Atlas-Guided Tractography for Segmentation of Striatal Subregions in Early Parkinson’s Disease
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064165%3A_____%2F25%3A10506528" target="_blank" >RIV/00064165:_____/25:10506528 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11110/25:10506528
Result on the web
<a href="https://doi.org/10.1051/bioconf/202519502004" target="_blank" >https://doi.org/10.1051/bioconf/202519502004</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1051/bioconf/202519502004" target="_blank" >10.1051/bioconf/202519502004</a>
Alternative languages
Result language
angličtina
Original language name
Atlas-Guided Tractography for Segmentation of Striatal Subregions in Early Parkinson’s Disease
Original language description
Parkinson's disease (PD) and isolated REM sleep behaviour disorder (iRBD) are neurodegenerative conditions associated with alterations in the striatum, a subcortical structure essential for motor and cognitive functions. In this study, we apply diffusion tensor imaging (DTI) and probabilistic tractography to segment the striatum into two functionally distinct compartments: striosomes and matrix. A total of 152 subjects were included: 64 PD patients, 47 iRBD patients, and 41 healthy controls. Preprocessing, tractography, and segmentation were performed using the FSL toolbox; voxel-based morphometry (VBM) was used for group comparisons. Probabilistic group atlases were constructed in MNI space and compared with each other and with the standard MNI_152 atlas using RMSE and statistical testing. Results show significant differences in the matrix region, particularly in the right striatum of iRBD subjects compared to both PD and control groups. Our findings suggest that connectivity-based striatal segmentation may reflect early structural changes in neurodegeneration and could support future biomarker development for PD and related disorders. This tractography-based approach offers a promising tool for the personalized analysis of subcortical brain structures in clinical neuroimaging.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
<a href="/en/project/LX22NPO5107" target="_blank" >LX22NPO5107: National institute for Neurological Research</a><br>
Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Bio Web of Conferences
ISBN
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ISSN
2117-4458
e-ISSN
2117-4458
Number of pages
10
Pages from-to
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Publisher name
EDP Sciences
Place of publication
neuveden
Event location
Prague
Event date
Sep 19, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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