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Functional MRI Mapping of Visual Function and Selective Attention for Performance Assessment and Presurgical Planning using Conjunctive Visual Search

机译:视觉功能和选择性注意的功能性MRI映射,用于使用联合视觉搜索进行性能评估和术前计划

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摘要

BackgroundAccurate mapping of visual function and selective attention using fMRI is important in the study of human performance as well as in presurgical treatment planning of lesions in or near visual centers of the brain. Conjunctive visual search (CVS) is a useful tool for mapping visual function during fMRI because of its greater activation extent compared with high-capacity parallel search processes. AimsThe purpose of this work was to develop and evaluate a CVS that was capable of generating consistent activation in the basic and higher level visual areas of the brain by using a high number of distractors as well as an optimized contrast condition. Materials and methodsImages from 10 healthy volunteers were analyzed and brain regions of greatest activation and deactivation were determined using a nonbiased decomposition of the results at the hemisphere, lobe, and gyrus levels. The results were quantified in terms of activation and deactivation extent and mean z-statistic. ResultsThe proposed CVS was found to generate robust activation of the occipital lobe, as well as regions in the middle frontal gyrus associated with coordinating eye movements and in regions of the insula associated with task-level control and focal attention. As expected, the task demonstrated deactivation patterns commonly implicated in the default-mode network. Further deactivation was noted in the posterior region of the cerebellum, most likely associated with the formation of optimal search strategy. ConclusionWe believe the task will be useful in studies of visual and selective attention in the neuroscience community as well as in mapping visual function in clinical fMRI.
机译:背景技术使用功能磁共振成像技术准确绘制视觉功能和选择性注意力,对研究人类表现以及脑部视觉中心或附近的病变的术前治疗计划非常重要。联合视觉搜索(CVS)是在fMRI期间映射视觉功能的有用工具,因为与大容量并行搜索过程相比,它的激活程度更大。目的这项工作的目的是开发和评估一种CVS,该CVS通过使用大量的干扰物和优化的对比条件,能够在大脑的基本和更高级别的视觉区域中产生一致的激活。材料和方法分析了来自10名健康志愿者的图像,并使用半球,肺叶和回旋水平的结果的无偏分解确定了激活和失活最大的大脑区域。根据激活和失活程度以及平均z统计量对结果进行量化。结果发现拟议的CVS能够强烈激活枕叶以及中额回中与协调眼球运动相关的区域以及与任务水平控制和注意力相关的岛状区域的激活。如预期的那样,该任务演示了默认模式网络中通常涉及的停用模式。在小脑后部发现进一步的失活,最有可能与最佳搜索策略的形成有关。结论我们相信该任务将对神经科学界的视觉和选择性注意的研究以及在临床功能磁共振成像中绘制视觉功能图很有用。

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