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      Reexamining empathy in autism: Empathic disequilibrium as a novel predictor of autism diagnosis and autistic traits

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          Abstract

          A large body of research showed that autistic people have intact emotional (affective) empathy alongside reduced cognitive empathy. However, there are mixed findings and these call for a more subtle understanding of empathy in autism. Empathic disequilibrium refers to the imbalance between emotional and cognitive empathy and is associated with a higher number of autistic traits in the typical population. Here we examined whether empathic disequilibrium predicts both the number of autistic traits and autism diagnosis. In a large sample of autistic ( N = 1905) and typical individuals ( N = 3009), we examined empathic disequilibrium and empathy as predictors of autistic traits and autism diagnosis, using a polynomial regression with response surface analysis. Empathy and autistic traits were measured using validated self‐report questionnaires. Both empathic disequilibrium and empathy predicted linearly and non‐linearly autism diagnosis and autistic traits. Specifically, a tendency towards higher emotional than cognitive empathy (empathic disequilibrium towards emotional empathy) predicted both autism diagnosis and the social domain of autistic traits, while higher cognitive than emotional empathy was associated with the non‐social domain of autism. Empathic disequilibrium was also more prominent in autistic females. This study provides evidence that beyond empathy as was measured thus far, empathic disequilibrium offers a novel analytical approach for examining the role of empathy. Empathic disequilibrium allows for a more nuanced understanding of the links between empathy and autism.

          Lay summary

          Many autistic individuals report feelings of excessive empathy, yet their experience is not reflected by most of the current literature, typically suggesting that autism is characterized by intact emotional and reduced cognitive empathy. To fill this gap, we looked at both ends of the imbalance between these components, termed empathic disequilibrium. We show that, like empathy, empathic disequilibrium is related to autism diagnosis and traits, and thus may provide a more nuanced understanding of empathy and its link with autism.

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          Diagnostic and Statistical Manual of Mental Disorders

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            The autism-spectrum quotient (AQ): evidence from Asperger syndrome/high-functioning autism, males and females, scientists and mathematicians.

            Currently there are no brief, self-administered instruments for measuring the degree to which an adult with normal intelligence has the traits associated with the autistic spectrum. In this paper, we report on a new instrument to assess this: the Autism-Spectrum Quotient (AQ). Individuals score in the range 0-50. Four groups of subjects were assessed: Group 1: 58 adults with Asperger syndrome (AS) or high-functioning autism (HFA); Group 2: 174 randomly selected controls. Group 3: 840 students in Cambridge University; and Group 4: 16 winners of the UK Mathematics Olympiad. The adults with AS/HFA had a mean AQ score of 35.8 (SD = 6.5), significantly higher than Group 2 controls (M = 16.4, SD = 6.3). 80% of the adults with AS/HFA scored 32+, versus 2% of controls. Among the controls, men scored slightly but significantly higher than women. No women scored extremely highly (AQ score 34+) whereas 4% of men did so. Twice as many men (40%) as women (21%) scored at intermediate levels (AQ score 20+). Among the AS/HFA group, male and female scores did not differ significantly. The students in Cambridge University did not differ from the randomly selected control group, but scientists (including mathematicians) scored significantly higher than both humanities and social sciences students, confirming an earlier study that autistic conditions are associated with scientific skills. Within the sciences, mathematicians scored highest. This was replicated in Group 4, the Mathematics Olympiad winners scoring significantly higher than the male Cambridge humanities students. 6% of the student sample scored 32+ on the AQ. On interview, 11 out of 11 of these met three or more DSM-IV criteria for AS/HFA, and all were studying sciences/mathematics, and 7 of the 11 met threshold on these criteria. Test-retest and interrater reliability of the AQ was good. The AQ is thus a valuable instrument for rapidly quantifying where any given individual is situated on the continuum from autism to normality. Its potential for screening for autism spectrum conditions in adults of normal intelligence remains to be fully explored.
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              The functional architecture of human empathy.

