Cortical activation while watching video montage: An fMRI study
Cortical activation while watching video montage: An fMRI study
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DOI：
10.1207/s1532785xmep0801_2
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发表时间：
2006-01-01
期刊：
影响因子：
4.2
通讯作者：
Hirsch, J
中科院分区：
文献类型：
--
作者：
Anderson, DR;Fite, KV;Hirsch, J
理解描述视觉动作的剪辑电影或视频需要复杂的感知和认知活动，以便在镜头序列中通过空间和时间欣赏动作流。我们假设这些复杂的事件与多个大脑区域的协调活动有关，而这些区域并没有被随机的射击序列激活。使用功能性磁共振成像（fMRI），一个分布式的皮质网络被识别出来，它在观看正常的视频动作序列时被唯一激活，而不是被随机视频镜头序列或高度混乱的视频图像序列激活。该皮层网络包括颅外区、颞下区、顶叶区、后扣带区和额叶区，主要分布在右半球。值得注意的是，尽管经典的左半球语言区没有被激活，但左半球语言区的右半球同源区却被激活了。在识别的网络中，除I外的所有解剖区域在随机射击序列中都存在附近激活。这个例外，仅被正常的、连贯的镜头序列激活，位于后扣带（Brodmann区31）。对剪辑过的视觉动作序列的理解是当代电影和视频格式的典型特征，这似乎是基于多个大脑区域的协调活动，这些区域在功能上以高级认知网络联系在一起。
Comprehending edited film or video that depicts Visual action requires complex perceptual and cognitive activities to appreciate the flow of action through space and time across sequences of shots. We hypothesized that these complex events are associated with the coordinated activities of multiple brain areas that are not activated by random sequences of shots. Using functional magnetic resonance imaging (fMRI), a distributed cortical network was identified that is uniquely activated during viewing of normal video action sequences, but not by sequences of random video shots or by highly scrambled video image sequences. This cortical network includes extrastriate, inferotemporal, parietal, posterior cingulate, and frontal areas and are predominantly in the right hemisphere. Notably, though there was no activation of classical, left hemisphere language areas, there was activation in the right hemisphere homologues of left hemisphere language areas. In all anatomical areas but I in the identified network, there was nearby activation during the random shot sequences. This exception, activated only by normal, coherent shot sequences, was in the posterior cingulate (Brodmann area 31). The comprehension of edited visual action sequences that are typical of contemporary film and video formats appears to be based upon the coordinated activities of multiple brain areas that are bound together functionally in a high-level cognitive network.