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Forschungsdatenbank PMU-SQQUID

Preserved oscillatory response but lack of mismatch negativity in patients with disorders of consciousness
Holler, Y; Bergmann, J; Kronbichler, M; Crone, JS; Schmid, EV; Golaszewski, S; Ladurner, G
CLIN NEUROPHYSIOL. 2011; 122(9): 1744-1754.
Originalarbeiten (Zeitschrift)


Bergmann Jürgen
Crone Julia
Golaszewski Stefan
Höller Yvonne
Kronbichler Martin
Schmid Elisabeth


Objective: The diagnostic validity of non-phase-locked oscillations (NPLOs) and mismatch negativity (MMN) in an oddball task for assessing attentional reactivity in patients with disordered consciousness was examined. Methods: Patients in a minimally conscious (MCS, n = 6) or vegetative (VS, n = 16) state and healthy controls (n = 15) were assessed. MMN and NPLOs were analyzed with single-subject, non-parametric statistics. Results: In 11 healthy controls and 2 VS patients, MMN was detected. More subjects showed NPLO differences in the alpha than in the theta or beta frequency ranges. In 14 healthy controls, 4 MCS patients, and 5 VS patients, lower amplitudes after deviants were found in the alpha frequency range. One healthy subject and one VS patient showed higher amplitudes after deviants. Conclusions: Neither ERPs nor NPLOs could reliably distinguish MCS from VS patients. However, NPLOs were more sensitive than ERPs for detecting significantly different activity, and they possibly identified preserved processing better than ERPs. Significance: Intact neurophysiological attentional responses observed in the NPLOs of VS patients may indicate a need for other diagnostic techniques. Inter-individual differences in the direction of the effect should be considered as normal variance. (C) 2011 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Useful keywords (using NLM MeSH Indexing)




Evoked Potentials/physiology




Middle Aged

Persistent Vegetative State/diagnosis*

Persistent Vegetative State/physiopathology*

Sensitivity and Specificity

Signal Processing, Computer-Assisted*

Statistics, Nonparametric

Find related publications in this database (Keywords)

Single-subject analysis
Non-parametric statistics
Wavelet analysis