Retrieving the Hemodynamic Response Function in resting state fMRI: Methodology and application

Wu, Guo-Rong; Deshpande, Gopikhrishna; Laureys, Steven; Marinazzo, Daniele

doi:10.1109/EMBC.2015.7319771

Download

Paper published in a journal (Scientific congresses and symposiums)

Retrieving the Hemodynamic Response Function in resting state fMRI: Methodology and application

Wu, Guo-Rong; Deshpande, Gopikhrishna; Laureys, Steven et al.

2015 • In Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015-November, p. 6050-6053

Peer reviewed

Permalink
https://hdl.handle.net/2268/249261

DOI
10.1109/EMBC.2015.7319771

PubMed
26737671

Files (1)Send to Details Statistics Bibliography Similar publications

Files

Full Text

Wu_Retrieving_2015_PPA.pdf

Author postprint (269.02 kB)

Download

All documents in ORBi are protected by a user license.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Keywords :

Adolescent; Adult; Brain; Conscious Sedation; Electroencephalography; Female; Hemodynamics; Humans; Hypnotics and Sedatives; Magnetic Resonance Imaging; Male; Propofol; Rest; Signal Processing, Computer-Assisted; Young Adult

Abstract :

[en] In this paper we present a procedure to retrieve the hemodynamic response function (HRF) from resting state functional magnetic resonance imaging (fMRI) data. The fundamentals of the procedures are further validated by considering simultaneous electroencephalographic (EEG) recordings. The typical HRF shape at rest for a group of healthy subject is presented. Then we present the modifications to the shape of the HRF at rest following two physiological modulations: eyes open versus eyes closed and propofol-induced modulations of consciousness. © 2015 IEEE.

Disciplines :

Neurosciences & behavior

Author, co-author :

Wu, Guo-Rong; Department of Data Analysis, University of Ghent, Ghent, Belgium, Key Laboratory of Cognition and Personality, Southwest University, Chongqing, China

Deshpande, Gopikhrishna; Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, United States

Laureys, Steven ; Université de Liège - ULiège > GIGA : Coma Group

Marinazzo, Daniele; Department of Data Analysis, University of Ghent, Ghent, Belgium

Language :

English

Title :

Retrieving the Hemodynamic Response Function in resting state fMRI: Methodology and application

Publication date :

2015

Event name :

37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015

Event date :

25 August 2015 through 29 August 2015

Audience :

International

Journal title :

Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society

ISSN :

1557-170X

Publisher :

Institute of Electrical and Electronics Engineers Inc.

Volume :

2015-November

Pages :

6050-6053

Peer reviewed :

Peer reviewed

Available on ORBi :

since 06 July 2020

Statistics

Number of views

177 (0 by ULiège)

Number of downloads

121 (0 by ULiège)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

OpenCitations

OpenAlex citations

Bibliography

D. Cordes, V. M. Haughton, K. Arfanakis, J. D. Carew, P. A. Turski, C. H. Moritz, et al., "Frequencies contributing to functional connectivity in the cerebral cortex in "resting-state" data," AJNR Am J Neuroradiol, vol. 22, pp. 1326-33, Aug 2001.
G. R. Wu, W. Liao, S. Stramaglia, J. R. Ding, H. Chen, and D. Marinazzo, "A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data," Med Image Anal, vol. 17, pp. 365-74, Apr 2013.
E. Tagliazucchi, P. Balenzuela, D. Fraiman, and D. R. Chialvo, "Criticality in large-scale brain FMRI dynamics unveiled by a novel point process analysis," Front Physiol, vol. 3, p. 15, 2012.
G. H. Glover, "Deconvolution of impulse response in event-related BOLD fMRI," Neuroimage, vol. 9, pp. 416-29, Apr 1999.
A. M. Dale and R. L. Buckner, "Selective averaging of rapidly presented individual trials using fMRI," Hum Brain Mapp, vol. 5, pp. 329-40, 1997.
J. T. Webb, M. A. Ferguson, J. A. Nielsen, and J. S. Anderson, "BOLD Granger causality reflects vascular anatomy," PLoS One, vol. 8, p. e84279, 2013.
Y. Behzadi, K. Restom, J. Liau, and T. T. Liu, "A component based noise correction method (CompCor) for BOLD and perfusion based fMRI," Neuroimage, vol. 37, pp. 90-101, Aug 1 2007.
J. D. Power, K. A. Barnes, A. Z. Snyder, B. L. Schlaggar, and S. E. Petersen, "Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion," Neuroimage, vol. 59, pp. 2142-2154, 2012.
J. Chumbley, K. Worsley, G. Flandin, and K. Friston, "Topological FDR for neuroimaging," Neuroimage, vol. 49, pp. 3057-64, Feb 15 2010.