A PET study of sequential finger movements of varying length in patients with Parkinson's disease

Brain. 1999 Mar;122 ( Pt 3):483-95. doi: 10.1093/brain/122.3.483.

Abstract

To study the difficulty that patients with Parkinson's disease have in performing long sequential movements, we used H2(15)O PET to assess the regional cerebral blood flow (rCBF) associated with the performance of simple repetitive movements, well-learned sequential finger movements of varying length and self-selected movements. Sequential finger movements in the Parkinson's disease patients were associated with an activation pattern similar to that found in normal subjects, but Parkinson's disease patients showed relative overactivity in the precuneus, premotor and parietal cortices. Increasing the complexity of movements resulted in increased rCBF in the premotor and parietal cortices of normal subjects; the Parkinson's disease patients showed greater increases in these same regions and had additional significant increases in the anterior supplementary motor area (SMA)/cingulate. Performance of self-selected movements induced significant activation of the anterior SMA/cingulate in normal subjects but not in Parkinson's disease patients. We conclude that in Parkinson's disease patients more cortical areas are recruited to perform sequential finger movements; this may be the result of increasing corticocortical activity to compensate for striatal dysfunction.

Publication types

  • Clinical Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Brain Mapping
  • Cerebrovascular Circulation
  • Female
  • Fingers / physiopathology*
  • Gyrus Cinguli / blood supply
  • Gyrus Cinguli / physiopathology
  • Humans
  • Image Processing, Computer-Assisted
  • Male
  • Middle Aged
  • Motor Cortex / blood supply
  • Motor Cortex / physiopathology
  • Movement*
  • Parkinson Disease / diagnostic imaging*
  • Parkinson Disease / physiopathology
  • Prefrontal Cortex / blood supply
  • Prefrontal Cortex / physiopathology
  • Tomography, Emission-Computed