Eliciting brain waves of people with cognitive impairment during meditation exercises using portable electroencephalography in a smart-home environment: a pilot study

Meditation practices, specifically Mindfulness Based Stress Reduction (MBSR) and a culturally adapted Kirtan Kriya meditation, produce distinct changes in brain wave patterns that differ across the Alzheimer's disease spectrum. In healthy older adults, theta brain waves at four electrode sites (TP9, TP10, AF7, AF8) were statistically significantly reduced during Kirtan Kriya meditation compared to a resting state. The study involved 40 participants: 13 healthy controls, 14 with subjective cognitive decline, and 13 with mild cognitive impairment. Using a portable Muse EEG headband in a smart-home environment, the findings suggest that brain wave parameters can help discriminate early cognitive decline without medical support.

Study at a glance

Abstract

Objectives Meditation imparts relaxation and constitutes an important non-pharmacological intervention for people with cognitive impairment. Moreover, EEG has been widely used as a tool for detecting brain changes even at the early stages of Alzheimer’s Disease (AD). The current study investigates the effect of meditation practices on the human brain across the AD spectrum by using a novel portable EEG headband in a smart-home environment. Methods Forty (40) people (13 Healthy Controls—HC, 14 with Subjective Cognitive Decline—SCD and 13 with Mild Cognitive Impairment—MCI) participated practicing Mindfulness Based Stress Reduction (Session 2-MBSR) and a novel adaptation of the Kirtan Kriya meditation to the Greek culture setting (Session 3-KK), while a Resting State (RS) condition was undertaken at baseline and follow-up (Session 1—RS Baseline and Session 4—RS Follow-Up). The signals were recorded by using the Muse EEG device and brain waves were computed (alpha, theta, gamma, and beta). Results Analysis was conducted on four-electrodes (AF7, AF8, TP9, and TP10). Statistical analysis included the Kruskal–Wallis (KW) nonparametric analysis of variance. The results revealed that both states of MBSR and KK lead to a marked difference in the brain’s activation patterns across people at different cognitive states. Wilcoxon Signed-ranks test indicated for HC that theta waves at TP9, TP10 and AF7, AF8 in Session 3-KK were statistically significantly reduced compared to Session 1-RS Z = –2.271, p = 0.023, Z = −3.110, p = 0.002 and Z = −2.341, p = 0.019, Z = −2.132, p = 0.033, respectively. Conclusion The results showed the potential of the parameters used between the various groups (HC, SCD, and MCI) as well as between the two meditation sessions (MBSR and KK) in discriminating early cognitive decline and brain alterations in a smart-home environment without medical support.