Functional magnetic resonance imaging connectivity accurately distinguishes cases with psychotic disorders from healthy controls, based on cortical features …
Background Machine learning (ML) can distinguish cases with psychotic disorder from
healthy controls based on magnetic resonance imaging (MRI) data, but it is not yet clear …
healthy controls based on magnetic resonance imaging (MRI) data, but it is not yet clear …
Searching for imaging biomarkers of psychotic dysconnectivity
Background Progress in precision psychiatry is predicated on identifying reliable individual-
level diagnostic biomarkers. For psychosis, measures of structural and functional …
level diagnostic biomarkers. For psychosis, measures of structural and functional …
Aberrant temporal connectivity in persons at clinical high risk for psychosis
Background Schizophrenia, a neurodevelopmental disorder, involves abnormalities in
functional connectivity (FC) across distributed neural networks, which are thought to …
functional connectivity (FC) across distributed neural networks, which are thought to …
Is aberrant functional connectivity a psychosis endophenotype? A resting state functional magnetic resonance imaging study
Background Schizophrenia and bipolar disorder share overlapping symptoms and risk
genes. Shared aberrant functional connectivity is hypothesized in both disorders and in …
genes. Shared aberrant functional connectivity is hypothesized in both disorders and in …
Elucidating a magnetic resonance imaging-based neuroanatomic biomarker for psychosis: classification analysis using probabilistic brain atlas and machine learning …
BACKGROUND: No objective diagnostic biomarkers or laboratory tests have yet been
developed for psychotic illness. Magnetic resonance imaging (MRI) studies consistently find …
developed for psychotic illness. Magnetic resonance imaging (MRI) studies consistently find …
[HTML][HTML] Widespread brain dysconnectivity associated with psychotic-like experiences in the general population
It is becoming increasingly clear that psychosis occurs along a continuum. At the high end
are formal psychotic disorders such as schizophrenia, and at the low-end are individuals …
are formal psychotic disorders such as schizophrenia, and at the low-end are individuals …
[HTML][HTML] Using brain structural neuroimaging measures to predict psychosis onset for individuals at clinical high-risk
Y Zhu, N Maikusa, J Radua, PG Sämann… - Molecular …, 2024 - nature.com
Abstract Machine learning approaches using structural magnetic resonance imaging (sMRI)
can be informative for disease classification, although their ability to predict psychosis is …
can be informative for disease classification, although their ability to predict psychosis is …
Machine learning with neuroimaging: evaluating its applications in psychiatry
Psychiatric disorders are complex, involving heterogeneous symptomatology and
neurobiology that rarely involves the disruption of single, isolated brain structures. In an …
neurobiology that rarely involves the disruption of single, isolated brain structures. In an …
Brain connectivity abnormalities predating the onset of psychosis: correlation with the effect of medication
A Schmidt, R Smieskova, J Aston, A Simon… - JAMA …, 2013 - jamanetwork.com
Importance Brain imaging studies have identified robust changes in brain structure and
function during the development of psychosis, but the contribution of abnormal brain …
function during the development of psychosis, but the contribution of abnormal brain …
Whole-Brain Intrinsic Functional Connectivity Predicts Symptoms and Functioning in Early Psychosis
Theories of psychotic illness suggest that abnormal intrinsic functional connectivity may
explain its characteristic positive and disorganization symptoms as well as lead to impaired …
explain its characteristic positive and disorganization symptoms as well as lead to impaired …