New brain connectivity biomarker offers accurate early diagnosis of autism spectrum disorder

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New brain connectivity biomarker offers accurate early diagnosis of autism spectrum disorder
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In a recent article published in Psychoradiology, researchers from Peking University and University of Electronic Science and Technology of China, identified specific alterations in brain structural connectivity that might act as an early diagnostic marker for autism spectrum disorder (ASD) in young children.

Flow chart of ASD identification framework. The pre-processed DTI FA map. Reconstructed whole-brain streamline fibers. Young children's brain atlas. Structural connection matrix for each participant. The individual structural connection network. All individual structural connection networks in ASD and TD groups. The structural connections and associated networks showing differences between ASD and TD groups.

By generating a connection matrix for each participant, the team discerned patterns distinguishing ASD from TD. Notably, 33 distinct structural connections, predominantly in the, exhibited increased Fractional Anisotropy in children with ASD. This enabled the classification of ASD from TD children with an impressive accuracy of 96.77% in the primary dataset.

Increased FA connections and networks in ASD compared to TD children. The 33 increased FA values of structural connections in ASD in circos plot. Abbreviations: L, left hemisphere; R, right hemisphere; FRO, frontal lobe; TEM, temporal lobe; PAR, parietal lobe; INS, insular lobe; LIM, limbic lobe; OCC, occipital lobe; SUB, subcortical nuclei; CERE, cerebellum; BS, brain stem. Locations of 33 connections on the cortical surface. Averaged FA value of 33 connections in ASD and TD groups.

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