title: A multivariate approach for processing magnetization effects in triggered event-related functional magnetic resonance imaging time series.
abstract: Triggered event-related functional magnetic resonance imaging requires sparse intervals of temporally resolved functional data acquisitions, whose initiation corresponds to the occurrence of an event, typically an epileptic spike in the electroencephalographic trace. However, conventional fMRI time series are greatly affected by non-steady-state magnetization effects, which obscure initial blood oxygen level-dependent (BOLD) signals. Here, conventional echo-planar imaging and a post-processing solution based on principal component analysis were employed to remove the dominant eigenimages of the time series, to filter out the global signal changes induced by magnetization decay and to recover BOLD signals starting with the first functional volume. This approach was compared with a physical solution using radiofrequency preparation, which nullifies magnetization effects. As an application of the method, the detectability of the initial transient BOLD response in the auditory cortex, which is elicited by the onset of acoustic scanner noise, was used to demonstrate that post-processing-based removal of magnetization effects allows to detect brain activity patterns identical with those obtained using the radiofrequency preparation. Using the auditory responses as an ideal experimental model of triggered brain activity, our results suggest that reducing the initial magnetization effects by removing a few principal components from fMRI data may be potentially useful in the analysis of triggered event-related echo-planar time series. The implications of this study are discussed with special caution to remaining technical limitations and the additional neurophysiological issues of the triggered acquisition.
authors.affiliation: Department of Neurological Sciences, University of Naples "Federico II", II Policlinico (Nuovo Policlinico) Padiglione 17, Via S. Pansini 5, 80131 Naples, Italy. faesposi@unina.it
authors.forename: Fabrizio
authors.initials: F
authors.lastname: Esposito
authors.forename: Francesco
authors.initials: F
authors.lastname: Di Salle
authors.forename: Franciszek
authors.initials: F
authors.lastname: Hennel
authors.forename: Ornella
authors.initials: O
authors.lastname: Santopaolo
authors.forename: Marcus
authors.initials: M
authors.lastname: Herdener
authors.forename: Klaus
authors.initials: K
authors.lastname: Scheffler
authors.forename: Rainer
authors.initials: R
authors.lastname: Goebel
authors.forename: Erich
authors.initials: E
authors.lastname: Seifritz
mesh_terms: D016477:Artifacts; D001303:Auditory Cortex / Q000502:physiology*; D017352:Echo-Planar Imaging / Q000379:methods*; D005072:Evoked Potentials, Auditory / Q000502:physiology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000706:statistics & numerical data*; D008279:Magnetic Resonance Imaging / Q000706:statistics & numerical data*; D008432:Mathematical Computing; D015999:Multivariate Analysis; D009474:Neurons / Q000502:physiology*; D010100:Oxygen / Q000097:blood; D025341:Principal Component Analysis; D015203:Reproducibility of Results; D013223:Statistics as Topic
chemical_list: D010100:Oxygen