We examined dFNC of 53 spatially independent networks extracted using independent component analysis and applied k-means clustering to windowed dFNC matrices, identifying four unique whole-brain dFNC states. ![]() Young adults diagnosed with ASD ( n = 42), SZ ( n = 41), or TD ( n = 55) completed three functional MRI runs, viewing social–emotional videos with happy, sad, or neutral content. We compared patients’ dynamic functional network connectivity (dFNC) state engagement with typically developed (TD) individuals during social–emotional processing after initially characterizing such dynamics in TD. Autism spectrum disorder (ASD) and schizophrenia (SZ) are separate clinical entities but share deficits in social–emotional processing and static neural functional connectivity patterns.
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