title: Global dimensional complexity of the EEG in healthy volunteers.
abstract: In contrast to the single-channel dimensional complexity, the global dimensional complexity is calculated from a multichannel EEG. The intention with the method is to measure the spatial distribution of information processing in the brain. The method seems to be of interest in psychopharmacological research, but the interpretation of the results in physiological terms is rather difficult. To get a more detailed information on the physiological significance of the EEG complexity measures, the influence of well-known physiological factors was studied in a group of 14 healthy subjects aged from 1.5 to 61 years. It was found that the correlation dimension was somewhat higher in older individuals, but the correlation with age was not statistically significant. However, the global correlation dimension was significantly lower during full alertness than during drowsiness. These results might reflect the changes in spatial structure of information processing, a high complexity suggesting a 'disorganisation' during drowsiness. As regards the age-dependent changes of the correlation dimension, the spatial 'flexibility' of information processing was also studied, using the differences between the 'alert' and 'drowsy' parts of the same EEG as indicator. It was found that the differences 'drowsy minus alert' were significantly related to age. A plausible interpretation seems to be that the spatial distribution of information processing is more changeable, or more flexible, in adults than in children.
authors.affiliation: Department of Clinical Neurophysiology, Sahlgrenska Hospital, Göteborg, Sweden.
authors.forename: M
authors.initials: M
authors.lastname: Matousek
authors.forename: J
authors.initials: J
authors.lastname: Wackermann
authors.forename: M
authors.initials: M
authors.lastname: Palus
authors.forename: A
authors.initials: A
authors.lastname: Berankova
authors.forename: V
authors.initials: V
authors.lastname: Albrecht
authors.forename: I
authors.initials: I
authors.lastname: Dvorak
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D001288:Attention / Q000502:physiology*; D001921:Brain / Q000502:physiology*; D002648:Child; D002675:Child, Preschool; D003627:Data Interpretation, Statistical; D004569:Electroencephalography / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D007223:Infant; D008297:Male; D008875:Middle Aged; D011570:Psychiatry; D011600:Psychopharmacology; D012894:Sleep Stages / Q000502:physiology