Document Detail


Comparing segmentation by time and by motion in visual search: an FMRI investigation.
MedLine Citation:
PMID:  20617891     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Brain activity was recorded while participants engaged in a difficult visual search task for a target defined by the spatial configuration of its component elements. The search displays were segmented by time (a preview then a search display), by motion, or were unsegmented. A preparatory network showed activity to the preview display, in the time but not in the motion segmentation condition. A region of the precuneus showed (i) higher activation when displays were segmented by time or by motion, and (ii) correlated activity with larger segmentation benefits behaviorally, regardless of the cue. Additionally, the results revealed that success in temporal segmentation was correlated with reduced activation in early visual areas, including V1. The results depict partially overlapping brain networks for segmentation in search by time and motion, with both cue-independent and cue-specific mechanisms.
Authors:
Kevin Dent; Harriet Allen; Glyn W Humphreys
Publication Detail:
Type:  Journal Article     Date:  2010-07-09
Journal Detail:
Title:  Journal of cognitive neuroscience     Volume:  23     ISSN:  1530-8898     ISO Abbreviation:  J Cogn Neurosci     Publication Date:  2011 Jul 
Date Detail:
Created Date:  2011-05-10     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8910747     Medline TA:  J Cogn Neurosci     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1710-22     Citation Subset:  IM    
Affiliation:
The University of Birmingham.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  The Role of Broca's Area in Sentence Comprehension.
Next Document:  Spaced learning enhances subsequent recognition memory by reducing neural repetition suppression.