performance of athletes and has recently been applied in rehabilitation medicine to improve the physical recovery of patients with neurological disabilities (2123). Motor imagery is associated with the activation of several cortical areas that are also involved in action observation and execution (2427). In particular, the areas that are activated by motor imagery are the ventral premotor cortex (PMv), inferior frontal gyrus (IFG), inferior parietal lobule (IPL), supramarginal gyrus (SMG), sensorimotor area (SMA), cerebellum and basal ganglia (28, 29).

Parkinson's disease is the second most common neurodegenerative disease. In the coming decades, the prevalence of the disease is expected to increase, partly due to the increasing average age of the population. This trend will consequently lead to an increase in the costs related to the medical and social management of the disease, most of which are attributable to the more advanced stages of the disease and directly related to disability, increased care burden and therapeutic complications (30, 31).

Recently, several studies have focused on the applicability of action observation treatment (15, 32) and motor imagery (33, 34) in the rehabilitation of patients with Parkinson's disease. While AOT appears to be effective in improving motor performance, the effectiveness of Motor Imagery is not yet well defined also due to the presence of contrasting data in the literature. This may also be linked to the fact that the subject's ability to imagine depends on many factors (one in particular is the anatomical integrity of the cortical structures connected to this ability), but also to the fact that this ability is poorly investigable (35) and recently a systematic review has emphasized that some areas also involved in Parkinson's disease, if affected, can reduce the capacity to imagine actions (36).

Based on those evidence, we came up with the concept of evaluating the effectiveness of these two cognitive strategies, motor imagery and action observation, in the rehabilitation of Parkinson's disease patients. Based on the ongoing debate and the evidence that action observation is more effective than motor imagery in learning a novel, complex motor task in healthy individuals (37), the first point we want to assess is whether Motor Imagery and action observation are similarly effective, when taken alone, in Parkinson's disease patients. Second, this study aims to assess whether the combination of the two is more effective than the individual treatments. In fact, recent evidence show that motor performance is improved when motor imagery is associated with synchronous action observation of the imagined actions (38).

Methods and analysis

Study design

The aim of the study is to evaluate the efficacy of action-observation (AOT) and motor imagery (MI) treatment on the improvement of function and motility in patients with Parkinson's disease with a disease stage II or III according to Hoehn and Yahr. The study was approved by the ethical committee of the IRCCS Don Gnocchi, Milan. The study has been registered to clinicaltrial.gov with the Study ID number: AOTPRFDG. All procedure will be conducted according to the World Medical Association (WMA - 1996) and, when applicable, according to the procedure recommended by the Italian Association of Psychology (AIP). Before starting the study, each patient will be asked for written and verbal informed consent. Motor and functional assessments will be performed at T0 (baseline assessment)–T1 (4 weeks later, at discharge) and T2 (2 months after discharge, as outpatients).

Study sample and inclusion/exclusion criteria

Patients will be selected from those referred to the intensive rehabilitation unit and Parkinson's service of Don Carlo Gnocchi Foundation, Santa Maria ai Servi Center, Parma. In this setting, patients, aged between 55 and 75 years and with a disease stage II or III according to Hoehn and Yahr, will be enrolled. Exclusion criteria will be the presence of aphasia (evaluated with the token test), hemispatial neglect (assessed with the line bisection test of the Behavioral Inattention Test battery), global cognitive impairment (assessed with the Mini Mental State examination—MMSE, score <24/30), motor apraxia (assessed with the De Renzi gesture imitation test), and major depression (assessed by the Beck Depression Inventory II).

Randomization

Each patient will then be associated with a randomly generated numerical code and randomly assigned to one of four groups: Motor Imagery + Conventional Treatment; AOT + Conventional Treatment, AOT + Motor Imagery + Conventional Treatment and Control Group + Conventional Treatment. The randomization will be carried out by an independent researcher who will be not involved further in the study.

Sample size

The sample size has been defined by the achievement of outcome measures. In this study, our outcome measures are an improvement in motor functions and kinematic parameters of patients suffering from Parkinson's disease, as revealed by means of functional scales (FIM, UPDRS) and gait analysis. In order to detect an effect size of F = 0.4 (medium to large effect size, according to Cohen, 1988) (39) with 80% power and 0.05 alpha in a mixed subjects design (4 groups and 3 time points), G*Power suggests that a total sample size of 64 participants (16 participants for each group) should be enrolled. We plan a sample size of N = 80 (N for each group = 20) that will be more than adequate to control for a potential participants' drop out. Furthermore, this sample size will be adequate to ensure that data can be interpreted separately, for each group.

