Literature DB >> 11121695

An investigation of the impulse functions for the nonlinear BOLD response in functional MRI.

H Liu1, J Gao.   

Abstract

Functional MRI (fMRI) based on blood oxygenation level dependent (BOLD) contrast can be used to detect hemodynamic responses to a broad range of stimuli. It however remains unclear in what fashion the BOLD response is a linear system, and how the impulse function differs with stimulation of varying duration. To address this question, fMRI using visual stimulation with a wide range of duration (0.5-12 s) was performed in six human volunteers. A strong linear correlation was shown on the full width at half maximum (r = 0.998) of the BOLD response curves and the area under the curves (r = 0.999) to the duration of stimulation. However, comparing the errors of the measured and predicted response curves, our results showed a poorer linearity at stimuli of shorter duration. By examining the impulse functions derived from different stimuli, based on the assumption that a linear convolution relationship existed, a higher differentiation was shown in the experiments with shorter stimuli (<3 s). Compared to the area under the impulse function derived from 12 s stimulation, with that obtained from 0.5, 1, 2, 3, 4, 8 s stimuli resulted in differences of 66.2, 33.5, 15.1, 5.4, 0.9, 7.9%, respectively. This study suggests a higher degree of nonlinearity in the BOLD signal changes due to stimuli of shorter duration, in agreement with earlier work.

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Year:  2000        PMID: 11121695     DOI: 10.1016/s0730-725x(00)00214-9

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  18 in total

1.  Directly mapping magnetic field effects of neuronal activity by magnetic resonance imaging.

Authors:  Jinhu Xiong; Peter T Fox; Jia-Hong Gao
Journal:  Hum Brain Mapp       Date:  2003-09       Impact factor: 5.038

2.  Transient and sustained components of the sensorimotor BOLD response in fMRI.

Authors:  Michael Marxen; Ryan J Cassidy; Tara L Dawson; Bernhard Ross; Simon J Graham
Journal:  Magn Reson Imaging       Date:  2012-04-09       Impact factor: 2.546

3.  Spatio-temporal information analysis of event-related BOLD responses.

Authors:  Galit Fuhrmann Alpert; Fellice T Sun; Daniel Handwerker; Mark D'Esposito; Robert T Knight
Journal:  Neuroimage       Date:  2006-12-22       Impact factor: 6.556

4.  Nonlinearities in rapid event-related fMRI explained by stimulus scaling.

Authors:  Genevieve M Heckman; Seth E Bouvier; Valerie A Carr; Erin M Harley; Kristen S Cardinal; Stephen A Engel
Journal:  Neuroimage       Date:  2006-11-17       Impact factor: 6.556

5.  Biphasic hemodynamic responses influence deactivation and may mask activation in block-design fMRI paradigms.

Authors:  Jed A Meltzer; Michiro Negishi; R Todd Constable
Journal:  Hum Brain Mapp       Date:  2008-04       Impact factor: 5.038

6.  Investigation of the prefrontal cortex in response to duration-variable anagram tasks using functional near-infrared spectroscopy.

Authors:  Fenghua Tian; Britton Chance; Hanli Liu
Journal:  J Biomed Opt       Date:  2009 Sep-Oct       Impact factor: 3.170

7.  Nonlinear blood oxygen level-dependent responses for transient activations and deactivations in V1 - insights into the hemodynamic response function with the balloon model.

Authors:  Lin Tang; Malcolm J Avison; John C Gore
Journal:  Magn Reson Imaging       Date:  2008-09-20       Impact factor: 2.546

8.  Linear coupling of undershoot with BOLD response in ER-fMRI and nonlinear BOLD response in rapid-presentation ER-fMRI.

Authors:  Xiaopeng Zong; Jie Huang
Journal:  Neuroimage       Date:  2011-05-07       Impact factor: 6.556

Review 9.  Neural-metabolic coupling in the central visual pathway.

Authors:  Ralph D Freeman; Baowang Li
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-10-05       Impact factor: 6.237

10.  A semi-parametric nonlinear model for event-related fMRI.

Authors:  Tingting Zhang; Fan Li; Marlen Z Gonzalez; Erin L Maresh; James A Coan
Journal:  Neuroimage       Date:  2014-04-15       Impact factor: 6.556

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