Levodopa responsiveness and white matter alterations in Parkinson's disease: A DTI‐based study and brain network analysis: A cross‐sectional study

Du, Juncong; Zhou, Xuan; Liang, Yi; Zhao, Lili; Dai, Chengcheng; Zhong, Yuke; Liu, Huan; Liu, Guohui; Mo, Lijuan; Tan, Chong-Tin; Liu, Xi; Chen, Lifen

doi:10.1002/brb3.2825

Cited by 6 publications

(3 citation statements)

References 58 publications

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“…However, Ogawa et al 38 suggest that a significant increase in NDI values may be affected by iron accumulation and/or gliosis in the damaged site. Moreover, an overdose of levodopa therapy may elevate NDI and ODI values in gait-impaired PD patients 39 . On the other hand, we postulate that the underlying mechanism could be a compensatory one in PD patients.…”

Section: Discussionmentioning

confidence: 99%

Gait impairment-related axonal degeneration in Parkinson’s disease by neurite orientation dispersion and density imaging

Wei,

Wang,

Zhang

et al. 2024

npj Parkinsons Dis.

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Microstructural alterations in the brain networks of Parkinson’s disease (PD) patients are correlated with gait impairments. Evaluate microstructural alterations in the white matter (WM) fiber bundle tracts using neurite orientation dispersion and density imaging (NODDI) technique in PD versus healthy controls (HC). In this study, 24 PD patients and 29 HC were recruited. NODDI and high-resolution 3D structural images were acquired for each participant. The NODDI indicators, including the intracellular neurite density index (NDI), orientation dispersion index (ODI), and isotropic volume fraction (ISO), were compared between the two groups. Diffusion-weighted (DW) images were preprocessed using MRtrix 3.0 software and the orientation distribution function to trace the main nerve fiber tracts in PD patients. Quantitative gait and clinical assessment scales were used to compare the medication “ON” and “OFF” states of PD patients. The NDI, ODI, and ISO values of the WM fiber bundles were significantly higher in PD patients compared to HC. Fiber bundles, including the anterior thalamic radiation, corticospinal tract, superior longitudinal fasciculus, forceps major, cingulum, and inferior longitudinal fasciculus, were found to be significantly affected in PD. The NDI changes of PD patients were well correlated with stride lengths in the “ON” state; ODI changes were correlated with the stride time in the “ON” and “OFF” states and ISO changes were correlated with the stride time and cadence in the “ON” state. In conclusion, combination of NODDI technique and gait parameters can help detect gait impairment in PD patients early and accurately.

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Section: Discussionmentioning

confidence: 99%

Gait impairment-related axonal degeneration in Parkinson’s disease by neurite orientation dispersion and density imaging

Wei,

Wang,

Zhang

et al. 2024

npj Parkinsons Dis.

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“…For instance, the FA of entire corticospinal tracts significantly decreased in stroke patients, correlating with impaired function and prognostic recovery ( Vargas et al, 2013 ; Wen et al, 2016 ; Lee et al, 2021 ). AFQ was applied to identify altered diffusion features in specific vulnerable segments along fiber tract ( Zhang et al, 2018 ; Du et al, 2022 ). In this study, the affected tracts detected at the group level via AFQ belonged to two systems: the association WM fibers (IFOF_L, IFOF_R, ILF_L, UF_R) and the projection WM fibers (CST_L, TR_L, and TR_R).…”

Section: Discussionmentioning

confidence: 99%

A normative modeling approach to quantify white matter changes and predict functional outcomes in stroke patients

Su,

Yan,

Zhu

et al. 2024

Front. Neurosci.

