Comparison of the distributions of classical and adaptively aligned EEG power spectra

Hooper, G. S.

doi:10.1016/j.ijpsycho.2004.07.008

Cited by 34 publications

(25 citation statements)

References 20 publications

(22 reference statements)

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“…These experimental results revile the Michael Nikolaevich Livanov's and John Eccles hypothesis about inhibitory role of delaying the rhythmic waves generated in thalamus for brain self control and mind [1,39]. Among different alpha frequency measurements (individual alpha peak frequency, mean and center gravity) IAPF is believed to reflect aggregate alpha generation [15,35]. It is evident now that IAPF reflects individual genetic influences on the underlying neural mechanisms of the generation of alpha activity [35,37].…”

Section: So the Casupporting

confidence: 51%

“…So it's possible to define 3 main groups of the alpha activity indices: 1) the frequency of the dominant posterior EEG rhythm [11,12], which is assessed as individual alpha peak frequency in an eyes-closed condition (IAPF) [13][14][15]; 2) the amount of alpha amplitude suppression in response to eyes-open [12,16,17] which defines the activation magnitude, and the width of the frequency range in which amplitude suppression occurs, or alpha band width [7,18]; 3) the "autorhythmicity" (or bursting/spindle forming process), which is result of phase resetting process [19][20][21] (Figure 1). through childhood till pubertal age [22,23] and decreases after 40 years of age [24].…”

Section: Introductionmentioning

confidence: 99%

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Comments for Current Interpretation EEG Alpha Activity: A Review and Analysis

Bazanova¹

2012

JBBS

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Introduction: Exploring the EEG alpha oscillations generates considerable interest because there is well known its role in cognitive and psycho emotional aspects of human life. However, till now there isn't well determined definition what is alpha activity phenomena and which indices are characterize it. Method: This article focuses on the attempt to determine EEG alpha-activity phenomena, its physical, molecular and morphological nature, to highlight its indices and their role in optimal functioning. Results: Specifically, this article examines individual alpha activity indices: 1) the individual alpha peak frequency; 2) activation magnitude measured by estimation the amount of alpha amplitude suppression in response to eyes open and individual alpha band width; 3) three alpha "autorhythmicity" indices: intra-spindle amplitude variability, spindle length and steepness. Conclusions: Throughout, the article provides a number of suggestions which alpha activity indices and in which conditions could be applied in psycho physiological investigations, what is their role in optimal functioning and what are possible directions for future research.

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Section: So the Casupporting

confidence: 51%

Section: Introductionmentioning

confidence: 99%

Comments for Current Interpretation EEG Alpha Activity: A Review and Analysis

Bazanova¹

2012

JBBS

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“…The Fourier analysis remains one of the most popular analytical techniques in the field and though not the only measure it has become more widespread due to the advent of powerful personal computers which in turn have facilitated research in understanding the EEG (Niedermeyer, 2004). The Fourier transform has enabled researchers and clinicians to define a number of components of alpha wave activity, including spectral alpha peak frequency, the reaction activation or Berger-effect, the frequency of individual alpha sub-bands, and the power in Aftanas, 2008;Hooper, 2005). Thus, such developments have made it possible to study and discuss a number of alpha activity indices, including the dominant amplitude and frequency as well as how they change across various conditions.…”

Section: Quantitative Eegmentioning

confidence: 99%

“…Meanwhile the individual alpha frequency could be measured not only by peak frequency, but as the mean frequency in a fixed range or center of gravity in some individual range (Hooper, 2005) Thus, it is possible to conclude that distinct behavioral strategies observed in dominant low vs. high alpha peak frequency subjects and different functional appearances of alpha activity in lower and upper frequency sub-bands could be due to genetic and epigenetic factors influencing the individual waking EEG patterns. Such differences could reflect distinct neurophysiological mechanisms of brain activation in both low and high alpha frequency ranges.…”

Section: Alpha Frequency Assessment Approachesmentioning

confidence: 99%

Interpreting EEG alpha activity

Bazanova

Вернон

2014

Neuroscience & Biobehavioral Reviews

401

290

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Exploring EEG alpha oscillations has generated considerable interest, in particular with regards to the role they play in cognitive, psychomotor, psycho-emotional and physiological aspects of human life. However, there is no clearly agreed upon definition of what constitutes 'alpha activity' or which of the many indices should be used to characterize it.To address these issues this review attempts to delineate EEG alpha-activity, its physical, molecular and morphological nature, and examine the following indices: (1) the individual alpha peak frequency; (2) activation magnitude, as measured by alpha amplitude suppression across the individual alpha bandwidth in response to eyes opening, and (3) alpha "auto-rhythmicity" indices: which include intra-spindle amplitude variability, spindle length and steepness.Throughout, the article offers a number of suggestions regarding the mechanism(s) of alpha activity related to inter and intra-individual variability. In addition, it provides some insights into the various psychophysiological indices of alpha activity and highlights their role in optimal functioning and behavior.Key words: individual alpha peak frequency, individual alpha bandwidth, alpha amplitude suppression, spindle-form segments length, intra-spindle amplitude variability Highlights 1. Alpha indices are amplitude, peak frequency, band width and spindle structure 2. Alpha peak frequency could be an endophenotypic marker 3. Alpha band width and amplitude suppression reflect activation 4. The spindle-form, segment length and amplitude reflect a neuronal ensemble property 5. Alpha activity is manifested depending on the individual alpha peak frequency 2

