Longitudinal corpus callosum microstructural decline in early-stage Parkinson’s disease in association with akinetic-rigid symptom severity

Amandola, Matthew; Sinha, Agniva; Amandola, Mark J.; Leung, Hoi‐Chung

doi:10.1038/s41531-022-00372-1

Cited by 9 publications

(4 citation statements)

References 56 publications

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“…In this study, sCC presented decreased FA and increased RD in PD patients with VBD, suggesting impaired temporal-parietal connections and visual information transmission, possibly due to primary demyelination [32]. In PD patients, callosal FA was reported to be negatively related to akinetic-rigid severity and higher axial kurtosis in sCC correlated with impulse control behaviors [33,34].…”

Section: Discussionmentioning

confidence: 89%

Increased prevalence of vertebrobasilar dolichoectasia in Parkinson’s disease and its effect on white matter microstructure and network

Li,

Zhu,

Lai

et al. 2024

NeuroReport

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This study aimed to investigate the prevalence of vertebrobasilar dolichoectasia (VBD) in Parkinson’s disease (PD) patients and analyze its role in gray matter changes, white matter (WM) microstructure and network alterations in PD. This is a cross-sectional study including 341 PD patients. Prevalence of VBD in these PD patients was compared with general population. Diffusion tensor imaging and T1-weighted imaging analysis were performed among 174 PD patients with or without VBD. Voxel-based morphometry analysis was used to estimate gray matter volume changes. Tract-based spatial statistics and region of interest-based analysis were used to evaluate WM microstructure changes. WM network analysis was also performed. Significantly higher prevalence of VBD in PD patients was identified compared with general population. Lower fractional anisotropy and higher diffusivity, without significant gray matter involvement, were found in PD patients with VBD in widespread areas. Decreased global and local efficiency, increased hierarchy, decreased degree centrality at left Rolandic operculum, increased betweenness centrality at left postcentral gyrus and decreased average connectivity strength between and within several modules were identified in PD patients with VBD. VBD is more prevalent in PD patients than general population. Widespread impairments in WM microstructure and WM network involving various motor and nonmotor PD symptom–related areas are more prominent in PD patients with VBD compared with PD patients without VBD.

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Section: Discussionmentioning

confidence: 89%

Increased prevalence of vertebrobasilar dolichoectasia in Parkinson’s disease and its effect on white matter microstructure and network

Li,

Zhu,

Lai

et al. 2024

NeuroReport

View full text Add to dashboard Cite

show abstract

“…Numerous neuroimaging studies have employed ROI approaches ( 41 ) to explore microscopic brain structure alterations associated with PD. These studies typically rely on a priori knowledge to guide ROI and feature selection, which can be subjective and may overlook changes occurring beyond the selected areas.…”

Section: Discussionmentioning

confidence: 99%

White matter biomarker for predicting de novo Parkinson’s disease using tract-based spatial statistics: a machine learning-based model

Zhang,

Wang,

Shi

et al. 2024

Quant Imaging Med Surg

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Background Parkinson’s disease (PD) is an irreversible, chronic degenerative disease of the central nervous system, potentially associated with cerebral white matter (WM) lesions. Investigating the microstructural alterations within the WM in the early stages of PD can help to identify the disease early and enable intervention to reduce the associated serious threats to health. Methods This study selected 227 cases from the Parkinson’s Progression Markers Initiative (PPMI) database, including 152 de novo PD patients and 75 normal controls (NC). Whole-brain voxel analysis of the WM was performed using the tract-based spatial statistics (TBSS) method. The WM regions with statistically significant differences (P<0.05) between the PD and NC groups were identified and used as masks. The mask was applied to each case’s fractional anisotropy (FA) image to extract voxel values as feature vectors. Geometric dimensionality reduction was then applied to eliminate redundant values in the feature vectors. Subsequently, the cases were randomly divided into a training group (158 cases, including 103 PD patients and 55 NC) and a test group (69 cases, including 49 PD patients and 20 NC). The least absolute shrinkage and selection operator (LASSO) regression algorithm was employed to extract the minimal set of relevant features, then the random forest (RF) algorithm was utilized for classification using 5-fold cross validation. The resulting model was further integrated with clinical factors to create a comprehensive prediction model. Results In comparison to the NC group, the FA values in PD patients exhibited a statistically significant decrease (P<0.05), indicating the presence of widespread WM lesions across multiple brain regions. Moreover, the PD prediction model, constructed based on these WM lesion regions, yielded prediction accuracy (ACC) and area under the receiver operating characteristic (ROC) curve (AUC) values of 0.778 and 0.865 in the validation set, and 0.783 and 0.831 in the test set, respectively. Furthermore, the performance of the integrated model showed some improvement, with ACC and AUC values in the test set reaching 0.804 and 0.844, respectively. Conclusions The quantitative calculation of WM lesion area on FA images using the TBSS method can serve as a neuroimaging biomarker for diagnosing and predicting early PD at the individual level. When integrated with clinical variables, the predictive performance improves.

