Regional gray matter changes and age predict individual treatment response in Parkinson's disease
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F19%3A10392918" target="_blank" >RIV/00216208:11110/19:10392918 - isvavai.cz</a>
Alternative codes found
RIV/00023884:_____/19:00007987
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=VOugUNzsLg" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=VOugUNzsLg</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.nicl.2018.101636" target="_blank" >10.1016/j.nicl.2018.101636</a>
Alternative languages
Result language
angličtina
Original language name
Regional gray matter changes and age predict individual treatment response in Parkinson's disease
Original language description
We aimed at testing the potential of biomarkers in predicting individual patient response to dopaminergic therapy for Parkinson's disease. Treatment efficacy was assessed in 30 Parkinson's disease patients as motor symptoms improvement from unmedicated to medicated state as assessed by the Unified Parkinson's Disease Rating Scale score III. Patients were stratified into weak and strong responders according to the individual treatment response. A multiple regression was implemented to test the prediction accuracy of age, disease duration and treatment dose and length. Univariate voxel-based morphometry was applied to investigate differences between the two groups on age-corrected T1-weighted magnetic resonance images. Multivariate support vector machine classification was used to predict individual treatment response based on neuroimaging data. Among clinical data, increasing age predicted a weaker treatment response. Additionally, weak responders presented greater brain atrophy in the left temporoparietal operculum. Support vector machine classification revealed that gray matter density in this brain region, including additionally the supplementary and primary motor areas and the cerebellum, was able to differentiate weak and strong responders with 74% accuracy. Remarkably, age and regional gray matter density of the left temporoparietal operculum predicted both and independently treatment response as shown in a combined regression analysis. In conclusion, both increasing age and reduced gray matter density are valid and independent predictors of dopaminergic therapy response in Parkinson's disease
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
<a href="/en/project/GA16-13323S" target="_blank" >GA16-13323S: MIcro and MAcro Connectomics of the Subthalamic nucleus in humans: impact of neuromodulation and dopamine depletion</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
NeuroImage: Clinical
ISSN
2213-1582
e-ISSN
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Volume of the periodical
21
Issue of the periodical within the volume
2019
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
6
Pages from-to
101636
UT code for WoS article
000460337700049
EID of the result in the Scopus database
2-s2.0-85058530976