Despite its great promise, neuroimaging has yet to substantially impact clinical practice and
public health. However, a develo** synergy between emerging analysis techniques and …

Executive functions (EFs) are high-level cognitive processes, often associated with the
frontal lobes, that control lower level processes in the service of goal-directed behavior …

Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …

Objective: Interest in candidate gene and candidate gene-by-environment interaction
hypotheses regarding major depressive disorder remains strong despite controversy …

The Study of Health in Pomerania (SHIP) comprises the two independent cohorts SHIP-
START (recruited between 1997 and 2001) and SHIP-TREND (recruited between 2008 to …

As medical imaging enters its information era and presents rapidly increasing needs for big
data analytics, robust pooling and harmonization of imaging data across diverse cohorts …

The ABCD study is a new and ongoing project of very substantial size and scale involving
21 data acquisition sites. It aims to recruit 11,500 children and follow them for ten years with …

The movement towards open science is a consequence of seemingly pervasive failures to
replicate previous research. This transition comes with great benefits but also significant …

Deep learning has emerged as a powerful approach to constructing imaging signatures of
normal brain ageing as well as of various neuropathological processes associated with …

The recent availability of comprehensive, brain-wide gene expression atlases such as the
Allen Human Brain Atlas (AHBA) has opened new opportunities for understanding how …