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首页> 外文期刊>NeuroImage >Cerebral regions and hemispheric specialization for processing spatial frequencies during natural scene recognition. An event-related fMRI study.
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Cerebral regions and hemispheric specialization for processing spatial frequencies during natural scene recognition. An event-related fMRI study.

机译:脑区域和半球专业化,用于在自然场景识别过程中处理空间频率。与事件相关的功能磁共振成像研究。

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摘要

It has been suggested that visual scene recognition is mainly based on spatial frequency (Fourier) analysis of the image. This analysis starts with processing low spatial frequencies (LSF), followed by processing high spatial frequencies (HSF). Within the framework of the spatial frequency analysis, the right/left hemisphere would be predominantly involved in LSF/HSF analysis, respectively. The aim of this event-related fMRI study was to evaluate neural correlates and hemispheric specialization of spatial frequency analysis during recognition of nonfiltered (NF) and filtered, either in LSF or HSF, natural scenes. Comparing LSF or NF to HSF scene recognition, significant activation was obtained within right anterior temporal cortex and right parahippocampal gyrus. As these regions are known to be involved in scene processing, we interpret this result as suggesting that scene recognition is mainly based on LSF extraction and analysis. When LSF scene was compared to HSF scene recognition, supplementary activation was obtained within the right inferior parietal lobule that likely reflects attentional modulation on spatial frequency processing. A direct interhemispheric comparison for each particular band of spatial frequencies highlighted predominance within the early visual areas (such as the middle occipital gyrus) to the right for LSF processing and to the left for HSF processing. This result provides supplementary evidence for hemispheric specialization at early levels of visual analysis when spatial frequencies are processed.
机译:已经提出视觉场景识别主要基于图像的空间频率(傅立叶)分析。此分析首先处理低空间频率(LSF),然后处理高空间频率(HSF)。在空间频率分析的框架内,左/右半球将分别主要参与LSF / HSF分析。这项与事件相关的fMRI研究的目的是评估在LSF或HSF自然场景中未过滤(NF)和已过滤的识别过程中的神经相关性和空间频率分析的半球专业化。比较LSF或NF与HSF场景识别,可以在右前颞皮层和右海马旁回获得显着激活。由于已知这些区域参与场景处理,因此我们将此结果解释为表明场景识别主要基于LSF提取和分析。当将LSF场景与HSF场景识别进行比较时,在右下顶小叶内获得了补充激活,这可能反映了对空间频率处理的注意调制。对空间频率的每个特定频带的直接半球间比较突出了早期视觉区域(例如枕中回)在LSF加工右侧和HSF加工左侧的优势。该结果为处理空间频率时视觉分析的早期半球专业化提供了补充证据。

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