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“…Wu and colleagues have veri ed that the structures of whole CC and its connectivity-speci c subsections were progressively disrupted during disease course [14]. In more recent study, Amandola et al found that FA maintained lower in the right hemisphere of CC at both baseline and 24 months follow-up [24]. However, the presence of free-water (FW) can signi cantly bias diffusion indices and lead to a decrease in FA and an increase in MD [25].…”

Section: Introductionmentioning

confidence: 99%

Microstructural degeneration of the corpus callosum in Parkinson’s disease with unilateral onset: A free-water imaging study

Chen,

Wu,

Zhou

et al. 2024

Preprint

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Background The laterality of motor symptoms is an important clinical feature of PD, which is not only manifested as the lateral dysfunctions of limbs but also affects the non-motor symptoms and the prognosis in PD patients. Former studies suggested that the compensatory mechanisms in the dominant hemisphere of brain may be an underlying explanation. The corpus callosum (CC) is the largest fiber connecting the two hemispheres of brain. Considering CC as the pointcut may help to explore the mechanism of the laterality of motor symptoms affecting the non-motor symptoms and prognosis in PD patients. Purpose To explore microstructural degeneration of CC in PD patients with unilateral motor symptoms onset based on the bi-tensor model of diffusion imaging technology, and further explore the relationship with motor and non-motor performance. Methods A total of 201 right-handed PD patients with unilateral motor symptoms onset were included in this study, including 91 patients with left-onset (LPD) and 110 with right-onset (RPD), as well as 100 right-handed healthy controls (HC). A bi-tensor model of diffusion tensor imaging (DTI) was applied to obtain free-water (FW), as well as fractional anisotropy (FAT) and mean diffusivity (MDT) after correcting free-water. CC was divided into halves by the median sagittal line, and each was further divided into five functional segments manually according to the specific template. A total of 10 subregions were obtained and numbered in sequence. The laterality index (LI) was calculated to quantify the asymmetry of CC and its segments. The general linear model was used for the comparisons among groups, and then partial correlation analysis was performed to explore the relationship between the diffusion parameters of CC subregions and clinical manifestations. Results Compared with HC, FW and FAT of CC in bilateral hemispheres were decreased in LPD group, while MDT in right hemisphere was increased. In LPD group, FAT of all CC subregions except for subregions 1, 3 and 6 were significantly lower than HC, and MDT in anterior and posterior segments of CC (CC subregions 1, 5, 6, 7 and 10) were significantly higher than HC. In RPD group, FAT of subregion 7 was significantly decreased and MDT was increased than HC. The LI analysis of CC reflected significant interhemispheric FAT asymmetry of the anterior and middle segments of CC in RPD group, with a more significant reduction in the right hemisphere of CC. Moreover, the degeneration in CC and its subregions was related to motor or non-motor symptoms in PD. Conclusions Extensive damage of CC was observed in LPD group than in RPD group, while asymmetrical damage was found in the anterior and middle segments of CC in RPD group, suggesting that differences in the patterns of callosal degeneration may be one of the potential mechanisms of asymmetrical motor symptoms affect the non-motor symptoms and prognosis in PD.

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Longitudinal corpus callosum microstructural decline in early-stage Parkinson’s disease in association with akinetic-rigid symptom severity

Cited by 9 publications

References 56 publications

Increased prevalence of vertebrobasilar dolichoectasia in Parkinson’s disease and its effect on white matter microstructure and network

Increased prevalence of vertebrobasilar dolichoectasia in Parkinson’s disease and its effect on white matter microstructure and network

White matter biomarker for predicting de novo Parkinson’s disease using tract-based spatial statistics: a machine learning-based model

Microstructural degeneration of the corpus callosum in Parkinson’s disease with unilateral onset: A free-water imaging study

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