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群体感受野大小在高级视觉功能障碍中的作用。

The Role of Population Receptive Field Sizes in Higher-Order Visual Dysfunction.

机构信息

fMRI Unit, Neurology Department Hadassah Medical Organization, Faculty of Medicine, The Hebrew University of Jerusalem, POB 12000, Jerusalem, 91120, Israel.

Edmond and Lily Safra Center for Brain Sciences (ELSC), The Hebrew University of Jerusalem, Jerusalem, Israel.

出版信息

Curr Neurol Neurosci Rep. 2024 Dec;24(12):611-620. doi: 10.1007/s11910-024-01375-6. Epub 2024 Sep 12.

Abstract

PURPOSE OF REVIEW

Population receptive field (pRF) modeling is an fMRI technique used to retinotopically map visual cortex, with pRF size characterizing the degree of spatial integration. In clinical populations, most pRF mapping research has focused on damage to visual system inputs. Herein, we highlight recent work using pRF modeling to study high-level visual dysfunctions.

RECENT FINDINGS

Larger pRF sizes, indicating coarser spatial processing, were observed in homonymous visual field deficits, aging, and autism spectrum disorder. Smaller pRF sizes, indicating finer processing, were observed in Alzheimer's disease and schizophrenia. In posterior cortical atrophy, a unique pattern was found in which pRF size changes depended on eccentricity. Changes to pRF properties were observed in clinical populations, even in high-order impairments, explaining visual behavior. These pRF changes likely stem from altered interactions between brain regions. Furthermore, some studies suggested that pRF sizes change as part of cortical reorganization, and they can point towards future prognosis.

摘要

目的综述

群体感受野 (pRF) 建模是一种 fMRI 技术,用于视网膜映射视觉皮层,pRF 大小表征空间整合的程度。在临床人群中,大多数 pRF 映射研究都集中在视觉系统输入的损伤上。在此,我们重点介绍使用 pRF 建模来研究高级视觉功能障碍的最新研究。

最新发现

同视场缺损、衰老和自闭症谱系障碍中观察到更大的 pRF 大小,表明空间处理较粗糙。阿尔茨海默病和精神分裂症中观察到更小的 pRF 大小,表明处理更精细。在后皮质萎缩中,发现了一种独特的模式,其中 pRF 大小的变化取决于偏心度。在临床人群中观察到 pRF 属性的变化,即使是在高级损伤中,也能解释视觉行为。这些 pRF 变化可能源于大脑区域之间相互作用的改变。此外,一些研究表明 pRF 大小的变化是皮质重组的一部分,它们可以指向未来的预后。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe0c/11538192/083dd75d0073/11910_2024_1375_Fig1_HTML.jpg

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