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  Neural dynamics of spontaneous thought: An electroencephalographic study

Girn, M., Mills, C., Laycock, E., Ellamil, M., Ward, L., & Christoff, K. (2017). Neural dynamics of spontaneous thought: An electroencephalographic study. In Augmented cognition: Neurocognition and machine learning (pp. 28-44). Cham: Springer. doi:10.1007/978-3-319-58628-1_3.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-95E9-F Version Permalink: http://hdl.handle.net/21.11116/0000-0002-95EA-E
Genre: Conference Paper

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 Creators:
Girn, Manesh 1, Author
Mills, Caitlin 1, Author
Laycock, Eric 1, Author
Ellamil, Melissa2, Author              
Ward, Lawrence 1, Author
Christoff, Kalina 1, Author
Affiliations:
1University of British Columbia, Vancouver, BC, Canada, ou_persistent22              
2Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_1356546              

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Free keywords: Spontaneous thought; Neural dynamics; Electroencephalography; Default mode network; Frontoparietal control network; Independent-component analysis
 Abstract: Spontaneous thinking is a ubiquitous aspect of our mental life and has increasingly become a hot topic of research in cognitive neuroscience. To date, functional neuroimaging studies of spontaneous thought have revealed general brain recruitment centered on a combination of default mode network and executive regions. Despite recent findings about general brain recruitment, very little is known about how these regions are recruited dynamically over time. The current research addresses this gap in the literature by using EEG to investigate the fine-grained temporal dynamics of brain activity underlying spontaneous thoughts. We employed the first-person reports of experienced meditators to index the onset of spontaneous thoughts, and examined brain electrical activity preceding indications of spontaneous thought onset. An independent component analysis-based source localization procedure recovered sources very similar to those previously found with fMRI (Ellamil et al. in NeuroImage 136:186–196, 2016). In addition, phase synchrony analyses revealed a temporal trajectory that begins with default network midline and salience network connectivity, followed by the incorporation of language and executive regions during the period from thought generation to appraisal.

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Language(s): eng - English
 Dates: 2017-05-18
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1007/978-3-319-58628-1_3
 Degree: -

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Title: Augmented cognition: Neurocognition and machine learning
Source Genre: Proceedings
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Publ. Info: Cham : Springer
Pages: - Volume / Issue: AC 2017 Sequence Number: - Start / End Page: 28 - 44 Identifier: ISBN: 978-3-319-58627-4