Decoding seen and attended motion directions from activity in the human visual cortex

Decoding seen and attended motion directions from activity in the human visual cortex
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DOI:
10.1016/j.cub.2006.04.003
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发表时间:
2006-06-06
期刊:
影响因子:
9.2
通讯作者:
Tong, Frank
Tong, Frank
中科院分区:
生物学1区
文献类型:
--
作者:
Kamitani, Yukiyasu;Tong, Frank

文献摘要

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功能性神经成像已经成功地识别出对视觉运动表现出更大反应的大脑区域[1-3]和对重复运动方向的适应性反应[4-6]。然而,这种方法被认为缺乏灵敏度和空间分辨率来隔离对个体运动刺激的方向选择性响应。在这里,我们使用功能性磁共振成像(fMRI)和模式分类方法[7-10]来证明人类视觉皮层中的整体活动模式包含强大的方向选择信息,从中可以解码看到和关注的运动方向。在V1-V4和MT+N5区域的包围活动使我们能够解码受试者在单个刺激块上观看的八个可能的运动方向中的哪一个。此外,由单一运动方向引起的整体活动可以有效地预测两个重叠的运动方向中的哪一个是受试者注意的焦点,并且可能在感知中占主导地位。我们的研究结果表明,基于特征的注意可以偏向多个视觉区域的方向选择群体活动,包括MT+N5和早期视觉区域(V1-V4),与基于特征的注意的增益调制模型和早期注意选择理论一致。我们的方法来测量合奏方向选择性可能提供新的机会,研究注意力选择,有意识的知觉,方向选择性反应在人脑之间的关系。
Functional neuroimaging has successfully identified brain areas that show greater responses to visual motion [1-3] and adapted responses to repeated motion directions [4-6]. However, such methods have been thought to lack the sensitivity and spatial resolution to isolate direction-selective responses to individual motion stimuli. Here, we used functional magnetic resonance imaging (fMRI) and pattern classification methods [7-10] to show that ensemble activity patterns in human visual cortex contain robust direction-selective information, from which it is possible to decode seen and attended motion directions. Ensemble activity in areas V1-V4 and MT+N5 allowed us to decode which of eight possible motion directions the subject was viewing on individual stimulus blocks. Moreover, ensemble activity evoked by single motion directions could effectively predict which of two overlapping motion directions was the focus of the subject's attention and presumably dominant in perception. Our results indicate that feature-based attention can bias direction-selective population activity in multiple visual areas, including MT+N5 and early visual areas (V1-V4), consistent with gain-modulation models of feature-based attention and theories of early attentional selection. Our approach for measuring ensemble direction selectivity may provide new opportunities to investigate relationships between attentional selection, conscious perception, and direction-selective responses in the human brain.