Blinding

Patients in each group will be instructed in the specific task for that group. An experienced, blinded researcher will administer functional scales to enrolled subjects at T0, T1, and T2. Another experienced blinded operator will perform the gait analysis at T0, T1, and T2.

Treatment protocol

Enrolled patients will undergo a standard neurological and physiatric evaluation, a neuropsychological assessment, and gait analysis. Function and independence will be quantified with the FIM scale and UPDRS. In addition, a visual and kinesthetic imagination scale (MIQ-R) will be delivered to each patient enrolled. The patients then will undergo a 4-week inpatient treatment (excluding weekends), at the end of which the functional assessment (FIM scale and UPRDS) as well Gait Analysis will be repeated. The euro Quality of Live (eQoL) questionnaire will be administered to each subject on admission and at discharge. During hospitalization, at a fixed day time, the patient will undergo a conventional rehabilitation treatment administered by a physiotherapist different from the one involved in the study. All treatments will be carried out in ON phase patients. Study protocol is summarized in Figure 1. In the follow-up evaluation at T2 participants will be assessed as outpatients.

FIGURE 1
www.frontiersin.org

Figure 1. Flow chart of the study protocol.

Conventional treatment

Conventional treatment will consist of 10 min of active kinesis with limb and trunk mobilization exercises; 5 min of ischio-crural, adductor, hip flexor and plantar flexor foot muscles stretching; 10 min of postural spine extension exercises; 5 min of gait training to improve gait phases and dynamic balance and 5 min of coordination exercises.

Action-observation treatment

Patient will undergo AOT according to the procedure described in a comprehensive review in the field (40). During a typical AOT rehabilitation session, patients train one single daily life action. Actions to be trained are chosen among those most frequently carried out in everyday life. An AOT rehabilitation session consists of an observation phase and an execution phase. During the observation phase, the patient sits in front of a computer screen and has to observe a videoclip, showing the execution of a specific action. The presented action can be divided into four motor acts, each lasting 3 min, for a total of 12 min. Motor acts are defined as the different action segments into which the action can be divided. For example, washing one's hands can be divided into the following motor acts: (I) applying soap on wet hands; (II) scrubbing hands for a few seconds; (III) rinsing hands under running water; (IV) drying them with a towel. Each motor act is performed by both an actor and an actress and is presented from different perspectives in order to catch the attention of the patient. After observing a single motor act, the patient moves to the action execution phase where he/she is required to perform the same action, at the best of his/her abilities, for 2 min. Every object present in the video clip is provided at hand to the patient during this phase. Indeed, it is well known that objects can recruit the motor representation of an action, thus further enhancing the re-organization of the motor system (4143).

Motor imagery

The proposed motor imagery activity will be carried out by showing the same videos used in AOT. In this group each video will be shown to the patient just for a few seconds. Following this short observation period, the patient will be asked to imagine himself/herself performing the observed action for 3 min (the same time devoted to observation in the AOT group). Following the imagery task the patient will be asked to reproduce the imagined action for 2 min as patient in the AOT group. Every now and then, the physiotherapist will monitor the imagery activity by asking the patient at what time point of the action he/she is.

Action observation treatment + motor imagery

This group will undergo AOT as already described. After observing each motor act, patients in this group will be asked to imagine the observed model for 3 min in first person perspective (as if he/she should be performing the seen motor act). At the end of the motor imagery, patients in this group will be asked to perform the observed and imagined motor sequence at the best of their ability for 2 min. As usual, the physiotherapist will help patients to pay attention to the task and sustain their motivation.

Control treatment

For the control group, twenty videos will be prepared representing situations with no specific motor content. Also in this case videos will consist of 43-min parts with a total duration of 12 min. The patient will be asked to watch the videos. After observing this motorically neutral videoclips, the patients will be requested verbally to perform one of the motor activities actually executed by patients enrolled in the AOT or MI groups. In other words, the execution phase in this group will overlap that of patients in the other study groups. In this manner patients in this group will spend the same amount of time in the observation phase, as well as in the execution phase, as patients in the study groups.

