scholarly journals Parkinson's disease and healthy aging: Independent and interacting effects on action selection

2010 ◽  
Vol 31 (12) ◽  
pp. 1886-1899 ◽  
Author(s):  
Laura E. Hughes ◽  
Roger A. Barker ◽  
Adrian M. Owen ◽  
James B. Rowe
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Healthy Aging ◽  
Action Selection

scholarly journals Sex Differences in Cognitive Changes in De Novo Parkinson’s Disease

2019 ◽  
Vol 26 (2) ◽  
pp. 241-249 ◽  
Author(s):  
Ece Bayram ◽  
Sarah J. Banks ◽  
Guogen Shan ◽  
Nikki Kaplan ◽  
Jessica Z.K. Caldwell
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Sex Differences ◽  
Verbal Memory ◽  
Healthy Aging ◽  
De Novo ◽  
Cognitive Changes ◽  
Progression Markers ◽  
Cognitively Intact

AbstractObjective:To evaluate the sex differences in cognitive course over 4 years in Parkinson’s disease (PD) patients with and without mild cognitive impairment (MCI) compared to controls.Methods:Four-year longitudinal cognitive scores of 257 cognitively intact PD, 167 PD-MCI, and 140 controls from the Parkinson’s Progression Markers Initiative were included. Longitudinal scores of men and women, and PD with and without MCI were compared.Results:Women had better verbal memory, men had better visuospatial function. There was no interaction between sex, diagnostic group, and/or time (4-year follow-up period).Conclusions:Sex differences in cognitive course in de novo PD are similar to healthy aging. Cognitive decline rates in PD with and without MCI are similar for the first 4 years of PD.

scholarly journals Towards understanding neural network signatures of motor skill learning in Parkinson’s disease and healthy aging

2019 ◽  
Vol 92 (1101) ◽  
pp. 20190071 ◽  
Author(s):  
Evelien Nackaerts ◽  
Nicholas D'Cruz ◽  
Bauke W Dijkstra ◽  
Moran Gilat ◽  
Thomas Kramer ◽  
...  
Keyword(s):  
Neural Network ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Motor Learning ◽  
Healthy Aging ◽  
Network Connectivity ◽  
Cognitive Networks ◽  
Skill Learning ◽  
Point Of View ◽  
Detailed Knowledge

In the past decade, neurorehabilitation has been shown to be an effective therapeutic supplement for patients with Parkinson’s disease (PD). However, patients still experience severe problems with the consolidation of learned motor skills. Knowledge on the neural correlates underlying this process is thus essential to optimize rehabilitation for PD. This review investigates the existing studies on neural network connectivity changes in relation to motor learning in healthy aging and PD and critically evaluates the imaging methods used from a methodological point of view. The results indicate that despite neurodegeneration there is still potential to modify connectivity within and between motor and cognitive networks in response to motor training, although these alterations largely bypass the most affected regions in PD. However, so far training-related changes are inferred and possible relationships are not substantiated by brain–behavior correlations. Furthermore, the studies included suffer from many methodological drawbacks. This review also highlights the potential for using neural network measures as predictors for the response to rehabilitation, mainly based on work in young healthy adults. We speculate that future approaches, including graph theory and multimodal neuroimaging, may be more sensitive than brain activation patterns and model-based connectivity maps to capture the effects of motor learning. Overall, this review suggests that methodological developments in neuroimaging will eventually provide more detailed knowledge on how neural networks are modified by training, thereby paving the way for optimized neurorehabilitation for patients.

scholarly journals The val158met COMT polymorphism's effect on atrophy in healthy aging and Parkinson's disease

2010 ◽  
Vol 31 (6) ◽  
pp. 1064-1068 ◽  
Author(s):  
J.B. Rowe ◽  
L. Hughes ◽  
C.H. Williams-Gray ◽  
S. Bishop ◽  
S. Fallon ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Healthy Aging

IC-P-023: Associations between regional brain atrophy, executive control, and saccadic latency in Parkinson's disease and healthy aging

2010 ◽  
Vol 6 ◽  
pp. S14-S14
Author(s):  
Robert Perneczky ◽  
Boyd C.P. Gosh ◽  
Laura Hughes ◽  
Roger H.S. Carpenter ◽  
Roger A. Barker ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Executive Control ◽  
Brain Atrophy ◽  
Healthy Aging ◽  
Saccadic Latency ◽  
Regional Brain ◽  
Regional Brain Atrophy

scholarly journals Association between MAPT haplotype and memory function in patients with Parkinson's disease and healthy aging individuals

