Atlas-Guided Tractography for Segmentation of Striatal Subregions in Early Parkinson’s Disease

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F25%3A00386730" target="_blank" >RIV/68407700:21460/25:00386730 - isvavai.cz</a>

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>

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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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20602 - Medical laboratory technology (including laboratory samples analysis; diagnostic technologies) (Biomaterials to be 2.9 [physical characteristics of living material as related to medical implants, devices, sensors])

Project

<a href="/en/project/LX22NPO5107" target="_blank" >LX22NPO5107: National institute for Neurological Research</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

BIO web of conferences

ISBN

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ISSN

2273-1709

e-ISSN

2117-4458

Number of pages

10

Pages from-to

1-10

Publisher name

EDP Sciences

Place of publication

Les Ulis

Event location

Prague

Event date

Sep 12, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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