Sex differences

Eagleson, Kathie

Associate Professor of Research Pediatrics and Neurology

Research projects investigate the development of brain architecture that controls social-emotional behavior and learning, and how early life experiences impact neurodevelopment. Genetic and environmental factors that regulate circuit and synapse formation are studied at the molecular and circuit level, using single cell and bulk RNA sequencing, viral circuit tracing, and multiplex in-situ hybridization. Preclinical mouse models use exposure to early adverse experiences to study age- and sex- specific mitochondrial adaptations that impact the emergence of cognitive, social and emotional behaviors across the lifespan.

Eich, Teal

Associate Professor of Gerontology

My research centers on understanding sex differences in the cognitive and neural mechanisms underlying learning and memory changes in healthy and pathological aging, with a particular focus on Alzheimer’s disease. My lab uses a combination of cognitive, biobehavioral (biomarkers, endocrine profiles), and neuroimaging (structural, spectroscopic, and functional) to understand memory and executive function in normal aging, and seeks to translate these empirical and theoretical findings to model cognitive disorders in psychopathologic and neurodegenerative diseases, where high level cognitive failures can be particularly deleterious both for the individual and society at large.

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.

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.