Abstract #1486
White Matter Microstructure and Macrostructure Brain Charts across the Human Lifespan: 23,971 participants from 25 studies
Michael Kim1, Chenyu Gao2, Sam Bogdanov3, Karthik Ramadass1,2, Nancy R Newlin1, Praitayini Kanakaraj1, Derek Archer4,5, Timothy J Hohman4,5, Susan M Resnick6, Lori L Beason-Held6, Laurie Cutting7,8, Laura A Barquero8, Tin Nguyen7,8,9, Kathryn L Humphreys10, Yanbin Niu10, Sophia Vinci-Booher10, Carissa Cascio11, Zhiyuan Li2, Panpan Zhang12, Bennett A Landman1,2,7,9,10,11,13,14,15, and Kurt G Schilling15
1Department of Computer Science, Vanderbilt University, Nashville, TN, United States, 2Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States, 3Medical Scientist Training Program, Vanderbilt University, Nashville, TN, United States, 4Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, United States, 5Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, United States, 6Laboratory of Behavioral Neuroscience, National Institutes of Health, Nashville, TN, United States, 7Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, United States, 8Department of Special Education, Peabody College of Education and Human Development, Nashville, TN, United States, 9Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 10Department of Psychology and Human Development, Vanderbilt University, Nashville, TN, United States, 11Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 12Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States, 13Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 14Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 15Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, United States
Synopsis
Keywords: White Matter, White Matter, Normative Modeling, Brain Charts, Microstructure, Macrostructure
Motivation: No reference standards exist to characterize white matter fiber tracts across the lifespan.
Goal(s): To develop a normative database of tract-specific WM microstructural and macrostructural features across the human lifespan, creating WM brain charts of development and aging.
Approach: We aggregated microstructure (FA/MD/AD/RD) and macrostructural (volume/length/surface area/etc.) measures for 72 WM tracts of 23,971 cognitively healthy participants’ diffusion MRI scans from 25 studies, and then performed normative modeling and harmonization to create brain charts for each measure.
Results: We identified developmental milestones and aging trends in WM microstructure and macrostructure, revealing tract-specific differences and temporal patterns.
Impact: This research provides standardized WM brain charts for population comparison, enabling tract-specific assessments of brain development and aging, and identifying key developmental milestones for each tract.
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