DocumentCode
139325
Title
A comparative analysis of functional connectivity data in resting and task-related conditions of the brain for disease signature of OCD
Author
Shenas, Sona Khaneh ; Halici, Ugur ; Cicek, Metehan
Author_Institution
Dept. of Biomed. Eng., Middle East Tech. Univ. (METU), Ankara, Turkey
fYear
2014
fDate
26-30 Aug. 2014
Firstpage
978
Lastpage
981
Abstract
Obsessive Compulsive Disorder (OCD) is a frequent, chronic disorder producing intrusive thoughts which results in repetitive behaviors. It is thought that this psychological disorder occurs due to abnormal functional connectivity in certain regions of the brain called Default Mode Network (DMN) mainly. Recently, functional MRI (FMRI) studies were performed in order to compare the differences in brain activity between patients with OCD and healthy individuals through different conditions of the brain. Our previous study on extraction of disease signature for OCD that is determining the features for discrimination of OCD patients from healthy individuals based on their resting-sate functional connectivity (rs-FC) data had given encouraging results. In the present study, functional data extracted from FMRI images of subjects under imagination task (maintaining an image in mind, im-FC) is considered. The aim of this study is to compare classification results achieved from both resting and task-related (imagination) conditions. This research has shown quite interesting and promising results using the same classification (SVM) method.
Keywords
biomedical MRI; brain; diseases; feature extraction; image classification; medical disorders; support vector machines; DMN; FMRI images; OCD patients; abnormal functional connectivity; brain activity; chronic disorder; default mode network; disease signature; functional MRI image; functional data extraction; image classification; obsessive compulsive disorder; psychological disorder; resting-sate functional connectivity; rs-FC data; task-related conditions; Correlation; Diseases; Feature extraction; Principal component analysis; Support vector machine classification; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location
Chicago, IL
ISSN
1557-170X
Type
conf
DOI
10.1109/EMBC.2014.6943756
Filename
6943756
Link To Document