Latest AI and machine learning research in psychiatry for healthcare professionals.
In continuous attractor neural networks (CANNs), spatially continuous information such as orientatio...
Abnormal connectivity patterns have frequently been reported as involved in pathological mental stat...
A lack of automated, quantitative, and accurate assessment of social behaviors in mammalian animal m...
Autism spectrum disorder (ASD) impacts 1 in 68 children in the U.S., with tremendous individual and ...
The "Reading the Mind in the Eyes" test (Eyes test) is an advanced test of theory of mind. Typical s...
On March 24, 2015, a Germanwings aircraft crashed in the Alps. The suicidal copilot killed himself a...
Volumetric assessments of the hippocampus and other brain structures during childhood provide useful...
INTRODUCTION: Apathy, agitated behaviours, loneliness and depression are common consequences of deme...
What adolescents say when they think about or attempt suicide influences the medical care they recei...
Left ventricular ejection fraction (LVEF) constitutes an important physiological parameter for the a...
BACKGROUND: Media coverage of the Germanwings plane crash intensely focused on the co-pilot's mental...
The purpose of this study was to review existing principles of oro-facial pain classifications and t...
Standard functional magnetic resonance imaging (fMRI) analyses cannot assess the potential of a neur...
BACKGROUND: Resting-state functional magnetic resonance imaging studies examining low frequency fluc...
OBJECTIVES: To examine effects on symptoms of agitation and depression in nursing home residents wit...
Although decades of efforts have been spent studying the pathogenesis of social anxiety disorder (SA...
BACKGROUND: People with an autistic spectrum disorder (ASD) display a variety of characteristic beha...
The study objective was to apply machine learning methodologies to identify predictors of remission ...
Functional connectivity (FC) patterns obtained from resting-state functional magnetic resonance imag...
UNLABELLED: PsyGeNET (Psychiatric disorders and Genes association NETwork) is a knowledge platform f...
BACKGROUND: There are no objective, biological markers that can robustly predict methylphenidate res...