We can measure the electrical activity of the brain while someone meditates, but can we measure mindfulness itself? Research into brainwaves is revealing fascinating patterns, alongside some important questions about how psychologists study subjective experience.
Imagine two people sitting quietly in a neuroscience laboratory. Both have their eyes closed, both appear relaxed, and both are wearing a cap covered in electrodes that record the electrical activity of their brains. One is practising mindfulness meditation, paying attention to their breathing and noticing thoughts as they arise. The other is simply sitting quietly, perhaps thinking about what to have for dinner or remembering a conversation from earlier in the day.
From the outside, there is very little to distinguish them. Their posture, breathing and facial expressions might look almost identical, yet their internal experiences could be quite different. This raises an intriguing question: could we identify the person who is meditating simply by looking at their brain activity?
It is a question that researchers have been investigating for decades, using a technique known as electroencephalography, or EEG. By recording electrical activity from the scalp, scientists can examine how patterns of brain activity change during meditation and whether experienced meditators differ from people who have never practised. Some of the findings are fascinating, particularly those involving the brain's alpha and theta rhythms, but they also highlight a fundamental difficulty in psychological research.
Recording what the brain is doing is not necessarily the same as measuring what a person is experiencing. This distinction becomes particularly important when the experience we are trying to measure is mindfulness.
The Challenge of Measuring Mindfulness
Mindfulness has become an increasingly familiar concept in psychology, healthcare and everyday life. It is commonly described as paying attention to present-moment experience with an attitude of openness, curiosity and nonjudgement. Although definitions vary, most accounts emphasise some combination of attention, awareness and the way we respond to our thoughts and feelings.
The difficulty is that these are not necessarily the same psychological processes. Someone might be extremely aware of their anxiety but respond to it with harsh self-criticism, while another person might feel calm and relaxed without paying much attention to their immediate experience. Both could report feeling more present, but whether they are demonstrating mindfulness depends on which aspects of the construct we consider essential.
Psychologists have traditionally approached this problem using self-report questionnaires. Measures such as the Mindful Attention Awareness Scale (MAAS) and the Five Facet Mindfulness Questionnaire (FFMQ) ask people to reflect on their attention, awareness and responses to everyday experiences. Their answers are converted into scores that researchers can use to investigate relationships between mindfulness, psychological wellbeing and outcomes following mindfulness-based interventions.
These questionnaires are useful because they provide a practical way to study experiences that cannot be directly observed. However, they also depend on people's ability to recognise, remember and accurately describe their own mental processes. This introduces a problem that is particularly interesting in mindfulness research: becoming more mindful might change how accurately someone can evaluate their own mindfulness.
Consider someone who begins a meditation course believing they are generally good at concentrating. Before training, they might report that their mind rarely wanders, simply because they do not notice when it happens. After several weeks of practice, they may become much better at recognising distraction and realise just how frequently their attention drifts away from the present moment.
Their questionnaire responses could consequently suggest that they have become less attentive, even though their awareness of their own attention has improved. This does not mean mindfulness questionnaires are inherently unreliable, but it illustrates why changes in self-report scores are not always straightforward to interpret.
These concerns are supported by recent psychometric research. In a 2026 systematic review, Chems-Maarif and colleagues evaluated 21 self-report mindfulness scales and identified important limitations in areas such as content validity, discriminant validity and test–retest reliability. Although internal consistency and responsiveness were often adequate, the authors found that existing measures did not always capture the different components of mindfulness in a theoretically coherent way.
The findings raise a broader question about psychological measurement. If we are trying to understand changes in awareness, attention and emotional regulation, should we rely entirely on people's descriptions of their experiences, or could measurements of brain activity provide additional evidence?
Looking Inside the Meditating Brain
Electroencephalography offers one possible way of approaching this question. EEG uses electrodes placed on the scalp to detect electrical signals generated by coordinated activity within populations of neurons. Unlike many brain-imaging techniques, EEG can capture changes in activity over very short periods, making it particularly valuable for studying rapidly changing processes such as attention and responses to sensory information.
One of the most common approaches in meditation research involves examining brain oscillations, often referred to as brainwaves. These are rhythmic patterns of electrical activity that occur at different frequencies, measured in hertz (Hz), or cycles per second. Researchers typically group them into frequency bands, including delta, theta, alpha, beta and gamma.
Alpha activity, usually around 8–13 Hz, is frequently associated with wakeful rest and changes in how attention is allocated. Theta activity, generally around 4–8 Hz, has been linked to processes such as cognitive control, memory and drowsiness, depending on where it occurs and the circumstances in which it is recorded. Beta and gamma activity have also been investigated in relation to attention, information processing and coordination between neural populations.
