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Sun M, Gao X. Rapid color categorization revealed by frequency-tagging-based EEG. Vision Res 2024; 217:108365. [PMID: 38368707 DOI: 10.1016/j.visres.2024.108365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 09/08/2023] [Accepted: 01/25/2024] [Indexed: 02/20/2024]
Abstract
There has been much debate on whether color categories affect how we perceive color. Recent theories have put emphasis on the role of top-down influence on color perception that the original continuous color space in the visual cortex may be transformed into categorical encoding due to top-down modulation. To test the influence of color categories on color perception, we adopted an RSVP paradigm, where color stimuli were presented at a fast speed of 100 ms per stimulus and were forward and backward masked by the preceding and following stimuli. Moreover, no explicit color naming or categorization was required. In theory, backward masking with such a short interval in a passive viewing task should constrain top-down influence from higher-level brain areas. To measure any potentially subtle differences in brain response elicited by different color categories, we embedded a sensitive frequency-tagging-based EEG paradigm within the RSVP stimuli stream where the oddball color stimuli were encoded with a different frequency from the base color stimuli. We showed that EEG responses to cross-category oddball colors at the frequency where the oddball stimuli were presented was significantly larger than the responses to within-category oddball colors. Our study suggested that the visual cortex can automatically and implicitly encode color categories when color stimuli are presented rapidly.
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Affiliation(s)
- Mengdan Sun
- Department of Psychology, Soochow University, Suzhou, China
| | - Xiaoqing Gao
- Center for Psychological Sciences, Zhejiang University, Hangzhou, China.
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2
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Simmons C, Granovetter MC, Robert S, Liu TT, Patterson C, Behrmann M. Holistic processing and face expertise after pediatric resection of occipitotemporal cortex. Neuropsychologia 2024; 194:108789. [PMID: 38191121 PMCID: PMC10872222 DOI: 10.1016/j.neuropsychologia.2024.108789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 12/24/2023] [Accepted: 01/04/2024] [Indexed: 01/10/2024]
Abstract
The nature and extent of hemispheric lateralization and its potential for reorganization continues to be debated, although there is general agreement that there is a right hemisphere (RH) advantage for face processing in human adults. Here, we examined face processing and its lateralization in individuals with a single preserved occipitotemporal cortex (OTC), either in the RH or left hemisphere (LH), following early childhood resection for the management of drug-resistant epilepsy. The matched controls and those with a lesion outside of OTC evinced the standard superiority in processing upright over inverted faces and the reverse sensitivity to a nonface category (bicycles). In contrast, the LH and the RH patient groups were significantly less accurate than the controls and showed mild orientation sensitivities at best (and not always in the predicted directions). For the two patient groups, the accuracies of face and bicycle processing did not differ from each other and were not obviously related to performance on intermediate level global form tasks with, again, poorer thresholds for both patient groups than controls and no difference between the patient groups. These findings shed light on the complexity of hemispheric lateralization and face and nonface object processing in individuals following surgical resection of OTC. Overall, this study highlights the unique dynamics and potential for plasticity in those with childhood cortical resection.
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Affiliation(s)
- Claire Simmons
- School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Michael C Granovetter
- School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA; Department of Psychology and Neuroscience Institute, Carnegie Mellon University, Pittsburgh, USA
| | - Sophia Robert
- Department of Psychology and Neuroscience Institute, Carnegie Mellon University, Pittsburgh, USA
| | - Tina T Liu
- Department of Psychology and Neuroscience Institute, Carnegie Mellon University, Pittsburgh, USA; Department of Neurology and Center for Brain Plasticity and Recovery, Georgetown University Medical Center, Washington, DC 20057, USA
| | - Christina Patterson
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Marlene Behrmann
- Department of Psychology and Neuroscience Institute, Carnegie Mellon University, Pittsburgh, USA; Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15219, USA.
