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dc.contributor.authorKillgore, W.D.S.
dc.contributor.authorJankowski, S.
dc.contributor.authorHenderson-Arredondo, K.
dc.contributor.authorLucas, D.A.
dc.contributor.authorPatel, S.I.
dc.contributor.authorHildebrand, L.L.
dc.contributor.authorHuskey, A.
dc.contributor.authorDailey, N.S.
dc.date.accessioned2024-04-02T17:48:51Z
dc.date.available2024-04-02T17:48:51Z
dc.date.issued2023-10-04
dc.identifier.citationKillgore, William D.S.; Jankowski, Samantha; Henderson-Arredondo, Kymberly; Lucas, Daniel A.; Patel, Salma I.; Hildebrand, Lindsey L.; Huskey, Alisa; Dailey, Natalie S.. Functional connectivity of the default mode network predicts subsequent polysomnographically measured sleep in people with symptoms of insomnia. NeuroReport 34(14):p 734-740, October 04, 2023. | DOI: 10.1097/WNR.0000000000001949
dc.identifier.issn1473-558X
dc.identifier.pmid37605926
dc.identifier.doi10.1097/WNR.0000000000001949
dc.identifier.urihttp://hdl.handle.net/10150/672161
dc.description.abstractInsomnia is often accompanied by excessive pre-sleep rumination. Such ruminative thinking is also associated with increased connectivity of the default mode network (DMN). It is likely that DMN connectivity and associated rumination contribute to the pathogenesis of insomnia. We hypothesized that resting state functional connectivity (rsFC) between the DMN and other brain regions prior to bedtime would predict objectively measured sleep among individuals with insomnia. Twenty participants (12 female; M age = 26.9, SD = 6.6 years) with symptoms of insomnia underwent an rsFC scan in the early evening followed by a night of polysomographically (PSG) measured sleep. Connectivity of the DMN with other brain regions was regressed against several PSG sleep metrics, including time in wake, N1, N2, N3, REM, total sleep time (TST), and sleep efficiency (SE) at a cluster corrected false discovery rate (FDR) correction P < 0.05. The connectivity between DMN and cortical regions was negatively correlated with PSG indices of poorer sleep including time in wake (right angular gyrus) and N1 (precuneus) but positively correlated with time in REM (orbitofrontal cortex), TST (insula, orbitofrontal cortex, superior frontal gyrus, paracingulate gyrus), SE (orbitofrontal cortex). Connectivity between DMN and the pons was negatively correlated with SE. Among individuals with symptoms of insomnia, better sleep was predicted by rsFC between the DMN and cortical regions involved in executive functioning, consciousness, and complex cognition. Findings raise the possibility that future interventions aimed at suppressing pre-sleep DMN activation may weaken synergy between pre-sleep ruminative worry and complex cognitions, potentially ameliorating problems falling asleep. Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc.
dc.language.isoen
dc.publisherLIPPINCOTT WILLIAMS & WILKINS
dc.rights© 2023 The Author(s). Published by Wolters Kluwer Health, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CC BY-NC-ND).
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleFunctional connectivity of the default mode network predicts subsequent polysomnographically measured sleep in people with symptoms of insomnia
dc.typeArticle
dc.typetext
dc.contributor.departmentSocial, Cognitive, Affective Neuroscience Laboratory, Department of Psychiatry, University of Arizona
dc.identifier.journalNeuroreport
dc.description.noteOpen access article
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
dc.eprint.versionFinal Published Version
dc.source.journaltitleNeuroreport
refterms.dateFOA2024-04-02T17:48:51Z


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© 2023 The Author(s). Published by Wolters Kluwer Health, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CC BY-NC-ND).
Except where otherwise noted, this item's license is described as © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CC BY-NC-ND).