Electroencephalographic peak alpha frequency correlates of cognitive traits

Angelakis, Efthymios; Lubar, Joel F.; Stathopoulou, Stamatina

doi:10.1016/j.neulet.2004.08.041

Cited by 82 publications

(78 citation statements)

References 8 publications

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“…Using structural equation modeling, we tested the hypothesis that individual alpha frequency (IAF) is related to cognitive performance at the level of the general factor of intelligence, or g. This hypothesis was based on the observation that IAF has been found to correlate with a broad range and variety of cognitive tasks (see Angelakis et al, 2004aAngelakis et al, , 2004bAnokhin and Vogel, 1996;Clark et al, 2004;Giannitrapani, 1985;Klimesch et al, 1990Klimesch et al, , 1993Klimesch et al, , 1996Lebedev, 1994;Mundy-Castle, 1958;Mundy-Castle and Nelson, 1960;Saletu and Grunberger, 1985;Surwillo, 1961Surwillo, , 1963Surwillo, , 1964. As predicted, we found a significant and substantial correlation (r = .40) between IAF and g that did not differ reliably between samples of younger and older adults.…”

Section: Discussionmentioning

confidence: 99%

“…Anokhin and Vogel, 1996;Ellingson, 1966;Posthuma et al, 2001;Vogel and Broverman, 1964). Several studies have reported significant correlations between IAF and verbal abilities (Angelakis et al, 2004a;Anokhin and Vogel, 1996;Mundy-Castle, 1958), memory performance (Klimesch et al, 1990(Klimesch et al, , 1993Lebedev, 1994;Saletu and Grunberger, 1985), Digit Span performance (Angelakis et al, 2004b;Clark et al, 2004), performance on the Raven matrices (Anokhin and Vogel, 1996), response control (Angelakis et al, 2004a), speed of information processing Mundy-Castle, 1958), reaction times (Surwillo, 1961(Surwillo, , 1963(Surwillo, , 1964, and indicators of general intelligence (Giannitrapani, 1985;Mundy-Castle, 1958;Mundy-Castle and Nelson, 1960). Collectively, these reports indicate that IAF is functionally related to various types of cognitive performance.…”

Section: Introductionmentioning

confidence: 98%

“…At the same time, some studies failed to detect any associations between IAF and cognitive performance (Ellingson, 1966;Posthuma et al, 2001;Vogel and Broverman, 1964). Moreover, some of the initial findings, such as correlations between IAF and verbal subtests of the Wechsler Intelligence Test (Angelakis et al, 2004a;Mundy-Castle, 1958), were not replicated in later work (Posthuma et al, 2001). However, it needs to be cautioned that many of the studies had small sample sizes.…”

Section: Introductionmentioning

confidence: 99%

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Individual alpha peak frequency is related to latent factors of general cognitive abilities

et al. 2013

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Some eighty years after the discovery of the human electroencephalogram (EEG) and its dominant rhythm, alpha (~10 Hz), the neurophysiological functions and behavioral correlates of alpha oscillations are still under debate. Similarly, the biological mechanisms contributing to the general factor of intelligence, or g, have been under scrutiny for decades. Individual alpha frequency (IAF), a trait-like parameter of the EEG, has been found to correlate with individual differences in cognitive performance and cognitive abilities. Informed by large-scale theories of neural organization emphasizing the general functional significance of oscillatory activity, the present study replicates and extends these findings by testing the hypothesis that IAF is related to intelligence at the level of g, rather than at the level of specific cognitive abilities. Structural equation modeling allowed us to statistically control for measurement error when estimating the association between IAF and intellectual functioning. In line with our hypothesis, we found a statistically reliable and substantial correlation between IAF and g (r = .40). The magnitude of this correlation did not differ significantly between younger and older adults, and captured all of the covariation between IAF and the cognitive abilities of reasoning, memory, and perceptual speed. The observed association between IAF and g provides a parsimonious explanation for the commonly observed diffuse pattern of correlations between IAF and cognitive performance. We conclude that IAF is a marker of global architectural and functional properties of the human brain.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