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“…Many scientists (Boldyreva et al, 2009; Sorokin et al, 2006; Bazanova, Stark, 2007;Bazanova, Aftanas, 2007;Anokhin et al, 2006;Christian et al, 1996: Clark et al, 2004Hooper, 2005) have found that a significant informative importance in determining the state of the human main physiological functions was evidenced by individual values of the amplitude-frequency characteristics of α-rhythm, including its modal frequency. According to Bazanova and Stark (2007), Kristeva et al (2005) optimal coordination processes of movements and the capacity for the self-control are positively correlated with an individual capacity of α-EEG range and negatively with tensions of facial muscles (forehead) being not involved while exercising voluntary MMs.…”

mentioning

confidence: 99%

Мозкові Процеси Жінок Із Різною Модальною Альфа-Частотою Під Час Виконання Силових Мануальних Рухів

Morenko¹,

Korzhik²

2016

Biol. Bull. of Bogdan Chmelnitskiy Melitopol St. Pedag. Univ.

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The study involved 136 females of 19-21 years with high and low individual α-modal EEG frequency. We evaluated a simple sensomotor reaction and the choice stepping time, speed capabilities of neural processes during Finger-Tapping Test, as well as performance capacity and coherence of EEG frequency components. These parameters were specified individually, at rest, during doubling and unclenching the fist with power load. Women with high frequency of the α-rhythm were characterized by higher level of selective attention and local changes in the electrical activity of the cerebral cortex. Females with low a-frequency have less differentiated features of cortex activation, which can be caused by lower ductility of brain processes under power load and setting pace. Women with high α-frequency had better speed performance in terms of sense-motor response.Keywords: modal individual frequency alpha rhythm, power manual movements, EEG, power, coherence, psyсhodynamiс properties.Моренко А.Г., Коржик О.В. МОЗКОВІ ПРОЦЕСИ ЖІНОК ІЗ РІЗНОЮ МОДАЛЬНОЮ АЛЬФА-ЧАСТОТОЮ ПІД ЧАС ВИКОНАННЯ СИЛОВИХ МАНУАЛЬНИХ РУХІВСхідноєвропейський національний університет імені Лесі Українки 43000, Україна, Луцьк, пр. Волі 13 Email: alevmore@gmail.com, olga.korgik@gmail.com Обстежено 136 жінок віком 19−21 року з високою і низькою фоновою індивідуальною модальною α-частотою електроенцефалограми. Оцінювали час простої сенсомоторної реакції та реакції вибору, швидкісні можливості нервових процесів під час теппінг-тестування, показники потужності та когерентності частотних компонентів електроенцефалограми, визначених у кожної обстежуваної індивідуально, у стані спокою, під час стискання і розтискання пальців кисті із силовим навантаженням. Жінок із вихідною високою частотою α-ритму відзначає вищий рівень вибірковості уваги й локальніші зміни електричної активності кори головного мозку. Для осіб із низькою α-частотою притаманні дещо менш диференційовані особливості активації кори, що можуть відзначатися меншою пластичністю мозкових процесів за умови застосування силового навантаження і дотриманні встановленого темпу. Жінки з високою α-частотою мали кращі швидкісні показники сенсо-моторного реагування.ISSN 2225-5486 (Print), ISSN 2226-9010 (Online). Біологічний вісник МДПУ. 2016 Украина, Луцк, пр. Воли 13 Email: alevmore@gmail.com, olga.korgik@gmail.com Обследованы 136 женщин в возрасте 19-21 года с высокой и низкой фоновой индивидуальной модальной α-частотой ЭЭГ. Оценивали время простой сенсомоторной реакции и реакции выбора, скоростные возможности нервных процессов при теппинг-тестировании, показатели мощности и когерентности частотных компонентов ЭЭГ, определенных у каждого обследуемого индивидуально, в состоянии покоя, во время сжимания и разжимания пальцев кисти с силовой нагрузкой. Женщин с исходной высокой частотой α-ритма отличает высший уровень избирательности внимания и более локальные изменения электрической активности коры головного мозга. Для лиц с низкой α-частотой присущи несколько менее дифференцированные особенности активации ко...

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Comparison of the distributions of classical and adaptively aligned EEG power spectra

Cited by 34 publications

References 20 publications

Comments for Current Interpretation EEG Alpha Activity: A Review and Analysis

Comments for Current Interpretation EEG Alpha Activity: A Review and Analysis

Interpreting EEG alpha activity

Мозкові Процеси Жінок Із Різною Модальною Альфа-Частотою Під Час Виконання Силових Мануальних Рухів

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