gms | German Medical Science

78. Jahresversammlung der Deutschen Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie e. V.

Deutsche Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie e. V.

16.05. - 20.05.2007, München

Model-free auditory FMRI by read-out omissions from EPI

Meeting Abstract

  • corresponding author C. Knaus - University of Würzburg, Department of Otorhinolaryngology, Würzburg, Germany
  • A. Bartsch - University of Würzburg, Department of Neuroradiology, Würzburg, Germany
  • A. Biller - University of Würzburg, Department of Neuroradiology, Würzburg, Germany
  • M. Bendszus - University of Würzburg, Department of Neuroradiology, Würzburg, Germany
  • J. Müller - University of Würzburg, Department of Otorhinolaryngology, Würzburg, Germany

German Society of Oto-Rhino-Laryngology, Head and Neck Surgery. 78th Annual Meeting of the German Society of Oto-Rhino-Laryngology, Head and Neck Surgery. Munich, 16.-20.05.2007. Düsseldorf, Köln: German Medical Science; 2007. Doc07hno018

Die elektronische Version dieses Artikels ist vollständig und ist verfügbar unter: http://www.egms.de/de/meetings/hno2007/07hno018.shtml

Veröffentlicht: 8. August 2007

© 2007 Knaus et al.
Dieser Artikel ist ein Open Access-Artikel und steht unter den Creative Commons Lizenzbedingungen (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.de). Er darf vervielf&aauml;ltigt, verbreitet und &oauml;ffentlich zug&aauml;nglich gemacht werden, vorausgesetzt dass Autor und Quelle genannt werden.


Gliederung

Text

Withholding read-out pulses quenches peak sound levels during echo-planar imaging (EPI). Thereby, read-out omissions from EPI are suited to reliably evoke auditory blood oxygenation level dependent (BOLD) signal fluctuations. Here, we re-examine a large set of auditory BOLD data recorded with read-out omissions from 60 normal hearing subjects model-free. Using probabilistic independent component analysis (PICA) and its tensorial extension to multiple subjects, we demonstrate that independent component and statistical maps from the general linear model (GLM), thresholded by mixture modelling or clustering, may attain similar sensitivities to detect auditory responses on the single-subject as well as group level. In contrast to model-based analysis, however, tensor-PICA isolated lateralized auditory responses, motion-associated edge artefacts, and other non-auditory stimulus-correlated as well as uncorrelated signals. Moreover, data-driven PICA is not affected by irregular autocorrelations or slight uncertainties of perceptual or stimulus timing. In terms of the measures of response strength, its subject (S-) mode was more sensitive to physiological and physical (e.g. scanner / coil) influences than effect size estimates derived from the GLM analysis. To further emphasize the clinical potential of read-out omissions from EPI, a male toddler with postmeningitic cochlear damage and severe binaural sensorineural hearing loss (SNHL) is reported on. In this patient, although studied under anaesthesia, PICA of our novel EPI modification established residual audition prior to cochlear implantation (CI).

Keywords: Auditory Functional Magnetic Resonance Imaging (FMRI), Probabilistic Independent Component Analysis (PICA), General Linear Model (GLM), Mixture Modelling (MM), SensoriNeural Hearing Loss (SNHL).