These associations can make brainwaves sound like convenient indicators of particular mental states. Popular explanations sometimes suggest that alpha waves indicate relaxation, theta waves reflect deep meditation, and gamma waves represent unusually advanced states of consciousness. The reality is considerably more complicated because the same frequency band can be involved in different psychological and physiological processes.
For example, alpha activity often increases when someone closes their eyes, even if they are not meditating. Theta activity can change during demanding cognitive tasks but can also be associated with increasing sleepiness. Gamma activity is particularly challenging to interpret because high-frequency EEG recordings can be contaminated by electrical activity from facial and scalp muscles.
Consequently, observing an increase in a particular frequency does not automatically tell us what someone is thinking, feeling or experiencing. Researchers need to consider where the activity occurs, how it changes over time, and what the person is doing when it is recorded.
Nevertheless, studies have repeatedly reported changes in brainwave activity during meditation, suggesting that EEG can provide useful information about the neural processes associated with different practices.
What Does the Research Actually Show?
One of the most influential attempts to bring together the evidence was a systematic review published in 2015 by Tim Lomas, Itai Ivtzan and Cynthia Fu. The researchers examined 56 studies involving 1,715 participants, investigating how EEG activity differed during mindfulness meditation and comparison conditions.
Their review found that increases in alpha and theta activity were among the most commonly reported findings. The authors suggested that this combination might be associated with a state of relaxed alertness, in which a person remains attentive while experiencing relatively low levels of arousal. This interpretation fits with the subjective experience often described during meditation, where the aim is not necessarily to become sleepy or disengaged but to remain aware without becoming excessively caught up in thoughts.
However, the findings were far from universal. Some studies reported increases in particular frequencies, others found decreases, and some identified no significant differences between meditation and comparison conditions. The review also found no consistent pattern of results across beta, delta and gamma activity.
This variability is important because it challenges the idea that mindfulness has a single, identifiable electrical signature. If meditation always produced the same distinctive pattern of brain activity, we might expect researchers to observe relatively consistent findings across studies. Instead, the results appear to depend on factors such as the type of meditation being practised, the participants involved and the way EEG recordings are collected and analysed.
A more recent systematic review and exploratory meta-analysis, published in 2026 by Yan and colleagues, provides an updated perspective. Combining results across studies, the researchers found statistically significant positive effects for alpha, beta and gamma activity, but no statistically significant overall effect for theta.
At first glance, this might appear inconsistent with the earlier review, which identified theta increases as a commonly reported finding. However, the two reviews used different methods of synthesising evidence, and the more recent analysis also identified substantial variation across studies. Its authors cautioned that the findings were influenced by methodological differences and that stronger longitudinal and experimental research would be needed to clarify the relationship between meditation practice and EEG activity.
Taken together, these reviews support a cautious conclusion. Meditation is associated with measurable changes in electrical brain activity, but those changes are neither uniform nor sufficiently specific to provide a universal measure of mindfulness. EEG is therefore revealing something meaningful about the meditating brain, even if the precise psychological significance of that activity remains uncertain.
Is It Mindfulness, or Simply Relaxation?
One of the biggest challenges in interpreting meditation research is distinguishing mindfulness from other experiences that commonly accompany it. Meditation often involves sitting quietly, reducing movement, closing the eyes and allowing physiological arousal to decrease. Each of these factors can influence EEG activity independently of whether someone is practising mindfulness.
Consider an experiment comparing participants who meditate with participants who complete a demanding cognitive task. If the meditation group shows greater alpha activity, it would be tempting to conclude that alpha reflects mindfulness. However, the difference might instead be explained by the fact that one group is sitting quietly while the other is engaged in a mentally demanding activity.
Researchers can improve the comparison by including a quiet-rest condition, with participants sitting in the same position and keeping their eyes closed. Even this approach has limitations because someone instructed to rest quietly might spontaneously pay attention to their breathing or observe their thoughts. Conversely, a participant instructed to meditate might spend much of the session thinking about unrelated concerns.
The distinction between mindfulness and relaxation is especially important. Relaxation generally refers to a reduction in physical or psychological arousal, whereas mindfulness involves a particular quality of attention and awareness. Although the two can occur together, it is possible to be mindful while feeling anxious, uncomfortable or emotionally distressed.
Someone who notices their anxiety without immediately trying to suppress or escape it may be demonstrating mindfulness, even if their body remains physiologically aroused. Another person might feel deeply relaxed while daydreaming or drifting towards sleep, without engaging in the kind of awareness that mindfulness practices aim to cultivate.
