Optimally Efficient Neural Systems for Processing Spoken Language. (18th December 2012)
- Record Type:
- Journal Article
- Title:
- Optimally Efficient Neural Systems for Processing Spoken Language. (18th December 2012)
- Main Title:
- Optimally Efficient Neural Systems for Processing Spoken Language
- Authors:
- Zhuang, Jie
Tyler, Lorraine K.
Randall, Billi
Stamatakis, Emmanuel A.
Marslen-Wilson, William D. - Abstract:
- Abstract : Cognitive models claim that spoken words are recognized by an optimally efficient sequential analysis process. Evidence for this is the finding that nonwords are recognized as soon as they deviate from all real words ( Marslen-Wilson 1984 ), reflecting continuous evaluation of speech inputs against lexical representations. Here, we investigate the brain mechanisms supporting this core aspect of word recognition and examine the processes of competition and selection among multiple word candidates. Based on new behavioral support for optimal efficiency in lexical access from speech, a functional magnetic resonance imaging study showed that words with later nonword points generated increased activation in the left superior and middle temporal gyrus (Brodmann area [BA] 21/22), implicating these regions in dynamic sound-meaning mapping. We investigated competition and selection by manipulating the number of initially activated word candidates (competition) and their later drop-out rate (selection). Increased lexical competition enhanced activity in bilateral ventral inferior frontal gyrus (BA 47/45), while increased lexical selection demands activated bilateral dorsal inferior frontal gyrus (BA 44/45). These findings indicate functional differentiation of the fronto-temporal systems for processing spoken language, with left middle temporal gyrus (MTG) and superior temporal gyrus (STG) involved in mapping sounds to meaning, bilateral ventral inferior frontal gyrus (IFG)Abstract : Cognitive models claim that spoken words are recognized by an optimally efficient sequential analysis process. Evidence for this is the finding that nonwords are recognized as soon as they deviate from all real words ( Marslen-Wilson 1984 ), reflecting continuous evaluation of speech inputs against lexical representations. Here, we investigate the brain mechanisms supporting this core aspect of word recognition and examine the processes of competition and selection among multiple word candidates. Based on new behavioral support for optimal efficiency in lexical access from speech, a functional magnetic resonance imaging study showed that words with later nonword points generated increased activation in the left superior and middle temporal gyrus (Brodmann area [BA] 21/22), implicating these regions in dynamic sound-meaning mapping. We investigated competition and selection by manipulating the number of initially activated word candidates (competition) and their later drop-out rate (selection). Increased lexical competition enhanced activity in bilateral ventral inferior frontal gyrus (BA 47/45), while increased lexical selection demands activated bilateral dorsal inferior frontal gyrus (BA 44/45). These findings indicate functional differentiation of the fronto-temporal systems for processing spoken language, with left middle temporal gyrus (MTG) and superior temporal gyrus (STG) involved in mapping sounds to meaning, bilateral ventral inferior frontal gyrus (IFG) engaged in less constrained early competition processing, and bilateral dorsal IFG engaged in later, more fine-grained selection processes. … (more)
- Is Part Of:
- Cerebral cortex. Volume 24:Number 4(2014:Apr.)
- Journal:
- Cerebral cortex
- Issue:
- Volume 24:Number 4(2014:Apr.)
- Issue Display:
- Volume 24, Issue 4 (2014)
- Year:
- 2014
- Volume:
- 24
- Issue:
- 4
- Issue Sort Value:
- 2014-0024-0004-0000
- Page Start:
- 908
- Page End:
- 918
- Publication Date:
- 2012-12-18
- Subjects:
- spoken word recognition -- lexical competition -- lexical selection -- inferior frontal gyrus -- cohort model
Cerebral cortex -- Periodicals
Brain -- Periodicals
612.825 - Journal URLs:
- http://cercor.oupjournals.org ↗
http://cercor.oxfordjournals.org ↗
http://www.ncbi.nlm.nih.gov/pmc/?term=%22Cereb ↗
http://ukcatalogue.oup.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1093/cercor/bhs366 ↗
- Languages:
- English
- ISSNs:
- 1047-3211
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3120.027550
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21662.xml