              Empathy accounts for the naturally occurring subjective experience of similarity between the feelings expressed by self and others without loosing sight of whose feelings belong to whom. Empathy involves not only the affective experience of the other person's actual or inferred emotional state but also some minimal recognition and understanding of another's emotional state. In light of multiple levels of analysis ranging from developmental psychology, social psychology, cognitive neuroscience, and clinical neuropsychology, this article proposes a model of empathy that involves parallel and distributed processing in a number of dissociable computational mechanisms. Shared neural representations, self-awareness, mental flexibility, and emotion regulation constitute the basic macrocomponents of empathy, which are underpinned by specific neural systems. This functional model may be used to make specific predictions about the various empathy deficits that can be encountered in different forms of social and neurological disorders.
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                Author and article information

                Contributors
                florina@bgu.ac.il
                Journal
                Autism Res
                Autism Res
                10.1002/(ISSN)1939-3806
                AUR
                Autism Research
                John Wiley & Sons, Inc. (Hoboken, USA )
                1939-3792
                1939-3806
                20 August 2022
                October 2022
                : 15
                : 10 ( doiID: 10.1002/aur.v15.10 )
                : 1917-1928
                Affiliations
                [ 1 ] Psychology Department Ben Gurion University of the Negev Beer‐Sheba Israel
                [ 2 ] Zlotowski Center for Neuroscience Ben Gurion University of the Negev Beer‐Sheba Israel
                [ 3 ] Department of Psychiatry, Autism Research Centre University of Cambridge Cambridge UK
                [ 4 ] Interdisciplinary Department of Social Sciences and Department of Music Bar‐Ilan University Ramat Gan Israel
                [ 5 ] Life Sciences Department Ben Gurion University of the Negev Beer‐Sheba Israel
                [ 6 ] Computational Health Informatics Program Boston Children's Hospital Boston Massachusetts USA
                Author notes
                [*] [* ] Correspondence

                Florina Uzefovsky, Psychology Department, Ben Gurion University of the Negev, Be'er Sheba 84105, Israel.

                Email: florina@ 123456bgu.ac.il

                Author information
                https://orcid.org/0000-0002-2034-4527
                https://orcid.org/0000-0003-4571-2514
                Article
                AUR2794
                10.1002/aur.2794
                9804307
                36053924
                71d14ba9-d65d-474e-be02-07f02f5a9f18
                © 2022 The Authors. Autism Research published by International Society for Autism Research and Wiley Periodicals LLC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 18 March 2022
                : 08 August 2022
                Page count
                Figures: 4, Tables: 4, Pages: 12, Words: 9680
                Funding
                Funded by: Autism Research Trust
                Funded by: Innovative Medicines Initiative , doi 10.13039/501100010767;
                Award ID: 777394
                Funded by: Israel Science Foundation , doi 10.13039/501100003977;
                Award ID: 449/14
                Funded by: Kreitman School of Advanced Graduate Studies, Ben‐Gurion University of the Negev , doi 10.13039/501100014385;
                Funded by: Medical Research Council , doi 10.13039/501100007155;
                Funded by: National Institute for Psychobiology in Israel, Hebrew University of Jerusalem , doi 10.13039/501100001739;
                Funded by: Peterborough NHS Foundation Trust
                Funded by: Simons Foundation Autism Research Initiative , doi 10.13039/100014370;
                Funded by: Templeton World Charitable Fund
                Funded by: Wellcome Trust , doi 10.13039/100010269;
                Award ID: 214322\Z\18\Z
                Funded by: Department of Health , doi 10.13039/501100003921;
                Funded by: Health Research , doi 10.13039/100005622;
                Funded by: National Institute for Health Research , doi 10.13039/501100000272;
                Funded by: Biomedical Research Centre , doi 10.13039/100014461;
                Funded by: AUTISM SPEAKS , doi 10.13039/100000073;
                Funded by: Horizon 2020 , doi 10.13039/100010661;
                Funded by: European Union , doi 10.13039/501100000780;
                Funded by: Ben‐Gurion University of the Negev , doi 10.13039/501100005005;
                Categories
                Research Article
                PSYCHOLOGY
                Research Articles
                Custom metadata
                2.0
                October 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.3 mode:remove_FC converted:31.12.2022

                cognitive,empathy,autism,emotional empathy,response surface analysis

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