Biomarkers of Eating Disorders Using Support Vector Machine Analysis of Structural Neuroimaging Data: Preliminary Results
Joint Authors
Salvatore, Christian
Cerasa, Antonio
Funaro, Angela
Martino, Iolanda
Alfano, Stefania
Donzuso, Giulia
Perrotta, Paolo
Gioia, Maria Cecilia
Quattrone, Aldo
Castiglioni, Isabella
Gilardi, Maria Carla
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-18
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Presently, there are no valid biomarkers to identify individuals with eating disorders (ED).
The aim of this work was to assess the feasibility of a machine learning method for extracting reliable neuroimaging features allowing individual categorization of patients with ED.
Support Vector Machine (SVM) technique, combined with a pattern recognition method, was employed utilizing structural magnetic resonance images.
Seventeen females with ED (six with diagnosis of anorexia nervosa and 11 with bulimia nervosa) were compared against 17 body mass index-matched healthy controls (HC).
Machine learning allowed individual diagnosis of ED versus HC with an Accuracy ≥ 0.80.
Voxel-based pattern recognition analysis demonstrated that voxels influencing the classification Accuracy involved the occipital cortex, the posterior cerebellar lobule, precuneus, sensorimotor/premotor cortices, and the medial prefrontal cortex, all critical regions known to be strongly involved in the pathophysiological mechanisms of ED.
Although these findings should be considered preliminary given the small size investigated, SVM analysis highlights the role of well-known brain regions as possible biomarkers to distinguish ED from HC at an individual level, thus encouraging the translational implementation of this new multivariate approach in the clinical practice.
American Psychological Association (APA)
Cerasa, Antonio& Castiglioni, Isabella& Salvatore, Christian& Funaro, Angela& Martino, Iolanda& Alfano, Stefania…[et al.]. 2015. Biomarkers of Eating Disorders Using Support Vector Machine Analysis of Structural Neuroimaging Data: Preliminary Results. Behavioural Neurology،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057591
Modern Language Association (MLA)
Cerasa, Antonio…[et al.]. Biomarkers of Eating Disorders Using Support Vector Machine Analysis of Structural Neuroimaging Data: Preliminary Results. Behavioural Neurology No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1057591
American Medical Association (AMA)
Cerasa, Antonio& Castiglioni, Isabella& Salvatore, Christian& Funaro, Angela& Martino, Iolanda& Alfano, Stefania…[et al.]. Biomarkers of Eating Disorders Using Support Vector Machine Analysis of Structural Neuroimaging Data: Preliminary Results. Behavioural Neurology. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057591
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057591