1
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Daniel-Hertz E, Yao JK, Gregorek S, Hoyos PM, Gomez J. An Eccentricity Gradient Reversal across High-Level Visual Cortex. J Neurosci 2025; 45:e0809242024. [PMID: 39516043 PMCID: PMC11713851 DOI: 10.1523/jneurosci.0809-24.2024] [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: 04/24/2024] [Revised: 10/15/2024] [Accepted: 10/21/2024] [Indexed: 11/16/2024] Open
Abstract
Human visual cortex contains regions selectively involved in perceiving and recognizing ecologically important visual stimuli such as people and places. Located in the ventral temporal lobe, these regions are organized consistently relative to cortical folding, a phenomenon thought to be inherited from how centrally or peripherally these stimuli are viewed with the retina. While this eccentricity theory of visual cortex has been one of the best descriptions of its functional organization, whether or not it accurately describes visual processing in all category-selective regions is not yet clear. Through a combination of behavioral and functional MRI measurements in 27 participants (17 females), we demonstrate that a limb-selective region neighboring well-studied face-selective regions shows tuning for the visual periphery in a cortical region originally thought to be centrally biased. We demonstrate that the spatial computations performed by the limb-selective region are consistent with visual experience and in doing so, make the novel observation that there may in fact be two eccentricity gradients, forming an eccentricity reversal across high-level visual cortex. These data expand the current theory of cortical organization to provide a unifying principle that explains the broad functional features of many visual regions, showing that viewing experience interacts with innate wiring principles to drive the location of cortical specialization.
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Affiliation(s)
- Edan Daniel-Hertz
- Princeton University, Princeton Neuroscience Institute, Princeton, New Jersey 08544
| | - Jewelia K Yao
- Princeton University, Princeton Neuroscience Institute, Princeton, New Jersey 08544
| | - Sidney Gregorek
- Princeton University, Princeton Neuroscience Institute, Princeton, New Jersey 08544
| | - Patricia M Hoyos
- Princeton University, Princeton Neuroscience Institute, Princeton, New Jersey 08544
| | - Jesse Gomez
- Princeton University, Princeton Neuroscience Institute, Princeton, New Jersey 08544
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2
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Küçük E, Foxwell M, Kaiser D, Pitcher D. Moving and Static Faces, Bodies, Objects, and Scenes Are Differentially Represented across the Three Visual Pathways. J Cogn Neurosci 2024; 36:2639-2651. [PMID: 38527070 PMCID: PMC11602004 DOI: 10.1162/jocn_a_02139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
Models of human cortex propose the existence of neuroanatomical pathways specialized for different behavioral functions. These pathways include a ventral pathway for object recognition, a dorsal pathway for performing visually guided physical actions, and a recently proposed third pathway for social perception. In the current study, we tested the hypothesis that different categories of moving stimuli are differentially processed across the dorsal and third pathways according to their behavioral implications. Human participants (n = 30) were scanned with fMRI while viewing moving and static stimuli from four categories (faces, bodies, scenes, and objects). A whole-brain group analysis showed that moving bodies and moving objects increased neural responses in the bilateral posterior parietal cortex, parts of the dorsal pathway. By contrast, moving faces and moving bodies increased neural responses, the superior temporal sulcus, part of the third pathway. This pattern of results was also supported by a separate ROI analysis showing that moving stimuli produced more robust neural responses for all visual object categories, particularly in lateral and dorsal brain areas. Our results suggest that dynamic naturalistic stimuli from different categories are routed in specific visual pathways that process dissociable behavioral functions.
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Affiliation(s)
| | | | - Daniel Kaiser
- University of York
- Justus-Liebig-Universität Gießen
- Philipps-Universität Marburg and Justus-Liebig-Universität Gießen
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3
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Cocuzza CV, Sanchez-Romero R, Ito T, Mill RD, Keane BP, Cole MW. Distributed network flows generate localized category selectivity in human visual cortex. PLoS Comput Biol 2024; 20:e1012507. [PMID: 39436929 PMCID: PMC11530028 DOI: 10.1371/journal.pcbi.1012507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 11/01/2024] [Accepted: 09/24/2024] [Indexed: 10/25/2024] Open
Abstract
A central goal of neuroscience is to understand how function-relevant brain activations are generated. Here we test the hypothesis that function-relevant brain activations are generated primarily by distributed network flows. We focused on visual processing in human cortex, given the long-standing literature supporting the functional relevance of brain activations in visual cortex regions exhibiting visual category selectivity. We began by using fMRI data from N = 352 human participants to identify category-specific responses in visual cortex for images of faces, places, body parts, and tools. We then systematically tested the hypothesis that distributed network flows can generate these localized visual category selective responses. This was accomplished using a recently developed approach for simulating - in a highly empirically constrained manner - the generation of task-evoked brain activations by modeling activity flowing over intrinsic brain connections. We next tested refinements to our hypothesis, focusing on how stimulus-driven network interactions initialized in V1 generate downstream visual category selectivity. We found evidence that network flows directly from V1 were sufficient for generating visual category selectivity, but that additional, globally distributed (whole-cortex) network flows increased category selectivity further. Using null network architectures we also found that each region's unique intrinsic "connectivity fingerprint" was key to the generation of category selectivity. These results generalized across regions associated with all four visual categories tested (bodies, faces, places, and tools), and provide evidence that the human brain's intrinsic network organization plays a prominent role in the generation of functionally relevant, localized responses.
