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. 2024 Aug 11;10(1):151.
doi: 10.1038/s41531-024-00758-3.

A worldwide study of white matter microstructural alterations in people living with Parkinson's disease

Conor Owens-Walton  1 Talia M Nir  2 Sarah Al-Bachari  3 Sonia Ambrogi  4 Tim J Anderson  5   6   7 Ítalo Karmann Aventurato  8   9 Fernando Cendes  8   9 Yao-Liang Chen  10   11 Valentina Ciullo  4 Phil Cook  12 John C Dalrymple-Alford  6   13 Michiel F Dirkx  14 Jason Druzgal  15 Hedley C A Emsley  3   16 Rachel Guimarães  8   9 Hamied A Haroon  17   18 Rick C Helmich  14   19 Michele T Hu  20 Martin E Johansson  14   19 Ho Bin Kim  21 Johannes C Klein  20 Max Laansma  22   23 Katherine E Lawrence  2 Christine Lochner  24 Clare Mackay  20 Corey T McMillan  12 Tracy R Melzer  5   6   13 Leila Nabulsi  2 Ben Newman  15 Peter Opriessnig  25 Laura M Parkes  17   18 Clelia Pellicano  4 Fabrizio Piras  4 Federica Piras  4 Lukas Pirpamer  25 Toni L Pitcher  5   6 Kathleen L Poston  21 Annerine Roos  26 Lucas Scárdua Silva  8   9 Reinhold Schmidt  25 Petra Schwingenschuh  25 Marian Shahid-Besanti  21 Gianfranco Spalletta  4 Dan J Stein  26 Sophia I Thomopoulos  2 Duygu Tosun  27 Chih-Chien Tsai  28   29 Odile A van den Heuvel  21   22   30 Eva van Heese  21   22 Daniela Vecchio  4 Julio E Villalón-Reina  2 Chris Vriend  21   30   31 Jiun-Jie Wang  10   28   29   32 Yih-Ru Wu  33   34 Clarissa Lin Yasuda  8   9 Paul M Thompson  2 Neda Jahanshad  2 Ysbrand van der Werf  21   22
Affiliations

A worldwide study of white matter microstructural alterations in people living with Parkinson's disease

Conor Owens-Walton et al. NPJ Parkinsons Dis. .

Abstract

The progression of Parkinson's disease (PD) is associated with microstructural alterations in neural pathways, contributing to both motor and cognitive decline. However, conflicting findings have emerged due to the use of heterogeneous methods in small studies. Here we performed a large diffusion MRI study in PD, integrating data from 17 cohorts worldwide, to identify stage-specific profiles of white matter differences. Diffusion-weighted MRI data from 1654 participants diagnosed with PD (age: 20-89 years; 33% female) and 885 controls (age: 19-84 years; 47% female) were analyzed using the ENIGMA-DTI protocol to evaluate white matter microstructure. Skeletonized maps of fractional anisotropy (FA) and mean diffusivity (MD) were compared across Hoehn and Yahr (HY) disease groups and controls to reveal the profile of white matter alterations at different stages. We found an enhanced, more widespread pattern of microstructural alterations with each stage of PD, with eventually lower FA and higher MD in almost all regions of interest: Cohen's d effect sizes reached d = -1.01 for FA differences in the fornix at PD HY Stage 4/5. The early PD signature in HY stage 1 included higher FA and lower MD across the entire white matter skeleton, in a direction opposite to that typical of other neurodegenerative diseases. FA and MD were associated with motor and non-motor clinical dysfunction. While overridden by degenerative changes in the later stages of PD, early PD is associated with paradoxically higher FA and lower MD in PD, consistent with early compensatory changes associated with the disorder.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1. Microstructural differences in FA. Between-group analyses comparing FA across PD HY subgroups and controls.
A Results when compared to all controls, and (B) when compared to only age- and sex-matched controls. A anterior, L left, R right.
Fig. 2
Fig. 2. Microstructural differences in MD. Between-group analyses comparing MD across PD HY subgroups and controls.
A Results when compared to all controls, and (B) when compared to only age- and sex-matched controls. A anterior, L left, R right.
Fig. 3
Fig. 3. Associations between DTI measures and MoCA and MDS-UPDRS-III (OFF) Scores.
A anterior, L left, R right, MoCA Montreal Cognitive Assessment, MDS-UPDRS-III Movement Disorders Society Unified Parkinson’s Disease Rating Scale part-III.
Fig. 4
Fig. 4. Age distribution for the 17 datasets analyzed.
The number above the boxplot is the median age for each sample and to the right is the total number of subjects.

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