Journal article
Complex spatio-temporal dynamics of fMRI BOLD: A study of motor learning
NeuroImage (Orlando, Fla.), Vol.34(1), pp.156-168
2007
DOI: 10.1016/j.neuroimage.2006.09.006
PMCID: PMC1810348
PMID: 17081770
Abstract
Many studies have investigated the temporal properties of BOLD signal responses to task performance in regions of interest, often noting significant departures from the conventionally modelled response shape, and significant variation between regions. However, these investigations are rarely extended across the whole brain nor incorporated into the routine analysis of fMRI studies. As a result, little is known about the range of response shapes generated in the brain by common paradigms. The present study finds such temporal dynamics can be complex. We made a detailed investigation of BOLD signal responses across the whole brain during a two minute motor-sequence task, and tracked changes due to learning. The multi-component OSORU (Onset, Sustained, Offset, Ramp, Undershoot) linear model, developed by Harms and Melcher (J.Neurophysiology, 2003), was extended to characterise responses. In many regions, signal transients persisted for over thirty seconds, with large signal spikes at onset often followed by a dip in signal below the final sustained level of activation. Training altered certain features of the response shape, suggesting that different features of the response may reflect different aspects of neuro-vascular dynamics. Unmodelled, this may give rise to inconsistent results across paradigms of varying task durations. Few of the observed effects have been thoroughly addressed in physiological models of the BOLD response. The complex, extended dynamics generated by this simple, often employed task, suggests characterisation and modelling of temporal aspects of BOLD responses needs to be carried out routinely, informing experimental design and analysis, and physiological modelling.
Details
- Title: Subtitle
- Complex spatio-temporal dynamics of fMRI BOLD: A study of motor learning
- Creators
- Eugene Duff - The Howard Florey Institute and the Centre for Neuroscience, The University of Melbourne, VIC 3010, AustraliaJinhu Xiong - Department of Radiology, University of Iowa, IA, United StatesBinquan Wang - Research Imaging Centre, University of Texas Health Sciences Centre, and VA Medical Center, San Antonio, TX, United StatesRoss Cunnington - The Howard Florey Institute and the Centre for Neuroscience, The University of Melbourne, VIC 3010, AustraliaPeter Fox - Research Imaging Centre, University of Texas Health Sciences Centre, and VA Medical Center, San Antonio, TX, United StatesGary Egan - The Howard Florey Institute and the Centre for Neuroscience, The University of Melbourne, VIC 3010, Australia
- Resource Type
- Journal article
- Publication Details
- NeuroImage (Orlando, Fla.), Vol.34(1), pp.156-168
- DOI
- 10.1016/j.neuroimage.2006.09.006
- PMID
- 17081770
- PMCID
- PMC1810348
- NLM abbreviation
- Neuroimage
- ISSN
- 1053-8119
- eISSN
- 1095-9572
- Publisher
- Elsevier Inc
- Language
- English
- Date published
- 2007
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering
- Record Identifier
- 9984083285902771
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