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Binaural beats to entrain the brain? A systematic review of the effects of binaural beat stimulation on brain oscillatory activity, and the implications for psychological research and intervention

Abstract

Binaural beats are an auditory phenomenon that occurs when two tones of different frequencies, which are presented separately to each ear, elicit the sensation of a third tone oscillating at the difference frequency of the two tones. Binaural beats can be perceived in the frequency range of about 1–30 Hz, a range that coincides with the main human EEG frequency bands. The brainwave entrainment hypothesis, which assumes that external stimulation at a certain frequency leads to the brain’s electrocortical activity oscillating at the same frequency, provides the basis for research on the effects of binaural beat stimulation on cognitive and affective states. Studies, particularly in more applied fields, usually refer to neuroscientific research demonstrating that binaural beats elicit systematic changes in EEG parameters. At first glance, however, the available literature on brainwave entrainment effects due to binaural beat stimulation appears to be inconclusive at best. The aim of the present systematic review is, thus, to synthesize existing empirical research. A sample of fourteen published studies met our criteria for inclusion. The results corroborate the impression of an overall inconsistency of empirical outcomes, with five studies reporting results in line with the brainwave entrainment hypothesis, eight studies reporting contradictory, and one mixed results. What is to be noticed is that the fourteen studies included in this review were very heterogeneous regarding the implementation of the binaural beats, the experimental designs, and the EEG parameters and analyses. The methodological heterogeneity in this field of study ultimately limits the comparability of research outcomes. The results of the present systematic review emphasize the need for standardization in study approaches so as to allow for reliable insight into brainwave entrainment effects in the future.

Introduction

When people are presented with two acoustic signals of slightly different frequencies separately to each ear, the percept of a third tone oscillating at the difference of the two frequencies arises. The percept of this third tone is described as being located in the head, or between the ears. This psychoacoustic phenomenon is called the binaural beat [1]. When, for example, a tone with a frequency of 400 Hz is presented to the right ear and a second tone with a frequency of 420 Hz is presented to the left ear simultaneously, a binaural beat of 20 Hz will occur. The illusory nature of the binaural beat, a perceptual phenomenon that has no manifest external source, makes it of interest for research on sound perception and acoustic processing [2].

There are, however, a number of constraints to the perception of binaural beats. First, an early study by Licklider et al. [3] demonstrated that the two presented frequencies must be of a maximum of 1000 Hz to elicit a binaural beat. This is due to the fact that the human auditory pathway can only encode sound waves with frequencies up to 1 kHz [4]. Second, binaural beats seem to be best perceived at carrier frequencies—i.e. the frequencies of the two presented tones–of around 400 Hz [5]. Third, Perrott and Nelson [6] demonstrated that the maximum difference for the two tones must be around 30 Hz. Beyond frequency differences of 30 Hz, the two tones are perceived separately instead of eliciting the percept of a binaural beat. This threshold seems to vary depending on the stimulation technique, though [7].

The study by Licklider et al. [3] was the first to characterize the percept of the binaural beat depending on frequency differences in more detail. Up to 20 Hz, the binaural beat is described as a tone fluctuating in loudness, while frequency differences larger than 20 Hz elicit a rough sound. Below a difference of 3 Hz, the binaural beat is perceived as a rotating tone—a sound that appears to rotate in the head from ear to ear [8]. These thresholds are approximate and assumed to vary interindividually [2]. Furthermore, Schwarz and Taylor [4] found that participants can control the perception of binaural beats to a certain degree by focusing either on the two presented tones separately, or on the binaural beat percept instead. Differences between individuals in the ability to perceive binaural beats were also suggested [9].

Binaural beats are, as mentioned in the beginning, an illusory phenomenon, which means that its perceptual basis is not the interference of two sound waves, but a result of their combined neural activity elicited in the auditory pathway [10]. The superior olivary complex (SOC), the first locus of the auditory pathway to receive input from both ears and an important structure for sound integration [11], has been identified as the main neuroanatomical structure involved in binaural beat perception [12, 13]. The SOC is functionally implicated in the localization of sound in space. In addition to the processing of differences in loudness, sound localization is based on the identification of phase differences between the signals perceived by both ears [14]. Phase differences typically occur when the incoming sound signal is not fully centered but more lateralized toward one ear. The capacity of the SOC to process phase differences is essential for the binaural beat percept. For binaural beat stimulation, the tones are typically presented via headphones to guarantee that exposure to each of the two frequencies is restricted to one ear only [15]. This technique rules out the integration of external sounds, and, thus, allows for an interpretation of perceived frequency differences as phase differences [7].

A second type of auditory stimulation which is related to binaural beats, are monaural beats [16]. Beats are referred to as monaural when they are elicited by two tones of different frequencies presented to one ear only. So, in the case of monaural beats the actual interference of the sound waves is responsible for the beat percept, which makes it a phenomenon on the cochlear level [17]. Because of this, the monaural beat percept depends on similar intensity of the tones, whereas binaural beats can be perceived irrespective of differences in degree of loudness because their percept relies solely on phase differences [18]. While monaural beats are perceptible throughout the whole audible frequency range, binaural beats are a phenomenon of low frequencies [7]. This implies that monaural beats and binaural beats have quite different properties which, in turn, render them useful for different types of basic research and application.

Binaural beats, like monaural beats, fall into the range of auditory modulated tones, which are frequently used in basic acoustic research as well as in clinical diagnostics [19]. Any auditory stimulation using repetitive or modulated tones elicits a specific neural response pattern that can be measured by electroencephalography (EEG) or magnetoencephalography (MEG) [19]. Neural responses are detectable, for example, as auditory steady state responses (ASSRs) [20] or auditory frequency-following responses (FFRs), which both appear immediately after stimulus onset in the form of composite waves [21, 22]. ASSR and FFR can be functionally attributed to discrete stages of auditory processing and are, thus, both relevant for sound processing and hearing research [23]. Several studies demonstrated that stimulation with binaural beats elicits ASSRs as well as FFRs [1, 4, 13, 24].

Research on binaural beats started as early as 1839, when the phenomenon was first described by H. W. Dove [25]. However, given that it is a perceptual response to stimuli which are artificially generated and do not occur in natural settings, binaural beats were dismissed as a mere curiosity for more than a century. Scientific interest in binaural beats has been rekindled only much later when the results from early empirical studies were systematically integrated by Oster [9]. Not only did he describe the phenomenon in more detail, he also highlighted the potential relevance of binaural beat stimulation for practical use. This sparked a new wave of activity not only in the scientific community but also in certain pseudoscientific contexts. Ultimately, this led to the development of intervention approaches which use binaural beats for cognitive enhancement [26]. It was probably due to this latter trend, that basic scientific research on binaural beats was largely neglected in the decades following Oster’s publication [9]. It has been only for the last two decades that systematic research on binaural beats has gained traction again. This was mainly due to a series of studies in the 2000’s that investigated ASSRs using EEG and MEG, which provided first reliable neuroscientific evidence for specific responses in human brain activity after binaural beat stimulation [4, 13, 24]. The newly available empirical data on electrocortical responses to binaural beats led to a growing interest in the neuro-physiological correlates [2729].

