Weight-Space Mapping of fMRI Motor Tasks

Evidence for Nested Neural Networks
  • Jeremy B. Caplan
  • Peter A. Bandettini
  • Jeffrey P. Sutton

Abstract

In this report, we examine the notion that networks of neocortical activity exist simultaneously across different spatial scales. Our investigations concern human motor data obtained from six motor tasks using functional magnetic resonance imaging (fMRI) at 1.5 T (Sutton et al., 1996). Weights for all pairs of fMRI voxels were calculated across tasks without anatomical bias, and weight maps were produced. We observed regions of interest, which averaged 1 cm3 in size, and a theoretically predicted network two orders of magnitude larger that linked anatomically related regions together. Temporal analysis revealed the persistence of multilevel clus tering through time. Our results support the concept that some dynamic networks in the neocortex are nested within other networks.

Keywords

Motor Task Nest Network Neocortical Activity Motor Cortex Plasticity Repetitive Finger Move 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • Jeremy B. Caplan
    • 1
  • Peter A. Bandettini
    • 1
  • Jeffrey P. Sutton
    • 1
  1. 1.Neural Systems Group and NMR Center Massachusetts General Hospital, Harvard University Medical SchoolCharlestownUSA

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