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3
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Yan X, Volfart A, Rossion B. A neural marker of the human face identity familiarity effect. Sci Rep 2023; 13:16294. [PMID: 37770466 PMCID: PMC10539293 DOI: 10.1038/s41598-023-40852-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 08/16/2023] [Indexed: 09/30/2023] Open
Abstract
Human adults associate different views of an identity much better for familiar than for unfamiliar faces. However, a robust and consistent neural index of this behavioral face identity familiarity effect (FIFE)-not found in non-human primate species-is lacking. Here we provide such a neural FIFE index, measured implicitly and with one fixation per face. Fourteen participants viewed 70 s stimulation sequences of a large set (n = 40) of widely variable natural images of a face identity at a rate of 6 images/second (6 Hz). Different face identities appeared every 5th image (1.2 Hz). In a sequence, face images were either familiar (i.e., famous) or unfamiliar, participants performing a non-periodic task unrelated to face recognition. The face identity recognition response identified at 1.2 Hz over occipital-temporal regions in the frequency-domain electroencephalogram was 3.4 times larger for familiar than unfamiliar faces. The neural response to familiar faces-which emerged at about 180 ms following face onset-was significant in each individual but a case of prosopdysgnosia. Besides potential clinical and forensic applications to implicitly measure one's knowledge of a face identity, these findings open new perspectives to clarify the neurofunctional source of the FIFE and understand the nature of human face identity recognition.
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Affiliation(s)
- Xiaoqian Yan
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China
- Université de Lorraine, CNRS, 54000, Nancy, France
- Psychological Sciences Research Institute, Université Catholique de Louvain, 1348, Louvain-la-Neuve, Belgium
| | - Angélique Volfart
- Université de Lorraine, CNRS, 54000, Nancy, France
- Psychological Sciences Research Institute, Université Catholique de Louvain, 1348, Louvain-la-Neuve, Belgium
- Faculty of Health, School of Psychology and Counselling, Queensland University of Technology, Brisbane, QLD, 4059, Australia
| | - Bruno Rossion
- Université de Lorraine, CNRS, 54000, Nancy, France.
- Psychological Sciences Research Institute, Université Catholique de Louvain, 1348, Louvain-la-Neuve, Belgium.
- Université de Lorraine, CHRU-Nancy, Service de Neurologie, 54000, Nancy, France.
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Goupil N, Hochmann JR, Papeo L. Intermodulation responses show integration of interacting bodies in a new whole. Cortex 2023; 165:129-140. [PMID: 37279640 DOI: 10.1016/j.cortex.2023.04.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 03/31/2023] [Accepted: 04/30/2023] [Indexed: 06/08/2023]
Abstract
People are often seen among other people, relating to and interacting with one another. Recent studies suggest that socially relevant spatial relations between bodies, such as the face-to-face positioning, or facingness, change the visual representation of those bodies, relative to when the same items appear unrelated (e.g., back-to-back) or in isolation. The current study addresses the hypothesis that face-to-face bodies give rise to a new whole, an integrated representation of individual bodies in a new perceptual unit. Using frequency-tagging EEG, we targeted, as a measure of integration, an EEG correlate of the non-linear combination of the neural responses to each of two individual bodies presented either face-to-face as if interacting, or back-to-back. During EEG recording, participants (N = 32) viewed two bodies, either face-to-face or back-to-back, flickering at two different frequencies (F1 and F2), yielding two distinctive responses in the EEG signal. Spectral analysis examined the responses at the intermodulation frequencies (nF1±mF2), signaling integration of individual responses. An anterior intermodulation response was observed for face-to-face bodies, but not for back-to-back bodies, nor for face-to-face chairs and machines. These results show that interacting bodies are integrated into a representation that is more than the sum of its parts. This effect, specific to body dyads, may mark an early step in the transformation towards an integrated representation of a social event, from the visual representation of individual participants in that event.
