http://www.cnr.it/ontology/cnr/individuo/prodotto/ID20563
An ARX Model-Based Approach to Trial by Trial Identification of fMRI-BOLD Responsens (Articolo in rivista)
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- An ARX Model-Based Approach to Trial by Trial Identification of fMRI-BOLD Responsens (Articolo in rivista) (literal)
- Anno
- 2007-01-01T00:00:00+01:00 (literal)
- Alternative label
P. Baraldi; A. Manganelli; M. Maieron; D. Liberati; C. A. Porro (2007)
An ARX Model-Based Approach to Trial by Trial Identification of fMRI-BOLD Responsens
in NeuroImage (Orlando Fla., Print); Elsevier, Amsterdam (Paesi Bassi)
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- P. Baraldi; A. Manganelli; M. Maieron; D. Liberati; C. A. Porro (literal)
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- Universita' di Modena e Consiglio Nazionale delle Ricerche (literal)
- Titolo
- An ARX Model-Based Approach to Trial by Trial Identification of fMRI-BOLD Responsens (literal)
- Abstract
- Being able to estimate the fMRI-BOLD response following a single task
or stimulus is certainly of value, since it allows to characterize its
relationship to different aspects either of the stimulus, or of the
subject's performance. In order to detect and characterize BOLD
responses in single trials, we developed and validated a procedure
based on an AutoRegressive model with eXogenous Input (ARX). The
use of an individual exogenous input for each voxel makes the modeling
sensitive enough to reveal differences across regions, avoiding any a
priori assumption about the reference signal. The detection of
variability across trials is ensured by a suitable choice, for each voxel,
of the order of the moving average, which in our implementation
determines the relative delay between the recorded and the reference
signal. This is a quality useful in finding different time profiles of
activation from high temporal resolution fMRI data. The results
obtained from simulated fMRI data resulting from synthetic activations
in actual noise indicate that such approach allows to evaluate
important features of the response, such as the time to onset, and time
to peak. Moreover, the results obtained from real high temporal
resolution fMRI data acquired at l.5 T during a motor task are
consistent with previous knowledge about the responses of different
cortical areas in motor programming and execution. The proposed
procedure should also prove useful as a pre-processing step in different
approaches to the analysis of fMRI data. (literal)
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