scholarly journals Thalamic morphology predicts the onset of freezing of gait in Parkinson’s disease

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Nicholas D’Cruz ◽  
Griet Vervoort ◽  
Sima Chalavi ◽  
Bauke W. Dijkstra ◽  
Moran Gilat ◽  
...  

AbstractThe onset of freezing of gait (FOG) in Parkinson’s disease (PD) is a critical milestone, marked by a higher risk of falls and reduced quality of life. FOG is associated with alterations in subcortical neural circuits, yet no study has assessed whether subcortical morphology can predict the onset of clinical FOG. In this prospective multimodal neuroimaging cohort study, we performed vertex-based analysis of grey matter morphology in fifty-seven individuals with PD at study entry and two years later. We also explored the behavioral correlates and resting-state functional connectivity related to these local volume differences. At study entry, we found that freezers (N = 12) and persons who developed FOG during the course of the study (converters) (N = 9) showed local inflations in bilateral thalamus in contrast to persons who did not (non-converters) (N = 36). Longitudinally, converters (N = 7) also showed local inflation in the left thalamus, as compared to non-converters (N = 36). A model including sex, daily levodopa equivalent dose, and local thalamic inflation predicted conversion with good accuracy (AUC: 0.87, sensitivity: 88.9%, specificity: 77.8%). Exploratory analyses showed that local thalamic inflations were associated with larger medial thalamic sub-nuclei volumes and better cognitive performance. Resting-state analyses further revealed that converters had stronger thalamo-cortical coupling with limbic and cognitive regions pre-conversion, with a marked reduction in coupling over the two years. Finally, validation using the PPMI cohort suggested FOG-specific non-linear evolution of thalamic local volume. These findings provide markers of, and deeper insights into conversion to FOG, which may foster earlier intervention and better mobility for persons with PD.

Neuroscience ◽  
2019 ◽  
Vol 418 ◽  
pp. 311-317 ◽  
Author(s):  
Alexandra Potvin-Desrochers ◽  
Trina Mitchell ◽  
Thomas Gisiger ◽  
Caroline Paquette

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Yuting Li ◽  
Xiuhang Ruan ◽  
E. Li ◽  
Guoqin Zhang ◽  
Yanjun Liu ◽  
...  

Background. Freezing of gait (FOG) is a disabling gait disorder influencing patients with Parkinson’s disease (PD). Accumulating evidence suggests that FOG is related to the functional alterations within brain networks. We investigated the changes in brain resting-state functional connectivity (FC) in patients with PD with FOG (FOG+) and without FOG (FOG-). Methods. Resting-state functional magnetic resonance imaging (RS-fMRI) data were collected from 55 PD patients (25 FOG+ and 30 FOG-) and 26 matched healthy controls (HC). Differences in intranetwork connectivity between FOG+, FOG-, and HC individuals were explored using independent component analysis (ICA). Results. Seven resting-state networks (RSNs) with abnormalities, including motor, executive, and cognitive-related networks, were found in PD patients compared to HC. Compared to FOG- patients, FOG+ patients had increased FC in advanced cognitive and attention-related networks. In addition, the FC values of the auditory network and default mode network were positively correlated with the Gait and Falls Questionnaire (GFQ) and Freezing of Gait Questionnaire (FOGQ) scores in FOG+ patients. Conclusions. Our findings suggest that the neural basis of PD is associated with impairments of multiple functional networks. Notably, alterations of advanced cognitive and attention-related networks rather than motor networks may be related to the mechanism of FOG.


Brain ◽  
2012 ◽  
Vol 135 (12) ◽  
pp. 3699-3711 ◽  
Author(s):  
Carl D. Hacker ◽  
Joel S. Perlmutter ◽  
Susan R. Criswell ◽  
Beau M. Ances ◽  
Abraham Z. Snyder

2015 ◽  
Vol 262 (10) ◽  
pp. 2247-2256 ◽  
Author(s):  
Huizi Ma ◽  
Huimin Chen ◽  
Jinping Fang ◽  
Liyan Gao ◽  
Lingyan Ma ◽  
...  

2014 ◽  
Vol 35 (11) ◽  
pp. 5431-5441 ◽  
Author(s):  
KyoungWon Baik ◽  
Jungho Cha ◽  
Jee Hyun Ham ◽  
Gwang-Min Baek ◽  
Mun Kyung Sunwoo ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document