Suppr超能文献

扣带中部皮质的形态学可预测额中线θ神经反馈的成功。

The morphology of midcingulate cortex predicts frontal-midline theta neurofeedback success.

机构信息

Department of Psychology, European Medical School, Carl von Ossietzky University Oldenburg, Germany ; Karl-Jaspers Clinic, European Medical School, Carl von Ossietzky University Oldenburg, Germany.

出版信息

Front Hum Neurosci. 2013 Aug 9;7:453. doi: 10.3389/fnhum.2013.00453. eCollection 2013.

Abstract

Humans differ in their ability to learn how to control their own brain activity by neurofeedback. However, neural mechanisms underlying these inter-individual differences, which may determine training success and associated cognitive enhancement, are not well-understood. Here, it is asked whether neurofeedback success of frontal-midline (fm) theta, an oscillation related to higher cognitive functions, could be predicted by the morphology of brain structures known to be critically involved in fm-theta generation. Nineteen young, right-handed participants underwent magnetic resonance imaging of T1-weighted brain images, and took part in an individualized, eight-session neurofeedback training in order to learn how to enhance activity in their fm-theta frequency band. Initial training success, measured at the second training session, was correlated with the final outcome measure. We found that the inferior, superior, and middle frontal cortices were not associated with training success. However, volume of the midcingulate cortex as well as volume and concentration of the underlying white matter structures act as predictor variables for the general responsiveness to training. These findings suggest a neuroanatomical foundation for the ability to learn to control one's own brain activity.

摘要

人类在通过神经反馈学习控制自身大脑活动的能力上存在差异。然而,个体间差异的神经机制尚不清楚,这些机制可能决定了训练的成功与否以及相关的认知增强。在这里,人们提出一个问题,即与更高认知功能相关的额中线(fm)θ波的神经反馈成功是否可以通过已知对 fm-θ波产生至关重要的脑结构的形态学来预测。19 名年轻的右利手参与者接受了 T1 加权脑图像的磁共振成像,并参加了个体化的八次神经反馈训练,以学习如何增强他们的 fm-θ 频段的活动。在第二次训练时测量的初始训练成功与最终的结果测量相关。我们发现,下额、上额和中额皮质与训练成功无关。然而,扣带回中部皮质的体积以及其下白质结构的体积和浓度是对训练总体反应性的预测变量。这些发现为学习控制自身大脑活动的能力提供了神经解剖学基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb40/3739027/f2ceff2196a1/fnhum-07-00453-g0001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验