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fMRI evidence for objects as the units of attentional selection

Author

Listed:
  • Kathleen M. O'Craven

    (Massachusetts General Hospital NMR Center
    Bunting Institute at Radcliffe College
    MIT Department of Brain and Cognitive Sciences)

  • Paul E. Downing

    (Massachusetts General Hospital NMR Center
    MIT Department of Brain and Cognitive Sciences)

  • Nancy Kanwisher

    (Massachusetts General Hospital NMR Center
    MIT Department of Brain and Cognitive Sciences)

Abstract

Contrasting theories of visual attention emphasize selection by spatial location1, visual features (such as motion or colour)2,3,4 or whole objects5,6. Here we used functional magnetic resonance imaging (fMRI) to test key predictions of the object-based theory, which proposes that pre-attentive mechanisms segment the visual array into discrete objects, groups, or surfaces, which serve as targets for visual attention5,6,7,8,9. Subjects viewed stimuli consisting of a face transparently superimposed on a house, with one moving and the other stationary. In different conditions, subjects attended to the face, the house or the motion. The magnetic resonance signal from each subject's fusiform face area10, parahippocampal place area11 and area MT/MST12 provided a measure of the processing of faces, houses and visual motion, respectively. Although all three attributes occupied the same location, attending to one attribute of an object (such as the motion of a moving face) enhanced the neural representation not only of that attribute but also of the other attribute of the same object (for example, the face), compared with attributes of the other object (for example, the house). These results cannot be explained by models in which attention selects locations or features, and provide physiological evidence that whole objects are selected even when only one visual attribute is relevant.

Suggested Citation

  • Kathleen M. O'Craven & Paul E. Downing & Nancy Kanwisher, 1999. "fMRI evidence for objects as the units of attentional selection," Nature, Nature, vol. 401(6753), pages 584-587, October.
  • Handle: RePEc:nat:nature:v:401:y:1999:i:6753:d:10.1038_44134
    DOI: 10.1038/44134
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    Cited by:

    1. Jia-Hou Poh & Mai-Anh T. Vu & Jessica K. Stanek & Abigail Hsiung & Tobias Egner & R. Alison Adcock, 2022. "Hippocampal convergence during anticipatory midbrain activation promotes subsequent memory formation," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    2. Jill X O'Reilly & Saad Jbabdi & Matthew F S Rushworth & Timothy E J Behrens, 2013. "Brain Systems for Probabilistic and Dynamic Prediction: Computational Specificity and Integration," PLOS Biology, Public Library of Science, vol. 11(9), pages 1-14, September.
    3. Loyda Hernández-Andrade & Ana Cristina Hermosillo-Abundis & Brenda Lesly Betancourt-Navarrete & Diane Ruge & Carlos Trenado & Rafael Lemuz-López & Héctor Juan Pelayo-González & Vicente Arturo López-Co, 2022. "EEG Global Coherence in Scholar ADHD Children during Visual Object Processing," IJERPH, MDPI, vol. 19(10), pages 1-24, May.

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