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  A correspondence between individual differences in the brain's intrinsic functional architecture and the content and form of self-generated thoughts

Gorgolewski, K. J., Lurie, D., Urchs, S., Kipping, J., Craddock, R. C., Milham, M. P., et al. (2014). A correspondence between individual differences in the brain's intrinsic functional architecture and the content and form of self-generated thoughts. PLoS One, 9(5): e97176. doi:10.1371/journal.pone.0097176.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-001A-280C-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-8029-E
Genre: Journal Article

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© 2014 Gorgolewski et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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 Creators:
Gorgolewski, Krzysztof J.1, Author              
Lurie, Dan2, Author
Urchs, Sebastian1, Author              
Kipping, Judy3, Author              
Craddock, R. Cameron2, 4, Author
Milham, Michael P.2, 4, Author
Margulies, Daniel S.1, Author              
Smallwood, Jonathan5, Author              
Affiliations:
1Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_1356546              
2Child Mind Institute, New York, NY, USA, ou_persistent22              
3Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
4Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA, ou_persistent22              
5Department of Psychology, University of York, Heslington, United Kingdom, ou_persistent22              

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 Abstract: Although neural activity often reflects the processing of external inputs, intrinsic fluctuations in activity have been observed throughout the brain. These may relate to patterns of self-generated thought that can occur while not performing goal-driven tasks. To understand the relationship between self-generated mental activity and intrinsic neural fluctuations, we developed the New York Cognition Questionnaire (NYC-Q) to assess the content and form of an individual's experiences during the acquisition of resting-state fMRI data. The data were collected as a part of the Nathan Kline Rockland Enhanced sample. We decomposed NYC-Q scores using exploratory factor analysis and found that self-reported thoughts clustered into distinct dimensions of content (future related, past related, positive, negative, and social) and form (words, images, and specificity). We used these components to perform an individual difference analysis exploring how differences in the types of self-generated thoughts relate to whole brain measures of intrinsic brain activity (fractional amplitude of low frequency fluctuations, regional homogeneity, and degree centrality). We found patterns of self-generated thoughts related to changes that were distributed across a wide range of cortical areas. For example, individuals who reported greater imagery exhibited greater low frequency fluctuations in a region of perigenual cingulate cortex, a region that is known to participate in the so-called default-mode network. We also found certain forms of thought were associated with other areas, such as primary visual cortex, the insula, and the cerebellum. For example, individuals who reported greater future thought exhibited less homogeneous neural fluctuations in a region of lateral occipital cortex, a result that is consistent with the claim that particular types of self-generated thought depend on processes that are decoupled from sensory processes. These data provide evidence that self-generated thought is a heterogeneous category of experience and that studying its content can be helpful in understanding brain dynamics.

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Language(s): eng - English
 Dates: 2013-09-092014-04-162014-05-13
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1371/journal.pone.0097176
PMID: 24824880
PMC: PMC4019564
 Degree: -

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Title: PLoS One
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 9 (5) Sequence Number: e97176 Start / End Page: - Identifier: ISSN: 1932-6203
CoNE: /journals/resource/1000000000277850