Pre-clinical and clinical evaluation

The Clinical evaluation of patients will take place in the intensive rehabilitation department of the Don Carlo Gnocchi Foundation, Santa Maria ai Servi Center, Parma.

Demographic and clinical characteristics

The patients will be classified according to Hoehn and Yahr scale. This classification allows the degree of disability to be assessed on a scale of I to V. Patients classified from stage I to stage III are defined as mildly disabled, while those in stage IV or V are defined as severely disabled (44). The HY scale is widely used in clinical settings to classify the level of disability of Parkinson's patients because it is simple, easily applicable and reliable. It also has a good correlation with the UPDRS scale (45). The anagraphic (age and sex) and clinical characteristics of the subjects will be assessed at T0 (baseline) in all groups to evaluate their homogeneity.

Cognitive and neuropsychological assessment tools

Token test

Token test is the most widely used clinical tool to assess the presence of aphasia. It consists of 36 items in which the patient is required to understand orders of increasing complexity. It has a good test-retest reliability (46) and intra-rater reliability while the inter-rater one is good although not in all its parts (47).

Line bisection test of BIT battery

The Line bisection test allows to assess the presence of neglect. It is performed by presenting the partecipant with a series of horizontal lines and asking him/her to bisect them in the center. If the patient has neglect, he/she will fail to dissect them in the midline. Together with other tests, line bisection is included in the Behavioral Inattention Test (48). It is an easy test to administer and does not require any specific materials.

Mini-mental state examination

The MMSE test is a practical, well spread, questionnaire including 11 items that aims to evaluate cognitive functions. It has a high sensitivity, a moderate-to-high level of reliability, validity and excellent reliability at test-retest. Indeed it is not completely reliable in assessing mild cognitive impairments (49, 50).

De Renzi imitation gesture test

It is a test that can be easily administered and that allows with a certain sensitivity to recognize if the patient has ideomotor apraxia (51).

Beck depression inventory II

The BDI I-II is a valuable tool to detect if the subject is suffering from depression. It is a self-evaluation test and has good internal validity and good test-retest reliability (52).

Outcome measures

Primary outcome measures will be score changes in two functional scales: FIM and UPDRS. Secondary outcome measures will be changes in kinematic parameters as revealed by gait analysis.

Unified Parkinson's disease rating scale (UPDRS)

The scale is divided into four macro-areas: 1. mental activities, behavior and mood; 2. activities of daily living; 3. motor assessment; and 4. complications. One of the main advantages of the UPDRS scale is that it provides a global assessment of the patient with Parkinson's disease, including both motor and non-motor aspects and any complications related to treatment. Other advantages of using this scale are its ease of use and speed of administration (53). It has also demonstrated excellent internal reliability (54), inter-rater validity (55), and good test-retest validity (56). From previous studies it seems that AOT has a significant impact on the functional recovery of PD patients (15).

Functional independence measure

The FIM scale is widely used in rehabilitation settings to assess the level of assistance a patient needs in performing daily living activities. It includes 18 items with scores ranging from 1 to 7. The items are grouped into six areas, each with a specific competence: 1. self care; 2. sphincter control; 3. mobility; 4. locomotion; 5. communication; 6. social cognition. The maximum score is 126 and represents the total independence of the subject. The minimum score is 18 and represents the subject's total dependence in all activities of daily living (57, 58). It has good inter-rater reliability, although trained personnel are needed to administer it properly (59).

Gait analysis

In addition to the two above-mentioned outcomes, in our study we will use gait analysis to assess kinematic parameters following the treatment. The Optoelectronic Motion Analysis System EL.I.TE (BTS, Milan, Italy) will be used for this evaluation (6062).

Data management

To ensure the anonymity of the participants enrolled in the study, each patient will be assigned an identification code. A list of identification codes will be then generated and stored separately. All descriptive data will be collected and stored on data files in protected computer networks.

Statistical analysis

The statistical analysis of the data will be carried out by a statistician using the R software.

Given the design of the protocol (4 Groups X 3 Time-points), a mixed between-within ANOVA model with Greenhouse-Geisser correction will be used as a statistical test for this purpose. Statistical significance will be set at 0.05 to reject the null hypothesis.

