Literature DB >> 17081770

Complex spatio-temporal dynamics of fMRI BOLD: A study of motor learning.

Eugene Duff1, Jinhu Xiong, Binquan Wang, Ross Cunnington, Peter Fox, Gary Egan.   

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.

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Year:  2006        PMID: 17081770      PMCID: PMC1810348          DOI: 10.1016/j.neuroimage.2006.09.006

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  37 in total

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2.  Temporal autocorrelation in univariate linear modeling of FMRI data.

Authors:  M W Woolrich; B D Ripley; M Brady; S M Smith
Journal:  Neuroimage       Date:  2001-12       Impact factor: 6.556

3.  Experience-dependent changes in cerebellar contributions to motor sequence learning.

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4.  The preparation and execution of self-initiated and externally-triggered movement: a study of event-related fMRI.

Authors:  R Cunnington; C Windischberger; L Deecke; E Moser
Journal:  Neuroimage       Date:  2002-02       Impact factor: 6.556

5.  Post-stimulus response in hemodynamics observed by functional magnetic resonance imaging--difference between the primary sensorimotor area and the supplementary motor area.

Authors:  T Nakai; K Matsuo; C Kato; Y Takehara; H Isoda; T Moriya; T Okada; H Sakahara
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Review 6.  Distinct contribution of the cortico-striatal and cortico-cerebellar systems to motor skill learning.

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8.  Sound repetition rate in the human auditory pathway: representations in the waveshape and amplitude of fMRI activation.

Authors:  Michael P Harms; Jennifer R Melcher
Journal:  J Neurophysiol       Date:  2002-09       Impact factor: 2.714

9.  The spatial dependence of the poststimulus undershoot as revealed by high-resolution BOLD- and CBV-weighted fMRI.

Authors:  Essa Yacoub; Kamil Ugurbil; Noam Harel
Journal:  J Cereb Blood Flow Metab       Date:  2006-05       Impact factor: 6.200

10.  Investigation of BOLD signal dependence on cerebral blood flow and oxygen consumption: the deoxyhemoglobin dilution model.

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  15 in total

1.  Poststimulus undershoots in cerebral blood flow and BOLD fMRI responses are modulated by poststimulus neuronal activity.

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2.  Let the vessels rest.

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3.  The power of spectral density analysis for mapping endogenous BOLD signal fluctuations.

Authors:  Eugene P Duff; Leigh A Johnston; Jinhu Xiong; Peter T Fox; Iven Mareels; Gary F Egan
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4.  If it bleeds, it leads: separating threat from mere negativity.

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Journal:  Soc Cogn Affect Neurosci       Date:  2014-02-03       Impact factor: 3.436

5.  The timing of emotional discrimination in human amygdala and ventral visual cortex.

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Journal:  J Neurosci       Date:  2009-11-25       Impact factor: 6.167

6.  Concurrent TMS to the primary motor cortex augments slow motor learning.

Authors:  Shalini Narayana; Wei Zhang; William Rogers; Casey Strickland; Crystal Franklin; Jack L Lancaster; Peter T Fox
Journal:  Neuroimage       Date:  2013-07-15       Impact factor: 6.556

7.  Long-term motor training induced changes in regional cerebral blood flow in both task and resting states.

Authors:  Jinhu Xiong; Liangsuo Ma; Binquan Wang; Shalini Narayana; Eugene P Duff; Gary F Egan; Peter T Fox
Journal:  Neuroimage       Date:  2008-12-03       Impact factor: 6.556

8.  REX: response exploration for neuroimaging datasets.

Authors:  Eugene P Duff; Ross Cunnington; Gary F Egan
Journal:  Neuroinformatics       Date:  2007-11-06

9.  Changes in striatal dopamine release associated with human motor-skill acquisition.

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Review 10.  A quantitative meta-analysis and review of motor learning in the human brain.

Authors:  Robert M Hardwick; Claudia Rottschy; R Chris Miall; Simon B Eickhoff
Journal:  Neuroimage       Date:  2012-11-27       Impact factor: 6.556

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