Document Detail


Interaction of cortical networks mediating object motion detection by moving observers.
MedLine Citation:
PMID:  22811215     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The task of parceling perceived visual motion into self- and object motion components is critical to safe and accurate visually guided navigation. In this paper, we used functional magnetic resonance imaging to determine the cortical areas functionally active in this task and the pattern connectivity among them to investigate the cortical regions of interest and networks that allow subjects to detect object motion separately from induced self-motion. Subjects were presented with nine textured objects during simulated forward self-motion and were asked to identify the target object, which had an additional, independent motion component toward or away from the observer. Cortical activation was distributed among occipital, intra-parietal and fronto-parietal areas. We performed a network analysis of connectivity data derived from partial correlation and multivariate Granger causality analyses among functionally active areas. This revealed four coarsely separated network clusters: bilateral V1 and V2; visually responsive occipito-temporal areas, including bilateral LO, V3A, KO (V3B) and hMT; bilateral VIP, DIPSM and right precuneus; and a cluster of higher, primarily left hemispheric regions, including the central sulcus, post-, pre- and sub-central sulci, pre-central gyrus, and FEF. We suggest that the visually responsive networks are involved in forming the representation of the visual stimulus, while the higher, left hemisphere cluster is involved in mediating the interpretation of the stimulus for action. Our main focus was on the relationships of activations during our task among the visually responsive areas. To determine the properties of the mechanism corresponding to the visual processing networks, we compared subjects' psychophysical performance to a model of object motion detection based solely on relative motion among objects and found that it was inconsistent with observer performance. Our results support the use of scene context (e.g., eccentricity, depth) in the detection of object motion. We suggest that the cortical activation and visually responsive networks provide a potential substrate for this computation.
Authors:
F J Calabro; L M Vaina
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't     Date:  2012-07-19
Journal Detail:
Title:  Experimental brain research     Volume:  221     ISSN:  1432-1106     ISO Abbreviation:  Exp Brain Res     Publication Date:  2012 Aug 
Date Detail:
Created Date:  2012-07-31     Completed Date:  2012-12-20     Revised Date:  2013-12-13    
Medline Journal Info:
Nlm Unique ID:  0043312     Medline TA:  Exp Brain Res     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  177-89     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Adult
Brain Mapping*
Cerebral Cortex / blood supply,  physiology*
Feedback, Physiological / physiology*
Female
Functional Laterality
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Male
Motion Perception / physiology*
Movement / physiology
Nerve Net / blood supply,  physiology*
Oxygen / blood
Photic Stimulation
Psychomotor Performance
Psychophysics
Signal Detection, Psychological / physiology*
Young Adult
Grant Support
ID/Acronym/Agency:
P41RR14075/RR/NCRR NIH HHS; R01 NS064100/NS/NINDS NIH HHS; R01NS064100/NS/NINDS NIH HHS; S10RR021110/RR/NCRR NIH HHS
Chemical
Reg. No./Substance:
S88TT14065/Oxygen
Comments/Corrections

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


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