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Can the World Around You Shape Your Brain Waves? Understanding Neural Entrainment

Can the World Around You Shape Your Brain Waves? Understanding Neural Entrainment
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Want the short answer?

Yes, it can, perhaps in a more direct way than you might expect.

Every second, your brain produces tiny electrical rhythms created by millions of neurons firing together. These rhythmic patterns, known as brain waves, are constantly changing as you think, learn, focus, and interact with the world around you.

What many people don't realize is that these brain waves don't always operate in isolation. The rhythm of a conversation, the beat of a song, or even the flicker of a light may influence how your brain's electrical activity responds. Scientists call this phenomenon neural entrainment – the tendency for brain activity to synchronize with rhythmic patterns in the environment. This process is sometimes referred to as brain wave entrainment because external rhythmic stimulation may influence ongoing brainwave activity. Although researchers have been investigating this phenomenon since the 1800s [1,2], many questions about how and why it occurs are still being explored.

Different brain wave frequencies are associated with different cognitive and behavioral states, such as attention, relaxation, learning, and sleep. Because of this, neural entrainment has become an exciting area of research, with scientists investigating whether external rhythms may provide a non-invasive way to support brain states related to attention, mood, cognition, and sleep.

While the underlying mechanisms are still the subject of ongoing research and debate, evidence suggests that neural entrainment can occur through three primary types of rhythmic stimulation: visual, speech, and auditory cues. Let's explore what the research has discovered about each.

Light Bulb Moment

Brain waves are commonly grouped into five frequency bands, from slowest to fastest: delta, theta, alpha, beta, and gamma. These frequencies are measured in Hertz (Hz), which refers to the number of electrical cycles that occur each second.

One of the clearest examples of neural entrainment comes from rhythmic visual stimulation. Imagine watching a light that flashes at a steady, consistent rate. Research has shown that this repetitive visual rhythm can influence brain wave activity in the visual cortex - the area of the brain responsible for processing what we see [3].

Scientists have investigated how this synchronization occurs and found that rhythmic light appears to align existing brain waves, rather than creating entirely new ones [4,5]. A helpful way to think about this is like a metronome guiding a group of musicians. The flashing light provides a steady external rhythm, encouraging ongoing brain activity to synchronize with it.

Interestingly, these changes in brain activity may also influence behavior. For example, studies have found that increasing synchronization of alpha-frequency brain waves in the visual cortex has been associated with improvements in visual attention and the ability to detect visual targets [6-8].

Give Us a Speech

No matter what language you speak, human speech follows a natural rhythm. From the pace of syllables to the rise and fall of a speaker's voice, our brains continuously track these rhythmic patterns while we listen.

Research has shown that during conversations, a listener's brain activity can synchronize with the rhythm of the speaker's voice. This phenomenon, known as speaker-listener neural entrainment, has been associated with improved attention, language comprehension, and, in some studies, greater social cooperation [9,10].

Researchers have gone one step further by investigating which brain wave frequencies may contribute to different aspects of speech processing:

  • Delta (<4 Hz): Helps track the speaker's overall rhythm, intonation, and emotional tone [11].
  • Theta (4–8 Hz): Breaks the continuous stream of speech into recognizable syllables, making language easier to understand [12].
  • Alpha (8–12 Hz): Supports attention while helping you temporarily hold spoken information in mind [13,11].
  • Beta (13–30 Hz): Helps distinguish individual speech sounds and may contribute to predicting what comes next in a conversation [12,14].
  • Gamma (30–80 Hz): Processes the fine acoustic details that allow us to differentiate similar speech sounds [11,15].

Rather than relying on a single brain wave frequency, spoken language unfolds across multiple timescales. Research suggests that different brain wave frequencies synchronize with these different layers of speech, allowing the brain to efficiently process and understand language.

Neural entrainment is also being investigated in the context of developmental language disorders, including dyslexia and developmental language disorder (DLD) [16]. Although this research is still evolving, it highlights the potential importance of neural entrainment in language comprehension, executive function, and memory formation.

