Predicting depression severity using effective and functional brain connectivity of the electroencephalography signals

Computers in Biology and Medicine, Год журнала: 2025, Номер 190, С. 110045 - 110045

Опубликована: Апрель 5, 2025

Язык: Английский

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Aging amplifies sex differences in low alpha and low beta EEG oscillations

NeuroImage, Год журнала: 2025, Номер unknown, С. 121231 - 121231

Опубликована: Апрель 1, 2025

Biological sex profoundly shapes brain function, yet its precise influence on neural oscillations was poorly understood. Despite decades of research, studies investigating sex-based variations in electroencephalographic (EEG) signals have yielded inconsistent findings that obstructs what may be a potentially crucial source inter-individual variability function. To address this, we analyzed five publicly available resting-state datasets, comprising EEG data (n=445) and iEEG (n=103). Three age ranges were defined, young adult (YA, 18-30 years), middle-aged (MA, 30-55 years) older (OA, 55-75 years). Our results revealed striking age-dependent differences: OA group exhibited robust differences, with males showing heightened low alpha (8-9 Hz) activity temporal regions attenuated beta (16-20 parietal-occipital areas compared to females. Intriguingly, these sex-specific patterns absent YA group, suggesting complex interplay between aging shaping dynamics. The MA groups fall group. increase band female adults is strongly associated hip size BMI. Furthermore, identified consistent sex-related the precentral gyrus scalp EEG, driving observed differences. This multi-level analysis allowed us bridge gap cortical scalp-level observations, providing more comprehensive picture distinct associations oscillatory several lifestyle factors demonstrates sex, age, oscillations, revealing highlight importance careful demographic consideration research design ensure fairness capturing full spectrum neurophysiological diversity.

Язык: Английский

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Distinct Mechanisms of Multiple Alpha‐Band Activities in Frontal Regions Following an 8‐Week Medium‐ (Yoga) and High‐Intensity (Pamela) Exercise Intervention

CNS Neuroscience & Therapeutics, Год журнала: 2025, Номер 31(5)

Опубликована: Май 1, 2025

ABSTRACT Aim Long‐term moderate‐ to high‐intensity exercise has been shown significantly enhance overall health such as the improvement of physiological indicators and brain functions. One key aspect activity is alpha‐band activity, which encompasses various sub‐oscillations within alpha frequency band. However, precise functions these following different regimens remain unclear. Methods We recruited 58 healthy college students divided them into four groups: Pamela (high‐intensity interval training, HIIT), yoga (moderate‐intensity continuous MICT), their corresponding matched control group (no exercise) for each intervention group. Participants in groups underwent training up 8 weeks (HIIT or MICT). Resting‐state EEG data were collected before after both with eyes open closed. Results Following HIIT, experienced a significant reduction body fat percentage notable increase skeletal muscle mass. In terms neural main difference was observed mid‐frequency range frontoparietal region during eyes‐open resting state. Conversely, 8‐week participants demonstrated duration maintaining balance sleep quality, reflected low‐ high‐frequency band activities bilateral frontotemporal regions eyes‐closed Conclusion This study, first time, differentiates effects long‐term on oscillation states, highlights that sub‐frequency bands would represent exercise‐related

Язык: Английский

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Aging amplifies sex differences in low alpha and low beta EEG oscillations

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Авг. 1, 2024

Abstract Biological sex profoundly shapes brain function, yet its precise influence on neural oscillations was poorly understood. Despite decades of research, studies investigating sex-based variations in electroencephalographic (EEG) signals have yielded inconsistent findings that obstructs what may be a potentially crucial source inter-individual variability function. To address this, we analyzed five publicly available resting-state datasets, comprising EEG data (n=445) and iEEG (n=103). Our results revealed striking age-dependent differences: older adults (30-80 years) exhibited robust differences, with males showing heightened low alpha (8-9 Hz) activity temporal regions attenuated beta (16-20 parietal-occipital areas compared to females. Intriguingly, these sex-specific patterns were absent younger (20-30 years), suggesting complex interplay between aging shaping dynamics. Furthermore, identified consistent sex-related the precentral gyrus scalp EEG, driving observed differences. This multi-level analysis allowed us bridge gap cortical scalp- level observations, providing more comprehensive picture further investigate functional implications oscillatory conducted correlation analyses uncover significant associations several lifestyle factors (behavioral anthropometric measures) adults. investigation demonstrates sex, age, oscillations, revealing And our highlight importance careful demographic consideration research design ensure fairness capturing full spectrum neurophysiological diversity. Significance statement The biological age had been long- standing, unresolved question largely unaddressed due limited sample sizes simplistic matching. study leverages large-scale, open datasets tackle this issue, analyzing hundreds participants across datasets. demonstrate substantial sex- based differences even baselines, particularly bands, uncovering activity. By connecting age-related potential circuit mechanisms factors, experimental accurately capture rich lifespan.

