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Eda100c mri amplifier

Manufactured by Biopac

The EDA100C-MRI amplifier is a device designed to measure and record electrodermal activity (EDA), also known as galvanic skin response (GSR). It is specifically engineered for use in magnetic resonance imaging (MRI) environments. The amplifier captures changes in skin conductance, providing data on sympathetic nervous system activity.

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5 protocols using eda100c mri amplifier

1

Skin Conductance Measurement Protocols

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Skin conductance was recorded using the EDA100C-MRI amplifier (Biopac Systems). Two disposable Ag-AgCl electrodes were placed at the distal phalanxes of the index finger (ground lead) and the middle finger (positive lead) of the nondominant hand.
A 1-Hz low-pass filter was applied to all skin conductance recordings to eliminate noise. Mean tonic skin conductance level (SCL) was analyzed in 5-second blocks. A phasic skin conductance response (SCR) channel was created for thermal task recordings by applying a 0.05-Hz high-pass filter, allowing for analysis of specific responses normalized to an individual's baseline SCL drift (24 (link)). We extracted the maximal magnitude of SCRs occurring within the cue and response periods, and calculated the mean magnitude of all trials within each condition. Because SCRs occur at least 1 to 4 seconds after stimulus onset (3 (link),24 (link)), we derived the magnitude of stimulus-related SCRs from the maximum phasic response that occurred within the 10-second period encompassing stimulus delivery and the poststimulus wait period (stimulus + Wait2 = “response period”; see Figure 1B).
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2

Skin Conductance Response Measurement in Conditioning Experiments

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SCR was measured using a Biopac MP150 unit running Acqknowledge 4.3.1 software (Biopac Systems Inc., Goleta, CA) connected to an EDA100C-MRI amplifier with a 5 μS/V gain and a 10.0-Hz low-pass filter. Skin conductance signals were acquired using two Ag/AgCl 11mm electrodes (EL509) filled with isotonic recording electrode gel (GEL101) and placed on the thenar and hypothenar eminence of the left hand. Prior to electrode placement, the skin was lightly abraded. In each conditioning task skin conductance level (SCL) was recorded to the nearest microsiemens (μS) during each trial and ISI, with raw SCL data transformed through mean value smoothing. SCR magnitude was calculated as the difference between the mean SCL within the 2-second period prior to stimulus onset subtracted from the maximum SCL within 1–6 seconds following stimulus onset. SCR magnitudes were standardized within subject and across trials and conditions. Trials with outliers (± 3 standard deviations from the mean) were transformed through winsorizing (Wilcox & Keselman, 2003 (link)). SCRs were averaged into blocks of three trials for each stimulus type. For CON+ and CON−, SCRs were averaged into “early” (trials 1–3), “early-middle” (4–6), “late-middle” (7–9), and “late” (10–12). For elemental CS+ and CS−, SCRs were averaged into “early” (trials 1–3) and “late” (trials 4–6).
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3

Measuring Skin Conductance in MRI

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Skin conductance responses were measured using two MRI-compatible electrodes placed on the palm of each subject’s left hand at the beginning of the scan session. These data were recorded using a BIOPAC MP150 acquisition system (BIOPAC Systems, Inc, Goleta, CA) and an EDA100C MRI amplifier. Skin conductance was collected at a gain of 5 µS/V. During acquisition, data were low pass filtered at 1 Hz and digitized at 200 Hz.
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4

Measuring Skin Conductance Responses

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Skin conductance was recorded using the EDA100C-MRI amplifier (Biopac Systems). Two disposable Ag-AgCl electrodes were placed at the distal phalanxes of the index finger (ground lead) and the middle finger (positive lead) of the non-dominant hand.
A 1-Hz low-pass filter was applied to all skin conductance recordings to eliminate noise. Mean tonic skin conductance level (SCL) was analyzed in 5-sec blocks. A phasic skin conductance response (SCR) channel was created for Thermal Task recordings by applying a 0.05 Hz high pass filter, allowing for analysis of specific responses normalized to an individual’s baseline SCL drift (24 (link)). We extracted the maximum magnitude of SCRs occurring within the cue and response periods, and calculated the mean magnitude of all trials within each condition. Since SCRs occur at least 1-4 s after stimulus onset (3 (link), 24 (link)), we derived the magnitude of stimulus-related SCRs from the maximum phasic response that occurred within the 10-s period encompassing stimulus delivery and the post-stimulus wait period (Stimulus + Wait2 = “Response Period”, see Figure 1B).
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5

Multimodal Assessment of Cardiovascular Indices

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Heart rate and electrodermal activity were acquired with the Biopac MP150 system and the Biopac Acqknowledge software 4.3 (Biopac Systems Inc., USA). More specifically, the Biopac ECG100C Electrocardiogram and EDA100C-MRI amplifier were used, at a sample rate of 1000 Hz, in order to measure cardiac activity and electrodermal activity (i.e. skin conductance levels), respectively. From the electrocardiogram, mean heart rate (HR) and heart rate variability (HRV) were derived. HRV was computed using the Root Mean Square of Successive Differences (RMSSD), a vagally-mediated, time-domain index of HRV known to be less susceptible to movement and respiration artefacts than other HRV indices (Laborde et al., 2017; (link)Shaffer and Ginsberg, 2017) (link). Systolic and diastolic blood pressure (i.e., SBP and DBP) was assessed using a validated oscillometric device (OMRON M6 Comfort; Belghazi et al., 2007) (link). For details on the set-up, recording parameters and pre-processing of the physiological measures data, we refer to the Supplementary Material.
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