Discussion

AOT and MI are two cognitive strategies useful in neuro-rehabilitation. In the literature, there are only preliminary evidence in favor of their effectiveness in the motor recovery of patients with Parkinson's disease. However, there is still little evidence as to which of the two strategies is best for this purpose or whether, combining the two, the benefits for patients can be maximized. In healthy participants by comparing these two strategies, it has been found that Action-Observation is more effective than MI in improving the learning of complex novel motor tasks (37). This greater effectiveness may derive from various factors, one of which may be linked to the method itself. While during observation the motor task shown is contextualized and performed “correctly”, in motor imagery the effectiveness depends, in part, also on the participant's ability to re-enact that specific action in a proper manner. When applying these strategies in neuro-rehabilitation it's worth stressing that during action observation, at difference with motor imagery, the clinician has greater control over the attention, motivation and correct execution of the task by the participant throughout the treatment. We expect that this study will bring further evidence in understanding which of the two strategies is more effective in the rehabilitation of Parkinson's Disease patients and whether combination of the two methods may be more effective than the single ones.

Another aspect we would like to address concerns the effectiveness of these cognitive strategies at long term follow up as compared to conventional rehabilitation treatment. We know that rehabilitation treatment is certainly beneficial in this type of patients, but this benefit is often described in the literature as short-termed (63). The possibility of pursuing rehabilitation in a different setting from a conventional one (e.g., at hospital and/or in a rehabilitation center) is therefore of primary importance to ensure and maintain good functionality and this represents a strength of cognitive strategies, like AOT and MI, since they can be easily repeated over time and applied in different contexts. Indeed, there is some preliminary evidence for the efficacy of AOT in telerehabilitation (64, 65). Moreover, by means of AOT and possibly of motor imagery, all actions can be trained and during the training observed and imagined actions can be tailored to the needs of patients to improve the functionality and motility of any body district (upper limbs, lower limbs, trunk and mouth) (40).

In recent years, the concept of Health Literacy (HL) has developed greatly. HL is defined by the WHO as “The cognitive and social skills which determine the motivation and ability of individuals to gain access to understand and use information in ways which promote and maintain good health” (66, 67) and represents a fundamental theme on which different health care models around the world are focusing to cope with an increasing demand for access to care by the world's population. We believe that cognitive strategies like AOT and motor imagery fit perfectly into this framework, representing a powerful treatment tool in the hands of the patient, making him/her an actor of his health with considerable benefit for himself/herself and cost reduction for the global health system.

Lastly, we hope that this work will stimulate debate on this topic, enabling the development of increasingly specific protocols tailored to the patient's functional needs.

Ethics statement

The studies involving human participants were reviewed and approved by IRCCS Don Gnocchi, Milan. The patients/participants provided their written informed consent to participate in this study.

Author contributions

GB conceived the study and revised the manuscript. BR, CN, MB, CR, FS, LS, LF, AS, CCi, and CCo wrote specific parts of the first draft of the manuscript and revised it. All authors contributed to the article and approved the submitted version.

Funding

This study was funded by the Cariparma Foundation, Parma.

Acknowledgments

We are grateful to Dr. Lorenzo Brambilla for his administrative support in all phases of the study.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Buccino G, Binkofski F, Riggio L. The mirror neuron system and action recognition. Brain Lang. (2004) 89:370–6. doi: 10.1016/S0093-934X(03)00356-0

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Rizzolatti G, Craighero L. The mirror-neuron system. Annu Rev Neurosci. (2004) 27:169–92. doi: 10.1146/annurev.neuro.27.070203.144230

PubMed Abstract | CrossRef Full Text | Google Scholar

3. di Pellegrino G, Fadiga L, Fogassi L, Gallese V, Rizzolatti G. Understanding motor events: a neurophysiological study. Exp Brain Res. (1992) 91:176–80. doi: 10.1007/BF00230027

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Gallese V, Fadiga L, Fogassi L, Rizzolatti G. Action recognition in the premotor cortex. Brain. (1996) 119:593–609. doi: 10.1093/brain/119.2.593

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Jeannerod M. Neural simulation of action: a unifying mechanism for motor cognition. Neuroimage. (2001) 14:S103–9. doi: 10.1006/nimg.2001.0832

