Disturbances of self-other distinction after stimulation of the extrastriate body area in the human brain.
ABSTRACT In a recent experiment with functional magnetic-resonance imaging, we found that brain activity in the extrastriate body area (EBA) distinguished between observed self- and other-generated movements, being significantly higher during observation of someone else's movement. Here, we investigated further the role of EBA in self-other distinctions using low-frequency repetitive transcranial magnetic stimulation (rTMS). As compared with rTMS applied over a control site, rTMS applied over the EBA increased reaction times, without affecting accuracy, for the detection of other-generated movements. Performance on a control motion-direction detection task was unaffected. These findings provide additional evidence for the role of the EBA in processing information necessary for identifying ourselves as agents of self-generated movements.
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ABSTRACT: We argued in our Discussion Paper for the view that the main functional role of occipitotemporal body-selective regions is to make explicit, via patterns of activity, the shape and posture of perceived bodies, rather than directly representing higher-order person attributes. Much of the commentary was on the question of how activity in other brain areas interacts with activity in EBA and FBA. In this reply, we emphasize that our claims do not imply that EBA and FBA are cognitively impenetrable modules that are driven only by bottom-up input from earlier visual regions. Instead, it is likely that these regions interact heavily with other brain regions, and that their activity is shaped--in limited ways--by both feed-forward and feedback connections. In the context of such large-scale networks, EBA and FBA activity will be most effective at conveying detailed information about the shape and posture of bodies in the current percept.Cognitive neuroscience 09/2011; 2(3-4):216-26. · 2.38 Impact Factor
Article: Faces and bodies in the brain.[Show abstract] [Hide abstract]
ABSTRACT: Abstract The discovery of face-sensitive and body-sensitive regions in the extrastriate human cortex has raised the problem of the relations of these areas to face and body knowledge and their role in person identification. In this commentary, I point to some as yet unexplored aspects of these cortical regions, including their status as proper anatomo-functional areas, the role of body appearance in the recognition of persons, and the development of body-related and face-related areas in sighted and congenitally blind individuals.Cognitive neuroscience 09/2011; 2(3-4):214-5. · 2.38 Impact Factor
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ABSTRACT: Neuroimaging has demonstrated that the illusory self-attribution of body parts engages frontal and intraparietal brain areas, and recent evidence further suggests an involvement of visual body-selective regions in the occipitotemporal cortex. However, little is known about the principles of information exchange within this network. Here, using automated congruent versus incongruent visuotactile stimulation of distinct anatomical locations on the participant's right arm and a realistic dummy counterpart in an fMRI scanner, we induced an illusory self-attribution of the dummy arm. The illusion consistently activated a left-hemispheric network comprising ventral premotor cortex (PMv), intraparietal sulcus (IPS), and body-selective regions of the lateral occipitotemporal cortex (LOC). Importantly, during the illusion, the functional coupling of the PMv and the IPS with the LOC increased substantially, and dynamic causal modeling revealed a significant enhancement of connections from the LOC and the secondary somatosensory cortex to the IPS. These results comply with the idea that the brain's inference mechanisms rely on the hierarchical propagation of prediction error. During illusory self-attribution, unpredicted ambiguous sensory input about one's body configuration may result in the generation of such prediction errors in visual and somatosensory areas, which may be conveyed to parietal integrative areas. Hum Brain Mapp, 2015. © 2015 Wiley Periodicals, Inc. © 2015 Wiley Periodicals, Inc.Human Brain Mapping 02/2015; · 6.92 Impact Factor