Corticolimbic network perturbations in early psychosis: an arterial spin labelling and Ro15-4513 positron emission tomography study

BackgroundHippocampal hyperactivity in early psychosis may result from excitation-inhibition imbalance within corticolimbic regions. Preclinical evidence suggests that positive allosteric modulation of hippocampal inhibitory 5-{gamma}-aminobutyric acid receptors (5-GABAAR) attenuates hippocampal hyperactivity, striatal hyperdopaminergia, and psychosis-relevant behaviours. Here, we investigated whether hippocampal hyperactivity and 5-GABAAR network covariance are perturbed in people at clinical high risk for psychosis (CHR-P) and with first-episode psychosis (FEP). MethodTwenty-four individuals at CHR-P, 24 healthy controls (HC), and 10 FEP, underwent simultaneous PET-MRI to quantify regional cerebral blood flow (rCBF) with arterial spin labelling and 5-GABAAR availability with [11C]Ro15-4513 PET. Individual deviations in corticolimbic rCBF and 5-GABAAR covariance were calculated using a perturbation analysis approach based on a HC-derived reference. Permutation tests and Pearsons correlations assessed group differences and symptom relationships. ResultsFor rCBF, absolute deviations were greater at hippocampal edges (F=5.763, p=.006) in CHR-P (p=.016) and FEP (p=.002). For 5-GABAAR, absolute deviations did not differ from HC across the network (p=.145) or at hippocampal edges (p=.245). However, negative covariance deviations (reduced covariance vs HC) were greater for rCBF (F=4.006, p=.032) and 5-GABAAR across the network (F=6.265, p=.026), and for hippocampal edges for rCBF (F=4.471, p=.015; CHR-P) and 5-GABAAR (F=3.14, p=.047; CHR). In CHR-P, rCBF deviations correlated with positive symptoms (r=-.516, p=.001); in FEP, 5-GABAAR deviations correlated with general symptoms (r=.722, p=.018). No rCBF-5-GABAAR covariance correlations were observed. ConclusionsEarly psychosis involves alterations in corticolimbic network organization in both neural activity and 5-GABAAR availability, driven by negative deviations. Individualized covariance perturbation provides a promising approach for detecting network-level dysfunction psychosis.