扣带回前部
神经影像学
安慰剂
神经科学
磁刺激
背外侧前额叶皮质
心理学
荟萃分析
脑深部刺激
扣带皮质
腹侧纹状体
前额叶皮质
神经功能成像
后扣带
功能磁共振成像
医学
内科学
刺激
纹状体
认知
中枢神经系统
病理
替代医学
疾病
帕金森病
多巴胺
作者
Matthew J. Burke,Sara M. Romanella,Lucia Mencarelli,Rachel Greben,Michael Fox,Ted J. Kaptchuk,Álvaro Pascual‐Leone,Emiliano Santarnecchi
标识
DOI:10.1038/s41380-021-01397-3
摘要
There is growing evidence that placebo effects can meaningfully modulate the brain. However, there has been little consideration of whether these changes may overlap with regions/circuits targeted by depression treatments and what the implications of this overlap would be on measuring efficacy in placebo-controlled clinical trials. In this systematic review and meta-analysis, we searched PubMed/Medline and Google Scholar for functional MRI and PET neuroimaging studies of placebo effects. Studies recruiting both healthy subjects and patient populations were included. Neuroimaging coordinates were extracted and included for Activation Likelihood Estimation (ALE) meta-analysis. We then searched for interventional studies of transcranial magnetic stimulation (TMS) and deep brain stimulation (DBS) for depression and extracted target coordinates for comparative spatial analysis with the placebo effects maps. Of 1169 articles identified, 34 neuroimaging studies of placebo effects were included. There were three significant clusters of activation: left dorsolateral prefrontal cortex (DLPFC) (x = −41, y = 16, z = 34), left sub-genual anterior cingulate cortex (sgACC)/ventral striatum (x = −8, y = 18, z = −15) and the right rostral anterior cingulate cortex (rACC) (x = 4, y = 42, z = 10). There were two significant deactivation clusters: right basal ganglia (x = 20, y = 2, z = 7) and right dorsal anterior cingulate cortex (dACC) (x = 1, y = −5, z = 45). TMS and DBS targets for depression treatment overlapped with the left DLPFC cluster and sgACC cluster, respectively. Our findings identify a common set of brain regions implicated in placebo effects across healthy individuals and patient populations, and provide evidence that these regions overlap with depression treatment targets. We model the statistical impacts of this overlap and demonstrate critical implications on measurements of clinical trial efficacy for this field.
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