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dc.contributor.authorPatael, Smadar Z.
dc.contributor.authorFarris, Emily A.
dc.contributor.authorBlack, Jessica M.
dc.contributor.authorHancock, Roeland
dc.contributor.authorGabrieli, John D. E.
dc.contributor.authorCutting, Laurie E.
dc.contributor.authorHoeft, Fumiko
dc.date.accessioned2019-10-07T20:47:25Z
dc.date.available2019-10-07T20:47:25Z
dc.date.issued2018-06
dc.date.submitted2016-10
dc.identifier.issn1932-6203
dc.identifier.urihttps://hdl.handle.net/1721.1/122460
dc.description.abstractThis 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. Objective The ultimate goal of reading is to understand written text. To accomplish this, children must first master decoding, the ability to translate printed words into sounds. Although decoding and reading comprehension are highly interdependent, some children struggle to decode but comprehend well, whereas others with good decoding skills fail to comprehend. The neural basis underlying individual differences in this discrepancy between decoding and comprehension abilities is virtually unknown. Methods We investigated the neural basis underlying reading discrepancy, defined as the difference between reading comprehension and decoding skills, in a three-part study: 1) The neuroanatomical basis of reading discrepancy in a cross-sectional sample of school-age children with a wide range of reading abilities (Experiment-1; n = 55); 2) Whether a discrepancy-related neural signature is present in beginning readers and predictive of future discrepancy (Experiment-2; n = 43); and 3) Whether discrepancy-related regions are part of a domain-general or a language specialized network, utilizing the 1000 Functional Connectome data and large-scale reverse inference from Neurosynth.org (Experiment-3). Results Results converged onto the left dorsolateral prefrontal cortex (DLPFC), as related to having discrepantly higher reading comprehension relative to decoding ability. Increased gray matter volume (GMV) was associated with greater discrepancy (Experiment-1). Region-of-interest (ROI) analyses based on the left DLPFC cluster identified in Experiment-1 revealed that regional GMV within this ROI in beginning readers predicted discrepancy three years later (Experiment-2). This region was associated with the fronto-parietal network that is considered fundamental for working memory and cognitive control (Experiment-3). Interpretation Processes related to the prefrontal cortex might be linked to reading discrepancy. The findings may be important for understanding cognitive resilience, which we operationalize as those individuals with greater higher-order reading skills such as reading comprehension compared to lower-order reading skills such as decoding skills. Our study provides insights into reading development, existing theories of reading, and cognitive processes that are potentially significant to a wide range of reading disorders.en_US
dc.description.sponsorshipNational Institute of Child Health and Human Development (U.S.) (Grant K23HD054720)en_US
dc.language.isoen
dc.publisherPublic Library of Science (PLoS)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/journal.pone.0198791en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourcePLoSen_US
dc.titleBrain basis of cognitive resilience: Prefrontal cortex predicts better reading comprehension in relation to decodingen_US
dc.typeArticleen_US
dc.identifier.citationPatael, Smadar Z. et al. "Brain basis of cognitive resilience: Prefrontal cortex predicts better reading comprehension in relation to decoding." PLoS One 13, 6 (June 2018): e0198791 ©2018 The Authorsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentMcGovern Institute for Brain Research at MITen_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.relation.journalPLoS Oneen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2019-10-01T13:41:38Z
dspace.date.submission2019-10-01T13:41:42Z
mit.journal.volume13en_US
mit.journal.issue6en_US


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