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Fig. 1 | Molecular Autism

Fig. 1

From: Developmental prediction modeling based on diffusion tensor imaging uncovering age-dependent heterogeneity in early childhood autistic brain

Fig. 1

Data analysis flowchart. 1 DTI was pre-processed following the common FSL pipeline, creating FA, MD, AD and RD map of each participant. 2 Developmental prediction modeling was established by SVR using TDC dataset. For each autistic child, WM atypical development index was calculated. 3 The WM atypical development index matrix of autistic dataset was used as features in cluster analysis to investigate the age-dependent heterogeneity. 4 Subsequent analyses investigated the difference in WM atypical development index and autistic trait between developmental stages, and compared the difference of each developmental stage compared to TDC. SVR, support vector regression; TDC, typically developing children; WM, white matter

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Molecular Autism

ISSN: 2040-2392