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Integrated fMRI Preprocessing Framework Using Extended Kalman Filter for Estimation of Slice-Wise Motion.

Author(s): Pinsard B, Boutin A, Doyon J, Benali H

Front Neurosci. 2018;12:268 Authors: Pinsard B, Boutin A, Doyon J, Benali H

Article GUID: 29755312
Re-stepping into the same river: competition problem rather than a reconsolidation failure in an established motor skill.

Author(s): Gabitov E, Boutin A, Pinsard B, Censor N, Fogel SM, Albouy G, King BR, Benali H, Carrier J, Cohen LG, Karni A, Doyon J

Sci Rep. 2017 08 24;7(1):9406 Authors: Gabitov E, Boutin A, Pinsard B, Censor N, Fogel SM, Albouy G, King BR, Benali H, Carrier J, Cohen LG, Karni A, Doyon J

Article GUID: 28839217
Beyond spindles: interactions between sleep spindles and boundary frequencies during cued reactivation of motor memory representations.

Author(s): Laventure S, Pinsard B, Lungu O, Carrier J, Fogel S, Benali H, Lina JM, Boutin A, Doyon J

Sleep. 2018 Sep 01;41(9): Authors: Laventure S, Pinsard B, Lungu O, Carrier J, Fogel S, Benali H, Lina JM, Boutin A, Doyon J

Article GUID: 30137521
Consolidation alters motor sequence-specific distributed representations.

Author(s): Pinsard B, Boutin A, Gabitov E, Lungu O, Benali H, Doyon J

Elife. 2019 Mar 18;8: Authors: Pinsard B, Boutin A, Gabitov E, Lungu O, Benali H, Doyon J

Article GUID: 30882348
Title:Integrated fMRI Preprocessing Framework Using Extended Kalman Filter for Estimation of Slice-Wise Motion.
Authors:Pinsard B,  Boutin A,  Doyon J,  Benali H
Link:https://www.ncbi.nlm.nih.gov/pubmed/29755312?dopt=Abstract
DOI:10.3389/fnins.2018.00268
Category:Front Neurosci
PMID:29755312
Dept Affiliation: PERFORM
1 Unité de Neuroimagerie Fonctionelle, Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montreal, QC, Canada.
2 UMR7371 Laboratoire d'Imagerie Biomédicale, Paris, France.
3 Sorbonne Universités, Paris, France.
4 Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
5 PERFORM Center, Concordia University, Montreal, QC, Canada.

Description:

Integrated fMRI Preprocessing Framework Using Extended Kalman Filter for Estimation of Slice-Wise Motion.

Front Neurosci. 2018;12:268

Authors: Pinsard B, Boutin A, Doyon J, Benali H

Abstract

Functional MRI acquisition is sensitive to subjects' motion that cannot be fully constrained. Therefore, signal corrections have to be applied a posteriori in order to mitigate the complex interactions between changing tissue localization and magnetic fields, gradients and readouts. To circumvent current preprocessing strategies limitations, we developed an integrated method that correct motion and spatial low-frequency intensity fluctuations at the level of each slice in order to better fit the acquisition processes. The registration of single or multiple simultaneously acquired slices is achieved online by an Iterated Extended Kalman Filter, favoring the robust estimation of continuous motion, while an intensity bias field is non-parametrically fitted. The proposed extraction of gray-matter BOLD activity from the acquisition space to an anatomical group template space, taking into account distortions, better preserves fine-scale patterns of activity. Importantly, the proposed unified framework generalizes to high-resolution multi-slice techniques. When tested on simulated and real data the latter shows a reduction of motion explained variance and signal variability when compared to the conventional preprocessing approach. These improvements provide more stable patterns of activity, facilitating investigation of cerebral information representation in healthy and/or clinical populations where motion is known to impact fine-scale data.

PMID: 29755312 [PubMed]