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Affiliation(s)
- Carrisa V. Cocuzza
- Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, New Jersey, United States of America
- Behavioral and Neural Sciences PhD Program, Rutgers University, Newark, New Jersey, United States of America
- Department of Psychology, Yale University, New Haven, Connecticut, United States of America
- Department of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, New Jersey, United States of America
| | - Ruben Sanchez-Romero
- Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, New Jersey, United States of America
| | - Takuya Ito
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America
| | - Ravi D. Mill
- Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, New Jersey, United States of America
| | - Brian P. Keane
- Department of Psychiatry and Neuroscience, University of Rochester Medical Center, Rochester, New York, United States of America
- Center for Visual Science, University of Rochester, Rochester, New York, United States of America
- Department of Brain and Cognitive Science, University of Rochester, Rochester, New York, United States of America
| | - Michael W. Cole
- Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, New Jersey, United States of America
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4
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Pitcher D, Ianni GR, Holiday K, Ungerleider LG. Identifying the cortical face network with dynamic face stimuli: A large group fMRI study. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.26.559583. [PMID: 37886588 PMCID: PMC10602036 DOI: 10.1101/2023.09.26.559583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Functional magnetic resonance imaging (fMRI) studies have identified a network of face-selective regions distributed across the human brain. In the present study, we analyzed data from a large group of gender-balanced participants to investigate how reliably these face-selective regions could be identified across both cerebral hemispheres. Participants ( N =52) were scanned with fMRI while viewing short videos of faces, bodies, and objects. Results revealed that five face-selective regions: the fusiform face area (FFA), posterior superior temporal sulcus (pSTS), anterior superior temporal sulcus (aSTS), inferior frontal gyrus (IFG) and the amygdala were all larger in the right than in the left hemisphere. The occipital face area (OFA) was larger in the right hemisphere as well, but the difference between the hemispheres was not significant. The neural response to moving faces was also greater in face-selective regions in the right than in the left hemisphere. An additional analysis revealed that the pSTS and IFG were significantly larger in the right hemisphere compared to other face-selective regions. This pattern of results demonstrates that moving faces are preferentially processed in the right hemisphere and that the pSTS and IFG appear to be the strongest drivers of this laterality. An analysis of gender revealed that face-selective regions were typically larger in females ( N =26) than males ( N =26), but this gender difference was not statistically significant.
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5
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Benetti S, Ferrari A, Pavani F. Multimodal processing in face-to-face interactions: A bridging link between psycholinguistics and sensory neuroscience. Front Hum Neurosci 2023; 17:1108354. [PMID: 36816496 PMCID: PMC9932987 DOI: 10.3389/fnhum.2023.1108354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 01/11/2023] [Indexed: 02/05/2023] Open
Abstract
In face-to-face communication, humans are faced with multiple layers of discontinuous multimodal signals, such as head, face, hand gestures, speech and non-speech sounds, which need to be interpreted as coherent and unified communicative actions. This implies a fundamental computational challenge: optimally binding only signals belonging to the same communicative action while segregating signals that are not connected by the communicative content. How do we achieve such an extraordinary feat, reliably, and efficiently? To address this question, we need to further move the study of human communication beyond speech-centred perspectives and promote a multimodal approach combined with interdisciplinary cooperation. Accordingly, we seek to reconcile two explanatory frameworks recently proposed in psycholinguistics and sensory neuroscience into a neurocognitive model of multimodal face-to-face communication. First, we introduce a psycholinguistic framework that characterises face-to-face communication at three parallel processing levels: multiplex signals, multimodal gestalts and multilevel predictions. Second, we consider the recent proposal of a lateral neural visual pathway specifically dedicated to the dynamic aspects of social perception and reconceive it from a multimodal perspective ("lateral processing pathway"). Third, we reconcile the two frameworks into a neurocognitive model that proposes how multiplex signals, multimodal gestalts, and multilevel predictions may be implemented along the lateral processing pathway. Finally, we advocate a multimodal and multidisciplinary research approach, combining state-of-the-art imaging techniques, computational modelling and artificial intelligence for future empirical testing of our model.
