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Systemic inflammation as a predictor of brain aging: Contributions of physical activity, metabolic risk, and genetic risk.

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Subject identification using edge-centric functional connectivity., , , , and . NeuroImage, (2021)Mapping individual differences across brain network structure to function and behavior with connectome embedding., , , and . NeuroImage, (2021)Cortico-subcortical interactions in overlapping communities of edge functional connectivity., , , , , , , , , and . NeuroImage, (2022)Classifying Phenotypes Based on the Community Structure of Human Brain Networks., , , , , , , and . GRAIL/MFCA/MICGen@MICCAI, volume 10551 of Lecture Notes in Computer Science, page 3-11. Springer, (2017)The heritability of the functional connectome is robust to common nonlinear registration methods., , , , , , , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97841R. SPIE, (2016)The modular organization of brain cortical connectivity across the human lifespan., , , , , and . NeuroImage, (2020)Age differences in specific neural connections within the Default Mode Network underlie theory of mind., , , , , and . NeuroImage, (2019)Multi-modal and multi-subject modular organization of human brain networks., , , , and . NeuroImage, (2022)Multivariate Information Theory Uncovers Synergistic Subsystems of the Human Cerebral Cortex., , , and . CoRR, (2022)Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification., , , , , , , and . MICCAI (1), volume 10433 of Lecture Notes in Computer Science, page 515-522. Springer, (2017)