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      Multisensory Integration of Emotion in Schizophrenic Patients

      1 , 1 , 2
      Multisensory Research
      Brill

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          Abstract

          Multisensory integration (MSI) of emotion has been increasingly recognized as an essential element of schizophrenic patients’ impairments, leading to the breakdown of their interpersonal functioning. The present review provides an updated synopsis of schizophrenics’ MSI abilities in emotion processing by examining relevant behavioral and neurological research. Existing behavioral studies have adopted well-established experimental paradigms to investigate how participants understand multisensory emotion stimuli, and interpret their reciprocal interactions. Yet it remains controversial with regard to congruence-induced facilitation effects, modality dominance effects, and generalized vs specific impairment hypotheses. Such inconsistencies are likely due to differences and variations in experimental manipulations, participants’ clinical symptomatology, and cognitive abilities. Recent electrophysiological and neuroimaging research has revealed aberrant indices in event-related potential (ERP) and brain activation patterns, further suggesting impaired temporal processing and dysfunctional brain regions, connectivity and circuities at different stages of MSI in emotion processing. The limitations of existing studies and implications for future MSI work are discussed in light of research designs and techniques, study samples and stimuli, and clinical applications.

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          Most cited references190

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          Studies of interference in serial verbal reactions.

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            Large-scale automated synthesis of human functional neuroimaging data

            The explosive growth of the human neuroimaging literature has led to major advances in understanding of human brain function, but has also made aggregation and synthesis of neuroimaging findings increasingly difficult. Here we describe and validate an automated brain mapping framework that uses text mining, meta-analysis and machine learning techniques to generate a large database of mappings between neural and cognitive states. We demonstrate the capacity of our approach to automatically conduct large-scale, high-quality neuroimaging meta-analyses, address long-standing inferential problems in the neuroimaging literature, and support accurate ‘decoding’ of broad cognitive states from brain activity in both entire studies and individual human subjects. Collectively, our results validate a powerful and generative framework for synthesizing human neuroimaging data on an unprecedented scale.
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              Neural systems for recognizing emotion.

              Recognition of emotion draws on a distributed set of structures that include the occipitotemporal neocortex, amygdala, orbitofrontal cortex and right frontoparietal cortices. Recognition of fear may draw especially on the amygdala and the detection of disgust may rely on the insula and basal ganglia. Two important mechanisms for recognition of emotions are the construction of a simulation of the observed emotion in the perceiver, and the modulation of sensory cortices via top-down influences.
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                Author and article information

                Journal
                Multisensory Research
                Multisens. Res.
                Brill
                2213-4794
                2213-4808
                September 15 2020
                September 15 2020
                : 33
                : 8
                : 865-901
                Affiliations
                [1 ]1Speech–Language–Hearing Center, School of Foreign Languages, Shanghai Jiao Tong University, 800 Dong Chuan Rd., Minhang District, Shanghai, 200240, China
                [2 ]2Department of Speech–Language–Hearing Sciences & Center for Neurobehavioral Development, University of Minnesota, Twin Cities, MN 55455, USA
                Article
                10.1163/22134808-bja10016
                33706267
                686bad6a-47ea-40ba-93e7-b7f8e12353ee
                © 2020
                History

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