Dysfunctional brain dynamics in Subjects with major depression: An EEG microstate spectral analysis DOI
Jianxiu Li, Yanrong Hao,

Xu Hongwei

и другие.

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Год журнала: 2023, Номер 40, С. 2527 - 2527

Опубликована: Дек. 5, 2023

Major depressive disorder (MDD) which is a widespread worldwide cause disruption in some brain functions and thus leads to network changes. An increasing number of clinical cognitive neuroscience studies have used broadband EEG microstate method assess the electrical activity large-scale cortical networks; however, topographic frequency patterns different categories MDD patients are not clear. In this study, spectra were analyzed using 5-min resting-state electroencephalography (EEG) data from 55 subjects (including 27 28 healthy controls) with variational empirical mode decomposition Hilbert-Huang transform. The results showed that D other microstates (A, C, E) display opposite patterns. Most specifically, beta band, marginal spectral energies A, E increased compared HCs, while energy was decreased. Meanwhile, we observed A C band positively correlated severity symptoms, suggesting alterations can serve as an important reference for disease progression. These confirm abnormalities beta-band patient provide new perspective exploring psychomotor function MDD.

Язык: Английский

Bidirectional control of generalized absence epilepsy networks via real-time direct depolarization of thalamocortical neurons DOI Creative Commons
Tatiana P. Morais,

Hannah L. Taylor,

Olivér Nagy

и другие.

Progress in Neurobiology, Год журнала: 2025, Номер unknown, С. 102774 - 102774

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

EEG microstates as an important marker of depression: A systematic review and meta-analysis DOI
Si Zhang, Aiping Chi,

Li-quan Gao

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Июль 12, 2024

Abstract This study conducts a literature search through databases such as PubMed, Web of Science, CNKI (China National Knowledge Infrastructure), and the Cochrane Library to collect case-control studies on microstates in patients with depression. Conducting bias risk assessment using Review Manager 5.4, meta-analysis is performed Stata 18.0 14.0 software. has been registered Prospero, CRD42024543793. Our research results suggest that increased duration frequency microstate A may serve potential biomarker for An increase parameter B also observed when individuals experience anxiety. The coverage C are closely related rumination levels. Abnormalities D among some depression indicate presence comorbid conditions overlapping mental disorders or attention executive function deficits. provides important insights into identifying symptoms etiology by examining differences between healthy individuals.

Язык: Английский

Процитировано

0

Selective Modulation of Fear Memory in Non‐Rapid Eye Movement Sleep DOI Creative Commons
Qi‐Yu Zheng, Yuhua Huang,

Changrui Mu

и другие.

Advanced Science, Год журнала: 2024, Номер 11(44)

Опубликована: Окт. 9, 2024

Abstract Sleep stabilizes memories for their consolidation, but how to modify specific fear memory during sleep remains unclear. Here, it is reported that using targeted reactivation (TMR) reactivate prior learning experience in non‐slow wave (NS) inhibits while TMR slow (SWS) enhances mice. Replaying conditioned stimulus (CS) affects spindle occurrence, leading the reduction or enhancement of oscillation‐spindle (SO‐spindle) coupling NS and SWS, respectively. Optogenetic inhibition pyramidal neurons frontal association cortex (FrA) abolishes behavioral effects NS‐TMR SWS‐TMR by modulating SO‐spindle coupling. Notably, calcium imaging L2/3 FrA shows CS SWS selectively activity previously activated conditioning (FC+ neurons), which significantly correlates with CS‐elicited power spectrum density. Intriguingly, these TMR‐induced changes FC+ further correlate mice freezing behavior, suggesting contributions consolidation memories. The findings indicate can weaken strengthen memory, correlation substages non‐rapid eye movement (NREM) sleep.

Язык: Английский

Процитировано

0

Abnormal cortical functional network and microstates alterations in depression: insights from effective connectivity and EEG microstates DOI
Jianxiu Li, Yanrong Hao,

Xu Hongwei

и другие.

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Год журнала: 2023, Номер 50, С. 2535 - 2542

Опубликована: Дек. 5, 2023

Background: Despite potential neural mechanism of depression being the object a thriving field, research alterations in brain functional connections is not entirely clear. In this context, we used source-level effective connectivity and microstate analysis to study resting-state activity depression.Methods: Resting-state electroencephalogram (EEG) data from 17 depressive subjects 19 controls were included. We applied multivariate autoregressive models combined independent component (MVARICA) generalized partial directed coherence (GPDC) analyze system (BFS) induced by depression. Further, characterized spatial organization temporal dynamics large-scale cortical activities was for disease understand network dynamics. Results: Compared with controls, had enhanced information flow frontal parietal alpha band. Especially, lobes respectively correspond dominant hub abnormally weaker stronger causal pathways patients addition, revealed that mean duration, occurrence rate, time coverage class D significantly lower compared controls. Meanwhile, preferred bilateral transitions between C Microstate may be associated frontoparietal dorsal attention network, findings reflects switching reorientation relevant occur more frequently depressed patients.Conclusions: Patients exhibited clear Notably, EEG might provide useful biomarkers deviant functions clinical researches

Язык: Английский

Процитировано

0

Dysfunctional brain dynamics in Subjects with major depression: An EEG microstate spectral analysis DOI
Jianxiu Li, Yanrong Hao,

Xu Hongwei

и другие.

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Год журнала: 2023, Номер 40, С. 2527 - 2527

Опубликована: Дек. 5, 2023

Major depressive disorder (MDD) which is a widespread worldwide cause disruption in some brain functions and thus leads to network changes. An increasing number of clinical cognitive neuroscience studies have used broadband EEG microstate method assess the electrical activity large-scale cortical networks; however, topographic frequency patterns different categories MDD patients are not clear. In this study, spectra were analyzed using 5-min resting-state electroencephalography (EEG) data from 55 subjects (including 27 28 healthy controls) with variational empirical mode decomposition Hilbert-Huang transform. The results showed that D other microstates (A, C, E) display opposite patterns. Most specifically, beta band, marginal spectral energies A, E increased compared HCs, while energy was decreased. Meanwhile, we observed A C band positively correlated severity symptoms, suggesting alterations can serve as an important reference for disease progression. These confirm abnormalities beta-band patient provide new perspective exploring psychomotor function MDD.

Язык: Английский

Процитировано

0