Corticolimbic gray matter loss in Parkinson's disease without dementia

Y. Nishio, K. Hirayama, A. Takeda, Y. Hosokai, T. Ishioka, K. Suzuki, Y. Itoyama, S. Takahashi, E. Mori

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59 Citations (Scopus)


Background: The relationship between corticolimbic involvement and cognitive dysfunction in non-demented Parkinson's disease (PD) patients has not yet been elucidated. Objectives: To delineate involvement of the cerebral cortex and limbic structures in non-demented PD and to clarify distributional differences of gray matter loss between non-demented PD with impaired cognition (PD-CI) and without cognitive impairment (PD-NC). Methods: Operational criteria based on the Clinical Dementia Rating were used to identify PD-CI. Of 40 consecutive non-demented patients with PD, 13 were classified as PD-CI and 27 as PD-NC. Comparisons of regional gray matter volume (rGMV) were made amongst the PD-CI, PD-NC, and control groups using voxel-based morphometry. Results: Gray matter loss was found extensively in the frontal, temporal, parietal, and occipital cortices in the present non-demented patients with PD. rGMV in the medial frontal and medial occipital cortices was reduced comparably in the PD-NC and PD-CI groups. The severity of gray matter loss in the perisylvian cortices increased in order from the control, to the PD-NC, to the PD-CI groups. rGMV reduction in the lateral and orbital frontal, medial and lateral temporal, medial and lateral parietal, and lateral occipital cortices and cerebellum was found specifically in PD-CI. Conclusions: Our results suggest that corticolimbic degeneration occurs in non-demented patients with PD, and extensive involvement of the limbic and posterior cortical regions as well as the frontal cortices is associated with cognitive impairment in PD.

Original languageEnglish
Pages (from-to)1090-1097
Number of pages8
JournalEuropean Journal of Neurology
Issue number8
Publication statusPublished - 2010 Aug


  • cerebral cortex
  • cognitive impairment
  • medial temporal lobe
  • mild cognitive impairment
  • parkinson's disease
  • voxel-based morphometry


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