Music to My Ears

There is a reason music is so universally compelling. A single song can shift your mood, trigger a vivid memory, or evoke an emotional response that feels almost automatic. This is because music is built on complex and layered rhythms that interact with the brain in powerful ways.

Over recent decades, research on music and the brain, combined with what we know about neural entrainment, has led scientists to explore whether structured auditory rhythms can influence brain activity. In both research and applied settings, rhythmic audio has been investigated as a non-invasive way to potentially support states such as focus, relaxation, creativity, and memory performance [17,18].

Researchers studying auditory entrainment typically focus on two main types of rhythmic stimulation:

Monaural beats involve a single rhythmic sound that is presented to both ears simultaneously. The beat itself is physically embedded in the audio signal. For example, a rhythm of 8 Hz would correspond to a cycle occurring eight times per second, which has been associated with alpha-range brain activity [19].

Binaural beats, in contrast, present two slightly different tones - one in each ear. The brain does not hear the difference directly, but instead processes the phase difference between the two signals. For example, if one ear receives a tone at 400 Hz and the other at 408 Hz, the brain perceives an 8 Hz rhythmic difference, which falls within the alpha frequency range20.

While research findings vary across studies, some evidence suggests that certain frequency ranges may be more consistently associated with entrainment effects than others. Alpha-range activity, often linked to relaxed alertness, and gamma-range activity, associated with higher-order cognitive processing, have both been explored in this context [21-23].

Neuroimaging research also indicates that auditory entrainment effects are often observed in the auditory cortex, though some studies report involvement of additional brain regions such as the frontal cortex. This may reflect either a broader network response or changes in functional connectivity during rhythmic stimulation [24].

Although results remain mixed and mechanisms are still being investigated, auditory entrainment continues to be an active area of research, particularly in relation to attention, mood regulation, memory, and sleep.

How Is Neural Entrainment Different from Neurofeedback?

Although neural entrainment and neurofeedback both involve brain activity, they are fundamentally different approaches.

Neural entrainment refers to the brain's natural tendency to synchronize with external rhythmic stimuli such as flashing lights, music, or speech. The individual passively experiences these stimuli while researchers observe how the brain responds.

Neurofeedback, by contrast, is an active learning process. Instead of relying solely on external rhythms, neurofeedback uses real-time EEG measurements to provide immediate feedback about brain activity. Individuals can observe these changes and gradually learn to regulate specific brainwave patterns through practice.

These approaches are not mutually exclusive. In research and applied neurotechnology, rhythmic stimulation and neurofeedback may be explored together to better understand how external sensory input interacts with ongoing brain activity.

Understanding Your Brain’s State

This naturally raises an important question: if external rhythms can influence brain activity, is it possible to intentionally guide this process and how would we know if it is actually working?

While many tools exist in the form of curated audio tracks or visual stimulation videos, a key challenge remains: how do we measure whether the brain is actually synchronizing in real time?

This is where neurofeedback becomes relevant.

Neurofeedback is a technique that uses EEG recordings to provide real-time information about brain activity. Instead of assuming how the brain is responding, it allows individuals to observe and interact with their own neural patterns directly.

For example, if the goal is to support alpha-range activity—often associated with relaxed and regulated states—the neurofeedback system can be configured to reflect this in real time. As alpha activity increases, a corresponding signal (such as sound or visual feedback) may change, reinforcing awareness of that state. As it decreases, the feedback adjusts accordingly.

Neurofeedback allows you to observe how your brain responds in real time, making it possible to explore which training approaches are most effective for your unique brain.

At BrainBit, this principle is applied through a mobile platform that includes neurofeedback training protocols delivered through music, video, and interactive tasks. These can also be combined with rhythmic auditory or visual stimuli, allowing users to explore how different environmental inputs may interact with their own brain activity.

Rather than prescribing a single optimal state, this approach supports exploration and personalization helping individuals understand how their brain responds under different conditions.

Instead of assuming how the brain is responding, wearable EEG devices make it possible to observe brainwave activity as it changes during different experiences. Whether listening to rhythmic audio, practicing meditation, or completing attention-based exercises, EEG provides objective information about ongoing brain activity. 

