Automatic evaluation of EEG background activity by means of age-dependent EEG quotients

Matouŝek, M; Petersén, I.

doi:10.1016/0013-4694(73)90213-7

Cited by 170 publications

(88 citation statements)

References 8 publications

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“…The EEG power decreases between late childhood and early adulthood as a curvilinear function of age, most prominently in low frequencies which have been documented Introduction extensively for over 60 years (Boord et al, 2007;Dustman et al, 1999;Eeg-Olofsson, 1970;Gasser et al, 1988;Gibbs and Knott, 1949;Matousek and Petersen, 1973;Matsuura et al, 1985;Somsen et al, 1997) and have been related to cognitive maturation (Case, 1992;John et al, 1980;Thatcher, 1994;Wackermann and Matousek, 1998). The maturational power decrease is a global phenomenon (Whitford et al, 2007); typically affecting all scalp sites, although its effect in additional topographical features has been noted (Gasser et al, 1988).…”

Section: Introductionmentioning

confidence: 98%

Brain state regulation during normal development: Intrinsic activity fluctuations in simultaneous EEG–fMRI

et al. 2012

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Brain maturation in adolescence is mirrored by the EEG as a pronounced decrease in low frequency activity. This EEG power attenuation parallels reductions of structural and metabolic markers of neuronal maturation (i.e., gray matter loss and decrease of absolute cerebral glucose utilization). However, it is largely unknown what causes these electrophysiological changes, and how this functional reorganization relates to other functional measures such as the fMRI BOLD signal. In this study, we used simultaneously recorded EEG and fMRI to localize hemodynamic correlates of fluctuating EEG oscillations and to study the development of this EEG-BOLD coupling. Furthermore, the maturational EEG power attenuation was directly compared to BOLD signal power maturation. Both analyses were novel in their developmental perspective and aimed at providing a functional lead to EEG maturation. Data from 19 children, 18 adolescents and 18 young adults were acquired in 10min eyes-open/eyes-closed resting states. Our results revealed that both EEG and BOLD amplitudes strongly decrease between childhood and adulthood, but their functional coupling remains largely unchanged. The global reduction of absolute amplitude of spontaneous slow BOLD signal fluctuation is a novel marker for brain maturation, and parallels the globally decreasing trajectories of EEG amplitudes, gray matter and glucose metabolism during adolescence. Further, the absence of thalamocortical EEG-BOLD coupling in children together with age-related normalized thalamic BOLD power increase indicated maturational changes in brain state regulation. Abstract -Brain maturation in adolescence is mirrored by the EEG as a pronounced decrease in low frequency activity. This EEG power attenuation parallels reductions of structural and metabolic markers of neuronal maturation (i.e., gray matter loss and decrease of absolute cerebral glucose utilization). However, it is largely unknown what causes these electrophysiological changes, and how this functional reorganization relates to other functional measures such as the fMRI BOLD signal. In this study, we used simultaneously recorded EEG and fMRI to localize hemodynamic correlates of fluctuating EEG oscillations and to study the development of this EEG-BOLD coupling. Furthermore, the maturational EEG power attenuation was directly compared to BOLD signal power maturation. Both analyses were novel in their developmental perspective and aimed at providing a functional lead to EEG maturation. Data from 19 children, 18 adolescents and 18 young adults were acquired in 10 min eyes-open/eyes-closed resting states. Our results revealed that both EEG and BOLD amplitudes strongly decrease between childhood and adulthood, but their functional coupling remains largely unchanged. The global reduction of absolute amplitude of spontaneous slow BOLD signal fluctuation is a novel marker for brain maturation, and parallels the globally decreasing trajectories of EEG amplitudes, gray matter and glucose metabolism during adolescence. Furthe...

