Gray and white matter alterations in different predominant side and type of motor symptom in Parkinson's disease

Chen, Jingwen; Jiang, Xianchen; Wu, Jingjing; Wu, Haoting; Zhou, Cheng; Guo, Tao; Bai, Xueqin; Liu, Xiaocao; Wen, Jiaqi; Cao, Zhengye; Gu, Luyan; Yang, Wenyi; Pu, Jiali; Guan, Xiaojun; Xu, Xiaojun; Zhang, Baorong; Zhang, Minming

doi:10.1111/cns.13877

Cited by 11 publications

(6 citation statements)

References 62 publications

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“…Tract-Based Spatial Statistics (TBSS) is a popular automated approach to co-register individual DTI maps to the common DTI skeleton maps that allow statistical and objective group comparisons only on the voxels in the skeletonized white matter tracts (Smith et al, 2006). To date, TBSS is one of the most popular DTI analytic methods to investigate DTI changes due to PD with different neurodegenerative conditions (Wen et al, 2018;Ji et al, 2019;Chen et al, 2022). Unlike VBA investigating the overall diffusivity or anisotropy of a voxel, a fixelbased analysis is more likely to quantify the intravoxel white matter properties with the exclusion of other tissue compartments.…”

Section: Recent Advances In Diffusion Tensor Imaging Analytic Methodsmentioning

confidence: 99%

Recent advances in using diffusion tensor imaging to study white matter alterations in Parkinson’s disease: A mini review

Shih

Tseng²,

Montaser-Kouhsari³

2023

Front. Aging Neurosci.

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Parkinson’s disease (PD) is the second most common age-related neurodegenerative disease with cardinal motor symptoms. In addition to motor symptoms, PD is a heterogeneous disease accompanied by many non-motor symptoms that dominate the clinical manifestations in different stages or subtypes of PD, such as cognitive impairments. The heterogeneity of PD suggests widespread brain structural changes, and axonal involvement appears to be critical to the pathophysiology of PD. As α-synuclein pathology has been suggested to cause axonal changes followed by neuronal degeneration, diffusion tensor imaging (DTI) as an in vivo imaging technique emerges to characterize early detectable white matter changes due to PD. Here, we reviewed the past 5-year literature to show how DTI has helped identify axonal abnormalities at different PD stages or in different PD subtypes and atypical parkinsonism. We also showed the recent clinical utilities of DTI tractography in interventional treatments such as deep brain stimulation (DBS). Mounting evidence supported by multisite DTI data suggests that DTI along with the advanced analytic methods, can delineate dynamic pathophysiological processes from the early to late PD stages and differentiate distinct structural networks affected in PD and other parkinsonism syndromes. It indicates that DTI, along with recent advanced analytic methods, can assist future interventional studies in optimizing treatments for PD patients with different clinical conditions and risk profiles.

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Section: Recent Advances In Diffusion Tensor Imaging Analytic Methodsmentioning

confidence: 99%

Recent advances in using diffusion tensor imaging to study white matter alterations in Parkinson’s disease: A mini review

Shih

Tseng²,

Montaser-Kouhsari³

2023

Front. Aging Neurosci.

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“…In addition, right fusiform gyrus has also shown greater grey matter loss in PD patients with psychosis compared to those without psychosis [64]. Cingulate gyrus, another common hub in PD subtypes B and AB, is associated with cognitive functions and non-motor symptoms in PD [65,66]. Since right fusiform gyrus is detected as a conserved hub in subtypes A and B and left cingulate gyrus in subtypes B and AB, we suggest these nodes may play a crucial role in keeping the communication active in PD subtypes, and hence, may further be investigated to understand the disease pathophysiology.…”

