DELETED, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 23, 2024
Language: Английский
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
Brain Topography, Journal Year: 2023, Volume and Issue: 37(2), P. 243 - 264
Published: Sept. 13, 2023
Language: Английский
Citations
19
Frontiers in Psychiatry, Journal Year: 2025, Volume and Issue: 16
Published: April 4, 2025
Introduction Autism Spectrum Disorder (ASD) is associated with atypical neural dynamics, affecting spatial navigation and information integration. EEG microstates functional connectivity (FC) are useful tools for investigating these differences. This study examines alterations in theta-band FC during map-reading tasks children ASD (n = 12) compared to typically developing (TD) peers 12), aiming uncover mechanisms underlying processing deficits ASD. Methods data were collected from TD controls aged 6-10 years a task. Microstate analysis quantified the temporal dynamics of four canonical (A, B, C, D). Theta-band (4-8 Hz) was analyzed assess interregional communication Statistical tests identified group differences microstate metrics patterns. Results Children showed significant controls. The reduced occurrence, but longer duration greater coverage A, indicating abnormal brain activity. For displayed shorter durations lower coverage, suggesting impairments cognitive control. In exhibited duration, steady-state distribution, pointing disruptions attention. Conversely, D increased occurrence group, reflecting attention allocation. revealed significantly key networks involved navigation, particularly between fronto-parietal occipito-temporal regions. suggests disrupted integration processes Discussion patterns highlight These findings suggest that analyses could serve as biomarkers understanding visual ASD, related perceptual abnormalities. research provides basis individualized rehabilitation plans using qEEG guide neuromodulation techniques, such transcranial direct current stimulation (tDCS). Future studies should investigate longitudinal changes intervention effects on dynamics.
Language: Английский
Citations
0
Human Brain Mapping, Journal Year: 2023, Volume and Issue: 44(18), P. 6484 - 6498
Published: Oct. 24, 2023
Abstract Electroencephalographic (EEG) microstates can provide a unique window into the temporal dynamics of large‐scale brain networks across brief (millisecond) timescales. Here, we analysed fundamental features extracted from broadband EEG signal in large ( N = 139) cohort children spanning early‐to‐middle childhood (4–12 years age). Linear regression models were used to examine if participants' age and biological sex could predict parameters GEV , duration coverage occurrence for five microstate classes (A–E) both eyes‐closed eyes‐open resting‐state recordings. We further explored associations between these posterior alpha power after removal 1/ f ‐like aperiodic signal. The obtained our neurodevelopmental recordings broadly replicated four canonical (A D) frequently reported adults, with addition more recently established class E. Biological served as significant predictor (A, C, D, E). In addition, E found be positively associated recordings, while C exhibited band spectral power. Together, findings highlight influence on functional during childhood, extending understanding neural this important period development.
Language: Английский
Citations
10
Progress in Neuro-Psychopharmacology and Biological Psychiatry, Journal Year: 2024, Volume and Issue: 131, P. 110958 - 110958
Published: Feb. 2, 2024
Language: Английский
Citations
3
Frontiers in Psychiatry, Journal Year: 2025, Volume and Issue: 16
Published: April 22, 2025
Electroencephalographic (EEG) microstates, as quasi-stable scalp EEG spatial patterns, are characterized by their high temporal resolution, making them a potentially powerful approach for studying the function of large-scale brain networks. A substantial body research has demonstrated that abnormalities in or structure networks closely related to many characteristics autism spectrum disorder (ASD). Investigating microstate features individuals with can help reveal nature autism. To date, numerous studies have observed unique resting-state patterns However, results these not been consistent. Therefore, present study aims assess differences parameters between ASD and non-autistic groups through meta-analysis explore sources heterogeneity. This was preregistered PROSPERO (CRD42024599897) followed PRISMA guidelines. Studies English comparing Non-autistic were retrieved database search October 20, 2024. The then conducted using RevMan5.2. Pooled expressed standardized mean difference (SMD). Heterogeneity (I²) publication bias assessed Stata15.0. Seven enrolling 194 included, four deemed quality three moderate according risk assessment. Microstate B duration coverage significantly greater pooled group (duration SMD=0.83, 95%CI: 0.17-1.5; SMD=0.54, 0.18-0.90), but heterogeneity could be excluded. C occurrence frequency also (SMD= -0.61, -1.08 -0.15), significant. Sensitivity analysis revealed only robust. Subgroup suggested age main source coverage. Results affected Egger's test. Future on must control an important cofounding variable. PROSPERO, identifier CRD42024599897.
Language: Английский
Citations
0
Psychophysiology, Journal Year: 2024, Volume and Issue: 61(8)
Published: April 9, 2024
Abstract Oxytocin (OXT) modulates social behaviors. However, the administration of exogenous OXT in humans produces inconsistent behavioral changes, affecting future consideration as a treatment for autism and other disorders with symptoms. Inter‐individual variability functioning traits might play key role how changes brain activity and, therefore, behavior. Here, we investigated if inter‐individual dictate single‐dose intranasal (IN‐OXT) spontaneous neural during eyes‐open resting state. We used double‐blinded, randomized, placebo‐controlled, cross‐over design on 30 typically developing young adult men to investigate dynamics EEG microstates corresponding defined networks. confirmed previous reports that, at group level, IN‐OXT increases representation attention salience microstates. Furthermore, identified decreased associated default mode network. Using multivariate partial least square statistical analysis, found that IN‐OXT‐induced microstate specific spectral bands. Correlation analysis further revealed higher functioning, more increased appearance visual network‐associated microstate, suppressed network‐related microstate. The lower effects report support hypothesis regulates behavior by enhancing salience. Moreover, our findings indicate modulate responses could partially explain effects.
Language: Английский
Citations
1
Journal of Autism and Developmental Disorders, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 28, 2024
Language: Английский
Citations
1
Biological Psychiatry Cognitive Neuroscience and Neuroimaging, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 1, 2024
Language: Английский
Citations
1
DELETED, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 23, 2024
Language: Английский
Citations
0