When affect overlaps with concept: emotion recognition in semantic variant of primary progressive aphasia
The most recent theories of emotions have postulated that their expression and recognition depend on acquired conceptual knowledge. In other words, the conceptual knowledge derived from prior experiences guide our ability to make sense of such emotions. However, clear evidence is still lacking to co...
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Published in | Brain (London, England : 1878) Vol. 143; no. 12; pp. 3850 - 3864 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Oxford University Press
01.12.2020
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Subjects | |
Online Access | Get full text |
ISSN | 0006-8950 1460-2156 1460-2156 |
DOI | 10.1093/brain/awaa313 |
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Abstract | The most recent theories of emotions have postulated that their expression and recognition depend on acquired conceptual knowledge. In other words, the conceptual knowledge derived from prior experiences guide our ability to make sense of such emotions. However, clear evidence is still lacking to contradict more traditional theories, considering emotions as innate, distinct and universal physiological states. In addition, whether valence processing (i.e. recognition of the pleasant/unpleasant character of emotions) also relies on semantic knowledge is yet to be determined. To investigate the contribution of semantic knowledge to facial emotion recognition and valence processing, we conducted a behavioural and neuroimaging study in 20 controls and 16 patients with the semantic variant of primary progressive aphasia, a neurodegenerative disease that is prototypical of semantic memory impairment, and in which an emotion recognition deficit has already been described. We assessed participants’ knowledge of emotion concepts and recognition of 10 basic (e.g. anger) or self-conscious (e.g. embarrassment) facial emotional expressions presented both statically (images) and dynamically (videos). All participants also underwent a brain MRI. Group comparisons revealed deficits in both emotion concept knowledge and emotion recognition in patients, independently of type of emotion and presentation. These measures were significantly correlated with each other in patients and with semantic fluency in patients and controls. Neuroimaging analyses showed that both emotion recognition and emotion conceptual knowledge were correlated with reduced grey matter density in similar areas within frontal ventral, temporal, insular and striatal regions, together with white fibre degeneration in tracts connecting frontal regions with each other as well as with temporal regions. We then performed a qualitative analysis of responses made during the facial emotion recognition task, by delineating valence errors (when one emotion was mistaken for another of a different valence), from other errors made during the emotion recognition test. We found that patients made more valence errors. The number of valence errors correlated with emotion conceptual knowledge as well as with reduced grey matter volume in brain regions already retrieved to correlate with this score. Specificity analyses allowed us to conclude that this cognitive relationship and anatomical overlap were not mediated by a general effect of disease severity. Our findings suggest that semantic knowledge guides the recognition of emotions and is also involved in valence processing. Our study supports a constructionist view of emotion recognition and valence processing, and could help to refine current theories on the interweaving of semantic knowledge and emotion processing. |
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AbstractList | The most recent theories of emotions have postulated that their expression and recognition depend on acquired conceptual knowledge. In other words, the conceptual knowledge derived from prior experiences guide our ability to make sense of such emotions. However, clear evidence is still lacking to contradict more traditional theories, considering emotions as innate, distinct and universal physiological states. In addition, whether valence processing (i.e. recognition of the pleasant/unpleasant character of emotions) also relies on semantic knowledge is yet to be determined. To investigate the contribution of semantic knowledge to facial emotion recognition and valence processing, we conducted a behavioural and neuroimaging study in 20 controls and 16 patients with the semantic variant of primary progressive aphasia, a neurodegenerative disease that is prototypical of semantic memory impairment, and in which an emotion recognition deficit has already been described. We assessed participants' knowledge of emotion concepts and recognition of 10 basic (e.g. anger) or self-conscious (e.g. embarrassment) facial emotional expressions presented both statically (images) and dynamically (videos). All participants also underwent a brain MRI. Group comparisons revealed deficits in both emotion concept knowledge and emotion recognition in patients, independently of type of emotion and presentation. These measures were significantly correlated with each other in patients and with semantic fluency in patients and controls. Neuroimaging analyses showed that both emotion recognition and emotion conceptual knowledge were correlated with reduced grey matter density in similar areas within frontal ventral, temporal, insular and striatal regions, together with white fibre degeneration in tracts connecting frontal regions with each other as well as with temporal regions. We then performed a qualitative analysis of responses made during the facial emotion recognition task, by delineating valence errors (when one emotion was mistaken for another of a different valence), from other errors made during the emotion recognition test. We found that patients made more valence errors. The number of valence errors correlated with emotion conceptual knowledge as well as with reduced grey matter volume in brain regions already retrieved to correlate with this score. Specificity analyses allowed us to conclude that this cognitive relationship and anatomical overlap were not mediated by a general effect of disease severity. Our findings suggest that semantic knowledge guides the recognition of emotions and is also involved in valence processing. Our study supports a constructionist view of emotion recognition and valence processing, and could help to refine current theories on the interweaving of semantic knowledge and emotion processing.The most recent theories of emotions have postulated that their expression and recognition depend on acquired conceptual knowledge. In other words, the conceptual knowledge derived from prior experiences guide our ability to make sense of such emotions. However, clear evidence is still lacking to contradict more traditional theories, considering emotions as innate, distinct and universal physiological states. In addition, whether valence processing (i.e. recognition of the pleasant/unpleasant character of emotions) also relies on semantic knowledge is yet to be determined. To investigate the contribution of semantic knowledge to facial emotion recognition and valence processing, we conducted a behavioural and neuroimaging study in 20 controls and 16 patients with the semantic variant of primary progressive aphasia, a neurodegenerative disease that is prototypical of semantic memory impairment, and in which an emotion recognition deficit has already been described. We assessed participants' knowledge of emotion concepts and recognition of 10 basic (e.g. anger) or self-conscious (e.g. embarrassment) facial emotional expressions presented both statically (images) and dynamically (videos). All participants also underwent a brain MRI. Group comparisons revealed deficits in both emotion concept knowledge and emotion recognition in patients, independently of type of emotion and presentation. These measures were significantly correlated with each other in patients and with semantic fluency in patients and controls. Neuroimaging analyses showed that both emotion recognition and emotion conceptual knowledge were correlated with reduced grey matter density in similar areas within frontal ventral, temporal, insular and striatal regions, together with white fibre degeneration in tracts connecting frontal regions with each other as well as with temporal regions. We then performed a qualitative analysis of responses made during the facial emotion recognition task, by delineating valence errors (when one emotion was mistaken for another of a different valence), from other errors made during the emotion recognition test. We found that patients made more valence errors. The number of valence errors correlated with emotion conceptual knowledge as well as with reduced grey matter volume in brain regions already retrieved to correlate with this score. Specificity analyses allowed us to conclude that this cognitive relationship and anatomical overlap were not mediated by a general effect of disease severity. Our findings suggest that semantic knowledge guides the recognition of emotions and is also involved in valence processing. Our study supports a constructionist view of emotion recognition and valence processing, and could help to refine current theories on the interweaving of semantic knowledge and emotion processing. The most recent theories of emotions have postulated that their expression and recognition depend on acquired conceptual knowledge. In other words, the conceptual knowledge derived from prior experiences guide our ability to make sense of such emotions. However, clear evidence is still lacking to contradict more traditional theories, considering emotions as innate, distinct and universal physiological states. In addition, whether valence processing (i.e. recognition of