Prediction of stimulus-independent and task-unrelated thought from functional brain networks
Aaron Kucyi (),
Michael Esterman,
James Capella,
Allison Green,
Mai Uchida,
Joseph Biederman,
John D. E. Gabrieli,
Eve M. Valera and
Susan Whitfield-Gabrieli
Additional contact information
Aaron Kucyi: Northeastern University
Michael Esterman: Veterans Administration Boston Healthcare System
James Capella: Massachusetts Institute of Technology
Allison Green: Massachusetts General Hospital
Mai Uchida: Massachusetts General Hospital
Joseph Biederman: Massachusetts General Hospital
John D. E. Gabrieli: Massachusetts Institute of Technology
Eve M. Valera: Harvard Medical School
Susan Whitfield-Gabrieli: Northeastern University
Nature Communications, 2021, vol. 12, issue 1, 1-17
Abstract:
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.
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.nature.com/articles/s41467-021-22027-0 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-22027-0
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/s41467-021-22027-0
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().