Inter-individual variability of oscillatory responses to subject's own name: A single-subject analysis

Yvonne Höller, Martin Kronbichler, Jürgen Bergmann, Julia Sophia Crone, Elisabeth Verena Schmid, Stefan Golaszewski, Gunther Ladurner

Research output: Contribution to journalArticlepeer-review

Abstract

In previous studies event-related potentials and oscillations in response to subject's own name have been analyzed extensively on group-level in healthy subjects and in patients with a disorder of consciousness. Subject's own name as a deviant produces a P3. With equiprobable stimuli, non-phase-locked alpha oscillations are smaller in response to subject's own name compared to other names or subject's own name backwards. However, little is known about replicability on a single-subject level.Seventeen healthy subjects were assessed in an own-name paradigm with equiprobable stimuli of subject's own name, another name, and subject's own name backwards. Event-related potentials and non-phase locked oscillations were analyzed with single-subject, non-parametric statistics.No consistent results were found either for ERPs or for the non-phase locked changes of oscillatory activities. Only 4 subjects showed a robust effect as expected, that is, a lower activity in the alpha-beta range to subject's own name compared to other conditions. Four subjects elicited a higher activity for subject's own name.Thus, analyzing the EEG reactivity in the own-name paradigm with equiprobable stimuli on a single-subject level yields a high variance between subjects. In future research, single-subject statistics should be applied for examining the validity of physiologic measurements in other paradigms and for examining the pattern of reactivity in patients.

Original languageEnglish
Pages (from-to)227-235
Number of pages9
JournalInternational Journal of Psychophysiology
Volume80
Issue number3
DOIs
Publication statusPublished - Jun 2011
Externally publishedYes

Bibliographical note

Funding Information: This research project is being supported by the Jubiläumsfonds of the National Bank of Austria (project nr. 13643 ). Thanks to Anne Heidecke, Maximilian Mühlberger, Markus Schiefecker, Philipp Schwartenbeck, and Angelika Zeller for their assistance in data recording and processing. No conflicting financial interests or commercial considerations are related to the presented issues.

Other keywords

  • Alpha
  • DOC
  • Non-parametric statistics
  • Own-name
  • Single-subject analysis
  • Wavelet analysis

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