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Yong Jeong 2 Articles
Potential Link Between Cognition and Motor Reserve in Patients With Parkinson’s Disease
Seok Jong Chung, Yae Ji Kim, Yun Joong Kim, Hye Sun Lee, Mijin Yun, Phil Hyu Lee, Yong Jeong, Young H. Sohn
J Mov Disord. 2022;15(3):249-257.   Published online September 7, 2022
DOI: https://doi.org/10.14802/jmd.22063
  • 3,142 View
  • 152 Download
  • 6 Web of Science
  • 7 Crossref
AbstractAbstract PDFSupplementary Material
Objective
To investigate whether there is a link between cognitive function and motor reserve (i.e., individual capacity to cope with nigrostriatal dopamine depletion) in patients with newly diagnosed Parkinson’s disease (PD).
Methods
A total of 163 patients with drug-naïve PD who underwent 18F-FP-CIT PET, brain MRI, and a detailed neuropsychological test were enrolled. We estimated individual motor reserve based on initial motor deficits and striatal dopamine depletion using a residual model. We performed correlation analyses between motor reserve estimates and cognitive composite scores. Diffusion connectometry analysis was performed to map the white matter fiber tracts, of which fractional anisotropy (FA) values were well correlated with motor reserve estimates. Additionally, Cox regression analysis was used to assess the effect of initial motor reserve on the risk of dementia conversion.
Results
The motor reserve estimate was positively correlated with the composite score of the verbal memory function domain (γ = 0.246) and with the years of education (γ = 0.251). Connectometry analysis showed that FA values in the left fornix were positively correlated with the motor reserve estimate, while no fiber tracts were negatively correlated with the motor reserve estimate. Cox regression analysis demonstrated that higher motor reserve estimates tended to be associated with a lower risk of dementia conversion (hazard ratio, 0.781; 95% confidence interval, 0.576–1.058).
Conclusion
The present study demonstrated that the motor reserve estimate was well correlated with verbal memory function and with white matter integrity in the left fornix, suggesting a possible link between cognition and motor reserve in patients with PD.

Citations

Citations to this article as recorded by  
  • Hippocampal Perfusion Affects Motor and Cognitive Functions in Parkinson Disease: An Early Phase 18F‐FP‐CIT Positron Emission Tomography Study
    Min Young Chun, Seok Jong Chung, Su Hong Kim, Chan Wook Park, Seong Ho Jeong, Hye Sun Lee, Phil Hyu Lee, Young H. Sohn, Yong Jeong, Yun Joong Kim
    Annals of Neurology.2024; 95(2): 388.     CrossRef
  • Imaging Procedure and Clinical Studies of [18F]FP-CIT PET
    Changhwan Sung, Seung Jun Oh, Jae Seung Kim
    Nuclear Medicine and Molecular Imaging.2024; 58(4): 185.     CrossRef
  • Influence of cognitive reserve on cognitive and motor function in α-synucleinopathies: A systematic review and multilevel meta-analysis
    Isaac Saywell, Lauren Foreman, Brittany Child, Alexander L. Phillips-Hughes, Lyndsey Collins-Praino, Irina Baetu
    Neuroscience & Biobehavioral Reviews.2024; 161: 105672.     CrossRef
  • Structural underpinnings and long-term effects of resilience in Parkinson’s disease
    Verena Dzialas, Merle C. Hoenig, Stéphane Prange, Gérard N. Bischof, Alexander Drzezga, Thilo van Eimeren
    npj Parkinson's Disease.2024;[Epub]     CrossRef
  • Considering the response in addition to the challenge – a narrative review in appraisal of a motor reserve framework
    Daniel Zeller, Shawn Hiew, Thorsten Odorfer, Carine Nguemeni
    Aging.2024; 16(6): 5772.     CrossRef
  • Defining the concept of reserve in the motor domain: a systematic review
    Andreina Giustiniani, Angelo Quartarone
    Frontiers in Neuroscience.2024;[Epub]     CrossRef
  • Extra-Basal Ganglia Brain Structures Are Related to Motor Reserve in Parkinson’s Disease
    Jinyoung Youn, Ji Hye Won, Mansu Kim, Junmo Kwon, Seung Hwan Moon, Minkyeong Kim, Jong Hyun Ahn, Jun Kyu Mun, Hyunjin Park, Jin Whan Cho
    Journal of Parkinson's Disease.2023; 13(1): 39.     CrossRef
Alteration in the Local and Global Functional Connectivity of Resting State Networks in Parkinson’s Disease
Maryam Ghahremani, Jaejun Yoo, Sun Ju Chung, Kwangsun Yoo, Jong C. Ye, Yong Jeong
J Mov Disord. 2018;11(1):13-23.   Published online January 23, 2018
DOI: https://doi.org/10.14802/jmd.17061
  • 11,182 View
  • 238 Download
  • 11 Web of Science
  • 9 Crossref
AbstractAbstract PDF
Objective
Parkinson’s disease (PD) is a neurodegenerative disorder that mainly leads to the impairment of patients’ motor function, as well as of cognition, as it progresses. This study tried to investigate the impact of PD on the resting state functional connectivity of the default mode network (DMN), as well as of the entire brain.
Methods
Sixty patients with PD were included and compared to 60 matched normal control (NC) subjects. For the local connectivity analysis, the resting state fMRI data were analyzed by seed-based correlation analyses, and then a novel persistent homology analysis was implemented to examine the connectivity from a global perspective.
Results
The functional connectivity of the DMN was decreased in the PD group compared to the NC, with a stronger difference in the medial prefrontal cortex. Moreover, the results of the persistent homology analysis indicated that the PD group had a more locally connected and less globally connected network compared to the NC.
Conclusion
Our findings suggest that the DMN is altered in PD, and persistent homology analysis, as a useful measure of the topological characteristics of the networks from a broader perspective, was able to identify changes in the large-scale functional organization of the patients’ brain.

