Detection of Obsessive Compulsive Disorder Using Resting State Functional Connectivity Data

Date

2013-12-18

Author

SHENAS, Sona Khaneh
Halıcı, Uğur
ÇİÇEK, METEHAN

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

176
views

0
downloads

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 subsampled and then the dimensionality of the subsampled data was reduced using subspace transforms. In the second approach, feature vectors having already low dimensions were obtained by measuring similarities of the rs-FC data of subjects to the separate means in OCD and healthy groups. Afterwards the healthy and OCD groups were classified using Support Vector Machine (SVM). In order to obtain more reliable performance results, the Double LOO-CV method that we proposed as a version of Leave-One-Out Cross Validation (LOO-CV) was used. Quite encouraging results are obtained when the features extracted using similarity measures are classified by SVM.

Subject Keywords

Obsessive Compulsive Disorder, Functional MRI, Resting-state functional connectivity, Pattern Recognition, Similarity measures, Dimensional reduction, Support Vector Machine (SVM)

URI

https://hdl.handle.net/11511/33228

DOI

https://doi.org/10.1109/bmei.2013.6746921

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

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...
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...
Detection of hypothalamic neuropeptite levels involved in appetite regulation in aripiprazole treatment / Özdemir, Serhat; Yanık, Tülin; Department of Biotechnology (2014) Disruption or malfunctioning of neurotransmitter pathways, especially serotonergic and dopaminergic pathways are closely related to psychotic disorders such as schizophrenia. Antipsychotic medications are becoming widespread; however, in long term treatments, these drugs lead to considerable amount of weight gain as a side effect. Metformin, an antidiabetic drug, has previously been used to treat antipsychotic induced weight gain and aripiprazole has been defined as a neutral antipsychotic drug in terms of ...
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...
The association between cannabis use and facial emotion recognition in schizophrenia, siblings, and healthy controls: Results from the EUGEI study Fusar-Poli, Laura; et. al. (2022-10-01) Schizophrenia is frequently accompanied with social cognitive disturbances. Cannabis represents one established environmental factor associated with the onset and progression of schizophrenia. The present cross-sectional study aimed to investigate the association of facial emotion recognition (FER) performance with cannabis use in 2039 patients with schizophrenia, 2141 siblings, and 2049 healthy controls (HC). FER performance was measured using the Degraded Facial Affect Recognition Task (DFAR). Better FER ...

Citation Formats

S. K. SHENAS, U. Halıcı, and M. ÇİÇEK, “Detection of Obsessive Compulsive Disorder Using Resting State Functional Connectivity Data,” 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/33228.