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BRAIN Lab · CIRC · MSU Department of Radiology

Unlocking the brain with AI & imaging

The BRAIN Lab turns multimodal brain images into meaningful biomarkers of aging, resilience, and neurodegeneration.

Overview

From imaging signals to actionable biomarkers

We operate at the intersection of medicine, computer science, and neuroscience — developing methods to unravel the mechanisms of brain aging and neurodegenerative disease, and to pave the way for earlier diagnosis across the lifespan.

Functional connectivity

Resting-state fMRI networks and novel connectivity measures as biomarkers of neurodegeneration and cognition.

Multimodal & PET/MR

Combining MRI, PET, and CT — including metabolic quantification on the Biograph One — for a fuller picture of brain health.

AI & causality

Machine learning and causality analysis to model brain aging, resilience, and individual prediction.

Signature method

Dimensional Complexity

Resting-state fMRI reveals the brain's intrinsic functional networks (below). Dimensional Complexity quantifies exactly how those networks interact and reorganize — turning their dynamics into a biomarker of brain health.

Independent component analysis resolves the resting brain into its functional networks · MSU BRAIN Lab

We are developing and validating Dimensional Complexity (DC), a novel resting-state fMRI biomarker that quantifies the dynamic organization of these networks. DC is sensitive to healthy aging and more reliable than standard connectivity measures — and can track recovery from brain injury more effectively than traditional methods.

Crucially, we have linked our fMRI methods directly to Alzheimer's pathology, showing that local BOLD signal fluctuations are significantly correlated with brain amyloid-β deposition in patients with Mild Cognitive Impairment.

Right-hemisphere cortical surface with searchlight prediction accuracy highlighted in red and orange

Landmark clinical trials

Leading imaging analysis

NIH-funded

rrAD — Risk Reduction for Alzheimer's Disease

Our lab leads the neuroimaging analysis for this landmark trial, with PI Norman Scheel serving as its Primary Imaging Data Analyst, together with David Zhu (Albert Einstein College of Medicine, Bronx, NY). The trial investigates whether aerobic exercise and intensive vascular risk reduction can prevent dementia in older adults at high risk for Alzheimer's.

Visit the rrAD trial site ↗

NIH-funded

IPAT — Intensive Blood Pressure & Aβ / Tau

Our lab leads the neuroimaging analysis for IPAT, with PI Norman Scheel serving as a Co-Investigator and its Primary Imaging Data Analyst, together with David Zhu (Albert Einstein College of Medicine, Bronx, NY). The study aims to determine whether intensive treatment of high blood pressure can reduce the accumulation of amyloid and tau, core pathological hallmarks of Alzheimer's.

Visit the IPAT study site ↗

Part of CIRC

Where the BRAIN Lab sits

The BRAIN Lab is a member laboratory of the Cognitive Imaging Research Center (CIRC), MSU's hub for human neuroimaging. We acquire imaging data through the CIIGT core ↗, home of the Siemens Biograph One PET/MR.

Meet the team

Prospective researchers

The BRAIN Lab has no open positions or active searches at this time. We nonetheless welcome inquiries from prospective graduate students and postdoctoral researchers with a strong interest in computational neuroimaging and AI, and encourage interested candidates to reach out →