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      Ignore the faces: Neural characterisation of emotional inhibition from childhood to adulthood using MEG

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          Abstract

          The ability to effectively and automatically regulate one's response to emotional information is a basic, fundamental skill for social functioning. The neural mechanisms underlying emotion regulation processing have been assessed, however few investigations have leveraged neurophysiological techniques, particularly magnetoencephalography (MEG) to determine the development of this critical ability. The current MEG study is the first to examine developmental changes in the neural mechanisms supporting automatic emotion regulation. We used an emotional go/no‐go task with happy and angry faces in a single‐site cohort of 97 healthy participants, 4–40 years of age. We found age‐related changes as a function of emotion and condition in brain regions key to emotion regulation, including the right inferior frontal gyrus, orbitofrontal cortices and primarily right‐lateralized temporal areas. Interaction effects, including an age by emotion and condition, were also found in the left angular gyrus, an area critical in emotion regulation and attention. Findings demonstrate protracted and nonlinear development, due to the adolescent group, of emotion regulation processing from child to adulthood, and highlight that age‐related differences in emotion regulation are modulated by emotional face type.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain.

            An anatomical parcellation of the spatially normalized single-subject high-resolution T1 volume provided by the Montreal Neurological Institute (MNI) (D. L. Collins et al., 1998, Trans. Med. Imag. 17, 463-468) was performed. The MNI single-subject main sulci were first delineated and further used as landmarks for the 3D definition of 45 anatomical volumes of interest (AVOI) in each hemisphere. This procedure was performed using a dedicated software which allowed a 3D following of the sulci course on the edited brain. Regions of interest were then drawn manually with the same software every 2 mm on the axial slices of the high-resolution MNI single subject. The 90 AVOI were reconstructed and assigned a label. Using this parcellation method, three procedures to perform the automated anatomical labeling of functional studies are proposed: (1) labeling of an extremum defined by a set of coordinates, (2) percentage of voxels belonging to each of the AVOI intersected by a sphere centered by a set of coordinates, and (3) percentage of voxels belonging to each of the AVOI intersected by an activated cluster. An interface with the Statistical Parametric Mapping package (SPM, J. Ashburner and K. J. Friston, 1999, Hum. Brain Mapp. 7, 254-266) is provided as a freeware to researchers of the neuroimaging community. We believe that this tool is an improvement for the macroscopical labeling of activated area compared to labeling assessed using the Talairach atlas brain in which deformations are well known. However, this tool does not alleviate the need for more sophisticated labeling strategies based on anatomical or cytoarchitectonic probabilistic maps.
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              Large-scale brain networks and psychopathology: a unifying triple network model.

              The science of large-scale brain networks offers a powerful paradigm for investigating cognitive and affective dysfunction in psychiatric and neurological disorders. This review examines recent conceptual and methodological developments which are contributing to a paradigm shift in the study of psychopathology. I summarize methods for characterizing aberrant brain networks and demonstrate how network analysis provides novel insights into dysfunctional brain architecture. Deficits in access, engagement and disengagement of large-scale neurocognitive networks are shown to play a prominent role in several disorders including schizophrenia, depression, anxiety, dementia and autism. Synthesizing recent research, I propose a triple network model of aberrant saliency mapping and cognitive dysfunction in psychopathology, emphasizing the surprising parallels that are beginning to emerge across psychiatric and neurological disorders. Copyright © 2011 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                marlee.vandewouw@sickkids.ca
                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
                28 September 2021
                1 December 2021
                : 42
                : 17 ( doiID: 10.1002/hbm.v42.17 )
                : 5747-5760
                Affiliations
                [ 1 ] Department of Diagnostic Imaging Hospital for Sick Children Toronto Canada
                [ 2 ] Program in Neurosciences & Mental Health Hospital for Sick Children Toronto Canada
                [ 3 ] Autism Research Centre, Bloorview Research Institute Holland Bloorview Kids Rehabilitation Hospital Toronto Ontario Canada
                [ 4 ] Institute of Biomedical Engineering University of Toronto Toronto Canada
                [ 5 ] Department of Psychology University of Toronto Toronto Canada
                [ 6 ] Neuropsychology and Functional Neuroimaging Research Group at CRCN, Center for Research in Cognition and Neurosciences ULB Neurosciences Institute, Université Libre de Bruxelles Brussels Belgium
                [ 7 ] Laboratoire de Cartographie Fonctionnelle du Cerveau, ULB Neuroscience Institute Université Libre de Bruxelles Brussels Belgium
                [ 8 ] Division of Neurology Hospital for Sick Children Toronto Canada
                [ 9 ] Department of Medical Imaging University of Toronto Toronto Canada
                Author notes
                [*] [* ] Correspondence

                Marlee M. Vandewouw, Diagnostic Imaging, Hospital for Sick Children, 555 University Ave, Toronto, ON M5G 1X8, Canada.

                Email: marlee.vandewouw@ 123456sickkids.ca

                Article
                HBM25651
                10.1002/hbm.25651
                8559465
                34582067
                e84b7dfb-4d16-4dc8-9b50-95a9c16a52d3
                © 2021 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
                : 12 August 2021
                : 01 March 2021
                : 19 August 2021
                Page count
                Figures: 4, Tables: 3, Pages: 14, Words: 11518
                Funding
                Funded by: Defence Research and Development Canada , doi 10.13039/100012114;
                Award ID: W7719–135182/001/TOR
                Funded by: Canadian Institutes of Health Research , doi 10.13039/501100000024;
                Award ID: 119541
                Funded by: Ontario Brain Institute , doi 10.13039/100008914;
                Award ID: IDS‐I l‐02
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                December 1, 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.8 mode:remove_FC converted:01.11.2021

                Neurology
                automatic emotion regulation,development,emotional go/no‐go,magnetoencephalography
                Neurology
                automatic emotion regulation, development, emotional go/no‐go, magnetoencephalography

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