the pleasant/unpleasant character of emotions) also relies on semantic knowledge is yet to be determined. To investigate the contribution of semantic knowledge to facial emotion recognition and valence processing, we conducted a behavioural and neuroimaging study in 20 controls and 16 patients with the semantic variant of primary progressive aphasia, a neurodegenerative disease that is prototypical of semantic memory impairment, and in which an emotion recognition deficit has already been described. We assessed participants' knowledge of emotion concepts and recognition of 10 basic (e.g. anger) or self-conscious (e.g. embarrassment) facial emotional expressions presented both statically (images) and dynamically (videos). All participants also underwent a brain MRI. Group comparisons revealed deficits in both emotion concept knowledge and emotion recognition in patients, independently of type of emotion and presentation. These measures were significantly correlated with each other in patients and with semantic fluency in patients and controls. Neuroimaging analyses showed that both emotion recognition and emotion conceptual knowledge were correlated with reduced grey matter density in similar areas within frontal ventral, temporal, insular and striatal regions, together with white fibre degeneration in tracts connecting frontal regions with each other as well as with temporal regions. We then performed a qualitative analysis of responses made during the facial emotion recognition task, by delineating valence errors (when one emotion was mistaken for another of a different valence), from other errors made during the emotion recognition test. We found that patients made more valence errors. The number of valence errors correlated with emotion conceptual knowledge as well as with reduced grey matter volume in brain regions already retrieved to correlate with this score. Specificity analyses allowed us to conclude that this cognitive relationship and anatomical overlap were not mediated by a general effect of disease severity. Our findings suggest that semantic knowledge guides the recognition of emotions and is also involved in valence processing. Our study supports a constructionist view of emotion recognition and valence processing, and could help to refine current theories on the interweaving of semantic knowledge and emotion processing. See Ibanez and Schulte (doi: 10.1093/brain/awaa392 ) for a scientific commentary on this article. Are emotions innate or do they depend on contextual – and thus cultural – knowledge? Using neuropsychological testing and neuroimaging in patients with the semantic variant of primary progressive aphasia, Bertoux et al . show that emotion recognition depends on semantic knowledge of emotion concepts. The most recent theories of emotions have postulated that their expression and recognition depend on acquired conceptual knowledge. In other words, the conceptual knowledge derived from prior experiences guide our ability to make sense of such emotions. However, clear evidence is still lacking to contradict more traditional theories, considering emotions as innate, distinct and universal physiological states. In addition, whether valence processing (i.e. recognition of the pleasant/unpleasant character of emotions) also relies on semantic knowledge is yet to be determined. To investigate the contribution of semantic knowledge to facial emotion recognition and valence processing, we conducted a behavioural and neuroimaging study in 20 controls and 16 patients with the semantic variant of primary progressive aphasia, a neurodegenerative disease that is prototypical of semantic memory impairment, and in which an emotion recognition deficit has already been described. We assessed participants’ knowledge of emotion concepts and recognition of 10 basic (e.g. anger) or self-conscious (e.g. embarrassment) facial emotional expressions presented both statically (images) and dynamically (videos). All participants also underwent a brain MRI. Group comparisons revealed deficits in both emotion concept knowledge and emotion recognition in patients, independently of type of emotion and presentation. These measures were significantly correlated with each other in patients and with semantic fluency in patients and controls. Neuroimaging analyses showed that both emotion recognition and emotion conceptual knowledge were correlated with reduced grey matter density in similar areas within frontal ventral, temporal, insular and striatal regions, together with white fibre degeneration in tracts connecting frontal regions with each other as well as with temporal regions. We then performed a qualitative analysis of responses made during the facial emotion recognition task, by delineating valence errors (when one emotion was mistaken for another of a different valence), from other errors made during the emotion recognition test. We found that patients made more valence errors. The number of