Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A Comparative Analysis of Functional Connectivity Data in Resting and Task-Related Conditions of the Brain for Disease Signature of OCD
Date
2014-08-30
Author
Shenas, Sona Khaneh
Halıcı, Uğur
Cicek, Metehan
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
245
views
0
downloads
Cite This
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.
Subject Keywords
Feature extraction
,
Principal component analysis
,
Support vector machine classification
,
Vectors
,
Diseases
,
Correlation
URI
https://hdl.handle.net/11511/46654
DOI
https://doi.org/10.1109/embc.2014.6943756
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
A comprehensive model for obsessive-compulsive disorder symptoms: a cross-cultural investigation of cognitive and other vulnerability factors
Yorulmaz, Orçun; Gençöz, Tülin; Department of Psychology (2007)
The current coginitive models of the Obsessive-Compulsive Disorder (OCD) symptoms focuses on the different cognitive factors. Like other nonspecific and noncognitive variables, these factors may also function as vulnerability factors. However, they have been mostly studied separately and majority of the findings in the literature come from the Western samples. Accordingly, the studies examining these factors together and the impact of the culture in these studies are sparse in number. The present study sugg...
Detection of Obsessive Compulsive Disorder Using Resting State Functional Connectivity Data
SHENAS, Sona Khaneh; Halıcı, Uğur; ÇİÇEK, METEHAN (2013-12-18)
Obsessive Compulsive Disorder (OCD) is a serious psychological disease that might be affiliated with abnormal resting-state functional connectivity (rs-FC) in default mode network (DMN) of brain. In this study it is aimed to discriminate patients with OCD from healthy individuals by employing pattern recognition methods on resting-state functional connectivity (rs-FC) data. For this purpose, two different feature extraction approaches were implemented. In the first approach the rs-FC fMRI data were subsampl...
A Bibliometric and Altmetric Analysis and Visualization of Obsessive Compulsive Disorder: The Top 100 Most Cited Influential Studies
Başhan, Dilara Nurefşan (ODTÜ- AYNA Klinik Psikoloji Destek Ünitesi, 2022-2)
Obsessive-Compulsive Disorder [OCD] is a psychiatric/psychological disorder that can start in childhood, adolescence, or early adulthood and progress quite severely depending on age of onset, and several other reasons. It is characterized by obsessions and compulsions that repeat and cause significant distress in a person's life. While obsessions cause distress, compulsive behaviors can help alleviate the stress evoked by the obsessions albeit temporarily. When the bibliometric analysis of OCD was performed...
Detection of obsessive compulsive disorder using resting-state functional connectivity data
Khaneh Shenas, Sona; Halıcı, Uğur; Çiçek, Metehan; Department of Biomedical Engineering (2013)
Obsessive Compulsive Disorder (OCD) is a serious psychiatric disease that might be affiliated with abnormal resting-state functional connectivity (rs-FC) in default mode network (DMN) of brain. The aim of this study is to discriminate patients with OCD from healthy individuals by employing pattern recognition methods on rs-FC data obtained through regions of interest (ROIs) such as Posterior Cingulate Cortex (PCC), Left Inferior Posterior Lobe (LIPL) and Right Inferior Posterior Lobe (RIPL). For this purpos...
Further Support for Responsibility in Different Obsessive-Compulsive Symptoms in Turkish Adolescents and Young Adults
Yorulmaz, Orcun; Altin, Muejgan; Karanci, Nuray (Cambridge University Press (CUP), 2008-10-01)
According to the cognitive model, an inflated sense of responsibility is an important cognitive mediator both in the development and maintenance of obsessive-compulsive disorder (OCD). Empirical findings assign differential roles to responsibility in different kinds of obsessive-compulsive (OC) symptoms. However, findings that suggested a different function for responsibility revealed the need for an operational definition of responsibility and its multi-factorial factorial structure. Few studies have exami...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. K. Shenas, U. Halıcı, and M. Cicek, “A Comparative Analysis of Functional Connectivity Data in Resting and Task-Related Conditions of the Brain for Disease Signature of OCD,” 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46654.