Cognitive Neuroanatomy Lab, Université Paris Cité, INCC UMR 8002, CNRS, Paris, France.
Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Commun Biol. 2024 Nov 29;7(1):1593. doi: 10.1038/s42003-024-07224-z.
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.
感觉信息主要沿着从单模态到跨模态区域的层级传递，形成多感觉整合的表示，这对于高级认知功能至关重要。在这里，我们开发了一种基于 fMRI 的二维框架，通过初级皮层在感觉处理组织中的锚定作用，来描述基于感觉的整合。感觉幅度捕捉由三个主要感觉信号解释的方差百分比，并随着层次上升而减小，与已知的层次结构具有很强的相似性，并且在不同条件下具有很高的稳定性。感觉角度将与三个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。这个维度确定了大脑状态之间的差异，并强调了感觉整合如何灵活地响应不同的认知需求而变化。此外，我们模型的元分析功能解码强调了认知功能和感觉整合之间的密切关系，表明其通过感觉信息处理研究人类认知的潜力。
