Multiscale functional connectivity patterns of the aging brain learned from rsfMRI data of 4,259 individuals of the multi-cohort iSTAGING study is a dataset published in bioRxiv (Cold Spring Harbor Laboratory) (2022). 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
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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National Institutes of Health
Grant: 2R01MH123550-05A1
Harmonization of Multi-Site Neuroimaging Data from Complex Study Designs
National Institutes of Health
Grant: 1R01AG066650-01A1
Fast and robust deep learning tools for analysis of neuroimaging data of Alzheimer's disease
National Institutes of Health
Grant: 1RF1AG054409-01
Heterogeneity of Multi-modal Imaging Signatures of Aging, MCI, Alzheimer's disease via Pattern Analysis
National Institutes of Health
Grant: 1U01AG068057-01
Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease Biobanks
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Sustainable Development Goals