Joanna Bright

TL;DR: This review summarizes the last decade of work by the ENIGMA Consortium, a global alliance of over 1400 scientists across 43 countries, studying the human brain in health and disease, and highlights the advantages of collaborative large-scale coordinated data analyses for testing reproducibility and robustness of findings.

TL;DR: In this paper, the authors used a multicenter approach and harmonized analysis methods to shed light on Parkinson's disease stage-specific profiles of pathology, as suggested by in vivo neuroimaging.

TL;DR: Five genome-wide significant loci and 15 genes associated with brain structural changes are discovered in the world’s largest longitudinal imaging genetics dataset, which identifies genetic variants that alter age-dependent brain growth and atrophy throughout the authors' lives.

TL;DR: The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) consortium as mentioned in this paper provides a powerful collaborative framework for combining datasets across individual sites, in order to increase the number of samples, and harmonize the methods of data collection, preprocessing and analysis using pre-registered well-established protocols.

TL;DR: In this article, a review of the existing literature on sex differences in adult brain structure in normative samples and in 14 distinct psychiatric and neurological disorders is presented, highlighting the importance of large-scale neuroimaging initiatives such as the Enhancing NeuroImaging Genetics through Meta-Analyses consortium, the UK Biobank, Human Connectome Project, and others.