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Affiliation(s)
- Nicolas Goupil
- Institut des Sciences Cognitives-Marc Jeannerod, UMR5229, Centre National de La Recherche Scientifique (CNRS), Université Claude Bernard Lyon 1, Bron, France.
| | - Jean-Rémy Hochmann
- Institut des Sciences Cognitives-Marc Jeannerod, UMR5229, Centre National de La Recherche Scientifique (CNRS), Université Claude Bernard Lyon 1, Bron, France
| | - Liuba Papeo
- Institut des Sciences Cognitives-Marc Jeannerod, UMR5229, Centre National de La Recherche Scientifique (CNRS), Université Claude Bernard Lyon 1, Bron, France.
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Swe DC, Palermo R, Gwinn OS, Bell J, Nakanishi A, Collova J, Sutherland CAM. Trustworthiness perception is mandatory: Task instructions do not modulate fast periodic visual stimulation trustworthiness responses. J Vis 2022; 22:17. [PMID: 36315159 PMCID: PMC9631496 DOI: 10.1167/jov.22.11.17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Although it is often assumed that humans spontaneously respond to the trustworthiness of others’ faces, it is still unclear whether responses to facial trust are mandatory or can be modulated by instructions. Considerable scientific interest lies in understanding whether trust processing is mandatory, given the societal consequences of biased trusting behavior. We tested whether neural responses indexing trustworthiness discrimination depended on whether the task involved focusing on facial trustworthiness or not, using a fast periodic visual stimulation electroencephalography oddball paradigm with a neural marker of trustworthiness discrimination at 1 Hz. Participants judged faces on size without any reference to trust, explicitly formed impressions of facial trust, or were given a financial lending context that primed trust, without explicit trust judgement instructions. Significant trustworthiness discrimination responses at 1 Hz were found in all three conditions, demonstrating the robust nature of trustworthiness discrimination at the neural level. Moreover, no effect of task instruction was observed, with Bayesian analyses providing moderate to decisive evidence that task instruction did not affect trustworthiness discrimination. Our finding that visual trustworthiness discrimination is mandatory points to the remarkable spontaneity of trustworthiness processing, providing clues regarding why these often unreliable impressions are ubiquitous.
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Affiliation(s)
- Derek C Swe
- School of Psychological Science, The University of Western Australia, Perth, Australia.,
| | - Romina Palermo
- School of Psychological Science, The University of Western Australia, Perth, Australia.,
| | - O Scott Gwinn
- College of Education, Psychology, and Social Work, Flinders University, Adelaide, Australia.,
| | - Jason Bell
- School of Psychological Science, The University of Western Australia, Perth, Australia.,
| | - Anju Nakanishi
- School of Psychological Science, The University of Western Australia, Perth, Australia.,
| | - Jemma Collova
- School of Psychological Science, The University of Western Australia, Perth, Australia.,
| | - Clare A M Sutherland
- School of Psychological Science, The University of Western Australia, Perth, Australia.,School of Psychology, University of Aberdeen, King's College, Aberdeen, Scotland.,
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Retter TL, Jiang F, Webster MA, Michel C, Schiltz C, Rossion B. Varying Stimulus Duration Reveals Consistent Neural Activity and Behavior for Human Face Individuation. Neuroscience 2021; 472:138-156. [PMID: 34333061 DOI: 10.1016/j.neuroscience.2021.07.025] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 07/14/2021] [Accepted: 07/15/2021] [Indexed: 11/27/2022]
Abstract
Establishing consistent relationships between neural activity and behavior is a challenge in human cognitive neuroscience research. We addressed this issue using variable time constraints in an oddball frequency-sweep design for visual discrimination of complex images (face exemplars). Sixteen participants viewed sequences of ascending presentation durations, from 25 to 333 ms (40-3 Hz stimulation rate) while their electroencephalogram (EEG) was recorded. Throughout each sequence, the same unfamiliar face picture was repeated with variable size and luminance changes while different unfamiliar facial identities appeared every 1 s (1 Hz). A neural face individuation response, tagged at 1 Hz and its unique harmonics, emerged over the occipito-temporal cortex at 50 ms stimulus duration (25-100 ms across individuals), with an optimal response reached at 170 ms stimulus duration. In a subsequent experiment, identity changes appeared non-periodically within fixed-frequency sequences while the same participants performed an explicit face individuation task. The behavioral face individuation response also emerged at 50 ms presentation time, and behavioral accuracy correlated with individual participants' neural response amplitude in a weighted middle stimulus duration range (50-125 ms). Moreover, the latency of the neural response peaking between 180 and 200 ms correlated strongly with individuals' behavioral accuracy in this middle duration range, as measured independently. These observations point to the minimal (50 ms) and optimal (170 ms) stimulus durations for human face individuation and provide novel evidence that inter-individual differences in the magnitude and latency of early, high-level neural responses are predictive of behavioral differences in performance at this function.