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Affiliation(s)
- Stefania Benetti
- Centre for Mind/Brain Sciences, University of Trento, Trento, Italy,Interuniversity Research Centre “Cognition, Language, and Deafness”, CIRCLeS, Catania, Italy,*Correspondence: Stefania Benetti,
| | - Ambra Ferrari
- Max Planck Institute for Psycholinguistics, Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Francesco Pavani
- Centre for Mind/Brain Sciences, University of Trento, Trento, Italy,Interuniversity Research Centre “Cognition, Language, and Deafness”, CIRCLeS, Catania, Italy
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6
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Pitcher D. Visual motion: Asymmetrical processing differences between the cerebral hemispheres. Curr Biol 2022; 32:R957-R960. [PMID: 36167045 DOI: 10.1016/j.cub.2022.08.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Hemispheric differences speak to the functional organisation of the human brain. A new study causally demonstrates such differences are present in bilateral motion-selective areas that are early in the visual cortical hierarchy.
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Affiliation(s)
- David Pitcher
- Department of Psychology, University of York, Heslington, York YO10 5DD, UK.
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7
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Nikel L, Sliwinska MW, Kucuk E, Ungerleider LG, Pitcher D. Measuring the response to visually presented faces in the human lateral prefrontal cortex. Cereb Cortex Commun 2022; 3:tgac036. [PMID: 36159205 PMCID: PMC9491845 DOI: 10.1093/texcom/tgac036] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 08/12/2022] [Accepted: 08/14/2022] [Indexed: 12/04/2022] Open
Abstract
Neuroimaging studies identify multiple face-selective areas in the human brain. In the current study, we compared the functional response of the face area in the lateral prefrontal cortex to that of other face-selective areas. In Experiment 1, participants (n = 32) were scanned viewing videos containing faces, bodies, scenes, objects, and scrambled objects. We identified a face-selective area in the right inferior frontal gyrus (rIFG). In Experiment 2, participants (n = 24) viewed the same videos or static images. Results showed that the rIFG, right posterior superior temporal sulcus (rpSTS), and right occipital face area (rOFA) exhibited a greater response to moving than static faces. In Experiment 3, participants (n = 18) viewed face videos in the contralateral and ipsilateral visual fields. Results showed that the rIFG and rpSTS showed no visual field bias, while the rOFA and right fusiform face area (rFFA) showed a contralateral bias. These experiments suggest two conclusions; firstly, in all three experiments, the face area in the IFG was not as reliably identified as face areas in the occipitotemporal cortex. Secondly, the similarity of the response profiles in the IFG and pSTS suggests the areas may perform similar cognitive functions, a conclusion consistent with prior neuroanatomical and functional connectivity evidence.
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Affiliation(s)
- Lara Nikel
- Department of Psychology, University of York, Heslington , York YO10 5DD , UK
| | | | - Emel Kucuk
- Department of Psychology, University of York, Heslington , York YO10 5DD , UK
| | - Leslie G Ungerleider
- Section on Neurocircuitry, Laboratory of Brain and Cognition, National Institute of Mental Health , Bethesda, MD, 20892 , USA
| | - David Pitcher
- Department of Psychology, University of York, Heslington , York YO10 5DD , UK
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8
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Duarte JV, Abreu R, Castelo-Branco M. A two-stage framework for neural processing of biological motion. Neuroimage 2022; 259:119403. [PMID: 35738331 DOI: 10.1016/j.neuroimage.2022.119403] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 05/18/2022] [Accepted: 06/19/2022] [Indexed: 11/26/2022] Open
Abstract
It remains to be understood how biological motion is hierarchically computed, from discrimination of local biological motion animacy to global dynamic body perception. Here, we addressed this functional separation of the correlates of the perception of local biological motion from perception of global motion of a body. We hypothesized that local biological motion processing can be isolated, by using a single dot motion perceptual decision paradigm featuring the biomechanical details of local realistic motion of a single joint. To ensure that we were indeed tackling processing of biological motion properties we used a discrimination instead of detection task. We discovered using representational similarity analysis that two key early dorsal and two ventral stream regions (visual motion selective hMT+ and V3A, extrastriate body area EBA and a region within fusiform gyrus FFG) showed robust and separable signals related to encoding of local biological motion and global motion-mediated shape. These signals reflected two independent processing stages, as revealed by representational similarity analysis and deconvolution of fMRI responses to each motion pattern. This study showed that higher level pSTS encodes both classes of biological motion in a similar way, revealing a higher-level integrative stage, reflecting scale independent biological motion perception. Our results reveal a two-stage framework for neural computation of biological motion, with an independent contribution of dorsal and ventral regions for the initial stage.
