Predictive modeling is a central technique in neuroimaging to identify brain-behavior
relationships and test their generalizability to unseen data. However, data leakage …

Functional magnetic resonance imaging-based functional connectivity enables the non-
invasive mapping of individual differences in brain functional organization to individual …

Depression is a serious mental disorder, significantly burdens individuals, families, and
society. For clinical psychiatrists, assessing the severity of depression is a crucial tool in …

Neuronal rhythms with different temporospatial dynamics are prominent signatures of brain
operation. Yet, the synchronous coupling across multiple rhythms and spatially distributed …

Suicide notes are written documents left behind by suicide victims, either on paper or on
social media, and can help us understand the mentality and thought processes of those …

This study explores the effectiveness of Explainable Artificial Intelligence (XAI) for predicting
suicide risk from medical tabular data. Given the common challenge of limited datasets in …

Suicide is a leading cause of death in the US and worldwide. Current strategies for
preventing suicide are often focused on the identification and treatment of risk factors …

Understanding the architecture of the human deep brain is especially challenging because
of the complex organization of the nuclei and fascicles that support most sensorimotor and …

Background Suicide is more prevalent among older adults compared to younger individuals.
Late-life depression (LLD) poses the highest risk for suicide. However, early recognition of …

It has been 15 years since repetitive transcranial magnetic stimulation (rTMS) targeting the
dorsolateral prefrontal cortex (DLPFC) was approved by the FDA for clinical depression …