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      The charm of structural neuroimaging in insanity evaluations: guidelines to avoid misinterpretation of the findings

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          Abstract

          Despite the popularity of structural neuroimaging techniques in twenty-first-century research, its results have had limited translational impact in real-world settings, where inferences need to be made at the individual level. Structural neuroimaging methods are now introduced frequently to aid in assessing defendants for insanity in criminal forensic evaluations, with the aim of providing “convergence” of evidence on the mens rea of the defendant. This approach may provide pivotal support for judges’ decisions. Although neuroimaging aims to reduce uncertainty and controversies in legal settings and to increase the objectivity of criminal rulings, the application of structural neuroimaging in forensic settings is hampered by cognitive biases in the evaluation of evidence that lead to misinterpretation of the imaging results. It is thus increasingly important to have clear guidelines on the correct ways to apply and interpret neuroimaging evidence. In the current paper, we review the literature concerning structural neuroimaging in court settings with the aim of identifying rules for its correct application and interpretation. These rules, which aim to decrease the risk of biases, focus on the importance of (i) descriptive diagnoses, (ii) anatomo-clinical correlation, (iii) brain plasticity and (iv) avoiding logical fallacies, such as reverse inference. In addition, through the analysis of real forensic cases, we describe errors frequently observed due to incorrect interpretations of imaging. Clear guidelines for both the correct circumstances for introducing neuroimaging and its eventual interpretation are defined

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          Studies of interference in serial verbal reactions.

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            Voxel-based morphometry--the methods.

            At its simplest, voxel-based morphometry (VBM) involves a voxel-wise comparison of the local concentration of gray matter between two groups of subjects. The procedure is relatively straightforward and involves spatially normalizing high-resolution images from all the subjects in the study into the same stereotactic space. This is followed by segmenting the gray matter from the spatially normalized images and smoothing the gray-matter segments. Voxel-wise parametric statistical tests which compare the smoothed gray-matter images from the two groups are performed. Corrections for multiple comparisons are made using the theory of Gaussian random fields. This paper describes the steps involved in VBM, with particular emphasis on segmenting gray matter from MR images with nonuniformity artifact. We provide evaluations of the assumptions that underpin the method, including the accuracy of the segmentation and the assumptions made about the statistical distribution of the data. Copyright 2000 Academic Press.
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              The FAB: A frontal assessment battery at bedside

              To devise a short bedside cognitive and behavioral battery to assess frontal lobe functions. The designed battery consists of six subtests exploring the following: conceptualization, mental flexibility, motor programming, sensitivity to interference, inhibitory control, and environmental autonomy. It takes approximately 10 minutes to administer. The authors studied 42 normal subjects and 121 patients with various degrees of frontal lobe dysfunction (PD, n = 24; multiple system atrophy, n = 6; corticobasal degeneration, n = 21; progressive supranuclear palsy, n = 47; frontotemporal dementia, n = 23). The Frontal Assessment Battery scores correlated with the Mattis Dementia Rating Scale scores (rho = 0.82, p < 0.01) and with the number of criteria (rho = 0.77, p < 0.01) and perseverative errors (rho = 0.68, p < 0.01) of the Wisconsin Card Sorting Test. These variables accounted for 79% of the variance in a stepwise multiple regression, whereas age or Mini-Mental State Examination scores had no significant influence. There was good interrater reliability (kappa = 0.87, p < 0.001), internal consistency (Cronbach's coefficient alpha = 0.78), and discriminant validity (89.1% of cases correctly identified in a discriminant analysis of patients and controls). The Frontal Assessment Battery is easy to administer at bedside and is sensitive to frontal lobe dysfunction.
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                Author and article information

                Contributors
                +39 0498276608 , cristina.scarpazza@gmail.com , cristina.scarpazza@unipd.it
                Journal
                Transl Psychiatry
                Transl Psychiatry
                Translational Psychiatry
                Nature Publishing Group UK (London )
                2158-3188
                26 October 2018
                26 October 2018
                2018
                : 8
                : 227
                Affiliations
                [1 ]ISNI 0000 0004 1757 3470, GRID grid.5608.b, Department of General Psychology, , University of Padua, ; Via Venezia 8, 35131 Padova, Italy
                [2 ]ISNI 0000 0001 2322 6764, GRID grid.13097.3c, Department of Psychosis Studies, Institute of Psychiatry, Psychosis and Neuroscience, , King’s College London, ; De Crespigny Park, London, SE5 8AF UK
                [3 ]GRID grid.7841.a, Department of Human Neuroscience, , Sapienza University of Rome, ; P.le A Moro 5, 00185 Roma, Italy
                Article
                274
                10.1038/s41398-018-0274-8
                6203853
                30367031
                bf5f346f-b651-44f7-8c0d-fdd3b9b1a2b0
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 26 February 2018
                : 24 August 2018
                : 10 September 2018
                Categories
                Review Article
                Custom metadata
                © The Author(s) 2018

                Clinical Psychology & Psychiatry
                Clinical Psychology & Psychiatry

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