The relevance of feature selection methods to the classification of obsessive-compulsive disorder based on volumetric measures

2017 ◽  
Vol 222 ◽  
pp. 49-56 ◽  
Author(s):  
Lucas R. Trambaiolli ◽  
Claudinei E. Biazoli ◽  
Joana B. Balardin ◽  
Marcelo Q. Hoexter ◽  
João R. Sato
Keyword(s):  
Feature Selection ◽  
Obsessive Compulsive Disorder ◽  
Selection Methods ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Volumetric Measures

scholarly journals Experiences of Obsessive-Compulsive Disorder

2016 ◽  
Vol 26 (14) ◽  
pp. 2009-2023 ◽  
Author(s):  
Olivia Knapton
Keyword(s):  
Obsessive Compulsive Disorder ◽  
Thematic Analysis ◽  
The Body ◽  
The Self ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Qualitative Thematic Analysis ◽  
Relationship Of ◽  
The Relationship

Obsessive-compulsive disorder (OCD) is a mental health problem characterized by persistent obsessions and compulsions. This article provides insights into experiences of OCD through a qualitative, thematic analysis performed on a set of interviews with people with OCD. Four themes were found as central in the participants’ descriptions of OCD episodes: (a) space, (b) the body, (c) objects, and (d) interactions. The findings also show that episodes of OCD can be grouped into three broad categories: (a) activity episodes, which revolve around everyday tasks; (b) state episodes, which are concerned with the self and identity; and (c) object episodes, which are concerned with the effects of objects on the self. The relationship of this three-way classification of OCD episodes to existing cognitive models of OCD is discussed. The study also demonstrates the value of categorizing episodes, rather than people, into subtypes of OCD so that intra-participant variation can be highlighted.

Thought Content and Appraisals in Cognitive Behavioral Therapy for Obsessive-Compulsive Disorder

2015 ◽  
Vol 29 (2) ◽  
pp. 106-115 ◽  
Author(s):  
Stian Solem ◽  
Kristen Hagen ◽  
Bjarne Hansen ◽  
Åshild T. Håland ◽  
Gunvor Launes ◽  
...  
Keyword(s):  
Cognitive Behavioral Therapy ◽  
Treatment Response ◽  
Obsessive Compulsive Disorder ◽  
Cognitive Theory ◽  
Behavioral Therapy ◽  
Cognitive Behavioral ◽  
Obsessive Compulsive ◽  
Compulsive Disorder

A premise for cognitive behavioral therapy (CBT) for obsessive-compulsive disorder (OCD) is that appraisal of obsessions maintains OCD symptoms whereas obsessive content is less important. The main aim of this study was therefore to explore this notion using the autogenous and reactive classification of obsessive content and by assessing changes in appraisals and symptoms following CBT for OCD. More specifically, the study investigates whether recovery from OCD is associated with changes in appraisal and explores how thought content relates to appraisal and symptoms both before and CBT. Data from 156 adults with OCD completing CBT for OCD were analyzed. Changes in appraisals were related to improvement in OCD symptoms. Slightly more participants reported reactive intrusions (47%) than autogenous (29%), but combinations of the two were common (24%). These classifications of thought content were not related to levels of appraisal or change in symptoms, with the exception of patients with autogenous thoughts who appraised their intrusions as more important than others. OCD is heterogeneous regarding thought content and strength of appraisals but can be quite homogeneous in terms of CBT treatment response. Also, and in line with cognitive theory, recovery from OCD is associated with changes in appraisals.

Author response for "Classification of comorbidity in obsessive–compulsive disorder: A latent class analysis"

2020 ◽  
Author(s):  
Lucas J. B. Oudheusden ◽  
Rens Schoot ◽  
Adriaan Hoogendoorn ◽  
Patricia Oppen ◽  
Maarten Kaarsemaker ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Obsessive Compulsive Disorder ◽  
Latent Class ◽  
Author Response ◽  
Class Analysis ◽  
Obsessive Compulsive ◽  
Compulsive Disorder

Classification of Obsessive Compulsive Disorder by EEG Complexity and Hemispheric Dependency Measurements

2015 ◽  
Vol 25 (03) ◽  
pp. 1550010 ◽  
Author(s):  
Serap Aydin ◽  
Nafiz Arica ◽  
Emrah Ergul ◽  
Oğuz Tan
Keyword(s):  
Obsessive Compulsive Disorder ◽  
Single Channel ◽  
Electrode Placement ◽  
Permutation Entropy ◽  
Support Vector ◽  
Obsessive Compulsive ◽  
Validation Data ◽  
Compulsive Disorder ◽  
Eyes Closed

In the present study, both single channel electroencephalography (EEG) complexity and two channel interhemispheric dependency measurements have newly been examined for classification of patients with obsessive–compulsive disorder (OCD) and controls by using support vector machine classifiers. Three embedding entropy measurements (approximate entropy, sample entropy, permutation entropy (PermEn)) are used to estimate single channel EEG complexity for 19-channel eyes closed cortical measurements. Mean coherence and mutual information are examined to measure the level of interhemispheric dependency in frequency and statistical domain, respectively for eight distinct electrode pairs placed on the scalp with respect to the international 10–20 electrode placement system. All methods are applied to short EEG segments of 2 s. The classification performance is measured 20 times with different 2-fold cross-validation data for both single channel complexity features (19 features) and interhemispheric dependency features (eight features). The highest classification accuracy of 85 ±5.2% is provided by PermEn at prefrontal regions of the brain. Even if the classification success do not provided by other methods as high as PermEn, the clear differences between patients and controls at prefrontal regions can also be obtained by using other methods except coherence. In conclusion, OCD, defined as illness of orbitofronto-striatal structures [Beucke et al., JAMA Psychiatry 70 (2013) 619–629; Cavedini et al., Psychiatry Res. 78 (1998) 21–28; Menzies et al., Neurosci. Biobehav. Rev. 32(3) (2008) 525–549], is caused by functional abnormalities in the pre-frontal regions. Particularly, patients are characterized by lower EEG complexity at both pre-frontal regions and right fronto-temporal locations. Our results are compatible with imaging studies that define OCD as a sub group of anxiety disorders exhibited a decreased complexity (such as anorexia nervosa [Toth et al., Int. J. Psychophysiol. 51(3) (2004) 253–260] and panic disorder [Bob et al., Physiol. Res. 55 (2006) S113–S119]).

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