title: [Slow alpha in the EEG power spectrum as an indicator for conceptual arousal].
abstract: Based on previous findings (Bösel et al., 1990) it was assumed that in concept learning tasks generating on hypotheses on a concept which has to be developed is accompanied by increases of the Alpha 1 power (7.5-10 Hz) in the spontaneous EEG activity. In this study 16 subjects performed five problem solving tasks with similar processing requirements. EEG data were analyzed by means of post hoc comparisons of subjects differing in performance quality. Additionally, four control tasks were employed in which, based on previous studies, variations in the Theta frequency range were expected. An effect in the Alpha 1 frequency band was observed in tasks requiring reconstructive recall or testing the usefulness of an mathematical algorithm. The creation of a rank order or mental map is accompanied by power increases in the lower portions of the Alpha 1 frequency band (7.5-8.5 Hz). Moreover a high amount of controlled variance (eta2 up to 34%) was obtained for this effect. Increases in EEG Theta power, which presumably indicate subjects' component analysis, were found before the subjects recognized parts of geometric figures or before relevant features in the "buddhist monk problem" were discriminated. The dynamics of EEG power over time is in examples of frequency/time plots in a figure, illustrated.
authors.affiliation: Psychologisches Institut, Freien Universität Berlin.
authors.forename: R
authors.initials: R
authors.lastname: Bösel
mesh_terms: D000328:Adult; D000513:Alpha Rhythm; D001143:Arousal / Q000502:physiology*; D001288:Attention / Q000502:physiology*; D002540:Cerebral Cortex / Q000502:physiology; D003210:Concept Formation / Q000502:physiology*; D004569:Electroencephalography / Q000295:instrumentation*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D011340:Problem Solving / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*
vernacular_title: Langsames Alpha im EEG-Powerspektrum als Indikator für konzeptuelle Beanspruchung.