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Garofalo G, Magliocco F, Silipo F, Riggio L, Buccino G. What matters is the underlying experience: Similar motor responses during processing observed hand actions and hand-related verbs. J Neuropsychol. (2022) 16:389–406. doi: 10.1111/jnp.12270

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Buccino G, Colagè I, Gobbi N, Bonaccorso G. Grounding meaning in experience: a broad perspective on embodied language. Neurosci Biobehav Rev. (2016) 69:69–78. doi: 10.1016/j.neubiorev.2016.07.033

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Ertelt D, Small S, Solodkin A, Dettmers C, McNamara A, Binkofski F, et al. Action observation has a positive impact on rehabilitation of motor deficits after stroke. Neuroimage. (2007) 36:T164–73. doi: 10.1016/j.neuroimage.2007.03.043

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Hioka A, Tada Y, Kitazato K, Akazawa N, Takagi Y, Nagahiro S. Action observation treatment improves gait ability in subacute to convalescent stroke patients. J Clin Neurosci. (2020) 75:55–61. doi: 10.1016/j.jocn.2020.03.031

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Zhang B, Kan L, Dong A, Zhang J, Bai Z, Xie Y, et al. The effects of action observation training on improving upper limb motor functions in people with stroke: a systematic review and meta-analysis. PLoS ONE. (2019) 14:e0221166. doi: 10.1371/journal.pone.0221166

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Buccino G, Arisi D, Gough P, Aprile D, Ferri C, Serotti L, et al. Improving upper limb motor functions through action observation treatment: a pilot study in children with cerebral palsy. Dev Med Child Neurol. (2012) 54:822–8. doi: 10.1111/j.1469-8749.2012.04334.x

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Sgandurra G, Ferrari A, Cossu G, Guzzetta A, Fogassi L, Cioni G. Randomized trial of observation and execution of upper extremity actions vs. action alone in children with unilateral cerebral palsy. Neurorehabil Neural Repair. (2013) 27:808–15. doi: 10.1177/1545968313497101

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Buccino G, Molinaro A, Ambrosi C, Arisi D, Mascaro L, Pinardi C, et al. Action observation treatment improves upper limb motor functions in children with cerebral palsy: a combined clinical and brain imaging study. Neural Plast. (2018) 2018:4843985. doi: 10.1155/2018/4843985

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Pelosin E, Barella R, Bet C, Magioncalda E, Putzolu M, Di Biasio F, et al. Effect of group-based rehabilitation combining action observation with physiotherapy on freezing of gait in Parkinson's disease. Neural Plast. (2018) 2018:4897276. doi: 10.1155/2018/4897276

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Buccino G, Gatti R, Giusti MC, Negrotti A, Rossi A, Calzetti S, et al. Action observation treatment improves autonomy in daily activities in Parkinson's disease patients: results from a pilot study. Mov Disord. (2011) 26:1963–4. doi: 10.1002/mds.23745

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Bellelli G, Buccino G, Bernardini B, Padovani A, Trabucchi M. Action observation treatment improves recovery of postsurgical orthopedic patients: evidence for a top-down effect? Arch Phys Med Rehabil. (2010) 91:1489–94. doi: 10.1016/j.apmr.2010.07.013

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Jeannerod M. The representing brain: Neural correlates of motor intention and imagery. Behav Brain Sci. (1994) 17:187–245. doi: 10.1017/S0140525X00034026

CrossRef Full Text | Google Scholar

18. Annett J. Motor imagery: perception or action? Neuropsychologia. (1995) 33:1395–417. doi: 10.1016/0028-3932(95)00072-B

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Ungerleider S, Golding JM. Mental practice among olympic athletes. Percept Mot Skills. (1991) 72:1007–17. doi: 10.2466/pms.1991.72.3.1007

CrossRef Full Text | Google Scholar

20. Holmes P, Calmels C, A. neuroscientific review of imagery and observation use in sport. J Mot Behav. (2008) 40:433–45. doi: 10.3200/JMBR.40.5.433-445

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Zimmermann-Schlatter A, Schuster C, Puhan MA, Siekierka E, Steurer J. Efficacy of motor imagery in post-stroke rehabilitation: a systematic review. J Neuroeng Rehabil. (2008) 5:8. doi: 10.1186/1743-0003-5-8

