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      Brain gray matter structures associated with trait impulsivity: A systematic review and voxel‐based meta‐analysis

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          Abstract

          Trait impulsivity is a multifaceted personality characteristic that contributes to maladaptive life outcomes. Although a growing body of neuroimaging studies have investigated the structural correlates of trait impulsivity, the findings remain highly inconsistent and heterogeneous. Herein, we performed a systematic review to depict an integrated delineation of gray matter (GM) substrates of trait impulsivity and a meta‐analysis to examine concurrence across previous whole‐brain voxel‐based morphometry studies. The systematic review summarized the diverse findings in GM morphometry in the past literature, and the quantitative meta‐analysis revealed impulsivity‐related volumetric GM alterations in prefrontal, temporal, and parietal cortices. In addition, we identified the modulatory effects of age and gender in impulsivity‐GM volume associations. The present study advances understanding of brain GM morphometry features underlying trait impulsivity. The findings may have practical implications in the clinical diagnosis of and intervention for impulsivity‐related disorders.

          Abstract

          To depict an integrated delineation of grey matter substrates underlying trait impulsivity, we performed a systematic review and voxel‐based meta‐analysis to uncover volumetrically correlated regions in prefrontal, temporal, and parietal cortices. The findings may have practical implications in the clinical diagnosis of and intervention for impulsivity‐related disorders.

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          Most cited references162

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          Bias in meta-analysis detected by a simple, graphical test.

          Funnel plots (plots of effect estimates against sample size) may be useful to detect bias in meta-analyses that were later contradicted by large trials. We examined whether a simple test of asymmetry of funnel plots predicts discordance of results when meta-analyses are compared to large trials, and we assessed the prevalence of bias in published meta-analyses. Medline search to identify pairs consisting of a meta-analysis and a single large trial (concordance of results was assumed if effects were in the same direction and the meta-analytic estimate was within 30% of the trial); analysis of funnel plots from 37 meta-analyses identified from a hand search of four leading general medicine journals 1993-6 and 38 meta-analyses from the second 1996 issue of the Cochrane Database of Systematic Reviews. Degree of funnel plot asymmetry as measured by the intercept from regression of standard normal deviates against precision. In the eight pairs of meta-analysis and large trial that were identified (five from cardiovascular medicine, one from diabetic medicine, one from geriatric medicine, one from perinatal medicine) there were four concordant and four discordant pairs. In all cases discordance was due to meta-analyses showing larger effects. Funnel plot asymmetry was present in three out of four discordant pairs but in none of concordant pairs. In 14 (38%) journal meta-analyses and 5 (13%) Cochrane reviews, funnel plot asymmetry indicated that there was bias. A simple analysis of funnel plots provides a useful test for the likely presence of bias in meta-analyses, but as the capacity to detect bias will be limited when meta-analyses are based on a limited number of small trials the results from such analyses should be treated with considerable caution.
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            Emotional processing in anterior cingulate and medial prefrontal cortex.

            Negative emotional stimuli activate a broad network of brain regions, including the medial prefrontal (mPFC) and anterior cingulate (ACC) cortices. An early influential view dichotomized these regions into dorsal-caudal cognitive and ventral-rostral affective subdivisions. In this review, we examine a wealth of recent research on negative emotions in animals and humans, using the example of fear or anxiety, and conclude that, contrary to the traditional dichotomy, both subdivisions make key contributions to emotional processing. Specifically, dorsal-caudal regions of the ACC and mPFC are involved in appraisal and expression of negative emotion, whereas ventral-rostral portions of the ACC and mPFC have a regulatory role with respect to limbic regions involved in generating emotional responses. Moreover, this new framework is broadly consistent with emerging data on other negative and positive emotions. Published by Elsevier Ltd.
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              Factor structure of the barratt impulsiveness scale

              The purpose of the present study was to revise the Barratt Impulsiveness Scale Version 10 (BIS-10), identify the factor structure of the items among normals, and compare their scores on the revised form (BIS-11) with psychiatric inpatients and prison inmates. The scale was administered to 412 college undergraduates, 248 psychiatric inpatients, and 73 male prison inmates. Exploratory principal components analysis of the items identified six primary factors and three second-order factors. The three second-order factors were labeled Attentional Impulsiveness, Motor Impulsiveness, and Nonplanning Impulsiveness. Two of the three second-order factors identified in the BIS-11 were consistent with those proposed by Barratt (1985), but no cognitive impulsiveness component was identified per se. The results of the present study suggest that the total score of the BIS-11 is an internally consistent measure of impulsiveness and has potential clinical utility for measuring impulsiveness among selected patient and inmate populations.
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                Author and article information

                Contributors
                qiyonggong@hmrrc.org.cn
                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
                18 February 2021
                May 2021
                : 42
                : 7 ( doiID: 10.1002/hbm.v42.7 )
                : 2214-2235
                Affiliations
                [ 1 ] Huaxi MR Research Center (HMRRC), Department of Radiology West China Hospital of Sichuan University Chengdu China
                [ 2 ] Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
                [ 3 ] Functional & Molecular Imaging Key Laboratory of Sichuan Province West China Hospital of Sichuan University Chengdu China
                [ 4 ] School of Education and Psychology Southwest Minzu University Chengdu China
                [ 5 ] College of Teacher Education Dali University Dali China
                [ 6 ] Department of Biomedical Engineering New Jersey Institute of Technology Newark New Jersey USA
                [ 7 ] The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation University of Electronic Science and Technology of China Chengdu China
                [ 8 ] Department of Psychiatry University of Cincinnati Cincinnati Ohio USA
                Author notes
                [*] [* ] Correspondence

                Qiyong Gong, Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, Chengdu 610041, P.R. China.

                Email: qiyonggong@ 123456hmrrc.org.cn

                Nanfang Pan and Song Wang contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-5651-556X
                https://orcid.org/0000-0002-0776-2505
                https://orcid.org/0000-0002-5912-4871
                Article
                HBM25361
                10.1002/hbm.25361
                8046062
                33599347
                71b93eea-9c9a-47ff-9e77-a27ba3357326
                © 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-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 27 December 2020
                : 16 October 2020
                : 22 January 2021
                Page count
                Figures: 4, Tables: 4, Pages: 22, Words: 17129
                Funding
                Funded by: China Postdoctoral Science Foundation , open-funder-registry 10.13039/501100002858;
                Award ID: 2019M653421
                Funded by: National Natural Science Foundation of China , open-funder-registry 10.13039/501100001809;
                Award ID: 31800963
                Award ID: 81621003
                Award ID: 81820108018
                Award ID: 82027808
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                May 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.2 mode:remove_FC converted:14.04.2021

                Neurology
                attention‐deficit/hyperactivity disorder,borderline personality disorder,gray matter,impulsivity,magnetic resonance imaging,meta‐analysis,psychoradiology,voxel‐based morphometry

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