The brainwave entrainment hypothesis

More recently, research has mainly focused on the psychological effects of binaural beat stimulation [30]. Within this field of study, effects on cognition, emotion, as well as certain concomitant physiological changes are investigated [31, 32]. The theoretical basis of psychological research on the effects of binaural beat stimulation is provided by the brainwave entrainment hypothesis [15] which suggests that auditory or visual stimulation at a specific frequency will lead the brain’s electrocortical activity to oscillate at the external signal’s frequency or at its multiples. For binaural beat stimulation, the brainwave entrainment hypothesis was corroborated primarily by empirical studies demonstrating time-locked ASSRs [4, 13, 24]. While review articles on BWE indicate that binaural beats are the most commonly used type of auditory stimulation, no specific justification is given for this preference [30].

What makes the possibility of brainwave entrainment (BWE) interesting for psychological research is that specific frequency bands of the human EEG are associated with different physiological and psychological states [33]. The commonly held assumption is that BWE may, thus, be a method to induce specific physiological and psychological states through stimulation within particular frequency bands [15]. Effects of binaural beat stimulation have, consequently, been investigated with respect to a variety of psychological phenomena associated with specific EEG frequency bands, such as aspects of cognitive processing [31, 34, 35], affective states [31, 36, 37], mood [1, 38, 39], pain perception [40, 41], meditation and relaxation [42, 43], mind wandering [44, 45], or creativity [46]. Research on changes in cognitive and affective states has also been carried out using monaural beats as an entrainment technique [4749].

The neuroscientific evidence for BWE

Given that the theoretical basis of the applied studies on effects of binaural beat stimulation is the brainwave entrainment hypothesis [15], the fact that a considerable number of available basic research studies failed to demonstrate sound evidence for BWE [36, 37, 40, 42, 4446] makes the results of those applied research endeavors highly questionable. There are actually several studies yielding results that are difficult to bring in line with the assumption of brainwave entrainment. Using 7 Hz (EEG theta frequency) and 16 Hz (beta frequency) binaural beat stimulation, Goodin et al. [5] did not find any differences in average spectral power for the experimental condition compared to a white noise control condition. In the same vein, Gao et al. [50] did not find changes in relative power in response to five minutes of EEG delta, theta, alpha or beta binaural beat stimulation compared to a pink noise condition, and López-Caballero and Escera [51] were also not able to determine effects of binaural beat stimulation on spectral power in any of the major EEG frequency bands. Beyond that, there are a number of other studies that challenge the brainwave entrainment hypothesis [e.g., 25, 5255]. The additional problem that in most studies on potential effects of binaural beat stimulation an entrainment was not independently empirically assured but merely assumed, has been pointed out before [40, 56].

In recent years, however, a number of neuroscientific studies provided at least partial evidence in favor of the brainwave entrainment hypothesis [e.g., 2, 57, 58]. For example, Schwarz and Taylor [4] found an ASSR with ten minutes of 40 Hz (gamma frequency) binaural beat stimulation in comparison to no-stimulation conditions. Draganova et al. [13] reported similar findings using MEG. Karino et al. [24] demonstrated BWE for stimulation in the delta (1- to 4-Hz range) and theta frequency bands. These latter findings were corroborated by Seifi Ala et al. [59], who applied 7 Hz binaural beat stimulation and found changes in relative theta power. Recently, Orozco Perez et al. [1] used continuous binaural beat stimulation at 7 Hz and 40 Hz and found both an ASSR in the respective beat frequency as well as an FFR in the carrier frequency (400 Hz). Research on monaural beat stimulation supports this inconclusiveness regarding the brainwave entrainment hypothesis, with some studies demonstrating BWE through monaural beat stimulation [16], while other did not find entrainment effects [47].

The conflicting findings regarding BWE can be attributed to a number of obvious problems in this field of research. First of all, the operationalization of entrainment effects in the human EEG is diverse, with some researchers considering the presence of time-locked responses in the auditory system (ASSR and FFR, respectively) as indicators of BWE [e.g., 1, 4, 52], while others focus on changes in EEG power measures (oscillatory activity) [5, 50, 51, 55]. Apart from studies looking into EEG measures in the frequency-domain, a number of studies link BWE to the time-domain (event-related potentials, ERPs) [57, 60, 61]. Adding even more heterogeneity to the measurement of BWE, recent studies have shifted their focus from effects in the EEG frequency- and time-domains to brain connectivity measures [1, 50, 59, 6265].

A second limiting factor is that studies in the field tend to use highly heterogeneous study designs [52]. Heterogeneity starts with the study samples, with most studies involving healthy adult populations [e.g., 2, 51, 55, 57], while others examine neurological samples [16, 64]. Another problem is related to the variety of frequencies used for binaural beat stimulation. This is of special importance since it is assumed that different frequency bands differ in their capacity to be entrained [52]. Furthermore, there is considerable heterogeneity in the presentation of the binaural beats with some studies using tone bursts [e.g., 57], while others use continuous tones which further vary in their duration [e.g., 50]. In addition, there is considerable variation in overall study designs. While some studies used passive listening conditions with eyes open or eyes closed [e.g., 52, 59], in others participants were instructed to focus on the binaural beats, and still others aimed at distracting participants intentionally [e.g., 51, 62]. Finally, a number of study approaches had participants execute an unrelated additional task during binaural beat stimulation [e.g., 25, 65]. The available studies on the effects of binaural beats use a wide range of control conditions, that is pure tones, non-superimposed tones, monaural beats, or silence [e.g., 1, 25, 64]. A final issue is that when it comes to EEG and MEG measurement, studies differ considerably with respect to data collection and data processing procedures [e.g., 1, 61, 64], as well as data analysis [e.g., 54, 58, 61].

In view of this, the need for a systematic analysis and integration of the current state of research becomes evident—even more so in consideration of the fact that binaural beat stimulation is regularly used in applied contexts [1, 31, 3446].

The present systematic review

While research on potential psychological effects of binaural beat stimulation is based on the assumption of brainwave entrainment, the empirical basis for this presupposition is open to question given that neuroscientific results on BWE through binaural beat stimulation appear to be largely inconclusive. The aim of the present systematic review study is, thus, to provide an overview of brainwave entrainment effects in response to binaural beat stimulation. Hence, the research question is whether the available empirical evidence is sufficiently robust to assume that stimulation with binaural beats in the frequency range of the human EEG elicits systematic changes in EEG oscillatory activity in line with the brainwave entrainment hypothesis.