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Gil-Bermejo-Bernardez-Zerpa A, Moral-Munoz JA, Lucena-Anton D, Luque-Moreno C. Effectiveness of motor imagery on motor recovery in patients with multiple sclerosis: systematic review. Int J Environ Res Public Health. (2021) 18:498. doi: 10.3390/ijerph18020498

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Cuomo G, Maglianella V, Ghanbari Ghooshchy S, Zoccolotti P, Martelli M, Paolucci S, et al. Motor imagery and gait control in Parkinson's disease: techniques and new perspectives in neurorehabilitation. Expert Rev Neurother. (2022) 22:43–51. doi: 10.1080/14737175.2022.2018301

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Gerardin E, Sirigu A, Lehéricy S, Poline JB, Gaymard B, Marsault C, et al. Partially overlapping neural networks for real and imagined hand movements. Cereb Cortex. (2000) 10:1093–104. doi: 10.1093/cercor/10.11.1093

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Hanakawa T, Immisch I, Toma K, Dimyan MA, Van Gelderen P, Hallett M. Functional properties of brain areas associated with motor execution and imagery. J Neurophysiol. (2003) 89:989–1002. doi: 10.1152/jn.00132.2002

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Lui F, Buccino G, Duzzi D, Benuzzi F, Crisi G, Baraldi P, et al. Neural substrates for observing and imagining non-object-directed actions. Soc Neurosci. (2008) 3:261–75. doi: 10.1080/17470910701458551

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Decety J, Perani D, Jeannerod M, Bettinardi V, Tadary B, Woods R, et al. Mapping motor representations with positron emission tomography. Nature. (1994) 371:600–2. doi: 10.1038/371600a0

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Solodkin A, Hlustik P, Chen EE, Small SL. Fine modulation in network activation during motor execution and motor imagery. Cereb Cortex. (2004) 14:1246–55. doi: 10.1093/cercor/bhh086

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Hardwick RM, Caspers S, Eickhoff SB, Swinnen SP. Neural correlates of action: comparing meta-analyses of imagery, observation, and execution. Neurosci Biobehav Rev. (2018) 94:31–44. doi: 10.1016/j.neubiorev.2018.08.003

PubMed Abstract | CrossRef Full Text | Google Scholar

30. GBD 2016 Neurology Collaborators. Global, regional, and national burden of neurological disorders, 1990–2016: a systematic analysis for the global burden of disease study 2016. Lancet Neurol. (2019) 18:459–80.

Google Scholar

31. Wanneveich M, Moisan F, Jacqmin-Gadda H, Elbaz A, Joly P. Projections of prevalence, lifetime risk, and life expectancy of Parkinson's disease (2010–2030) in France. Mov Disord. (2018) 33:1449–55. doi: 10.1002/mds.27447

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Abbruzzese G, Avanzino L, Marchese R, Pelosin E. Action observation and motor imagery: innovative cognitive tools in the rehabilitation of Parkinson's disease. Parkinsons Dis. (2015) 2015:124214. doi: 10.1155/2015/124214

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Tamir R, Dickstein R, Huberman M. Integration of motor imagery and physical practice in group treatment applied to subjects with Parkinson's disease. Neurorehabil Neural Repair. (2007) 21:68–75. doi: 10.1177/1545968306292608

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Myers PS, McNeely ME, Pickett KA, Duncan RP, Earhart GM. Effects of exercise on gait and motor imagery in people with Parkinson disease and freezing of gait. Parkinsonism Relat Disord. (2018) 53:89–95. doi: 10.1016/j.parkreldis.2018.05.006

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Alegre M, Rodríguez-Oroz MC, Valencia M, Pérez-Alcázar M, Guridi J, Iriarte J, et al. Changes in subthalamic activity during movement observation in Parkinson's disease: is the mirror system mirrored in the basal ganglia? Clin Neurophysiol. (2010) 121:414–25. doi: 10.1016/j.clinph.2009.11.013

PubMed Abstract | CrossRef Full Text | Google Scholar

36. McInnes K, Friesen C, Boe S. Specific brain lesions impair explicit motor imagery ability: a systematic review of the evidence. Arch Phys Med Rehabil. (2016) 97:478–89.e1. doi: 10.1016/j.apmr.2015.07.012

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Gatti R, Tettamanti A, Gough PM, Riboldi E, Marinoni L, Buccino G. Action observation vs. motor imagery in learning a complex motor task: a short review of literature and a kinematics study. Neurosci Lett. (2013) 540:37–42. doi: 10.1016/j.neulet.2012.11.039

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Eaves D, Hodges N, Buckingham G, Buccino G, Vogt S. Enhancing motor imagery practice using synchronous action observation. Psychol Res. (in press).