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Section: Introductionmentioning

confidence: 98%

Brain state regulation during normal development: Intrinsic activity fluctuations in simultaneous EEG–fMRI

et al. 2012

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“…The resting EEG is typically characterized by oscillations of different amplitudes and frequencies. One of the major findings since the beginning of resting EEG research is that children's EEG is dominated by slower rhythms which diminish with further brain maturation (Boord et al, 2007;Clarke et al, 2001;Dustman et al, 1999;Gasser et al, 1988;Gibbs and Knott, 1949;John et al, 1980;Matousek and Petersen, 1973;Wackermann and Matousek, 1998). This effect also extends to sleep (Campbell and Feinberg, 2009;Feinberg and Campbell, 2010), and has been suspected to mirror the development of higher cognitive functions (Case, 1992;Thatcher, 1994), and deviations from normal oscillatory patterns has been associated with lagged or abnormal brain maturation (John et al, 1980).…”

Section: Introductionmentioning

confidence: 99%

EEG–BOLD correlations during (post-)adolescent brain maturation

et al. 2011

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-The transition from adolescence to adulthood is a critical stage in the human lifespan during which the brain still undergoes substantial structural and functional change. The changing frequency composition of the resting state EEG reflects maturation of brain function. This study investigated (post)adolescent brain maturation captured by two independently but simultaneously recorded neuronal signals: EEG and fMRI. Data were collected in a 20 min eyes-open/eyes-closed resting state paradigm. EEG, fMRI-BOLD signal and EEG-BOLD correlations were compared between groups of adults, age 25 (n = 18), and adolescents, age 15 (n = 18). A typical developmental decrease of low-frequency EEG power was observed even at this late stage of brain maturation. Frequency and condition specific EEG-fMRI correlations proved robust for multiple brain regions. However, no consistent change in the EEG-BOLD correlations was identified that would correspond to the neuronal maturation captured by the EEG. This result indicates that the EEG-BOLD correlation measures a distinct aspect of neurophysiological activity that presumably matures earlier, since it is less sensitive to late maturation than the neuronal activity captured by low-frequency EEG.

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“…Numerous studies demonstrated that spectral components exhibit developmental changes which reflect maturational changes in the EEG [245][246][247][248][249][250][251][252][253][254][255][256][257][258][259] [257] demonstrated that delta and theta activity were dominant until the age of 4 years, with both decreasing with age, whereas alpha and beta activity increased throughout childhood. Relative alpha amplitude increased until about age 24.…”

Section: Developmental Changes Of Sp Componentsmentioning

confidence: 99%

Short-Term EEG Spectral Pattern as a Single Event in EEG Phenomenology~!2009-11-10~!2010-02-22~!2010-09-08~!

Fingelkurts¹

2010

TONIJ

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Spectral decomposition, to this day, still remains the main analytical paradigm for the analysis of EEG oscillations. However, conventional spectral analysis assesses the mean characteristics of the EEG power spectra averaged out over extended periods of time and/or broad frequency bands, thus resulting in a "static" picture which cannot reflect adequately the underlying neurodynamic. A relatively new promising area in the study of EEG is based on reducing the signal to elementary short-term spectra of various types in accordance with the number of types of EEG stationary segments instead of using averaged power spectrum for the whole EEG. It is suggested that the various perceptual and cognitive operations associated with a mental or behavioural condition constitute a single distinguishable neurophysiological state with a distinct and reliable spectral pattern. In this case, one type of short-term spectral pattern may be considered as a single event in EEG phenomenology. To support this assumption the following issues are considered in detail: (a) the relations between local EEG short-term spectral pattern of particular type and the actual state of the neurons in underlying network and a volume conduction; (b) relationship between morphology of EEG short-term spectral pattern and the state of the underlying neurodynamical system i.e. neuronal assembly; (c) relation of different spectral pattern components to a distinct physiological mechanism; (d) relation of different spectral pattern components to different functional significance; (e) developmental changes of spectral pattern components; (f) heredity of the variance in the individual spectral pattern and its components; (g) intra-individual stability of the sets of EEG short-term spectral patterns and their percent ratio; (h) discrete dynamics of EEG short-term spectral patterns. Functional relevance (consistency) of EEG short-term spectral patterns in accordance with the changes of brain functional state, cognitive task and with different neuropsychopathologies is demonstrated.

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Automatic evaluation of EEG background activity by means of age-dependent EEG quotients

Cited by 170 publications

References 8 publications

Brain state regulation during normal development: Intrinsic activity fluctuations in simultaneous EEG–fMRI

Brain state regulation during normal development: Intrinsic activity fluctuations in simultaneous EEG–fMRI

EEG–BOLD correlations during (post-)adolescent brain maturation

Short-Term EEG Spectral Pattern as a Single Event in EEG Phenomenology~!2009-11-10~!2010-02-22~!2010-09-08~!

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