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      Diagnosing different binge‐eating disorders based on reward‐related brain activation patterns

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          Abstract

          This study addresses how visual food cues are encoded in reward related brain areas and whether this encoding might provide information to differentiate between patients suffering from eating disorders [binge‐eating disorder (BED) and bulimia nervosa (BN)], overweight controls (C‐OW), and normal‐weight controls (C‐NW). Participants passively viewed pictures of food stimuli and neutral stimuli in a cue reactivity design. Two classification analyses were conducted. First, we used multivariate pattern recognition techniques to decode the category of a currently viewed picture from local brain activity patterns. In the second analysis, we applied an ensemble classifier to predict the clinical status of subjects (BED, BN, C‐OW, and C‐NW) based on food‐related brain response patterns. The left insular cortex separated between food and neutral contents in all four groups. Patterns in the right insular cortex provided a maximum diagnostic accuracy for the separation of BED patients and C‐NW (86% accuracy, P < 10 −5, 82% sensitivity, and 90% specificity) as well as BN patients and C‐NW (78% accuracy, P = 0.001, 86% sensitivity, and 70% specificity). The right ventral striatum separated maximally between BED patients and C‐OW (71% accuracy, P = 0.013, 59% sensitivity, and 82% specificity). The right lateral orbitofrontal cortex separated maximally between BN patients and C‐OW (86% accuracy, P < 10 −4, 79% sensitivity, and 94% specificity). The best differential diagnostic separation between BED and BN patients was obtained in the left ventral striatum (84% accuracy, P < 10 −3, 82% sensitivity, and 86% specificity). Our results indicate that pattern recognition techniques are able to contribute to a reliable differential diagnosis of BN and BED. Hum Brain Mapp 33:2135–2146, 2012. © 2011 Wiley Periodicals, Inc.

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          Author and article information

          Contributors
          martin.weygandt@bccn-berlin.de
          Journal
          Hum Brain Mapp
          Hum Brain Mapp
          10.1002/(ISSN)1097-0193
          HBM
          Human Brain Mapping
          Wiley Subscription Services, Inc., A Wiley Company (Hoboken )
          1065-9471
          1097-0193
          30 August 2011
          September 2012
          : 33
          : 9 ( doiID: 10.1002/hbm.v33.9 )
          : 2135-2146
          Affiliations
          [ 1 ]Charité – University Medicine Berlin, Bernstein Center for Computational Neuroscience, Berlin, Germany
          [ 2 ]Department of Clinical and Health‐Psychology, University of Graz, Institute of Psychology, Graz, Austria
          [ 3 ]Max‐Planck‐Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
          Author notes
          [*] [* ]Charité – University Medicine, Berlin, Bernstein Center for Computational Neuroscience, Haus 6, Philippstrasse 13, 10115 Berlin
          [†]

          Anne Schienle and John‐Dylan Haynes contributed equally to this work.

          Article
          PMC6869845 PMC6869845 6869845 HBM21345
          10.1002/hbm.21345
          6869845
          22887826
          eb73ca89-c547-4c98-8c87-b028d3b5fbb5
          Copyright © 2011 Wiley Periodicals, Inc.
          Page count
          Figures: 3, Tables: 2, References: 49, Pages: 12, Words: 10336
          Funding
          Funded by: The Max Planck Society
          Funded by: A clinical research group of the German Research Foundation
          Award ID: KFO218/1
          Funded by: The Bernstein Computational Neuroscience Program of the German Federal Ministry of Education and Research
          Award ID: 01GQ0411
          Categories
          Research Article
          Research Articles
          Custom metadata
          2.0
          September 2012
          Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.2 mode:remove_FC converted:15.11.2019

          functional magnetic resonance imaging,cue reactivity,classification,bulimia nervosa,eating disorders

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