Santa Fe Institute Collaboration Platform

COMPLEX TIME: Adaptation, Aging, & Arrow of Time

Get Involved!
Contact: Caitlin Lorraine McShea, Program Manager, cmcshea@santafe.edu

Difference between revisions of "Natural speech reveals the semantic maps that tile human cerebral cortex"

From Complex Time
(Created page with "{{Reference Material |Meeting=Cognitive Regime Shift II - When/why/how the Brain Breaks |Added by=JackGallant |title=Natural speech reveals the semantic maps that tile human c...")
 
 
Line 3: Line 3:
 
|Added by=JackGallant
 
|Added by=JackGallant
 
|title=Natural speech reveals the semantic maps that tile human cerebral cortex
 
|title=Natural speech reveals the semantic maps that tile human cerebral cortex
 +
|authors=Alexander G. Huth;Wendy A. De Heer;Thomas L. Griffiths;Frédéric E. Theunissen;Jack L. Gallant
 
|type=journal
 
|type=journal
 
|year=2016
 
|year=2016
Line 12: Line 13:
 
|pui=610117630
 
|pui=610117630
 
|abstract=The meaning of language is represented in regions of the cerebral cortex collectively known as the ‘semantic system’. However, little of the semantic system has been mapped comprehensively, and the semantic selectivity of most regions is unknown. Here we systematically map semantic selectivity across the cortex using voxel-wise modelling of functional MRI (fMRI) data collected while subjects listened to hours of narrative stories. We show that the semantic system is organized into intricate patterns that seem to be consistent across individuals. We then use a novel generative model to create a detailed semantic atlas. Our results suggest that most areas within the semantic system represent information about specific semantic domains, or groups of related concepts, and our atlas shows which domains are represented in each area. This study demonstrates that data-driven methods—commonplace in studies of human neuroanatomy and functional connectivity—provide a powerful and efficient means for mapping functional representations in the brain.
 
|abstract=The meaning of language is represented in regions of the cerebral cortex collectively known as the ‘semantic system’. However, little of the semantic system has been mapped comprehensively, and the semantic selectivity of most regions is unknown. Here we systematically map semantic selectivity across the cortex using voxel-wise modelling of functional MRI (fMRI) data collected while subjects listened to hours of narrative stories. We show that the semantic system is organized into intricate patterns that seem to be consistent across individuals. We then use a novel generative model to create a detailed semantic atlas. Our results suggest that most areas within the semantic system represent information about specific semantic domains, or groups of related concepts, and our atlas shows which domains are represented in each area. This study demonstrates that data-driven methods—commonplace in studies of human neuroanatomy and functional connectivity—provide a powerful and efficient means for mapping functional representations in the brain.
|Mendeley link=http://www.mendeley.com/research/natural-speech-reveals-semantic-maps-tile-human-cerebral-cortex-1
+
|Mendeley link=http://www.mendeley.com/research/natural-speech-reveals-semantic-maps-tile-human-cerebral-cortex
 
|month=4
 
|month=4
 
|day=27
 
|day=27

Latest revision as of 21:52, November 13, 2019

Category
General Reference
author-supplied keywords
keywords
authors
Alexander G. Huth
Wendy A. De Heer
Thomas L. Griffiths
Frédéric E. Theunissen
Jack L. Gallant
title
Natural speech reveals the semantic maps that tile human cerebral cortex
type
journal
year
2016
source
Nature
pages
453-458
volume
532
issue
7600
publisher
Nature Publishing Group

Abstract

The meaning of language is represented in regions of the cerebral cortex collectively known as the ‘semantic system’. However, little of the semantic system has been mapped comprehensively, and the semantic selectivity of most regions is unknown. Here we systematically map semantic selectivity across the cortex using voxel-wise modelling of functional MRI (fMRI) data collected while subjects listened to hours of narrative stories. We show that the semantic system is organized into intricate patterns that seem to be consistent across individuals. We then use a novel generative model to create a detailed semantic atlas. Our results suggest that most areas within the semantic system represent information about specific semantic domains, or groups of related concepts, and our atlas shows which domains are represented in each area. This study demonstrates that data-driven methods—commonplace in studies of human neuroanatomy and functional connectivity—provide a powerful and efficient means for mapping functional representations in the brain.

Counts

Citation count From Scopus. Refreshed every 5 days.
Page views
14

Identifiers

  • doi: 10.1038/nature17637 (Google search)
  • issn: 14764687
  • sgr: 84964849126
  • scopus: 2-s2.0-84964849126
  • pui: 610117630

Related files

Add a file