aceDiagnostic classification of ASD improves with positively sparsified DTI inter-regional correlation and graph-theoretical artificial intelligence
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by impairments in social interaction and behavioral functioning. ASD diagnosis primarily relies on behavioral assessments and can vary across individuals. In this study, an ASD diagnostic model was developed using diffusion tensor imaging (DTI) derived inter-regional correlations, graph-theoretical analysis and artificial intelligence. Initially, the DTI data from 283 individuals (154 ASD and 129 typically developing) were pre…
An SVM trained on graph features from positively correlated white matter networks classified autism versus typically developing individuals with 90.47% average 5-fold accuracy, suggesting a more objective diagnostic aid.
Evidence
- Peer-reviewedNeuroscience2026-10-21
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Truvace Impact Record TRV-2026-2233, v1: “Diagnostic classification of ASD improves with positively sparsified DTI inter-regional correlation and graph-theoretical artificial intelligence.” Truvace, 2026-10-24. /record/TRV-2026-2233 (accessed at citation time). sha256 6d080ff8fc1baa00…
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