On the characterization of single-event related brain activity from functional Magnetic Resonance Imaging (fMRI) measurements

Author

Khoram, Nafiseh ; Zayane, Chadia ; Laleg-Kirati, Taous-Meriem ; Djellouli, Rabia

Author_Institution

Dept. of Math., California State Univ. Northridge (CSUN), Northridge, CA, USA

fYear

2014

fDate

26-30 Aug. 2014

Firstpage

2396

Lastpage

2399

Abstract

We propose an efficient numerical technique for calibrating the mathematical model that describes the single-event related brain response when fMRI measurements are given. This method employs a regularized Newton technique in conjunction with a Kalman filtering procedure. We have applied this method to estimate the biophysiological parameters of the Balloon model that describes the hemodynamic brain responses. Illustrative results obtained with both synthetic and real fMRI measurements are presented.

Keywords

Kalman filters; Newton method; biomedical MRI; brain; haemodynamics; physiological models; Balloon model; Kalman filtering procedure; biophysiological parameters; functional Magnetic Resonance Imaging measurements; hemodynamic brain responses; mathematical model; numerical technique; real fMRI measurements; regularized Newton technique; single-event related brain activity characterization; single-event related brain response; synthetic fMRI measurements; Brain modeling; Convergence; Covariance matrices; Kalman filters; Noise; Noise measurement; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1557-170X

Type

conf

DOI

10.1109/EMBC.2014.6944104

Filename

6944104