Closing Perspective

Neural entrainment reminds us that the brain is not isolated, it is constantly in dialogue with the world around it.

Neurofeedback offers a way to make that dialogue visible—providing a feedback loop through which individuals can observe, learn from, and potentially refine how their brain responds over time. In doing so, it opens the door to a more informed and personalized approach to training attention, regulation, and cognitive states.

About the Author

Sylvie Lahaie is a McGill-trained PhD in neuroscience and a neurofeedback practitioner based in Montreal. She works in remote neurofeedback, specializing in meditation and brain self-regulation, bridging neuroscience research with practical tools for everyday mental well-being. 

www.synapticsylvie.com

Frequently Asked Questions

What is neural entrainment?
Neural entrainment describes the tendency of brain activity to synchronize with external rhythmic stimulation such as sound, speech, or flashing lights.

Is neural entrainment the same as neurofeedback?
No. Neural entrainment involves external rhythmic stimulation, while neurofeedback uses EEG recordings to provide real-time feedback about brain activity.

Can music influence brain waves?
Research suggests that rhythmic auditory stimulation can influence brain activity under certain conditions, although the mechanisms continue to be actively studied.

Can speech synchronize brain activity?
Yes. Research indicates that listeners' brain activity can synchronize with aspects of speech rhythm during communication, supporting language processing and attention.

How does EEG measure brain waves?
EEG records tiny electrical signals generated by groups of neurons using sensors placed on the scalp.

What role does neurofeedback play?
Neurofeedback provides real-time information about brain activity, allowing individuals to observe and learn from their own brainwave patterns.

References

1 - Huang, T. L., & Charyton, C. (2008). A comprehensive review of the psychological effects of brainwave entrainment. Alternative Therapies in Health and Medicine, 14(5), 38–50. (Erratum published in Alternative Therapies in Health and Medicine, 14(6), 18.)

2 - Rager, G., & Singer, W. (1998). The response of cat visual cortex to flicker stimuli of variable frequency. European Journal of Neuroscience, 10(5), 1856–1877. https://doi.org/10.1046/j.1460-9568.1998.00197.x

3 - Herrmann, C. S. (2001). Human EEG responses to 1–100 Hz flicker: Resonance phenomena in visual cortex and their potential correlation to cognitive phenomena. Experimental Brain Research, 137, 346–353. https://doi.org/10.1007/s002210100682

4 - Müller, M. M., Malinowski, P., Gruber, T., & Hillyard, S. A. (2003). Sustained division of the attentional spotlight. Nature, 424, 309–312. https://doi.org/10.1038/nature01812

5 - Di Russo, F., Pitzalis, S., Aprile, T., Spitoni, G., Patria, F., Stella, A., Spinelli, D., & Hillyard, S. A. (2007). Spatiotemporal analysis of the cortical sources of the steady-state visual evoked potential. Human Brain Mapping, 28, 323–334. https://doi.org/10.1002/hbm.20276

6 - Mathewson, K. E., Fabiani, M., Gratton, G., Beck, D. M., & Lleras, A. (2010). Rescuing stimuli from invisibility: Inducing a momentary release from visual masking with pre-target entrainment. Cognition, 115, 186–191. https://doi.org/10.1016/j.cognition.2009.11.010

7 - de Graaf, T. A., Gross, J., Paterson, G., Rusch, T., Sack, A. T., & Thut, G. (2013). Alpha-band rhythms in visual task performance: Phase-locking by rhythmic sensory stimulation. PLOS ONE, 8, e60035. https://doi.org/10.1371/journal.pone.0060035

8 - Spaak, E., de Lange, F. P., & Jensen, O. (2014). Local entrainment of alpha oscillations by visual stimuli causes cyclic modulation of perception. Journal of Neuroscience, 34, 3536–3544. https://doi.org/10.1523/JNEUROSCI.4385-13.2014

9 - Peelle, J. E., & Davis, M. H. (2012). Neural oscillations carry speech rhythm through to comprehension. Frontiers in Psychology, 3, Article 320. https://doi.org/10.3389/fpsyg.2012.00320

