IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-39142-9.html
   My bibliography  Save this article

A dorsomedial prefrontal cortex-based dynamic functional connectivity model of rumination

Author

Listed:
  • Jungwoo Kim

    (Center for Neuroscience Imaging Research, Institute for Basic Science
    Sungkyunkwan University
    Sungkyunkwan University)

  • Jessica R. Andrews-Hanna

    (University of Arizona
    University of Arizona)

  • Hedwig Eisenbarth

    (Victoria University of Wellington)

  • Byeol Kim Lux

    (Center for Neuroscience Imaging Research, Institute for Basic Science
    Sungkyunkwan University
    Dartmouth College)

  • Hong Ji Kim

    (Center for Neuroscience Imaging Research, Institute for Basic Science
    Sungkyunkwan University
    Sungkyunkwan University)

  • Eunjin Lee

    (Center for Neuroscience Imaging Research, Institute for Basic Science
    Sungkyunkwan University
    Sungkyunkwan University)

  • Martin A. Lindquist

    (Johns Hopkins University)

  • Elizabeth A. Reynolds Losin

    (University of Miami
    Penn State University)

  • Tor D. Wager

    (Dartmouth College)

  • Choong-Wan Woo

    (Center for Neuroscience Imaging Research, Institute for Basic Science
    Sungkyunkwan University
    Sungkyunkwan University
    Life-inspired Neural Network for Prediction and Optimization Research Group)

Abstract

Rumination is a cognitive style characterized by repetitive thoughts about one’s negative internal states and is a common symptom of depression. Previous studies have linked trait rumination to alterations in the default mode network, but predictive brain markers of rumination are lacking. Here, we adopt a predictive modeling approach to develop a neuroimaging marker of rumination based on the variance of dynamic resting-state functional connectivity and test it across 5 diverse subclinical and clinical samples (total n = 288). A whole-brain marker based on dynamic connectivity with the dorsomedial prefrontal cortex (dmPFC) emerges as generalizable across the subclinical datasets. A refined marker consisting of the most important features from a virtual lesion analysis further predicts depression scores of adults with major depressive disorder (n = 35). This study highlights the role of the dmPFC in trait rumination and provides a dynamic functional connectivity marker for rumination.