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Individual alpha peak frequency is related to latent factors of general cognitive abilities

et al. 2013

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“…The peak alpha frequency (PAF) corresponds to the discrete frequency with the highest power estimate in the alpha range. The specific discrete frequency of this oscillation appears correlated with mental performance at all ages, although it tends to be slowest in children and the elderly [2]. Alpha oscillations are associated with memory function: they decline in old age and Alzheimer's disease and can be restored by antidementia drugs.…”

Section: Visual Entrainmentmentioning

confidence: 99%

Techniques and devices to restore cognition

Serruya

Kahana

2008

Behavioural Brain Research

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Executive planning, the ability to direct and sustain attention, language and several types of memory may be compromised by conditions such as stroke, traumatic brain injury, cancer, autism, cerebral palsy and Alzheimer's disease. No medical devices are currently available to help restore these cognitive functions. Recent findings about the neurophysiology of these conditions in humans coupled with progress in engineering devices to treat refractory neurological conditions imply that the time has arrived to consider the design and evaluation of a new class of devices. Like their neuromotor counterparts, neurocognitive prostheses might sense or modulate neural function in a non-invasive manner or by means of implanted electrodes. In order to paint a vision for future device development, it is essential to first review what can be achieved using behavioral and external modulatory techniques. While non-invasive approaches might strengthen a patient's remaining intact cognitive abilities, neurocognitive prosthetics comprised of direct brain-computer interfaces could in theory physically reconstitute and augment the substrate of cognition itself.

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“…So far, attempts to develop new pharmacologic agents based on these important genetic findings have not been successful. In this regard, our plan to develop a macro-scalar (neural circuit) approach to impaired memory using alpha frequency (10Hz) rTMS is supported by evidence showing a predictive relationship between EEG alpha band power and working memory task performance [1], [4], [8], [15]. Evidence to support the relationship between cognitive deficits in patients with schizophrenia and low alpha spectrum power in the Dorso Lateral Pre-Frontal Cortex (DLPFC) of first episode, neuroleptic naïve patients with schizophrenia is also supported by the study of Ford and colleagues [5] who found reduced fronto-temporal alpha band coherence in an auditory event related potential study comparing healthy subjects with patients.…”

Section: A Multiscale Origins Of Cognitive Function and Impairmentmentioning

confidence: 99%

Towards Development of a Circuit Based Treatment for Impaired Memory: A Multidisciplinary Approach

Anderson

Preston

Silva

2007

2007 3rd International IEEE/EMBS Conference on Neural Engineering

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Abstract-The previous decade saw progress in our understanding of fundamental neural systems of the brain, particularly those sub-serving memory. For example, it is now recognized that individual power and peak frequency attributes of alpha band rhythms predict performance on a working memory task. Additionally, investigators using transcranial magnetic stimulation (TMS), a safe and non-invasive means of stimulating the awake and alert human brain, have shown TMS can mimic long-term potentiation (LTP), widely considered the neurophysiologic substrate of memory. Based on this earlier work, we designed a combined TMS-EEG study of the effects of 10Hz rTMS on psychomotor processing speed, an index of neural efficiency, on a well validated short-term verbal recognition memory task, the Sternberg. We predicted first, that compared with sham 10Hz repetitive transcranial magnetic stimulation (rTMS) would significantly reduce psychomotor processing speed indexed as reaction time (RT). Second, we predicted that improvement in RT would be associated with a 10Hz rTMS induced increase in pre-task alpha power and pre-task alpha band phase synchrony.

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Electroencephalographic peak alpha frequency correlates of cognitive traits

Cited by 82 publications

References 8 publications

Individual alpha peak frequency is related to latent factors of general cognitive abilities

Individual alpha peak frequency is related to latent factors of general cognitive abilities

Techniques and devices to restore cognition

Towards Development of a Circuit Based Treatment for Impaired Memory: A Multidisciplinary Approach

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