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A study published in the journal Mindfulness has found that practicing a brief session of breath-watching meditation can produce changes in brain activity in as little as two minutes. The research indicates that these neural shifts begin within the first few minutes of practice and reach their peak intensity around the seven-minute mark, regardless of a person’s prior meditation experience.
Many people turn to meditative practices to manage daily stress, improve focus, and enhance their emotional well-being. To understand how these practices affect the mind, scientists often use electroencephalography, which is commonly abbreviated as EEG. EEG is a technology that measures the electrical activity of the brain through sensors placed on the scalp. This electrical activity is recorded as brainwaves, which fluctuate at different speeds depending on a person’s mental state.
In past research, scientists often treated the brain during meditation as a static object. They typically collected brainwave data over a full session and averaged the numbers together to find general patterns. While this approach is useful for simplifying data, it misses the moment-to-moment shifts that occur when a person sits down to meditate. The authors of this study wanted to address this gap by tracking the exact timing of brainwave changes from the very beginning of a session.
Malipeddi Saketh, a senior research fellow at the Centre for Consciousness Studies at the National Institute of Mental Health and Neuro Sciences in Bengaluru, India, explained the motivation behind the project. “Meditation research has traditionally compared broad states such as ‘rest’ versus ‘meditation,’ but we still know surprisingly little about when changes in the brain actually emerge after meditation begins,” Saketh said. “Many people assume meditation effects require long sessions, yet little work has examined the moment-to-moment temporal dynamics of brain activity during meditation.”
Saketh and his colleagues sought to pinpoint these temporal transitions. “We were particularly interested in whether the brain shows specific time windows during meditation where changes become strongest,” Saketh noted. “Since breath-focused practices are widely used across mind-body traditions and mental health interventions, we investigated how neural activity evolves over time during a simple breath-watching meditation practiced in the Isha Yoga tradition.”
By tracking when brainwaves begin to shift and when these shifts reach their peak, the researchers hoped to find the optimal duration of a single session. This information is highly relevant for people who use digital applications or online platforms to practice. If brief sessions of under ten minutes can produce measurable neural changes, meditation could become a more realistic and scalable tool for the general public. Additionally, the researchers wanted to explore whether these timing patterns differ between experienced practitioners and beginners.
To explore these questions, the scientists recruited 103 participants and divided them into three distinct groups based on their level of experience. The first group consisted of 28 individuals with no prior history of meditation, who were classified as meditation-naïve controls. This control group included 16 female participants and had an average age of approximately 31 years. These participants were recruited from a local student community through digital advertisements and word-of-mouth recommendations.
The second group comprised 33 novice meditators, with an average age of nearly 32 years, including 14 female participants. These individuals had completed a foundational training program called Shambhavi Mahamudra, which is a 21-minute practice that incorporates breathing exercises and focus. However, they had not participated in any advanced training programs.
The third group included 42 advanced meditators, with an average age of roughly 35 years, including 18 female participants. These participants had completed an intensive eight-day silent retreat known as Samyama. This advanced retreat requires a strict 60-day preparation period that involves a specific vegan diet and multiple daily yoga practices. All participants in the study were matched to ensure similarities in age, gender, and socioeconomic background.
The researchers applied strict guidelines to select healthy participants. Individuals were excluded if they had a history of neurological disorders, uncorrected vision problems, hearing difficulties, or physical disabilities. Anyone with a history of substance abuse, major mental illness, or recent use of psychiatric medication was also excluded. For the novice and advanced groups, participants had to practice only within the Isha Yoga tradition and could have no experience with other meditation schools.
The study took place in a temperature-controlled, soundproof room to minimize external distractions. The entire experimental session included several phases, beginning with a period of quiet rest and a breathing exercise called pranayama. Next, participants engaged in a 15-minute breath-watching meditation, which was the focus of this specific analysis. To maintain high data quality, the researchers analyzed only the first 10 minutes of this meditation session.
