AIMC Topic: Psychotic Disorders
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From resting-state functional hippocampal centrality to functional outcome: An extended neurocognitive model of psychosis.
Psychiatry research
Aug 1, 2025
BACKGROUND: We previously proposed a neurocognitive model of psychosis in which reduced morphometric hippocampal-cortical connectivity precedes impaired episodic memory, social cognition, negative symptoms, and functional outcome. We provided support...
Cortical myelin mapping in antipsychotic medication-naïve, first-episode psychosis patients.
Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Aug 1, 2025
While white matter myelin primarily functions to accelerate conduction velocity and has been extensively studied in schizophrenia-spectrum disorders (SSD), less is known about the role of gray matter myelin in SSD. Cortical myelination occurs mostly ...
Prediction of remission of pharmacologically treated psychotic depression: A machine learning approach.
Journal of affective disorders
Jul 15, 2025
BACKGROUND: The combination of antidepressant and antipsychotic medication is an effective treatment for major depressive disorder with psychotic features ('psychotic depression'). The present study aims to identify sociodemographic and clinical pred...
Machine Learning
Female
Aged
Aged, 80 and over
Male
Middle Aged
Depressive Disorder, Major
Young Adult
Proportional Hazards Models
Adult
Antidepressive Agents
Cost of Illness
Sertraline
Olanzapine
Humans
Predictive Learning Models
Adolescent
Treatment Outcome
Regression Analysis
Remission Induction
Psychotic Disorders
Benzodiazepines
Sociodemographic Factors
Drug Therapy, Combination
Antipsychotic Agents
Brain Fractal Dimension and Machine Learning can predict first-episode psychosis and risk for transition to psychosis.
Computers in biology and medicine
Jul 1, 2025
Although there are notable structural abnormalities in the brain associated with psychotic diseases, it is still unclear how these abnormalities relate to clinical presentation. However, the fractal dimension (FD), which offers details on the complex...
Phenomenological psychopathology meets machine learning: A multicentric retrospective study (Mu.St.A.R.D.) targeting the role of Aberrant Salience assessment in psychosis detection.
Schizophrenia research
Jul 1, 2025
BACKGROUND: The Aberrant Salience (AS) model conceptualizes psychosis onset as the altered attribution of salience to neutral stimuli. The Aberrant Salience Inventory (ASI), a psychometric tool, measures this phenomenon. This study utilized a multi-c...
Evaluating natural language processing derived linguistic features associated with current suicidal ideation, past attempts, and future suicidal behavior.
Journal of psychiatric research
Jul 1, 2025
BACKGROUND: People with psychosis have a higher suicide risk than the general population. Natural language processing (NLP) has been used to understand communication in psychosis and suicide risk prediction, but not to predict future suicidal behavio...
A Pilot Analysis Investigating the Use of AI in Malingering.
The journal of the American Academy of Psychiatry and the Law
Jun 10, 2025
Generative artificial intelligence (AI), with its increasing ubiquity and power, will likely transform forensic psychiatry, sparking both advances and new challenges for the field. A possible consequence of the technology is that it will be used to a...
Personalized prediction of negative affect in individuals with serious mental illness followed using long-term multimodal mobile phenotyping.
Translational psychiatry
May 19, 2025
Heightened negative affect is a core feature of serious mental illness. Over 90% of American adults own a smartphone, equipped with an array of sensors which can continuously and unobtrusively measure behaviors (e.g., activity levels, location, and p...
Eye Movement Characteristics for Predicting a Transition to Psychosis: Longitudinal Changes and Implications.
Schizophrenia bulletin
Mar 14, 2025
BACKGROUND AND HYPOTHESIS: Substantive inquiry into the predictive power of eye movement (EM) features for clinical high-risk (CHR) conversion and their longitudinal trajectories is currently sparse. This study aimed to investigate the efficiency of ...
Deconstructing Cognitive Impairment in Psychosis With a Machine Learning Approach.
JAMA psychiatry
Jan 1, 2025
IMPORTANCE: Cognitive functioning is associated with various factors, such as age, sex, education, and childhood adversity, and is impaired in people with psychosis. In addition to specific effects of the disorder, cognitive impairments may reflect a...
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