Looking for a face in the crowd: Fixation-related potentials in an eye-movement visual search task

被引:80
|
作者
Kaunitz, Lisandro N. [1 ]
Kamienkowski, Juan E. [2 ,3 ,4 ]
Varatharajah, Alexander [1 ,5 ]
Sigman, Mariano [2 ,3 ]
Quiroga, Rodrigo Quian [1 ,5 ]
Ison, Matias J. [1 ,5 ]
机构
[1] Univ Leicester, Dept Engn, Leicester LE1 7RH, Leics, England
[2] FCEyN UBA, Dept Fis, Lab Neuroci Integrativa, Buenos Aires, DF, Argentina
[3] IFIBA, Conicet, Pabellon 1, Buenos Aires, DF, Argentina
[4] Univ Diego Port, Santiago, Chile
[5] Univ Leicester, Ctr Syst Neurosci, Leicester LE1 7QR, Leics, England
基金
英国工程与自然科学研究理事会;
关键词
Visual search; EEG; Faces; Natural scenes; Oddball; SINGLE-TRIAL; SACCADE GENERATION; BRAIN POTENTIALS; LAMBDA WAVES; EEG; MODEL; BLINK; P300; TOPOGRAPHY; COMPONENTS;
D O I
10.1016/j.neuroimage.2013.12.006
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Despite the compelling contribution of the study of event related potentials (ERPs) and eye movements to cognitive neuroscience, these two approaches have largely evolved independently. We designed an eye-movement visual search paradigm that allowed us to concurrently record EEG and eye movements while subjects were asked to find a hidden target face in a crowded scene with distractor faces. Fixation event-related potentials (fERPs) to target and distractor stimuli showed the emergence of robust sensory components associated with the perception of stimuli and cognitive components associated with the detection of target faces. We compared those components with the ones obtained in a control task at fixation: qualitative similarities as well as differences in terms of scalp topography and latency emerged between the two. By using single trial analyses, fixations to target and distractors could be decoded from the EEG signals above chance level in 11 out of 12 subjects. Our results show that EEG signatures related to cognitive behavior develop across spatially unconstrained exploration of natural scenes and provide a first step towards understanding the mechanisms of target detection during natural search. (c) 2013 The Authors. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:297 / 305
页数:9
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