Characterizing Major Depressive Disorder (MDD) using alpha-band activity in resting-state electroencephalogram (EEG) combined with MATRICS Consensus Cognitive Battery (MCCB)

Journal of Affective Disorders, Journal Year: 2024, Volume and Issue: 355, P. 254 - 264

Published: March 30, 2024

The diagnosis of major depressive disorder (MDD) is commonly based on the subjective evaluation by experienced psychiatrists using clinical scales. Hence, it particularly important to find more objective biomarkers aid in and further treatment. Alpha-band activity (7-13 Hz) most prominent component resting electroencephalogram (EEG), which also thought be a potential biomarker. Recent studies have shown existence multiple sub-oscillations within alpha band, with distinct neural underpinnings. However, specific contribution these treatment MDD remains unclear. In this study, we recorded resting-state EEG from HC populations both open closed-eye state conditions. We assessed cognitive processing MATRICS Consensus Cognitive Battery (MCCB). found that group showed significantly higher power high range (10.5–11.5 lower low (7–8.5 compared group. Notably, negatively correlated working memory performance MCCB, whereas no such correlation was Furthermore, five established classification algorithms, discovered combining oscillations MCCB scores as features yielded highest accuracy or alone. Our results demonstrate frequency band When combined psychological scales, they may provide guidance relevant for MDD.

Language: Английский

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Editorial: Mechanism of neural oscillations and their relationship with multiple cognitive functions and mental disorders

Frontiers in Neuroscience, Journal Year: 2025, Volume and Issue: 18

Published: Jan. 7, 2025

Neural oscillations serve as a crucial biological bridge between the micro and macro levels of brain activity (Han et al., 2021a;Buzsáki Vöröslakos, 2023). These play key roles in various functions 2021c;Lin 2024). Moreover, abnormal neural are recognized potentially influential factors development wide range mental disorders 2022a;Wang 2024;Zikereya However, our understanding mechanisms underlying their functional different cognitive remains limited. Through this research topic, 10 related papers field published, including review aspects. Although we have not yet been able to fully answer question oscillation mechanisms, these studies nonetheless made significant progress, advancing step by towards goal.Mood increasingly receiving attention from researchers (major depression diorder (MDD) or bipolar disorder(BD)). In there seven involving mood disorders, which provide deeper insights into oscillatory mechanisms. Liu al (link) analyzed EEG signals enhance diagnosis MDD. By examining resting-state under both eyes-closed eyes-open conditions, asymmetries band power hemispheres were predictors This multi-region, multicondition approach improves diagnostic accuracy for MDD, suggesting could be valuable tool objective MDD treatment planning. Zhang explores how alpha medial occipital cortex (MOC) mediate relationship severity suicide risk It found that higher increases risk, while greater MOC serves protective factor. Specifically, partially mediates effect on with decrease linked risk. Wang investigates alterations connectivity (FC) individuals compared healthy controls (HCs). Using phase locking value (PLV) analysis across five frequency bands (theta, alpha, beta), study lower FC patients certain regions, notably right temporal-left cortex. No correlation was differences severity. The suggests EEG-based promising diagnosis. Su reviews latest (rsEEG) findings BD, highlighting multiple (delta, theta, beta, gamma), often marked increased power. abnormalities suggest widespread dysfunction. showed more variability, influenced disease sample diversity. stresses importance standardized experimental designs, considering like gender, age, medication, methodology. help improve BD treatment.Moreover, animal experiments gamma-band activities also contribute lot 2021b(Han , 2022b)), Bergosh use ketamine (KET) prefrontal deep stimulation (mPFC DBS) treatments rodent model. examines electrophysiological biomarkers, such spectral parameters entropy local potentials (LFP), correlate antidepressant-like behaviors. Results changes theta gamma activity, along entropy, may biomarkers efficacy, supporting KET mPFC DBS potential therapeutic strategies. Neuhausel Gerevich sexspecific effects NMDA receptor antagonist MK-801 hippocampal rats. finds female rats sensitive MK-801, showing power, impaired recognition memory, stereotypic contrast, male did exhibit changes, sex pharmacological antagonists, inform future neuropsychiatric schizophrenia depression.In recent years, physical has attracted increasing (Wang 2022). it is still understood types exercise. two relevant deserve attention. Li exercise (PE), aerobic resistance training, promotes plasticity through oscillations. PE enhances function modulating especially delta, gamma. Exercise neurotrophic BDNF IGF-1, support structures hippocampus emphasizes exercise, mind-body practices, affect offering age-related decline neurodegenerative diseases. Peng Beta-band corticomuscular coherence (Beta-CMC), refers synchronization muscle during movement. Beta (12-30 Hz) motor control, influencing movement planning execution. discusses Beta-CMC's role conditions rehabilitation, athletic performance. highlights sensorimotor system clinical applications, particularly neurofeedback personalized neuromodulation, aiming outcomes.In sum, topic provides new complex context models, much understood, significantly knowledge offer directions.