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Affiliation(s)
- João Valente Duarte
- Centre of Biomedical Imaging and Translational Research (CIBIT), Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Portugal; Faculty of Medicine, University of Coimbra, Portugal
| | - Rodolfo Abreu
- Centre of Biomedical Imaging and Translational Research (CIBIT), Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Portugal
| | - Miguel Castelo-Branco
- Centre of Biomedical Imaging and Translational Research (CIBIT), Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Portugal; Faculty of Medicine, University of Coimbra, Portugal.
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9
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Sakurai T. Social processes and social environment during development. Semin Cell Dev Biol 2021; 129:40-46. [PMID: 34649805 DOI: 10.1016/j.semcdb.2021.09.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 09/20/2021] [Accepted: 09/28/2021] [Indexed: 12/24/2022]
Abstract
Social behavior involves many processes including cognitive functions. Altered social behaviors associated with many psychiatric disorders might have alterations in the processes. Poor social environment affects development and maturation of cognitive functions that are important for social cognition, possibly introducing social stress as well as vulnerability to the stress into the developing brain. Adolescence and early adulthood have higher sensitivity to social stress, which may be linked to the onset of psychiatric disorders during this time period. Understanding social behavioral processes in detail will be crucial for elucidating mechanisms of emerging the social behavior phenotypes in psychiatric disorders and for devising therapeutic and preventive interventions to introduce the resilience for the onset of psychiatric disorders through modulation of social circuitries.
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Affiliation(s)
- Takeshi Sakurai
- Medical Innovation Center Kyoto University Graduate School of Medicine, 53 ShogoinKawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan; Department of Pathology, Columbia University Vagelos College of Physicians and Surgeons, New York, USA.
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10
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Poltoratski S, Kay K, Finzi D, Grill-Spector K. Holistic face recognition is an emergent phenomenon of spatial processing in face-selective regions. Nat Commun 2021; 12:4745. [PMID: 34362883 PMCID: PMC8346587 DOI: 10.1038/s41467-021-24806-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 07/06/2021] [Indexed: 11/10/2022] Open
Abstract
Spatial processing by receptive fields is a core property of the visual system. However, it is unknown how spatial processing in high-level regions contributes to recognition behavior. As face inversion is thought to disrupt typical holistic processing of information in faces, we mapped population receptive fields (pRFs) with upright and inverted faces in the human visual system. Here we show that in face-selective regions, but not primary visual cortex, pRFs and overall visual field coverage are smaller and shifted downward in response to face inversion. From these measurements, we successfully predict the relative behavioral detriment of face inversion at different positions in the visual field. This correspondence between neural measurements and behavior demonstrates how spatial processing in face-selective regions may enable holistic perception. These results not only show that spatial processing in high-level visual regions is dynamically used towards recognition, but also suggest a powerful approach for bridging neural computations by receptive fields to behavior.
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Affiliation(s)
| | - Kendrick Kay
- Center for Magnetic Resonance Research (CMRR), Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - Dawn Finzi
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Kalanit Grill-Spector
- Department of Psychology, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
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11
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Babo-Rebelo M, Puce A, Bullock D, Hugueville L, Pestilli F, Adam C, Lehongre K, Lambrecq V, Dinkelacker V, George N. Visual Information Routes in the Posterior Dorsal and Ventral Face Network Studied with Intracranial Neurophysiology and White Matter Tract Endpoints. Cereb Cortex 2021; 32:342-366. [PMID: 34339495 PMCID: PMC8754371 DOI: 10.1093/cercor/bhab212] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 05/03/2021] [Accepted: 06/02/2021] [Indexed: 11/13/2022] Open
Abstract
Occipitotemporal regions within the face network process perceptual and socioemotional information, but the dynamics and information flow between different nodes of this network are still debated. Here, we analyzed intracerebral EEG from 11 epileptic patients viewing a stimulus sequence beginning with a neutral face with direct gaze. The gaze could avert or remain direct, while the emotion changed to fearful or happy. N200 field potential peak latencies indicated that face processing begins in inferior occipital cortex and proceeds anteroventrally to fusiform and inferior temporal cortices, in parallel. The superior temporal sulcus responded preferentially to gaze changes with augmented field potential amplitudes for averted versus direct gaze, and large effect sizes relative to other network regions. An overlap analysis of posterior white matter tractography endpoints (from 1066 healthy brains) relative to active intracerebral electrodes in the 11 patients showed likely involvement of both dorsal and ventral posterior white matter pathways. Overall, our data provide new insight into the timing of face and social cue processing in the occipitotemporal brain and anchor the superior temporal cortex in dynamic gaze processing.