If EEG changes are interpreted simply as evidence of relaxation, researchers risk overlooking what may be distinctive about mindfulness itself. Conversely, if every change observed during meditation is attributed to mindfulness, there is a danger of assigning a psychological meaning to brain activity that could have several different explanations.
This is an example of a broader problem in neuroscience known as reverse inference. The fact that a particular pattern of brain activity has been associated with a psychological process does not mean that observing the same pattern proves the process is occurring. Understanding what EEG activity means therefore requires more than identifying which brainwave frequencies increase or decrease.
Are All Types of Meditation the Same?
Another complication is that meditation is not a single, uniform activity. Different traditions and contemporary interventions use different techniques, and those techniques can involve quite distinct psychological demands. Treating them as interchangeable risks obscuring important differences in how attention and awareness are trained.
Focused-attention meditation typically involves selecting an object, such as the breath, and repeatedly returning attention to it whenever distraction occurs. Open-monitoring meditation places greater emphasis on noticing experiences as they arise, without maintaining attention on one specific object. Loving-kindness and compassion practices, meanwhile, involve deliberately cultivating particular emotional attitudes towards oneself or others.
Although these practices overlap in some respects, they are not psychologically identical. Sustaining attention on the breath may involve different cognitive processes from monitoring changing thoughts or generating feelings of compassion. It is therefore plausible that they could be associated with different patterns of neural activity.
This matters when researchers attempt to identify a general brainwave signature of meditation. A pattern that is consistently associated with one technique may not appear during another, and that difference would not necessarily mean that one practice is more effective or produces greater mindfulness.
There is also an important distinction between meditation as an activity and mindfulness as a psychological capacity. Someone can practise meditation without maintaining continuous mindful awareness throughout the session, just as someone may experience moments of mindfulness while walking, eating or having a conversation. Recording EEG during a meditation exercise therefore does not automatically tell us how mindful that person is in everyday life.
Does Meditation Produce Lasting Changes in the Brain?
Researchers are also interested in whether meditation produces changes that extend beyond the practice session itself. This introduces the distinction between state and trait effects, which is central to understanding what EEG research can tell us about mindfulness.
A state effect refers to a temporary change associated with what someone is doing or experiencing at a particular moment. For example, EEG activity might change when a participant begins meditating and return towards its previous pattern when the session ends. Such a finding could tell us something about the neural processes involved in the practice, but it would not establish that the person has developed a lasting psychological capacity.
A trait effect, by contrast, would involve a more enduring difference that persists outside the immediate meditation session. Researchers might investigate whether people who have practised meditation for many years show different resting EEG patterns or different neural responses during attention-related tasks.
Comparisons between experienced meditators and beginners have produced intriguing findings, but they also present methodological difficulties. People who choose to meditate regularly over many years may differ from non-meditators in personality, lifestyle, motivation or other characteristics that influence brain activity. Consequently, observing a difference between experienced practitioners and beginners does not establish that meditation caused that difference.
To investigate lasting changes more convincingly, researchers need longitudinal studies that follow participants over time. Ideally, these studies would include appropriate comparison groups, measurements taken before and after training, and follow-up assessments to determine whether any changes persist. They would also examine whether changes in EEG activity correspond to improvements in attention, emotional regulation or other outcomes relevant to mindfulness.
This distinction has practical implications. If meditation training changes someone's brain activity during a ten-minute exercise, that may be scientifically interesting, but it does not necessarily mean they have become more attentive or less reactive in their everyday relationships. Demonstrating those broader effects requires evidence that extends beyond the laboratory recording.
Could EEG Provide a More Objective Measure?
At this point, it might seem that EEG is too complicated to be useful for measuring mindfulness. However, the limitations of the method do not mean it lacks value. Instead, they suggest that we need to be more precise about what EEG can and cannot measure.
EEG provides an objective recording of electrical activity, but the psychological meaning assigned to that activity remains an interpretation. A particular pattern of alpha or theta activity might be associated with attentional regulation, reduced sensory processing or changes in arousal, but none of these possibilities can be assumed simply from the presence of the pattern.
For EEG to become a convincing measure of mindfulness, researchers would need to demonstrate several things. First, the relevant neural pattern would need to be reasonably reliable, appearing consistently under comparable conditions. Second, it would need to show some specificity, distinguishing mindfulness from experiences such as relaxation, drowsiness and ordinary quiet rest.
Researchers would also need to establish whether the EEG measure corresponds with other meaningful indicators of mindfulness. Does it relate to people's reported experiences? Does it predict performance on attention tasks or changes in emotional regulation? Does it provide information that questionnaires and behavioural measures cannot already capture?
