A generalized role of interhemispheric interaction under attentionally demanding conditions: evidence from the auditory and tactile modality.
A generalized role of interhemispheric interaction under attentionally demanding conditions: evidence from the auditory and tactile modality.
复制标题
在注意力要求较高的条件下半球间相互作用的普遍作用：来自听觉和触觉方式的证据。
DOI：
10.1016/s0028-3932(01)00152-x
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发表时间：
2002
期刊：
影响因子：
2.6
通讯作者：
Wang,JeremyM
中科院分区：
文献类型：
--
作者：
Passarotti,AlessandraM;Banich,MarieT;Sood,RajivK;Wang,JeremyM
本研究调查了在听觉和触觉模式中将关键信息划分到两个半球是否有助于计算复杂任务的表现，而不是计算简单任务的表现-以前在视觉模式中观察到的模式[Cortex 26（1990）77; Neuropsychology 12（1998）380; Neuropsychologia 30（1992）923]。我们进行了两个实验，一个在听觉和触觉的方式，这是类似于以前在视觉方式进行。与以前的研究结果一致，对于这两种模式，我们观察到，在计算上更简单的条件下（需要更少的步骤来做出决定），半球内处理的性能优势在计算上更复杂的条件下被削弱。在听觉实验中，我们还通过改变处理信息的时间来操纵计算复杂度。当复杂性通过时间操作增加时，半球内的性能优势也显著降低。这些研究结果表明，大脑可能会使用半球间的相互作用作为一种一般策略，以增加计算资源，独立的感觉方式和计算需求的方式增加。
The present study investigated whether dividing critical information across the hemispheres in the auditory and tactile modalities aids performance more for computationally complex rather than computationally simpler task—a pattern previously observed in the visual modality [Cortex 26 (1990) 77; Neuropsychology 12 (1998) 380; Neuropsychologia 30 (1992) 923]. We conducted two experiments, one in the auditory and one in the tactile modality, that were analogous to those previously performed in the visual modality. In agreement with previous findings, for both modalities we observed that the performance advantage exhibited for within-hemisphere processing in the computationally simpler condition (that required fewer steps to reach a decision) was diminished in the computationally more complex condition. In the auditory experiment we also manipulated computational complexity by varying the amount of time available for processing information. The within-hemisphere advantage in performance was also significantly reduced when complexity was increased through temporal manipulations. These findings suggest that the brain may use interhemispheric interaction as a general strategy to increase computational resources, independent of sensory modality and the manner in which computational demands are increased.