Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based matrix-on-vector regression is a dataset published in Biometrics (2025). On theSindex it has a DataRank of 0, placing it in the top 100% of the data-sharing corpus.
Ranks in the top 100% for downstream scientific impact
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National Institutes of Health
Grant: 1DP1DA04896801
Division of Mathematical Sciences of the National Science Foundation
Grant: 2311109
U-statistic Reduction with Accurate Risk Control
NINDS NIH HHS
Grant: R01 NS114628
NIMH NIH HHS
Grant: R01 MH133812
NIDA NIH HHS
Grant: DP1 DA048968
NIMH NIH HHS
Grant: R01 MH116948
NIMH NIH HHS
Grant: RF1 MH123163
NIBIB NIH HHS
Grant: R01 EB015611
NIH HHS
Grant: S10 OD023696
National Institutes of Health
Grant: 5R01EB008432-03
HARDI Mapping of Disease Effects on the Brain
National Institutes of Health
Grant: 5R01EB008281-12
A Multidimensional Alzheimer's Disease Brain Atlas
FWCI
0.00
Citation Percentile
0.0%
Fields of Study
MeSH Terms
Keywords
Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based vector-on-matrix regression