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Affiliation(s)
- M Babo-Rebelo
- Institut du Cerveau-Paris Brain Institute, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Centre de Neuroimagerie de Recherche, CENIR, Centre MEG-EEG and STIM Platform, Paris F-75013, France.,Sorbonne Université, Institut du Cerveau-Paris Brain Institute, ICM, Inserm U 1127, CNRS UMR 7225, Experimental Neurosurgery Team, Paris F-75013, France.,Institute of Cognitive Neuroscience, University College London, WC1N 3AZ, London, UK
| | - A Puce
- Department of Psychological and Brain Sciences, Programs in Neuroscience, Cognitive Science, Indiana University, Bloomington, IN 47401, USA
| | - D Bullock
- Department of Psychological and Brain Sciences, Programs in Neuroscience, Cognitive Science, Indiana University, Bloomington, IN 47401, USA
| | - L Hugueville
- Institut du Cerveau-Paris Brain Institute, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Centre de Neuroimagerie de Recherche, CENIR, Centre MEG-EEG and STIM Platform, Paris F-75013, France
| | - F Pestilli
- Department of Psychological and Brain Sciences, Programs in Neuroscience, Cognitive Science, Indiana University, Bloomington, IN 47401, USA
| | - C Adam
- Neurophysiology Department, AP-HP, GH Pitié-Salpêtrière-Charles Foix, Paris F-75013, France
| | - K Lehongre
- Institut du Cerveau-Paris Brain Institute, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Centre de Neuroimagerie de Recherche, CENIR, Centre MEG-EEG and STIM Platform, Paris F-75013, France
| | - V Lambrecq
- Institut du Cerveau-Paris Brain Institute, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Centre de Neuroimagerie de Recherche, CENIR, Centre MEG-EEG and STIM Platform, Paris F-75013, France.,Neurophysiology Department, AP-HP, GH Pitié-Salpêtrière-Charles Foix, Paris F-75013, France
| | - V Dinkelacker
- Department of Neurology, Rothschild Foundation, Paris F-75019, France
| | - N George
- Institut du Cerveau-Paris Brain Institute, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Centre de Neuroimagerie de Recherche, CENIR, Centre MEG-EEG and STIM Platform, Paris F-75013, France.,Sorbonne Université, Institut du Cerveau-Paris Brain Institute, ICM, Inserm U 1127, CNRS UMR 7225, Experimental Neurosurgery Team, Paris F-75013, France
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12
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Alais D, Xu Y, Wardle SG, Taubert J. A shared mechanism for facial expression in human faces and face pareidolia. Proc Biol Sci 2021; 288:20210966. [PMID: 34229489 PMCID: PMC8261219 DOI: 10.1098/rspb.2021.0966] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Facial expressions are vital for social communication, yet the underlying mechanisms are still being discovered. Illusory faces perceived in objects (face pareidolia) are errors of face detection that share some neural mechanisms with human face processing. However, it is unknown whether expression in illusory faces engages the same mechanisms as human faces. Here, using a serial dependence paradigm, we investigated whether illusory and human faces share a common expression mechanism. First, we found that images of face pareidolia are reliably rated for expression, within and between observers, despite varying greatly in visual features. Second, they exhibit positive serial dependence for perceived facial expression, meaning an illusory face (happy or angry) is perceived as more similar in expression to the preceding one, just as seen for human faces. This suggests illusory and human faces engage similar mechanisms of temporal continuity. Third, we found robust cross-domain serial dependence of perceived expression between illusory and human faces when they were interleaved, with serial effects larger when illusory faces preceded human faces than the reverse. Together, the results support a shared mechanism for facial expression between human faces and illusory faces and suggest that expression processing is not tightly bound to human facial features.