Materials and methods

Inclusion and exclusion criteria

This research question implies several criteria for the inclusion or exclusion of studies. To be included in the present systematic review, publications had to fulfill the following requirements: the studies (a) investigated neurologically healthy and normal-hearing adults, (b) implemented a binaural beat in the frequency range of the human EEG, (c) presented binaural beats with pure carrier tones in the human auditory range or pure audible tones embedded in noise, (d) included at least one control condition assumed not to elicit brainwave entrainment, and (e) investigated binaural beat perception in a passive state, which means that participants were not confronted with a secondary task during the intervention. The only exception from the latter requirement was when participants were allowed to watch a silent movie during the experimental session since this is common practice in hearing research to ensure implicit processing of auditory stimuli [66]. The implementation of a control condition as required by criterion (d) may have been realized either by comparing different experimental groups (between-subjects design), or by means of different experimental conditions compared within participants (within-subject design). Additional inclusion criteria were (f) explicit statements concerning the study aim to test for BWE, (g) the use of EEG, and (h) the report of at least one EEG measure to ascertain BWE. Since the scoping searches yielded grey literature as well as conference proceedings that were insufficient with respect to the information provided, another criterion for inclusion in this review was that (i) the studies had to be original, published research using an original dataset. Complementary to the inclusion criteria, the following exclusion criteria were applied: (a) the participants were under the age of 18 or suffered from neurological diseases or hearing disabilities, (b) the implemented frequencies for the intervention were not within the human EEG frequency range, (c) the binaural beats were not presented using pure carrier tones within the bounds of the human auditory range or were combined with other auditory or non-auditory stimuli, (d) the study did not include a control condition which was assumed to not elicit BWE or (e) included a secondary task during the intervention. Additional exclusion criteria were related to studies (f) not establishing BWE empirically, (g) not using EEG, (h) not consulting EEG correlates of BWE, or (i) not being published, original research with a dedicated dataset.

To systematically apply inclusion and exclusion criteria during the screening and selection process, a screening and selection tool was developed and used.

Search

A systematic search was carried out on June 20, 2021, using PubMed, Web of Science (WoS) and Scopus as databases to identify available literature. The search was limited to English and German results. Publication time limits were not set. Scoping searches revealed that binaural beat research using EEG is so scarce that the broad search terms of binaural beat(s) and EEG were sufficiently specific. The databases were browsed for entries which contained the search terms in the title, abstract, or (if applicable) keywords. Details of the search in each of the databases as well as the syntax used for the search are shown in Table 1. All retrieved database results were subsequently entered into a reference management database (Citavi 6, Swiss Academic Software, Wädenswil, Switzerland), where incompletely imported data sets such as records labeled as conference proceedings (cf. inclusion criteria) were removed. Furthermore, duplicates were manually removed from the following screening and selection steps. Search reruns to check for relevant updates were carried out on April 25, 2022, and on April 25, 2023, using the same search strategy.

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Table 1. Details of the search process for each database.

https://doi.org/10.1371/journal.pone.0286023.t001

Literature selection

Initially, 185 records were identified in total. The titles and abstracts of the records that remained after a cleaning of the reference database were screened for relevance for the present systematic review. In a next step, the inclusion and exclusion criteria were applied, i.e. for all records identified as potentially relevant for the review, full texts were retrieved and assessed for eligibility using the screening and selection tool. This process resulted in a sample of 15 studies that met all criteria. Additionally, a citation search was conducted using all retrieved full texts. One further study was identified but was excluded after the application of the exclusion criteria. The search reruns identified 59 recently published new records and resulted to the screening of six additional records of which four were dismissed after full text retrieval on the basis of the inclusion and exclusion criteria. The remaining two studies were included in the review. Overall, these first identification and screening steps resulted in 17 studies that were included at this point.

An independent rater (ESP) carried out the search a second time and also reviewed the retrieved records using the screening and selection tool. The results of the two independent search processes were compared and differences were resolved by the two raters through discussion.

Fig 1 depicts an outline of the search process using a flow diagram in accordance with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines [67]. The PRISMA checklist [68] is to be found in the supplementary documents (see S1 Table). For the present systematic review no protocol was registered.

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Fig 1. PRISMA flow diagram for the search process.

(Descriptive caption: A flow diagram illustrates the search process, namely inputs and outcomes of the identification, screening and quality assessment phases. Described is a sequence of steps which started with 185 records identified in the initial search and additional 59 studies from search reruns, and which resulted in the 14 studies that were included in the present systematic review).

https://doi.org/10.1371/journal.pone.0286023.g001

Results

Quality assessment

General assessment of study quality.

An assessment of the quality of the sample of studies was carried out. Given that the majority of the studies implemented a quasi-experimental study design, the Checklist for Quasi-Experimental Studies by the Joanna Briggs Institute [69] was used. The results of the quality assessment are shown in Table 2.

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Table 2. Results of quality assessment of included reports.

https://doi.org/10.1371/journal.pone.0286023.t002

Overall, while the quality of the final sample of studies was mixed, a consistent pattern of strengths and shortcomings was discernible. All studies that met the inclusion criteria had implemented study designs that allow for a differentiation of causes and effects, i.e. the binaural beat stimulation was applied as a treatment, and resulting changes in EEG parameters were examined as outcome variables. With the exception of one study that did not explicate the assignment procedure [43], participants in the treatment or control groups were comparable in terms of demographics. This applies, however, only to the six studies that assigned different groups of participants to treatment or control conditions. The majority of the studies used within-subject designs, where experimental groups are matched in principle [69]. Across the studies, treatment outcomes were predominantly measured, analyzed and assessed in a transparent and consistent manner for all experimental conditions. Only the study by Deraman and David [70] did not explicitly state specifics of EEG data collection or details of the data analysis which makes a comparison with the other studies difficult. In addition, while the studies conducted by Brady and Stevens [71] and by Stevens et al. [53] used EEG data acquisition methods adequate to their time of publication, they are not meeting current methodological standards.

The quality assessment also pointed to certain shortcomings across the sample of studies. As previously mentioned, twelve out of the 16 studies did not implement a control group design. Furthermore, only two studies [53, 71] conducted multiple pre- and post-measurements so as to investigate effects which are not immediately attributable to the intervention [69]. These systematic shortcomings related to the study designs make causal inferences difficult to ascertain.

EEG-specific methodological assessment.

Given that the procedures related to the collection, preprocessing and analysis of EEG data vary across the studies, the sample was assessed with respect to the reported EEG measurement approaches. The two oldest studies [53, 71] were regarded as not appropriate from a methodological point of view (i.e. single EEG channel, inappropriate artifact-rejection procedures etc.) which led to their exclusion.

A further study [70] had to be excluded from the sample of 17 due to missing information on EEG acquisition and data analysis, i.e. parameters of the EEG system, filter adjustments as well as the approach to signal processing were not reported. Since this information is crucial for the evaluation of EEG results, an adequate level of methodological quality could not be determined for this study.

Overall characteristics of the sample of studies

The relevant characteristics of the remaining 14 studies are presented in Table 3.

