Literature DB >> 34176042

Cholinergic basal forebrain and hippocampal structure influence visuospatial memory in Parkinson's disease.

Rok Berlot1,2, Zvezdan Pirtošek3,4, Simon Brezovar5,4, Blaž Koritnik3,6,7, Stefan J Teipel8,9, Michel J Grothe8,10, Nicola J Ray11.   

Abstract

Visuospatial impairment in Parkinson's disease (PD) heralds the onset of a progressive dementia syndrome and might be associated with cholinergic dysfunction. It remains unclear however, whether degeneration of the cholinergic basal forebrain is directly related to cognitive decline, or whether relationships between this region and cognitive function are mediated by closely related brain structures such as those in the medial temporal lobe. To evaluate relationships between structure of the cholinergic basal forebrain, medial temporal lobe and cognition, 27 PD patients without dementia and 20 controls underwent neuropsychological assessment and MRI. Volumes of the cholinergic basal forebrain nuclei, the entorhinal cortex, the hippocampus and its subfields were measured. Regression models utilised basal forebrain and hippocampal volumetric measures to predict cognitive performance. In PD, visuospatial memory (but not verbal memory or executive function) was correlated with hippocampal volume, particularly CA2-3, and basal forebrain subregion Ch1-2, but not Ch4. In addition, hippocampal volume was correlated with Ch1-2 in PD. The relationship between Ch1-2 and visuospatial memory was mediated by CA2-3 integrity. There were no correlations between cognitive and volumetric measures in controls. Our data imply that the integrity of the cholinergic basal forebrain is associated with subregional hippocampal volume. Additionally, a relationship between visuospatial function and cholinergic nuclei does exist, but is fully mediated by variations in hippocampal structure. These findings are consistent with the recent hypothesis that forebrain cholinergic system degeneration results in cognitive deficits via cholinergic denervation, and subsequent structural degeneration, of its target regions.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Cholinergic system; Cognition; Cognitive decline; Parkinson’s disease; Structural MRI; Visuospatial function

Mesh:

Substances:

Year:  2021        PMID: 34176042     DOI: 10.1007/s11682-021-00481-0

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  36 in total

1.  Hippocampal abnormalities and memory deficits in Parkinson disease: a multimodal imaging study.

Authors:  G A Carlesimo; F Piras; F Assogna; F E Pontieri; C Caltagirone; G Spalletta
Journal:  Neurology       Date:  2012-05-30       Impact factor: 9.910

2.  A fast diffeomorphic image registration algorithm.

Authors:  John Ashburner
Journal:  Neuroimage       Date:  2007-07-18       Impact factor: 6.556

Review 3.  Computational anatomy with the SPM software.

Authors:  John Ashburner
Journal:  Magn Reson Imaging       Date:  2009-02-27       Impact factor: 2.546

4.  Cortical surface-based analysis. I. Segmentation and surface reconstruction.

Authors:  A M Dale; B Fischl; M I Sereno
Journal:  Neuroimage       Date:  1999-02       Impact factor: 6.556

5.  Changes in anatomical and functional connectivity of Parkinson's disease patients according to cognitive status.

Authors:  Boyu Chen; Guo Guang Fan; Hu Liu; Shanshan Wang
Journal:  Eur J Radiol       Date:  2015-04-27       Impact factor: 3.528

6.  Cholinergic innervation in the human hippocampal formation including the entorhinal cortex.

Authors:  S De Lacalle; C Lim; T Sobreviela; E J Mufson; L B Hersh; C B Saper
Journal:  J Comp Neurol       Date:  1994-07-15       Impact factor: 3.215

Review 7.  The cholinergic system and Parkinson disease.

Authors:  Nicolaas I Bohnen; Roger L Albin
Journal:  Behav Brain Res       Date:  2010-01-07       Impact factor: 3.332

8.  Mild cognitive impairment in Parkinson's disease is associated with a distributed pattern of brain white matter damage.

Authors:  Federica Agosta; Elisa Canu; Elka Stefanova; Lidia Sarro; Aleksandra Tomić; Vladana Špica; Giancarlo Comi; Vladimir S Kostić; Massimo Filippi
Journal:  Hum Brain Mapp       Date:  2013-07-11       Impact factor: 5.038

9.  Predicting Fazekas scores from automatic segmentations of white matter signal abnormalities.

Authors:  Nira Cedres; Daniel Ferreira; Alejandra Machado; Sara Shams; Simona Sacuiu; Margda Waern; Lars-Olof Wahlund; Anna Zettergren; Silke Kern; Ingmar Skoog; Eric Westman
Journal:  Aging (Albany NY)       Date:  2020-01-12       Impact factor: 5.682

10.  Interleaving brain systems for episodic and recognition memory.

Authors:  John P Aggleton; Malcolm W Brown
Journal:  Trends Cogn Sci       Date:  2006-08-28       Impact factor: 20.229

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