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      Lenticular nucleus correlates of general self-efficacy in young adults

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          Abstract

          General self-efficacy (GSE) is an important factor in education, social participation, and medical treatment. However, the only study that has investigated the direct association between GSE and a neural correlate did not identify specific brain regions, rather only assessed brain structures, and included older adult subjects. GSE is related to motivation, physical activity, learning, the willingness to initiate behaviour and expend effort, and adjustment. Thus, it was hypothesized in the present study that the neural correlates of GSE might be related to changes in the basal ganglia, which is a region related to the abovementioned self-efficacy factors. This study aimed to identify the brain structures associated with GSE in healthy young adults ( n = 1204, 691 males and 513 females, age 20.7 ± 1.8 years) using regional grey matter density and volume (rGMD and rGMV), fractional anisotropy (FA) and mean diffusivity (MD) analyses of magnetic resonance imaging (MRI) data. The findings showed that scores on the GSE Scale (GSES) were associated with a lower MD value in regions from the right putamen to the globus pallidum; however, there were no significant association between GSES scores and regional brain structures using the other analyses (rGMD, rGMV, and FA). Thus, the present findings indicated that the lenticular nucleus is a neural correlate of GSE.

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          The online version of this article (doi:10.1007/s00429-017-1406-2) contains supplementary material, which is available to authorized users.

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          Self-efficacy: Toward a unifying theory of behavioral change.

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            SPSS and SAS procedures for estimating indirect effects in simple mediation models

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              Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference.

              Many image enhancement and thresholding techniques make use of spatial neighbourhood information to boost belief in extended areas of signal. The most common such approach in neuroimaging is cluster-based thresholding, which is often more sensitive than voxel-wise thresholding. However, a limitation is the need to define the initial cluster-forming threshold. This threshold is arbitrary, and yet its exact choice can have a large impact on the results, particularly at the lower (e.g., t, z < 4) cluster-forming thresholds frequently used. Furthermore, the amount of spatial pre-smoothing is also arbitrary (given that the expected signal extent is very rarely known in advance of the analysis). In the light of such problems, we propose a new method which attempts to keep the sensitivity benefits of cluster-based thresholding (and indeed the general concept of "clusters" of signal), while avoiding (or at least minimising) these problems. The method takes a raw statistic image and produces an output image in which the voxel-wise values represent the amount of cluster-like local spatial support. The method is thus referred to as "threshold-free cluster enhancement" (TFCE). We present the TFCE approach and discuss in detail ROC-based optimisation and comparisons with cluster-based and voxel-based thresholding. We find that TFCE gives generally better sensitivity than other methods over a wide range of test signal shapes and SNR values. We also show an example on a real imaging dataset, suggesting that TFCE does indeed provide not just improved sensitivity, but richer and more interpretable output than cluster-based thresholding.
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                Author and article information

                Contributors
                +81 22 717 7988 , seishu.nakagawa.e8@tohoku.ac.jp
                Journal
                Brain Struct Funct
                Brain Struct Funct
                Brain Structure & Function
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                1863-2653
                1863-2661
                28 March 2017
                28 March 2017
                2017
                : 222
                : 7
                : 3309-3318
                Affiliations
                [1 ]Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan
                [2 ]ISNI 0000 0001 2248 6943, GRID grid.69566.3a, Department of Human Brain Science, Institute of Development, Ageing and Cancer, , Tohoku University, ; 4-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575 Japan
                [3 ]ISNI 0000 0001 2248 6943, GRID grid.69566.3a, Division of Developmental Cognitive Neuroscience, Institute of Development, Ageing and Cancer, , Tohoku University, ; Sendai, Japan
                [4 ]ISNI 0000 0001 2248 6943, GRID grid.69566.3a, Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, , Tohoku University, ; Sendai, Japan
                [5 ]ISNI 0000 0001 2248 6943, GRID grid.69566.3a, Department of Nuclear Medicine and Radiology, Institute of Development, Ageing and Cancer, , Tohoku University, ; Sendai, Japan
                [6 ]ISNI 0000 0001 2248 6943, GRID grid.69566.3a, Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science (FRIS), , Tohoku University, ; Sendai, Japan
                [7 ]ISNI 0000 0001 2248 6943, GRID grid.69566.3a, Smart Ageing International Research Center, Institute of Development, Ageing and Cancer, , Tohoku University, ; Sendai, Japan
                [8 ]ISNI 0000 0004 1763 8916, GRID grid.419280.6, Department of Adult Mental Health, National Institute of Mental Health, , National Center of Neurology and Psychiatry, ; Kodaira, Tokyo Japan
                [9 ]ISNI 0000 0001 2248 6943, GRID grid.69566.3a, Department of Psychiatry, , Tohoku University Graduate School of Medicine, ; Sendai, Japan
                [10 ]ISNI 0000 0001 1092 3077, GRID grid.31432.37, School of Medicine, , Kobe University, ; Kobe, Japan
                [11 ]ISNI 0000 0004 0614 710X, GRID grid.54432.34, Japan Society for the Promotion of Science, ; Tokyo, Japan
                [12 ]Advantage Risk Management Co., Ltd, Tokyo, Japan
                [13 ]ISNI 0000 0001 2151 536X, GRID grid.26999.3d, Graduate School of Arts and Sciences, , The University of Tokyo, ; Tokyo, Japan
                [14 ]ISNI 0000 0004 1936 8542, GRID grid.6571.5, National Centre for Sport and Exercise Medicine (NCSEM), , Loughborough University, ; Leicester, UK
                [15 ]The NIHR Leicester-Loughborough Diet, Lifestyle and Physical Activity Biomedical Research Unit, Leicester, UK
                [16 ]ISNI 0000 0004 1936 8542, GRID grid.6571.5, School of Sport, Exercise, and Health Sciences, , Loughborough University, ; Leicester, UK
                [17 ]ISNI 0000 0001 2248 6943, GRID grid.69566.3a, Advanced Brain Science, Institute of Development, Aging and Cancer, , Tohoku University, ; Sendai, Japan
                Article
                1406
                10.1007/s00429-017-1406-2
                5585303
                28353199
                a941d512-74fe-4c93-941a-273a298f289a
                © The Author(s) 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 31 July 2016
                : 13 March 2017
                Funding
                Funded by: the Ministry of Education, Culture, Sports, Science, and Technology, and Health Science Center Foundation, Japan
                Award ID: KAKENHI 23700306, KAKENHI 25700012
                Award Recipient :
                Categories
                Original Article
                Custom metadata
                © Springer-Verlag GmbH Germany 2017

                Neurology
                general self-efficacy,mean diffusivity,pallidus,putamen
                Neurology
                general self-efficacy, mean diffusivity, pallidus, putamen

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