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Proceedings Paper

Measurement, time-stamping, and analysis of electrodermal activity in fMRI
Author(s): Christopher Smyser; Thomas J. Grabowski; Pierre Rainville; Antione Bechara; Mehrdad Razavi; Sonya Mehta; Brent L. Eaton; Lizann Bolinger
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Paper Abstract

A low cost fMRI-compatible system was developed for detecting electrodermal activity without inducing image artifact. Subject electrodermal activity was measured on the plantar surface of the foot using a standard recording circuit. Filtered analog skin conductance responses (SCR) were recorded with a general purpose, time-stamping data acquisition system. A conditioning paradigm involving painful thermal stimulation was used to demonstrate SCR detection and investigate neural correlates of conditioned autonomic activity. 128x128 pixel EPI-BOLD images were acquired with a GE 1.5T Signa scanner. Image analysis was performed using voxel-wise multiple linear regression. The covariate of interest was generated by convolving stimulus event onset with a standard hemodynamic response function. The function was time-shifted to determine optimal activation. Significance was tested using the t-statistic. Image quality was unaffected by the device, and conditioned and unconditioned SCRs were successfully detected. Conditioned SCRs correlated significantly with activity in the right anterior insular cortex. The effect was more robust when responses were scaled by SCR amplitude. The ability to measure and time register SCRs during fMRI acquisition enables studies of cognitive processes marked by autonomic activity, including those involving decision-making, pain, emotion, and addiction.

Paper Details

Date Published: 24 April 2002
PDF: 6 pages
Proc. SPIE 4683, Medical Imaging 2002: Physiology and Function from Multidimensional Images, (24 April 2002); doi: 10.1117/12.463616
Show Author Affiliations
Christopher Smyser, Univ. of Iowa (United States)
Thomas J. Grabowski, Univ. of Iowa (United States)
Pierre Rainville, Univ. of Iowa and Univ. of Montreal and Univ. of Montreal (Canada)
Antione Bechara, Univ. of Iowa (United States)
Mehrdad Razavi, Univ. of Iowa (United States)
Sonya Mehta, Univ. of Iowa (United States)
Brent L. Eaton, Univ. of Iowa (United States)
Lizann Bolinger, Univ. of Iowa (United States)

Published in SPIE Proceedings Vol. 4683:
Medical Imaging 2002: Physiology and Function from Multidimensional Images
Anne V. Clough; Chin-Tu Chen, Editor(s)

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