Mental Health

Herting, Megan

Associate Professor of Population and Public Health Sciences

Our laboratory uses advanced MRI neuroimaging techniques to investigate how the brain develops during childhood and adolescence. Our research focuses on both internal and external risk factors, like hormones, air pollution, and physical activity on brain outcomes like structure, function, cognition, and mental health.

Holschneider, Daniel P.

Professor of Psychiatry & the Behavioral Sciences

Our laboratory focuses on brain imaging in awake, behaving rodents. We use classic methods like autoradiography and positron emission tomography, along with histologic approaches and 3D brain reconstruction. We have been amongst the first to adapt analytic methods that are part of the human functional neuroimaging toolbox (statistical parametric mapping, functional connectivity, network analysis) to autoradiographic and histologic whole brain data sets. This enables voxel-based exploration of cerebral function in models of dopaminergic deafferentation, Huntington’s Disease, brain injury, fear, stress, hyperalgesia, gut microflora alterations, and chemogenetic knockdown. Our expertise includes functional brain mapping, animal behavior, physiologic monitoring (EEG, EMG, EKG, cardiac output), and histochemistry.

Irimia, Andrei

Associate Professor of Gerontology, Quantitative & Computational Biology, Biomedical Engineering and Neuroscience

Andrei Irimia, PhD, is a biogerontologist and computational neurobiologist studying the effects of genetic, epigenetic, and environmental factors on brain aging. His laboratory uses interpretable deep learning, genomics, and brain imaging to identify and characterize novel risk factors for Alzheimer’s disease and related dementias (ADRD). He also studies accelerated aging, neurovascular calcification, and brain injury as risk factors for ADRD.

Lawrence, Katherine

Assistant Professor Of Research Neurology

Our research is focused on improving understanding of the brain in neurodevelopmental conditions and in typical development. To this end, we analyze large-scale human neuroimaging data using advanced computational methods to study brain connectivity, brain function, and brain structure. The long-term goal of our research is to inform how we can best support the unique strengths and needs of every neurodivergent individual.