Machine learning in mental health: a scoping review of methods and applications
BackgroundThis paper aims to synthesise the literature on machine learning (ML) and big
data applications for mental health, highlighting current research and applications in …
data applications for mental health, highlighting current research and applications in …
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls
Neuroimaging-based single subject prediction of brain disorders has gained increasing
attention in recent years. Using a variety of neuroimaging modalities such as structural …
attention in recent years. Using a variety of neuroimaging modalities such as structural …
Sources and implications of whole-brain fMRI signals in humans
Whole-brain fMRI signals are a subject of intense interest: variance in the global fMRI signal
(the spatial mean of all signals in the brain) indexes subject arousal, and psychiatric …
(the spatial mean of all signals in the brain) indexes subject arousal, and psychiatric …
Classification and prediction of brain disorders using functional connectivity: promising but challenging
Brain functional imaging data, especially functional magnetic resonance imaging (fMRI)
data, have been employed to reflect functional integration of the brain. Alteration in brain …
data, have been employed to reflect functional integration of the brain. Alteration in brain …
[HTML][HTML] Somatosensory-motor dysconnectivity spans multiple transdiagnostic dimensions of psychopathology
Background There is considerable interest in a dimensional transdiagnostic approach to
psychiatry. Most transdiagnostic studies have derived factors based only on clinical …
psychiatry. Most transdiagnostic studies have derived factors based only on clinical …
Towards a brain‐based predictome of mental illness
Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …
recent years and have deepened our understanding of both cognitively healthy and …
Brain-wide analysis of functional connectivity in first-episode and chronic stages of schizophrenia
Published reports of functional abnormalities in schizophrenia remain divergent due to lack
of staging point-of-view and whole-brain analysis. To identify key functional-connectivity …
of staging point-of-view and whole-brain analysis. To identify key functional-connectivity …
3D-CNN based discrimination of schizophrenia using resting-state fMRI
MNI Qureshi, J Oh, B Lee - Artificial intelligence in medicine, 2019 - Elsevier
Motivation This study reports a framework to discriminate patients with schizophrenia and
normal healthy control subjects, based on magnetic resonance imaging (MRI) of the brain …
normal healthy control subjects, based on magnetic resonance imaging (MRI) of the brain …
Aberrant hyperconnectivity in the motor system at rest is linked to motor abnormalities in schizophrenia spectrum disorders
S Walther, K Stegmayer, A Federspiel… - Schizophrenia …, 2017 - academic.oup.com
Motor abnormalities are frequently observed in schizophrenia and structural alterations of
the motor system have been reported. The association of aberrant motor network function …
the motor system have been reported. The association of aberrant motor network function …
How do abnormalities in the brain's spontaneous activity translate into symptoms in schizophrenia? From an overview of resting state activity findings to a proposed …
G Northoff, NW Duncan - Progress in neurobiology, 2016 - Elsevier
Schizophrenia is a complex neuropsychiatric disorder with a variety of symptoms that
include sensorimotor, affective, cognitive, and social changes. The exact neuronal …
include sensorimotor, affective, cognitive, and social changes. The exact neuronal …