Evidently, the scientific investigation of binaural beat stimulation in line with the question of the present review has a history of about 15 years, with the first study being published in 2007 [38] and the most recent one in 2023 [72]. The journals in which the studies are published cover a topical scope ranging from hearing research and acoustics to neuroscience and different areas of applied psychology. The studies were conducted by research groups from various countries in Europe, Asia and North- and South America, which means that groups of participants from different cultural backgrounds were involved. An examination of the research questions yielded five studies that focused on effects of binaural beat stimulation on EEG parameters in terms of classical brainwave entrainment [25, 38, 43, 52, 55]. Of the remaining studies, four stated an additional focus on connectivity measures [1, 50, 59, 62]. Six studies focused on applied effects of binaural beats on measures of attention [54], working memory and emotional states [73], mood [1] and physiological correlates [51]. One study aimed at comparing effects of binaural beat stimulations for male and female participants [72] and another study for groups of musicians and non-musicians [63].

Study designs

Details of the study designs are presented in Table 4. Sample sizes range from four (a pilot study) [38] to 47 [73] participants which covers the usual range for EEG studies.

Overall, the participants represent a young adult population with mean ages in the twenties and an upper age limit of around 35 years, with the exception of one study that investigated an older sample [38]. Four studies [5052, 55] involved samples consisting of university students exclusively.

Across all studies, binaural beats in all human EEG frequency bands were investigated. Beats in the range of the theta band were implemented in ten studies, thus, being the EEG frequency used most often. Beats in the delta band were investigated in three studies. One study [51] implemented a frequency of 57.3 Hz (upper gamma band), which means that in this study the assumed threshold for binaural beat perception [6] was actually exceeded. Continuous presentation of the binaural beats was used in 13 studies, ranging from one to 30 minutes of continuous stimulation. The remaining study [63] implemented binaural beats with a periodic cycling through a certain frequency range within a minute of stimulation. Four studies embedded the binaural beats in pink noise, while ten studies presented pure binaural beats.

The most obvious differences between the 14 studies were related to the reported study designs and procedures. All studies implemented a form of baseline EEG measurement before stimulus presentation. Post EEG measurement after stimulus presentation was reported in eight studies. The durations of pre- and post-measurements ranged from 20 seconds to ten minutes, during which participants were presented either with silence or with pink noise. The majority of the studies collected EEG data within a single session with a maximum duration of three hours. Three studies implemented multiple, i.e., between two and ten EEG sessions [25, 38, 55]. Among them, one study collected EEG data only during the first and last of ten stimulation sessions [25]. An additional difference in designs was the use of comparison groups which was done in four studies. The remaining ten studies relied on within-person comparisons. The procedures differed further in terms of breaks between stimulation sessions and, most importantly, the arrangement of stimulation conditions, i.e., application of different binaural beat frequencies or contrasting binaural beats with, for example, monaural beats. Participants were asked to listen passively to the stimuli with their eyes closed in the majority of the studies. Exceptions were studies that had participants watch a silent movie [51, 52, 63], focus on or listen to the sound [43, 62, 73], or try to ignore the presented sounds actively [63]. One study did not give information on the instructions given to the participants [72]. The carrier tones used in the sample ranged from 100 Hz to 900 Hz and were, thus, all below the threshold of 1 kHz [4]. Only four studies used the 400 Hz carrier frequency [1, 25, 52, 62] which was suggested by Goodin et al. [5] to yield optimal effects in binaural beat stimulation.

Data analysis and study results

An overview of the reported results of the 14 studies is presented in Table 5.

In terms of the EEG parameters which were used to operationalize brainwave entrainment, a number of studies referred to absolute power [38, 43, 55, 59, 72, 73], while other studies reported relative [50, 55, 59] or normalized power measures [1, 51, 63]. Three studies implemented ASSR and FFR measures [1, 63, 72], and one study used EEG source localization techniques [25].

For the majority of the studies, the statistical analyses focused on comparisons over time, i.e., either repeated measures ANOVAs or paired t-tests were used to compare EEG parameters for baseline and experimental conditions and, where applicable, post-measurement. Two studies comparing either different experimental groups [63] or different sessions [38] applied between-group comparisons. The remaining studies used non-parametric tests for comparisons [25, 54].

With respect to the study outcomes, only six out of the 14 studies of the final sample reported results in line with the entrainment hypothesis. Enhancement of EEG power through binaural beat stimulation when compared to control conditions or baseline recordings was found for the theta [1, 43, 59], the alpha [63, 72] and the gamma bands [1, 73]. The required stimulation durations were either six or ten minutes for theta [43, 59], five minutes for alpha [72], and 15 minutes for gamma entrainment [73]. Entrainment effects were discernible at parietal and temporal electrode sites for the theta band [59], at frontal, central, parietal and occipital areas for the alpha band [72], and at temporal, central and frontal scalp regions for the gamma band [73]. Comparisons with monaural beats revealed a higher ASSR for theta monaural beats compared to theta binaural beats, and a reversed pattern for gamma monaural and binaural beats, while no difference in FFR was found for the comparison of binaural and monaural beats [1]. One study additionally investigated cross-frequency responses and reported enhanced alpha power in response to a delta binaural beat stimulation [63].

Of the 14 studies, nine reported results that are at least partially inconsistent with the assumption of brainwave entrainment. Among these, one study reported mixed results [59] and is therefore mentioned both in support and against the BWE hypothesis, i.e., the authors found changes in relative theta power in response to theta binaural beats, but no corresponding changes in absolute power. The remaining eight studies reported no differences in EEG oscillatory activity in response to binaural beat stimulation compared to baseline or control conditions for the theta [25, 38, 50, 51, 54, 59, 62], the alpha [5052, 62], the beta [5052, 54] and the gamma bands [51]. While Corona-Gonzàlez et al. [55] demonstrated a generally increased absolute EEG power during binaural beat stimulation compared to the resting state condition, no frequency-specific effects were found for stimulations in the theta or the beta frequency, respectively. These results were, thus, contradictory to the assumption of differential entrainment effects in EEG bands in response to the respective binaural beat stimulation. Furthermore, one study failed to find entrainment effects even for the monaural beat conditions [51], and another study reported increased theta power for a pink noise-only compared to the binaural beat condition [38]. For these nine studies, the reported stimulation durations ranged from one to 30 minutes and comprised analyses of EEG parameters for different scalp regions. No systematic similarities in the designs of the studies were obvious, apart from the fact that all studies that embedded the binaural beats in pink noise are among those studies not finding entrainment.

Due to the heterogeneity in study designs as well as EEG measurement and analyses, and in the statistical procedures, the outcomes of the sample of 14 studies were not deemed qualified for a meta-analysis. A quantitative evaluation of the results was, thus, not further pursued.

Discussion

The present systematic review aims at an evaluation of available empirical studies investigating brainwave entrainment effects in response to binaural beat stimulation. To examine this question, a systematic search for literature was performed, and a selection process according to specified inclusion and exclusion criteria was conducted. The quality of the available studies was assessed subsequently. In a last step, information concerning study characteristics, study designs and study results was extracted and evaluated. Our findings demonstrate not only contradictory study outcomes, but, most notably, a considerable heterogeneity in study approaches in this field of research. As evident from the present review, the lack of an established general methodological framework renders the outcomes of the available studies of limited comparability.

