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Mapping language function with task-based vs. resting-state functional MRI

Authors :
Carl D. Hacker
Donna L. Dierker
Tammie L.S. Benzinger
Mikhail Milchenko
Ki Yun Park
Abraham Z. Snyder
John J. Lee
Michelle M. Miller-Thomas
Joshua S. Shimony
Eric C. Leuthardt
Daniel S. Marcus
Jarod L. Roland
Laura M. Marple
Zhang, Han
Source :
PloS one, vol 15, iss 7, PLoS ONE, PLoS ONE, Vol 15, Iss 7, p e0236423 (2020)
Publication Year :
2020
Publisher :
eScholarship, University of California, 2020.

Abstract

Author(s): Park, Ki Yun; Lee, John J; Dierker, Donna; Marple, Laura M; Hacker, Carl D; Roland, Jarod L; Marcus, Daniel S; Milchenko, Mikhail; Miller-Thomas, Michelle M; Benzinger, Tammie L; Shimony, Joshua S; Snyder, Abraham Z; Leuthardt, Eric C | Abstract: BackgroundUse of functional MRI (fMRI) in pre-surgical planning is a non-invasive method for pre-operative functional mapping for patients with brain tumors, especially tumors located near eloquent cortex. Currently, this practice predominantly involves task-based fMRI (T-fMRI). Resting state fMRI (RS-fMRI) offers an alternative with several methodological advantages. Here, we compare group-level analyses of RS-fMRI vs. T-fMRI as methods for language localization.PurposeTo contrast RS-fMRI vs. T-fMRI as techniques for localization of language function.MethodsWe analyzed data obtained in 35 patients who had both T-fMRI and RS-fMRI scans during the course of pre-surgical evaluation. The RS-fMRI data were analyzed using a previously trained resting-state network classifier. The T-fMRI data were analyzed using conventional techniques. Group-level results obtained by both methods were evaluated in terms of two outcome measures: (1) inter-subject variability of response magnitude and (2) sensitivity/specificity analysis of response topography, taking as ground truth previously reported maps of the language system based on intraoperative cortical mapping as well as meta-analytic maps of language task fMRI responses.ResultsBoth fMRI methods localized major components of the language system (areas of Broca and Wernicke) although not with equal inter-subject consistency. Word-stem completion T-fMRI strongly activated Broca's area but also several task-general areas not specific to language. RS-fMRI provided a more specific representation of the language system.ConclusionWe demonstrate several advantages of classifier-based mapping of language representation in the brain. Language T-fMRI activated task-general (i.e., not language-specific) functional systems in addition to areas of Broca and Wernicke. In contrast, classifier-based analysis of RS-fMRI data generated maps confined to language-specific regions of the brain.

Details

Database :
OpenAIRE
Journal :
PloS one, vol 15, iss 7, PLoS ONE, PLoS ONE, Vol 15, Iss 7, p e0236423 (2020)
Accession number :
edsair.doi.dedup.....5c097d7438448749c6ccd73d0ed38352