Suppr超能文献

图谱序列可能会影响对群体感受野的估计。

Mapping sequences can bias population receptive field estimates.

机构信息

UCL Experimental Psychology, 26 Bedford Way, London, WC1H 0AP, UK.

UCL Experimental Psychology, 26 Bedford Way, London, WC1H 0AP, UK; School of Optometry & Vision Science, University of Auckland, 85 Park Road, New Zealand.

出版信息

Neuroimage. 2020 May 1;211:116636. doi: 10.1016/j.neuroimage.2020.116636. Epub 2020 Feb 15.

Abstract

Population receptive field (pRF) modelling is a common technique for estimating the stimulus-selectivity of populations of neurons using neuroimaging. Here, we aimed to address if pRF properties estimated with this method depend on the spatio-temporal structure and the predictability of the mapping stimulus. We mapped the polar angle preference and tuning width of voxels in visual cortex (V1-V4) of healthy, adult volunteers. We compared sequences sweeping orderly through the visual field or jumping from location to location employing stimuli of different width (45° vs 6°) and cycles of variable duration (8s vs 60s). While we did not observe any systematic influence of stimulus predictability, the temporal structure of the sequences significantly affected tuning width estimates. Ordered designs with large wedges and short cycles produced systematically smaller estimates than random sequences. Interestingly, when we used small wedges and long cycles, we obtained larger tuning width estimates for ordered than random sequences. We suggest that ordered and random mapping protocols show different susceptibility to other design choices such as stimulus type and duration of the mapping cycle and can produce significantly different pRF results.

摘要

人群感受野(pRF)模型是一种常用的技术,用于使用神经影像学来估计神经元群体的刺激选择性。在这里,我们旨在解决使用这种方法估计的 pRF 属性是否取决于映射刺激的时空结构和可预测性。我们绘制了健康成年志愿者的视觉皮层(V1-V4)中体素的极角偏好和调谐宽度。我们比较了顺序扫过视野或从一个位置跳跃到另一个位置的序列,使用不同宽度(45°与 6°)和不同持续时间(8s 与 60s)的循环的刺激。虽然我们没有观察到刺激可预测性的任何系统影响,但序列的时间结构显著影响了调谐宽度的估计。具有大楔形和短周期的有序设计比随机序列产生的估计值小。有趣的是,当我们使用小楔形和长周期时,我们为有序序列获得的调谐宽度估计值大于随机序列。我们认为,有序和随机映射方案对其他设计选择(如刺激类型和映射周期的持续时间)的敏感性不同,并且可以产生明显不同的 pRF 结果。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验