Fixel-based analysis reveals fiber-specific alterations during the progression of Parkinson’s disease

Li, Yanxuan; Guo, Tao; Guan, Xiaojun; Gao, Ting; Sheng, Wenshuang; Zhou, Cheng; Wu, Jingjing; Xuan, Min; Gu, Quanquan; Zhang, Minming; Yang, Yunjun; Huang, Peiyu

doi:10.1016/j.nicl.2020.102355

Cited by 24 publications

(39 citation statements)

References 70 publications

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“…The same trend is replicated in the elevated FA and decreased MD in the same hemisphere from VBA Study 1 . These results confirmed the observation in a few previous studies (Li et al ., 2020; Mole et al ., 2016), where higher FD and FA in CST were detected in PD compared to HC. However, while these studies suggested bilateral changes, we observed primarily unilateral alterations, potentially due to the consideration of symptom laterality onset.…”

Section: Discussionsupporting

confidence: 94%

“…In common with the existing FBA studies on PD progression (Li et al ., 2020; Rau et al ., 2019; Zarkali et al ., 2020), both of which used 3T data, we have identified the splenium of CC, CST, SCP, cingulum, and fornix as regions that are affected by the disease. However, within these tracts, the specific trends in fixel-based measures don’t always agree among previous studies (Li et al ., 2020; Rau et al ., 2019) and ours. For example, Rau et al .…”

Section: Discussionmentioning

confidence: 65%

“…Overall, fixel-based metrics were correlated with the worsening of a 39-item Parkinson’s disease questionnaire, Unified Parkinson’s Disease Rating Scale (UPDRS), and activity of daily living. Later, Li et al . (2020) compared fixel-based measures among 41 PD patients in the early stage (Hoehn & Yahr =1∼1.5), 57 PD patients in the middle stage (Hoehn & Yahr=2∼2.5), and 76 healthy controls.…”

Section: Introductionmentioning

confidence: 97%

“…In addition, they also found a correlation between reduced FD of CC and the deterioration of motor and psychiatric symptoms. Finally, Zarkali et al . (2020) investigated Parkinson hallucination and visual dysfunction with FBA, and discovered lower FC and FDC within the splenium of the CC, as well as lower FC in the left posterior thalamic radiata for patients with Parkinson hallucinations than those without the symptom.…”

Section: Introductionmentioning

confidence: 97%

“…To date, very few have attempted to characterize white matter alterations as a result of Parkinson’s disease using FBA. The existing studies (Li et al ., 2020; Rau et al ., 2019; Zarkali et al ., 2020) primarily focus on early-stage patients, who have started drug treatment. More specifically, Rau et al .…”

Section: Introductionmentioning

confidence: 99%

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Characterizing white matter alterations in drug-naïve de novo Parkinson’s disease with diffusion MRI

Xiao

Peters

Khan³

2021

Preprint

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Parkinson's disease (PD) is a progressive neurodegenerative disorder that is characterized by a range of motor and non-motor symptoms, often with the motor dysfunction initiated unilaterally. Knowledge regarding disease-related alterations in white matter pathways can effectively help improve the understanding of the disease and propose targeted treatment strategies. Microstructural imaging techniques, including diffusion tensor imaging (DTI), allows inspection of white matter integrity to study the pathogenesis of various neurological conditions. Previous voxel-based analyses with DTI measures, such as fractional anisotropy and mean diffusivity have uncovered changes in brain regions that are associated with PD, but the conclusions were inconsistent, partially due to small patient cohorts and the lack of consideration for clinical laterality onset, particularly in early PD. Fixel-based analysis (FBA) is a recent framework that offers tract-specific insights regarding white matter health, but very few FBA studies on PD exist. We present a study that reveals strengthened and weakened white matter integrity that is subject to symptom laterality in a large drug-naïve de novo PD cohort using complementary DTI and FBA measures. The findings suggest that the disease gives rise to both functional degeneration and the creation of compensatory networks in the early stage.

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Section: Discussionsupporting

confidence: 94%

Section: Discussionmentioning

confidence: 65%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Characterizing white matter alterations in drug-naïve de novo Parkinson’s disease with diffusion MRI

Xiao

Peters

Khan³

2021

Preprint

View full text Add to dashboard Cite

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Characterizing white matter alterations subject to clinical laterality in drug‐naïve de novo Parkinson's disease

Xiao

Peters

Khan

2021

Human Brain Mapping

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Parkinson's disease (PD) is a progressive neurodegenerative disorder that is characterized by a range of motor and nonmotor symptoms, often with the motor dysfunction initiated unilaterally. Knowledge regarding disease‐related alterations in white matter pathways can effectively help improve the understanding of the disease and propose targeted treatment strategies. Microstructural imaging techniques, including diffusion tensor imaging (DTI), allows inspection of white matter integrity to study the pathogenesis of various neurological conditions. Previous voxel‐based analyses with DTI measures, such as fractional anisotropy and mean diffusivity have uncovered changes in brain regions that are associated with PD, but the conclusions were inconsistent, partially due to small patient cohorts and the lack of consideration for clinical laterality onset, particularly in early PD. Fixel‐based analysis (FBA) is a recent framework that offers tract‐specific insights regarding white matter health, but very few FBA studies on PD exist. We present a study that reveals strengthened and weakened white matter integrity that is subject to symptom laterality in a large drug‐naïve de novo PD cohort using complementary DTI and FBA measures. The findings suggest that the disease gives rise to tissue degeneration and potential re‐organization in the early stage.

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Voxel‐based diktiometry: Combining convolutional neural networks with voxel‐based analysis and its application in diffusion tensor imaging for Parkinson's disease

Estudillo-Romero

Haegelen

Jannin

et al. 2022

Human Brain Mapping

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Extracting population‐wise information from medical images, specifically in the neurological domain, is crucial to better understanding disease processes and progression. This is frequently done in a whole‐brain voxel‐wise manner, in which a population of patients and healthy controls are registered to a common co‐ordinate space and a statistical test is performed on the distribution of image intensities for each location. Although this method has yielded a number of scientific insights, it is further from clinical applicability as the differences are often small and altogether do not permit for a high‐performing classifier. In this article, we take the opposite approach of using a high‐performing classifier, specifically a traditional convolutional neural network, and then extracting insights from it which can be applied in a population‐wise manner, a method we call voxel‐based diktiometry. We have applied this method to diffusion tensor imaging (DTI) analysis for Parkinson's disease (PD), using the Parkinson's Progression Markers Initiative database. By using the network sensitivity information, we can decompose what elements of the DTI contribute the most to the network's performance, drawing conclusions about diffusion biomarkers for PD that are based on metrics which are not readily expressed in the voxel‐wise approach.

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Fixel-based analysis reveals fiber-specific alterations during the progression of Parkinson’s disease

Cited by 24 publications

References 70 publications

Characterizing white matter alterations in drug-naïve de novo Parkinson’s disease with diffusion MRI

Characterizing white matter alterations in drug-naïve de novo Parkinson’s disease with diffusion MRI

Characterizing white matter alterations subject to clinical laterality in drug‐naïve de novo Parkinson's disease

Voxel‐based diktiometry: Combining convolutional neural networks with voxel‐based analysis and its application in diffusion tensor imaging for Parkinson's disease

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