10 - Jiang, J., Dai, B., Peng, D., Zhu, C., Liu, L., & Lu, C. (2012). Neural synchronization during face-to-face communication. Journal of Neuroscience, 32(45), 16064–16069. https://doi.org/10.1523/JNEUROSCI.2926-12.2012

11 - Meyer, L. (2018). The neural oscillations of speech processing and language comprehension: State of the art and emerging mechanisms. European Journal of Neuroscience, 48(7), 2609–2621. https://doi.org/10.1111/ejn.13748

12 - Giraud, A. L., & Poeppel, D. (2012). Cortical oscillations and speech processing: Emerging computational principles and operations. Nature Neuroscience, 15(4), 511–517. https://doi.org/10.1038/nn.3063

13 - Keitel, A., Ince, R. A. A., Gross, J., & Kayser, C. (2017). Auditory cortical delta-entrainment interacts with oscillatory power in multiple fronto-parietal networks. NeuroImage, 147, 32–42. https://doi.org/10.1016/j.neuroimage.2016.11.062

14 - Goswami, U. (2019). Speech rhythm and language acquisition: An amplitude modulation phase hierarchy perspective. Annals of the New York Academy of Sciences, 1453(1), 67–78. https://doi.org/10.1111/nyas.14137

15 - Gross, J., Hoogenboom, N., Thut, G., Schyns, P., Panzeri, S., Belin, P., & Garrod, S. (2013). Speech rhythms and multiplexed oscillatory sensory coding in the human brain. PLOS Biology, 11(12), Article e1001752. https://doi.org/10.1371/journal.pbio.1001752

16 - Poeppel, D., Idsardi, W. J., & Van Wassenhove, V. (2008). Speech perception at the interface of neurobiology and linguistics. Philosophical Transactions of the Royal Society B: Biological Sciences, 363(1493), 1071–1086. https://doi.org/10.1098/rstb.2007.2160

17 - Vuust, P., Heggli, O. A., Friston, K. J., & Kringelbach, M. L. (2022). Music in the brain. Nature Reviews Neuroscience, 23, 287–305. https://doi.org/10.1038/s41583-022-00578-5

18 - Henao, D., Navarrete, M., Valderrama, M., & Van Quyen, M. L. (2020). Entrainment and synchronization of brain oscillations to auditory stimulations. Neuroscience Research, 156, 271–278. https://doi.org/10.1016/j.neures.2020.03.004

19 - Chaieb, L., Wilpert, E. C., Reber, T. P., & Fell, J. (2015). Auditory beat stimulation and its effects on cognition and mood states. Frontiers in Psychiatry, 6, Article 70. https://doi.org/10.3389/fpsyt.2015.00070

20 - Ingendoh, R. M., Posny, E. S., & Heine, A. (2023). 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. PLOS ONE, 18(5), Article e0286023. https://doi.org/10.1371/journal.pone.0286023

21 - Vernon, D., Peryer, G., Louch, J., & Shaw, M. (2012). Tracking EEG changes in response to alpha and beta binaural beats. International Journal of Psychophysiology, 93(1), 134–139. https://doi.org/10.1016/j.ijpsycho.2012.10.008

22 - Schwarz, D. W. F., & Taylor, P. (2005). Human auditory steady state responses to binaural and monaural beats. Clinical Neurophysiology, 116(3), 658–668. https://doi.org/10.1016/j.clinph.2004.09.014

23 - Pastor, M. A., Artieda, J., Arbizu, J., Marti-Climent, J. M., Peñuelas, I., & Masdeu, J. C. (2002). Activation of human cerebral and cerebellar cortex by auditory stimulation at 40 Hz. Journal of Neuroscience, 22(23), 10501–10506. https://doi.org/10.1523/JNEUROSCI.22-23-10501.2002 

24 - Gao, X., Cao, H., Ming, D., Qi, H., Wang, X., Wang, X., & others. (2014). Analysis of EEG activity in response to binaural beats with different frequencies. International Journal of Psychophysiology, 94(3), 399–406. https://doi.org/10.1016/j.ijpsycho.2014.10.010

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