Psychiatry

Reconfiguration of αmplitude driven dominant coupling modes (DoCM) mediated by α-band in adolescents with schizophrenia spectrum disorders.

Electroencephalography (EEG) based biomarkers have been shown to correlate with the presence of psyc...

Construction of gene-classifier and co-expression network analysis of genes in association with major depressive disorder.

Because the pathogenesis of major depressive disorder (MDD) is still unclear and the accurate diagno...

Caregiver burden in stroke inpatients: a randomized study comparing robot-assisted gait training and conventional therapy.

The effects of caregiver burden during the inpatient rehabilitation period have not yet been investi...

Monitoring behavioral symptoms of dementia using activity trackers.

Tertiary disease prevention for dementia focuses on improving the quality of life of the patient. Th...

Deep learning-based classification of posttraumatic stress disorder and depression following trauma utilizing visual and auditory markers of arousal and mood.

BACKGROUND: Visual and auditory signs of patient functioning have long been used for clinical diagno...

Computational discrimination between natural images based on gaze during mental imagery.

When retrieving image from memory, humans usually move their eyes spontaneously as if the image were...

Modified Support Vector Machine for Detecting Stress Level Using EEG Signals.

Stress is categorized as a condition of mental strain or pressure approaches because of upsetting or...

Self-initiations in young children with autism during Pivotal Response Treatment with and without robot assistance.

The initiation of social interaction is often defined as a core deficit of autism spectrum disorder....

Robotic approach to the reduction of dental anxiety in children.

OBJECTIVE: We introduced a humanoid robot for the use of techno-psychological distraction techniques...

Robot-assisted Nerve Plane-sparing Eradication of Deep Endometriosis with Double-bipolar Method.

OBJECTIVE: To demonstrate anatomic and technical highlights of a robot-assisted nerve plane-sparing ...

Changes in functional connectivity after theta-burst transcranial magnetic stimulation for post-traumatic stress disorder: a machine-learning study.

Intermittent theta burst stimulation (iTBS) is a novel treatment approach for post-traumatic stress ...

Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies.

Given the powerful implications of relationship quality for health and well-being, a central mission...

Major depressive disorder diagnosis based on effective connectivity in EEG signals: a convolutional neural network and long short-term memory approach.

Deep learning techniques have recently made considerable advances in the field of artificial intelli...

Identifying influential factors distinguishing recidivists among offender patients with a diagnosis of schizophrenia via machine learning algorithms.

PURPOSE: There is a lack of research on predictors of criminal recidivism of offender patients diagn...

Robot applications for autism: a comprehensive review.

PURPOSE: Technological advances in robotics have brought about exciting developments in different ar...

Performance of machine learning classification models of autism using resting-state fMRI is contingent on sample heterogeneity.

Autism spectrum disorders (ASDs) are heterogeneous neurodevelopmental conditions. In fMRI studies, i...

Canada protocol: An ethical checklist for the use of artificial Intelligence in suicide prevention and mental health.

A deep learning model for detecting mental illness from user content on social media.

Users of social media often share their feelings or emotional states through their posts. In this st...

Deep learning for small and big data in psychiatry.

Psychiatry today must gain a better understanding of the common and distinct pathophysiological mech...

Automated design and optimization of multitarget schizophrenia drug candidates by deep learning.

Complex neuropsychiatric diseases such as schizophrenia require drugs that can target multiple G pro...

Evaluation of mental workload during automobile driving using one-class support vector machine with eye movement data.

The aim of this study is to investigate the usefulness of the anomaly detection method by one-class ...