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A Comprehensive Data Set
The imaging data, gathered from approximately 1,200 MRI scans and rapidly growing, includes structural, functional, vascular and white matter tract imaging. The data assesses both neural (e.g., brain activity, connectivity) and vascular (e.g., blood flow, oxygenation) health, offering a holistic view of brain function.The BrainHealth Network also leverages data from the BrainHealth Index, a metric designed to track brain health over time. The Index offers a composite score with a unique focus on the brain’s lifelong ability to improve, built with a proprietary algorithm from 22 established assessments. Enhanced by imaging and physiological data, this scientifically informed approach highlights the contributing factors of brain health. Paired with predictive modeling capabilities, the Index offers a remarkable opportunity to create personalized interventions. Unlike other large data sets that are typically just observational, The BrainHealth Project also collects data to measure effectiveness of cognitive training interventions, allowing researchers to explore causal insights regarding changes in brain health.“”
A Unique Approach to Sharing
The Network’s infrastructure enables multi-institutional collaboration, with each member specializing in different imaging techniques and exploring diverse questions. A centralized database supports continuous data integration, as well as a systemic way to share. Collaboration is ongoing and reciprocal — labs can explore their own research questions using the shared dataset. Data collection is streamlined through BrainForge, a cloud-native platform that automates imaging processing and supports scalable, real-time data integration. Collaborating labs use shared data to conduct independent research, fostering reciprocal innovation and transparency.“”
Pioneering Researchers Join the Effort
This initiative is powered by a cross-disciplinary approach that ensures continuous improvement, rapid integration of new discoveries and shared commitment to advancing the science of brain health. The Network involves multiple labs across universities and other organizations, each analyzing a unique aspect of the data:- Mark D’Esposito, MD UC Berkeley and Center for BrainHealth at UT Dallas Network co-director
- Sandra Bond Chapman, PhD Center for BrainHealth at UT Dallas Network co-director
- Matthew Walker, PhD and Eti Ben-Simon, PhD Center for BrainHealth at UT Dallas Sleep Reimagined
- Meredith Braskie, PhD University of Southern California MRI Lag and Perfusion Analyses
- Vince Calhoun, PhD Center for Translational Research in Neuroimaging and Data Science (TReNDS) and Center for BrainHealth at UT Dallas Powering the Executive Brain: White Matter Pathways
- Lori Cook, PhD, CCC-SLP Center for BrainHealth at UT Dallas Three Years of Data from The BrainHealth Projec
- Wesley Clapp, PhD and Brain Miller, PhD NeuroScouting Multimodal Brain-Body Monitoring
- Iftach Dolev, PhD QuantalX Neuroscience Charting Individual Neural Activity Age: Profile of the Brain's Health Status
- Robyn Honea, PhD University of Kansas School of Medicine Decoding the Neural Architecture of Brain Vitality
- Susanne Jaeggi, PhD and Aaron Seitz, PhD Northeastern University Precision Tools to Augment the BrainHealth Index
- Kevin Weiner, PhD UC Berkeley Scalable precision imaging of evolutionarily-new brain structure
- Nina Miolane, PhD UC Santa Barbara AI-Generated Digital TWIN Brain to Catapult Precision Brain Health
- Ioaniss Pappas, PhD Ionis Pharmaceuticals, Inc. Associations Among Vascular Risk Factors, Functional Connectivity, and BrainHealth Index
- Jeff Spence, PhD Center for BrainHealth at UT Dallas Linking Hemodynamics with Measures of Brain Health: a Precision Approach
- Aaron Tate Center for BrainHealth, UT Dallas Accessible Digital Platform to Inspire Data-driven Cognitive Wellness
- Michelle Voss, PhD The University of Iowa Heart Health Meets Brain Health: Benefits of Keeping Fit