Language: Английский

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Association between moderate-to-vigorous physical activity trajectories and academic achievement in Chinese primary school children: a 3-year longitudinal study

BMC Public Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: Jan. 27, 2025

Language: Английский

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The neural oscillatory mechanism underlying human brain fingerprint recognition using a portable EEG acquisition device

NeuroImage, Journal Year: 2024, Volume and Issue: 294, P. 120637 - 120637

Published: May 5, 2024

In recent years, brainprint recognition has emerged as a novel method of personal identity verification. Although studies have demonstrated the feasibility this technology, some limitations hinder its further development into society, such insufficient efficiency (extended wear time for multi-channel EEG cap), complex experimental paradigms (more in learning and completing experiments), unclear neurobiological characteristics (lack intuitive biomarkers an inability to eliminate impact noise on individual differences). Overall, these are due incomplete understanding underlying neural mechanisms. Therefore, study aims investigate mechanisms behind brainwave simplify operation process. We recorded prefrontal resting-state data from 40 participants, which is followed up over nine months using single-channel portable device. found that devices can effectively stably capture different subjects alpha band (8-13Hz) long periods, well capturing their differences (no peak, 1 or 2 peaks). Through correlation analysis, alpha-band activity reveal uniqueness compared others within one minute. used descriptive model dissect oscillatory non-oscillatory components band, demonstrating contributions fine features (especially amplitude bandwidth). Our validated oscillation The various oscillations will contribute accuracy recognition, providing new insights future technology.

Language: Английский

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EEG-based major depressive disorder recognition by neural oscillation and asymmetry

Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: Feb. 14, 2024

Background Major Depressive Disorder (MDD) is a pervasive mental health issue with significant diagnostic challenges. Electroencephalography (EEG) offers non-invasive window into the neural dynamics associated MDD, yet efficacy contingent upon appropriate selection of EEG features and brain regions. Methods In this study, resting-state signals from both eyes-closed eyes-open conditions were analyzed. We examined band power across various regions, assessed asymmetry between hemispheres, integrated these clinical characteristics MDD regression model. Results Regression analysis found predictors to be beta2 (16–24 Hz) in Prefrontal Cortex (PFC) eyes open ( B = 20.092, p 0.011), beta3 (24–40 Medial Occipital (MOC) −12.050, < 0.001), Right Frontal (RMFC) closed 24.227, 0.001). Asymmetries beta1 (12–16 28.047, 0.018), alpha (8–12 Hz, 9.004, 0.013) theta (4–8 −13.582, 0.008) also predictors. Conclusion The study confirms potential multi-region improving precision for MDD. By including neurophysiological data, we present more robust approach understanding identifying complex disorder. Limitations research limited by sample size inherent variability signal interpretation. Future studies larger cohorts advanced analytical techniques are warranted validate refine findings.

