On the structure of EEG development

Neurosciences Branch, National Center for Scientific Research, Havana, Cuba.
Electroencephalography and Clinical Neurophysiology 08/1989; 73(1):10-9. DOI: 10.1016/0013-4694(89)90015-1
Source: PubMed


Two different descriptions of EEG maturation are compared: a broad-band spectral parameters (BBSPs) model and a recently developed xi-alpha (xi alpha) model. 'Developmental equations' were obtained for both parameter sets using 1 min, eyes closed EEG sample from 165 normal children (5-12 years old). At each age, the xi alpha parameter set described the average spectrum more closely than the BBSP developmental equations. Furthermore, a more detailed picture of changes of spectral shape with age is possible with the xi alpha model. A computer simulation illustrates the possible appearance of fixed frequency bands as a byproduct of inadequate statistical models.

1 Follower
2 Reads
  • Source
    • "Before the advent of modern computerized technologies, early developmental studies used laborious visual analysis for both longitudinal (Lindsley, 1938; Smith, 1938a; Smith, 1938b) and cross-sectional (Eeg-Olofsson, 1971; Petersen & Eeg-Olofsson, 1971) studies of children, adolescents , and adults (for a comprehensive review of these classic studies see Petersen, Sellden, & Eeg-Olofsson, 1975). These studies and later replications using computer-aided quantitative methods (e.g., Alvarez Amador et al., 1989; John, Prichep, Fridman, & Easton, 1988; Matousek & Petersen, 1973b; Petersen et al., 1975) revealed maturational trends across childhood that continued into adolescence . Few studies have focused specifically on adolescent EEG maturation (Eeg-Olofsson, 1971; Gasser, Jennen-Steinmetz, et al., 1988; Gasser, Verleger, Bacher, & Sroka, 1988), although characteristic patterns of spontaneous EEG activity over adolescent development have been reported in numerous studies spanning larger age ranges (Dustman et al., 1999; Henry, 1944; Matousek & Petersen, 1973a; Matousek & Petersen, 1973b; Matsuura et al., 1985; Petersen & Eeg-Olofsson, 1971; Petersen et al., 1975; Whitford et al., 2007). "
    [Show abstract] [Hide abstract]
    ABSTRACT: While psychological research has long shown that adolescence is a period of major cognitive and affective transition, recent neurophysiological research has shown that adolescence is also accompanied by observable maturational changes in the brain, both in terms of structure and neurotransmitter function. Given this situation, we would expect that there should be observable and perhaps major changes in electrocortical activity and responses. In this review, we discuss developmental reductions in EEG power and alterations in the dominant band of EEG oscillation frequency, moderated by developmental factors such as growth-related changes in grey and white matter, and in the developmental history of cognitive and sociocultural stressors. Similarly, we summarize alterations in event-related potential components reflecting stimulus processing, response monitoring, and response anticipation. We review the literature on such changes in EEG and event-related potentials during the adolescent period and summarize some of the new developments in the field as well as interpretative difficulties.
    Full-text · Article · Nov 2009 · Brain and Cognition
  • [Show abstract] [Hide abstract]
    ABSTRACT: A new method for quantifying irregularity of EEGs is proposed in this study. The entropy, an information measure, determines the uniformity of proportion distribution. The peakedness or flatness of the distribution of the EEG power spectrum, representing EEG rhythmicity, can be measured by the entropy, because the power spectrum consists of proportions of power at each frequency. The irregularity of the EEG was measured by the entropy of the power spectrum, called an irregularity index (II). The II was obtained from the power spectrum at F3, F4, C3, C4, P3, P4, O1 and O2 during rest and mental arithmetic in 10 normal subjects. Relative band powers of delta, theta, alpha and beta bands and alpha peak frequency were also obtained. EEGs during rest were significantly more irregular anteriorly than in the occipital areas. Alpha activity was also more irregular in the anterior region. A greater degree of EEG desynchronization during mental arithmetic was found over the left hemisphere and the right occipital area. The II was more sensitive to such desynchronization than alpha band power and alpha peak frequency. The differences in spectral structures between rest and mental arithmetic conditions, mainly over the left hemisphere, were also confirmed by the Kullback-Leibler information.
    No preview · Article · Oct 1991 · Electroencephalography and Clinical Neurophysiology
  • [Show abstract] [Hide abstract]
    ABSTRACT: For many fields of applied electroencephalography—especially in psychology, psychiatry, psychophysiology and several neurosciences—defining frequency bands for human spontaneous scalp EEG measurement is a crucial and problematic decision. Modern basic EEG research, as represented by this book, usually directs only limited attention to this issue. Whereas increased interest in time domain, evoked, and topographical EEG phenomena is to be noted, research in the frequency domain has been declining. Today choice of frequency rationales more and more seems to become “a matter of footnotes” (John et al., 1988). In particular, the frequency band issue is usually treated as a marginality. For instance, the Methods volume of the revised Handbook of Electroencephalography and Clinical Neurophysiology (Gevins and Rémond, 1987) does not offer more than a glimpse of the problem of frequency band methodology for human scalp EEG. Nevertheless, many researchers and practitioners of the disciplines mentioned above rely more and more on uniformly applied frequency band schedules as apparently self-evident rules of data reduction. Although these contrasting trends can be understood in terms of EEG research history and economy, severe objections from the scientific point of view must be brought forward.
    No preview · Chapter · Jan 1993
Show more