Electroencephalographic connectivity predicts clinical response to repetitive transcranial magnetic stimulation in patients with insomnia disorder

Shi，Xue1; Guo，Yi1,2; Zhu，Lin1; Wu，Wei3; Hordacre，Brenton4; Su，Xiaolin1; Wang，Qian1; Chen，Xiaoxia1; Lan，Xiaoyong1; Dang，Ge1

2021-12-01

10.1016/j.sleep.2021.10.017

SLEEP MEDICINE   影响因子和分区

1389-9457

1878-5506

Background: Accumulating evidence suggests that low frequency repetitive transcranial magnetic stimulation (rTMS), which generally decreases cortical excitability and remodels plastic connectivity, improves sleep quality in patients with insomnia disorder. However, the effects of rTMS vary substantially across individuals and treatment is sometimes unsatisfactory, calling for biomarkers for predicting clinical outcomes. Objective: This study aimed to investigate whether functional connectivity of the target network in electroencephalography is associated with the clinical response to low frequency rTMS in patients with insomnia disorder. Methods: Twenty-five patients with insomnia disorder were subjected to 10 sessions of treatment with 1 Hz rTMS over the right dorsolateral prefrontal cortex. Resting-state electroencephalography was collected before rTMS. Pittsburgh Sleep Quality Index, Hamilton Depression Rating Scale, Hamilton Anxiety Rating Scale, and Mini-Mental State Exam were performed before and after rTMS treatment, with a follow-up after one month. Electroencephalographic connectivity was measured by the power envelope connectivity at the source level. Partial least squares regression identified models of connectivity that maximally accounted for the rTMS response. Results: Scores of Pittsburgh Sleep Quality Index, Hamilton Depression Rating Scale, and Hamilton Anxiety Rating Scale were decreased after rTMS and one-month later. Baseline weaker connectivity of a network in the beta and alpha bands between a brain region approximating the stimulated right dorsolateral prefrontal cortex and areas located in the frontal, insular, and limbic cortices was associated with a greater change in Pittsburgh Sleep Quality Index and Hamilton Depression Rating Scale following rTMS. Conclusions: Low frequency rTMS could improve sleep quality and depressive moods in patients with insomnia disorder. Moreover, electroencephalographic functional connectivity would potentially be a robust biomarker for predicting the therapeutic effects.

Electroencephalography Functional connectivity Insomnia disorder Power envelope connectivity Repetitive transcranial magnetic stimulation

SCI

英语

第一 ; 通讯

Natural Science Foundation of China[81901208,61876063] ; Medical Science and Technology Research Foundation of Guangdong Province[A2019174] ; Natural Science Foundation of Guangdong Province[2021A1515010983] ; National Health and Medical Research Council of Australia[1125054]

Neurosciences & Neurology

Clinical Neurology

WOS:000744282000019

ELSEVIER

NEUROSCIENCE & BEHAVIOR

2-s2.0-85118828990

Scopus

1.Department of Neurology,Shenzhen People's Hospital,The Second Clinical Medical College,Jinan University,The First Affiliated Hospital,Southern University of Science and Technology,Shenzhen,518020,China
2.Shenzhen Bay Laboratory,Shenzhen,518020,China
3.School of Automation Science and Engineering,South China University of Technology,Guangzhou,510641,China
4.Innovation,Implementation and Clinical Translation (IIMPACT) in Health,Allied Health and Human Performance,University of South Australia,Australia

Shi，Xue,Guo，Yi,Zhu，Lin,et al. Electroencephalographic connectivity predicts clinical response to repetitive transcranial magnetic stimulation in patients with insomnia disorder[J]. SLEEP MEDICINE,2021,88:171-179.

Shi，Xue.,Guo，Yi.,Zhu，Lin.,Wu，Wei.,Hordacre，Brenton.,...&Dang，Ge.(2021).Electroencephalographic connectivity predicts clinical response to repetitive transcranial magnetic stimulation in patients with insomnia disorder.SLEEP MEDICINE,88,171-179.

Shi，Xue,et al."Electroencephalographic connectivity predicts clinical response to repetitive transcranial magnetic stimulation in patients with insomnia disorder".SLEEP MEDICINE 88(2021):171-179.