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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&apos;s disease. Treatment efficacy was assessed in 30 Parkinson&apos;s disease patients as motor symptoms improvement from unmedicated to medicated state as assessed by the Unified Parkinson&apos;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&apos;s disease

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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

  • 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