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Neural correlates of early cognitive dysfunction in Parkinson's disease
Objective: Dementia is a common and feared aspect of Parkinson's disease but there are no robust predictors of cognitive outcome. Visuoperceptual deficits are linked to risk of dementia in Parkinson's disease but whether they predict cognitive change is not known, and the neural substrates of visuoperceptual dysfunction in Parkinson's have not yet been identified.
Methods: We compared patients with Parkinson's disease and unaffected controls who underwent BOLD fMRI while performing our previously validated visuoperceptual task and tested how functional connectivity between task‐specific regions and the rest of the brain differed between patients who performed well and poorly in the task.
Results: We show that task performance at baseline predicts change in cognition in Parkinson's disease after 1 year. Our task‐based fMRI study showed that the performance in this task is associated with activity in the posterior cingulate cortex/precuneus. We found that functional connectivity between this region and dorsomedial prefrontal cortex was reduced in poor performers compared with good performers of this task.
Interpretation: Our findings suggest that functional connectivity is reduced between posterior and anterior hubs of the default mode network in Parkinson's patients who are likely to progress to worsening cognitive dysfunction. Our work implicates posterior default mode nodes and their connections as key brain regions in early stages of dementia in Parkinson's disease.
Weil RS, Winston JS, Leyland LA, et al. Neural correlates of early cognitive dysfunction in Parkinson's disease. Ann Clin Transl Neurol. 2019;6(5):902–912. Published 2019 Mar 28. doi:10.1002/acn3.767.
This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Sections of the Abstract and Introduction are presented in the Podcast. Link to the full-text article:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6529983/
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Objective: Dementia is a common and feared aspect of Parkinson's disease but there are no robust predictors of cognitive outcome. Visuoperceptual deficits are linked to risk of dementia in Parkinson's disease but whether they predict cognitive change is not known, and the neural substrates of visuoperceptual dysfunction in Parkinson's have not yet been identified.
Methods: We compared patients with Parkinson's disease and unaffected controls who underwent BOLD fMRI while performing our previously validated visuoperceptual task and tested how functional connectivity between task‐specific regions and the rest of the brain differed between patients who performed well and poorly in the task.
Results: We show that task performance at baseline predicts change in cognition in Parkinson's disease after 1 year. Our task‐based fMRI study showed that the performance in this task is associated with activity in the posterior cingulate cortex/precuneus. We found that functional connectivity between this region and dorsomedial prefrontal cortex was reduced in poor performers compared with good performers of this task.
Interpretation: Our findings suggest that functional connectivity is reduced between posterior and anterior hubs of the default mode network in Parkinson's patients who are likely to progress to worsening cognitive dysfunction. Our work implicates posterior default mode nodes and their connections as key brain regions in early stages of dementia in Parkinson's disease.
Weil RS, Winston JS, Leyland LA, et al. Neural correlates of early cognitive dysfunction in Parkinson's disease. Ann Clin Transl Neurol. 2019;6(5):902–912. Published 2019 Mar 28. doi:10.1002/acn3.767.
This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Sections of the Abstract and Introduction are presented in the Podcast. Link to the full-text article:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6529983/