Staff View
Reversing the Standard Neural Signature of the Word–Nonword Distinction

Descriptive

TypeOfResource
Text
TitleInfo
Title
Reversing the Standard Neural Signature of the Word–Nonword Distinction
Identifier (type = pmcid)
PMC5193100
Identifier (type = nihmsid)
27574917
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 = personal)
NamePart (type = family)
Boukrina
NamePart (type = given)
Olga
Affiliation
Kessler Foundation
Role
RoleTerm (type = text); (authority = marcrt)
author
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)
Alexander
NamePart (type = given)
Edward J.
Affiliation
Tufts University
Role
RoleTerm (type = text); (authority = marcrt)
author
Name (type = personal)
NamePart (type = family)
Baillet
NamePart (type = given)
Sylvain
Affiliation
McGill 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
Note (type = special display note)
"© 2016 Massachusetts Institute of Technology"
OriginInfo
DateIssued (encoding = w3cdtf); (qualifier = exact); (keyDate = yes)
2017
CopyrightDate (encoding = w3cdtf)
2016
Abstract (type = Abstract)
The distinction between letter strings that form words and those that look and sound plausible but are not meaningful is a basic one. Decades of functional neuroimaging experiments have used this distinction to isolate the neural basis of lexical (word-level) semantics, associated with areas such as the middle temporal, angular, and posterior cingulate gyri that overlap the default-mode network. In two functional magnetic resonance imaging (fMRI) experiments, a different set of findings emerged when word stimuli were used that were less familiar (measured by word frequency) than those typically used. Instead of activating default-mode network areas often associated with semantic processing, words activated task-positive areas such as the inferior prefrontal cortex and supplementary motor area, along with multi-functional ventral occipito-temporal cortices related to reading, while nonwords activated default-mode areas previously associated with semantics. Effective connectivity analyses of fMRI data on less familiar words showed activation driven by task-positive and multi-functional reading-related areas, while highly familiar words showed bottom-up activation flow from occipito-temporal cortex. These findings suggest functional neuroimaging correlates of semantic processing are less stable than previously assumed, with factors such as word frequency influencing the balance between task-positive, reading-related, and default-mode networks. More generally, this suggests results of contrasts typically interpreted in terms of semantic content may be more influenced by factors related to task difficulty than is widely appreciated.
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
PhysicalDescription
InternetMediaType
application/pdf
Extent
16 p.
Subject (authority = local)
Topic
Semantics
Subject (authority = local)
Topic
Functional MRI
Subject (authority = local)
Topic
Higher level cognition
Subject (authority = local)
Topic
Neuroimaging
Extension
DescriptiveEvent
Type
Citation
DateTime (encoding = w3cdtf)
2017
AssociatedObject
Name
Journal of Cognitive Neuroscience
Type
Journal
Relationship
Has part
Detail
79-94
Identifier (type = volume and issue)
29(1)
Reference (type = url)
http://dx.doi.org/10.1162/jocn_a_01022
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
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/T39G5R0Q
Back to the top

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
Notice
"© 2016 Massachusetts Institute of Technology"
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.
RightsHolder (type = corporate)
Name
Massachusetts Institute of Technology
Role
Copyright holder
Back to the top

Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
Document
CreatingApplication
Version
1.3
ApplicationName
Mac OS X 10.12.6 Quartz PDFContext
DateCreated (point = start); (encoding = w3cdtf); (qualifier = exact)
2018-02-05T02:06:07
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2018-02-05T02:06:07
Back to the top
Version 8.3.13
Rutgers University Libraries - Copyright ©2020