ePoster · Psychiatry
Structural covariance & graph-learning for the individualized classification of schizophrenia patients
Clara Vetter · Neuromatch 5
Wed, Sep 28, 2022
Schizophrenia is considered to be a complex illness with multiple pathways contributing to its clinical phenotype and is argued to be a disorder of disrupted brain network organization. Structural covariance in schizophrenia indicates a system-level brain maturation disruption overlapping with patterns of disturbed functional connectivity. Structural covariance networks are typically computed at the group-level, which prevents individualized inferences. To advance precision medicine of schizophrenia, a reliable mapping of brain system-level heterogeneity at the subject-level is critical. Here,