Citations

Citations to this article as recorded by  
  • Topological disruption of high‐order functional networks in cognitively preserved Parkinson's disease
    Song'an Shang, Siying Zhu, Jingtao Wu, Yao Xu, Lanlan Chen, Weiqiang Dou, Xindao Yin, Yu‐Chen Chen, Dejuan Shen, Jing Ye
    CNS Neuroscience & Therapeutics.2023; 29(2): 566.     CrossRef
  • IABC: A Toolbox for Intelligent Analysis of Brain Connectivity
    Yuhui Du, Yanshu Kong, Xingyu He
    Neuroinformatics.2023; 21(2): 303.     CrossRef
  • Topological data analysis in biomedicine: A review
    Yara Skaf, Reinhard Laubenbacher
    Journal of Biomedical Informatics.2022; 130: 104082.     CrossRef
  • Altered Long- and Short-Range Functional Connectivity Density in Patients With Thyroid-Associated Ophthalmopathy: A Resting-State fMRI Study
    Wen-Hao Jiang, Huan-Huan Chen, Wen Chen, Qian Wu, Lu Chen, Jiang Zhou, Xiao-Quan Xu, Hao Hu, Fei-Yun Wu
    Frontiers in Neurology.2022;[Epub]     CrossRef
  • Modulations of static and dynamic functional connectivity among brain networks by electroacupuncture in post-stroke aphasia
    Minjie Xu, Ying Gao, Hua Zhang, Binlong Zhang, Tianli Lyu, Zhongjian Tan, Changming Li, Xiaolin Li, Xing Huang, Qiao Kong, Juan Xiao, Georg S. Kranz, Shuren Li, Jingling Chang
    Frontiers in Neurology.2022;[Epub]     CrossRef
  • Multi-dimensional persistent feature analysis identifies connectivity patterns of resting-state brain networks in Alzheimer’s disease
    Jin Li, Chenyuan Bian, Haoran Luo, Dandan Chen, Luolong Cao, Hong Liang
    Journal of Neural Engineering.2021; 18(1): 016012.     CrossRef
  • Characterizing resting‐state networks in Parkinson’s disease: A multi‐aspect functional connectivity study
    Mahdieh Ghasemi, Ali Foroutannia, Abbas Babajani‐Feremi
    Brain and Behavior.2021;[Epub]     CrossRef
  • The role of the medial prefrontal cortex in cognition, ageing and dementia
    Dan D Jobson, Yoshiki Hase, Andrew N Clarkson, Rajesh N Kalaria
    Brain Communications.2021;[Epub]     CrossRef
  • Image Target Recognition Model of Multi- Channel Structure Convolutional Neural Network Training Automatic Encoder
    Sen Zhang, Qiuyun Cheng, Dengxi Chen, Haijun Zhang
    IEEE Access.2020; 8: 113090.     CrossRef

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