[HTML][HTML] Individual differences in computational psychiatry: A review of current challenges
Bringing precision to the understanding and treatment of mental disorders requires
instruments for studying clinically relevant individual differences. One promising approach is …
instruments for studying clinically relevant individual differences. One promising approach is …
[HTML][HTML] Belief updating in psychosis, depression and anxiety disorders: A systematic review across computational modelling approaches
Alterations in belief updating are proposed to underpin symptoms of psychiatric illness,
including psychosis, depression, and anxiety. Key parameters underlying belief updating …
including psychosis, depression, and anxiety. Key parameters underlying belief updating …
Blocking D2/D3 dopamine receptors in male participants increases volatility of beliefs when learning to trust others
The ability to learn about other people is crucial for human social functioning. Dopamine has
been proposed to regulate the precision of beliefs, but direct behavioural evidence of this is …
been proposed to regulate the precision of beliefs, but direct behavioural evidence of this is …
A systematic review of performance-based assessment studies on cognitive biases in schizophrenia spectrum psychoses and clinical high-risk states: A summary of …
Cognitive models of psychosis have stimulated empirical studies on cognitive biases
involved in schizophrenia spectrum psychoses and their symptoms. This systematic review …
involved in schizophrenia spectrum psychoses and their symptoms. This systematic review …
[HTML][HTML] Altered perception of environmental volatility during social learning in emerging psychosis
Paranoid delusions or unfounded beliefs that others intend to deliberately cause harm are a
frequent and burdensome symptom in early psychosis, but their emergence and …
frequent and burdensome symptom in early psychosis, but their emergence and …
[HTML][HTML] Predictive utility of artificial intelligence on schizophrenia treatment outcomes: A systematic review and meta-analysis
Identifying optimal treatment approaches for schizophrenia is challenging due to varying
symptomatology and treatment responses. Artificial intelligence (AI) shows promise in …
symptomatology and treatment responses. Artificial intelligence (AI) shows promise in …
Interactions between the cortical midline structures and sensorimotor network track maladaptive self-beliefs in clinical high risk for psychosis
Individuals at clinical high risk for psychosis (CHR) report a maladaptive self-concept—with
more negative and less positive self-beliefs—linked to clinical symptoms and functional …
more negative and less positive self-beliefs—linked to clinical symptoms and functional …
Schizophrenia research under the framework of predictive coding: body, language, and others
L Li, C Li - arXiv preprint arXiv:2309.06772, 2023 - arxiv.org
Although there have been so many studies on schizophrenia under the framework of
predictive coding, works focusing on treatment are very preliminary. A model-oriented …
predictive coding, works focusing on treatment are very preliminary. A model-oriented …
Individual differences in computational psychiatry: A review of current challenges
P Karvelis, M Paulus, A Diaconescu - 2022 - osf.io
Bringing precision to the understanding and treatment of mental disorders requires
instruments for studying clinically relevant individual differences. One promising approach is …
instruments for studying clinically relevant individual differences. One promising approach is …
[HTML][HTML] Can computational models help elucidate the link between complex trauma and hallucinations?
Recently, a number of predictive coding models have been proposed to account for post-
traumatic stress disorder (PTSD)'s symptomatology, including intrusions, flashbacks and …
traumatic stress disorder (PTSD)'s symptomatology, including intrusions, flashbacks and …