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Titolo:
Advanced database methodology for the Collation of Connectivity data on the Macaque brain (CoCoMac)
Autore:
Stephan, KE; Kamper, L; Bozkurt, A; Burns, GAPC; Young, MP; Kotter, R;
Indirizzi:
Univ Dusseldorf, Computat Syst Neurosci Grp, C&O Vogt Brain Res Inst, D-40225 Dusseldorf, Germany Univ Dusseldorf Dusseldorf Germany D-40225 , D-40225 Dusseldorf, Germany Univ Newcastle Upon Tyne, Dept Psychol, Neural Syst Grp, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England Univ Newcastle Upon Tyne Newcastle Upon Tyne Tyne & Wear England NE1 7RU Univ So Calif, Dept Neurobiol, Knowledge Mech Res Grp, Los Angeles, CA 90089 USA Univ So Calif Los Angeles CA USA 90089 Res Grp, Los Angeles, CA 90089 USA Univ Dusseldorf, Inst Morphol Endocrinol & Histochem, D-40225 Dusseldorf, Germany Univ Dusseldorf Dusseldorf Germany D-40225 , D-40225 Dusseldorf, Germany
Titolo Testata:
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY OF LONDON SERIES B-BIOLOGICAL SCIENCES
fascicolo: 1412, volume: 356, anno: 2001,
pagine: 1159 - 1186
SICI:
0962-8436(20010829)356:1412<1159:ADMFTC>2.0.ZU;2-8
Fonte:
ISI
Lingua:
ENG
Soggetto:
MEDIAL PREFRONTAL CORTEX; PRIMATE CEREBRAL-CORTEX; CORTICAL VISUAL-SYSTEM; RHESUS-MONKEY; CINGULATE CORTEX; ANATOMICAL CONNECTIVITY; FUNCTIONAL CONNECTIVITY; INTRINSIC CONNECTIONS; NEURAL SYSTEMS; ORGANIZATION;
Keywords:
macaque; structure-function relationships; prefrontal cortex; neural networks; analysis; relational database;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Life Sciences
Citazioni:
86
Recensione:
Indirizzi per estratti:
Indirizzo: Kotter, R Univ Dusseldorf, Computat Syst Neurosci Grp, C&O Vogt Brain Res Inst, Moorenstr 5, D-40225 Dusseldorf, Germany Univ Dusseldorf Moorenstr 5 Dusseldorf Germany D-40225 Germany
Citazione:
K.E. Stephan et al., "Advanced database methodology for the Collation of Connectivity data on the Macaque brain (CoCoMac)", PHI T ROY B, 356(1412), 2001, pp. 1159-1186

Abstract

The need to integrate massively increasing amounts of data on the mammalian brain has driven several ambitious neuroscientific database projects thatwere started during the last decade. Databasing the brain's anatomical connectivity as delivered by tracing studies is of particular importance as these data characterize fundamental structural constraints of the complex andpoorly understood functional interactions between the components of real neural systems. Previous connectivity databases have been crucial for analysing anatomical brain circuitry in various species and have opened exciting new ways to interpret functional data, both from electrophysiological and from functional imaging studies. The eventual impact and success of connectivity databases, however, will require the resolution of several methodological problems that currently limit their use. These problems comprise four main points: (i) objective representation of coordinate-free, parcellation-based data, (ii) assessment of the reliability and precision of individual data, especially in the presence of contradictory reports, (iii) data miningand integration of large sets of partially redundant and contradictory data, and (iv) automatic and reproducible transformation of data between incongruent brain maps. Here, we present the specific implementation of the 'collation of connectivity data on the macaque brains (CoCoMac) database (http://www.cocomac.org). The design of this database addresses the methodological challenges listed above, and focuses on experimental and computational neuroscientists' needs to flexibly analyse and process the large amount of published experimental data from tracing studies. In this article, we explain step-by-step the conceptual rationale and methodology of CoCoMac and demonstrate its practical use by an analysis of connectivity in the prefrontal cortex.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 25/01/20 alle ore 15:50:53