The article demonstrates for the first time that a brain-inspired spiking neural network (SNN) architecture can be used not only to learn spatio-temporal data, but also to extract fuzzy …
Psychosis research has traditionally focused on vulnerability and the detrimental outcomes of risk exposure. However, there is substantial variability in psychological and functional …
Finding predictors of social and cognitive impairment in non-transition Ultra-High-Risk individuals (UHR) is critical in prognosis and planning of potential personalised intervention …
Introduction: Childhood maltreatment is associated with both reduced cognitive functioning and the development of psychotic symptoms. However, the specific relationship between …
Background The peripheral blood is an attractive source of prognostic biomarkers for psychosis conversion. There is limited research on the transcriptomic changes associated …
The current study examined whether impairments in cognitive and neural factors at baseline (ages 9–10) predict initial levels or changes in psychotic-like experiences (PLEs) and …
Abstract Background and Hypothesis Processing speed dysfunction is a core feature of psychosis and predictive of conversion in individuals at clinical high risk (CHR) for …
Schizophrenia (SCZ) is a neurodevelopmental disorder with prominent and intrusive experiences of positive (eg, hallucinations) and negative symptoms (eg, social withdrawal) …
Schizophrenia (SZ) is a complex neuropsychiatric disorder in which impairments in cognitive function strongly predict level of disability. Although the aetiology of SZ remains only partly …