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. 2021 Mar;36(3):611-621.
doi: 10.1002/mds.28453. Epub 2020 Dec 31.

Cholinergic Basal Forebrain Volumes Predict Gait Decline in Parkinson's Disease

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Cholinergic Basal Forebrain Volumes Predict Gait Decline in Parkinson's Disease

Joanna Wilson et al. Mov Disord. 2021 Mar.

Abstract

Background: Gait disturbance is an early, disabling feature of Parkinson's disease (PD) that is typically refractory to dopaminergic medication. The cortical cholinergic system, originating in the nucleus basalis of Meynert of the basal forebrain, has been implicated. However, it is not known if degeneration in this region relates to a worsening of disease-specific gait impairment.

Objective: To evaluate associations between sub-regional cholinergic basal forebrain volumes and longitudinal progression of gait impairment in PD.

Methods: 99 PD participants and 47 control participants completed gait assessments via an instrumented walkway during 2 minutes of continuous walking, at baseline and for up to 3 years, from which 16 spatiotemporal characteristics were derived. Sub-regional cholinergic basal forebrain volumes were measured at baseline via MRI and a regional map derived from post-mortem histology. Univariate analyses evaluated cross-sectional associations between sub-regional volumes and gait. Linear mixed-effects models assessed whether volumes predicted longitudinal gait changes.

Results: There were no cross-sectional, age-independent relationships between sub-regional volumes and gait. However, nucleus basalis of Meynert volumes predicted longitudinal gait changes unique to PD. Specifically, smaller nucleus basalis of Meynert volume predicted increasing step time variability (P = 0.019) and shortening swing time (P = 0.015); smaller posterior nucleus portions predicted shortening step length (P = 0.007) and increasing step time variability (P = 0.041).

Conclusions: This is the first study to demonstrate that degeneration of the cortical cholinergic system predicts longitudinal progression of gait impairments in PD. Measures of this degeneration may therefore provide a novel biomarker for identifying future mobility loss and falls. © 2020 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Keywords: Parkinson's disease; structural MRI; gait; NBM; acetylcholine.

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Figures

FIG. 1
FIG. 1
Cholinergic basal forebrain regions of interest. (Slices from left to right are coronal slices 9, 6, 3, and −8, as demonstrated in the top row. In the bottom row, the Ch1‐2 region of interest is demarcated in the first and second images, corresponding to the medial septum and vertical limb of the diagonal band; the Ch4 region of interest, corresponding to the NBM, is highlighted in the second and third images; the Ch4p region of interest, corresponding to the posterior NBM, is shown in the fourth image.) [Color figure can be viewed at wileyonlinelibrary.com]
FIG. 2
FIG. 2
Correlation between sub‐regional cBF volumes at baseline and change in gait per year in Parkinson's disease. A: correlation between change in step length and baseline posterior NBM (Ch4p) volume. B: correlation between change in step time variability and baseline posterior NBM (Ch4p) volume. C: correlation between change in swing time and baseline NBM (Ch4) volume. D: correlation between change in step time variability and baseline NBM (Ch4) volume. Values for gait change per year were derived from the model coefficient for time, for individuals within the Parkinson's disease cohort.) [Color figure can be viewed at wileyonlinelibrary.com]

References

    1. Galna B, Lord S, Burn DJ, Rochester L. Progression of gait dysfunction in incident Parkinson's disease: impact of medication and phenotype. Mov Disord 2015;30(3):359–367. - PubMed
    1. Del Din S, Yarnall AJ, Barber TR, et al. Continuous real‐world gait monitoring in idiopathic REM sleep behavior disorder. J Parkinson's Dis 2020;10(1):283–299. - PubMed
    1. Del Din S, Elshehabi M, Galna B, et al. Gait analysis with wearables predicts conversion to parkinson disease. Ann Neurol 2019;86(3):357–367. - PMC - PubMed
    1. Curtze C, Nutt JG, Carlson‐Kuhta P, Mancini M, Horak FB. Objective gait and balance impairments relate to balance confidence and perceived mobility in people with Parkinson disease. Phys Ther 2016;96(11):1734–1743. - PMC - PubMed
    1. Lord S, Galna B, Yarnall AJ, Coleman S, Burn D, Rochester L. Predicting first fall in newly diagnosed Parkinson's disease: insights from a fall‐naive cohort. Mov Disord 2016;31(12):1829–1836. - PMC - PubMed

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