Altered intra- and inter-network connectivity in autism spectrum disorder.
Aging (Albany NY)
; 16(11): 10004-10015, 2024 06 10.
Article
en En
| MEDLINE
| ID: mdl-38862259
ABSTRACT
OBJECTIVE:
A neurodevelopmental illness termed as the autism spectrum disorder (ASD) is described by social interaction impairments. Previous studies employing resting-state functional imaging (rs-fMRI) identified both hyperconnectivity and hypoconnectivity patterns in ASD people. However, specific patterns of connectivity within and between networks linked to ASD remain largely unexplored.METHODS:
We utilized a meticulously selected subset of high-quality data, comprising 45 individuals diagnosed with ASD and 47 HCs, obtained from the ABIDE dataset. The pre-processed rs-fMRI time series signals were partitioned into ninety regions of interest. We focused on eight intrinsic connectivity networks and further performed intra- and inter-network analysis. Finally, support vector machine was used to discriminate ASD from HC.RESULTS:
Through different sparsities, ASD exhibited significantly decreased intra-network connectivity within default mode network and dorsal attention network, increased connectivity between limbic network and subcortical network, and decreased connectivity between default mode network and limbic network. Using the classifier trained on altered intra- and inter-network connectivity, multivariate pattern analyses classified the ASD from HC with 71.74% accuracy, 70.21% specificity and 75.56% sensitivity in 10% sparsity of functional connectivity.CONCLUSIONS:
ASD showed characteristic reorganization of the brain networks and this provided new insight into the underlying process of the functional connectome dysfunction in ASD.Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Encéfalo
/
Imagen por Resonancia Magnética
/
Trastorno del Espectro Autista
Límite:
Adolescent
/
Adult
/
Female
/
Humans
/
Male
Idioma:
En
Revista:
Aging (Albany NY)
Asunto de la revista:
GERIATRIA
Año:
2024
Tipo del documento:
Article
País de afiliación:
China