Mechanisms of Repetitive Transcranial Magnetic Stimulation on Post-stroke Depression: A Resting-State Functional Magnetic Resonance Imaging Study

被引:0
作者
Yamei Li
Kuide Li
Rongjian Feng
Yi Li
Yufeng Li
Hong Luo
Qian Yu
机构
[1] University of Electronic Science and Technology of China,Department of Rehabilitation Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, School of Medicine
[2] University of Electronic Science and Technology of China,Department of Radiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, School of Medicine
来源
Brain Topography | 2022年 / 35卷
关键词
repetitive transcranial magnetic stimulation (rTMS); functional magnetic resonance imaging (fMRI); Depression; Ischemic stroke; Default mode network;
D O I
暂无
中图分类号
学科分类号
摘要
We aimed to identify neural mechanisms underlying clinical response to repetitive transcranial magnetic stimulation (rTMS) in post-stroke depression (PSD) by the Resting-state functional magnetic resonance imaging (rs-fMRI). Thirty-two depressed patients after ischemic stroke were randomized in a 1:1 ratio to receive 20 min of 5 Hz rTMS or sham over left dorsolateral prefrontal cortex (DLPFC) in addition to routine supportive treatments. The clinical outcome was measured by the 17-item Hamilton Depression Rating Scale (HDRS-17), while the imaging results were acquired from rs-fMRI, including regional homogeneity (ReHo), fractional amplitude of low-frequency fluctuation (fALFF) and seed-based dynamic functional connection (dFC). HRSD-17 scores were improved in the two groups after treatment (P < 0.01), while greater mood improvement was observed in the rTMS group (P < 0.05). Compared with the sham group, the rTMS group demonstrated regions with higher ReHo and fALFF values locating mainly in the left hemisphere and highly consistent with the default mode network (DMN) (p < 0.05). Using the medial prefrontal cortex (mPFC) and posterior cingulate cortex (PCC) as seeds, significant difference between the two groups in dFC within the DMN was found after treatment, including 10 connections with increased connectivity strength and 2 connections with reduced connectivity strength. The ReHo, fALFF and dFC values within DMN in the rTMS group were negatively correlated with the HDRS scores after treatment (P < 0.05). Our results indicated reductions in depressive symptoms following rTMS in PSD are associated with functional alterations of different depression-related areas within the DMN.
引用
收藏
页码:363 / 374
页数:11
相关论文
共 329 条
[21]  
Schnyer D(2015)The connectomics of brain disorders Nat Rev Neurosci 16 159-1025
[22]  
Beynel L(2013)Identification of reproducible individualized targets for treatment of depression with TMS based on intrinsic connectivity Neuroimage 66 151-230
[23]  
Davis SW(2007)Resting-state functional connectivity in major depression: abnormally increased contributions from subgenual cingulate cortex and thalamus Biol Psychiatry 62 429-144
[24]  
Crowell CA(2017)The effects of 10-Hz repetitive transcranial magnetic stimulation on depression in chronic stroke patients Brain Stimul 10 270-1484
[25]  
Dannhauer M(2018)Hypomania Risk in Noninvasive Brain Stimulation Cureus 10 e2204-611
[26]  
Lim W(2014)Part I: frequency of depression after stroke: an updated systematic review and meta-analysis of observational studies Int J Stroke 9 1017-224
[27]  
Palmer H(2015)Depressive rumination, the default-mode network, and the dark matter of clinical neuroscience Biol Psychiatry 78 224-528
[28]  
Boddington LJ(2018)Altered brain fraction amplitude of low frequency fluctuation at resting state in patients with early left and right bell's palsy: do they have differences? Front Neurosci 12 797-960
[29]  
Reynolds JNJ(2017)Functional reorganization of right prefrontal cortex underlies sustained naming improvements in chronic aphasia via repetitive transcranial magnetic stimulation Cogn Behav Neurol 30 133-526
[30]  
Broyd SJ(2021)Repetitive transcranial magnetic stimulation for post-stroke depression: a randomised trial with neurophysiological insight J Neurol 268 1474-380