Regional gray matter changes and age predict individual treatment response in Parkinson's disease

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00023884:_____/19:00007987

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Regional gray matter changes and age predict individual treatment response in Parkinson's disease

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Regional gray matter changes and age predict individual treatment response in Parkinson's disease

Popis výsledku anglicky

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

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30103 - Neurosciences (including psychophysiology)

Projekt

<a href="/cs/project/GA16-13323S" target="_blank" >GA16-13323S: Mikro a makro konektomika subtalamického jádra u člověka: vliv neuromodulace a dopaminové deplece</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

NeuroImage: Clinical

ISSN

2213-1582

e-ISSN

—

Svazek periodika

21

Číslo periodika v rámci svazku

2019

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

6

Strana od-do

101636

Kód UT WoS článku

000460337700049

EID výsledku v databázi Scopus

2-s2.0-85058530976