Complexity of electrocortical dynamics in children: Developmental aspects

Anokhin, Andrey P.; Lutzenberger, Werner; Nikolaev, Andrey R.; Birbaumer, Niels

doi:10.1002/(sici)1098-2302(200001)36:1<9::aid-dev2>3.0.co;2-5

Cited by 57 publications

(35 citation statements)

References 38 publications

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“…A quadratic relationship meant that complexity values tended to increase until they reached a maximum or peak. The age of peak was variable and particular for each brain region but, interestingly, it basically coincides with the upper limit of Anokhin's group samples (Anokhin et al, 1996;Anokhin et al, 2000) where linear behaviours were described. This is to say that, in our sample, complexity peaks were reached by the sixth decade of life in most brain regions.…”

Section: Discussionsupporting

confidence: 57%

“…When compared with previous investigations (Anokhin et al, 1996, Anokhin et al, 2000Meyer-Lindenberg 1996, McIntosh et al, 2008Pravitha et al, 2005), three major coincidences were observed: (1) complexity values tended to increase as a function of age, (2) although such increase was present in all brain regions, complexity values in anterior and central regions were significantly higher compared with other regions (see Fig. 4), probably mirroring the greater functional and anatomical intricacy of frontal lobes (Fuster, 2002) and (3) females exhibited higher complexity values than males, although in our study this effect was only significant in anterior, central and posterior regions.…”

Section: Discussionmentioning

confidence: 83%

“…Gender effects on maturational changes were not investigated in these first studies. In an ulterior investigation, Anokhin's group analysed dimensional complexity values in a new sample, now including healthy females with an age range from 7 to 66 years (Anokhin et al, 2000). Age effects were identical to those observed in their previous study.…”

Section: Introductionmentioning

confidence: 71%

“…Although there is no straightforward explanation for a greater complexity in females' brain signals, this finding appeared in all studies investigating gender influences on complexity values (Anokhin et al, 2000;Pravitha et al, 2005).…”

Section: Discussionmentioning

confidence: 94%

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Brain oscillatory complexity across the life span

Fernández

Zuluaga

Abásolo

et al. 2012

Clinical Neurophysiology

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Objective: Considering the increasing use of complexity estimates in neuropsychiatric populations, a normative study is critical to define the 'normal' behaviour of brain oscillatory complexity across the life span. Method:This study examines changes in resting-state magnetoencephalogram (MEG) complexity -quantified with the Lempel-Ziv complexity (LZC) algorithm -due to age and gender in a large sample of 222 (100 males/122 females) healthy participants with ages ranging from 7 to 84 years.Results: A significant quadratic (curvilinear) relationship (p < 0.05) between age and complexity was found, with LZC maxima being reached by the sixth decade of life.Once that peak was crossed, complexity values slowly decreased until late senescence.Females exhibited higher LZC values than males, with significant differences in the anterior, central and posterior regions (p < 0.05). Conclusions:These results suggest that the evolution of brain oscillatory complexity across the life span might be considered a new illustration of a 'normal' physiological rhythm.Significance: Previous and forthcoming clinical studies using complexity estimates might be interpreted from a more complete and dynamical perspective. Pathologies not 3 only cause an 'abnormal' increase or decrease of complexity values but they actually 'break' the 'normal' pattern of oscillatory complexity evolution as a function of age.Keywords: Life Span, Ageing, Complexity, Brain Development, White Matter Development Highlights 1. A significant quadratic (curvilinear) relationship between age and oscillatory complexity exists, with complexity maxima reached by the sixth decade of life.2. As in previous studies, females exhibit higher complexity values than males, at least in some brain regions.3. The evolution of oscillatory complexity across the life span is interpreted as a physiological rhythm which is altered by several brain pathologies.

