Dysfunctional brain circuitry in obsessive–compulsive disorder: Source and coherence analysis of EEG rhythms

Velikova, S.; Locatelli, Marco; Insacco, Chiara; Smeraldi, Enrico; Comi, Giancarlo; Leocani, Letizia

doi:10.1016/j.neuroimage.2009.08.015

Cited by 96 publications

(83 citation statements)

References 67 publications

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“…Increased theta in OCD is a robust finding (Karadag et al, 2003;Perros, Young, Ritson, Price & Mann, 1992;Velikova et al, 2010) and the regions of activation are consistent with OCD imaging studies (Rotge et al, 2008), suggesting the activation of OCD-related circuitry. However, a more parsimonious explanation may be that this reflects greater anxiety (Aftanas & Pavlov, 2005) or more vivid imagery (Addis, Wong & Schacter et al, 2007;Weiler, Suchan & Daum, 2010).…”

Section: Discussionsupporting

confidence: 73%

Alpha activity in the insula accompanies the urge to neutralize in sub-clinical obsessive-compulsive participants

Jones¹,

Bhattacharya²

2012

Journal of Behavioral Addictions

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Background and aims:The behavioural addiction model of obsessive-compulsive disorder (OCD) proposes that as compulsions successfully reduce obsession-provoked anxiety in the early stages of the disorder, their performance is rewarding and therefore potentially addictive. According to this theory, the urge to perform a compulsion or neutralization resembles craving in addiction, and ventral fronto-striatal reward circuitry is activated during compulsive or neutralizing behaviour, resembling substance addiction disorders. The current study used EEG source localisation to test this hypothesis by examining brain activity accompanying the urge to neutralize and covert neutralization. Methods: Two groups of non-clinical participants (15 Low-OC, 15 High-OC) performed a task in which the urge to neutralize was induced by supplying participants with an obsessive-compulsive-like thought. Source localised EEG activity was compared between a negative condition with high urge to neutralize, and a positive condition with low urge to neutralize, and correlations between brain activity and self-reported urge to neutralize were examined. Results: High-OC participants reported a significantly greater urge to neutralize than Low-OC participants, and the majority of participants reported performing covert neutralization during the experiment. Between-condition comparisons in the High-OC group revealed significantly greater alpha activity in the insula and vlPFC in the negative than the positive condition, which was significantly correlated with both urge to neutralize and later decrease in negative affect. Conclusions: The current results support the proposal that the urge to neutralize in OCD is neurally similar to craving in substance addiction, in agreement with the behavioural addiction model of OCD.

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Section: Discussionsupporting

confidence: 73%

Alpha activity in the insula accompanies the urge to neutralize in sub-clinical obsessive-compulsive participants

Jones¹,

Bhattacharya²

2012

Journal of Behavioral Addictions

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“…Attentional network functioning . Attentional control Relationships between spontaneous electroencephalographic (EEG) slow-wave (SW; i.e., the theta 4-7 Hz, delta 1-3 Hz bands) and fast-wave (FW; i.e., the beta 13-30 Hz band) frequency band activity may reflect the cortical-subcortical interactions involved in affective processes (Knyazev, 2007) and are considered to be of interest in the study of emotional states, dispositional affective traits, emotion regulation, and related processes and capabilities (e.g., Arns, Conners, & Kraemer, 2013;Massar, Kenemans, & Schutter, 2014;Putman, Arias-Garcia, Pantazi, & van Schie, 2012;Schutter & Knyazev, 2012;Schutter & Van Honk, 2005a;van Peer, Roelofs, & Spinhoven, 2008;Velikova et al, 2010).Two often-used EEG indices are the SW/FW ratio and SW-FW coupling. The SW/FW ratio results from dividing the SW power density (i.e., theta) by the FW power density (i.e., beta) for each individual participant's EEG recording at a selected brain site or selected sites, with higher ratio scores reflecting relatively more SW than FW power.…”

mentioning

confidence: 99%

“…Regarding coupling measures, spontaneous reduced frontal delta-beta coupling has been associated with anxiety-related disorders such as obsessive-compulsive disorder (Velikova et al, 2010) and trait anxiety (Putman et al, 2012), and also with increased attentional avoidance of threat (Putman, 2011) and higher interference effects during an emotional Stroop task (Putman et al, 2012). By contrast, SW-FW coupling measures have not been found to be significantly related to self-reported AC (Putman et al, 2012), even though these researchers did expect to find a positive relationship between delta-beta coupling and self-reported AC.…”

mentioning

confidence: 99%

Spontaneous EEG theta/beta ratio and delta–beta coupling in relation to attentional network functioning and self-reported attentional control