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Affiliation(s)
- David Alais
- School of Psychology, The University of Sydney, Sydney, New South Wales, Australia
| | - Yiben Xu
- School of Psychology, The University of Sydney, Sydney, New South Wales, Australia
| | - Susan G Wardle
- Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, USA
| | - Jessica Taubert
- Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, USA
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13
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Stam D, Huang YA, Vansteelandt K, Sunaert S, Peeters R, Sleurs C, Vrancken L, Emsell L, Vogels R, Vandenbulcke M, Van den Stock J. Long term fMRI adaptation depends on adapter response in face-selective cortex. Commun Biol 2021; 4:712. [PMID: 34112924 PMCID: PMC8192765 DOI: 10.1038/s42003-021-02235-6] [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] [Received: 10/06/2020] [Accepted: 05/18/2021] [Indexed: 11/09/2022] Open
Abstract
Repetition suppression (RS) reflects a neural attenuation during repeated stimulation. We used fMRI and the subsequent memory paradigm to test the predictive coding hypothesis for RS during visual memory processing by investigating the interaction between RS and differences due to memory in category-selective cortex (FFA, pSTS, PPA, and RSC). Fifty-six participants encoded face and house stimuli twice, followed by an immediate and delayed (48 h) recognition memory assessment. Linear Mixed Model analyses with repetition, subsequent recognition performance, and their interaction as fixed effects revealed that absolute RS during encoding interacts with probability of future remembrance in face-selective cortex. This effect was not observed for relative RS, i.e. when controlled for adapter-response. The findings also reveal an association between adapter response and RS, both for short and long term (48h) intervals, after controlling for the mathematical dependence between both measures. These combined findings are challenging for predictive coding models of visual memory and are more compatible with adapter-related and familiarity accounts.
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Affiliation(s)
- Daphne Stam
- Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Yun-An Huang
- Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Kristof Vansteelandt
- Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven, Belgium.,Geriatric Psychiatry, University Psychiatric Centre KU Leuven, Leuven, Belgium
| | - Stefan Sunaert
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium.,Deaprtment of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Ron Peeters
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium.,Deaprtment of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Charlotte Sleurs
- Department of Pediatrics, University Hospitals Leuven, Leuven, Belgium
| | - Leia Vrancken
- Laboratory for Experimental Psychology, KU Leuven, Leuven, Belgium
| | - Louise Emsell
- Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Rufin Vogels
- Laboratory for Neuro- and Psychophysiology, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Mathieu Vandenbulcke
- Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven, Belgium.,Geriatric Psychiatry, University Psychiatric Centre KU Leuven, Leuven, Belgium
| | - Jan Van den Stock
- Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven, Belgium. .,Geriatric Psychiatry, University Psychiatric Centre KU Leuven, Leuven, Belgium.
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Pitcher D. Characterizing the Third Visual Pathway for Social Perception. Trends Cogn Sci 2021; 25:550-551. [PMID: 34024729 DOI: 10.1016/j.tics.2021.04.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 04/21/2021] [Indexed: 11/25/2022]
Affiliation(s)
- David Pitcher
- Department of Psychology, University of York, Heslington, York, YO10 5DD, UK.
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Pitcher D, Ungerleider LG. Evidence for a Third Visual Pathway Specialized for Social Perception. Trends Cogn Sci 2021; 25:100-110. [PMID: 33334693 PMCID: PMC7811363 DOI: 10.1016/j.tics.2020.11.006] [Citation(s) in RCA: 211] [Impact Index Per Article: 52.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 11/18/2020] [Accepted: 11/18/2020] [Indexed: 11/20/2022]
Abstract
Existing models propose that primate visual cortex is divided into two functionally distinct pathways. The ventral pathway computes the identity of an object; the dorsal pathway computes the location of an object, and the actions related to that object. Despite remaining influential, the two visual pathways model requires revision. Both human and non-human primate studies reveal the existence of a third visual pathway on the lateral brain surface. This third pathway projects from early visual cortex, via motion-selective areas, into the superior temporal sulcus (STS). Studies demonstrating that the STS computes the actions of moving faces and bodies (e.g., expressions, eye-gaze, audio-visual integration, intention, and mood) show that the third visual pathway is specialized for the dynamic aspects of social perception.
