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Research groups

Member laboratories

CIRC is a community of laboratories from across MSU. Each brings distinct expertise — from acquisition engineering to computational modeling — united by human neuroimaging. New member profiles are added as the center grows.

Radiology

Biomarker Research and AI in Neuroimaging (BRAIN) Lab

Norman Scheel, PhD

Computational and AI neuroimaging — novel biomarkers for brain aging, Alzheimer's and Parkinson's disease, and sports-related concussion from multimodal MRI, PET, and CT.

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Psychology

Brascamp Lab for Visual Neuroscience

Jan Brascamp, PhD

Functional imaging (fMRI) of visual perception in health and disease — the neural processes that turn sensation into conscious perception — and the foundations of pupillometry.

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Psychology / Neuroscience Program

Liu Attention & Perception Lab

Taosheng Liu, PhD

Neural mechanisms of visual selective attention, visual working memory, and perceptual decision-making, studied with fMRI.

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Pediatrics & Human Development; Institute for Quantitative Health Science & Engineering

Knickmeyer Lab / ORIGIN

Rebecca Knickmeyer, PhD

Genetic and environmental influences on early brain development across the first 1,000 days — integrating pediatric neuroimaging with genomics and the microbiome-gut-brain axis. Founder of ORIGIN (ENIGMA).

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Electrical & Computer Engineering

Broadband Access & Wireless Communication (BAWC) Lab

Tongtong Li, PhD

Information theory and statistical signal processing with applications in neuroscience — including EEG-based information-transfer mapping that distinguishes normal cognition from mild cognitive impairment.

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Computational Mathematics, Science & Engineering (CMSE)

Multiscale Complex Systems Lab

Mengsen Zhang, PhD

Neuroimaging-informed dynamical-systems modeling of brain function — computational frameworks linking multiscale brain dynamics to naturalistic recordings and brain stimulation.

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Family Medicine, College of Human Medicine

HELP PAIN Lab

Natoshia Cunningham, PhD

Healing Emotions iLlness Pain (HELP): developing and testing tailored psychological treatments for youth with chronic painful conditions and co-occurring mental-health symptoms, studying the neural mechanisms of pediatric pain, and broadening access to behavioral healthcare.

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Statistics & Probability, College of Natural Science

Statistical Tractography & Nonparametrics Group

Lyudmila Sakhanenko, PhD

Nonparametric statistics, high-dimensional probability, and empirical processes — including statistical tractography methods for diffusion MRI.

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Are you an MSU investigator using human imaging and interested in joining CIRC? Get in touch to have your group listed here.