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Bharat B. Biswal

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Open access Aug 2026

Machine-learning classification of children and adolescents with ASD using resting-state frequency-specific intrinsic activity

Frequency-specific resting-state features, particularly local synchronization in the slow-4 band, capture developmental-stage-related variation within ASD, highlighting the potential of frequency-specific rs-fMRI metrics as candidate markers for characterizing neurodevelopmental stages in ASD.

Qi Huang, Sisi Jiang, Cheng Luo et al. · 0 citations