Specific effects of binaural beat stimulation on EEG parameters have been a research topic for almost the last two decades and have been investigated by a number of independent research groups. The included studies involved small samples of young adults, and applied binaural beat stimulation in the main human EEG frequency bands. The studies varied considerably with respect to their designs, procedures, measurement approaches, EEG parameters and analyses.

The synthesis revealed contradictory results, with five studies reporting results in line with the brainwave entrainment hypothesis [15]. Eight studies reported no effects in terms of entrainment, and one study reported mixed results. Entrainment effects in response to binaural beat stimulation compared to control conditions was found for the theta, alpha, and gamma bands, while none of the studies using stimulation in the beta frequency range found entrainment effects.

Overall, there is no clear trend discernible either in favor of the brainwave entrainment hypothesis or against it. Two aspects should be mentioned at this point, however. At least with respect to the studies included in the present systematic review, the majority reported negative results. Technically, this casts serious doubts on whether the brainwave entrainment hypothesis is scientifically tenable. However, the second aspect of relevance in this context refers to the study conducted by Seifi Ala et al. [59] which reported mixed results only. A reanalysis of the same dataset by Shamsi et al. [74] using state-of-the-art approaches to EEG frequency analysis (Higuchi Fractal Dimension) yielded results in favor of the assumption of brainwave entrainment in response to binaural beat stimulation. Given the striking methodological heterogeneity of the studies included in our review, this latter finding suggests that the inconsistency in research outcomes might be at least partially attributable to specifics in the approaches to EEG measurement and analysis.

Consequently, while the present systematic review cannot provide an unequivocal answer to the research question of whether stimulation with binaural beats in the frequency range of the human EEG elicits brainwave entrainment effects, it certainly emphasizes the need for further systematic and more standardized approaches to basic research in this field of study.

There are several aspects for methodological improvement which can be inferred on the basis of the present systematic review. First, the quality assessment of the set of studies yielded mixed results. Despite common strengths in the implementation of the binaural beat stimulation, the prevailing lack of comparison groups and of multiple pre- and post-measurements is conspicuous, and cannot be explained in view of the current state of the art in EEG measurement [cf. e.g., 75]. Future studies investigating the effects of binaural beat stimulation using EEG should, therefore, address these basic design considerations thoroughly.

Second, the limited age-range of the groups of participants casts the generalizability of the results across age groups into doubt. Even though there are no theoretical grounds to assume that binaural beat perception changes in the course of development [9], a close examination of the available literature points to an unsatisfactory dearth of studies on both younger and older groups of participants.

Third, while synthesizing the sample of studies highlighted the overall diversity in research designs, certain patterns of consistency in the implementations and related studies outcomes are discernible nonetheless. For example, the fact that all studies embedding binaural beats in pink noise reported no effects in line with the brainwave entrainment hypothesis, could be a motivation to investigate the impact of the embedding of binaural beats in pink noise in contrast to other noise conditions—all the more so in view of past research that suggests binaural beat perception to be enhanced through noise embedding [9].

Fourth, EEG parameters which were predominantly used to assess entrainment fall within the broader category of EEG-power measures. Yet, given that we do not have a generally accepted definition of what brainwave entrainment in response to binaural beat stimulation actually is, the question of operationalization is not settled in principle. This points to a need for a comprehensive theoretical and methodological debate about the definition of brainwave entrainment which should result in an alignment with respect to EEG measures to assess entrainment effects.

Finally, and most importantly, the present synthesis of findings in basic research has implications for studies on binaural beats in the more applied fields in cognitive neuropsychology. The apparent lack of a sound empirical basis for the assumed electrophysiological underpinnings of higher-level changes in psychological outcomes (e.g., changes in mood [39] or cognitive processing [34] through binaural beat stimulation) challenges the results of a number of studies that merely assumed brainwave entrainment effects without actually measuring them [36, 37, 40, 42, 4446]. As pointed out by Lersch et al. [56], future studies on psychological or physiological effects of binaural beat stimulation have to incorporate neurocognitive measurement to empirically ascertain brainwave entrainment in a first step, before investigating changes in mental or physiological states that are assumed to be causally dependent on changes in the respective EEG parameters.

Limitations

This systematic review is, to the authors’ knowledge, the first to systematically synthesize and evaluate existing research on the question of whether binaural beat stimulation can be assumed to elicit brainwave entrainment effects. Even though compliant with the PRISMA guidelines for systematic reviews [67], a number of limitations should be pointed out:

First, the fact that only published studies that met the set of inclusion criteria were incorporated in this review must be taken into consideration. Unpublished research, including grey literature, was not surveyed, but excluded from the outset. This deliberate decision was the result of the outcomes of scoping searches and aimed at providing a body of empirical evidence satisfying rigorous scientific quality criteria. Nevertheless, it should be kept in mind that the range of output from this field of research might not have been captured in its entirety.

Second, it should be noted that while most parts of the review process including the search and selection of the literature and the EEG-specific methodological assessment were executed in parallel by independent researchers, the data extraction was carried out by only one of the authors (RMI) due to group-internal decisions. However, extracting and synthesizing data by different researchers independently can be assumed to further reduce bias, thus making the results more robust in principle.

Third, the study outcomes extracted for this review did not allow for further quantitative analyses. This is due to the considerable methodological heterogeneity of the 14 studies in the sample, which did not provide sufficient similarity for an analysis of quantitative data. Consequently, this review can only provide a synthesis of results on a descriptive level. Deeper insights in terms of effect sizes cannot be inferred.

Last, it should be noted that this systematic review was not preregistered. Doing so is generally desired in order to enhance the power of study results. However, the availability of a comprehensive process documentation and of the full dataset allows for complete transparency regarding the present systematic review and, thus, its outcomes.

Directions for future research

As a result of our systematic review, a number of starting points for future research become evident. First and foremost, the research question of whether brainwave entrainment in response to binaural beat stimulation can be assumed, remains open. Further research conducted in a consistent manner is necessary in order to provide a well-founded answer to that question. There is a need for a certain level of standardization with respect to the methodological basis in order to ensure comparability of study results. This implies a commonly accepted definition of the concept of brainwave entrainment in the first place. Only when a consensus is reached with respect to the methodological basis should EEG studies be implemented following predefined protocols in order to tackle the open issues of brainwave entrainment in response to binaural beat stimulation in general and, subsequently, of specific differences in binaural beat perception for groups of participants and under various experimental conditions.

Conclusion

The research question of this systematic review is whether there is sufficient empirical evidence for the assumption of brainwave entrainment effects due to binaural beat stimulation. To answer this question, the available literature reporting basic research studies on the effects of binaural beats on EEG parameters was screened and selected according to predefined inclusion and exclusion criteria. Fourteen studies met the inclusion criteria and passed the quality assessment. The review yielded inconsistent findings with five studies reporting results in line with the brainwave entrainment hypothesis, eight studies reporting contradictory results, and one mixed results. The synthesis of the 14 studies revealed substantial methodological heterogeneity, limiting the comparability of the study results. Consequently, the research question cannot not be settled at this point. Still, this review provides a relevant contribution to the field of research by pointing out the need for a wider scientific discourse about the definition and an operationalization of brainwave entrainment in a first step, in order to allow for a degree of methodological homogenization and standardization in a second step. Furthermore, the present systematic review highlights the fact that existing studies reporting changes in psychological and physiological functioning due to putative effects of brainwave entrainment in response to binaural beat stimulation should be considered with caution.

