Detection of obsessive compulsive disorder using resting-state functional connectivity data

Download

index.pdf

Date

2013

Author

Khaneh Shenas, Sona

Metadata

Show full item record

Item Usage Stats

137
views

140
downloads

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 purpose, two different approaches were implemented as feature extraction step of pattern recognition. In the first approach the rs-FC fMRI data were subsampled and then the dimensionality of the subsampled data was reduced using the Principal Component Analysis (PCA), Kernel Principal Component Analysis (KPCA) and Linear Discriminant Analysis (LDA) alternatives. In the second approach, feature vectors having already low dimensions were obtained by measuring cosine similarity, dot product similarity and correlation similarity to the separate means of the rs-FC data of subjects in OCD and healthy groups. Afterwards the healthy and OCD groups were classified using Support Vector Machine (SVM) and Gaussian Mixture Models (GMMs). In order to obtain more reliable performance results, Double LOO-CV method that we proposed as a version of Leave-One-Out Cross Validation (LOO-CV) was used and the best performance (73%) was obtained by using cosine similarity for feature extraction and GMMs for classification.

Subject Keywords

Obsessive-compulsive disorder., Magnetic resonance imaging, Diagnostic imaging

URI

http://etd.lib.metu.edu.tr/upload/12616342/index.pdf
https://hdl.handle.net/11511/23112

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

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...
A Comparative Analysis of Functional Connectivity Data in Resting and Task-Related Conditions of the Brain for Disease Signature of OCD Shenas, Sona Khaneh; Halıcı, Uğur; Cicek, Metehan (2014-08-30) 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 pr...
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...
Effective connectivity model differences of emotion regulation in major depressive disorder: dynamic causal modeling analysis Özaydın, Mustafa; Çakır, Murat Perit; Department of Cognitive Sciences (2021-9) Major Depressive Disorder (MDD) is a mental disorder and one of the most critical and prevalent disorders in the world. Unlike other diseases, the diagnosis of mental disorders does not easily conform to objective tests. Medical experts consider several indicators to be able to distinguish a depressed person from a normal individual, and finding robust markers to aid diagnosis is still an active area of research. The recent proliferation of neuroimaging methods has brought up new opportunities in that regar...

Citation Formats

S. Khaneh Shenas, “Detection of obsessive compulsive disorder using resting-state functional connectivity data,” M.S. - Master of Science, Middle East Technical University, 2013.