2011
DOI: 10.1016/j.ijpsycho.2011.03.013
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Cross-frequency coupling of brain oscillations: An impact of state anxiety

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Cited by 74 publications
(70 citation statements)
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“…Low-frequency oscillations and beta activity are functionally related. It has been suggested that the delta network (primarily based within the orbitofrontal and anterior cingulate cortices) drives local beta oscillations in the same regions and coordinates the timing of neuronal activities through delta-beta coupling [23]. Our finding of the relationship between the treatment response and both slow and fast frequencies provides further support for a functional relationship of these two frequency bands in OCD.…”
Section: Discussionsupporting
confidence: 72%
See 1 more Smart Citation
“…Low-frequency oscillations and beta activity are functionally related. It has been suggested that the delta network (primarily based within the orbitofrontal and anterior cingulate cortices) drives local beta oscillations in the same regions and coordinates the timing of neuronal activities through delta-beta coupling [23]. Our finding of the relationship between the treatment response and both slow and fast frequencies provides further support for a functional relationship of these two frequency bands in OCD.…”
Section: Discussionsupporting
confidence: 72%
“…The decision to train either low or low beta frequencies was supported by research by Onton et al [22] who showed that bursts of low beta (<20 Hz) activity may be an integral feature of frontal task-related brain dynamics associated with frontal midline theta. Moreover, an increased coupling between slow (delta and theta) and fast (beta) frequency oscillations has been demonstrated in anxiety [23]. The training parameters for all subjects are shown in table 1.…”
Section: Methodsmentioning
confidence: 99%
“…For this reason, multichannel EEG recordings were used in order to compute the cortical networks by employing the methodology proposed by De Vico Fallani et al(2010). We assume that the aforementioned difference would be apparent in various graph metrics such as clustering coefficient, characteristic path length, small worldness and density, while due to the limited neuroscientific literature, and based on similar studies regarding social and general anxiety disorders (Ionescu, Niciu, Mathews, Richards, & Zarate, 2013;Knyazev, 2011;Liao et al, 2011;Liu et al, 2015;Pannekoek et al, 2013;Roy et al, 2013;Sylvester et al, 2012), we expect to see differences in segregation and integration and increased connectivity in individuals suffering from MA. The novelty of this study lies with the fact that this is the first EEG study that explores the effects of self-reported MA, during a resting state condition anticipating a math-related experiment, in cortical networks' organization.…”
Section: Introductionmentioning
confidence: 99%
“…Although several converging findings suggest that delta-beta coupling increases in response to acute stressors (Knyazev et al, 2006;Miskovic et al, 2010;Knyazev, 2011), its relationship to affective traits is less clear. For instance, although van Peer et al (2008) report increased delta-beta coupling in males with increased trait behavioral inhibition (which is closely related to trait anxiety), Velikova et al (2010) reported reduced delta-beta coupling in anxiety disorder patients (obsessive compulsive disorder patients who as a rule report increased trait anxiety; e.g., Foa et al, 1993).…”
Section: Introductionmentioning
confidence: 99%