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Affiliation(s)
- David Pitcher
- Department of Psychology, University of York, York, YO10 5DD, UK.
| | - Leslie G Ungerleider
- Section on Neurocircuitry, Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD 20892, USA
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Starks MD, Shafer-Skelton A, Paradiso M, Martinez AM, Golomb JD. The influence of spatial location on same-different judgments of facial identity and expression. J Exp Psychol Hum Percept Perform 2020; 46:2020-78982-001. [PMID: 33090835 PMCID: PMC8641643 DOI: 10.1037/xhp0000872] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The "spatial congruency bias" is a behavioral phenomenon where 2 objects presented sequentially are more likely to be judged as being the same object if they are presented in the same location (Golomb, Kupitz, & Thiemann, 2014), suggesting that irrelevant spatial location information may be bound to object representations. Here, we examine whether the spatial congruency bias extends to higher-level object judgments of facial identity and expression. On each trial, 2 real-world faces were sequentially presented in variable screen locations, and subjects were asked to make same-different judgments on the facial expression (Experiments 1-2) or facial identity (Experiment 3) of the stimuli. We observed a robust spatial congruency bias for judgments of facial identity, yet a more fragile one for judgments of facial expression. Subjects were more likely to judge 2 faces as displaying the same expression if they were presented in the same location (compared to in different locations), but only when the faces shared the same identity. On the other hand, a spatial congruency bias was found when subjects made judgments on facial identity, even across faces displaying different facial expressions. These findings suggest a possible difference between the binding of facial identity and facial expression to spatial location. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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Affiliation(s)
| | - Anna Shafer-Skelton
- Department of Psychology, The Ohio State University
- Department of Psychology, University of California, San Diego
| | | | - Aleix M. Martinez
- Department of Electrical and Computer Engineering, The Ohio State University
| | - Julie D. Golomb
- Department of Psychology, The Ohio State University
- Department of Neuroscience, The Ohio State University
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Asymmetric Contributions of the Fronto-Parietal Network to Emotional Conflict in the Word–Face Interference Task. Symmetry (Basel) 2020. [DOI: 10.3390/sym12101701] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
The fronto-parietal network is involved in top-down and bottom-up processes necessary to achieve cognitive control. We investigated the role of asymmetric enhancement of the left dorsolateral prefrontal cortex (lDLPFC) and right posterior parietal cortex (rPPC) in cognitive control under conditions of emotional conflict arising from emotional distractors. The effects of anodal tDCS over the lDLPFC/cathodal over the rPPC and the effects of anodal tDCS over the rPPC/cathodal over the lDLPFC were compared to sham tDCS in a double-blind design. The findings showed that anodal stimulation over the lDLPFC reduced interference from emotional distractors, but only when participants had already gained experience with the task. In contrast, having already performed the task only eliminated facilitation effects for positive stimuli. Importantly, anodal stimulation of the rPPC did not affect distractors’ interference. Therefore, the present findings indicate that the lDLPFC plays a crucial role in implementing top-down control to resolve emotional conflict, but that experience with the task is necessary to reveal this role.
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Sliwinska MW, Bearpark C, Corkhill J, McPhillips A, Pitcher D. Dissociable pathways for moving and static face perception begin in early visual cortex: Evidence from an acquired prosopagnosic. Cortex 2020; 130:327-339. [DOI: 10.1016/j.cortex.2020.03.033] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 02/14/2020] [Accepted: 03/13/2020] [Indexed: 11/25/2022]
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Sliwinska MW, Elson R, Pitcher D. Dual-site TMS demonstrates causal functional connectivity between the left and right posterior temporal sulci during facial expression recognition. Brain Stimul 2020; 13:1008-1013. [PMID: 32335230 PMCID: PMC7301156 DOI: 10.1016/j.brs.2020.04.011] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 03/24/2020] [Accepted: 04/17/2020] [Indexed: 01/16/2023] Open
Abstract
Background Neuroimaging studies suggest that facial expression recognition is processed in the bilateral posterior superior temporal sulcus (pSTS). Our recent repetitive transcranial magnetic stimulation (rTMS) study demonstrates that the bilateral pSTS is causally involved in expression recognition, although involvement of the right pSTS is greater than involvement of the left pSTS. Objective /Hypothesis: In this study, we used a dual-site TMS to investigate whether the left pSTS is functionally connected to the right pSTS during expression recognition. We predicted that if this connection exists, simultaneous TMS disruption of the bilateral pSTS would impair expression recognition to a greater extent than unilateral stimulation of the right pSTS alone. Methods Participants attended two TMS sessions. In Session 1, participants performed an expression recognition task while rTMS was delivered to the face-sensitive right pSTS (experimental site), object-sensitive right lateral occipital complex (control site) or no rTMS was delivered (behavioural control). In Session 2, the same experimental design was used, except that continuous theta-burst stimulation (cTBS) was delivered to the left pSTS immediately before behavioural testing commenced. Session order was counter-balanced across participants. Results In Session 1, rTMS to the rpSTS impaired performance accuracy compared to the control conditions. Crucially in Session 2, the size of this impairment effect doubled after cTBS was delivered to the left pSTS. Conclusions Our results provide evidence for a causal functional connection between the left and right pSTS during expression recognition. In addition, this study further demonstrates the utility of the dual-site TMS for investigating causal functional links between brain regions. Dual-site TMS was used to test causal functional connectivity between left and right pSTS during expression recognition. rTMS impaired facial expression recognition when delivered to the right pSTS during a facial expression recognition task. cTBS delivered to the left pSTS prior to the task doubled the impairment effect of rTMS to the right pSTS during the task. The results demonstrate causal functional connectivity between the left and right pSTS during expression recognition. The results also demonstrate the utility of dual-site TMS for investigating interregional causal functional connectivity.
