Researchers have found that practitioners of meditation transition from light to deep sleep faster, and their period of transition does not increase with age as compared to those who do not practice meditation, and the duration of the deep sleep period is the longest among the former, whereas this duration reduces with age among the latter.
They have demonstrated the organization of sleep stabilization among Vipassana meditation practitioners.
Frequent sleep transitions (from deeper sleep to lighter sleep) are seen in sleep disorders, and with age, these transitions increase.
Traditionally, meditation has been recommended as a solution for ameliorating sleep disorders. However, scientific evidence on the relationship between meditation and sleep disorders was lacking.
A study by the National Institute of Mental Health & Neurosciences (NIMHANS) has established the association between meditation and proper sleep organization as well as sleep stability.
The study supported by the SATYAM program of the Department of Science and Technology, which investigated the importance of meditation on sleep organization and the correlation between sleep, meditation, and progress in well-being, demonstrated the distinct changes brought by Vipassana meditation practices on the sleep variables and hence on the macro-sleep architecture.
The team led by led by Prof. Bindu M. Kutty explored the efficacy of Vipassana meditation on the micro-sleep architecture dynamics, especially the spindle dynamics and Electroencephalogram (EEG) dynamics that determine the role of meditation on the thalamocortical synchronizing mechanisms essential for sleep intensity and continuity, memory consolidation, etc.
The study was published in the journal Neuromodulation: Technology at the Neural Interface.
Several event-related potential (ERPs) responses generated by the brain have been identified during non-rapid eye movement (NREM) and REM sleep, and important ERPs during various stages of sleep have been demonstrated in the study. These ERP responses are possible indicators of sleep stability.
A sleep protocol involving conventional sleep study (Polysomnography), sleep ERPs and tACS was proposed, tested, and standardized to infer sleep stability in control subjects and meditators.
It includes indices/measures which capture sleep fragmentation (stage transitions), sleep initiation (sleep latency), sleep continuity, sleep deepening, etc.
With the help of this protocol, the study evaluated sleep stage transitions and continuity of sleep stages to evaluate the quality of sleep.
The work also provides a broad overview of the application of Transcranial Alternating Current Stimulations (tACSs – a device that uses electrical current to boost brain function) while sleeping on normal healthy individuals and meditators to modulate sleepiness, and evaluated the effect of tACS on the endogenously generated brain oscillations using different frequencies.
