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      Social cognition in the blind brain: A coordinate‐based meta‐analysis

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          Abstract

          Social cognition skills are typically acquired on the basis of visual information (e.g., the observation of gaze, facial expressions, gestures). In light of this, a critical issue is whether and how the lack of visual experience affects neurocognitive mechanisms underlying social skills. This issue has been largely neglected in the literature on blindness, despite difficulties in social interactions may be particular salient in the life of blind individuals (especially children). Here we provide a meta‐analysis of neuroimaging studies reporting brain activations associated to the representation of self and others' in early blind individuals and in sighted controls. Our results indicate that early blindness does not critically impact on the development of the “social brain,” with social tasks performed on the basis of auditory or tactile information driving consistent activations in nodes of the action observation network, typically active during actual observation of others in sighted individuals. Interestingly though, activations along this network appeared more left‐lateralized in the blind than in sighted participants. These results may have important implications for the development of specific training programs to improve social skills in blind children and young adults.

          Abstract

          Social cognition skills are typically acquired on the basis of visual information. Here we provide a meta‐analysis of neuroimaging studies reporting brain activations associated to the representation of self and others' in early blind individuals and in sighted controls. Our results indicate that early blindness does not critically impact on the development of the “social brain,” with social tasks performed on the basis of auditory or tactile information driving consistent activations in nodes of the action observation network, typically active during actual observation of others in sighted individuals.

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          Power failure: why small sample size undermines the reliability of neuroscience.

          A study with low statistical power has a reduced chance of detecting a true effect, but it is less well appreciated that low power also reduces the likelihood that a statistically significant result reflects a true effect. Here, we show that the average statistical power of studies in the neurosciences is very low. The consequences of this include overestimates of effect size and low reproducibility of results. There are also ethical dimensions to this problem, as unreliable research is inefficient and wasteful. Improving reproducibility in neuroscience is a key priority and requires attention to well-established but often ignored methodological principles.
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            Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates

            The most widely used task functional magnetic resonance imaging (fMRI) analyses use parametric statistical methods that depend on a variety of assumptions. In this work, we use real resting-state data and a total of 3 million random task group analyses to compute empirical familywise error rates for the fMRI software packages SPM, FSL, and AFNI, as well as a nonparametric permutation method. For a nominal familywise error rate of 5%, the parametric statistical methods are shown to be conservative for voxelwise inference and invalid for clusterwise inference. Our results suggest that the principal cause of the invalid cluster inferences is spatial autocorrelation functions that do not follow the assumed Gaussian shape. By comparison, the nonparametric permutation test is found to produce nominal results for voxelwise as well as clusterwise inference. These findings speak to the need of validating the statistical methods being used in the field of neuroimaging.
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              The many faces of configural processing.

              Adults' expertise in recognizing faces has been attributed to configural processing. We distinguish three types of configural processing: detecting the first-order relations that define faces (i.e. two eyes above a nose and mouth), holistic processing (glueing the features together into a gestalt), and processing second-order relations (i.e. the spacing among features). We provide evidence for their separability based on behavioral marker tasks, their sensitivity to experimental manipulations, and their patterns of development. We note that inversion affects each type of configural processing, not just sensitivity to second-order relations, and we review evidence on whether configural processing is unique to faces.
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                Author and article information

                Contributors
                zaira.cattaneo@unimib.it
                Journal
                Hum Brain Mapp
                Hum Brain Mapp
                10.1002/(ISSN)1097-0193
                HBM
                Human Brain Mapping
                John Wiley & Sons, Inc. (Hoboken, USA )
                1065-9471
                1097-0193
                15 December 2020
                1 April 2021
                : 42
                : 5 ( doiID: 10.1002/hbm.v42.5 )
                : 1243-1256
                Affiliations
                [ 1 ] Department of Psychology University of Milano‐Bicocca Milan Italy
                [ 2 ] IMT School for Advanced Studies Lucca Lucca Italy
                [ 3 ] IRCCS Mondino Foundation Pavia Italy
                Author notes
                [*] [* ] Correspondence

                Zaira Cattaneo, Department of Psychology, University of Milano‐Bicocca, Milan, Italy.

                Email: zaira.cattaneo@ 123456unimib.it

                Author information
                https://orcid.org/0000-0001-7516-7508
                Article
                HBM25289
                10.1002/hbm.25289
                7927293
                33320395
                bfbf0737-f563-4a5e-8bb8-8d062f9e354a
                © 2020 The Authors. Human Brain Mapping published by 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
                : 29 June 2020
                : 05 October 2020
                : 31 October 2020
                Page count
                Figures: 3, Tables: 6, Pages: 14, Words: 12920
                Funding
                Funded by: Mondino Foundation “Ricerca Corrente”
                Funded by: Italian Ministry of Education University and Research
                Award ID: 201755TKFE
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                April 1, 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.9 mode:remove_FC converted:03.03.2021

                Neurology
                action observation network,activation likelihood estimation,blind,functional magnetic resonance imaging,meta‐analysis,social cognition

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