Statistical analysis of parieto-frontal cognitive-motor networks.

作者:	Bruno B Averbeck, Alexandra Battaglia-Mayer, Carla Guglielmo, Roberto Caminiti
语言:	Eng.
日期:	2009-09-03
学报:	Journal of neurophysiology (0022-3077)
发行:	J Neurophysiol. 2009 Sep;102(3):1911-20
摘要:	Considerable information has been gathered on the anatomical connectivity within the parieto-frontal network of the primate brain. To examine the statistical regularities in this connectivity, we carried out hierarchical cluster analysis and found statistically significant clusters of areas: four in the parietal and six in the frontal lobe. Clusters were based on patterns of inputs from all cortical areas. Both parietal and frontal clusters were composed of sets of spatially contiguous architectonic areas. The four parietal clusters were composed of sets of anterior (somatosensory), dorsal, inferior, and medio-lateral parietal cortical areas. The six frontal clusters were composed of sets of dorsal premotor, ventral premotor, primary motor, cingulate motor, and dorsal and ventral prefrontal cortical areas. Furthermore, connectivity between frontal and parietal clusters was topographic and reciprocal. Thus we found substantial statistical structure and organization in the parieto-frontal network that gives a simplified but accurate description of this system.
版权:	Journal of neurophysiology University College London, Institute of Neurology, Sobell Department of Motor Neuroscience and Movement Disorders, Box 28, Queen Square, London WC1N 3BG, UK. b.averbeck ion.ucl.ac.uk
全文:	DOI - Journal of neurophysiology (DOI) EBSCO - HTML (需要捐款) HighWire Press - HTML (需要捐款)
科目:	Animals, Brain Mapping, Cluster Analysis, Cognition, Frontal Lobe, Models, Neurological, Motor Activity, Nerve Net, Neural Pathways, Parietal Lobe