Causal mapping of human brain function.
Causal mapping of human brain function.
复制标题
DOI：
10.1038/s41583-022-00583-8
复制
发表时间：
2022-06
期刊：
影响因子：
--
通讯作者：
中科院分区：
文献类型：
--
作者：
绘制人类大脑功能图是神经科学的一个长期目标，有望为大脑疾病新疗法的开发提供信息。早期的人类大脑功能图是基于导致功能变化的脑损伤或脑刺激的位置。随着时间的推移，这种方法在很大程度上被功能性神经成像等技术所取代，这些技术可以识别与行为或症状相关的大脑区域。尽管有这些优点，但这些技术揭示的是相关性，而不是因果关系。这给解释这些工具生成的数据并利用它们开发脑部疾病的治疗方法带来了挑战。基于大脑损伤和大脑刺激的人类大脑功能因果图谱的回归正在进行中。新方法可以将这些因果信息源与现代神经影像学和电生理学技术结合起来，以获得对特定大脑区域功能的新见解。在这篇综述中，我们为转化研究提供了因果关系的定义，提出了一个连续体，用于评估人脑图谱研究中因果信息的相对强度，并讨论了因果脑图谱的最新进展及其与开发治疗的相关性。
Mapping human brain function is a longstanding goal of neuroscience that promises to inform the development of new treatments for brain disorders. Early maps of human brain function were based on locations of brain damage or brain stimulation that caused a change in function. Over time, this approach was largely replaced by technologies such as functional neuroimaging, which identify brain regions correlated with behaviors or symptoms. Despite their advantages, these technologies reveal correlation, not causation. This creates challenges for interpreting the data generated from these tools and using them to develop treatments for brain disorders. A return to causal mapping of human brain function based on brain lesions and brain stimulation is underway. New approaches can combine these causal sources of information with modern neuroimaging and electrophysiology techniques to gain new insights into the functions of specific brain areas. In this Review, we provide a definition of causality for translational research, propose a continuum along which to assess the relative strength of causal information from human brain mapping studies, and discuss recent advances in causal brain mapping and their relevance for developing treatments.
登录
查看更多内容
细胞外田地和电流的起源-EEG，ECOG，LFP和尖峰。
DOI：
10.1038/nrn3241
发表时间：
2012-05-18
期刊：
Nature reviews. Neuroscience
影响因子：
--
作者：
Buzsáki G;Anastassiou CA;Koch C
通讯作者：
Koch C
影响因子：
2.2
作者：
Baluku, Joseph Baruch;Nassozi, Sylvia;Byakika-Kibwika, Pauline
通讯作者：
Byakika-Kibwika, Pauline
影响因子：
5.7
作者：
Bergmann, Til Ole;Varatheeswaran, Rathiga;Siebner, Hartwig Roman
通讯作者：
Siebner, Hartwig Roman
DOI：
10.1016/j.jstrokecerebrovasdis.2020.104816
发表时间：
2020-06-01
影响因子：
2.5
作者：
Chiu, David;McCane, C. David;Helekar, Santosh A.
通讯作者：
Helekar, Santosh A.
影响因子：
9.9
作者：
Brys, Miroslaw;Fox, Michael D.;Pascual-Leone, Alvaro
通讯作者：
Pascual-Leone, Alvaro