Grey matter changes in cognitively impaired Parkinson's disease patients.
Cortical changes associated with cognitive decline in Parkinson's disease (PD) are not fully explored and require investigations with established diagnostic classification criteria.We used MRI source-based morphometry to evaluate specific differences in grey matter volume patterns across 4 grou...
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doaj-321166a2a5a9430a8d09ec34c560ed4b2020-11-25T00:40:52ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0191e8559510.1371/journal.pone.0085595Grey matter changes in cognitively impaired Parkinson's disease patients.Irena RektorovaRoberta BiundoRadek MarecekLuca WeisDag AarslandAngelo AntoniniCortical changes associated with cognitive decline in Parkinson's disease (PD) are not fully explored and require investigations with established diagnostic classification criteria.We used MRI source-based morphometry to evaluate specific differences in grey matter volume patterns across 4 groups of subjects: healthy controls (HC), PD with normal cognition (PD-NC), PD with mild cognitive impairment (MCI-PD) and PD with dementia (PDD).We examined 151 consecutive subjects: 25 HC, 75 PD-NC, 29 MCI-PD, and 22 PDD at an Italian and Czech movement disorder centre. Operational diagnostic criteria were applied to classify MCI-PD and PDD. All structural MRI images were processed together in the Czech centre. The spatial independent component analysis was used to assess group differences of local grey matter volume.We identified two independent patterns of grey matter volume deviations: a) Reductions in the hippocampus and temporal lobes; b) Decreases in fronto-parietal regions and increases in the midbrain/cerebellum. Both patterns differentiated PDD from all other groups and correlated with visuospatial deficits and letter verbal fluency, respectively. Only the second pattern additionally differentiated PD-NC from HC.Grey matter changes in PDD involve areas associated with Alzheimer-like pathology while fronto-parietal abnormalities are possibly an early marker of PD cognitive decline. These findings are consistent with a non-linear cognitive progression in PD.http://europepmc.org/articles/PMC3897481?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Irena Rektorova Roberta Biundo Radek Marecek Luca Weis Dag Aarsland Angelo Antonini |
spellingShingle |
Irena Rektorova Roberta Biundo Radek Marecek Luca Weis Dag Aarsland Angelo Antonini Grey matter changes in cognitively impaired Parkinson's disease patients. PLoS ONE |
author_facet |
Irena Rektorova Roberta Biundo Radek Marecek Luca Weis Dag Aarsland Angelo Antonini |
author_sort |
Irena Rektorova |
title |
Grey matter changes in cognitively impaired Parkinson's disease patients. |
title_short |
Grey matter changes in cognitively impaired Parkinson's disease patients. |
title_full |
Grey matter changes in cognitively impaired Parkinson's disease patients. |
title_fullStr |
Grey matter changes in cognitively impaired Parkinson's disease patients. |
title_full_unstemmed |
Grey matter changes in cognitively impaired Parkinson's disease patients. |
title_sort |
grey matter changes in cognitively impaired parkinson's disease patients. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2014-01-01 |
description |
Cortical changes associated with cognitive decline in Parkinson's disease (PD) are not fully explored and require investigations with established diagnostic classification criteria.We used MRI source-based morphometry to evaluate specific differences in grey matter volume patterns across 4 groups of subjects: healthy controls (HC), PD with normal cognition (PD-NC), PD with mild cognitive impairment (MCI-PD) and PD with dementia (PDD).We examined 151 consecutive subjects: 25 HC, 75 PD-NC, 29 MCI-PD, and 22 PDD at an Italian and Czech movement disorder centre. Operational diagnostic criteria were applied to classify MCI-PD and PDD. All structural MRI images were processed together in the Czech centre. The spatial independent component analysis was used to assess group differences of local grey matter volume.We identified two independent patterns of grey matter volume deviations: a) Reductions in the hippocampus and temporal lobes; b) Decreases in fronto-parietal regions and increases in the midbrain/cerebellum. Both patterns differentiated PDD from all other groups and correlated with visuospatial deficits and letter verbal fluency, respectively. Only the second pattern additionally differentiated PD-NC from HC.Grey matter changes in PDD involve areas associated with Alzheimer-like pathology while fronto-parietal abnormalities are possibly an early marker of PD cognitive decline. These findings are consistent with a non-linear cognitive progression in PD. |
url |
http://europepmc.org/articles/PMC3897481?pdf=render |
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