During the breath-watching session, participants were instructed to focus their attention on the natural flow of their breath. If their minds wandered, they were told to simply notice the distraction and gently return their attention to their breathing. The experienced meditators performed this task as they normally would during their personal routines. The control group received a brief training session and a short practice period before the recording began to ensure they understood the instructions.
To record brain activity, the researchers used a specialized net containing 128 electrodes placed across the scalp. Before the session, participants washed their hair to ensure a clean electrical connection between the sensors and the skin. The system recorded brainwaves at a rate of 1,000 measurements per second.
Because biological systems generate non-brain signals, like muscle twitches or eye blinks, the scientists had to clean the data. They used specialized software tools to automatically detect and remove these artifacts, which are essentially electrical noise. They also applied mathematical algorithms to separate true brain signals from muscle movements and heartbeats. Any electrode channels that remained noisy were corrected using mathematical interpolation, which estimates missing data based on neighboring sensors.
The scientists analyzed the cleaned data across several frequency bands, which represent different speeds of brainwaves measured in hertz, or cycles per second. The lowest frequency band is delta, which ranges from 0.5 to 4 hertz and is typically associated with deep sleep or reduced alertness. Theta waves, ranging from 4 to 8 hertz, are associated with deep relaxation and inward mental focus.
The researchers also looked at a transitional band called theta-alpha, which ranges from 6 to 10 hertz. This band is thought to reflect a state of calm focus where relaxation and alertness overlap. Alpha waves, ranging from 8 to 12 hertz, represent a state of relaxed wakefulness, such as when someone closes their eyes but remains awake.
The beta1 band, ranging from 13 to 20 hertz, is linked to active, focused attention. Beta2 waves, ranging from 20 to 30 hertz, are associated with high-level cognitive processing or stress, though no changes were found in this band during the study. Finally, the gamma1 band, ranging from 30 to 40 hertz, is associated with active perception and can sometimes reflect mind-wandering or sensory processing.
To track how brain activity changed over time, the researchers compared the data from successive one-minute segments against the first 30 seconds of the meditation session, which served as the baseline. They also ran a separate analysis comparing the meditation state to a period of eyes-closed rest. They used a statistical method called threshold-free cluster enhancement to analyze the data across all 128 sensors simultaneously. This mathematical approach helps identify genuine patterns across neighboring electrodes while reducing the risk of false positives.
The analysis revealed that all three groups experienced brainwave changes during the meditation session. These changes consistently began to emerge around the two- to three-minute mark. Across all groups, the researchers observed increases in theta, theta-alpha, alpha, and beta1 power. At the same time, there was a steady decrease in delta and gamma1 power.
These shifting patterns peaked in intensity between seven and ten minutes into the session. This suggests that the brain gradually transitions into a stable state of relaxed alertness during the practice. The combination of increased alpha and theta waves alongside decreased delta waves provides evidence of this calm, attentive state.
Saketh pointed out that the findings challenged expectations of how brain activity shifts. “One surprising finding was the consistency of the temporal pattern across multiple EEG measures,” he stated. “We observed that several neural changes appeared to intensify around a similar time window rather than increasing linearly throughout the session. This suggests that meditation may involve identifiable transition points in brain dynamics rather than gradual, uniform changes.”
Although the general patterns were similar, the exact timing of these shifts varied slightly by group. In the control group, significant changes across almost all frequency bands emerged precisely at the two-minute mark. Novice meditators showed changes in delta and beta1 waves even earlier, at the one-minute mark, while their theta and alpha waves shifted at two minutes.
Advanced meditators showed a unique pattern in their theta waves. Their theta power initially decreased at the one-minute mark before rising steadily from the second minute onward. The researchers suggest this temporary drop might represent a rapid reorganization of brain networks as experienced practitioners transition quickly into meditation.
When comparing the groups directly, the researchers found that advanced meditators exhibited distinct brainwave signatures. Throughout the entire session, including the very first 30 seconds, advanced meditators had significantly higher theta and theta-alpha power than the other groups. This suggests that long-term practice may produce lasting changes in the brain that remain present even at the start of a session.