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Section: Discussionsupporting

confidence: 57%

Section: Discussionmentioning

confidence: 83%

Section: Introductionmentioning

confidence: 71%

Section: Discussionmentioning

confidence: 94%

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Brain oscillatory complexity across the life span

Fernández

Zuluaga

Abásolo

et al. 2012

Clinical Neurophysiology

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“…Parietal asymmetry has been examined in many studies of child behavior and development (Baving et al, 2003;Jones et al, 2001;Anokhin et al, 2000) and these sites are differentially involved in brain development (Anokhin et al, 2000;Martincovic et al, 1998;Gasser et al, 1988b;Thatcher et al, 1987;Matousek and Petersen, 1973). While stability of parietal EEG asymmetry in children is not yet known, in adults the coefficients range from about 0.6 to 0.7 (Vuga et al, 2006;Hagemann et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

Long-term stability of electroencephalographic asymmetry and power in 3 to 9 year-old children

Vuga

Fox

Cohn

et al. 2008

International Journal of Psychophysiology

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We investigated test-retest stability of resting EEG asymmetry and power in the alpha frequency range across a 0.6 -to 3-year interval in 125 children (57 girls and 68 boys) for two age groups, 87 preschool children (3 to 5 year-olds) and 38 school-age children (6 to 9 year-olds). Children were from families with a parent's history of unipolar or bipolar depression (36 girls and 43 boys) or control families with no parent history of depression nor any other psychiatric disorder (21 girls and 25 boys). Frontal EEG asymmetry stability was low to moderate; intraclass correlations ranged from zero to 0.48 in the eyes-open condition, and from 0.19 to 0.45 in the eyes-closed condition. Also, parietal EEG asymmetry was low to moderate; intraclass correlations ranged from 0.21 to 0.52 in the eyes-open condition and from 0.27 to 0.72 in the eyes-closed condition. Stability of EEG asymmetry was not related to age, sex of the child, or parent's history of mood disorder. Frontal and parietal EEG power appeared moderately to highly stable. Intraclass correlations were between 0.65 and 0.86 in the eyes-open condition and between 0.52 and 0.90 in the eyes-closed condition. Although stability of EEG power was not statistical significantly different between preschool and school-age children, it consistently showed higher stability values in school-age children than in preschool children. Stability in school-aged children approached values as has been reported for adults. The findings provide partial support to the concept of frontal EEG asymmetry as a trait marker in childhood.

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HIRREM™: a noninvasive, allostatic methodology for relaxation and auto‐calibration of neural oscillations

Gerdes¹,

Gerdes²,

Lee³

et al. 2013

Brain and Behavior

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Disturbances of neural oscillation patterns have been reported with many disease states. We introduce methodology for HIRREM™ (high-resolution, relational, resonance-based electroencephalic mirroring), also known as Brainwave Optimization™, a noninvasive technology to facilitate relaxation and auto-calibration of neural oscillations. HIRREM is a precision-guided technology for allostatic therapeutics, intended to help the brain calibrate its own functional set points to optimize fitness. HIRREM technology collects electroencephalic data through two-channel recordings and delivers a series of audible musical tones in near real time. Choices of tone pitch and timing are made by mathematical algorithms, principally informed by the dominant frequency in successive instants of time, to permit resonance between neural oscillatory frequencies and the musical tones. Relaxation of neural oscillations through HIRREM appears to permit auto-calibration toward greater hemispheric symmetry and more optimized proportionation of regional spectral power. To illustrate an application of HIRREM, we present data from a randomized clinical trial of HIRREM as an intervention for insomnia (n = 19). On average, there was reduction of right-dominant temporal lobe high-frequency (23–36 Hz) EEG asymmetry over the course of eight successive HIRREM sessions. There was a trend for correlation between reduction of right temporal lobe dominance and magnitude of insomnia symptom reduction. Disturbances of neural oscillation have implications for both neuropsychiatric health and downstream peripheral (somatic) physiology. The possibility of noninvasive optimization for neural oscillatory set points through HIRREM suggests potentially multitudinous roles for this technology. Research is currently ongoing to further explore its potential applications and mechanisms of action.

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Complexity of electrocortical dynamics in children: Developmental aspects

Cited by 57 publications

References 38 publications

Brain oscillatory complexity across the life span

Brain oscillatory complexity across the life span

Long-term stability of electroencephalographic asymmetry and power in 3 to 9 year-old children

HIRREM™: a noninvasive, allostatic methodology for relaxation and auto‐calibration of neural oscillations

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