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

и другие.

Brain Sciences, Год журнала: 2025, Номер 15(3), С. 247 - 247

Опубликована: Фев. 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.

Язык: Английский

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

и другие.

Brain Sciences, Год журнала: 2025, Номер 15(3), С. 247 - 247

Опубликована: Фев. 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.

Язык: Английский

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