Morillas-Romero

Tortella-Feliu

Bornas

et al. 2015

Cogn Affect Behav Neurosci

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Relationships between electroencephalographic (EEG) slow-and fast-wave frequency bands are considered to be of interest in the study of dispositional affective traits, emotion regulation, and attentional phenomena. However, to date, no previous studies had explored whether both state performance-based and self-reported attentional control (AC) measures potentially relate to different patterns of spontaneous EEG measures, in the absence of emotional stimuli. In the present study, individual differences in spontaneous EEG theta/beta ratio and delta-beta coupling at frontal and parietal sites were explored in a sample of 110 healthy volunteers as potential correlates of individual differences in performancebased attentional network functioning, as measured through the Attentional Network Test for Interactions (ANT-I) and self-reported AC. We found that stronger delta-beta coupling at parietal sites was associated with higher self-reported AC. However, no significant associations were found between executive control network functioning and the EEG ratio or coupling measures. Furthermore, a lower spontaneous frontoparietal theta/beta ratio was found to be associated with better orienting network functioning. These results are discussed with a focus on the potential utility of spontaneous EEG measures in several cortical regions for capturing trait-like individual differences in temperament-related factors.Keywords Spontaneous EEG . Theta/beta ratio . Delta-beta coupling . Attentional network functioning . Attentional control Relationships between spontaneous electroencephalographic (EEG) slow-wave (SW; i.e., the theta 4-7 Hz, delta 1-3 Hz bands) and fast-wave (FW; i.e., the beta 13-30 Hz band) frequency band activity may reflect the cortical-subcortical interactions involved in affective processes (Knyazev, 2007) and are considered to be of interest in the study of emotional states, dispositional affective traits, emotion regulation, and related processes and capabilities (e.g., Arns, Conners, & Kraemer, 2013;Massar, Kenemans, & Schutter, 2014;Putman, Arias-Garcia, Pantazi, & van Schie, 2012;Schutter & Knyazev, 2012;Schutter & Van Honk, 2005a;van Peer, Roelofs, & Spinhoven, 2008;Velikova et al., 2010).Two often-used EEG indices are the SW/FW ratio and SW-FW coupling. The SW/FW ratio results from dividing the SW power density (i.e., theta) by the FW power density (i.e., beta) for each individual participant's EEG recording at a selected brain site or selected sites, with higher ratio scores reflecting relatively more SW than FW power. It has been postulated that a relative predominance of SW over FW power may reflect reduced cortical control function over subcortical drives related to motivational imbalances (Schutter & Van Honk, 2005a). On the other hand, SW-FW coupling (usually delta-beta coupling) is operationalized as the positive correlation between SW and FW in a selected sample, which usually compares samples that have scored high or low on a criterion variable (e.g., trait anxiety; see Putman et al., ...

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“…Bu nedenle hastalığın klinik karakteristikleri ve şiddet parametreleri tanımlanırken Yale-Brown Obsesyon Kompulsiyon Ölçeğinin (YBOKÖ) yanı sıra, Hamilton Depresyon Değerlendirme Ölçeği (HDDÖ), Beck Anksiyete Ölçeği (BAÖ) de kullanılmaktadır. [14] Geçmişte, yapılan benzer bir çalışmada: her bir frekans bandına ait EEG işaret gücü ile YBOCS ölçeğinin alt skorları (obsesyon ve kompulsiyon) karşılaştırılmış ve güç değerleri ile obsesyon arasında pozitif ilişki bulunurken, kompulsiyon ile negatif ilişki bulunmuştur, [4] başka çalışmalarda ise kaynak lokalizasyonu ve koherans belirlenmesinde, [5] kompleksite analizinde [15] ve faz senkronizasyonu tabanlı çalışmalarda, ölçüm sonuçları ile klinik değerlendirme ölçekleri arasındaki ilişki incelenmiştir [16]. Bu çalışma da ise OKB hastalarına ait EEG datalarının Global Alan Senkronizasyonu yöntemi ile ölçülen senkronizasyon değerleri ile aynı hastaların, hastalık şiddeti ve hastalığa eşlik eden semptomlara ait klinik değerleri arasındaki ilişki Spearman-rho korelasyon analizi yöntemi ile araştırılmıştır.…”

Section: Okbunclassified

“…En genel obsesyonlar; bulaşıcı hastalık korkusu, aşırı şüphecilik ve dini ritüellerde hata yapma endişeleridir. Yaygın kompulsiyon belirtileri ise; sürekli kontrol etme dürtüsü, gereğinden fazla sayıda tekrarlayan el yıkama ve belirli cümleleri sesli olarak söyleme gibi [2], hastalığın beyinde ki bölgesel incelemesinde topografik analiz için [3], EEG işaret gücü ile semptom parametrelerinin ilişkilerinin incelenmesinde [4], koherans ve kaynak analizi çalışmalarında [5], OKB'nin nöroanatomik nedenlerinin araştırılmasında [6] kullanılmıştır.…”

Section: Introductionunclassified

Obsesif Kompulsif Bozukluk Hastalarında Klinik Değerlendirme Ölçekleri ile EEG Senkronizasyonu Arasındaki Korelasyon

Özçoban

Akan

Tan

et al. 2017

SDÜ Fen Bil Enst Der

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Anahtar KelimelerObsesif kompulsif bozukluklar, EEG, Senkronizasyon Özet: Obsesif Kompulsif Bozuklular (OKB) başka psikiyatrik belirtilerin de eşlik edebildiği nöropsikiyatrik bir hastalıktır. OKB için başlıca klinik değerlendirme kriteri, Yale-Brown Obsesyon Kompulsiyon Ölçeği (YBOKÖ) olsa da bunun yanı sıra, Hamilton Depresyon Değerlendirme Ölçeği (HDDÖ), Beck Anksiyete Ölçeği (BAÖ)de kullanılmaktadır. Bu çalışma da OKB değerlendirme ölçekleri ile EEG senkronizasyonu arasında ki ilişki incelenmiştir. EEG senkronizasyonunu belirlemek için Global Alan Senkronizasyonu yöntemi ile hesaplanan GAS indisi kullanılmıştır. 30 adet OKB hastasına ait GAS indisleri ile bu hastalara ait OKB Klinik Değerlendirme Ölçekleri, arasındaki ilişki Spearman-rho korelasyon yöntemi ile incelenmiştir. Analiz sonuçlarına göre alfa 1 frekans bandında ki GAS değerleri ile BAÖ arasında negatif ilişki bulunurken, teta, alfa 1 ve alfa 2 bantlarındaki GAS değerleri ile HDDÖ arasında, negatif ilişki tespit edilmiştir. Bu sonuçlar, OKB hastalarında anksiyete ve depresyon belirtilerinin senkronizasyon bozukluğuna bağlı olarak fonksiyonel bağlılıkta azalışa neden olduğunu göstermektedir. OKB'ye eşlik eden anksiyete ve depresyon şiddetindeki artışın, bilişsel işlem düzeyinde düşüşe neden olduğu görülmüştür. Correlation Between Clinical Rating Scales of Obsessive Compulsive Disorders Patients and EEG Synchronization Keywords Obsessive compulsive disorders, EEG, SynchronizationAbstract: Obsessive compulsive disorder (OCD) is a neuropsychiatric disease may be comorbid with symptoms of other psychiatric disease . Although the main clinical rating criteria of OCD is Yale Brown Obsession Compulsion Score (YBOCS), Hamilton Deppression Rating Score (HDRS-17) and Beck Anxiety Inventory (BAI) are also used. In this study, the correlation between EEG synchronization and rating scales of OCD was examined. In order to determining Synchronization of EEG data, Global Field Synchronization (GFS) Indice was producted by GFS method. Correlation between GFS indice of EEG data were recorded from 30 OCD and Clinical Raitng Scales of the patients was examined with Spearman-rho correlation method. In according to analysis results; GFS values in the alfa 1 band were negatively correlated with the BAI and the values in theta, alfa 1 and alfa 2 was negatively correlated with HDRS-17. This results showed that symptoms of anxiety and depression in OCD, causes functional diconnectivity depends on desynchronization. High severity of anxiety and depression comorbid with OCD, causes cognitive decline GirişObsesyon; insan zihnine, zorla giren ve yanlış olduğunu bildiği halde inanmak zorunda hissettiren rahatsızlık verici imge ve düşüncelerdir. Kompulsiyon ise obsesyonların tetiklediği ve güdülediği, kişide özgüven azalmasına neden olan, bıktırıcı derecede tekrarlayan ve yapılmak zorunda hissedilen davranışlardır. En genel obsesyonlar; bulaşıcı hastalık korkusu, aşırı şüphecilik ve dini ritüellerde hata yapma endişeleridir. Yaygın kompulsiyon belirtileri ise; sürekli kontrol etme...

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Dysfunctional brain circuitry in obsessive–compulsive disorder: Source and coherence analysis of EEG rhythms

Cited by 96 publications

References 67 publications

Alpha activity in the insula accompanies the urge to neutralize in sub-clinical obsessive-compulsive participants

Alpha activity in the insula accompanies the urge to neutralize in sub-clinical obsessive-compulsive participants

Spontaneous EEG theta/beta ratio and delta–beta coupling in relation to attentional network functioning and self-reported attentional control

Obsesif Kompulsif Bozukluk Hastalarında Klinik Değerlendirme Ölçekleri ile EEG Senkronizasyonu Arasındaki Korelasyon

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