Supporting information

S1 Table. Search record.

For transparency reasons, an outline of the screening and selection process is provided for every located record.

https://doi.org/10.1371/journal.pone.0286023.s002

(DOCX)

References

  1. 1. Orozco Perez HD, Dumas G, Lehmann A. Binaural beats through the auditory pathway: From brainstem to connectivity patterns. eNeuro. 2020;7(2). Epub 19.03.2020. PubMed Central PMCID: PMC32066611. pmid:32066611
  2. 2. Ross B, Miyazaki T, Thompson J, Jamali S, Fujioka T. Human cortical responses to slow and fast binaural beats reveal multiple mechanisms of binaural hearing. Journal of neurophysiology. 2014;112(8):1871–84. Epub 09.07.2014. PubMed Central PMCID: PMC25008412. pmid:25008412
  3. 3. Licklider JCR, Webster JC, Hedlun JM. On the frequency limits of binaural beats. The journal of the acoustical society of america. 1950;22(4):468–73.
  4. 4. Schwarz DWF, Taylor P. Human auditory steady state responses to binaural and monaural beats. Clinical neurophysiology: official journal of the International Federation of Clinical Neurophysiology. 2005;116(3):658–68. PubMed Central PMCID: PMC15721080. pmid:15721080
  5. 5. Goodin P, Ciorciari J, Baker K, Carey A-M, Carrey A-M, Harper M, et al. A high-density EEG investigation into steady state binaural beat stimulation. PloS one. 2012;7(4):e34789. Epub 09.04.2012. PubMed Central PMCID: PMC22496862. pmid:22496862
  6. 6. Perrott DR, Nelson MA. Limits for the detection of binaural beats. The journal of the acoustical society of America. 1969;46(6):1477–81. PubMed Central PMCID: PMC5361518. pmid:5361518
  7. 7. Moore BCJ. An introduction to the psychology of hearing. 6th ed. ed. Bingley: Emerald; 2012. 441 p.
  8. 8. Perrott DR, Musicant AD. Rotating tones and binaural beats. The journal of the acoustical society of America. 1977;61(5):1288–92. PubMed Central PMCID: PMC881483. pmid:881483
  9. 9. Oster G. Auditory beats in the brain. Scientific American. 1973;229(4):94–103. pmid:4727697
  10. 10. Pratt H, Starr A, Michalewski HJ, Dimitrijevic A, Bleich N, Mittelman N. Cortical evoked potentials to an auditory illusion: binaural beats. Clinical neurophysiology: official journal of the International federation of clinical neurophysiology. 2009;120(8):1514–24. Epub 18.07.2009. PubMed Central PMCID: PMC19616993. pmid:19616993
  11. 11. Wernick JS, Starr A. Binaural interaction in the superior olivary complex of the cat: an analysis of field potentials evoked by binaural-beat stimuli. Journal of neurophysiology. 1968;31(3):428–41. PubMed Central PMCID: PMC5687763. pmid:5687763
  12. 12. Kuwada S, Yin TC, Wickesberg RE. Response of cat inferior colliculus neurons to binaural beat stimuli: possible mechanisms for sound localization. Science. 1979;206(4418):586–8. PubMed Central PMCID: PMC493964. pmid:493964
  13. 13. Draganova R, Ross B, Wollbrink A, Pantev C. Cortical steady-state responses to central and peripheral auditory beats. Cerebral cortex (New York, NY: 1991). 2008;18(5):1193–200. Epub 07.09.2007. PubMed Central PMCID: PMC17827173. pmid:17827173
  14. 14. Recanzone GH, Sutter ML. The biological basis of audition. Annual review of psychology. 2008;59:119–42. PubMed Central PMCID: PMC17678445. pmid:17678445
  15. 15. Huang TL, Charyton C. A comprehensive review of the psychological effects of brainwave entrainment. Alternative therapies in health and medicine. 2008;14(5):38–50. PubMed Central PMCID: PMC18780583. pmid:18780583
  16. 16. Becher A-K, Höhne M, Axmacher N, Chaieb L, Elger CE, Fell J. Intracranial electroencephalography power and phase synchronization changes during monaural and binaural beat stimulation. The European journal of neuroscience. 2015;41(2):254–63. Epub 25.10.2014. PubMed Central PMCID: PMC25345689. pmid:25345689
  17. 17. Ross B, Draganova R, Picton TW, Pantev C. Frequency specificity of 40-Hz auditory steady-state responses. Hearing research. 2003;186(1–2):57–68. pmid:14644459
  18. 18. Tobias JV. Consistency of sex differences in binaural-beat perception. International audiology. 1965;4:179–82.
  19. 19. Farahani ED, Wouters J, van Wieringen A. Brain mapping of auditory steady-state responses: A broad view of cortical and subcortical sources. Human brain mapping. 2021;42(3):780–96. Epub 09.11.2020. PubMed Central PMCID: PMC33166050. pmid:33166050
  20. 20. Picton TW, John MS, Dimitrijevic A, Purcell D. Human auditory steady-state responses. International journal of audiology. 2003;42(4):177–219. PubMed Central PMCID: PMC12790346. pmid:12790346
  21. 21. Coffey EBJ, Herholz SC, Chepesiuk AMP, Baillet S, Zatorre RJ. Cortical contributions to the auditory frequency-following response revealed by MEG. Nature communications.
  22. 22. Galambos R, Makeig S, Talmachoff PJ. A 40-Hz auditory potential recorded from the human scalp. Proceedings of the national academy of sciences of the United States of America. 1981;78(4):2643–7. PubMed Central PMCID: PMC6941317. pmid:6941317
  23. 23. Slugocki C, Bosnyak D, Trainor LJ. Simultaneously-evoked auditory potentials (SEAP): A new method for concurrent measurement of cortical and subcortical auditory-evoked activity. Hearing research. 2017;345:30–42. Epub 31.12.2016. PubMed Central PMCID: PMC28043881. pmid:28043881
  24. 24. Karino S, Yumoto M, Itoh K, Uno A, Yamakawa K, Sekimoto S, et al. Neuromagnetic responses to binaural beat in human cerebral cortex. Journal of neurophysiology. 2006;96(4):1927–38. Epub 21.06.2006. PubMed Central PMCID: PMC16790592. pmid:16790592
  25. 25. Da Silva Junior M, Freitas RCd, dos Santos WP, Da Silva WWA, Rodrigues MCA, Conde EFQ. Exploratory study of the effect of binaural beat stimulation on the EEG activity pattern in resting state using artificial neural networks. Cognitive systems research. 2019;54:1–20.
  26. 26. Atwater FH. Accessing anomalous states of consciousness with a binaural beat technology. Journal of scientific exploration. 1997;11(3):263–74.
