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

Xu Hongwei

et al.

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Journal Year: 2023, Volume and Issue: 40, P. 2527 - 2527

Published: Dec. 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.

Language: Английский

Current State of EEG/ERP Microstate Research DOI Creative Commons
Christoph M. Michel, Lucie Bréchet, Bastian Schiller

et al.

Brain Topography, Journal Year: 2024, Volume and Issue: 37(2), P. 169 - 180

Published: Feb. 13, 2024

The analysis of EEG microstates for investigating rapid whole-brain network dynamics during rest and tasks has become a standard practice in the research community, leading to substantial increase publications across various affective, cognitive, social clinical neuroscience domains. Recognizing growing significance this analytical method, authors aim provide microstate community with comprehensive discussion on methodological standards, unresolved questions, functional relevance microstates. In August 2022, conference was hosted Bern, Switzerland, which brought together many researchers from 19 countries. During conference, gave scientific presentations engaged roundtable discussions aiming at establishing steps toward standardizing methods. Encouraged by conference's success, special issue launched Brain Topography compile current state-of-the-art research, encompassing advancements, experimental findings, applications. call submissions garnered 48 contributions worldwide, spanning reviews, meta-analyses, tutorials, studies. Following rigorous peer-review process, 33 papers were accepted whose findings we will comprehensively discuss Editorial.

Language: Английский

Citations

9
Treefrog‐inspired Flexible Electrode with High Permeability, stable Adhesion, and Robust Durability DOI
Tianxiang Lan, Hongmiao Tian, Xiaoliang Chen

et al.

Advanced Materials, Journal Year: 2024, Volume and Issue: 36(31)

Published: May 26, 2024

Abstract Long‐term continuous monitoring (LTCM) of physiological electrical signals is an effective means for detecting several cardiovascular diseases. However, the integrated challenges stable adhesion, low impedance, and robust durability under different skin conditions significantly hinder application flexible electrodes in LTCM. This paper proposes a structured electrode inspired by treefrog web, comprising dispersed pillars at bottom asymmetric cone holes top. Attachment structures with pillar improve contact stability (adhesion increases 2.79/13.16 times dry/wet compared to without structure). Improved permeable duct structure provides high permeability (12 cotton). Due adhesion permeability, electrode's 40 larger than commercial Ag/AgCl electrodes. The web‐like has great advantages durability, resulting prospects signal detection new design idea LTCM wearable dry

Language: Английский

Citations

8
Two-brain microstates: A novel hyperscanning-EEG method for quantifying task-driven inter-brain asymmetry DOI Creative Commons
Qianliang Li, Marius Zimmermann, Ivana Konvalinka

et al.

Journal of Neuroscience Methods, Journal Year: 2025, Volume and Issue: 416, P. 110355 - 110355

Published: Jan. 22, 2025

The neural mechanisms underlying real-time social interaction remain poorly understood. While hyperscanning has emerged as a popular method to better understand inter-brain mechanisms, methods underdeveloped, and primarily focused on synchronization (IBS). We developed novel approach employing two-brain EEG microstates, investigate during symmetric asymmetric interactive tasks. Microstates are quasi-stable configurations of brain activity that have been proposed represent basic building blocks for mental processing. Expanding the microstate methodology dyads interacting participants enables us moments synchronous activity. Conventional microstates fitted individuals were not related different conditions. However, modulated in observer-actor condition, compared all other conditions where had more task demands, same trend was observed follower-leader condition. This indicates differences resting state default-mode network interactions with Hyperscanning studies estimated IBS based functional connectivity measures. localized connections often hard interpret larger scale when multiple across brains found be important. Two-brain offer an alternative evaluate from large-scale global perspective, by quantifying task-driven states between individuals. present using including open-source code, which expands current hyperscanning-EEG measure potentially identify both interaction.

Language: Английский

Citations

1
Normative Temporal Dynamics of Resting EEG Microstates DOI
Anthony P. Zanesco

Brain Topography, Journal Year: 2023, Volume and Issue: 37(2), P. 243 - 264

Published: Sept. 13, 2023

Language: Английский

Citations

19
EEG Microstates in the Study of Attention‐Deficit Hyperactivity Disorder: A Review of Preliminary Evidence DOI Creative Commons

Cristina Berchio,

Samika S. Kumar,

Antonio Narzisi

et al.

Psychophysiology, Journal Year: 2025, Volume and Issue: 62(1)

Published: Jan. 1, 2025

ABSTRACT Attention‐deficit hyperactivity disorder (ADHD) is a neurobiological condition that affects both children and adults. Microstate (MS) analyses, data‐driven approach identifies stable patterns in EEG signals, offer valuable insights into the neurophysiological characteristics of ADHD. This review summarizes findings from 13 studies applied MS analyses to resting‐state task‐based brain activity individuals with Relevant research articles were retrieved electronic databases, including PubMed, Google Scholar, Web Science, PsychInfo, Scopus. The reviewed explore differences ADHD populations. Resting‐state consistently reported alterations organization, increased duration (MS‐D) changes temporal dynamics (MS‐C), potentially reflecting executive dysfunctions delayed maturation default mode network. Additionally, B demonstrated promise distinguishing between subtypes based on visual network function. Task‐based event‐related potential (ERP) studies, using paradigms like continuous performance task (CPT) or Go–NoGo Task, identified abnormalities (i.e., N2, P2, P3, CNV) linked inhibition attentional resource allocation. Preliminary evidence suggests hold for control groups. integration machine learning techniques holds improving diagnostic accuracy identifying subtypes, while may also help monitor effects stimulant medications methylphenidate by tracking changes. However, this highlights need more standardized methodologies enhance generalizability replicability findings. These efforts will ultimately contribute deeper understanding mechanisms underlie

