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

Frontiers in Neuroscience, Год журнала: 2025, Номер 18

Опубликована: Янв. 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.

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

Journal of Medical Internet Research, Год журнала: 2025, Номер 27, С. e67188 - e67188

Опубликована: Март 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.

Язык: Английский

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High alpha-band activity of prefrontal cortex contributes to the significant neural alterations in the initial two-month phase of a romantic relationship

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Янв. 17, 2025

Romantic relationships are integral to human experience, with most individuals encountering them at some point in their lives. The neural mechanisms of romantic have gradually gained attention. However, existing studies mainly focused on the cross-sectional level, and longitudinal research is not sufficient, especially regarding early stages when couples first enter a relationship. brain's transition from normal state honeymoon phase love remains poorly understood. To answer this question, we, authors, used ourselves as subjects; after confirming our relationship, we employed portable electroencephalography (EEG) record activity prefrontal cortex during resting states (both eyes open closed). Data collection occurred irregularly over period around two months, resulting 13 EEG data trials per individual. We found that there was consistent decrease high alpha band under closed-eye for both us two-month period, suggesting potential correlation changes stage Further analysis revealed driven by periodic components rather than non-periodic components. This study reveal significant change oscillatory couple initial months which will further impact understanding mechanism sub-oscillations application emotions process.

Язык: Английский

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Distinguishing major depressive disorder from bipolar disorder using alpha-band activity in resting-state electroencephalogram

Journal of Affective Disorders, Год журнала: 2025, Номер 376, С. 333 - 340

Опубликована: Фев. 15, 2025

Язык: Английский

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Personalized brain models link cognitive decline progression to underlying synaptic and connectivity degeneration

Alzheimer s Research & Therapy, Год журнала: 2025, Номер 17(1)

Опубликована: Апрель 5, 2025

Cognitive decline is a condition affecting almost one sixth of the elder population and widely regarded as first manifestations Alzheimer's disease. Despite extensive body knowledge on condition, there no clear consensus structural defects neurodegeneration processes determining cognitive evolution. Here, we introduce Brain Network Model (BNM) simulating effects neural activity during processing. The model incorporates two key parameters accounting for distinct pathological mechanisms: synaptic degeneration, primarily leading to hyperexcitation, brain disconnection. Through parameter optimization, successfully replicated individual electroencephalography (EEG) responses recorded task execution from 145 participants spanning different stages decline. cohort included healthy controls, patients with subjective (SCD), those mild impairment (MCI) Alzheimer type. inversion, generated personalized BNMs each participant based EEG recordings. These models revealed network configurations corresponding patient's virtual levels directly proportional severity Strikingly, uncovered neurodegeneration-driven phase transition regimes underlying execution. On either side this transition, increasing degeneration induced changes in that closely mirrored experimental observations across stages. This enabled link hyperexcitation severity. Furthermore, pinpointed posterior cingulum fiber driver transition. Our findings highlight potential account evolution while elucidating neurodegenerative mechanisms. approach provides novel framework understanding how functional alterations contribute deterioration along continuum.

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

Язык: Английский

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