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Affiliation(s)
- Talia L Retter
- Psychological Sciences Research Institute, Institute of Neuroscience, UCLouvain, Belgium; Department of Psychology, Center for Integrative Neuroscience, University of Nevada, Reno, USA; Department of Behavioural and Cognitive Sciences, Institute of Cognitive Science & Assessment, University of Luxembourg, Luxembourg.
| | - Fang Jiang
- Department of Psychology, Center for Integrative Neuroscience, University of Nevada, Reno, USA
| | - Michael A Webster
- Department of Psychology, Center for Integrative Neuroscience, University of Nevada, Reno, USA
| | - Caroline Michel
- Psychological Sciences Research Institute, Institute of Neuroscience, UCLouvain, Belgium
| | - Christine Schiltz
- Department of Behavioural and Cognitive Sciences, Institute of Cognitive Science & Assessment, University of Luxembourg, Luxembourg
| | - Bruno Rossion
- Psychological Sciences Research Institute, Institute of Neuroscience, UCLouvain, Belgium; Université de Lorraine, CNRS, CRAN, F-54000 Nancy, France; Université de Lorraine, CHRU-Nancy, Service de Neurologie, F-54000 Nancy, France
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Fisher K, Towler J, Rossion B, Eimer M. Neural responses in a fast periodic visual stimulation paradigm reveal domain-general visual discrimination deficits in developmental prosopagnosia. Cortex 2020; 133:76-102. [DOI: 10.1016/j.cortex.2020.09.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 08/01/2020] [Accepted: 09/01/2020] [Indexed: 02/02/2023]
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Bottari D, Bednaya E, Dormal G, Villwock A, Dzhelyova M, Grin K, Pietrini P, Ricciardi E, Rossion B, Röder B. EEG frequency-tagging demonstrates increased left hemispheric involvement and crossmodal plasticity for face processing in congenitally deaf signers. Neuroimage 2020; 223:117315. [DOI: 10.1016/j.neuroimage.2020.117315] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 08/06/2020] [Accepted: 08/25/2020] [Indexed: 12/14/2022] Open
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9
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Yan X, Rossion B. A robust neural familiar face recognition response in a dynamic (periodic) stream of unfamiliar faces. Cortex 2020; 132:281-295. [DOI: 10.1016/j.cortex.2020.08.016] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Revised: 07/22/2020] [Accepted: 08/10/2020] [Indexed: 01/23/2023]
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Jacques C, Rossion B, Volfart A, Brissart H, Colnat-Coulbois S, Maillard L, Jonas J. The neural basis of rapid unfamiliar face individuation with human intracerebral recordings. Neuroimage 2020; 221:117174. [DOI: 10.1016/j.neuroimage.2020.117174] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 05/19/2020] [Accepted: 07/14/2020] [Indexed: 12/24/2022] Open
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11
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Rossion B, Retter TL, Liu‐Shuang J. Understanding human individuation of unfamiliar faces with oddball fast periodic visual stimulation and electroencephalography. Eur J Neurosci 2020; 52:4283-4344. [DOI: 10.1111/ejn.14865] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 05/19/2020] [Accepted: 05/30/2020] [Indexed: 01/08/2023]
Affiliation(s)
- Bruno Rossion
- CNRS, CRAN UMR7039 Université de Lorraine F‐54000Nancy France
- Service de Neurologie, CHRU‐Nancy Université de Lorraine F‐54000Nancy France
| | - Talia L. Retter
- Department of Behavioural and Cognitive Sciences Faculty of Language and Literature Humanities, Arts and Education University of Luxembourg Luxembourg Luxembourg
| | - Joan Liu‐Shuang
