Identifying Mild Cognitive Impairment in Parkinson's Disease With Electroencephalogram Functional Connectivity

Cai, Min1,2; Dang, Ge1,2; Su, Xiaolin1,2; Zhu, Lin1,2; Shi, Xue1,2; Che, Sixuan3,4; Lan, Xiaoyong1,2; Luo, Xiaoguang1,2; Guo, Yi1,2,5

2021-07-01

10.3389/fnagi.2021.701499

Frontiers in Aging Neuroscience   影响因子和分区

1663-4365

Objective Cognitive impairment occurs frequently in Parkinson's disease (PD) and negatively impacts the patient's quality of life. However, its pathophysiological mechanism remains unclear, hindering the development of new therapies. Changes in brain connectivity are related to cognitive impairment in patients with PD, with the dorsolateral prefrontal cortex (DLPFC) being considered the essential region related to PD cognitive impairment. Nevertheless, few studies have focused on the global connectivity responsible for communication with the DLPFC node, the posterior division of the middle frontal gyrus (PMFG) in patients with PD; this was the focus of this study. Methods We applied resting-state electroencephalography (EEG) and calculated a reliable functional connectivity measurement, the debiased weighted phase lag index (dWPLI), to examine inter-regional functional connectivity in 68 patients with PD who were classified into two groups according to their cognitive condition. Results We observed that altered left and right PMFG-based functional connectivity associated with cognitive impairment in patients with PD in the theta frequency bands under the eyes closed condition (r = -0.426, p < 0.001 and r = -0.437, p < 0.001, respectively). Exploratory results based on the MoCA subdomains indicated that poorer visuospatial function was associated with higher right PMFG-based functional connectivity (r = -0.335, p = 0.005), and poorer attention function was associated with higher left and right PMFG-based functional connectivity (r = -0.380, p = 0.001 and r = -0.256, p = 0.035, respectively). Further analysis using logistic regression and receiver operating characteristic (ROC) curves found that this abnormal functional connectivity was an independent risk factor for cognitive impairment [odds ratio (OR): 2.949, 95% confidence interval (CI): 1.294-6.725, p = 0.01 for left PMFG; OR: 11.278, 95% CI: 2.578-49.335, p = 0.001 for right PMFG, per 0.1 U], and provided moderate classification power to discriminate between cognitive abilities in patients with PD [area under the ROC curve (AUC) = 0.770 for left PMFG; AUC = 0.809 for right PMFG]. Conclusion These preliminary findings indicate that abnormal PMFG-based functional connectivity patterns associated with cognitive impairment in the theta frequency bands under the eyes closed condition and altered functional connectivity patterns have the potential to act as reliable biomarkers for identifying cognitive impairment in patients with PD.

Parkinson's disease cognitive impairment electroencephalography functional connectivity theta frequency band

SCI

英语

通讯

National Natural Science Foundation of China[81901208] ; Shenzhen Basic Research Program[JCYJ20170818111012390] ; Medical Science and Technology Research Foundation of Guangdong Province[A2019174] ; Shenzhen Health and Family Planning system Scientific Research discipline capacity Promotion Project[SZXJ2017034]

Geriatrics & Gerontology ; Neurosciences & Neurology

Geriatrics & Gerontology ; Neurosciences

WOS:000673718700001

FRONTIERS MEDIA SA

Web of Science

1.Jinan Univ, Shenzhen Peoples Hosp, Clin Med Coll 2, Dept Neurol, Shenzhen, Peoples R China
2.Southern Univ Sci & Technol, Affiliated Hosp 1, Shenzhen, Peoples R China
3.Fourth Peoples Hosp Chengdu, Dept Med, Chengdu, Peoples R China
4.Univ Elect Sci & Technol China, Clin Hosp, Chengdu Brain Sci Inst, Chengdu Mental Hlth Ctr,MOE Key Lab Neuroinformat, Chengdu, Peoples R China
5.Gladstone Inst Neurol Dis, Shenzhen Bay Lab, Shenzhen, Guangdong, Peoples R China

Cai, Min,Dang, Ge,Su, Xiaolin,et al. Identifying Mild Cognitive Impairment in Parkinson's Disease With Electroencephalogram Functional Connectivity[J]. Frontiers in Aging Neuroscience,2021,13.

Cai, Min.,Dang, Ge.,Su, Xiaolin.,Zhu, Lin.,Shi, Xue.,...&Guo, Yi.(2021).Identifying Mild Cognitive Impairment in Parkinson's Disease With Electroencephalogram Functional Connectivity.Frontiers in Aging Neuroscience,13.

Cai, Min,et al."Identifying Mild Cognitive Impairment in Parkinson's Disease With Electroencephalogram Functional Connectivity".Frontiers in Aging Neuroscience 13(2021).