Schizophrenia is characterized as a neurodevelopmental disorder¹ of distributed brain dysconnectivity,² emerging from complex biological alterations that affect large-scale neural systems.³ Its symptoms are correspondingly pervasive,⁴ leading to lifelong disability for most patients⁵ and profound economic consequences. Understanding neural disturbances in schizophrenia constitutes a critical research goal that necessitates identification of pathophysiologic mechanisms and biomarkers that aid risk prediction. Growing sophistication in noninvasive neuroimaging offers a way to characterize large-scale neural system disturbances in psychiatric illness^6-8 by studying low-frequency fluctuations in the blood oxygenation level–dependent (BOLD) signal at rest⁷ (ie, via resting-state functional connectivity magnetic resonance imaging [rs-fcMRI]). This technique is increasingly applied to the study of neuropsychiatric conditions given its brief acquisition time, cost-effectiveness, and reproducibility^6,9 based on the hypothesis that conditions such as schizophrenia are brain disorders that affect exchange of information across large-scale neural networks.