- Institute of Research in Psychological Science Institute of Neuroscience Université de Louvain Louvain‐la‐Neuve Belgium
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12
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Jacques C, Jonas J, Maillard L, Colnat-Coulbois S, Rossion B, Koessler L. Fast periodic visual stimulation to highlight the relationship between human intracerebral recordings and scalp electroencephalography. Hum Brain Mapp 2020; 41:2373-2388. [PMID: 32237021 PMCID: PMC7268031 DOI: 10.1002/hbm.24952] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 01/23/2020] [Accepted: 02/03/2020] [Indexed: 12/13/2022] Open
Abstract
Despite being of primary importance for fundamental research and clinical studies, the relationship between local neural population activity and scalp electroencephalography (EEG) in humans remains largely unknown. Here we report simultaneous scalp and intracerebral EEG responses to face stimuli in a unique epileptic patient implanted with 27 intracerebral recording contacts in the right occipitotemporal cortex. The patient was shown images of faces appearing at a frequency of 6 Hz, which elicits neural responses at this exact frequency. Response quantification at this frequency allowed to objectively relate the neural activity measured inside and outside the brain. The patient exhibited typical 6 Hz responses on the scalp at the right occipitotemporal sites. Moreover, there was a clear spatial correspondence between these scalp responses and intracerebral signals in the right lateral inferior occipital gyrus, both in amplitude and in phase. Nevertheless, the signal measured on the scalp and inside the brain at nearby locations showed a 10-fold difference in amplitude due to electrical insulation from the head. To further quantify the relationship between the scalp and intracerebral recordings, we used an approach correlating time-varying signals at the stimulation frequency across scalp and intracerebral channels. This analysis revealed a focused and right-lateralized correspondence between the scalp and intracerebral recordings that were specific to the face stimulation is more broadly distributed in various control situations. These results demonstrate the interest of a frequency tagging approach in characterizing the electrical propagation from brain sources to scalp EEG sensors and in identifying the cortical sources of brain functions from these recordings.
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Affiliation(s)
- Corentin Jacques
- Psychological Sciences Research Institute and Institute of Neuroscience, Université Catholique de Louvain (UCLouvain), Louvain-la-Neuve, Belgium
- Center for Developmental Psychiatry, Department of Neurosciences, KULeuven, Belgium
| | - Jacques Jonas
- Université de Lorraine, CNRS, CRAN, F-54000, Nancy, France
- Université de Lorraine, CHRU-Nancy, Service de Neurologie, F-54000, Nancy, France
| | - Louis Maillard
- Université de Lorraine, CNRS, CRAN, F-54000, Nancy, France
- Université de Lorraine, CHRU-Nancy, Service de Neurologie, F-54000, Nancy, France
| | - Sophie Colnat-Coulbois
- Université de Lorraine, CNRS, CRAN, F-54000, Nancy, France
- Université de Lorraine, CHRU-Nancy, Service de Neurochirurgie, F-54000, Nancy, France
| | - Bruno Rossion
- Psychological Sciences Research Institute and Institute of Neuroscience, Université Catholique de Louvain (UCLouvain), Louvain-la-Neuve, Belgium
- Université de Lorraine, CNRS, CRAN, F-54000, Nancy, France
- Université de Lorraine, CHRU-Nancy, Service de Neurologie, F-54000, Nancy, France
| | - Laurent Koessler
- Université de Lorraine, CNRS, CRAN, F-54000, Nancy, France
- Université de Lorraine, CHRU-Nancy, Service de Neurologie, F-54000, Nancy, France
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