A function-based mapping of sensory integration along the cortical hierarchy

IF 5.2 1区 生物学 Q1 BIOLOGY
Wei Wei, R. Austin Benn, Robert Scholz, Victoria Shevchenko, Ulysse Klatzmann, Francesco Alberti, Rocco Chiou, Demian Wassermann, Tamara Vanderwal, Jonathan Smallwood, Daniel S. Margulies
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Abstract

Sensory information mainly travels along a hierarchy spanning unimodal to transmodal regions, forming multisensory integrative representations crucial for higher-order cognitive functions. Here, we develop an fMRI based two-dimensional framework to characterize sensory integration based on the anchoring role of the primary cortex in the organization of sensory processing. Sensory magnitude captures the percentage of variance explained by three primary sensory signals and decreases as the hierarchy ascends, exhibiting strong similarity to the known hierarchy and high stability across different conditions. Sensory angle converts associations with three primary sensory signals to an angle representing the proportional contributions of different sensory modalities. This dimension identifies differences between brain states and emphasizes how sensory integration changes flexibly in response to varying cognitive demands. Furthermore, meta-analytic functional decoding with our model highlights the close relationship between cognitive functions and sensory integration, showing its potential for future research of human cognition through sensory information processing. A two-dimensional framework representing integrative sensory information along a hierarchy from unimodal to transmodal regions distinguishes between brain states and highlights how sensory integration adapts flexibly to varying cognitive demands.

Abstract Image

沿着皮层层次的感觉统合的基于功能的映射。
感觉信息主要沿着跨越单峰到跨峰区域的层次传播,形成对高阶认知功能至关重要的多感觉整合表征。在这里,我们开发了一个基于功能磁共振成像的二维框架来表征基于初级皮层在感觉加工组织中的锚定作用的感觉整合。感官幅度捕获由三个主要感官信号解释的方差百分比,并随着等级的上升而降低,表现出与已知等级的强烈相似性和在不同条件下的高稳定性。感觉角度将三种主要感觉信号的关联转换为代表不同感觉模式的比例贡献的角度。这个维度识别大脑状态之间的差异,并强调感觉整合如何灵活地响应不同的认知需求。此外,该模型的元分析功能解码强调了认知功能与感觉整合之间的密切关系,显示了其在未来通过感觉信息处理研究人类认知的潜力。
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来源期刊
Communications Biology
Communications Biology Medicine-Medicine (miscellaneous)
CiteScore
8.60
自引率
1.70%
发文量
1233
审稿时长
13 weeks
期刊介绍: Communications Biology is an open access journal from Nature Research publishing high-quality research, reviews and commentary in all areas of the biological sciences. Research papers published by the journal represent significant advances bringing new biological insight to a specialized area of research.
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