ArticleBrain and behavior2022
Levodopa responsiveness and white matter alterations in Parkinson's disease: A DTI-based study and brain network analysis: A cross-sectional study.
Article in Brain and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- Spatiotemporal profiling of white matter lesions and their contribution in the pathologies of Parkinson's disease animal models.GeroScience · 2026Article
- Prediction of depression development in Parkinson's disease patients: a radiomics-based machine learning study.BMC neurology · 2026Article
- Multimodal brain network topology and enhanced computer-aided diagnosis in Parkinson's Disease: a systematic review and meta-analysis.NPJ digital medicine · 2026Article
- Microstructural alterations of parafascicular nucleus pathways associated with freezing of gait in Parkinson's disease.Brain communications · 2026Article
- Subregional alterations in corpus callosum is associated with different symptoms in early-stage parkinson's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Article
- White matter lesions contribute to motor and non-motor disorders in Parkinson's disease: a critical review.GeroScience · 2025Review
- Gait impairment-related axonal degeneration in Parkinson's disease by neurite orientation dispersion and density imaging.NPJ Parkinson's disease · 2024Article
- Abnormalities of white matter network properties in middle-aged and elderly patients with functional constipation.Frontiers in neurology · 2024Article
- A normative modeling approach to quantify white matter changes and predict functional outcomes in stroke patients.Frontiers in neuroscience · 2024Article
- Levodopa responsiveness and white matter alterations in Parkinson's disease: A DTI-based study and brain network analysis: A cross-sectional study.Brain and behavior · 2022Article
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12 authors at 1 institution in 1 country.
Funding
Abstract
backgroundPatients with Parkinson's disease (PD) present various responsiveness to levodopa, but the cause of such differences in levodopa responsiveness is unclear. Previous studies related the damage of brain white matter (WM) to levodopa responsiveness in PD patients, but no study investigated the relationship between the structural brain network change in PD patients and their levodopa responsiveness.
methodsPD patients were recruited and evaluated using the Unified Parkinson's Disease Rating Scale (UPDRS). Each patient received a diffusion tensor imaging (DTI) scan and an acute levodopa challenge test. The improvement rate of UPDRS-III was calculated. PD patients were grouped into irresponsive group (improvement rate < 30%) and responsive group (improvement rate ≥ 30%). Tract-based spatial statistics (TBSS), deterministic tracing (DT), region of interest (ROI) analysis, and automatic fiber identification (AFQ) analyses were performed. The structural brain network was also constructed and the topological parameters were calculated.
resultsFifty-four PD patients were included. TBSS identified significant differences in fractional anisotropy (FA) values in the corpus callosum and other regions of the brain. DT and ROI analysis of the corpus callosum found a significant difference in FA between the two groups. Graph theory analysis showed statistical differences in global efficiency, local efficiency, and characteristic path length.
conclusionPD patients with poor responsiveness to levodopa had WM damage in multiple brain areas, especially the corpus callosum, which might cause disruption of information integration of the structural brain network.
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