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The statistical neuroanatomy of frontal networks in the macaque

Averbeck, BB; Seo, M; (2008) The statistical neuroanatomy of frontal networks in the macaque. PLOS Computational Biology , 4 (4) , Article e1000050. 10.1371/journal.pcbi.1000050. Green open access

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Abstract

We were interested in gaining insight into the functional properties of frontal networks based upon their anatomical inputs. We took a neuroinformatics approach, carrying out maximum likelihood hierarchical cluster analysis on 25 frontal cortical areas based upon their anatomical connections, with 68 input areas representing exterosensory, chemosensory, motor, limbic, and other frontal inputs. The analysis revealed a set of statistically robust clusters. We used these clusters to divide the frontal areas into 5 groups, including ventral-lateral, ventral-medial, dorsal-medial, dorsal-lateral, and caudal-orbital groups. Each of these groups was defined by a unique set of inputs. This organization provides insight into the differential roles of each group of areas and suggests a gradient by which orbital and ventral-medial areas may be responsible for decision-making processes based on emotion and primary reinforcers, and lateral frontal areas are more involved in integrating affective and rational information into a common framework.

Type: Article
Title: The statistical neuroanatomy of frontal networks in the macaque
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pcbi.1000050
Publisher version: http://dx.doi.org/10.1371/journal.pcbi.1000050
Language: English
Additional information: © 2008 Averbeck, Seo. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: ANTERIOR CINGULATE CORTEX, PRIMATE PREFRONTAL CORTEX, HUMAN ORBITOFRONTAL CORTEX, RHESUS-MONKEY, CORTICAL PROJECTIONS, NEURONAL-ACTIVITY, SUPERIOR COLLICULUS, EVOLUTIONARY TREES, REWARD EXPECTANCY, DECISION-MAKING
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/1420734
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