Resolving heterogeneity in dynamics of synchronization stability within the salience network in autism spectrum disorder.
Prog Neuropsychopharmacol Biol Psychiatry
; 131: 110956, 2024 Apr 20.
Article
in En
| MEDLINE
| ID: mdl-38296155
ABSTRACT
BACKGROUND:
Heterogeneity in resting-state functional connectivity (FC) are one of the characteristics of autism spectrum disorder (ASD). Traditional resting-state FC primarily focuses on linear correlations, ignoring the nonlinear properties involved in synchronization between networks or brain regions.METHODS:
In the present study, the cross-recurrence quantification analysis, a nonlinear method based on dynamical systems, was utilized to quantify the synchronization stability between brain regions within the salience network (SN) of ASD. Using the resting-state functional magnetic resonance imaging data of 207 children (ASD/typically-developing controls (TC) 105/102) in Autism Brain Imaging Data Exchange database, we analyzed the laminarity and trapping time differences of the synchronization stability between the ASD subtype derived by a K-means clustering analysis and the TC group, and examined the relationship between synchronization stability and the severity of clinical symptoms of the ASD subtypes.RESULTS:
Based on the synchronization stability within the SN of ASD, we identified two subtypes that showed opposite changes in synchronization stability relative to the TC group. In addition, the synchronization stability of ASD subtypes 1 and 2 can predict the social interaction and communication impairments, respectively.CONCLUSIONS:
These findings reveal that ASD subgroups with different patterns of synchronization stability within the SN appear distinct clinical symptoms, and highlight the importance of exploring the potential neural mechanism of ASD from a nonlinear perspective.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Autistic Disorder
/
Autism Spectrum Disorder
Type of study:
Prognostic_studies
Limits:
Child
/
Humans
Language:
En
Journal:
Prog Neuropsychopharmacol Biol Psychiatry
Year:
2024
Document type:
Article