A Computational Neuroscience Perspective on the Shared Social Cognitive Deficits of Autism and Schizophrenia

Condition(s) studied

Study summary

This retrospective cohort study will examine shared neural mechanisms of social cognitive deficits in adults with autism spectrum disorder and adults with schizophrenia using existing clinical, behavioral, and neuroimaging data from National Taiwan University Hospital cohort studies. The study will include adults with autism spectrum disorder, adults with schizophrenia, and healthy control participants.

Resting-state functional magnetic resonance imaging (MRI) and structural MRI data will be analyzed to estimate default mode network functional transition indices. These indices will be compared between diagnostic groups and examined in association with social cognitive and psychiatric symptom measures, including the Social Responsiveness Scale (SRS) and the Positive and Negative Syndrome Scale (PANSS) when applicable. No new participants will be recruited, and no intervention will be administered. The study will use previously collected data from 80 adults with autism spectrum disorder, 79 adults with schizophrenia, and 108 healthy controls.

Eligibility

Primary outcome measure(s)

• Default Mode Network mean functional state transition velocity, DMNμV — Baseline / retrospective assessment from pre-existing resting-state fMRI data
  DMNμV will be derived from resting-state functional MRI data. Multi-voxel activity patterns within the default mode network will be projected into a two-dimensional state space using multidimensional scaling. The Euclidean distance between consecutive functional states will be calculated, and the mean transition velocity across time points will be used as an index of default mode network functional state stability. Lower DMNμV indicates slower state transition and higher functional state stability.

Trial sites (1)

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