ERP indices of an orientation-dependent recognition of the human body schema

Orlandi, Andrea; Proverbio, Alice Mado

doi:10.1016/j.neuropsychologia.2020.107535

Cited by 11 publications

(13 citation statements)

References 108 publications

(151 reference statements)

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“…More importantly, the modulation of the SN was specifically visible over the left but not the right hemisphere, as shown by the topographic maps of voltage distribution depicted in Figure 7 (see also Figure 6). This evidence is consistent with previous ERP studies on shape [51] and color detection [30], as well as local (vs. global) stimulus information processing [32,41] and illusory contour perception [31]. For instance, in a previous study by our research group [51], the participants were presented with images representing upright and inverted bodies (wooden dummies) and structures of cubes.…”

Section: Discussionsupporting

confidence: 90%

“…The stimuli were composed of modular structures (cylindrical for the dummies, cubical for the cubes, and rectangular for the chair) which lacked detail (i.e., face, hair, hands/feet in the case of the wooden dummies) and were characterized by a light wood-like texture. This method was illustrated in a previous study by our research group [51]. Presently, 16 models were designed for each of the three stimulus categories (i.e., a mannequin with: both arms at side, left arm extended forwards) and then rotated around the vertical/longitudinal z-axis (0°, ±20°, ±40°).…”

Section: Methodsmentioning

confidence: 99%

“…For the purposes of the present manuscript, only the stimuli presented in the upright orientation were considered (50% of all trials). This avoided any possible confounding effect lead by the inversion of stimuli depicting bodies but not objects [51,54,55]. ERP averages were computed as a function of attention, electrodes, and hemisphere factors.…”

Section: Methodsmentioning

confidence: 99%

“…The participants were presented with the stimuli individually displayed at the center of the screen during EEG recordings. At the beginning of each run, they were told which target category required a motor response (button press with the index finger) when perceived between non-target stimuli [51]. Modulation of the amplitude of the N2 (decrease) and P300 (increase) components in response to correctly identified targets (relative to non-targets) was expected over frontal and centro-parietal sites, respectively [45,47].…”

Section: Introductionmentioning

confidence: 99%

“…Modulation of the amplitude of the N2 (decrease) and P300 (increase) components in response to correctly identified targets (relative to non-targets) was expected over frontal and centro-parietal sites, respectively [45,47]. Moreover, a left asymmetric distribution of the occipito-temporal selection negativity (N2 to target minus non-target) would suggest a predominant role of the left hemisphere in selective visual attention towards objects [30,51]. This hypothesis was also further investigated by applying the standardized weighted low-resolution electromagnetic tomography (swLORETA) inverse solution to estimate the neural sources in the SN time window.…”

Section: Introductionmentioning

confidence: 99%

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Left-Hemispheric Asymmetry for Object-Based Attention: an ERP Study

Orlandi

Proverbio

2019

Brain Sciences

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It has been shown that selective attention enhances the activity in visual regions associated with stimulus processing. The left hemisphere seems to have a prominent role when non-spatial attention is directed towards specific stimulus features (e.g., color, spatial frequency). The present electrophysiological study investigated the time course and neural correlates of object-based attention, under the assumption of left-hemispheric asymmetry. Twenty-nine right-handed participants were presented with 3D graphic images representing the shapes of different object categories (wooden dummies, chairs, structures of cubes) which lacked detail. They were instructed to press a button in response to a target stimulus indicated at the beginning of each run. The perception of non-target stimuli elicited a larger anterior N2 component, which was likely associated with motor inhibition. Conversely, target selection resulted in an enhanced selection negativity (SN) response lateralized over the left occipito-temporal regions, followed by a larger centro-parietal P300 response. These potentials were interpreted as indexing attentional selection and categorization processes, respectively. The standardized weighted low-resolution electromagnetic tomography (swLORETA) source reconstruction showed the engagement of a fronto-temporo-limbic network underlying object-based visual attention. Overall, the SN scalp distribution and relative neural generators hinted at a left-hemispheric advantage for non-spatial object-based visual attention.

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