  27. 27. Palaniappan R, Phon-Amnuaisuk S, Eswaran C. On the binaural brain entrainment indicating lower heart rate variability. International journal of cardiology. 2015;190:262–3. Epub 22.04.2015. PubMed Central PMCID: PMC25932800. pmid:25932800
  28. 28. Jirakittayakorn N, Wongsawat Y. A novel insight of effects of a 3-Hz binaural beat on sleep stages during sleep. Frontiers in human neuroscience. 2018;12:387. Epub 24.09.2018. PubMed Central PMCID: PMC30319382. pmid:30319382
  29. 29. Gantt MA, Dadds S, Burns DS, Glaser D, Moore AD. The effect of binaural beat technology on the cardiovascular stress response in military service members with postdeployment stress. Journal of nursing scholarship: an official publication of sigma theta tau International honor society of nursing. 2017;49(4):411–20. Epub 23.05.2017. PubMed Central PMCID: PMC28544507. pmid:28544507
  30. 30. Basu S, Banerjee B. Prospect of brainwave entrainment to promote well-being in individuals: A brief review. Psychological studies. 2020;65(3):296–306.
  31. 31. Garcia-Argibay M, Santed MA, Reales JM. Efficacy of binaural auditory beats in cognition, anxiety, and pain perception: a meta-analysis. Psychological research. 2019;83(2):357–72. Epub 02.08.2018. PubMed Central PMCID: PMC30073406. pmid:30073406
  32. 32. Chaieb L, Wilpert EC, Reber TP, Fell J. Auditory beat stimulation and its effects on cognition and mood States. Frontiers in psychiatry. 2015;6:70. Epub 12.05.2015. PubMed Central PMCID: PMC26029120. pmid:26029120
  33. 33. Zschocke S, Kursawe H, editors. Klinische Elektroenzephalographie. 3., aktualisierte und erw. Aufl. ed. Berlin: Springer Medizin; 2012.
  34. 34. Ross B, Lopez MD. 40-Hz Binaural beats enhance training to mitigate the attentional blink. Scientific reports. 2020;10(1):7002. Epub 24.04.2020. PubMed Central PMCID: PMC32332827. pmid:32332827
  35. 35. Kennel S, Taylor AG, Lyon D, Bourguignon C. Pilot feasibility study of binaural auditory beats for reducing symptoms of inattention in children and adolescents with attention-deficit/hyperactivity disorder. Journal of pediatric nursing. 2010;25(1):3–11. Epub 03.06.2009. PubMed Central PMCID: PMC20117669. pmid:20117669
  36. 36. Ölçücü MT, Yılmaz K, Karamık K, Okuducu Y, Özsoy Ç, Aktaş Y, et al. Effects of listening to binaural beats on anxiety levels and pain scores in male patients undergoing cystoscopy and ureteral stent removal: A randomized placebo-controlled trial. Journal of endourology. 2021;35(1):54–61. Epub 20.11.2020. PubMed Central PMCID: PMC33107329. pmid:33107329
  37. 37. Isik BK, Esen A, Büyükerkmen B, Kilinç A, Menziletoglu D. Effectiveness of binaural beats in reducing preoperative dental anxiety. The British journal of oral & maxillofacial surgery. 2017;55(6):571–4. Epub 18.03.2017. PubMed Central PMCID: PMC28325532. pmid:28325532
  38. 38. Wahbeh H, Calabrese C, Zwickey H, Zajdel D. Binaural beat technology in humans: a pilot study to assess neuropsychologic, physiologic, and electroencephalographic effects. Journal of alternative and complementary medicine (New York, NY). 2007;13(2):199–206. PubMed Central PMCID: PMC17388762. pmid:17388762
  39. 39. Lane JD, Kasian SJ, Owens JE, Marsh GR. Binaural auditory beats affect vigilance performance and mood. Physiology & behavior. 1998;63(2):249–52. pmid:9423966
  40. 40. Schmid W, Marhofer P, Opfermann P, Zadrazil M, Kimberger O, Triffterer L, et al. Brainwave entrainment to minimise sedative drug doses in paediatric surgery: a randomised controlled trial. British journal of anaesthesia. 2020;125(3):330–5. Epub 08.07.2020. PubMed Central PMCID: PMC32653082. pmid:32653082
  41. 41. Gkolias V, Amaniti A, Triantafyllou A, Papakonstantinou P, Kartsidis P, Paraskevopoulos E, et al. Reduced pain and analgesic use after acoustic binaural beats therapy in chronic pain—A double-blind randomized control cross-over trial. European journal of pain (London, England). 2020;24(9):1716–29. Epub 27.07.2020. PubMed Central PMCID: PMC32564499. pmid:32564499
  42. 42. McConnell PA, Froeliger B, Garland EL, Ives JC, Sforzo GA. Auditory driving of the autonomic nervous system: Listening to theta-frequency binaural beats post-exercise increases parasympathetic activation and sympathetic withdrawal. Frontiers in psychology. 2014;5:1248. Epub 14.11.2014. PubMed Central PMCID: PMC25452734. pmid:25452734
  43. 43. Jirakittayakorn N, Wongsawat Y. Brain responses to a 6-Hz binaural beat: Effects on general theta rhythm and frontal midline theta activity. Frontiers in neuroscience. 2017;11:365. Epub 28.06.2017. PubMed Central PMCID: PMC28701912. pmid:28701912
  44. 44. Chaieb L, Derner M, Leszczyński M, Fell J. Modulation of mind wandering using auditory beat stimulation: a pilot study. Journal of cognitive enhancement. 2020;4(1):40–8.
  45. 45. Kirk U, Wieghorst A, Nielsen CM, Staiano W. On-the-spot binaural beats and mindfulness reduces behavioral markers of mind wandering. Journal of cognitive enhancement. 2019;3(2):186–92.
  46. 46. Reedijk SA, Bolders A, Hommel B. The impact of binaural beats on creativity. Frontiers in human neuroscience. 2013;7:786. Epub 14.11.2013. PubMed Central PMCID: PMC24294202. pmid:24294202
  47. 47. Engelbregt H, Barmentlo M, Keeser D, Pogarell O, Deijen JB. Effects of binaural and monaural beat stimulation on attention and EEG. Experimental brain research. 2021;239:2781–91. Epub 2021/07/10. PubMed Central PMCID: PMC34245340. pmid:34245340
  48. 48. Chaieb L, Krakau S, Reber TP, Fell J. Modulation of mind wandering using monaural beat stimulation in subjects with high trait-level mind wandering. Frontiers in psychology. 2022;13:815442. Epub 2022/06/13. PubMed Central PMCID: PMC35769725. pmid:35769725
  49. 49. Chaieb L, Wilpert EC, Hoppe C, Axmacher N, Fell J. The impact of monaural beat stimulation on anxiety and cognition. Frontiers in human neuroscience. 2017;11:251. Epub 2017/05/15. PubMed Central PMCID: PMC28555100. pmid:28555100
  50. 50. Gao X, Cao H, Ming D, Qi H, Wang X, Wang X, et al. Analysis of EEG activity in response to binaural beats with different frequencies. International journal of psychophysiology: official journal of the International organization of psychophysiology. 2014;94(3):399–406. Epub 31.10.2014. PubMed Central PMCID: PMC25448376. pmid:25448376
