Approaching a network connectivity-driven classification of the psychosis continuum: a selective review and suggestions for future research

摘要: Brain changes in schizophrenia evolve along a dynamic trajectory, emerging before disease onset and proceeding with ongoing illness. Recent investigations have focused attention on functional brain interactions, experimental imaging studies supporting the disconnection hypothesis of schizophrenia. These revealed broad spectrum abnormalities connectivity patients, particularly for connections integrating frontal cortex. A critical point is that abnormalities, including altered resting state within fronto-parietal (FP) network, are already observed non-help-seeking individuals psychotic-like experiences. If we consider psychosis as continuum, experiences at lower psychotic patients upper ends, represent key population investigating validity putative biomarkers underlying psychosis. This paper selectively addresses role played by FP which includes chronic psychosis, early clinical high risk, genetic well general We first discuss structural among pathway each domain continuum. may provide basis us to gain an understanding subsequent connectivity. further indicate abnormal arise from glutamatergic disturbances this pathway, particular NMDA receptor-mediated plasticity. In second part propose some concepts research use network classification consistent recent efforts enhance data driving diagnosis psychiatric diseases.