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45天-6°头低位卧床对视觉搜索能力的影响

Effects of 45 d-6° Head-down Bed Rest on Visual Search Ability
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摘要 目的监测健康成年男性在45 d-6°头低位卧床实验过程中视觉注意搜索能力是否会受到影响。方法 16名男性健康成年受试者进行45 d-6°头低位卧床以模拟失重状态。在卧床前12天、卧床期间(第10,20,30,40天)以及卧床之后第13天进行视觉注意搜索实验。实验一是考察pop-out的被动注意的并行搜索实验,实验二则是考察需要主动注意的串行搜索实验。结果实验一发现受试者的反应时和正确率在几次测试中没有发生显著变化;而实验二受试者的行为表现在测试中逐渐提高,说明发生了知觉学习,其学习过程先快后慢而且逐渐趋于稳定。结论 45 d-6°头低位卧床模拟失重条件下,人的基本视觉搜索能力并没有随着卧床时间的延长而显著变差,视知觉学习能力也仍然存在。 Objective To investigate if the vision search ability of healthy male adults will be influenced by 45 d -6° head-down bed rest(HDBR). Methods Sixteen healthy male subjects were under 45 d period of -6° HDBR simulated weightlessness state. The vision search ability of participants in -6° HDBR were measured on the 12nd d before, the 13rd d after and on the lOth,20th, 30th, 40th day during the period of HDBR re- spectively. Experiment 1 used the "pop-out" parallel search stimuli, which was aimed to test the passive at- tention. Experiment 2 was more complicated, in which the serial search stimuli were used to measure the ac- tive attention. Results In experiment 1, the mean accuracy ( ACC ) and reaction time (RT) of participants didn' t change significantly during the entire test. While in experiment 2, the performance of those participants improved gradually. It was suggested that they had earned the perceptual learning. At first, the learning process was fast, and then slowed down, showing an obvious tendency to get steady. Conclusion The basic a- bility of visual search is not significantly changed and the visual perceptual learning still exists during 45 d - 6° HDBR simulated weightlessness process.
出处 《航天医学与医学工程》 CAS CSCD 北大核心 2012年第6期403-406,共4页 Space Medicine & Medical Engineering
基金 国家基础研究973计划项目(2011CB711000)
关键词 注意搜索能力 头低位卧床实验 被动注意 主动注意 知觉学习 vision search ability head-down bed rest passive attention active attention perceptual learning
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参考文献10

  • 1Shehab RL, Schlegel RE, Schiflett SG, et al. The NASA performance assessment workstation: Cognitive performance during head-down bed rest [ J ]. Acta Astronaut, 1998,43 (3- 6) :223-233.
  • 2Itti L, Koch C, Niebur E. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis [ J ]. IEEE Trans on Pat- tern Analysis and Machine Intelligence, 1998,20 (11 ):1254 - 1259.
  • 3Wolfe JM, Horowitz TS. What Attributes Guide the Deploy- ment of Visual Attention and How Do They Do It? [J]. Na- ture Reviews Neuroscience, 2004,5 ( 6 ) :495 - 501.
  • 4Kiss M,Van Velzen J, Eimer M. The N2pc component and its links to attention shifts and spatially selective visual pro- cessing [ J ]. Psychophysiology, 2008, 45 ( 2 ) : 240-249.
  • 5张玉,杨长斌,孙喜庆.人工重力的生物医学问题、发展及应用前景[J].航天医学与医学工程,2011,24(6):423-428. 被引量:6
  • 6赵军,胡莲娜,李志生,梁会泽,闫洪欣,仇长宇.头低位模拟失重对正常人视觉诱发电位的影响[J].眼科新进展,2009,29(10):756-758. 被引量:5
  • 7Joseph JS, Chun MM, Nakayama K. Attentional Require- ments in a Preattentive' s Feature Search Task [ J ]. Nature, 1997, 387 : 805-807.
  • 8刘琼,秦世引.视觉选择性注意模型化计算中的特征整合权值估计与图像显著性区域提取[J].模式识别与人工智能,2011,24(4):548-554. 被引量:3
  • 9McGovem DP, Webb BS, Peirce JW. Transfer of perceptual learning between different visual tasks. Journal of vision, 2012, 12(11):4, 1-11.
  • 10宋艳,曲折,管益杰,高定国,丁玉珑.视知觉学习的认知与神经机制研究[J].心理科学进展,2006,14(3):334-339. 被引量:19

二级参考文献92

  • 1赵仑,魏金河.模拟失重对快慢反应被试视觉选择注意ERPs的不同影响[J].航天医学与医学工程,2005,18(6):422-426. 被引量:9
  • 2Linder B J, Trick GL. Stimulation of spaceflight with whole-body head-down tilt:influence on intraocular pressure and retinocortical processing [ J ]. Aviat Space Environ Med 1987 ; 58 (9) : 139- 142.
  • 3Kergoat H, Durand MJ. Correlating increased ocular and systemic blood pressure with neuroretinal function [ J ]. Aviat Space Environ Med 1995 ;57 ( 12 ) : 1174-1178.
  • 4Itti L, Koch C, Niebur E. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis. IEEE Trans on Pattern Analysis and Machine Intelligence, 1998, 20( 11 ) : 1254 - 1259.
  • 5Wolfe J M, Horowitz T S. What Attributes Guide the Deployment of Visual Attention and How Do They Do It?. Nature Reviews Neuroscience, 2004, 5(6) : 495 -501.
  • 6Reinagel P, Zador A M. Natural Scene Statistics at the Centre of Gaze. Network: Computation in Neural Systems, 1999, 10 (4): 341 - 350.
  • 7Parkhurst D J, Niebur E. Scene Content Selected by Active Vision. Spatial Vision, 2003, 16(2) : 125 -154.
  • 8Jost T, Ouerhani N, Wartburg R, et al. Assessing the Contribution of Color in Visual Attention. Computer Vision and Image Understanding, 2005, 100(1/2) : 107 - 123.
  • 9Navalpakkam V, Itti L. Search Goal Tunes Visual Features Optimally. Neuron, 2007, 53(4) : 605 -617.
  • 10hti L, Koch C. A Comparison of Feature Combination Strategies for Saliency-Based Visual Attention Systems. Journal of Electronic Imaging, 2001, 10(1) : 161 -169.

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