AIMC Topic: Psychotic Disorders

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Towards Precision Medicine in Psychosis: Benefits and Challenges of Multimodal Multicenter Studies-PSYSCAN: Translating Neuroimaging Findings From Research into Clinical Practice.

Schizophrenia bulletin Feb 26, 2020
In the last 2 decades, several neuroimaging studies investigated brain abnormalities associated with the early stages of psychosis in the hope that these could aid the prediction of onset and clinical outcome. Despite advancements in the field, neuro...
Neuroimaging Longitudinal Studies Multicenter Studies as Topic Psychotic Disorders Research Design Precision Medicine Humans Machine Learning
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Using Machine Learning and Structural Neuroimaging to Detect First Episode Psychosis: Reconsidering the Evidence.

Schizophrenia bulletin Jan 4, 2020
Despite the high level of interest in the use of machine learning (ML) and neuroimaging to detect psychosis at the individual level, the reliability of the findings is unclear due to potential methodological issues that may have inflated the existing...
Female Reproducibility of Results Young Adult Adult Humans Machine Learning Image Interpretation, Computer-Assisted Neuroimaging Datasets as Topic Gray Matter Pattern Recognition, Automated Male Cerebral Cortex Deep Learning Psychotic Disorders
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Systematic Review of Digital Phenotyping and Machine Learning in Psychosis Spectrum Illnesses.

Harvard review of psychiatry Jan 1, 2020
BACKGROUND: Digital phenotyping is the use of data from smartphones and wearables collected in situ for capturing a digital expression of human behaviors. Digital phenotyping techniques can be used to analyze both passively (e.g., sensor) and activel...
Humans Machine Learning Phenotype Psychotic Disorders Smartphone Wearable Electronic Devices Data Collection Bipolar Disorder Schizophrenia
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Annotating Temporal Relations to Determine the Onset of Psychosis Symptoms.

Studies in health technology and informatics Aug 21, 2019
For patients with a diagnosis of schizophrenia, determining symptom onset is crucial for timely and successful intervention. In mental health records, information about early symptoms is often documented only in free text, and thus needs to be extrac...
Electronic Health Records Natural Language Processing Psychotic Disorders Humans Records
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Recurrent Neural Networks in Mobile Sampling and Intervention.

Schizophrenia bulletin Mar 7, 2019
The rapid rise and now widespread distribution of handheld and wearable devices, such as smartphones, fitness trackers, or smartwatches, has opened a new universe of possibilities for monitoring emotion and cognition in everyday-life context, and for...
Telemedicine Ecological Momentary Assessment Machine Learning Psychotic Disorders Humans Neural Networks, Computer
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Brain Age in Early Stages of Bipolar Disorders or Schizophrenia.

Schizophrenia bulletin Jan 1, 2019
BACKGROUND: The greater presence of neurodevelopmental antecedants may differentiate schizophrenia from bipolar disorders (BD). Machine learning/pattern recognition allows us to estimate the biological age of the brain from structural magnetic resona...
Schizophrenia Humans Psychotic Disorders Young Adult Age Factors Risk Adult Magnetic Resonance Imaging Machine Learning Diagnosis, Differential Female Male Adolescent Bipolar Disorder
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Use of Machine Learning to Determine Deviance in Neuroanatomical Maturity Associated With Future Psychosis in Youths at Clinically High Risk.

JAMA psychiatry Sep 1, 2018
IMPORTANCE: Altered neurodevelopmental trajectories are thought to reflect heterogeneity in the pathophysiologic characteristics of schizophrenia, but whether neural indicators of these trajectories are associated with future psychosis is unclear.
Prognosis Female Young Adult Adolescent Child, Preschool Male Risk Assessment Machine Learning Prospective Studies Brain Prodromal Symptoms Predictive Value of Tests Social Skills Humans Child Psychotic Disorders Longitudinal Studies Neuropsychological Tests Magnetic Resonance Imaging
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A New Machine Learning Framework for Understanding the Link Between Cannabis Use and First-Episode Psychosis.

Studies in health technology and informatics Jan 1, 2018
Lately, several studies started to investigate the existence of links between cannabis use and psychotic disorders. This work proposes a refined Machine Learning framework for understanding the links between cannabis use and 1st episode psychosis. Th...
Cannabis Machine Learning Psychoses, Substance-Induced Algorithms Humans ROC Curve Psychotic Disorders
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A clinical perspective on the relevance of research domain criteria in electronic health records.

The American journal of psychiatry Apr 1, 2015
OBJECTIVE: The limitations of the DSM nosology for capturing dimensionality and overlap in psychiatric syndromes, and its poor correspondence to underlying neurobiology, have been well established. The Research Domain Criteria (RDoC), a proposed dime...
Psychotic Disorders Patient Readmission Information Storage and Retrieval Cohort Studies Natural Language Processing Hospitalization Female Schizophrenia Adult Reproducibility of Results Humans Male Risk Factors Mental Disorders Models, Psychological Middle Aged Electronic Health Records Schizophrenic Psychology Depressive Disorder, Major Length of Stay
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