Google Scholar

39. Cohen J. Statistical Power Analysis for the Behavioral Sciences (2nd ed). Hillsdale, MI: Lawrence Erlbaum Associates (1988).

Google Scholar

40. Buccino G. Action observation treatment: a novel tool in neurorehabilitation. Philos Trans R Soc Lond B Biol Sci. (2014) 369:20130185. doi: 10.1098/rstb.2013.0185

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Gibson JJ. The theory of affordances. In:Robert E Shaw J.B., , editor. Perceiving, Acting, and Knowing: Toward an Ecological Psychology. Hillsdale, MI, USA: Lawrence Erlbaum Associates (1977). p. 67–82.

Google Scholar

42. Grafton ST, Fadiga L, Arbib MA, Rizzolatti G. Premotor cortex activation during observation and naming of familiar tools. Neuroimage. (1997) 6:231–6. doi: 10.1006/nimg.1997.0293

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Grèzes J, Tucker M, Armony J, Ellis R, Passingham RE. Objects automatically potentiate action: An fMRI study of implicit processing. Eur J Neurosci. (2003) 17:2735–40. doi: 10.1046/j.1460-9568.2003.02695.x

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Hoehn MM, Yahr MD. Parkinsonism: onset, progression and mortality. Neurology. (1967) 17:427–42. doi: 10.1212/WNL.17.5.427

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Skorvanek M., et al. Differences in MDS-UPDRS scores based on hoehn and yahr stage and disease duration. Mov Disord Clin Pract. (2017) 4:536–44. doi: 10.1002/mdc3.12476

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Gallaher AJ. Temporal reliability of aphasic performance on the token test. Brain Lang. (1979) 7:34–41. doi: 10.1016/0093-934X(79)90004-X

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Paci M, Lorenzini C, Fioravanti E, Poli C, Lombardi B. Reliability of the 36-item version of the Token Test in patients with poststroke aphasia. Top Stroke Rehabil. (2015) 22:374–6. doi: 10.1179/1074935714Z.0000000049

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Wilson B, Cockburn J, Halligan P. Development of a behavioral test of visuospatial neglect. Arch Phys Med Rehabil. (1987) 68:98–102.

PubMed Abstract | Google Scholar

49. Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. (1975) 12:189–98. doi: 10.1016/0022-3956(75)90026-6

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Tombaugh TN, McIntyre NJ. The mini-mental state examination: a comprehensive review. J Am Geriatr Soc. (1992) 40:922–35. doi: 10.1111/j.1532-5415.1992.tb01992.x

PubMed Abstract | CrossRef Full Text | Google Scholar

51. De Renzi E, Motti F, Nichelli P. Imitating gestures. A quantitative approach to ideomotor apraxia. Arch Neurol. (1980) 37:6–10. doi: 10.1001/archneur.1980.00500500036003

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Wang YP, Gorenstein C. Psychometric properties of the beck depression inventory-II: a comprehensive review. Braz J Psychiatry. (2013) 35:416–31. doi: 10.1590/1516-4446-2012-1048

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Movement Disorder Society Task Force on Rating Scales for Parkinson's Disease. The Unified Parkinson's Disease Rating Scale (UPDRS): status and recommendations. Mov Disord. (2003) 18:738–50. doi: 10.1002/mds.10473

PubMed Abstract | CrossRef Full Text | Google Scholar

54. van Hilten JJ, van der Zwan AD, Zwinderman AH, Roos RA. Rating impairment and disability in Parkinson's disease: evaluation of the Unified Parkinson's Disease Rating Scale. Mov Disord. (1994) 9:84–8. doi: 10.1002/mds.870090113

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Martínez-Martín P, Gil-Nagel A, Gracia LM, Gómez JB, Martínez-Sarriés J, Bermejo F. Unified Parkinson's Disease Rating Scale characteristics and structure. The cooperative multicentric group. Mov Disord. (1994) 9:76–83. doi: 10.1002/mds.870090112

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Siderowf A, McDermott M, Kieburtz K, Blindauer K, Plumb S, Shoulson I. Parkinson Study Group. Test-retest reliability of the unified Parkinson's disease rating scale in patients with early Parkinson's disease: results from a multicenter clinical trial. Mov Disord. (2002) 17:758–63. doi: 10.1002/mds.10011

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Keith RA, Granger CV, Hamilton BB, Sherwin FS. The functional independence measure: a new tool for rehabilitation. Adv Clin Rehabil. (1987) 1:6–18.

