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Prediction of stimulus-independent and task-unrelated thought from functional brain networks

Author

Listed:
  • Aaron Kucyi

    (Northeastern University)

  • Michael Esterman

    (Veterans Administration Boston Healthcare System
    Boston University School of Medicine)

  • James Capella

    (Massachusetts Institute of Technology)

  • Allison Green

    (Massachusetts General Hospital)

  • Mai Uchida

    (Massachusetts General Hospital
    Harvard Medical School)

  • Joseph Biederman

    (Massachusetts General Hospital
    Harvard Medical School)

  • John D. E. Gabrieli

    (Massachusetts Institute of Technology
    Massachusetts Institute of Technology and Harvard University)

  • Eve M. Valera

    (Harvard Medical School
    Massachusetts General Hospital)

  • Susan Whitfield-Gabrieli

    (Northeastern University)

Abstract

Neural substrates of “mind wandering” have been widely reported, yet experiments have varied in their contexts and their definitions of this psychological phenomenon, limiting generalizability. We aimed to develop and test the generalizability, specificity, and clinical relevance of a functional brain network-based marker for a well-defined feature of mind wandering—stimulus-independent, task-unrelated thought (SITUT). Combining functional MRI (fMRI) with online experience sampling in healthy adults, we defined a connectome-wide model of inter-regional coupling—dominated by default-frontoparietal control subnetwork interactions—that predicted trial-by-trial SITUT fluctuations within novel individuals. Model predictions generalized in an independent sample of adults with attention-deficit/hyperactivity disorder (ADHD). In three additional resting-state fMRI studies (total n = 1115), including healthy individuals and individuals with ADHD, we demonstrated further prediction of SITUT (at modest effect sizes) defined using multiple trait-level and in-scanner measures. Our findings suggest that SITUT is represented within a common pattern of brain network interactions across time scales and contexts.

Suggested Citation

  • 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.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-22027-0
    DOI: 10.1038/s41467-021-22027-0
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    Cited by:

    1. 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.

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