valence errors correlated with emotion conceptual knowledge as well as with reduced grey matter volume in brain regions already retrieved to correlate with this score. Specificity analyses allowed us to conclude that this cognitive relationship and anatomical overlap were not mediated by a general effect of disease severity. Our findings suggest that semantic knowledge guides the recognition of emotions and is also involved in valence processing. Our study supports a constructionist view of emotion recognition and valence processing, and could help to refine current theories on the interweaving of semantic knowledge and emotion processing. The most recent theories of emotions have postulated that their expression and recognition depend on acquired conceptual knowledge. In other words, the conceptual knowledge derived from prior experiences guide our ability to make sense of such emotions. However, clear evidences are still lacking to contradict more traditional theories, considering emotions as innate and universal physiological states. In addition, whether valence processing (i.e., recognition of the pleasant/unpleasant character of emotions) also relies on semantic knowledge is yet to determine. To investigate the contribution of semantic knowledge to facial emotion recognition and valence processing, we conducted a behavioural and neuroimaging study in 20 controls and 16 patients with the semantic variant of primary progressive aphasia, a neurodegenerative disease that is prototypical of semantic memory impairment, and in which an emotion recognition deficit has already been described. We assessed participants' knowledge of emotion concepts and recognition of 10 basic (e.g. anger) or self-conscious (e.g. embarrassment) facial emotional expressions presented both statically (i.e. images) and dynamically (i.e. videos). All participants also underwent a brain MRI. Group comparisons revealed deficits in both emotion concept knowledge and emotion recognition in patients, independently of type of emotion and presentation. These measures were significantly correlated with each other in patients and with semantic fluency in patients and controls. Neuroimaging analyses showed that both emotion recognition and emotion conceptual knowledge were correlated with reduced grey-matter density in similar areas within frontal ventral, temporal, insular and striatal regions, together with white-fibre degeneration in tracts connecting frontal regions with each other as well as with temporal regions. We then performed a qualitative analysis of responses made during the facial emotion recognition task, by delineating valence errors (when one emotion was mistaken for another of a different valence), from other errors made during the emotion recognition test. We found that patients made more valence errors. The number of valence errors correlated with emotion conceptual knowledge as well as with reduced grey-matter volume in brain regions already retrieved to correlate with this score. Specificity analyses allowed us to conclude that this cognitive relationship and anatomical overlap were not mediated by a general effect of disease severity. Our findings suggest that semantic knowledge guides the recognition of emotions and is also involved in valence processing. Our study supports a constructionist view of emotion recognition and valence processing, and could help to refine current theories on the interweaving of semantic knowledge and emotion processing. |
Author | Laisney, Mickaël Belliard, Serge Duclos, Harmony Caillaud, Marie Desgranges, Béatrice Bertoux, Maxime Segobin, Shailendra Merck, Catherine Eustache, Francis de La Sayette, Vincent |
AuthorAffiliation | 4 Neurology Department, Pontchaillou University Hospital , Rennes, France 5 Neurology Department, Caen University Hospital , Caen, France 2 Univ. Lille, Inserm, CHU Lille, UMRS1172, Lille Neurosciences & Cognition Institute , F-59000 Lille, France 3 CRP-CPO, Picardy Jules Verne University , Amiens, France 1 Neuropsychology and Imaging of Human Memory research unit, Caen-Normandy University-PSL Research University-EPHE-INSERM-Caen University Hospital, UMRS1077, GIP Cyceron , Caen, France |
AuthorAffiliation_xml | – name: 4 Neurology Department, Pontchaillou University Hospital , Rennes, France – name: 5 Neurology Department, Caen University Hospital , Caen, France – name: 1 Neuropsychology and Imaging of Human Memory research unit, Caen-Normandy University-PSL Research University-EPHE-INSERM-Caen University Hospital, UMRS1077, GIP Cyceron , Caen, France – name: 2 Univ. Lille, Inserm, CHU Lille, UMRS1172, Lille Neurosciences & Cognition Institute , F-59000 Lille, France – name: 3 CRP-CPO, Picardy Jules Verne University , Amiens, France |
