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      Inter-individual differences in empathy are reflected in human brain structure

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          Abstract

          Empathy is a multi-faceted concept consisting of our ability not only to share emotions but also to exert cognitive control and perspective taking in our interactions with others. Here we examined whether inter-individual variability in different components of empathy was related to differences in brain structure assessed using voxel-based morphometry. Following a magnetic resonance imaging (MRI) scan, participants completed the Interpersonal Reactivity Index (IRI). Multiple regression was then used to assess the relationship between individual differences in grey matter volume and individual differences in empathy traits. We found that individual differences in affective empathic abilities oriented towards another person were negatively correlated with grey matter volume in the precuneus, inferior frontal gyrus, and anterior cingulate. Differences in self-oriented affective empathy were negatively correlated with grey matter volume of the somatosensory cortex, but positively correlated with volume in the insula; cognitive perspective taking abilities were positively correlated with grey matter volume of the anterior cingulate; and the ability to empathise with fictional characters was positively related to grey matter changes in the right dorsolateral prefrontal cortex. These findings are discussed in relation to neurocognitive models of empathy.

          Highlights

          ► We studied how individual variability in empathy is linked to brain structure. ► Affective empathy was linked to changes in the precuneus and anterior cingulate. ► Changes in the inferior frontal gyrus were also linked with affective empathy. ► Perspective taking was related to changes in the anterior cingulate. ► Personal distress was linked to changes in the somatosensory cortex and insula.

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          Most cited references51

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          Empathy for pain involves the affective but not sensory components of pain.

          Our ability to have an experience of another's pain is characteristic of empathy. Using functional imaging, we assessed brain activity while volunteers experienced a painful stimulus and compared it to that elicited when they observed a signal indicating that their loved one--present in the same room--was receiving a similar pain stimulus. Bilateral anterior insula (AI), rostral anterior cingulate cortex (ACC), brainstem, and cerebellum were activated when subjects received pain and also by a signal that a loved one experienced pain. AI and ACC activation correlated with individual empathy scores. Activity in the posterior insula/secondary somatosensory cortex, the sensorimotor cortex (SI/MI), and the caudal ACC was specific to receiving pain. Thus, a neural response in AI and rostral ACC, activated in common for "self" and "other" conditions, suggests that the neural substrate for empathic experience does not involve the entire "pain matrix." We conclude that only that part of the pain network associated with its affective qualities, but not its sensory qualities, mediates empathy.
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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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              A unified statistical approach for determining significant signals in images of cerebral activation.

              We present a unified statistical theory for assessing the significance of apparent signal observed in noisy difference images. The results are usable in a wide range of applications, including fMRI, but are discussed with particular reference to PET images which represent changes in cerebral blood flow elicited by a specific cognitive or sensorimotor task. Our main result is an estimate of the P-value for local maxima of Gaussian, t, chi(2) and F fields over search regions of any shape or size in any number of dimensions. This unifies the P-values for large search areas in 2-D (Friston et al. [1991]: J Cereb Blood Flow Metab 11:690-699) large search regions in 3-D (Worsley et al. [1992]: J Cereb Blood Flow Metab 12:900-918) and the usual uncorrected P-value at a single pixel or voxel. Copyright (c) 1996 Wiley-Liss, Inc.
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                Author and article information

                Journal
                Neuroimage
                Neuroimage
                Neuroimage
                Academic Press
                1053-8119
                1095-9572
                1 September 2012
                September 2012
                : 62
                : 3
                : 2034-2039
                Affiliations
                [a ]Department of Psychology, Goldsmiths, University of London, London, SE14 6NW, UK
                [b ]UCL Institute of Cognitive Neuroscience, 17 Queen Square, London, UK
                [c ]Wellcome Trust Centre for Neuroimaging, University College London, 12 Queen Square, London WC1N 3BG, UK
                Author notes
                [* ]Corresponding author at: Department of Psychology, Goldsmiths, University of London, New Cross, London, SE14 6NW, UK. m.banissy@ 123456gold.ac.uk
                Article
                S1053-8119(12)00569-1
                10.1016/j.neuroimage.2012.05.081
                3778747
                22683384
                af7fc07a-128b-44e1-8e1a-795ea8ee623c
                © 2012 Elsevier Inc.

                This document may be redistributed and reused, subject to certain conditions.

                History
                : 29 May 2012
                Categories
                Article

                Neurosciences
                voxel based morphometry,empathy,interpersonal reactivity index,individual differences,social neuroscience,structure

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