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Duality of Function: Activation for Meaningless Nonwords and Semantic Codes in the Same Brain Areas

Descriptive

TypeOfResource
Text
TitleInfo
Title
Duality of Function: Activation for Meaningless Nonwords and Semantic Codes in the Same Brain Areas
Name (type = personal)
NamePart (type = family)
Mattheiss
NamePart (type = given)
Samantha R.
Affiliation
Psychology (Newark), Rutgers University
Role
RoleTerm (type = text); (authority = marcrt)
author
Name (type = personal)
NamePart (type = family)
Levinson
NamePart (type = given)
Hillary
Affiliation
Psychology (Newark), Rutgers University
Role
RoleTerm (type = text); (authority = marcrt)
author
Name (type = personal); (authority = orcid); (authorityURI = http://id.loc.gov/vocabulary/identifiers/orcid.html); (valueURI = http://orcid.org/0000-0003-1590-2667)
NamePart (type = family)
Graves
NamePart (type = given)
William W.
Affiliation
Psychology (Newark), Rutgers University
Role
RoleTerm (type = text); (authority = marcrt)
author
Name (type = corporate); (authority = RutgersOrg-Department)
NamePart
Psychology (Newark)
Name (type = corporate); (authority = RutgersOrg-School)
NamePart
Newark College of Arts and Sciences
Genre (authority = RULIB-FS)
Article, Refereed
Genre (authority = NISO JAV)
Version of Record (VoR)
Note (type = peerReview)
Peer reviewed
OriginInfo
DateIssued (encoding = w3cdtf); (keyDate = yes)
2018
Abstract (type = Abstract)
Studies of the neural substrates of semantic (word meaning) processing have typically focused on semantic manipulations, with less consideration for potential differences in difficulty across conditions. While the idea that particular brain regions can support multiple functions is widely accepted, studies of specific cognitive domains rarely test for co-location with other functions. Here we start with standard univariate analyses comparing words to meaningless nonwords, replicating our recent finding that this contrast can activate task-positive regions for words, and default-mode regions in the putative semantic network for nonwords, pointing to difficulty effects. Critically, this was followed up with a multivariate analysis to test whether the same areas activated for meaningless nonwords contained semantic information sufficient to distinguish high- from low-imageability words. Indeed, this classification was performed reliably better than chance at 75% accuracy. This is compatible with two non-exclusive interpretations. Numerous areas in the default-mode network are task-negative in the sense of activating for less demanding conditions, and the same areas contain information supporting semantic cognition. Therefore, while areas of the default mode network have been hypothesized to support semantic cognition, we offer evidence that these areas can respond to both domain-general difficulty effects, and to specific aspects of semantics.
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
PhysicalDescription
InternetMediaType
application/pdf
Extent
9 pages
Subject (authority = local)
Topic
Difficulty effects
Subject (authority = local)
Topic
fMRI
Subject (authority = local)
Topic
MVPA
Subject (authority = local)
Topic
Reading
Subject (authority = local)
Topic
Word recognition
Extension
DescriptiveEvent
Type
Citation
DateTime (encoding = w3cdtf)
2018
AssociatedObject
Name
Cerebral Cortex
Type
Journal
Relationship
Has part
Detail
2516-2524
Identifier (type = volume and issue)
28(7)
Reference (type = url)
https://doi.org/10.1093/cercor/bhy053
Extension
DescriptiveEvent
Type
Grant award
AssociatedEntity
Role
Funder
Name
National Institutes of Health
AssociatedEntity
Role
Originator
Name
William Graves
AssociatedObject
Type
Grant number
Name
K99/R00 HD065839
RelatedItem (type = host)
TitleInfo
Title
Graves, William W.
Identifier (type = local)
rucore30159500001
RelatedItem (type = host)
TitleInfo
Title
Levinson, Hillary
Identifier (type = local)
rucore30252400001
RelatedItem (type = host)
TitleInfo
Title
Mattheiss, Samantha R.
Identifier (type = local)
rucore30245400001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T31Z47SS
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Rights

RightsDeclaration (AUTHORITY = FS); (TYPE = [FS] statement #1); (ID = rulibRdec0004)
Copyright for scholarly resources published in RUcore is retained by the copyright holder. By virtue of its appearance in this open access medium, you are free to use this resource, with proper attribution, in educational and other non-commercial settings. Other uses, such as reproduction or republication, may require the permission of the copyright holder.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsEvent
Type
Permission or license
AssociatedObject
Type
License
Name
Multiple author license v. 1
Detail
I hereby grant to Rutgers, The State University of New Jersey (Rutgers) the non-exclusive right to retain, reproduce, and distribute the deposited work (Work) in whole or in part, in and from its electronic format, without fee. This agreement does not represent a transfer of copyright to Rutgers.Rutgers may make and keep more than one copy of the Work for purposes of security, backup, preservation, and access and may migrate the Work to any medium or format for the purpose of preservation and access in the future. Rutgers will not make any alteration, other than as allowed by this agreement, to the Work.I represent and warrant to Rutgers that the Work is my original work. I also represent that the Work does not, to the best of my knowledge, infringe or violate any rights of others.I further represent and warrant that I have obtained all necessary rights to permit Rutgers to reproduce and distribute the Work and that any third-party owned content is clearly identified and acknowledged within the Work.By granting this license, I acknowledge that I have read and agreed to the terms of this agreement and all related RUcore and Rutgers policies.
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Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
Document
CreatingApplication
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1.4
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Mac OS X 10.12.6 Quartz PDFContext
DateCreated (point = start); (encoding = w3cdtf); (qualifier = exact)
2018-06-18T15:05:30
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2018-06-18T15:05:30
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