Altered resting-state brain activity in Parkinson’s disease patients with freezing of gait

Mi, Taomian; Mei, Shanshan; Liang, Peipeng; Gao, Linlin; Li, Kuncheng; Wu, Tao; Chan, Piu

doi:10.1038/s41598-017-16922-0

Cited by 44 publications

(41 citation statements)

References 65 publications

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“…These findings suggest disease-related alterations of functional activities that provide physicians sufficient information to get involved with early diagnosis and treatment. Our findings are also coherent with the alternative functional features in cortical regions, brainstem, and limbic regions discovered in previous studies [ 32 , 33 , 34 , 35 ].…”

Section: Discussionsupporting

confidence: 93%

Variable Selection Using Nonlocal Priors in High-Dimensional Generalized Linear Models With Application to fMRI Data Analysis

Cao

Lee

2020

Entropy

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High-dimensional variable selection is an important research topic in modern statistics. While methods using nonlocal priors have been thoroughly studied for variable selection in linear regression, the crucial high-dimensional model selection properties for nonlocal priors in generalized linear models have not been investigated. In this paper, we consider a hierarchical generalized linear regression model with the product moment nonlocal prior over coefficients and examine its properties. Under standard regularity assumptions, we establish strong model selection consistency in a high-dimensional setting, where the number of covariates is allowed to increase at a sub-exponential rate with the sample size. The Laplace approximation is implemented for computing the posterior probabilities and the shotgun stochastic search procedure is suggested for exploring the posterior space. The proposed method is validated through simulation studies and illustrated by a real data example on functional activity analysis in fMRI study for predicting Parkinson’s disease.

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Section: Discussionsupporting

confidence: 93%

Variable Selection Using Nonlocal Priors in High-Dimensional Generalized Linear Models With Application to fMRI Data Analysis

Cao

Lee

2020

Entropy

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“…As an important relay hub within the motor circuit, specific neurons of the ventrolateral and reticular nucleus in the thalamus are modulated during locomotion and can transmit integrated signals to the motor cortex (Marlinski, Nilaweera, et al, 2012;. Moreover, impaired thalamic activity was found to be related to the freezing of gait in Parkinson disease (Mi et al, 2017). With regard to gait performance, a number of structural and functional imaging studies have demonstrated thalamic involvement in this specific motor function.…”

Section: Discussionmentioning

confidence: 99%

“…For example, functional activation in the thalamus was observed during a walking task in healthy subjects but not in individuals with gait disorders, and the degree of thalamic activation was negatively correlated with gait performance scores (Iseki et al, 2010). Moreover, impaired thalamic activity was found to be related to the freezing of gait in Parkinson disease (Mi et al, 2017). Structurally, thalamic atrophy can partially account for the compromised walking speed in multiple sclerosis patients (Motl, Zivadinov, Bergsland, & Benedict, 2016).…”

Section: Discussionmentioning

confidence: 99%

The consequence of cerebral small vessel disease: Linking brain atrophy to motor impairment in the elderly

Liang

Zhai

et al. 2018

Human Brain Mapping

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In the elderly, brain structural deficits and gait disturbances due to cerebral small vessel disease (CSVD) have been well demonstrated. The relationships among CSVD, brain atrophy, and motor impairment, however, are far from conclusive. Particularly, the effect of CSVD on subcortical nuclear atrophy, motor performance of upper extremities, and associating patterns between brain atrophy and motor impairment remains largely unknown. To address these gaps, this study recruited 770 community-dwelling subjects (35-82 years of age), including both CSVD and non-CSVD individuals. For each subject, four motor tests involving upper and lower extremities were completed. High-resolution structural MRI was applied to extract gray matter (GM) volume, white matter volume, cortical thickness, surface area, and subcortical nuclear (caudate, putamen, pallidum, and thalamus) volumes. The results showed worse motor performance of lower extremities but relatively preserved performance of upper extremities in the CSVD group. Intriguingly, there was a significant association between the worse performance of upper extremities and atrophy of whole-brain GM and pallidum in the CSVD group but not in the non-CSVD group. In addition, mediation analysis confirmed a functional CSVD-to-"brain atrophy"-to-"motor impairment" pathway, that is, a mediating role of thalamic atrophy in the CSVD effect on walking speed in the elderly, indicating that CSVD impairs walking performance through damaging the integrity of the thalamus in aging populations. These findings provide important insight into the functional consequences of CSVD and highlight the importance of evaluating upper extremities functions and exploring their brain mechanisms in CSVD populations during aging.

