Fronto-striatal deficit in Parkinson's disease during semantic event sequencing

Neurobiol Aging. 2008 Mar;29(3):397-407. doi: 10.1016/j.neurobiolaging.2006.10.025. Epub 2006 Dec 8.

Abstract

Studies of Parkinson's disease (PD) suggest that cognitive deficits accompany the classically recognized motor symptoms, and that these cognitive deficits may result from damage to frontal-basal ganglia circuits. PD patients are impaired on ordering events and action components into coherent sequences. In this study, we examined early-stage, nondemented, medicated PD subjects and matched control subjects during a semantic event sequencing task using functional MRI (fMRI). The task required subjects to examine four pictures of meaningful events, determine the correct temporal relationship between each picture, and re-order the pictures into a coherent sequence. There were two main findings. First, we found abnormal activation within the prefrontal cortex (PFC) and the "default" network in the PD group. Distinct areas of the PFC showed both hypoactivation and hyperactivation, whereas the "default" network showed reduced levels of resting activation in PD. Secondly, we observed left caudate hyperactivation in the PD group. The findings are discussed in relationship to how more activation may be compensatory, but does not necessarily mean efficient and correlated brain function.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Brain Mapping
  • Corpus Striatum / blood supply
  • Corpus Striatum / physiopathology*
  • Discrimination, Psychological / physiology
  • Female
  • Frontal Lobe / blood supply
  • Frontal Lobe / physiopathology*
  • Humans
  • Image Processing, Computer-Assisted
  • Magnetic Resonance Imaging / methods
  • Male
  • Middle Aged
  • Neuropsychological Tests
  • Oxygen / blood
  • Parkinson Disease / pathology*
  • Parkinson Disease / physiopathology*
  • Pattern Recognition, Visual / physiology
  • Reaction Time / physiology
  • Semantics*
  • Serial Learning

Substances

  • Oxygen