Imagine you’re a detective investigating a crime scene. You carefully collect evidence, taking note of every detail to solve the case. Similarly, scientists conducted a pilot study to uncover how meditation alters brain waves in people with cognitive impairment. Using a portable EEG headband in a smart-home environment, they recruited 40 participants across the Alzheimer’s Disease spectrum and guided them through mindfulness and Kirtan Kriya meditation sessions. They discovered that both types of meditation led to distinct changes in brain activity among individuals at different cognitive states. Specifically, healthy controls showed a decrease in theta waves during the Kirtan Kriya session, pointing towards potential improvements in cognitive decline. This research suggests that monitoring brain waves during meditation could aid in early detection and intervention for cognitive impairments like Alzheimer’s Disease, providing valuable insight for patients and healthcare professionals alike. To learn more about this fascinating study, dive into the underlying research!

ObjectivesMeditation 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.MethodsForty (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).ResultsAnalysis 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.ConclusionThe 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.

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