Electrophysiological foundations of the human default-mode network revealed by intracranial-EEG recordings during resting-state and cognition is a research paper published in NeuroImage (2022). On theSindex it has a DataRank of 0. It has been cited 66 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full β never from an abstract alone.
National Institutes of Health
Grant: EB022907
National Institutes of Health
Grant: NS086085
NIBIB NIH HHS
Grant: R01 EB022907
NIMH NIH HHS
Grant: R01 MH121069
NINDS NIH HHS
Grant: R01 NS086085
NINDS NIH HHS
Grant: RF1 NS086085
National Institutes of Health
Grant: 5R01EB022907-03
Novel Bayesian linear dynamical systems-based methods for discovering human brain circuit dynamics in health and disease
National Institutes of Health
Grant: 2RF1NS086085-06
Computational modeling of dynamic causal brain circuits underlying cognitive dysfunction in Alzheimer's disease
FWCI
5.73
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords