Symptom-specific EEG power correlations in patients with obsessive–compulsive disorder

Pogarell, Oliver; Juckel, Georg; Mavrogiorgou, Paraskevi; Mulert, Christoph; Folkerts, M.; Walter, Hauke; Zaudig, Michael; Möller, Hans‐Jürgen; Hegerl, Ulrich

doi:10.1016/j.ijpsycho.2006.02.002

Cited by 60 publications

(52 citation statements)

References 27 publications

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“…One group studying NAc stimulation for OCD (Figee et al 2013) showed that stimulation in the region of the NAc modulated abnormal prefrontal connectivity and decreased the low-frequency oscillation response seen for symptom-provoking stimuli, which correlated with clinical improvement. Low-frequency oscillations in the range of 2-5 Hz over the prefrontal cortex were linked to the severity of symptoms in OCD (Pogarell et al 2006). Although the role of frontal low-frequency oscillations in the pathophysiology of OCD is not clear, frontal theta is hypothesized to correlate with the cognitive control and working memory load (Cavanagh and Frank 2014;Meltzer et al 2008).…”

Section: Network Effects Of Nucleus Accumbens Stimulationmentioning

confidence: 99%

Network effects of deep brain stimulation

Alhourani

McDowell

Randazzo

et al. 2015

Journal of Neurophysiology

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The ability to differentially alter specific brain functions via deep brain stimulation (DBS) represents a monumental advance in clinical neuroscience, as well as within medicine as a whole. Despite the efficacy of DBS in the treatment of movement disorders, for which it is often the gold-standard therapy when medical management becomes inadequate, the mechanisms through which DBS in various brain targets produces therapeutic effects is still not well understood. This limited knowledge is a barrier to improving efficacy and reducing side effects in clinical brain stimulation. A field of study related to assessing the network effects of DBS is gradually emerging that promises to reveal aspects of the underlying pathophysiology of various brain disorders and their response to DBS that will be critical to advancing the field. This review summarizes the nascent literature related to network effects of DBS measured by cerebral blood flow and metabolic imaging, functional imaging, and electrophysiology (scalp and intracranial electroencephalography and magnetoencephalography) in order to establish a framework for future studies. deep brain stimulation; electrocorticography; magnetoencephalography DEEP BRAIN STIMULATION (DBS) provides a unique opportunity for further understanding of healthy and aberrant human brain function. DBS is the only paradigm in which specific deep brain regions may be manipulated through focal electrical stimulation while simultaneously recording brain activity. An emerging field of study has begun to elucidate how different DBS targets modulate network activity in connected brain regions.

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Section: Network Effects Of Nucleus Accumbens Stimulationmentioning

confidence: 99%

Network effects of deep brain stimulation

Alhourani

McDowell

Randazzo

et al. 2015

Journal of Neurophysiology

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“…EEG can be used clinically for the evaluation and differential diagnosis of epilepsy and sleep disorders, differentiation of encephalopathy from catatonia, assessment of depth of anesthesia, prognosis in coma, and determination of brain death (5,6). EEG also has moderate predictive value for personality variation and psychiatric disease including depression (7), bipolar disorder (8), attention-deficit/hyperactivity disorder (9), and obsessive-compulsive disorder (10). Increased β power is associated with both alcoholism and family history of alcoholism (11,12), θ power is altered in alcoholics (13)(14)(15), and reduced α power has been associated with a family history of alcoholism and with alcoholism with comorbid anxiety disorders (16,17).…”

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confidence: 99%

Genome-wide association identifies candidate genes that influence the human electroencephalogram

Hodgkinson

Enoch

Srivastava

et al. 2010

Proc. Natl. Acad. Sci. U.S.A.

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Complex psychiatric disorders are resistant to whole-genome analysis due to genetic and etiological heterogeneity. Variation in resting electroencephalogram (EEG) is associated with common, complex psychiatric diseases including alcoholism, schizophrenia, and anxiety disorders, although not diagnostic for any of them. EEG traits for an individual are stable, variable between individuals, and moderately to highly heritable. Such intermediate phenotypes appear to be closer to underlying molecular processes than are clinical symptoms, and represent an alternative approach for the identification of genetic variation that underlies complex psychiatric disorders. We performed a whole-genome association study on alpha (α), beta (β), and theta (θ) EEG power in a Native American cohort of 322 individuals to take advantage of the genetic and environmental homogeneity of this population isolate. We identified three genes (SGIP1, ST6GALNAC3, and UGDH) with nominal association to variability of θ or α power. SGIP1 was estimated to account for 8.8% of variance in θ power, and this association was replicated in US Caucasians, where it accounted for 3.5% of the variance. Bayesian analysis of prior probability of association based upon earlier linkage to chromosome 1 and enrichment for vesicle-related transport proteins indicates that the association of SGIP1 with θ power is genuine. We also found association of SGIP1 with alcoholism, an effect that may be mediated via the same brain mechanisms accessed by θ EEG, and which also provides validation of the use of EEG as an endophenotype for alcoholism.alcoholism | electroencephalogram | endophenotype | genetics | whole-genome association G enetic studies of behavior and psychiatric disorders are hampered by etiologic heterogeneity of these complex phenotypes. Addiction vulnerability arises from both internalizing (emotional) and externalizing (dyscontrol) behavioral dimensions (1), and both of these broad aspects of behavior are strongly influenced by early life trauma and other gene/environment interactions (2). Etiologic heterogeneity dilutes power to detect genetic effects, and is a reason for failures to detect and replicate genome-wide associations (GWAS) in complex disorders. Increasing sample size does not remove underlying heterogeneity and can introduce additional confounds. In neuropsychiatry, these considerations have led to the use of intermediate phenotypes (or endophenotypes) that are heritable, relevant to disease, and have good measurement properties and assay variation more closely related to gene function (3) as surrogates to probe the underlying biology of complex disorders.

