小柯机器人

英国剑桥大学Andrea I. Luppi等研究人员发现人类大脑进化和认知的一个协同核心。2022年5月26日，《自然—神经科学》杂志在线发表了这项成果。

研究人员表示，神经信息处理的组织是如何使人类实现复杂的认知的？通过将脑区之间的功能互动分解为协同和冗余部分，研究人员揭示了它们不同的信息处理作用。结合功能和结构神经影像学和元分析结果，研究人员证明冗余的互动主要与结构耦合的、模块化的感觉运动处理有关。而协同作用则支持高阶大脑网络的整合过程和复杂认知。人脑利用协同信息的程度比非人灵长类动物要高，高协同关联皮层表现出最高程度的进化皮层扩展。

来自正电子发射断层扫描的突触密度图和趋同的分子和代谢证据表明，协同作用得到了受体多样性和人类加速突触功能的基础基因的支持。这种解决信息问题的方法提供了分析工具，将信息整合与耦合分离开来，从而能够对功能连接进行更丰富、更准确的解释，并阐明人类神经认知结构如何在稳健性和整合性之间进行权衡。

附：英文原文

Title: A synergistic core for human brain evolution and cognition

Author: Luppi, Andrea I., Mediano, Pedro A. M., Rosas, Fernando E., Holland, Negin, Fryer, Tim D., OBrien, John T., Rowe, James B., Menon, David K., Bor, Daniel, Stamatakis, Emmanuel A.

Issue&Volume: 2022-05-26

Abstract: How does the organization of neural information processing enable humans’ sophisticated cognition Here we decompose functional interactions between brain regions into synergistic and redundant components, revealing their distinct information-processing roles. Combining functional and structural neuroimaging with meta-analytic results, we demonstrate that redundant interactions are predominantly associated with structurally coupled, modular sensorimotor processing. Synergistic interactions instead support integrative processes and complex cognition across higher-order brain networks. The human brain leverages synergistic information to a greater extent than nonhuman primates, with high-synergy association cortices exhibiting the highest degree of evolutionary cortical expansion. Synaptic density mapping from positron emission tomography and convergent molecular and metabolic evidence demonstrate that synergistic interactions are supported by receptor diversity and human-accelerated genes underpinning synaptic function. This information-resolved approach provides analytic tools to disentangle information integration from coupling, enabling richer, more accurate interpretations of functional connectivity, and illuminating how the human neurocognitive architecture navigates the trade-off between robustness and integration.

DOI: 10.1038/s41593-022-01070-0

Source: https://www.nature.com/articles/s41593-022-01070-0

Nature Neuroscience：《自然—神经科学》，创刊于1998年。隶属于施普林格·自然出版集团，最新IF：28.771
官方网址：https://www.nature.com/neuro/
投稿链接：https://mts-nn.nature.com/cgi-bin/main.plex