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Featured researches published by Maud Rouillard.


NeuroImage | 2014

Mapping track density changes in nigrostriatal and extranigral pathways in Parkinson's disease

Erik Ziegler; Maud Rouillard; Elodie André; Tim Coolen; Johan Stender; Evelyne Balteau; Christophe Phillips; Gaëtan Garraux

In Parkinsons disease (PD) the demonstration of neuropathological disturbances in nigrostriatal and extranigral brain pathways using magnetic resonance imaging remains a challenge. Here, we applied a novel diffusion-weighted imaging approach—track density imaging (TDI). Twenty-seven non-demented Parkinsons patients (mean disease duration: 5 years, mean score on the Hoehn & Yahr scale = 1.5) were compared with 26 elderly controls matched for age, sex, and education level. Track density images were created by sampling each subjects spatially normalized fiber tracks in 1 mm isotropic intervals and counting the fibers that passed through each voxel. Whole-brain voxel-based analysis was performed and significance was assessed with permutation testing. Statistically significant increases in track density were found in the Parkinsons patients, relative to controls. Clusters were distributed in disease-relevant areas including motor, cognitive, and limbic networks. From the lower medulla to the diencephalon and striatum, clusters encompassed the known location of the locus coeruleus and pedunculopontine nucleus in the pons, and from the substantia nigra up to medial aspects of the posterior putamen, bilaterally. The results identified in brainstem and nigrostriatal pathways show a large overlap with the known distribution of neuropathological changes in non-demented PD patients. Our results also support an early involvement of limbic and cognitive networks in Parkinsons disease.


Journal of Clinical and Experimental Neuropsychology | 2017

Contribution of four lifelong factors of cognitive reserve on late cognition in normal aging and Parkinson’s disease

Maud Rouillard; Michel Audiffren; Cédric Albinet; Mohamed Ali Bahri; Gaëtan Garraux; Fabienne Collette

ABSTRACT Introduction. Cognitive reserve (CR) was proposed to explain how individual differences in brain function help to cope with the effects of normal aging and neurodegenerative diseases. Education, professional solicitations, and engagement in leisure and physical activities across the lifetime are considered as major determinants of this reserve. Method. Using multiple linear regression analyses, we tested separately in healthy elderly and Parkinson’s disease (PD) populations to what extent cognitive performance in several domains was explained by (a) any of these four environmental lifespan variables; (b) demographic and clinical variables (age, gender, depression score, and, for the PD group, duration of disease and dopaminergic drugs). We also tested for an interaction, if any, between these lifespan variables and brain pathology indexed by global atrophy measured from high-resolution anatomical magnetic resonance imaging. Results. Age was negatively associated with cognitive performance in the PD group. In healthy elderly participants, we observed significant positive associations between cognitive performance and (a) education, (b) leisure activities, and (c) professional solicitation (decisional latitude). Furthermore, participants with greater brain atrophy benefited more from CR. In PD patients, education and professional solicitations contributed to cognitive performance but to a lesser extent than in controls. CR factors modulated the relationship between cognition and brain atrophy only in patients with a slight or moderate brain atrophy. Conclusions. Education is the CR factor that contributed the most to late cognitive functioning in both groups, closely followed by leisure activity in normal aging and professional solicitations in PD. Our results also provide evidence suggesting that the effects of CR does not express similarly in normal aging and PD. From a broader perspective, these results seem to indicate that CR factors the most consistently practiced across lifespan (education and professional solicitation) are those that are the more strongly associated to late cognitive efficiency.


Archive | 2018

Degree of Centrality within the motor network for Parkinson’s Disease

Katherine Andrea Baquero Duarte; Pieter Guldenmund; Maud Rouillard; Frédérique Depierreux; Evelyne Balteau; Christophe Phillips; Mohamed Ali Bahri; Gaëtan Garraux


Archive | 2017

Mean and variance of Dynamic Functional Connectivity in Parkinson’s Disease

Katherine Andrea Baquero Duarte; Pieter Guldenmund; Maud Rouillard; Frédérique Depierreux; Evelyne Balteau; Christophe Phillips; Mohamed Ali Bahri; Gaëtan Garraux


Archive | 2016

How to find a biomarker to accurately diagnose early stage Parkinson’s Disease? Analysis of time-frequency functional activity and connectivity using resting-state fMRI

Katherine Andrea Baquero Duarte; Maud Rouillard; Frédérique Depierreux; Pieter Guldenmund; Mohamed Ali Bahri; Evelyne Balteau; Christophe Phillips; Gaëtan Garraux


Archive | 2016

A time­-frequency analysis of resting-­state BOLD fMRI activity in Parkinson’s disease

Katherine Andrea Baquero Duarte; Maud Rouillard; Frédérique Depierreux; Pieter Guldenmund; Mohamed Ali Bahri; Evelyne Balteau; Gaëtan Garraux


Archive | 2015

Comparison of brain functional connectivity methods for the diagnosis of Parkinson’s disease using resting state fMRI

Katherine Andrea Baquero Duarte; Maud Rouillard; Frédérique Depierreux; Christophe Phillips; Gaëtan Garraux


Archive | 2014

Quantitative multi-parameter mapping in parkinson’s disease: preliminary results

Maud Rouillard; Kevin D'Ostilio; Cédric Albinet; Michel Audiffren; Mohamed Ali Bahri; Fabienne Collette; Gaëtan Garraux


Neurology | 2014

Mapping Track Density Changes In Nigrostriatal And Extranigral Pathways In Parkinson’s Disease (P6.066)

Gaëtan Garraux; Erik Ziegler; Maud Rouillard; Elodie André; Tim Coolen; Johan Stender; Evelyne Balteau; Christophe Phillips


Archive | 2013

An intervention study on physical activity and cognitive functioning in people with Parkinson’s disease

Maud Rouillard; Michel Audiffren; Cédric Albinet; Gaëtan Garraux; Fabienne Collette

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