In light of the National Institute of Mental Health (NIMH)'s Research Domain Criteria (RDoC),
the advent of functional neuroimaging, novel technologies and methods provide new …

The ability of our current psychiatric nosology to accurately delineate clinical populations
and inform effective treatment plans has reached a critical point with only moderately …

Symptomatic overlap of depressive episodes in bipolar disorder (BD) and major depressive
disorder (MDD) is a major diagnostic and therapeutic problem. Mania in medical history …

Much attention is currently devoted to developing diagnostic classifiers for mental disorders.
Complementing these efforts, we highlight the potential of machine learning to gain …

Mood and anxiety disorders typically begin in adolescence and have overlapping clinical
features but marked inter-individual variation in clinical presentation. The use of multimodal …

Introduction Non-suicidal self-injury (NSSI) is highly prevalent in depression, and is
associated with psychosocial factors, emotion dysregulation, and strategies of cognitive …

Psychiatric disorders include a broad panel of heterogeneous conditions. Among the most
severe psychiatric diseases, in intensity and incidence, depression will affect 15–20% of the …

Purpose Finding the biomarkers associated with autism spectrum disorder (ASD) is helpful
for understanding the underlying roots of the disorder and can lead to earlier diagnosis and …

Subtype Discovery consists in finding interpretable and consistent sub-parts of a dataset,
which are also relevant to a certain supervised task. From a mathematical point of view, this …

Trust levels of the popularity of deep learning models is enhanced through XAI, which
provides explanations and interpretations on the decisions made and also in making more …