Literature DB >> 17962220

A dynamic object-processing network: metric shape discrimination of dynamic objects by activation of occipitotemporal, parietal, and frontal cortices.

Johannes Schultz1, Lewis Chuang, Quoc C Vuong.   

Abstract

Shape perception is important for object recognition. However, behavioral studies have shown that rigid motion also contributes directly to the recognition process, in addition to providing visual cues to shape. Using psychophysics and functional brain imaging, we investigated the neural mechanisms involved in shape and motion processing for dynamic object recognition. Observers discriminated between pairs of rotating novel objects in which the 3-dimensional shape difference between the pair was systematically varied in metric steps. In addition, the objects rotated in either the same or the different direction to determine the effect of task-irrelevant motion on behavior and neural activity. We found that observers' shape discrimination performance increased systematically with shape differences, as did the hemodynamic responses of occipitotemporal, parietal, and frontal regions. Furthermore, responses in occipital regions were only correlated with observers' perceived shape differences. We also found different effects of object motion on shape discrimination across observers, which were reflected in responses of the superior temporal sulcus. These results suggest a network of regions that are involved in the discrimination of metric shape differences for dynamic object recognition.

Mesh:

Year:  2007        PMID: 17962220     DOI: 10.1093/cercor/bhm162

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  5 in total

1.  Flexible establishment of functional brain networks supports attentional modulation of unconscious cognition.

Authors:  Martin Ulrich; Sarah C Adams; Markus Kiefer
Journal:  Hum Brain Mapp       Date:  2014-06-23       Impact factor: 5.038

2.  The neural representation of objects formed through the spatiotemporal integration of visual transients.

Authors:  Gennady Erlikhman; Gennadiy Gurariy; Ryan E B Mruczek; Gideon P Caplovitz
Journal:  Neuroimage       Date:  2016-03-24       Impact factor: 6.556

3.  Investigating Neuroanatomical Features in Top Athletes at the Single Subject Level.

Authors:  Marco Taubert; Uwe Wenzel; Bogdan Draganski; Stefan J Kiebel; Patrick Ragert; Jürgen Krug; Arno Villringer
Journal:  PLoS One       Date:  2015-06-16       Impact factor: 3.240

4.  Automatic processing of unattended object features by functional connectivity.

Authors:  Katja M Mayer; Quoc C Vuong
Journal:  Front Hum Neurosci       Date:  2013-05-15       Impact factor: 3.169

5.  Behavioral Differences in the Upper and Lower Visual Hemifields in Shape and Motion Perception.

Authors:  Giuseppe A Zito; Dario Cazzoli; René M Müri; Urs P Mosimann; Tobias Nef
Journal:  Front Behav Neurosci       Date:  2016-06-17       Impact factor: 3.558

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.