Author_xml | – sequence: 1 givenname: Maxime orcidid: 0000-0002-5283-503X surname: Bertoux fullname: Bertoux, Maxime organization: Neuropsychology and Imaging of Human Memory research unit, Caen-Normandy University-PSL Research University-EPHE-INSERM-Caen University Hospital, UMRS1077, GIP Cyceron, Caen, France, Univ. Lille, Inserm, CHU Lille, UMRS1172, Lille Neurosciences & Cognition Institute, F-59000 Lille, France – sequence: 2 givenname: Harmony orcidid: 0000-0002-3509-6749 surname: Duclos fullname: Duclos, Harmony organization: Neuropsychology and Imaging of Human Memory research unit, Caen-Normandy University-PSL Research University-EPHE-INSERM-Caen University Hospital, UMRS1077, GIP Cyceron, Caen, France, CRP-CPO, Picardy Jules Verne University, Amiens, France – sequence: 3 givenname: Marie surname: Caillaud fullname: Caillaud, Marie organization: Neuropsychology and Imaging of Human Memory research unit, Caen-Normandy University-PSL Research University-EPHE-INSERM-Caen University Hospital, UMRS1077, GIP Cyceron, Caen, France – sequence: 4 givenname: Shailendra orcidid: 0000-0003-1977-8210 surname: Segobin fullname: Segobin, Shailendra organization: Neuropsychology and Imaging of Human Memory research unit, Caen-Normandy University-PSL Research University-EPHE-INSERM-Caen University Hospital, UMRS1077, GIP Cyceron, Caen, France – sequence: 5 givenname: Catherine surname: Merck fullname: Merck, Catherine organization: Neuropsychology and Imaging of Human Memory research unit, Caen-Normandy University-PSL Research University-EPHE-INSERM-Caen University Hospital, UMRS1077, GIP Cyceron, Caen, France, Neurology Department, Pontchaillou University Hospital, Rennes, France – sequence: 6 givenname: Vincent surname: de La Sayette fullname: de La Sayette, Vincent organization: Neuropsychology and Imaging of Human Memory research unit, Caen-Normandy University-PSL Research University-EPHE-INSERM-Caen University Hospital, UMRS1077, GIP Cyceron, Caen, France, Neurology Department, Caen University Hospital, Caen, France – sequence: 7 givenname: Serge surname: Belliard fullname: Belliard, Serge organization: Neuropsychology and Imaging of Human Memory research unit, Caen-Normandy University-PSL Research University-EPHE-INSERM-Caen University Hospital, UMRS1077, GIP Cyceron, Caen, France, Neurology Department, Pontchaillou University Hospital, Rennes, France – sequence: 8 givenname: Béatrice surname: Desgranges fullname: Desgranges, Béatrice organization: Neuropsychology and Imaging of Human Memory research unit, Caen-Normandy University-PSL Research University-EPHE-INSERM-Caen University Hospital, UMRS1077, GIP Cyceron, Caen, France – sequence: 9 givenname: Francis surname: Eustache fullname: Eustache, Francis organization: Neuropsychology and Imaging of Human Memory research unit, Caen-Normandy University-PSL Research University-EPHE-INSERM-Caen University Hospital, UMRS1077, GIP Cyceron, Caen, France – sequence: 10 givenname: Mickaël surname: Laisney fullname: Laisney, Mickaël organization: Neuropsychology and Imaging of Human Memory research unit, Caen-Normandy University-PSL Research University-EPHE-INSERM-Caen University Hospital, UMRS1077, GIP Cyceron, Caen, France |
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ContentType | Journal Article |
Copyright | The Author(s) (2020). Published by Oxford University Press on behalf of the Guarantors of Brain. Distributed under a Creative Commons Attribution 4.0 International License The Author(s) (2020). Published by Oxford University Press on behalf of the Guarantors of Brain. 2020 |
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Issue | 12 |
Keywords | semantic variant primary progressive aphasia emotion recognition semantic dementia semantic memory Semantic dementia |
Language | English |
License | http://creativecommons.org/licenses/by-nc/4.0 The Author(s) (2020). Published by Oxford University Press on behalf of the Guarantors of Brain. Distributed under a Creative Commons Attribution 4.0 International License: http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
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Snippet | The most recent theories of emotions have postulated that their expression and recognition depend on acquired conceptual knowledge. In other words, the... See Ibanez and Schulte (doi: 10.1093/brain/awaa392 ) for a scientific commentary on this article. Are emotions innate or do they depend on contextual – and... |
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SubjectTerms | Aged Aphasia, Primary Progressive - diagnostic imaging Aphasia, Primary Progressive - psychology Cognition Cognitive science Diffusion Tensor Imaging Emotions Facial Expression Female Gray Matter - diagnostic imaging Human health and pathology Humans Knowledge Life Sciences Linguistics Male Middle Aged Neuroimaging Neuropsychological Tests Neuroscience Original Psychiatrics and mental health Psychology Psychomotor Performance Recognition, Psychology Semantics Social Perception |
Title | When affect overlaps with concept: emotion recognition in semantic variant of primary progressive aphasia |
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