Neural mechanisms of spatial navigation in ASD and TD children: insights from EEG microstate and functional connectivity analysis DOI Creative Commons
Yao Wang, Jianing Wang, Chin‐Song Lu

et al.

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

Multimodal Morphometric Similarity Network Analysis of Autism Spectrum Disorder DOI Creative Commons
Antonio Del Casale, Darvin Shehu, Maria Camilla Rossi‐Espagnet

et al.

Brain Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 247 - 247

Published: Feb. 26, 2025

Background: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by persistent difficulties in social interaction, communication, and repetitive behaviors. Neuroimaging studies have revealed structural functional neural changes individuals with ASD compared to healthy subjects. Objectives: This study aimed investigate brain network connectivity using Morphometric Similarity Network (MSN) analysis. Methods: Data from the Brain Imaging Exchange (ABIDE) were analyzed, comprising 597 644 controls. Structural was assessed cortical morphometric features. Global regional indices, including density index, node degree, strength, clustering coefficients, evaluated. Results: Among global when threshold value of 0.4, patients HCs showed lower (p = 0.041) higher negative 0.0051) coefficients. For bilateral superior frontal cortices degree (left hemisphere: p 0.014; right 0.0038) strength (left: 0.017; right: 0.018). Additionally, they coefficients (left, 0.0088; right, 0.0056) pars orbitalis 0.016; 0.0006), as well positive pole 0.03; 0.044). Conclusions: These findings highlight significant alterations both organization ASD, which may contribute disorder’s cognitive behavioral manifestations. Future are needed pathophysiological mechanisms underlying these changes, inform development more targeted individualized therapeutic interventions for ASD.

Language: Английский

Citations

0
Neural mechanisms of spatial navigation in ASD and TD children: insights from EEG microstate and functional connectivity analysis DOI Creative Commons
Yao Wang, Jianing Wang, Chin‐Song Lu

et al.

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