Guillaume Auzias

TL;DR: Evaluated the performance of ten high dimensional classification methods proposed to automatically discriminate between patients with Alzheimer's disease or mild cognitive impairment and elderly controls using 509 subjects from the ADNI database, finding whole-brain methods achieved high accuracies and the use of feature selection did not improve the performance but substantially increased the computation times.

TL;DR: Findings suggest an interplay in the abnormal development of the striatal, frontal, and temporal regions in ASD across the lifespan, using a well-established, validated, publicly available analysis pipeline.

TL;DR: Altered lateralized neurodevelopment may be a feature of ASD, affecting widespread brain regions with diverse functions, and particularly in medial frontal, orbitofrontal, cingulate and inferior temporal areas.

TL;DR: In this article, the authors used T1-weighted magnetic resonance images to determine neurobiologic correlates of group differences in cortical thickness between cases and controls in 6 disorders: attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), major depressive disorder (MDD), obsessive-compulsive disorder (OCD), and schizophrenia.

TL;DR: Structural brain imaging data from ENIGMA consortium data suggests robust but subtle differences across different age groups among ADHD, ASD, and OCD, which support previous work emphasizing structural brain differences in these disorders.