Frequency of the Alpha Activity Spectral Peak and Psychopathological Symptoms in Schizophrenia

Garakh, Zhanna; Novototsky-Vlasov, V.Y.; Zaitseva, Yu. S.; Rebreikina, Anna; Стрелец, В. Б.

doi:10.1007/s11055-012-9680-1

Cited by 8 publications

(9 citation statements)

References 21 publications

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“…While peak frequency correlated with illness chronicity, a significant group-wise difference in peak frequency was not observed. This observation may be due in part to similar levels of positive and negative symptoms, which have been shown to have differential effects on peak frequency (Garakh et al, 2011). Nevertheless, neither positive or negative symptom severity, nor the combined profile correlated with peak alpha frequency.…”

Section: Alpha Peak Frequency Considerationsmentioning

confidence: 87%

“…Possibly related to reported alterations in frequency bands below the alpha range, prior research has reported a slowing of the EEG alpha frequency peak in schizophrenia at rest (Clementz et al, 1994;Cañive et al, 1996;Harris et al, 2006;Garakh et al, 2011), in response to SSVEP stimulation (Jin et al, 2000), as well as during a working memory task (Haenschel et al, 2009). Building on these findings and the high intra-individual reliability of alpha peak frequency (Salinsky et al, 1991), transcranial magnetic stimulation (TMS) studies have utilized Fig.…”

Section: Alpha Peak Frequency Considerationsmentioning

confidence: 99%

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Topographic deficits in alpha-range resting EEG activity and steady state visual evoked responses in schizophrenia

Goldstein

Peterson

Sanguinetti

et al. 2015

Schizophrenia Research

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Section: Alpha Peak Frequency Considerationsmentioning

confidence: 87%

Section: Alpha Peak Frequency Considerationsmentioning

confidence: 99%

Topographic deficits in alpha-range resting EEG activity and steady state visual evoked responses in schizophrenia

Goldstein

Peterson

Sanguinetti

et al. 2015

Schizophrenia Research

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“…27,36,37 Some studies reported reduced spontaneous alpha oscillation especially at anterior regions, [38][39][40] and some reported increased alpha power at posterior areas in patients with schizophrenia. 41,42 This may indicate that there is a common abnormal pattern at posterior regions of the brain in both BD and schizophrenia; an abnormal pattern of synaptic elements and neuronal connections that may lead to deficits in alpha synchronizing mechanisms and neuronal excitability at posterior regions of the brain. Also, inconsistent observations of alpha activity at anterior regions of the brain should be further investigated in both disorders.…”

Section: Discussionmentioning

confidence: 99%

“…Since the functions and their mechanisms in the brain are associated with EEG oscillations, Welch technique was used to determine the 5 standard frequency bands: delta (0.5-4 Hz), theta (4-8 Hz), alpha (8-13 Hz), beta (14-34 Hz), and gamma (34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44)(45). Welch technique is a commonly used method to compute the power spectrum density (PSD) of a time sequence.…”

Section: Spectral Analysismentioning

confidence: 99%

Abnormalities of Alpha Activity in Frontocentral Region of the Brain as a Biomarker to Diagnose Adolescents With Bipolar Disorder

et al. 2019

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Objectives. To investigate brain abnormalities in adolescents with new-onset bipolar disorder (BD) during acute hypomanic and depressive episodes using electroencephalogram (EEG) analysis and to derive a computer-based method for diagnosis of the disorder. Methods. EEG spectral power and entropy of 21 adolescents with BD (included 11 patients in the hypomanic episode and 10 patients in the depressive episode) and 18 healthy adolescents were compared. Moreover, using significant differences and K-nearest-neighbors (KNN) classifier, it was attempted to distinguish the BD adolescents from normal ones. Results. The BD adolescents had higher values of spectral power in all frequency bands, particularly in the frontocentral, mid-temporal, and right parietal regions. Also, spectral entropy had significantly increased in delta, alpha, and gamma frequency bands for BD. A high accuracy of 95.8% was achieved by all significant differences in the alpha band in discriminating adolescents with BD. The depressive state showed higher values of spectral power and entropy in low-frequency bands (delta and theta) compared to the hypomanic state. Conclusion. Based on BD symptoms, especially inattention, increased alpha power is a rational finding which is associated with thalamus dysfunction. Thus, it seems that EEG alpha oscillation is the main source of abnormality in BD. Furthermore, EEG slowing in the depressive episode is related to inhibition of electrical activity and reduced cognitive functions.

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“…The frequency of alpha waves visible in the electrencephalogram (EEG) is a remarkably stable trait in healthy humans with a population standard deviation of only about 1 Hz (Grandy et al ., ; Niedermeyer, ). Larger deviations from this physiological alpha range have been associated with pathological processes, such as deteriorating working memory performance (Klimesch et al ., ; Richard Clark et al ., ), negative symptoms in schizophrenia (Garakh et al ., ), Alzheimer's disease (Moretti et al ., ; Ponomareva et al ., ), or addiction (Domino et al ., ). Alpha frequency, amplitude and phase also show physiological correlations with cognitive performance, visual attention, memory and complex, abstract tasks (Angelakis et al ., ; Busch and VanRullen, ; Hanslmayr et al ., ; Klimesch, ).…”

Section: Introductionmentioning

confidence: 99%

Alpha‐wave frequency characteristics in health and insomnia during sleep

Schwabedal

Riedl

Penzel

et al. 2016

Journal of Sleep Research

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SUMMARYAppearances of alpha waves in the sleep electrencephalogram indicate physiological, brief states of awakening that lie in between wakefulness and sleep. These microstates may also cause the loss in sleep quality experienced by individuals suffering from insomnia. To distinguish such pathological awakenings from physiological ones, differences in alphawave characteristics between transient awakening and wakefulness observed before the onset of sleep were studied. In polysomnographic datasets of sleep-healthy participants (n = 18) and patients with insomnia (n = 10), alpha waves were extracted from the relaxed, wake state before sleep onset, wake after sleep-onset periods and arousals of sleep. In these, alpha frequency and variability were determined as the median and standard deviation of inverse peak-to-peak intervals. Before sleep onset, patients with insomnia showed a decreased alpha variability compared with healthy participants (P < 0.05). After sleep onset, both groups showed patterns of decreased alpha frequency that was lower for wake after sleep-onset periods of shorter duration. For patients with insomnia, alpha variability increased for short wake after sleep-onset periods. Major differences between the two groups were encountered during arousal. In particular, the alpha frequency in patients with insomnia rebounded to wake levels, while the frequency in healthy participants remained at the reduced level of short wake after sleeponset periods. Reductions in alpha frequency during wake after sleeponset periods may be related to the microstate between sleep and wakefulness that was described for such brief awakenings. Reduced alpha variability before sleep may indicate a dysfunction of the alpha generation mechanism in insomnia. Alpha characteristics may also prove valuable in the study of other sleep and attention disorders.

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Frequency of the Alpha Activity Spectral Peak and Psychopathological Symptoms in Schizophrenia

Cited by 8 publications

References 21 publications

Topographic deficits in alpha-range resting EEG activity and steady state visual evoked responses in schizophrenia

Topographic deficits in alpha-range resting EEG activity and steady state visual evoked responses in schizophrenia

Abnormalities of Alpha Activity in Frontocentral Region of the Brain as a Biomarker to Diagnose Adolescents With Bipolar Disorder

Alpha‐wave frequency characteristics in health and insomnia during sleep

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