Event‐related potentials in panic disorder and generalized anxiety disorder

Hanatani, Takashi; Sumi, Noriaki; Taguchi, Satoki; Fujimoto, Osamu; Nan'no, Hisashige; Takeda, Masatoshi

doi:10.1111/j.1440-1819.2005.01336.x

Cited by 36 publications

(25 citation statements)

References 18 publications

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“…Typical changes in the amplitude/ time parameters of a "classic" ERP, the P300 wave, were observed in the case of high-anxiety/phobic disorders [6,7].…”

Section: Introductionmentioning

confidence: 94%

Reflection of Anxiety in the Characteristics of Evoked EEG Potentials in 10- to 11-Year-Old Children

2009

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We studied the peculiarities of the amplitude/time parameters of evoked EEG potentials (EPs) and event-related potentials (ERPs) in 10-to 11-year-old children characterized by low and high anxiety levels. The latter levels were estimated using the scale of the manifest anxiety test of Prikhozhan and projective techniques ("HouseTree-Person," HTP, and the Lüscher color test). For children with a high anxiety level, the amplitudes of the following EP components and ERPs were lower than those in low-anxiety children of the same age: P1 (predominantly in the occipital region of the left hemisphere), P2 (in the right occipital region), and Р300 wave (in different loci of both hemispheres). In high-anxiety children, we also more frequently observed increased amplitudes of the N2 component in the left parietal and right occipital regions. High-anxiety individuals were characterized by longer latencies of component P1 (mostly in the right frontal and left central regions) and, at the same time, shorter latencies of component N1 (in the parietal and occipital regions of the left hemisphere and also in the right temporal region). Thus, we found that the amplitude/time characteristics of a few EP components and ERPs in children with high anxiety levels differ statistically significantly from the parameters of corresponding EPs/ERPs in individuals of the same age but with low anxiety levels.

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“…Typical changes in the amplitude/ time parameters of a "classic" ERP, the P300 wave, were observed in the case of high-anxiety/phobic disorders [6,7].…”

Section: Introductionmentioning

confidence: 94%

Reflection of Anxiety in the Characteristics of Evoked EEG Potentials in 10- to 11-Year-Old Children

2009

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“…Panic disorder is associated with higher N100 and P300 waves amplitude (Iwanami et al 1997, Knott et al 1991 and shortened P300 latency (Hanatani et al 2005, Iwanami et al 1997, although one study showed prolongation of P300 latency (Turan et al 2002). No significant differences in the latency and amplitude of ERP's were found in generalized anxiety disorder (Hanatani et al 2005) as compared to healthy group. However, significantly higher error-related negativity was found, the potential emerging after a false answer (Hajcak et al 2003).…”

Section: Introductionmentioning

confidence: 95%

EEG source activity during processing of neutral stimuli in subjects with anxiety disorders

Gmaj¹,

Januszko²,

Kamiński³

et al. 2016

Acta Neurobiologiae Experimentalis

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Anxiety disorders are a social problem due to their prevalence and consequences. It is crucial to explore the influence of anxiety on cognitive processes. In this study we recorded EEG activity from 73 subjects (35 patients, 38 controls, matched for age and education) during performance of the Continuous Attention Task. We used low resolution electromagnetic tomography (LORETA) for evaluation of mechanisms of impaired cognitive performance in anxiety disorders. Analysis showed that patients with anxiety disorders committed more errors than the controls, had a short latency of P300 and higher amplitude of ERPs at all steps of stimulus processing. Furthermore, we showed that there was a relationship between the scores of Hamilton Anxiety Scale and Beck Depression Inventory, and amplitudes and latencies of ERPs. The results of LORETA analysis showed that enhanced neural responses were found within circuits mediating visual information processing, sustained attention and anxiety. Also, we found higher current density within areas playing an important role in the brain fear network -anterior cingulate and anterior part of insula. Electrophysiological neuroimaging showed greater recruitment of cognitive resources in anxiety disorders, evidenced by higher current density and activation of greater number of brain areas. Despite the strategy employed to compensate for cognitive problems, the anxiety patients did not achieve the same performance as controls. Present study demonstrates that anxiety disorders influence processing of neutral stimuli and this influence is observable at both behavioral and electrophysiological level. The data suggests instability of neural systems responsible for information selection, working memory, engagement and focusing of attention.

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“…Elevated auditory P300 amplitudes have been found in normal volunteers exposed to anxiety-provoking situations [Grillon and Ameli, 1994] and also in unprovoked anxious community-ascertained individuals [Boudarene and Timsit-Berthier, 1997;Chattopadhyay et al, 1980]. Panic disorder and obsessivecompulsive disorder (OCD) patients have been shown to have shorter P300 latencies than patients with generalized anxiety disorders (GAD) and social phobia as well as controls [Hanatani et al, 2005, Miyata et al, 1998]. A community study found that women with anxious mood, the majority of whom were alcoholic, had diminished visual P300 amplitude [Bauer et al, 2001].…”

Section: Introductionmentioning

confidence: 96%

Neurophysiological and genetic distinctions between pure and comorbid anxiety disorders

et al. 2008

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Anxiety disorders are often comorbid with major depression (MD) and alcohol use disorders (AUD). Two common functional polymorphisms in catechol-O-methyltransferase (COMT Val158Met) and brain-derived neurotrophic factor (BDNF Val66Met) genes have been implicated in the neurobiology of anxiety and depression. We hypothesized that attentional response and working memory (auditory P300 event-related potential and Weschler Adult Intelligence Scale, Revised digit symbol scores) as well as genetic vulnerability would differ between pure anxiety disorders and comorbid anxiety. Our study sample comprised 249 community-ascertained men and women with lifetime DSM-III-R diagnoses. We analyzed groups of participants with pure anxiety disorders, pure MD, pure AUD, comorbid anxiety, and no psychiatric disorder. Participants were well at the time of testing; state anxiety and depressed mood measures were at most only mildly elevated. Individuals with pure anxiety disorders had elevated P300 amplitudes (P=0.0004) and higher digit symbol scores (P<0.0001) compared with all the other groups. Individuals with comorbid anxiety had the greatest proportion of COMT Met158 and BDNF Met66 alleles (P=0.009) as well as higher harm avoidance-neuroticism (P<0.0005) than all other groups. Our results suggest that there may be two vulnerability factors for anxiety disorders with differing genetic susceptibility: (a) heightened attention and better working memory with mildly elevated anxiety-neuroticism, a constellation that may be protective against other psychopathology; and (b) poorer attention and working memory with greater anxiety-neuroticism, a constellation that may also increase vulnerability to AUD and MD. This refinement of the anxiety phenotype may have implications for therapeutic interventions.

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Event‐related potentials in panic disorder and generalized anxiety disorder

Cited by 36 publications

References 18 publications

Reflection of Anxiety in the Characteristics of Evoked EEG Potentials in 10- to 11-Year-Old Children

Reflection of Anxiety in the Characteristics of Evoked EEG Potentials in 10- to 11-Year-Old Children

EEG source activity during processing of neutral stimuli in subjects with anxiety disorders

Neurophysiological and genetic distinctions between pure and comorbid anxiety disorders

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