Brain age models - machine-learning predictions of chronological age from brain imaging - are widely interpreted as markers of accelerated brain aging. Here we show that this interpretation cannot be ...

Importance: Polysubstance use is common, but substance use associations with neuroimaging measures have largely been investigated within individual drug types. Whether effects are substance-specific o...

www.satterthwaitelab.com Homepage for Satterthwaite lab neuroimaging | neurodevelopment | adolescence | psychiatry | machine learning | network science

Translational Psychiatry - Sex differences in response to violence: role of salience network expansion and connectivity on depression

Medical College of Wisconsin - Postdoctoral Researcher - Milwaukee WI 53201

Novel tools for comparing the architecture of psychopathology between neurogenetic disorders: An application to X- versus Y-chromosome aneuploidy effects in males - Volume 55

Images hold clues to risk of dementia and various age-related diseases.

Differences in the Pace of Aging are important for many health outcomes but difficult to measure. Here the authors describe the Dunedin Pace of Aging Calculated from NeuroImaging measure, an approach ...

To understand how aging affects functional decline and increases disease risk, it is necessary to develop accurate and reliable measures of how fast a person is aging. Epigenetic clocks measure aging ...