Neuropsychiatric Disease and Treatment (Jun 2024)

Abnormalities in Electroencephalographic Microstates in Patients with Late-Life Depression

  • Lao J,
  • Zeng Y,
  • Wu Z,
  • Lin G,
  • Wang Q,
  • Yang M,
  • Zhang S,
  • Xu D,
  • Zhang M,
  • Yao K,
  • Liang S,
  • Liu Q,
  • Li J,
  • Zhong X,
  • Ning Y

Journal volume & issue
Vol. Volume 20
pp. 1201 – 1210

Abstract

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Jingyi Lao,1,* Yijie Zeng,1,* Zhangying Wu,1 Gaohong Lin,1 Qiang Wang,1 Mingfeng Yang,1 Si Zhang,1 Danyan Xu,1 Min Zhang,1 Kexin Yao,1 Shuang Liang,1 Qin Liu,1 Jiafu Li,1 Xiaomei Zhong,1 Yuping Ning1– 4 1Geriatric Neuroscience Center, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China; 2The First School of Clinical Medicine, Southern Medical University, Guangzhou, People’s Republic of China; 3Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, People’s Republic of China; 4Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yuping Ning; Xiaomei Zhong, The Affiliated Brain Hospital of Guangzhou Medical University, No. 36, Mingxin Road, Liwan District, Guangzhou, Guangdong, People’s Republic of China, Email [email protected]; [email protected]: Late-life depression (LLD) is characterized by disrupted brain networks. Resting-state networks in the brain are composed of both stable and transient topological structures known as microstates, which reflect the dynamics of the neural activities. However, the specific pattern of EEG microstate in LLD remains unclear.Methods: Resting-state EEG were recorded for 31 patients with episodic LLD (eLLD), 20 patients with remitted LLD (rLLD) and 32 healthy controls (HCs) using a 64-channel cap. The clinical data of the patients were collected and the 17-Item Hamilton Rating Scale for Depression (HAMD) was used for symptom assessment. Duration, occurrence, time coverage and syntax of the four microstate classes (A-D) were calculated. Group differences in EEG microstates and the relationship between microstates parameters and clinical features were analyzed.Results: Compared with NC and patients with rLLD, patients with eLLD showed increased duration and time coverage of microstate class D. Besides, a decrease in occurrence of microstate C and transition probability between microstate B and C was observed. In addition, the time coverage of microstate D was positively correlated with the total score of HAMD, core symptoms, and miscellaneous items.Conclusion: These findings suggest that disrupted EEG microstates may be associated with the pathophysiology of LLD and may serve as potential state markers for the monitoring of the disease.Keywords: late-life depression, microstate, electroencephalogram, resting-state networks

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