Язык: Английский

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Alpha oscillation mediates the interaction between suicide risk and symptom severity in Major Depressive Disorder

Frontiers in Neuroscience, Год журнала: 2024, Номер 18

Опубликована: Авг. 7, 2024

The aim of our study was to explore the relationship between changes in neural oscillatory power EEG, severity depressive-anxiety symptoms, and risk suicide MDD.

Язык: Английский

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Music therapy for depression: A narrative review

Brain‐X, Год журнала: 2024, Номер 2(3)

Опубликована: Авг. 17, 2024

Abstract As living standards improve, mental and physical health have been gaining increasing attention. Presently, depression is one of the most severe issues. Depression affects quality life affected individuals because it lasts for a very long time generally difficult to cure. Currently, pharmacotherapy psychotherapy are two main approaches treating depression. However, some principles characteristics remain unclear, its side effects significant noticeable. In addition, ordinary requires assistance qualified psychotherapist, which usually hard find expensive. Both methods burdensome patients, making them benefit. an easy‐to‐obtain therapy, music therapy has recommended by physicians as auxiliary various diseases regulate patients' emotions help primary treatment obtain better therapeutic effects. This review investigates summarizes recent articles on pathogenesis Its results show that effective available. systematic plan not yet formulated due lack samples short follow‐up times. Future studies should include more patients after period address continuous effect principle therapy.

Язык: Английский

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Resting-State Alpha Activity in the Frontal and Occipital Lobes and Assessment of Cognitive Impairment in Depression Patients

Psychology Research and Behavior Management, Год журнала: 2024, Номер Volume 17, С. 2995 - 3003

Опубликована: Авг. 1, 2024

Major depressive disorder (MDD) becomes one of the psychiatric disorders characteristic a combination cognitive, emotional, and somatic symptoms. Additionally, cognitive impairment has most significant impact on functional results. However, evaluation level is still based various subjective questionnaires as there no objective standard assessment yet. This research focuses resting-state alpha activity to identify cognition in MDD patients using electroencephalography (EEG) signals.

Язык: Английский

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Efficient Classification of Depression using EEG through Spectral Graph Analysis

Опубликована: Июнь 26, 2024

Язык: Английский

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Monitoring Sleep Quality Through Low α-Band Activity in the Prefrontal Cortex Using a Portable Electroencephalogram Device: Longitudinal Study (Preprint)

Опубликована: Окт. 4, 2024

The pursuit of sleep quality has become an important aspect people’s global quest for overall health. However, the objective neurobiological features corresponding to subjective perceptions remain poorly understood. Although previous studies have investigated relationship between electroencephalogram (EEG) and sleep, lack longitudinal follow-up raises doubts about reproducibility their findings. Currently, there is a gap in research regarding stable associations EEG data assessed through multiple collection sessions, which could help identify potential targets related quality. In this study, we used portable device collect resting-state prefrontal cortex over 3-month period from 42 participants (27 first month, 25 second 40 third month). Each participants’ was using Pittsburgh Sleep Quality Index (PSQI) estimate recent We found that significant consistent positive correlation low α band activity PSQI scores (<i>r</i>=0.45, <i>P</i>&lt;.001). More importantly, remained across all recordings (<i>P</i>&lt;.05), regardless whether considered same cohort or expanded sample size. Furthermore, discovered periodic component primarily contributed association with PSQI. These findings represent identification reliable target sessions. Our results provide solid foundation future applications devices monitoring screening disorders broad population.

Язык: Английский

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