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Affiliation(s)
| | - Ryan Elson
- Department of Psychology, University of York, Heslington, York, YO10 5DD, UK
| | - David Pitcher
- Department of Psychology, University of York, Heslington, York, YO10 5DD, UK
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Wu C, Zhen Z, Huang L, Huang T, Liu J. COMT-Polymorphisms Modulated Functional Profile of the Fusiform Face Area Contributes to Face-Specific Recognition Ability. Sci Rep 2020; 10:2134. [PMID: 32034175 PMCID: PMC7005682 DOI: 10.1038/s41598-020-58747-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Accepted: 01/15/2020] [Indexed: 12/03/2022] Open
Abstract
Previous studies have shown that face-specific recognition ability (FRA) is heritable; however, the neural basis of this heritability is unclear. Candidate gene studies have suggested that the catechol-O-methyltransferase (COMT) rs4680 polymorphism is related to face perception. Here, using a partial least squares (PLS) method, we examined the multivariate association between 12 genotypes of 4 COMT polymorphisms (rs6269-rs4633-rs4818-rs4680) and multimodal MRI phenotypes in the human fusiform face area (FFA), which selectively responds to face stimuli, in 338 Han Chinese adults (mean age 20.45 years; 135 males). The MRI phenotypes included gray matter volume (GMV), resting-state fractional amplitude of low-frequency fluctuations (fALFF), and face-selective blood-oxygen-level-dependent (BOLD) responses (FS). We found that the first COMT-variant component (PLS1) was positively associated with the FS but negatively associated with the fALFF in the FFA. Moreover, participants with the COMT heterozygous-HEA-haplotype showed higher PLS1 FFA-MRI scores, which were positively associated with the FRA in an old/new face recognition task, than those with the COMT homozygous HEA haplotype and HEA non-carriers, suggesting that individuals with an appropriate (intermediate) level of dopamine activity in the FFA might have better FRA. In summary, our study provides empirical evidence for the genetic and neural basis for the heritability of face recognition and informs the formation of neural module functional specificity.
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Affiliation(s)
- Chao Wu
- School of Nursing, Peking University Health Science Centre, Beijing, 100191, China
| | - Zonglei Zhen
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, Beijing, 100875, China.
| | - Lijie Huang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Taicheng Huang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Jia Liu
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, Beijing, 100875, China.
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Burra N, Kerzel D. Task Demands Modulate Effects of Threatening Faces on Early Perceptual Encoding. Front Psychol 2019; 10:2400. [PMID: 31708839 PMCID: PMC6821787 DOI: 10.3389/fpsyg.2019.02400] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 10/08/2019] [Indexed: 12/03/2022] Open
Abstract
The threat capture hypothesis states that threatening stimuli are automatically processed with higher priority than non-threatening stimuli, irrespective of observer intentions or focus of attention. We evaluated the threat capture hypothesis with respect to the early perceptual stages of face processing. We focused on an electrophysiological marker of face processing (the lateralized N170) in response to neutral, happy, and angry facial expressions displayed in competition with a non-face stimulus (a house). We evaluated how effects of facial expression on the lateralized N170 were modulated by task demands. In the pixel task, participants were required to identify the gender of the face, which made the face task-relevant and entailed structural encoding of the face stimulus. In the pixel task, participants identified the location of a missing pixel in the fixation cross, which made the face task-irrelevant and placed it outside the focus of attention. When faces were relevant, the lateralized N170 to angry faces was enhanced compared to happy and neutral faces. When faces were irrelevant, facial expression had no effect. These results reveal the critical role of task demands on the preference for threatening faces, indicating that top-down, voluntary processing modulates the prioritization of threat.
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Affiliation(s)
- Nicolas Burra
- Faculté de Psychologie et des Sciences de l'Éducation, Université de Genève, Geneva, Switzerland
| | - Dirk Kerzel
- Faculté de Psychologie et des Sciences de l'Éducation, Université de Genève, Geneva, Switzerland
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