scispace - formally typeset
S

Shannon L. Risacher

Researcher at Indiana University

Publications -  288
Citations -  12478

Shannon L. Risacher is an academic researcher from Indiana University. The author has contributed to research in topics: Cognition & Medicine. The author has an hindex of 51, co-authored 246 publications receiving 9808 citations. Previous affiliations of Shannon L. Risacher include Indiana University – Purdue University Indianapolis & University of Texas at Arlington.

Papers
More filters
Journal ArticleDOI

Common genetic variants influence human subcortical brain structures.

Derrek P. Hibar, +344 more
- 09 Apr 2015 - 
TL;DR: In this paper, the authors conduct genome-wide association studies of the volumes of seven subcortical regions and the intracranial volume derived from magnetic resonance images of 30,717 individuals from 50 cohorts.
Journal ArticleDOI

The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

Paul M. Thompson, +332 more
TL;DR: The ENIGMA Consortium has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected.
Journal ArticleDOI

Identification of common variants associated with human hippocampal and intracranial volumes

Jason L. Stein, +237 more
- 01 May 2012 - 
TL;DR: In this article, the authors report genome-wide association meta-analyses and replication for mean bilateral hippocampal, total brain and intracranial volumes from a large multinational consortium.
Journal ArticleDOI

Baseline MRI predictors of conversion from MCI to probable AD in the ADNI cohort.

TL;DR: It is indicated that degree of neurodegeneration of medial temporal structures was the best antecedent MRI marker of imminent conversion, with decreased hippocampal volume (left > right) being the most robust.
Journal ArticleDOI

The genetic architecture of the human cerebral cortex

Katrina L. Grasby, +359 more
- 20 Mar 2020 - 
TL;DR: Results support the radial unit hypothesis that different developmental mechanisms promote surface area expansion and increases in thickness and find evidence that brain structure is a key phenotype along the causal pathway that leads from genetic variation to differences in general cognitive function.