{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Li M"],"funding":["NIMH NIH HHS","NINDS NIH HHS","National Institutes of Health","Vanderbilt University"],"pagination":["118972"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8915948"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["250"],"pubmed_abstract":["Recent studies have demonstrated that the mathematical model used for analyzing and interpreting fMRI data in gray matter (GM) is inappropriate for detecting or describing blood-oxygenation-level-dependent (BOLD) signals in white matter (WM). In particular the hemodynamic response function (HRF) which serves as the regressor in general linear models is different in WM compared to GM. We recently reported measurements of the frequency contents of resting-state signal time courses in WM that showed distinct power spectra which depended on local structural-vascular-functional associations. In addition, multiple studies of GM have revealed how functional connectivity between regions, as measured by the correlation between BOLD time series, varies dynamically over time. We therefore investigate"],"journal":["NeuroImage"],"pubmed_title":["Dynamic variations of resting-state BOLD signal spectra in white matter."],"pmcid":["PMC8915948"],"funding_grant_id":["R01 NS093669","R01 NS113832","U54 MH091657"],"pubmed_authors":["Gore JC","Gao Y","Anderson AW","Ding Z","Li M"],"additional_accession":[]},"is_claimable":false,"name":"Dynamic variations of resting-state BOLD signal spectra in white matter.","description":"Recent studies have demonstrated that the mathematical model used for analyzing and interpreting fMRI data in gray matter (GM) is inappropriate for detecting or describing blood-oxygenation-level-dependent (BOLD) signals in white matter (WM). In particular the hemodynamic response function (HRF) which serves as the regressor in general linear models is different in WM compared to GM. We recently reported measurements of the frequency contents of resting-state signal time courses in WM that showed distinct power spectra which depended on local structural-vascular-functional associations. In addition, multiple studies of GM have revealed how functional connectivity between regions, as measured by the correlation between BOLD time series, varies dynamically over time. We therefore investigate","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Apr","modification":"2025-04-19T16:18:58.33Z","creation":"2025-04-19T16:18:58.33Z"},"accession":"S-EPMC8915948","cross_references":{"pubmed":["35131432"],"doi":["10.1016/j.neuroimage.2022.118972"]}}