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Prediction of stimulus-independent and task-unrelated thought from functional brain networks
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 bra...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979817/ https://www.ncbi.nlm.nih.gov/pubmed/33741956 http://dx.doi.org/10.1038/s41467-021-22027-0 |
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author | Kucyi, Aaron Esterman, Michael Capella, James Green, Allison Uchida, Mai Biederman, Joseph Gabrieli, John D. E. Valera, Eve M. Whitfield-Gabrieli, Susan |
author_facet | Kucyi, Aaron Esterman, Michael Capella, James Green, Allison Uchida, Mai Biederman, Joseph Gabrieli, John D. E. Valera, Eve M. Whitfield-Gabrieli, Susan |
author_sort | Kucyi, Aaron |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7979817 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79798172021-04-16 Prediction of stimulus-independent and task-unrelated thought from functional brain networks Kucyi, Aaron Esterman, Michael Capella, James Green, Allison Uchida, Mai Biederman, Joseph Gabrieli, John D. E. Valera, Eve M. Whitfield-Gabrieli, Susan Nat Commun Article 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. Nature Publishing Group UK 2021-03-19 /pmc/articles/PMC7979817/ /pubmed/33741956 http://dx.doi.org/10.1038/s41467-021-22027-0 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Kucyi, Aaron Esterman, Michael Capella, James Green, Allison Uchida, Mai Biederman, Joseph Gabrieli, John D. E. Valera, Eve M. Whitfield-Gabrieli, Susan Prediction of stimulus-independent and task-unrelated thought from functional brain networks |
title | Prediction of stimulus-independent and task-unrelated thought from functional brain networks |
title_full | Prediction of stimulus-independent and task-unrelated thought from functional brain networks |
title_fullStr | Prediction of stimulus-independent and task-unrelated thought from functional brain networks |
title_full_unstemmed | Prediction of stimulus-independent and task-unrelated thought from functional brain networks |
title_short | Prediction of stimulus-independent and task-unrelated thought from functional brain networks |
title_sort | prediction of stimulus-independent and task-unrelated thought from functional brain networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979817/ https://www.ncbi.nlm.nih.gov/pubmed/33741956 http://dx.doi.org/10.1038/s41467-021-22027-0 |
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