title: Modeling adaptation effects in fMRI analysis.
abstract: The standard general linear model (GLM) for rapid event-related fMRI design protocols typically ignores reduction in hemodynamic responses in successive stimuli in a train due to incomplete recovery from the preceding stimuli. To capture this adaptation effect, we incorporate a region-specific adaptation model into GLM. The model quantifies the rate of adaptation across brain regions, which is of interest in neuroscience. Empirical evaluation of the proposed model demonstrates its potential to improve detection sensitivity. In the fMRI experiments using visual and auditory stimuli, we observed that the adaptation effect is significantly stronger in the visual area than in the auditory area, suggesting that we must account for this effect to avoid bias in fMRI detection.
authors.affiliation: Computer Science and Artificial Intelligence Laboratory, MIT, USA.
authors.forename: Wanmei
authors.initials: W
authors.lastname: Ou
authors.forename: Tommi
authors.initials: T
authors.lastname: Raij
authors.forename: Fa-Hsuan
authors.initials: FH
authors.lastname: Lin
authors.forename: Polina
authors.initials: P
authors.lastname: Golland
authors.forename: Matti
authors.initials: M
authors.lastname: Hämäläinen
mesh_terms: D000222:Adaptation, Physiological / Q000502:physiology*; D000465:Algorithms; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D003198:Computer Simulation; D005071:Evoked Potentials / Q000502:physiology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008959:Models, Neurological; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity