自然电影和编码,分析狨猴第三层视觉皮层中的区域边界定义。

IF 6.7 2区 医学 Q1 NEUROSCIENCES Progress in Neurobiology Pub Date : 2024-08-03 DOI:10.1016/j.pneurobio.2024.102657
Daisuke Shimaoka , Yan Tat Wong , Marcello G.P. Rosa , Nicholas Seow Chiang Price
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引用次数: 0

摘要

准确定义大脑皮层视觉区域的边界,对于研究神经元的感知过程至关重要。然而,用于定义区域边界的数据存在分辨率、统一覆盖范围或是否适合客观分析等问题,从而导致模糊不清。在这里,我们提出了一种结合宽视场光学成像、自然电影展示和编码模型分析的新方法,以客观地定义灵长类离体皮层的边界。我们用这种方法检验了关于第三级视觉皮层的相互冲突的假说,该皮层的区域边界一直存在争议。我们证明了第三级区域明显的调谐偏好,以及背内侧区域(DM)包含上下对侧象限表征的组织结构,该区域位于 V2 的紧前方。使用Neuropixels探针进行的高密度电生理记录证实了这些发现。我们的编码模型方法提供了一种强大而客观的方法来区分区域边界....。
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Naturalistic movies and encoding analysis define areal borders in marmoset third-tier visual cortex

Accurate definition of the borders of cortical visual areas is essential for the study of neuronal processes leading to perception. However, data used for definition of areal boundaries have suffered from issues related to resolution, uniform coverage, or suitability for objective analysis, leading to ambiguity. Here, we present a novel approach that combines widefield optical imaging, presentation of naturalistic movies, and encoding model analysis, to objectively define borders in the primate extrastriate cortex. We applied this method to test conflicting hypotheses about the third-tier visual cortex, where areal boundaries have remained controversial. We demonstrate pronounced tuning preferences in the third-tier areas, and an organizational structure in which the dorsomedial area (DM) contains representations of both the upper and lower contralateral quadrants, and is located immediate anterior to V2. High-density electrophysiological recordings with a Neuropixels probe confirm these findings. Our encoding-model approach offers a powerful, objective way to disambiguate areal boundaries.

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来源期刊
Progress in Neurobiology
Progress in Neurobiology 医学-神经科学
CiteScore
12.80
自引率
1.50%
发文量
107
审稿时长
33 days
期刊介绍: Progress in Neurobiology is an international journal that publishes groundbreaking original research, comprehensive review articles and opinion pieces written by leading researchers. The journal welcomes contributions from the broad field of neuroscience that apply neurophysiological, biochemical, pharmacological, molecular biological, anatomical, computational and behavioral analyses to problems of molecular, cellular, developmental, systems, and clinical neuroscience.
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