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Distinct brain networks underlie cognitive dysfunction in Parkinson and Alzheimer diseases

Authors :
Martin Niethammer
Wataru Sako
David Eidelberg
Paul J. Mattis
Marc L. Gordon
Chris C. Tang
Vicky L. Brandt
Amir Nazem
Vijay Dhawan
Source :
Neurology. 87:1925-1933
Publication Year :
2016
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2016.

Abstract

Objective: To determine whether cognitive impairment in Parkinson disease (PD) and Alzheimer disease (AD) derives from the same network pathology. Methods: We analyzed 18 F-fluorodeoxyglucose PET scans from 40 patients with AD and 40 age-matched healthy controls from the Alzheimer’s Disease Neuroimaging Initiative and scanned an additional 10 patients with AD and 10 healthy controls at The Feinstein Institute for Medical Research to derive an AD-related metabolic pattern (ADRP) analogous to our previously established PD cognition-related pattern (PDCP) and PD motor-related pattern (PDRP). We computed individual subject expression values for ADRP and PDCP in 89 patients with PD and correlated summary scores for cognitive functioning with network expression. We also evaluated changes in ADRP and PDCP expression in a separate group of 15 patients with PD scanned serially over a 4-year period. Results: Analysis revealed a significant AD-related metabolic topography characterized by covarying metabolic reductions in the hippocampus, parahippocampal gyrus, and parietal and temporal association regions. Expression of ADRP, but not PDCP, was elevated in both AD groups and correlated with worse cognitive summary scores. Patients with PD showed slight ADRP expression, due to topographic overlap with the network underlying PD motor-related pattern degeneration, but only their PDCP expression values increased as cognitive function and executive performance declined. Longitudinal data in PD disclosed an analogous dissociation of network expression. Conclusions: Cognitive dysfunction in PD is associated with a specific brain network that is largely spatially and functionally distinct from that seen in relation to AD.

Details

ISSN :
1526632X and 00283878
Volume :
87
Database :
OpenAIRE
Journal :
Neurology
Accession number :
edsair.doi.dedup.....bea665df57a9d44dd3b5fa2b7918512e