<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>4</volume><submitter>Zhong XZ</submitter><pubmed_abstract>To improve the clinical utility of resting-state fMRI (rs-fMRI), enhancing its interpretability is paramount. Establishing links with electrophysiological activities remains the benchmark for understanding the neuronal basis of rs-fMRI signals. Existing research, while informative, suffers from inconsistencies and a limited scope of rs-fMRI metrics (e.g., seed-based functional connectivity). Phenotypic variables like sex and age are suspected to obscure reliable fMRI-electroencephalography (EEG) associations. A major contributing factor to these inconsistencies may be the neglect of macrovascular correction in rs-fMRI metrics. Given that macrovascular contributions can inflate rs-fMRI connectivity and power, they may lead to misleading fMRI-EEG associations that do not reflect genuine neur</pubmed_abstract><journal>Imaging neuroscience (Cambridge, Mass.)</journal><pagination>IMAG.a.1092</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12797145</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>The link between steady-state EEG and rs-fMRI metrics in healthy young adults: The effect of macrovascular correction.</pubmed_title><pmcid>PMC12797145</pmcid><pubmed_authors>Zhong XZ</pubmed_authors><pubmed_authors>Mathews A</pubmed_authors><pubmed_authors>Van Lankveld H</pubmed_authors><pubmed_authors>Chen JJ</pubmed_authors></additional><is_claimable>false</is_claimable><name>The link between steady-state EEG and rs-fMRI metrics in healthy young adults: The effect of macrovascular correction.</name><description>To improve the clinical utility of resting-state fMRI (rs-fMRI), enhancing its interpretability is paramount. Establishing links with electrophysiological activities remains the benchmark for understanding the neuronal basis of rs-fMRI signals. Existing research, while informative, suffers from inconsistencies and a limited scope of rs-fMRI metrics (e.g., seed-based functional connectivity). Phenotypic variables like sex and age are suspected to obscure reliable fMRI-electroencephalography (EEG) associations. A major contributing factor to these inconsistencies may be the neglect of macrovascular correction in rs-fMRI metrics. Given that macrovascular contributions can inflate rs-fMRI connectivity and power, they may lead to misleading fMRI-EEG associations that do not reflect genuine neur</description><dates><release>2026-01-01T00:00:00Z</release><publication>2026</publication><modification>2026-07-16T06:43:36.899Z</modification><creation>2026-07-09T10:41:46.362Z</creation></dates><accession>S-EPMC12797145</accession><cross_references><pubmed>41537053</pubmed><doi>10.1162/IMAG.a.1092</doi></cross_references></HashMap>