Key result
Patients with 22q11.2 deletion syndrome exhibited shorter activation in cognitive brain networks and longer activation in emotion processing networks compared to healthy controls.
Cross-Sectional (n=163)
Dynamic brain network activation patterns may serve as clinically relevant imaging markers of psychosis vulnerability and anxiety in 22q11.2 deletion syndrome.
May identify network biomarkers for psychosis risk in 22q11DS; leaves open clinical utility pending validation studies.
Prodromal positive psychotic symptoms and anxiety are two strong risk factors for schizophrenia in 22q11.2 deletion syndrome (22q11DS). The analysis of large-scale brain network dynamics during rest is promising to investigate aberrant brain function and identify potentially more reliable biomarkers. We retrieved and examined dynamics of large-scale functional brain networks using innovation-driven co-activation patterns (iCAPs) and probed into functional signatures of prodromal psychotic symptoms and anxiety. Patients with 22q11DS had shorter activation in cognitive brain networks and longer activation in emotion processing networks. Functional signatures of prodromal psychotic symptoms confirmed an implication of cingulo-prefrontal salience network activation duration and coupling. Functional signatures of anxiety un-covered an implication of amygdala activation and coupling, indicating differential roles of dorsal and ventral sub-divisions of anterior cingulate and medial prefrontal cortices. These results confirm that the dynamic nature of brain network activation contains essential function to develop clinically relevant imaging markers of psychosis vulnerability.
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Zöller et al. (2019) conducted a cross-sectional in 22q11.2 deletion syndrome (n=163). 22q11.2 deletion syndrome vs. Healthy controls was evaluated on Duration of activation and coupling of large-scale functional brain networks (iCAPs). Patients with 22q11.2 deletion syndrome exhibited shorter activation in cognitive brain networks and longer activation in emotion processing networks compared to healthy controls.
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