2015 ◽  
Vol 36 (3) ◽  
pp. 1519-1528 ◽  
Author(s):  
Sophie E. Winder-Rhodes ◽  
Adam Hampshire ◽  
James B. Rowe ◽  
Jonathan E. Peelle ◽  
Trevor W. Robbins ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Healthy Aging ◽  
Memory Function

scholarly journals Impaired Motor Recycling during Action Selection in Parkinson’s Disease

eNeuro ◽  
2020 ◽  
Vol 7 (2) ◽  
pp. ENEURO.0492-19.2020
Author(s):  
Matthias Fritsche ◽  
Robrecht P. R. D. van der Wel ◽  
Robin Smit ◽  
Bastiaan R. Bloem ◽  
Ivan Toni ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Action Selection

scholarly journals The Impact of Sex on the Neurocognitive Functions of Patients with Parkinson’s Disease

2021 ◽  
Vol 11 (10) ◽  
pp. 1331
Author(s):  
Mei-Ling Chen ◽  
Chun-Hsiang Tan ◽  
Hui-Chen Su ◽  
Pi-Shan Sung ◽  
Chia-Yi Chien ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Sex Differences ◽  
Healthy Aging ◽  
Neuroprotective Effect ◽  
Wisconsin Card Sorting Test ◽  
Neurocognitive Function ◽  
Card Sorting ◽  
Yahr Stage ◽  
The Impact

This study aimed to understand the impact of sex on the neurocognitive function of patients with Parkinson’s disease (PD). Ninety-four participants with idiopathic PD and 167 age-matched healthy individuals as normal controls (NCs) were recruited and underwent comprehensive neuropsychological assessments. Sex differences were found in NCs, but not in patients with PD. Among male participants, patients with PD showed worse performance on the Digit Symbol Substitution (DSS) (p < 0.001) test and Symbol Search (SS) (p < 0.001) than NCs. Among female participants, patients with PD showed worse performance on the category score of the Modified Wisconsin Card Sorting Test (p < 0.001), SS (p < 0.001), and pentagon copying (p < 0.001) than NCs. After controlling for the effects of age and years of education, Hoehn and Yahr stage was found to predict the performance of the Color Trails Test part A (βA = 0.241, pA = 0.036), Stroop Color and Word Test (β = −0.245, p = 0.036), and DSS (β = −0.258, p = 0.035) in men with PD. These results indicate the differential effect of sex on the neurocognitive function among healthy aging and PD populations. The disappearance of sex differences, which is present in healthy aging, in patients with PD suggests a gradual loss of the neuroprotective effect of estrogen after the initiation of the neurodegenerative process. This study also found mental flexibility and visuospatial function to be the susceptible cognitive domains in women with PD, while the disease severity could predict the working memory and processing speed in men with PD.

scholarly journals Network structure of brain atrophy in de novo Parkinson's disease

eLife ◽  
2015 ◽  
Vol 4 ◽  
Author(s):  
Yashar Zeighami ◽  
Miguel Ulla ◽  
Yasser Iturria-Medina ◽  
Mahsa Dadar ◽  
Yu Zhang ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Medial Temporal Lobe ◽  
Healthy Aging ◽  
De Novo ◽  
Progression Markers ◽  
Magnetic Resonance Imaging Mri ◽  
Cortical Regions ◽  
Clinical Measures ◽  
Deformation Based Morphometry

We mapped the distribution of atrophy in Parkinson's disease (PD) using magnetic resonance imaging (MRI) and clinical data from 232 PD patients and 117 controls from the Parkinson's Progression Markers Initiative. Deformation-based morphometry and independent component analysis identified PD-specific atrophy in the midbrain, basal ganglia, basal forebrain, medial temporal lobe, and discrete cortical regions. The degree of atrophy reflected clinical measures of disease severity. The spatial pattern of atrophy demonstrated overlap with intrinsic networks present in healthy brain, as derived from functional MRI. Moreover, the degree of atrophy in each brain region reflected its functional and anatomical proximity to a presumed disease epicenter in the substantia nigra, compatible with a trans-neuronal spread of the disease. These results support a network-spread mechanism in PD. Finally, the atrophy pattern in PD was also seen in healthy aging, where it also correlated with the loss of striatal dopaminergic innervation.

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