Hemispheric specialization of human inferior temporal cortex during coarse-to-fine and fine-to-coarse analysis of natural visual scenes

被引:47
|
作者
Peyrin, C
Schwartz, S
Seghier, M
Michel, C
Landis, T
Vuilleumier, P
机构
[1] Univ Geneva, Med Ctr, Neurol Clin, Lab Neurol & Imaging Cognit, CH-1211 Geneva, Switzerland
[2] Univ Geneva, Med Ctr, Dept Neurosci, CH-1211 Geneva, Switzerland
[3] Univ Geneva, Univ Hosp, Neurol Clin, Funct Brain Mapping Lab, CH-1211 Geneva, Switzerland
[4] Univ Pierre Mendes France, CNRS, UMR 5105, Lab Psychol & NeuroCognit, F-38040 Grenoble, France
[5] Univ Hosp Geneva, Dept Radiol, Geneva, Switzerland
[6] Univ Hosp Geneva, Neurol Clin, Geneva, Switzerland
关键词
visual recognition; natural scene; spatial frequency; cerebral asymmetry; occipito-temporal cortex; event-related IMRI; coarse-to-fine; fine-to-coarse;
D O I
10.1016/j.neuroimage.2005.06.006
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Recent models of visual recognition have suggested that perceptual analysis may start with a parallel extraction of different spatial frequencies (SF), using a preferential coarse-to-fine (low-to-high SF) sequence of processing. A rapid extraction of low spatial frequency (LSF) information may thus provide an initial and crude parsing of the visual scene, subsequently refined by slow but more detailed high spatial frequency (HSF) information. However, the sequence of SF analysis could be flexible, a high-to-low (HtL) being sometimes preferred to a low-to-high (LtH) SF sequence depending on task demands. Furthermore, it has also been suggested that the right vs. left hemisphere might be differentially specialized in LSF vs. HSF analysis, respectively. By manipulating the temporal succession of LSF and HSF stimuli, the present fMRI study investigated whether such hemispheric specialization may underlie the flexible use of different time-course in SF analysis. Participants performed a matching task between two successive images of natural scenes (LSF or HSF) that were displayed either in an LtH (LSF scene presented first and HSF scene second) or in a reverse HtL sequence. A direct inter-hemispheric comparison of the neural responses evoked by each SF sequence revealed greater activations within the right occipitotemporal cortex for the LtH sequence and within the left occipitotemporal cortex for the HtL sequence. These fMRI results suggest that the hemisphere preferentially engaged during the sequential processing of different SF might be determined by the initial SF-band appearing in this sequence, and that both a coarse-to-fine and fine-to-coarse analysis might independently take place in the two hemispheres. (c) 2005 Elsevier Inc. All rights reserved.
引用
收藏
页码:464 / 473
页数:10
相关论文
共 50 条
  • [41] Is correspondence search in human stereo vision a coarse-to-fine process?
    Mallot, HA
    Gillner, S
    Arndt, PA
    [J]. BIOLOGICAL CYBERNETICS, 1996, 74 (02) : 95 - 106
  • [42] Coarse-to-Fine 3D Human Pose Estimation
    Guo, Yu
    Zhao, Lin
    Zhang, Shanshan
    Yang, Jian
    [J]. IMAGE AND GRAPHICS, ICIG 2019, PT III, 2019, 11903 : 579 - 592
  • [43] A Coarse-to-Fine Registration Method for Satellite Infrared Image and Visual Image
    Hu Yong-li
    Wang Liang
    Liu Rong
    Zhang Li
    Duan Fu-qing
    [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33 (11) : 2968 - 2972
  • [44] A coarse-to-fine image registration method based on visual attention model
    FENG Jing
    MA Long
    BI FuKun
    ZHANG XueJing
    CHEN He
    [J]. Science China(Information Sciences), 2014, 57 (12) : 122 - 131
  • [45] HUMAN-AWARE COARSE-TO-FINE ONLINE ACTION DETECTION
    Yang, Zichen
    Huang, Di
    Qin, Jie
    Wang, Yunhong
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), 2021, : 2455 - 2459
  • [46] A coarse-to-fine image registration method based on visual attention model
    Feng Jing
    Ma Long
    Bi FuKun
    Zhang XueJing
    Chen He
    [J]. SCIENCE CHINA-INFORMATION SCIENCES, 2014, 57 (12) : 1 - 10
  • [47] Salient Superpixel Visual Tracking with Coarse-to-Fine Segmentation and Manifold Ranking
    Zhan, Jin
    Zhao, Huimin
    [J]. ADVANCES IN BRAIN INSPIRED COGNITIVE SYSTEMS, BICS 2018, 2018, 10989 : 430 - 440
  • [48] Coarse-to-fine Approach for Fast Correlation-based Visual Tracking
    Kurnianggoro, Laksono
    Seo, Dongwook
    Joko, Hariyono
    Shahbaz, Ajmal
    Jo, Kang-Hyun
    [J]. PROCEEDINGS OF THE IECON 2016 - 42ND ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2016, : 861 - 864
  • [49] Multiple Granularity Modeling: A Coarse-to-Fine Framework for Fine-grained Action Analysis
    Ni, Bingbing
    Paramathayalan, Vignesh R.
    Li, Teng
    Moulin, Pierre
    [J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 2016, 120 (01) : 28 - 43
  • [50] Multiple Granularity Modeling: A Coarse-to-Fine Framework for Fine-grained Action Analysis
    Bingbing Ni
    Vignesh R. Paramathayalan
    Teng Li
    Pierre Moulin
    [J]. International Journal of Computer Vision, 2016, 120 : 28 - 43