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• Clinical Articles •
Predictive value of alterations of brain structural network topology in early-stage Parkinson's disease with mild cognitive impairment
ZHAO Xiaoyan  ZHANG Wei  ZHONG Weijia  GUO Dajing  LI Chuanming  ZHOU Baiwan  WU Xiaojia 

Cite this article as: Zhao XY, Zhang W, Zhong WJ, et al. Predictive value of alterations of brain structural network topology in early-stage Parkinson's disease with mild cognitive impairment[J]. Chin J Magn Reson Imaging, 2022, 13(3): 12-17, 70. DOI:10.12015/issn.1674-8034.2022.03.003.


[Abstract] Objective Useing diffusion tensor imaging (DTI) to explore the potential predictive value of changes of white matter (WM) structural network topological properties on mild cognitive impairment in early-stage Parkinson's disease (PD).Materials and Methods Eighty-three PD patients with normal cognition at baseline were included from the Parkinson's Progression Markers Initiative (PPMI) database, and all completed a 4-year follow-up. Among the 83 PD patients, 26 developed mild cognitive impairment (PD-MCI) and 57 retained normal cognition (PD-NC). Graph theory was utilized to evaluate the structural WM networks alterations in PD-MCI, and receiver operating characteristic analysis followed by stepwise logistic regression were performed to assess the predictive performance of network topology properties and cognitive measures.Results The patients with PD-MCI showed longitudinal decreased global efficiency and local efficiency, increased characteristic path length (P＜0.05). Locally, patients with PD-MCI exhibited longitudinal reduced nodal centralities, mainly in the frontal, temporal, occipital, parietal and striatal-limbic system regions over time (P＜0.05). Moreover, the longitudinal decline in the degree centrality and nodal efficiency of the right medial orbital superior frontal gyrus, and patient Montreal Cognitive Assessment and Letter–Number Sequencing scores predicted the development of cognitive impairment in early-stage PD (P＜0.01).Conclusions The current study indicates that local network properties in the right medial orbital superior frontal gyrus can predict the onset of cognitive impairment in PD, and highlighting the value of network topology properties as sensitive biomarkers of cognitive decline in early-stage PD patients.
[Keywords] mild cognitive impairment；Parkinson's disease；diffusion tensor imaging；brain network；topological properties

ZHAO Xiaoyan   ZHANG Wei*   ZHONG Weijia   GUO Dajing   LI Chuanming   ZHOU Baiwan   WU Xiaojia  

Department of Radiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China

Zhang W, E-mail: zhangwei98220@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS General Project of Natural Science Foundation of Chongqing (No. cstc2020jcyj-msxmX0044); General Project of Medical Research Plan Project of Chongqing Health Commission (No. 2017MSXM030).
Received  2021-07-24
Accepted  2022-02-21
DOI: 10.12015/issn.1674-8034.2022.03.003
Cite this article as: Zhao XY, Zhang W, Zhong WJ, et al. Predictive value of alterations of brain structural network topology in early-stage Parkinson's disease with mild cognitive impairment[J]. Chin J Magn Reson Imaging, 2022, 13(3): 12-17, 70. DOI:10.12015/issn.1674-8034.2022.03.003.

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