PubMed Abstract | Google Scholar

58. Linacre JM, Heinemann AW, Wright BD, Granger CV, Hamilton BB. The structure and stability of the functional independence measure. Arch Phys Med Rehabil. (1994) 75:127–32. doi: 10.1016/0003-9993(94)90384-0

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Ottenbacher KJ, Mann WC, Granger CV, Tomita M, Hurren D, Charvat B. Inter-rater agreement and stability of functional assessment in the community-based elderly. Arch Phys Med Rehabil. (1994) 75:1297–301. doi: 10.1016/0003-9993(94)90276-3

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Mirelman A, Bonato P, Camicioli R, Ellis TD, Giladi N, Hamilton JL, et al. Gait impairments in Parkinson's disease. Lancet Neurol. (2019) 18:697–708. doi: 10.1016/S1474-4422(19)30044-4

PubMed Abstract | CrossRef Full Text | Google Scholar

61. di Biase L, Di Santo A, Caminiti ML, De Liso A, Shah SA, Ricci L, et al. Gait analysis in Parkinson's disease: an overview of the most accurate markers for diagnosis and symptoms monitoring. Sensors. (2020) 20:3529. doi: 10.3390/s20123529

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Yang YR, Lee YY, Cheng SJ, Lin PY, Wang RY. Relationships between gait and dynamic balance in early Parkinson's disease. Gait Posture. (2008) 27:611–5. doi: 10.1016/j.gaitpost.2007.08.003

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Kwakkel G, de Goede CJ, van Wegen EE. Impact of physical therapy for Parkinson's disease: a critical review of the literature. Parkinsonism Relat Disord. (2007) 13:S478–87. doi: 10.1016/S1353-8020(08)70053-1

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Molinaro A, Micheletti S, Pagani F, Garofalo G, Galli J, Rossi A, et al. Action observation treatment in a tele-rehabilitation setting: a pilot study in children with cerebral palsy. Disabil Rehabil. (2020) 17:1–6.

PubMed Abstract | Google Scholar

65. Beani E, Menici V, Ferrari A, Cioni G, Sgandurra G. Feasibility of a home-based action observation training for children with unilateral cerebral palsy: an explorative study. Front Neurol. (2020) 11:16. doi: 10.3389/fneur.2020.00016

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Nutbeam D. Health promotion glossary. Health Promotion Int. (1998) 13:349–64. doi: 10.1093/heapro/13.4.349

CrossRef Full Text | Google Scholar

67. Sørensen K, Van den Broucke S, Fullam J, Doyle G, Pelikan J, Slonska Z, et al. (HLS-EU) consortium health literacy project European. Health literacy and public health: a systematic review and integration of definitions and models. BMC Public Health. (2012) 12:80. doi: 10.1186/1471-2458-12-80

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: action observation, motor imagery, neurorehabilitation, Parkinson's disease, study protocol

Citation: Rizzi B, Nuresi C, Rovacchi C, Bacchini M, Savi F, Falco L, Schianchi L, Scaglioni A, Ciracì C, Costantino C and Buccino G (2022) Motor imagery and action-observation in neurorehabilitation: A study protocol in Parkinson's disease patients. Front. Neurol. 13:990618. doi: 10.3389/fneur.2022.990618

Received: 10 July 2022; Accepted: 15 September 2022;
Published: 04 October 2022.

Edited by:

Giovanni Abbruzzese, University of Genoa, Italy

Reviewed by:

Chesney Elizabeth Craig, Manchester Metropolitan University, United Kingdom
Elisa Pelosin, University of Genoa, Italy

Copyright © 2022 Rizzi, Nuresi, Rovacchi, Bacchini, Savi, Falco, Schianchi, Scaglioni, Ciracì, Costantino and Buccino. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Giovanni Buccino, buccino.giovanni@hsr.it

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.