Section: Network Analysismentioning

confidence: 98%

Brain connectivity for subtypes of parkinson’s disease using structural MRI

Samantaray,

Saini,

Pal

et al. 2024

Biomed. Phys. Eng. Express

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Objective: Delineating Parkinson’s disease (PD) into distinct subtypes is a major challenge. Most studies use clinical symptoms to label PD subtypes while our work uses an imaging-based data-mining approach to subtype PD. Our study comprises of two major objectives - firstly, subtyping Parkinson’s patients based on grey matter information from structural magnetic resonance imaging scans of human brains; secondly, comparative structural brain connectivity analysis of PD subtypes derived from the former step. Approach: Source-based-morphometry decomposition was performed on 131 Parkinson’s patients and 78 healthy controls from PPMI dataset, to derive at components (regions) with significance in disease and high effect size. The loading coefficients of significant components were thresholded for arriving at subtypes. Further, regional grey matter maps of subtype-specific subjects were separately parcellated and employed for construction of subtype-specific association matrices using Pearson correlation. These association matrices were binarized using sparsity threshold and leveraged for structural brain connectivity analysis using network metrics. Main results: Two distinct Parkinson’s subtypes (namely A and B) were detected employing loadings of two component satisfying the selection criteria, and a third subtype (AB) was detected, common to these two components. Subtype A subjects were highly weighted in inferior, middle and superior frontal gyri while subtype B subjects in inferior, middle and superior temporal gyri. Network metrics analyses through permutation test revealed significant inter-subtype differences (p<0.05) in clustering coefficient, local efficiency, participation coefficient and betweenness centrality. Moreover, hubs were obtained using betweenness centrality and mean network degree. Significance: MRI-based data-driven subtypes show frontal and temporal lobe playing key role in PD. Graph theory-driven brain network analyses could untangle subtype-specific differences in structural brain connections showing differential network architecture. Replication of these initial results in other Parkinson’s datasets may be explored in future. Clinical Relevance- Investigating structural brain connections in Parkinson's disease may provide subtype-specific treatment.

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“…In comparison to healthy controls (HC), most studies found degeneration in PD patients with motor symptoms, as indicated by decreased FA [ 37 , 79 , 83 ], increased MD [ 74 ] and a combination of decreased FA and increased MD [ 46 ]. These results suggest that FA, MD, and other DTI measures could serve as quantitative biomarkers of motor symptom severity in PD.…”

Section: Cingulummentioning

confidence: 99%

“…Depression and dementia frequently occur in PD patients, often appearing late in the disease at stage 3 or 4 of the Hoen and Yahr staging for motor involvement. They can also be present early on in the honeymoon period of PD, and have been shown to correlate with the severity of motor involvement [ 37 ]. Abnormal functioning in depression and dementia in PD patients may be due to degeneration of the microstructure in the white matter located in frontal-limbic regions.…”

Section: Cingulummentioning

confidence: 99%

Cingulum and Uncinate Fasciculus Microstructural Abnormalities in Parkinson’s Disease: A Systematic Review of Diffusion Tensor Imaging Studies

Rashidi

Khanmirzaei

Hosseinzadeh

et al. 2023

Biology

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Diffusion tensor imaging (DTI) is gaining traction in neuroscience research as a tool for evaluating neural fibers. The technique can be used to assess white matter (WM) microstructure in neurodegenerative disorders, including Parkinson disease (PD). There is evidence that the uncinate fasciculus and the cingulum bundle are involved in the pathogenesis of PD. These fasciculus and bundle alterations correlate with the symptoms and stages of PD. PRISMA 2022 was used to search PubMed and Scopus for relevant articles. Our search revealed 759 articles. Following screening of titles and abstracts, a full-text review, and implementing the inclusion criteria, 62 papers were selected for synthesis. According to the review of selected studies, WM integrity in the uncinate fasciculus and cingulum bundles can vary according to symptoms and stages of Parkinson disease. This article provides structural insight into the heterogeneous PD subtypes according to their cingulate bundle and uncinate fasciculus changes. It also examines if there is any correlation between these brain structures’ structural changes with cognitive impairment or depression scales like Geriatric Depression Scale-Short (GDS). The results showed significantly lower fractional anisotropy values in the cingulum bundle compared to healthy controls as well as significant correlations between FA and GDS scores for both left and right uncinate fasciculus regions suggesting that structural damage from disease progression may be linked to cognitive impairments seen in advanced PD patients. This review help in developing more targeted treatments for different types of Parkinson’s disease, as well as providing a better understanding of how cognitive impairments may be related to these structural changes. Additionally, using DTI scans can provide clinicians with valuable information about white matter tracts which is useful for diagnosing and monitoring disease progression over time.

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Gray and white matter alterations in different predominant side and type of motor symptom in Parkinson's disease

Cited by 11 publications

References 62 publications

Recent advances in using diffusion tensor imaging to study white matter alterations in Parkinson’s disease: A mini review

Recent advances in using diffusion tensor imaging to study white matter alterations in Parkinson’s disease: A mini review

Brain connectivity for subtypes of parkinson’s disease using structural MRI

Cingulum and Uncinate Fasciculus Microstructural Abnormalities in Parkinson’s Disease: A Systematic Review of Diffusion Tensor Imaging Studies

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