Suggested Citation

  • Jungwoo Kim & Jessica R. Andrews-Hanna & Hedwig Eisenbarth & Byeol Kim Lux & Hong Ji Kim & Eunjin Lee & Martin A. Lindquist & Elizabeth A. Reynolds Losin & Tor D. Wager & Choong-Wan Woo, 2023. "A dorsomedial prefrontal cortex-based dynamic functional connectivity model of rumination," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39142-9
    DOI: 10.1038/s41467-023-39142-9
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-39142-9
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-023-39142-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. A. Turnbull & H. T. Wang & C. Murphy & N. S. P. Ho & X. Wang & M. Sormaz & T. Karapanagiotidis & R. M. Leech & B. Bernhardt & D. S. Margulies & D. Vatansever & E. Jefferies & J. Smallwood, 2019. "Left dorsolateral prefrontal cortex supports context-dependent prioritisation of off-task thought," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    2. Aaron Kucyi & Michael Esterman & James Capella & Allison Green & Mai Uchida & Joseph Biederman & John D. E. Gabrieli & Eve M. Valera & Susan Whitfield-Gabrieli, 2021. "Prediction of stimulus-independent and task-unrelated thought from functional brain networks," Nature Communications, Nature, vol. 12(1), pages 1-17, December.
    3. Scott Marek & Brenden Tervo-Clemmens & Finnegan J. Calabro & David F. Montez & Benjamin P. Kay & Alexander S. Hatoum & Meghan Rose Donohue & William Foran & Ryland L. Miller & Timothy J. Hendrickson &, 2022. "Reproducible brain-wide association studies require thousands of individuals," Nature, Nature, vol. 603(7902), pages 654-660, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Matthew Rosenblatt & Link Tejavibulya & Rongtao Jiang & Stephanie Noble & Dustin Scheinost, 2024. "Data leakage inflates prediction performance in connectome-based machine learning models," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    2. David J. Whiteside & Negin Holland & Kamen A. Tsvetanov & Elijah Mak & Maura Malpetti & George Savulich & P. Simon Jones & Michelle Naessens & Matthew A. Rouse & Tim D. Fryer & Young T. Hong & Frankli, 2023. "Synaptic density affects clinical severity via network dysfunction in syndromes associated with frontotemporal lobar degeneration," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    3. Zurrin, Riley & Wong, Samantha Tze Sum & Roes, Meighen M. & Percival, Chantal M. & Chinchani, Abhijit & Arreaza, Leo & Kusi, Mavis & Momeni, Ava & Rasheed, Maiya & Mo, Zhaoyi & Goghari, Vina M. & Wood, 2024. "Functional brain networks involved in the Raven's standard progressive matrices task and their relation to theories of fluid intelligence," Intelligence, Elsevier, vol. 103(C).
    4. Mohamed Abdelhack & Peter Zhukovsky & Milos Milic & Shreyas Harita & Michael Wainberg & Shreejoy J. Tripathy & John D. Griffiths & Sean L. Hill & Daniel Felsky, 2023. "Opposing brain signatures of sleep in task-based and resting-state conditions," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    5. Andrew D. Grotzinger & Travis T. Mallard & Zhaowen Liu & Jakob Seidlitz & Tian Ge & Jordan W. Smoller, 2023. "Multivariate genomic architecture of cortical thickness and surface area at multiple levels of analysis," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    6. Daria Antonenko & Anna Elisabeth Fromm & Friederike Thams & Ulrike Grittner & Marcus Meinzer & Agnes Flöel, 2023. "Microstructural and functional plasticity following repeated brain stimulation during cognitive training in older adults," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    7. Zhenfu Wen & Edward F. Pace-Schott & Sara W. Lazar & Jörgen Rosén & Fredrik Åhs & Elizabeth A. Phelps & Joseph E. LeDoux & Mohammed R. Milad, 2024. "Distributed neural representations of conditioned threat in the human brain," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    8. Rotem Botvinik-Nezer & Bogdan Petre & Marta Ceko & Martin A. Lindquist & Naomi P. Friedman & Tor D. Wager, 2024. "Placebo treatment affects brain systems related to affective and cognitive processes, but not nociceptive pain," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    9. Zi-Xuan Zhou & Xi-Nian Zuo, 2024. "Population imaging cerebellar growth for personalized neuroscience," Nature Communications, Nature, vol. 15(1), pages 1-4, December.
    10. Suhwan Gim & Dong Hee Lee & Sungwoo Lee & Choong-Wan Woo, 2024. "Interindividual differences in pain can be explained by fMRI, sociodemographic, and psychological factors," Nature Communications, Nature, vol. 15(1), pages 1-6, December.
    11. Bob Bramson & Sjoerd Meijer & Annelies Nuland & Ivan Toni & Karin Roelofs, 2023. "Anxious individuals shift emotion control from lateral frontal pole to dorsolateral prefrontal cortex," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    12. Dardo Tomasi & Nora D. Volkow, 2024. "Associations between handedness and brain functional connectivity patterns in children," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    13. Golia Shafiei & Ben D. Fulcher & Bradley Voytek & Theodore D. Satterthwaite & Sylvain Baillet & Bratislav Misic, 2023. "Neurophysiological signatures of cortical micro-architecture," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    14. Meike D. Hettwer & Lena Dorfschmidt & Lara M. C. Puhlmann & Linda M. Jacob & Casey Paquola & Richard A. I. Bethlehem & Edward T. Bullmore & Simon B. Eickhoff & Sofie L. Valk, 2024. "Longitudinal variation in resilient psychosocial functioning is associated with ongoing cortical myelination and functional reorganization during adolescence," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    15. Takamitsu Iwata & Takufumi Yanagisawa & Yuji Ikegaya & Jonathan Smallwood & Ryohei Fukuma & Satoru Oshino & Naoki Tani & Hui Ming Khoo & Haruhiko Kishima, 2024. "Hippocampal sharp-wave ripples correlate with periods of naturally occurring self-generated thoughts in humans," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    16. Jianzhong Chen & Angela Tam & Valeria Kebets & Csaba Orban & Leon Qi Rong Ooi & Christopher L. Asplund & Scott Marek & Nico U. F. Dosenbach & Simon B. Eickhoff & Danilo Bzdok & Avram J. Holmes & B. T., 2022. "Shared and unique brain network features predict cognitive, personality, and mental health scores in the ABCD study," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    17. Sadri, Arash, 2022. "The Ultimate Cause of the “Reproducibility Crisis”: Reductionist Statistics," MetaArXiv yxba5, Center for Open Science.
    18. Audrey C. Luo & Valerie J. Sydnor & Adam Pines & Bart Larsen & Aaron F. Alexander-Bloch & Matthew Cieslak & Sydney Covitz & Andrew A. Chen & Nathalia Bianchini Esper & Eric Feczko & Alexandre R. Franc, 2024. "Functional connectivity development along the sensorimotor-association axis enhances the cortical hierarchy," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    19. Shile Qi & Jing Sui & Godfrey Pearlson & Juan Bustillo & Nora I. Perrone-Bizzozero & Peter Kochunov & Jessica A. Turner & Zening Fu & Wei Shao & Rongtao Jiang & Xiao Yang & Jingyu Liu & Yuhui Du & Jia, 2022. "Derivation and utility of schizophrenia polygenic risk associated multimodal MRI frontotemporal network," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    20. Schubert, Anna-Lena & Löffler, Christoph & Wiebel, Clara & Kaulhausen, Florian & Baudson, Tanja Gabriele, 2024. "Don't waste your time measuring intelligence: Further evidence for the validity of a three-minute speeded reasoning test," Intelligence, Elsevier, vol. 102(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39142-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.