Language: Английский

Citations

0
Evaluating Brain Activity in Patients With Chronic Disorders of Consciousness After Traumatic Brain Injury Using EEG Microstate Analysis During Hyperbaric Oxygen Therapy DOI Creative Commons
Long Xu, Jiameng Wang, Cong Wang

et al.

CNS Neuroscience & Therapeutics, Journal Year: 2025, Volume and Issue: 31(1)

Published: Jan. 1, 2025

ABSTRACT Background Hyperbaric oxygen (HBO) therapy is an efficacious intervention for patients with prolonged disorders of consciousness (pDOC). Electroencephalographic (EEG) microstate analysis can provide assessment the global state brain. Currently, misdiagnosis rate consciousness‐level assessments in pDOC high. Therefore, we aimed to assess levels and outcomes by analyzing changes EEG signals during HBO therapy. Methods data were collected from 32 traumatic brain injury before after 20 min obtained sessions. Modified k‐means clustering was used segment into microstates. A paired sample t test compare characteristics Results The duration, occurrence, coverage D significantly increased minimally conscious (MCS) group Significant increases same parameters observed among unresponsive wakefulness group. Furthermore, greater improvements Coma Recovery Scale‐Revised scores (i.e., more than three points) showed significant D. Both MCS improvement presented Conclusions Microstate may be associated recovery patients. This study verified safety feasibility real‐time pDOC. serve as a complement electroencephalographic indices useful predicting levels.

Language: Английский

Citations

0
A comparative study of EEG microstate dynamics during happy and sad music videos DOI Creative Commons
Ashish Gupta,

Chandan Kumar Srivastava,

Braj Bhushan

et al.

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

Published: Feb. 6, 2025

EEG microstates offer a unique window into the dynamics of emotional experiences. This study delved responses happiness and sadness triggered by music videos, employing microstate analysis eLoreta source-level investigation in alpha band. The results showed that regardless gender, participants during happy video significantly upregulated class D downregulated C microstate, leading to enhanced global explained variance (GEV), coverage, occurrence, duration, field power (GFP) for D. Conversely, sad had opposite effect. revealed state, there was CSD central parietal regions across both genders diminished functional connectivity precuneus female compared state. Class are linked attention mind-wandering, respectively. findings suggest (1) increased activity could explain heightened attentiveness observed music, (2) mind wandering music. Additionally, exhibited higher mean occurrence than males, state

Language: Английский

Citations

0
Review of Experience in the Use of Event-Related Potentials in Studies of the Implicit Component of Cognitive Biases DOI

M. V. Yatsenko,

И. В. Брак, Egor Artemenko

et al.

Neuroscience and Behavioral Physiology, Journal Year: 2025, Volume and Issue: unknown

Published: March 7, 2025

Language: Английский

Citations

0
Brain oscillatory dynamics during discriminative vs CT-optimal touch DOI
Ana Rita Pereira, Marcia Fernanda da-Silva, A. Ribeiro-Carreira

et al.

Biological Psychology, Journal Year: 2025, Volume and Issue: unknown, P. 109018 - 109018

Published: March 1, 2025

Language: Английский

Citations

0
Stimulation Parameters Recruit Distinct Cortico-Cortical Pathways: Insights from Microstate Analysis on TMS-Evoked Potentials DOI Creative Commons
Delia Lucarelli, Giacomo Guidali, Dominika Šulcová

et al.

Brain Topography, Journal Year: 2025, Volume and Issue: 38(3)

Published: March 28, 2025

Abstract Transcranial magnetic stimulation (TMS)-evoked potentials (TEPs) represent an innovative measure for examining brain connectivity and developing biomarkers of psychiatric conditions. Minimizing TEP variability across studies participants, which may stem from methodological choices, is therefore vital. By combining classic peak analysis microstate investigation, we tested how TMS pulse waveform current direction affect cortico-cortical circuit engagement when targeting the primary motor cortex (M1). We aim to disentangle whether changing these parameters affects degree activation same neural circuitry or lead changes in pathways through induced spreads. Thirty-two healthy participants underwent a TMS-EEG experiment (monophasic, biphasic) (posterior-anterior, anterior-posterior, latero-medial) were manipulated. assessed latency amplitude M1-TEP components employed analyses test differences topographies. Results revealed that strongly influenced components’ but had weaker role over their latencies. Microstate showed monophasic stimulations changed pattern evoked microstates at early latencies, as well duration global field power. This study shows pulses modulate cortical sources contributing signals, activating populations paths more selectively. Biphasic reduces associated with be better suited blind anatomical information.

Language: Английский

Citations

0