Author Correction: Individual alpha peak frequency is slower in schizophrenia and related to deficits in visual perception and cognition

AbstractThe brain at rest generates cycles of electrical activity that have been shown to be abnormal in people with schizophrenia. The alpha rhythm (~ 10 Hz) is the dominant resting state electrical cycle and each person has a propensity toward a particular frequency of oscillation for this rhythm. This individual alpha peak frequency (IAPF) is hypothesized to be central to visual perceptual processes and may have downstream influences on cognitive functions such as attention, working memory, or problem solving. In the current study we sought to determine whether IAPF was slower in schizophrenia, and whether lower IAPF predicted deficits in visual perception and cognition that are often observed in schizophrenia. Eyes-closed resting state EEG activity, visual attention, and global cognitive functioning were assessed in individuals with schizophrenia (N = 104) and a group of healthy controls (N = 101). Compared to controls, the schizophrenia group showed slower IAPF and was associated with poorer discrimination of visual targets and nontargets on a computerized attention task, as well as impaired global cognition measured using neuropsychological tests across groups. Notably, disruptions in visual attention fully mediated the relationship between IAPF and global cognition across groups. The current findings demonstrate that slower alpha oscillatory cycling accounts for global cognitive deficits in schizophrenia by way of impairments in perceptual discrimination measured during a visual attention task.

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Individual Alpha Peak Frequency, an Important Biomarker for Live Z-Score Training Neurofeedback in Adolescents with Learning Disabilities

Brain Sciences ◽

10.3390/brainsci11020167 ◽

2021 ◽

Vol 11 (2) ◽

pp. 167

Author(s):

Rubén Pérez-Elvira ◽

Javier Oltra-Cucarella ◽

José Antonio Carrobles ◽

Minodora Teodoru ◽

Ciprian Bacila ◽

...

Keyword(s):

Learning Disabilities ◽

Pediatric Population ◽

Peak Frequency ◽

Normative Values ◽

Z Score ◽

Absolute Power ◽

The Individual ◽

And Behavior ◽

The Waves ◽

Alpha Peak

Learning disabilities (LDs) have an estimated prevalence between 5% and 9% in the pediatric population and are associated with difficulties in reading, arithmetic, and writing. Previous electroencephalography (EEG) research has reported a lag in alpha-band development in specific LD phenotypes, which seems to offer a possible explanation for differences in EEG maturation. In this study, 40 adolescents aged 10–15 years with LDs underwent 10 sessions of Live Z-Score Training Neurofeedback (LZT-NF) Training to improve their cognition and behavior. Based on the individual alpha peak frequency (i-APF) values from the spectrogram, a group with normal i-APF (ni-APF) and a group with low i-APF (li-APF) were compared in a pre-and-post-LZT-NF intervention. There were no statistical differences in age, gender, or the distribution of LDs between the groups. The li-APF group showed a higher theta absolute power in P4 (p = 0.016) at baseline and higher Hi-Beta absolute power in F3 (p = 0.007) post-treatment compared with the ni-APF group. In both groups, extreme waves (absolute Z-score of ≥1.5) were more likely to move toward the normative values, with better results in the ni-APF group. Conversely, the waves within the normal range at baseline were more likely to move out of the range after treatment in the li-APF group. Our results provide evidence of a viable biomarker for identifying optimal responders for the LZT-NF technique based on the i-APF metric reflecting the patient’s neurophysiological individuality.

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The relationship between individual alpha peak frequency and clinical outcome with repetitive Transcranial Magnetic Stimulation (rTMS) treatment of Major Depressive Disorder (MDD)

Brain Stimulation ◽

10.1016/j.brs.2019.07.018 ◽

2019 ◽

Vol 12 (6) ◽

pp. 1572-1578 ◽

Cited By ~ 4

Author(s):

Juliana Corlier ◽

Linda L. Carpenter ◽

Andrew C. Wilson ◽

Eric Tirrell ◽

A. Polly Gobin ◽

...

Keyword(s):

Major Depressive Disorder ◽

Transcranial Magnetic Stimulation ◽

Clinical Outcome ◽

Depressive Disorder ◽

Magnetic Stimulation ◽

Repetitive Transcranial Magnetic Stimulation ◽

Peak Frequency ◽

Major Depressive ◽

The Relationship ◽

Alpha Peak

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Shifts in broadband power and alpha peak frequency observed during long-term isolation

Scientific Reports ◽

10.1038/s41598-020-75127-0 ◽

2020 ◽

Vol 10 (1) ◽

Author(s):

Jan Weber ◽

Timo Klein ◽

Vera Abeln

Keyword(s):

Sensory Deprivation ◽

Peak Frequency ◽

Neuronal Population ◽

Confined Space ◽

Eyes Closed ◽

Eyes Open ◽

Eeg Recordings ◽

Induced Changes ◽

Alpha Peak

Abstract Prolonged periods of social isolation and spatial confinement do not only represent an issue that needs to be faced by a few astronauts during space missions, but can affect all of us as recently shown during pandemic situations. The fundamental question, how the brain adapts to periods of sensory deprivation and re-adapts to normality, has only received little attention. Here, we use eyes closed and eyes open resting-state electroencephalographic (EEG) recordings to investigate how neural activity is altered during 120 days of isolation in a spatially confined, space-analogue environment. After disentangling oscillatory patterns from 1/f activity, we show that isolation leads to a reduction in broadband power and a flattening of the 1/f spectral slope. Beyond that, we observed a reduction in alpha peak frequency during isolation, but did not find strong evidence for isolation-induced changes that are of oscillatory nature. Critically, all effects reversed upon release from isolation. These findings suggest that isolation and concomitant sensory deprivation lead to an enhanced cortical deactivation which might be explained by a reduction in the mean neuronal population firing rate.

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