Advanced meditators also showed a much stronger decrease in delta power during the first three minutes compared to both novices and controls. This lower delta activity suggests that experienced practitioners may experience less mind-wandering and higher levels of initial alertness. Additionally, advanced meditators showed significantly lower gamma1 power at the nine-minute mark compared to the control group.
The researchers also examined the relationship between theta and gamma1 waves, which tend to fluctuate in opposite directions. They found a negative correlation between these two bands in all three groups, meaning that as theta waves increased, gamma1 waves decreased. This negative correlation was strongest and most stable in the advanced meditators. In contrast, novice meditators showed the weakest relationship, while controls showed a fluctuating pattern over the ten-minute period.
Participation in long meditation retreats has been shown to significantly enhance well-being. However, this may not be practical or feasible for large segments of the population. Digital interventions that provide accessible meditation training through apps or online programs could help bridge this gap, making meditation more accessible to a wider population.
Saketh emphasized that the study offers encouraging news for those with busy schedules. “One important takeaway is that measurable changes in brain activity can emerge within just a few minutes of meditation practice,” he explained. “In our study, several EEG changes appeared to peak around seven minutes into the meditation session. This suggests that even relatively short periods of meditation may meaningfully influence brain dynamics.”
“From a mental well-being perspective, this is encouraging because many people feel they lack sufficient time to meditate or believe they need to practice for very long durations to experience benefits,” Saketh continued. “Our findings suggest that even brief periods of intentional mental training may begin engaging brain processes related to attention and internal awareness.”
These findings support the integration of brief meditation practices into daily routines for mental health and cognitive benefits. Mental health issues such as stress, anxiety, and depression are rising at an alarming rate worldwide. In response to this growing crisis, public health organizations emphasize the importance of investing in preventive care and promoting mental well-being.
But as with all research, there are some limitations to consider when interpreting the results. “This was a controlled laboratory study, so real-world meditation experiences can vary considerably among individuals and contexts,” Saketh noted. First, the researchers categorized the meditators based entirely on their self-reported training history. This approach does not account for individual differences in personality, motivation, or daily lifestyle, which can influence how a person responds to meditation.
Second, the study did not collect real-time descriptions of what the participants were experiencing during the session. Without this subjective feedback, it is difficult to know exactly how the brainwave changes relate to specific feelings of focus, distraction, or calm. Future studies could combine brainwave recordings with periodic questions to capture both physical and mental states simultaneously.
There is also a possibility of selection bias in the study sample. People who volunteer for meditation research often have positive attitudes toward the practice, which might affect their focus and brain activity.
Looking ahead, the research team hopes to expand on these findings by exploring more advanced states of consciousness. “Our broader goal is to better understand how meditation alters brain dynamics across time, especially in relation to attention, consciousness, well-being, and self-experience,” Saketh explained. “We are particularly interested in identifying neural markers associated with advanced meditative states, including non-dual awareness and equanimity.”
To achieve this, the team plans to incorporate a wider array of measurement tools. “Future work will involve combining EEG with other approaches such as MRI, autonomic measures, and longitudinal designs to better understand how short-term brain changes relate to long-term psychological and behavioral outcomes,” Saketh said.
“One aspect we find exciting is that the study moves beyond asking whether meditation changes the brain and instead asks how these changes unfold over time,” Saketh reflected. “Understanding the temporal dynamics of meditation may help bridge mind-body traditions and modern neuroscience in a more mechanistic and experimentally testable way.”
The study, “Temporal EEG Signatures of Meditation Experience: Peak Brainwave Changes at 7 Minutes During Isha Yoga Breath Watching,” was authored by Malipeddi Saketh, Arun Sasidharan, Rahul Venugopal, Prejaas K.B. Tewarie, Ravindra P Nagendra, Georg Northoff, Steven Laureys, Balachundhar Subramaniam, and Bindu M Kutty.
