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Individualized Spectral Features in First-episode and Drug-naïve Major Depressive Disorder: Insights from Periodic and Aperiodic EEG Analysis.
Biol Psychiatry Cogn Neurosci Neuroimaging
January 2025
School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou 511442, China; National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou 510006, China; Guangdong Province Key Laboratory of Biomedical Engineering, South China University of Technology, Guangzhou 510006, China; Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan. Electronic address:
Background: The detection of abnormal brain activity plays an important role in the early diagnosis and treatment of major depressive disorder (MDD). Recent studies have shown that the decomposition of the electroencephalography (EEG) spectrum into periodic and aperiodic components is useful for identifying the drivers of electrophysiologic abnormalities and avoiding individual differences.
Methods: This study aimed to elucidate the pathologic changes in individualized periodic and aperiodic activities and their relationships with the symptoms of MDD.
Solar-Driven Thermally Regenerative Electrochemical Cells for Continuous Power Generation with Coupled Optical and Thermal Integration.
ACS Appl Mater Interfaces
January 2025
Shenzhen Key Laboratory of Intelligent Robotics and Flexible Manufacturing Systems, Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
This study presents the development of a solar-driven thermally regenerative electrochemical cell (STREC) for continuous power generation. Key innovations include dual-function carbon-based electrodes for efficient solar absorption and electrochemical reactions, a transparent and ultrainsulating silica aerogel to maximize solar spectrum transmission while minimizing heat loss, and a compact heat exchanger to recover heat from hot cell streams. Under 1 sun conditions, the STREC achieves a power density of 912.
View Article and Find Full Text PDFBiomarkers.
Alzheimers Dement
December 2024
Sorbonne Université, Paris Brain Institute (ICM), INSERM, CNRS, UMR-1127, Mov'It, DreamTeam, Paris, France.
Background: Spectral power of slow rhythms in resting-state EEG increases along Alzheimer's disease (AD) continuum. Besides, recent studies have revealed 1) the importance of analyzing the aperiodic component of an EEG power spectrum and 2) the intrusions of sleep-like slow waves identifiable in wake EEG of animals and young adults. Importantly, the occurrence of these wake slow waves is known i) to increase after sleep deprivation, ii) to be associated with markers of sleepiness, and iii) to predict behavioral errors at different tasks.
View Article and Find Full Text PDFBackground: Studies suggest that structural changes in the midbrain are linked to Alzheimer's disease (AD) symptoms such as memory, sleep, and emotional disturbances. Brainstem atrophy, particularly in the locus coeruleus, has also been linked with poorer executive function. Studies showing brainstem as one of the first regions affected by AD largely employed novel imaging techniques such as neuromelanin-sensitive MRI, which is limited to research environments.
View Article and Find Full Text PDFElectrophysiological Signatures of Alpha Coma.
J Clin Neurophysiol
January 2025
Department of Intensive Care, Neuro-Intensive Care Unit, University Hospital of Geneva, Geneva, Switzerland.
Purpose: Recent research on quantitative EEG in coma has proposed several metrics correlating with consciousness level. However, the heterogeneous nature of coma can challenge the generalizability of these measures. This study investigates alpha-coma, an electroclinical pattern characterized by a widespread, nonreactive alpha rhythm often linked to poor outcomes.
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