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A novel extended Granger Causal model approach demonstrates brain hemispheric differences during face recognition learning
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Ge, Tian, Kendrick, Keith M. and Feng, Jianfeng (2009) A novel extended Granger Causal model approach demonstrates brain hemispheric differences during face recognition learning. PL o S Computational Biology, Vol.5 (No.11). doi:10.1371/journal.pcbi.1000570 ISSN 1553-734X.
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Official URL: http://dx.doi.org/10.1371/journal.pcbi.1000570
Abstract
Two main approaches in exploring causal relationships in biological systems using time-series data are the application of
Dynamic Causal model (DCM) and Granger Causal model (GCM). These have been extensively applied to brain imaging data
and are also readily applicable to a wide range of temporal changes involving genes, proteins or metabolic pathways.
However, these two approaches have always been considered to be radically different from each other and therefore used
independently. Here we present a novel approach which is an extension of Granger Causal model and also shares the
features of the bilinear approximation of Dynamic Causal model. We have first tested the efficacy of the extended GCM by
applying it extensively in toy models in both time and frequency domains and then applied it to local field potential
recording data collected from in vivo multi-electrode array experiments. We demonstrate face discrimination learninginduced
changes in inter- and intra-hemispheric connectivity and in the hemispheric predominance of theta and gamma
frequency oscillations in sheep inferotemporal cortex. The results provide the first evidence for connectivity changes
between and within left and right inferotemporal cortexes as a result of face recognition learning.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QA Mathematics Q Science > QH Natural history > QH301 Biology |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Centre for Scientific Computing Faculty of Science, Engineering and Medicine > Science > Computer Science |
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Library of Congress Subject Headings (LCSH): | Biology -- Data processing, Biological systems, Time-series analysis, Cerebral hemispheres, Face perception | ||||
Journal or Publication Title: | PL o S Computational Biology | ||||
Publisher: | Public Library of Science | ||||
ISSN: | 1553-734X | ||||
Official Date: | 20 November 2009 | ||||
Dates: |
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Volume: | Vol.5 | ||||
Number: | No.11 | ||||
Number of Pages: | 13 | ||||
DOI: | 10.1371/journal.pcbi.1000570 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Open Access (Creative Commons) | ||||
Funder: | Engineering and Physical Sciences Research Council (EPSRC), Biotechnology and Biological Sciences Research Council (Great Britain) (BBSRC), European Union (EU) | ||||
Grant number: | CARMAN (EPSRC), CARMAN (EU) |
Data sourced from Thomson Reuters' Web of Knowledge
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