The categorization of natural scenes:: Brain attention networks revealed by dense sensor ERPs
The categorization of natural scenes:: Brain attention networks revealed by dense sensor ERPs
复制标题
DOI：
10.1016/j.neuroimage.2006.04.180
复制
发表时间：
2006-08-15
期刊：
影响因子：
5.7
通讯作者：
Schupp, Harald T.
中科院分区：
文献类型：
--
作者：
Codispoti, Maurizio;Ferrari, Vera;Schupp, Harald T.
本研究检查了基于自然场景中的目标特征进行分类的选择性注意的皮层指标。主要焦点是确定与非目标对照刺激相比与包含动物的目标刺激的处理相关的神经源。使用神经源估计技术 [电流源密度 (CSD) 和 L2 最小范数估计 (L2-MNE)] 来确定从 58 个传感器站点测量的势场的来源。为了确保出色的信噪比，分类任务包含 2400 次试验。重复之前的研究结果，目标和非目标 ERP 活动在刺激开始后 150 毫秒左右急剧分化，早期差异 ERP 活动表现为额中央传感器部位的正偏转和颞枕区的负偏转。两种源估计技术（CSD 和 L2-MNE）都表明了后部视觉关联脑区域早期差异 ERP 活动的主要来源，尽管不太明显，但揭示了其他前部源的贡献。这些发现表明，对类别相关特征的选择性注意反映了自然场景视觉处理过程中前额叶和下颞叶皮层之间的相互作用。 (c) 2006 Elsevier Inc. 保留所有权利。
The present study examined cortical indicators of selective attention underlying categorization based on target features in natural scenes. The primary focus was to determine the neural sources associated with the processing of target stimuli containing animals compared to nontarget control stimuli. Neural source estimation techniques [current source density (CSD) and L2-minimum norm estimate (L2-MNE)] were used to determine the sources of the potential fields measured from 58 sensor sites. Assuring an excellent signal-to-noise ratio, the categorization task consisted of 2400 trials. Replicating previous findings, target and non-target ERP activity diverged sharply around 150 ms after stimulus onset and the early differential ERP activity appeared as positive deflection over fronto-central sensor sites and as negative deflection over temporo-occipital regions. Both source estimation techniques (CSD and L2-MNE) suggested primary sources of the early differential ERP activity in posterior, visual-associative brain regions and, although less pronounced, revealed the contribution of additional anterior sources. These findings suggest that selective attention to category-relevant features reflects the interactions between prefrontal and inferior temporal cortex during visual processing of natural scenes. (c) 2006 Elsevier Inc. All rights reserved.