Activation of a default mode network (DMN) including frontal and parietal midline structures varies with cognitive load, being more active during low-load tasks and less active during high-load tasks requiring executive control. Meditation practices entail various degrees of cognitive control. Thus, DMN activation patterns could give insight into the nature of meditation practices. This 10-week random assignment study compared theta2, alpha1, alpha2, beta1, beta2 and gamma EEG coherence, power, and eLORETA cortical sources during eyes-closed rest and Transcendental Meditation (TM) practice in 38 male and female college students, average age 23.7 years. Significant brainwave differences were seen between groups. Compared to eyes-closed rest, TM practice led to higher alpha1 frontal log-power, and lower beta1 and gamma frontal and parietal log-power; higher frontal and parietal alpha1 interhemispheric coherence and higher frontal and frontal-central beta2 intrahemispheric coherence. eLORETA analysis identified sources of alpha1 activity in midline cortical regions that overlapped with the DMN. Greater activation in areas that overlap the DMN during TM practice suggests that meditation practice may lead to a foundational or 'ground' state of cerebral functioning that may underlie eyes-closed rest and more focused cognitive processes.
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http://dx.doi.org/10.1007/s10339-009-0343-2 | DOI Listing |
Int J Mol Sci
January 2025
Department of Physiology and Pharmacology "Vittorio Erspamer", Sapienza University of Rome, 00185 Rome, Italy.
Patients with mild cognitive impairment due to Alzheimer's disease (ADMCI) typically show abnormally high delta (<4 Hz) and low alpha (8-12 Hz) rhythms measured from resting-state eyes-closed electroencephalographic (rsEEG) activity. Here, we hypothesized that the abnormalities in rsEEG activity may be greater in ADMCI patients than in those with MCI not due to AD (noADMCI). Furthermore, they may be associated with the diagnostic cerebrospinal fluid (CSF) amyloid-tau biomarkers in ADMCI patients.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Physics, University of Trento, Trento, 38123, Italy.
The analysis of electrophysiological recordings of the human brain in resting state is a key experimental technique in neuroscience. Resting state is the default condition to characterize brain dynamics. Its successful implementation relies both on the capacity of subjects to comply with the requirement of staying awake while not performing any cognitive task, and on the capacity of the experimenter to validate that compliance.
View Article and Find Full Text PDFSleep Breath
December 2024
Department of Anatomy, Faculty of Medicine, Istanbul Medeniyet University, Istanbul, Türkiye.
Objective: This study investigated the effects of sleep deprivation (SD) on balance after normal sleep, 24 h of SD, and subsequent rest under eyes-open (EO) and eyes-closed (EC) conditions. Our aim was to ascertain whether the reduced efficiency of balance control following SD is generalized or selective.
Method: Nineteen participants (12 females, 7 males) completed the Pittsburgh Sleep Quality Index (PSQI).
Brain Res
December 2024
NICM Health Research Institute, Western Sydney University, Penrith NSW 2751, Australia; Translational Health Research Institute (THRI), Western Sydney University, Penrith NSW 2751, Australia. Electronic address:
Subjective Cognitive Impairment (SCI) is a self-perceived worsening of cognitive decline, carrying an increased risk of developing Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD). Due to the self-report nature of SCI, an understanding of the biological mechanisms that contribute to an increased dementia risk is needed. This study aims to assess the differences in resting state electroencephalography (EEG) (eyes-open, eyes-closed; EO, EC) between older adults with SCI and healthy controls (HCs) utilising frequency principal components analysis (fPCA), a novel data driven approach.
View Article and Find Full Text PDFJ Appl Physiol (1985)
January 2025
Department of Nutrition and Exercise Physiology, University of Missouri, Columbia, Missouri, United States.
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