Language: Английский

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

Journal of Medical Internet Research, Journal Year: 2025, Volume and Issue: 27, P. e67188 - e67188

Published: March 10, 2025

Background 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. Objective 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. Methods 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 Results We found that significant consistent positive correlation low α band activity PSQI scores (r=0.45, P<.001). More importantly, remained across all recordings (P<.05), regardless whether considered same cohort or expanded sample size. Furthermore, discovered periodic component primarily contributed association with PSQI. Conclusions These findings represent identification reliable target sessions. Our results provide solid foundation future applications devices monitoring screening disorders broad population.

Language: Английский

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Physical exercise for brain plasticity promotion an overview of the underlying oscillatory mechanism

Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: Aug. 8, 2024

The global recognition of the importance physical exercise (PE) for human health has resulted in increased research on its effects cortical activity. Neural oscillations, which are prominent features brain activity, serve as crucial indicators studying PE function. Existing studies support idea that modifies various types neural oscillations. While EEG-related literature science exists, a comprehensive review specifically healthy populations not yet been conducted. Given demonstrated influence plasticity, particularly oscillatory it is imperative to consolidate this phenomenon. Therefore, aims summarize numerous neuromodulatory mechanisms over past decade, covering (1) resistance and aerobic training via oscillations; (2) how mind-body affects activity cognitive functioning; (3) age-Related neurodegenerative disease rehabilitation oscillation mechanisms; (4) conclusion future direction. In conclusion, effect multifaceted process, seeks comprehensively examine existing studies' understanding regulates brain, providing more scientific theoretical foundation development personalized programs further research.

Language: Английский

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Different oscillatory mechanisms of dementia-related diseases with cognitive impairment in closed-eye state

NeuroImage, Journal Year: 2024, Volume and Issue: unknown, P. 120945 - 120945

Published: Nov. 1, 2024

Language: Английский

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The neuromechanical of Beta-band corticomuscular coupling within the human motor system

Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: Aug. 15, 2024

Beta-band activity in the sensorimotor cortex is considered a potential biomarker for evaluating motor functions. The intricate connection between brain and muscle (corticomuscular coherence), especially beta band, was found to be modulated by multiple demands. This coherence also showed abnormality motion-related disorders. However, although there has been substantial accumulation of experimental evidence, neural mechanisms underlie corticomuscular coupling band are not yet fully clear, some still matter controversy. In this review, we summarized findings on impact conditions (sports, exercise training, injury recovery, human functional restoration, neurodegenerative diseases, age-related changes, cognitive functions, pain fatigue, clinical applications), pointed out several future directions scientific questions currently unsolved. conclusion, an in-depth study only elucidates control but offers new insights methodologies diagnosis treatment rehabilitation related Understanding these can lead personalized neuromodulation strategies real-time neurofeedback systems, optimizing interventions based individual neurophysiological profiles. approach significantly improve therapeutic outcomes athletic performance addressing unique needs each individual.

Language: Английский

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Shared oscillatory mechanisms of alpha-band activity in prefrontal regions in eyes open and closed state using a portable EEG acquisition device

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 4, 2024

Alpha oscillations are associated with various psychiatric disorders, many studies focusing on the prefrontal cortex, where transcranial alternating current stimulation (TACS) is applied in alpha frequency band. This approach often involves selecting individualized frequencies to resonate their endogenous oscillations. While strong (8–13 Hz) typically induced when eyes closed, they can also occur during resting state open. However, it remains unclear whether these share a common neural generation mechanism. Exploring which of more suitable as stable peak question significant interest. Therefore, systematically study this issue, we specifically collected resting-state electroencephalographic (EEG) data from region 40 individuals, under both eyes-open and closed- eye conditions, multiple follow-ups extending up nine months. Through spectral analysis each person's entire dataset averaging results, observed positive correlation between alpha-band power eyes-closed states, terms absolute relative power. Further revealed that was primarily contributed by periodic activity within Upon modelling oscillatory components, discovered distinct differences characteristics-such number sub-oscillations state. Our first explored relationship cortex identifying shared part mechanism some mechanisms unique

Language: Английский

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