  51. 51. López-Caballero F, Escera C. Binaural beat: A failure to enhance EEG power and emotional arousal. Frontiers in human neuroscience. 2017;11:557. Epub 15.11.2017. PubMed Central PMCID: PMC29187819. pmid:29187819
  52. 52. Vernon D, Peryer G, Louch J, Shaw M. Tracking EEG changes in response to alpha and beta binaural beats. International journal of psychophysiology: official journal of the International organization of psychophysiology. 2014;93(1):134–9. Epub 17.10.2012. PubMed Central PMCID: PMC23085086. pmid:23085086
  53. 53. Stevens L, Haga Z, Queen B, Brady B, Adams D, Gilbert J, et al. Binaural beat induced theta EEG activity and hypnotic susceptibility: contradictory results and technical considerations. The American journal of clinical hypnosis. 2003;45(4):295–309. PubMed Central PMCID: PMC12722933. pmid:12722933
  54. 54. Crespo A, Recuero M, Galvez G, Begoña A. Effect of binaural timulation on attention and EEG. Archives of acoustics. 2013;38(4):517–28.
  55. 55. Corona-González CE, Alonso-Valerdi LM, Ibarra-Zarate DI. Personalized theta and beta binaural beats for brain entrainment: An electroencephalographic analysis. Frontiers in psychology. 2021;12. pmid:34867666
  56. 56. Lersch F, Hight D, Frohlich F. Entrainment of brain network oscillations in anaesthesia. Comment on british journal of anaesthesia 2020;125:330–335. British journal of anaesthesia. 2021;126(1):e11–e2. Epub 08.09.2020. PubMed Central PMCID: PMC32917374. pmid:32917374
  57. 57. Pratt H, Starr A, Michalewski HJ, Dimitrijevic A, Bleich N, Mittelman N. A comparison of auditory evoked potentials to acoustic beats and to binaural beats. Hearing research. 2010;262(1–2):34–44. Epub 01.02.2010. PubMed Central PMCID: PMC20123120. pmid:20123120
  58. 58. Grose JH, Mamo SK. Electrophysiological measurement of binaural beats: effects of primary tone frequency and observer age. Ear and hearing. 2012;33(2):187–94. PubMed Central PMCID: PMC21926628. pmid:21926628
  59. 59. Seifi Ala T, Ahmadi-Pajouh MA, Nasrabadi AM. Cumulative effects of theta binaural beats on brain power and functional connectivity. Biomedical signal processing and control. 2018;42:242–52.
  60. 60. Ungan P, Yagcioglu S, Ayik E. Event-related potentials to single-cycle binaural beats of a pure tone, a click train, and a noise. Experimental brain research. 2019;237(11):2811–28. Epub 26.08.2019. PubMed Central PMCID: PMC31451833. pmid:31451833
  61. 61. Ungan P, Yagcioglu S, Ayik E. Event-related potentials to single-cycle binaural beats and diotic amplitude modulation of a tone. Experimental brain research. 2019;237(8):1931–45. Epub 20.05.2019. PubMed Central PMCID: PMC31111175. pmid:31111175
  62. 62. Solcà M, Mottaz A, Guggisberg AG. Binaural beats increase interhemispheric alpha-band coherence between auditory cortices. Hearing research. 2016;332:233–7. Epub 02.11.2015. PubMed Central PMCID: PMC26541421. pmid:26541421
  63. 63. Ioannou CI, Pereda E, Lindsen JP, Bhattacharya J. Electrical brain responses to an auditory illusion and the impact of musical expertise. PloS one. 2015;10(6):e0129486. Epub 12.06.2015. PubMed Central PMCID: PMC26065708. pmid:26065708
  64. 64. Derner M, Chaieb L, Surges R, Staresina BP, Fell J. Modulation of item and source memory by auditory beat stimulation: A pilot study with intracranial EEG. Frontiers in human neuroscience. 2018;12:500. Epub 11.12.2018. PubMed Central PMCID: PMC30618681. pmid:30618681
  65. 65. Beauchene C, Abaid N, Moran R, Diana RA, Leonessa A. The effect of binaural beats on visuospatial working memory and cortical connectivity. PloS one. 2016;11(11):e0166630. Epub 28.11.2016. PubMed Central PMCID: PMC27893766. pmid:27893766
  66. 66. Bhattacharya J, Pereda E, Ioannou C. Functional associations at global brain level during perception of an auditory illusion by applying maximal information coefficient. Physica A: Statistical mechanics and its applications. 2018;491:708–15.
  67. 67. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ (Clinical research ed). 2021;372:n71. Epub 29.03.2021. PubMed Central PMCID: PMC33782057. pmid:33782057
  68. 68. Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS medicine. 2009;6(7):e1000097. Epub 21.07.2009. PubMed Central PMCID: PMC19621072. pmid:19621072
  69. 69. Tufanaru C, Munn Z, Aromataris E, Campbell J, Hopp L. Chapter 3: Systematic reviews of effectiveness. In: Aromataris E, Munn Z, editors. JBI manual for evidence synthesis: JBI; 2020.
  70. 70. Deraman SN, David NV. Gamma-domain brainwave stimulation using isochronic tones. Journal of science and technology in the tropics. 2017;13(2):75–84.
  71. 71. Brady B, Stevens L. Binaural-beat induced theta EEG activity and hypnotic susceptibility. The American journal of clinical hypnosis. 2000;43(1):53–69. pmid:10911677
  72. 72. Kim K-B, Jung J-J, Lee J-H, Kim Y-J, Kim J-S, Choi M-H, et al. Frequency-following response effect according to gender using a 10-Hz binaural beat stimulation. Technology and health care. 2023;Preprint:1–6. Epub 2023/04/06. PubMed Central PMCID: PMC37038776. pmid:37038776
  73. 73. Jirakittayakorn N, Wongsawat Y. Brain responses to 40-Hz binaural beat and effects on emotion and memory. International journal of psychophysiology: official journal of the International organization of psychophysiology. 2017;120:96–107. pmid:28739482
  74. 74. Shamsi E, Ahmadi-Pajouh MA, Seifi Ala T. Higuchi fractal dimension: An efficient approach to detection of brain entrainment to theta binaural beats. Biomedical signal processing and control. 2021;68.
  75. 75. Farzan F, Atluri S, Frehlich M, Dhami P, Kleffner K, Price R, et al. Standardization of electroencephalography for multi-site, multi-platform and multi-investigator studies: insights from the canadian biomarker integration network in depression. Scientific reports. 2017;7(1):7473. PubMed Central PMCID: PMC28785082. pmid:28785082