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“…The middle frontal gyrus is mainly involved in higher cognitive functions, especially executive functions (John et al, 2006). Furthermore, a functional MRI (fMRI) study using amplitude of low-frequency fluctuation (ALFF) also found abnormal ALFF in the frontal, parietal, and temporal areas and cerebellum in PD-FOG, and found a significant correlation between ALFF changes in the middle frontal gyrus and FOG severity (Mi et al, 2017). This finding suggested that executive function impairment in the frontal regions was involved in PD-FOG.…”

Section: Introductionmentioning

confidence: 99%

“…Patients with PD-FOG are observed to have impaired regions mainly concentrated in the frontal area and the cerebellum (Jha et al, 2015;Mi et al, 2017). Therefore, it is hypothesized that the brain functional impairments, particularly in the frontal executive and cerebellar networks, may be involved in the pathophysiology of PD-FOG.…”

Section: Introductionmentioning

confidence: 99%

Alterations in Degree Centrality and Functional Connectivity in Parkinson’s Disease Patients With Freezing of Gait: A Resting-State Functional Magnetic Resonance Imaging Study

Guo

Ren

et al. 2020

Front. Neurosci.

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Objective: Freezing of gait (FOG) is a common disabling motor symptom in Parkinson's disease (PD), but the potential pathogenic mechanisms are still unclear. Methods: A total of 22 patients with PD with FOG (PD-FOG), 28 patients with PD without FOG (PD-nFOG), and 33 healthy controls (HCs) were recruited in this study. Degree centrality (DC)-a graph theory-based measurement of global connectivity at the voxel level by measuring the number of instantaneous functional connections between one region and the rest of the brain-can map brain hubs with high sensitivity, specificity, and reproducibility. DC was used to explore alterations in the centrality of PD-FOG correlated with brain node levels. PD-FOG cognitive network dysfunction was further revealed via a seed-based functional connectivity (FC) analysis. In addition, correlation analyses were carried out between clinical symptoms and acquired connectivity measurement. Results: Compared to the PD-nFOG group, the PD-FOG group showed remarkably increased DC values in the right middle frontal gyrus (RMFG). There were no significant differences in other gray matter regions. Importantly, the clinical severity of FOG was related to the mean DC values in the RMFG. This brain region served as a seed in secondary seed-based FC analysis, and we further found FC changes in the right precuneus, right inferior frontal gyrus, right superior frontal gyrus (SFG), and cerebellum. Conclusion: Increased RMFG activity and FC network alterations in the middle frontal cortex with the precuneus, inferior, and SFG, and the cerebellum may have great potential in brain dysfunction in PD with FOG.

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Altered resting-state brain activity in Parkinson’s disease patients with freezing of gait

Cited by 44 publications

References 65 publications

Variable Selection Using Nonlocal Priors in High-Dimensional Generalized Linear Models With Application to fMRI Data Analysis

Variable Selection Using Nonlocal Priors in High-Dimensional Generalized Linear Models With Application to fMRI Data Analysis

The consequence of cerebral small vessel disease: Linking brain atrophy to motor impairment in the elderly

Alterations in Degree Centrality and Functional Connectivity in Parkinson’s Disease Patients With Freezing of Gait: A Resting-State Functional Magnetic Resonance Imaging Study

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