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| Research article summary (published 29 Nov 2007): |
Brain activity during a motor learning task: an fMRI and skin conductance study.
Full Abstract
Measuring electrodermal activity (EDA) during fMRI is an effective means of studying the influence of task-related arousal, inferred from autonomic nervous system activity, on brain activation patterns. The goals of this study were: (1) to measure reliable EDA from healthy individuals during fMRI involving an effortful unilateral motor task, (2) to explore how EDA recordings can be used to augment fMRI data analysis. In addition to conventional hemodynamic modeling, skin conductance time series data were used as model waveforms to generate activation images from fMRI data. Activations from the EDA model produced significantly different brain regions from those obtained with a standard hemodynamic model, primarily in the insula and cingulate cortices. Onsets of the EDA changes were synchronous with the hemodynamic model, but EDA data showed additional transient features, such as a decrease in amplitude with time, and helped to provide behavioral evidence suggesting task difficulty decreased with movement repetition. Univariate statistics also confirmed that several brain regions showed early versus late session effects. Partial least squares (PLS) multivariate analysis of EDA and fMRI data provided complimentary, additional insight on how the motor network varied over the course of a single fMRI session. Brain regions identified in this manner included the insula, cingulate gyrus, pre- and postcentral gyri, putamen and parietal cortices. These results suggest that recording EDA during motor fMRI experiments provides complementary information that can be used to improve the fMRI analysis, particularly when behavioral or task effects are difficult to model a priori. (copyright) 2007 Wiley-Liss, Inc.
Author information
Author/s: Macintosh, Bradley J (BJ); Mraz, Richard (R); McIlroy, William E (WE); Graham, Simon J (SJ);
Affiliation: Imaging Research, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada. brad.macintosh(-atsign-)sri.utoronto.ca
Journal and publication information
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal: Human brain mapping (Hum Brain Mapp), published in United States. (Language: eng)
Reference: 2007-Dec; vol 28 (issue 12) : pp 1359-67
Dates: Created 2007/11/20; Completed 2008/01/24;
PMID: 17318835, status: MEDLINE (last retrieval date: 2/18/2009, IMS Date: )
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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