<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Li J</submitter><funding>NIBIB NIH HHS</funding><funding>NICHD NIH HHS</funding><funding>NIA NIH HHS</funding><funding>NCRR NIH HHS</funding><funding>NIMH NIH HHS</funding><funding>NINDS NIH HHS</funding><funding>NIGMS NIH HHS</funding><pagination>118758</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8945548</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>245</volume><pubmed_abstract>The default mode network (DMN) mediates self-awareness and introspection, core components of human consciousness. Therapies to restore consciousness in patients with severe brain injuries have historically targeted subcortical sites in the brainstem, thalamus, hypothalamus, basal forebrain, and basal ganglia, with the goal of reactivating cortical DMN nodes. However, the subcortical connectivity of the DMN has not been fully mapped, and optimal subcortical targets for therapeutic neuromodulation of consciousness have not been identified. In this work, we created a comprehensive map of DMN subcortical connectivity by combining high-resolution functional and structural datasets with advanced signal processing methods. We analyzed 7 Tesla resting-state functional MRI (rs-fMRI) data from 168 h</pubmed_abstract><journal>NeuroImage</journal><pubmed_title>Mapping the subcortical connectivity of the human default mode network.</pubmed_title><pmcid>PMC8945548</pmcid><funding_grant_id>S10 RR023401</funding_grant_id><funding_grant_id>U01 MH117023</funding_grant_id><funding_grant_id>RF1 MH123195</funding_grant_id><funding_grant_id>P41 EB015896</funding_grant_id><funding_grant_id>R01 NS083534</funding_grant_id><funding_grant_id>U01 MH093765</funding_grant_id><funding_grant_id>U01 NS086625</funding_grant_id><funding_grant_id>R01 AG016495</funding_grant_id><funding_grant_id>U24 NS100591</funding_grant_id><funding_grant_id>R01 NS070963</funding_grant_id><funding_grant_id>R01 GM121885</funding_grant_id><funding_grant_id>R01 EB023281</funding_grant_id><funding_grant_id>S10 RR019307</funding_grant_id><funding_grant_id>DP2 HD101400</funding_grant_id><funding_grant_id>S10 RR023043</funding_grant_id><funding_grant_id>R01 AG008122</funding_grant_id><funding_grant_id>RF1 MH121885</funding_grant_id><funding_grant_id>R21 EB018907</funding_grant_id><funding_grant_id>R01 NS052585</funding_grant_id><funding_grant_id>R21 NS072652</funding_grant_id><funding_grant_id>R01 EB019956</funding_grant_id><funding_grant_id>RF1 NS115268</funding_grant_id><funding_grant_id>R01 NS105820</funding_grant_id><funding_grant_id>R56 AG064027</funding_grant_id><funding_grant_id>P41 EB030006</funding_grant_id><funding_grant_id>R01 EB006758</funding_grant_id><funding_grant_id>R21 NS109627</funding_grant_id><funding_grant_id>R01 AG064027</funding_grant_id><pubmed_authors>Li J</pubmed_authors><pubmed_authors>Dougherty DD</pubmed_authors><pubmed_authors>Fischl B</pubmed_authors><pubmed_authors>Curley WH</pubmed_authors><pubmed_authors>Horn A</pubmed_authors><pubmed_authors>Edlow BL</pubmed_authors><pubmed_authors>Guerin B</pubmed_authors><pubmed_authors>Dalca AV</pubmed_authors></additional><is_claimable>false</is_claimable><name>Mapping the subcortical connectivity of the human default mode network.</name><description>The default mode network (DMN) mediates self-awareness and introspection, core components of human consciousness. Therapies to restore consciousness in patients with severe brain injuries have historically targeted subcortical sites in the brainstem, thalamus, hypothalamus, basal forebrain, and basal ganglia, with the goal of reactivating cortical DMN nodes. However, the subcortical connectivity of the DMN has not been fully mapped, and optimal subcortical targets for therapeutic neuromodulation of consciousness have not been identified. In this work, we created a comprehensive map of DMN subcortical connectivity by combining high-resolution functional and structural datasets with advanced signal processing methods. We analyzed 7 Tesla resting-state functional MRI (rs-fMRI) data from 168 h</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Dec</publication><modification>2025-04-21T23:19:04.694Z</modification><creation>2025-04-05T19:06:03.157Z</creation></dates><accession>S-EPMC8945548</accession><cross_references><pubmed>34838949</pubmed><doi>10.1016/j.neuroimage.2021.118758</doi></cross_references></HashMap>