These are questions of construct validity: whether a measure genuinely represents the psychological concept it is intended to assess. The same principle applies to self-report scales, behavioural tasks and physiological recordings. A measurement does not become a valid indicator of mindfulness simply because it produces a numerical score or uses sophisticated technology.
This is why EEG should not automatically be regarded as superior to self-report. The two approaches capture different kinds of information, and both involve limitations. Questionnaires provide access to how people perceive and describe their experiences, while EEG provides information about neural activity associated with those experiences.
Neither offers a complete account of mindfulness in isolation.
Towards a Better Science of Mindfulness
Perhaps the most promising direction is not to search for one definitive measure of mindfulness, but to combine different methods in ways that address their respective weaknesses. This would allow researchers to examine the relationships between subjective experience, brain activity and observable behaviour rather than assuming that any one of them provides the complete picture.
Imagine a study in which participants complete an eight-week mindfulness programme. Before and after training, researchers could assess self-reported mindfulness, record EEG activity and measure performance on tasks involving sustained attention or responses to distraction. A carefully matched comparison group would help establish whether any changes were attributable to mindfulness training rather than expectations, social contact or simply setting aside time for a regular activity.
During meditation sessions, researchers could also ask participants to report what they were experiencing at particular moments. For example, someone might indicate whether they had been attending to their breathing, noticing thoughts or becoming distracted. These reports could then be examined alongside the EEG recordings to investigate whether particular patterns of brain activity are associated with different kinds of experience.
Other EEG approaches, including event-related potentials, could provide additional information about how the brain responds to specific events. Rather than examining only ongoing brainwave activity, researchers could investigate responses to unexpected sounds, attentional demands or errors during a task. This might help clarify whether meditation training influences processes such as attention allocation and performance monitoring.
The strongest evidence would come from different measures producing a coherent pattern of findings. If participants reported greater awareness of distraction, demonstrated improvements on relevant behavioural tasks and showed corresponding changes in neural responses, researchers would have stronger grounds for concluding that a meaningful psychological change had occurred.
Even then, conclusions would need to remain specific to the processes actually measured. Improvements in attentional regulation would not necessarily demonstrate improvements in every aspect of mindfulness, particularly those involving acceptance, compassion or the way people relate to difficult emotions.
This kind of research may be more demanding than relying on a single questionnaire or EEG recording, but it also offers a more informative way of understanding what mindfulness training changes and why those changes might matter.
Simply Put
The neuroscience of meditation has made substantial progress, and EEG has played an important role in that development. Research has shown that meditation can be associated with changes in brain activity, particularly within frequency bands that have also been linked to attention, arousal and information processing. These findings provide useful clues about the neural processes involved in different forms of practice.
However, the evidence does not currently support the idea that mindfulness can be identified through one distinctive brainwave pattern. The findings vary across studies, and many of the observed changes can also occur during experiences that are not necessarily mindful. Differences in meditation techniques, recording conditions and participant characteristics further complicate attempts to identify a universal neural signature.
The challenge is partly technological, but it is also conceptual. Before we can establish whether EEG measures mindfulness, we need to be clear about which aspects of mindfulness we are trying to capture. Attention, awareness, acceptance and emotional regulation may be related, but they are not interchangeable, and there is little reason to assume that one physiological indicator could represent all of them equally well.
Perhaps the most important contribution of EEG research is therefore not the promise of replacing mindfulness questionnaires with brain-based measurements. Its greater value may lie in helping psychologists investigate how subjective experiences relate to underlying neural processes, and whether those relationships change with training.
Mindfulness is an experience that can be described, a set of skills that can be studied, and a psychological construct that must be measured carefully. EEG gives us another way of examining part of that picture, but it does not remove the need to understand what the person is actually experiencing.
We can measure the brain while someone meditates. The more difficult—and scientifically interesting—question is whether we can establish what those measurements tell us about mindfulness itself.
References
Chems-Maarif, R., Cavanagh, K., Baer, R., Gu, J., & Strauss, C. (2026). Measuring mindfulness: A systematic review and evaluation of self-report mindfulness scales. Clinical Psychology Review, 125, 102719. https://doi.org/10.1016/j.cpr.2026.102719
Lomas, T., Ivtzan, I., & Fu, C. H. Y. (2015). A systematic review of the neurophysiology of mindfulness on EEG oscillations. Neuroscience & Biobehavioral Reviews, 57, 401–410. https://doi.org/10.1016/j.neubiorev.2015.09.018
Yan, T., Wei, Y., Geng, F., Chen, S., Zhou, H., & Hu, Y. (2026). EEG oscillatory correlates of meditation practice: A systematic review and exploratory meta-analysis. Neuroscience, 611, 324–338. https://doi.org/10.1016/j.neuroscience.2026.07.012
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