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ObjectivesThe diverse nature of stroke necessitates individualized assessment, presenting challenges to case-control neuroimaging studies. The normative model, measuring deviations from a normal distribution, provides a solution. We aim to evaluate stroke-induced white matter microstructural abnormalities at group and individual levels and identify potential prognostic biomarkers.MethodsForty-six basal ganglia stroke patients and 46 healthy controls were recruited. Diffusion-weighted imaging and clinical assessment were performed within 7 days after stroke. We used automated fiber quantification to characterize intergroup alterations of segmental diffusion properties along 20 fiber tracts. Then each patient was compared to normative reference (46 healthy participants) by Mahalanobis distance tractometry for 7 significant fiber tracts. Mahalanobis distance-based deviation loads (MaDDLs) and fused MaDDLmulti were extracted to quantify individual deviations. We also conducted correlation and logistic regression analyses to explore relationships between MaDDL metrics and functional outcomes.ResultsDisrupted microstructural integrity was observed across the left corticospinal tract, bilateral inferior fronto-occipital fasciculus, left inferior longitudinal fasciculus, bilateral thalamic radiation, and right uncinate fasciculus. The correlation coefficients between MaDDL metrics and initial functional impairment ranged from 0.364 to 0.618 (p < 0.05), with the highest being MaDDLmulti. Furthermore, MaDDLmulti demonstrated a significant enhancement in predictive efficacy compared to MaDDL (integrated discrimination improvement [IDI] = 9.62%, p = 0.005) and FA (IDI = 34.04%, p < 0.001) of the left corticospinal tract.ConclusionMaDDLmulti allows for assessing behavioral disorders and predicting prognosis, offering significant implications for personalized clinical decision-making and stroke recovery. Importantly, our method demonstrates prospects for widespread application in heterogeneous neurological diseases.

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“…We use the Network Analysis function module in the graph theory network analysis toolbox GRETNA to calculate the topological properties of brain networks. The FN threshold is set to 3 ( 16 ), and the global properties include Small-world parameters for clustering coefficient and characteristic path length, local and global efficiency, modularity, coordination, synchronization, and hierarchy. Nodal properties include nodal degree, nodal efficiency, nodal cluster coefficient, etc.…”

Section: Methodsmentioning

confidence: 99%

Abnormalities of white matter network properties in middle-aged and elderly patients with functional constipation

Xueyan,

Qi,

Chunming

et al. 2024

Front. Neurol.

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PurposeTo explore white matter network topological properties changes in middle-aged and elderly patients with functional constipation (Functional Constipation, FC) by diffusion tensor imaging (DTI), and to evaluate the correlation between the abnormal changes and clinical data.Methods29 FC patients and 31 age- and sex-matched healthy controls (HC) were recruited. Magnetic resonance imaging and clinical data were collected. The white matter network changes in FC patients were analyzed using deterministic fiber tracking methods, graph theory algorithms, and partial correlation analysis with clinical data.ResultsThe nodal clustering coefficient and nodal local efficiency of FC patients in the right orbital inferior frontal gyrus, right medial superior frontal gyrus, right rectus muscle, right hippocampus, left paracentral lobule and left temporal pole, and the nodal clustering coefficient in right orbital superior frontal gyrus, left cuneus lobe and right superior occipital gyrus, the nodal local efficiency in the right medial and paracingulate gyrus, right precuneus and right dorsolateral superior frontal gyrus of FC patients are lower than that of HC. The nodal local efficiency and clustering coefficient of FC patients in left hippocampus, left amygdala, right parietal inferior limbic angular gyrus and right angular gyrus, the nodal local efficiency in the right fusiform gyrus, left supplementary motor cortex and the nodal efficiency in the left lateral temporal gyrus and right orbital middle frontal gyrus (ORBmid.R) of FC patients are higher than that of HC. The nodal efficiency of ORBmid.R in FC was positively correlated with the Patient Assessment of Constipation quality of life questionnaire (PAC-QoL).ConclusionMiddle-aged and elderly FC patients have differences in the nodal level properties in the limbic system, supplementary motor cortex, and default mode network brain regions, and the nodal efficiency of ORBmid.R was positively correlated with the PAC-QoL score, revealing that FC may be related to the abnormal processing of visceral sensorimotor in ORBmid.R and providing potential imaging diagnostic markers and therapeutic targets for middle-aged and elderly FC patients.

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Levodopa responsiveness and white matter alterations in Parkinson's disease: A DTI‐based study and brain network analysis: A cross‐sectional study

Cited by 6 publications

References 58 publications

Gait impairment-related axonal degeneration in Parkinson’s disease by neurite orientation dispersion and density imaging

Gait impairment-related axonal degeneration in Parkinson’s disease by neurite orientation dispersion and density imaging

A normative modeling approach to quantify white matter changes and predict functional outcomes in stroke patients

Abnormalities of white matter network properties in middle-aged and elderly patients with functional constipation

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