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“…An increase in alpha and beta waves (Velikova et al, 2010;Bolwig, Hansen, Hansen, Merkin, & Prichep, 2007), decrease in alpha and beta waves (Bucci et al, 2004;Serra, Palma, Nolfe, & Buscaino, 1994) and delta or theta waves increase (Koprivova et al, 2011;Velikova et al, 2010;Pogarell et al, 2006;Karadag et al, 2003;Tot, Ozge, Comelekoglu, Yazici, & Bal, 2002;Simpson, Tenke, Towey, Liebowitz, & Bruder, 2000) were reported in OCD patients. For instance, the results of Bucci et al, (2004) suggests a relative decrease of alpha band activity among OCD patients before treatment, which was then normalized following the treatment.…”

Section: Discussionmentioning

confidence: 97%

“…In the same vein, abnormal EEGs have been observed in patients with OCD (Kuskowski et al, 1993;Locatelli, Bellodi, Grassi, & Scarone, 1996;Bucci et al, 2004;Pogarell et al, 2006;Velikova et al, 2010;Koprivova et al, 2011;Koprivova, Horacek, Raszka, Brunovsky, & Prasko, 2013;Olbrich et al, 2013). Resting state EEG source localization studies reported that cingulate gyrus plays an important role in OCD (Koprivova et al, 2011;Sherlin & Congedo, 2005;Velikova et al, 2010).…”

Section: Introductionmentioning

confidence: 89%

The Efficacy of Psychoneurotherapy on Reducing Symptoms Severity in Treatment Naïve Patients With Obsessive-Compulsive Washing

Saremi

Nazari

Shariat

et al. 2016

PCP

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Objective: The present study was carried out to examine the effectiveness of psychoneurotherapy (PNT) on reducing symptoms severity in treatment-naïve patients with obsessive-compulsive washing. This study evaluated a new form of psychotherapy based on neurobiological model of Obsessive-Compulsive Disorder Washing (OCD-W). Methods:The study was conducted as a quasi-experimental research. The statistical population of this study included 130 obsessive-compulsive washers. A total of 40 patients were selected using convenience sampling method and then were randomly divided into two groups: PNT group (n=20) and sham feedback control group (n=20). Both groups received drug treatment, in addition, the experimental group received 20 sessions (twice per week) of PNT. The Yale-Brown obsessive compulsive scale (Y-BOCS), Maudsley obsessional-compulsive inventory (MOCI), depression, anxiety, and stress scale-21 (DASS-21), subjective united distress scale (SUDS) were administered before and after treatment. Eelectroencephography (EEG) was recorded in eyes open provocation stimuli condition. All EEGs were recorded drug free. Participants were prescribed PNT protocol based on the results of their quantitative EEG (QEEG) and low-resolution electromagnetic tomography analyses. The effects of PNT were analyzed using 1-way analysis of covariance (ANCOVA) after controlling pretest scores. The effect size (Cohen's d), paired t test, and clinically significant change were calculated and assessed for all the clinical instruments.Results: Thirty patients completed this study. Despite some methodological limitations, our results indicated that psychoneurotherapy is significantly efficient on treatment's target. ANCOVA results supported that PNT could significantly improve the severity of OCD symptoms, depression, stress, anxiety symptoms, and subjective united distress scale compared to what was seen sham feedback control group (All P<0.001). Conclusion:Psychoneurotherapy showed preliminarily evidence for the effectiveness in the treatment of patients with obsessive-compulsive washing. The study is an attempt to provide a new non-invasive treatment of OCD-washing. Further studies are necessary for confirming our findings.

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Symptom-specific EEG power correlations in patients with obsessive–compulsive disorder

Cited by 60 publications

References 27 publications

Network effects of deep brain stimulation

Network effects of deep brain stimulation

Genome-wide association identifies candidate genes that influence the human electroencephalogram

The Efficacy of Psychoneurotherapy on Reducing Symptoms Severity in Treatment Naïve Patients With Obsessive-Compulsive Washing

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