El509

Manufactured by Biopac

Sourced in United States

The EL509 is a disposable electrocardiogram (ECG) electrode designed for use in various medical and research applications. The electrode features a snap connector and adhesive backing for secure placement on the skin. The EL509 provides a reliable electrical connection for the acquisition of ECG signals.

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Lab products found in correlation

Mp100 system, by Biopac (5 mentions) Gel101, by Biopac (4 mentions) Matlab, by MathWorks (3 mentions) Acqknowledge 4, by Biopac (3 mentions) Mr compatible physiological monitoring system, by Biopac (2 mentions) Mp150, by Biopac (2 mentions) E prime 2, by Psychology Software Tools (2 mentions) Matlab 2018, by MathWorks (2 mentions) Mp150 system, by Biopac (2 mentions) Mp160 system, by Biopac (1 mentions) Eda100c mri, by Biopac (1 mentions) Mp 150 device, by Biopac (1 mentions)

14 protocols using el509

Skin Conductance Response Measurement

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An MR-compatible physiological monitoring system (Biopac Systems; Goleta, CA) was used to collect skin conductance response (SCR) data. SCR was sampled (10 kHz) with a pair of disposable radio-translucent dry electrodes (EL509, Biopac Systems; Goleta, CA). Isotonic recording electrode gel (Gel101, Biopac Systems; Goleta, CA) was applied to the electrodes which were then affixed to the thenar and hypothenar eminences of the left palm. SCR data were processed using Biopac AcqKnowledge 4.1 software. A 1 Hz low pass digital filter was applied and SCR data were resampled at 250 Hz. Unconditioned SCRs were limited to those that occurred within 10 s following the UCS presentation. Unconditioned SCRs smaller than 0.05 μSiemens were scored as 0. Data were then square root transformed prior to statistical analyses.

Wood K.H., Wheelock M.D., Shumen J.R., Bowen K.H., Ver Hoef L.W, & Knight D.C. (2015). Controllability Modulates the Neural Response to Predictable but not Unpredictable Threat in Humans. NeuroImage, 119, 371-381.

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Skin Conductance Response Analysis Protocol

Cited 2 times

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SCR was assessed with pre-gelled snap electrodes (BIOPAC EL509) placed on the hypothenar eminence of the palmar surface of the non-dominant hand. Data were collected using BIOPAC MP-100 System (Goleta, CA) and continuously recorded at 200 samples per second. SCR data was assessed using an in-house analysis program written in Matlab (the MathWorks) and using FieldTrip⁷¹. Data were low-pass filtered at 5 Hz. Responses were determined for each trial as the peak-to-peak amplitude difference in skin conductance of the largest deflection in the latency window from 0–8 s after stimulus onset, i.e. maximum SCR value minus the minimum value that preceded the maximum value in time. The raw skin conductance responses were square root transformed and analyses were restricted to non-reinforced trials only, in accordance with previous literature^{14 (link), 32 (link), 72 (link), 73 (link)} where we note that previous reports have found no difference in responses to reinforced and non-reinforced items^{32 (link), 33 , 61 (link)}. Mean scores for the early (first half of the trials of a task) and late (second half of the trials of a task) phase were calculated for each task. A delta-recovery score was calculated as the difference between SCR to the first trial of the recovery test and the last trial of extinction for the CS+ and CS− separately.

Kroes M.C., Dunsmoor J.E., Lin Q., Evans M, & Phelps E.A. (2017). A reminder before extinction strengthens episodic memory via reconsolidation but fails to disrupt generalized threat responses. Scientific Reports, 7, 10858.

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Measuring Skin Conductance Responses

Cited 1 time

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SCRs were recorded from the hypothenar eminence of the left palmar surface using pregelled snap electrodes (BIOPAC EL509) connected to the BIOPAC MP-160 System (Goleta, CA). SCR data were considered valid to CS presentation if the trough-to-peak deflection occurred between 0.5 to 6 sec following CS onset, was greater than 0.02 µS, and lasted for a maximum 5 sec. Trials that did not meet these criteria were scored as zero. SCRs were processed using an automated analysis script implemented in Matlab (Green et al. 2013 (link)), and were visually inspected by research assistants blind to the experimental conditions. SCR data were square-root transformed prior to statistical analysis to normalize the distributions.

Keller N.E, & Dunsmoor J.E. (2020). The effects of aversive-to-appetitive counterconditioning on implicit and explicit fear memory. Learning & Memory, 27(1), 12-19.

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Skin Conductance Response Measurement

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An MR-compatible physiological monitoring system (Biopac Systems; Goleta, CA) was used to collect skin conductance response (SCR) data. SCR was sampled (10 kHz) with a pair of disposable radio-translucent dry electrodes (EL509, Biopac Systems; Goleta, CA). Isotonic recording electrode gel (Gel101, Biopac Systems; Goleta, CA) was applied to the electrodes which were then affixed to the distal phalanx of the index finder and thenar eminence of the non-dominant hand. SCR data were processed using Biopac AcqKnowledge 4.1 software. A 1-Hz low-pass digital filter was applied and SCR data were resampled at 250 Hz. Unconditioned SCRs were calculated by subtracting the skin conductance signal at response onset from the peak skin conductance value during the 10 s immediately following UCS presentation. Data were square root transformed prior to statistical analyses to address violations in normality.

Dretsch M.N., Wood K.H., Daniel T.A., Katz J.S., Deshpande G., Goodman A.M., Wheelock M.D., Wood K.B., Denney Jr. T.S., Traynham S, & Knight D.C. (2016). Exploring the Neurocircuitry Underpinning Predictability of Threat in Soldiers with PTSD Compared to Deployment Exposed Controls. The Open Neuroimaging Journal, 10, 111-124.

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Measuring Conditioned Skin Conductance

Cited 2 times

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Skin conductance level was measured simultaneously with BOLD response using two disposable carbon fiber electrodes attached between the first and second phalanges of the second and third digits of the left hand (EL509, BIOPAC Systems Inc., Goleta, CA). An MRI-compatible BIOPAC Systems skin conductance module (EDA100C-MRI) was used to sample skin conductance at 1000 Hz and amplify this data. Data was stored for offline analysis using AcqKnowledge 4.2 software (BIOPAC Systems, Inc.). Waveforms were low-pass filtered using a Blackman window with a cutoff of 40Hz and mean-valued smoothed over 100 adjacent data points.
To assess the level of conditioned fear responding separate from unconditioned responses to the US, we included only non-reinforced trials of the CS+ in the analyses. SCR for each CS was calculated by subtracting the mean skin conductance level during the first second of CS presentation from the highest skin conductance level occurring in the 1-7 seconds following CS onset [33 (link), see also 34 ,35 (link) on SCR onset latency]. Our use of non-reinforced CS+ trials permitted examination of SCR after CS offset. Raw SCRs were square root transformed to normalize distributions [32 (link),36 (link)]. SCRs to the CS+ versus CS− were compared using a paired t-test.

MacNamara A., Rabinak C.A., Fitzgerald D.A., Zhou X.J., Shankman S.A., Milad M.R, & Phan K.L. (2015). Neural Correlates of Individual Differences in Fear Learning. Behavioural brain research, 287, 34-41.

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Skin Conductance Response Measurement Protocol

Cited 2 times

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A 200-ms shock was delivered to the right wrist using pre-gelled snap electrodes (BIOPAC EL508) connected to a Grass Medical Instruments stimulator (West Warwick, Rhode Island). SCR electrodes we replaced on the hypothenar eminence of the palmar surface of the left hand using pre-gelled snap electrodes (BIOPAC EL509). Data were collected using a BIOPAC MP-100 System (Goleta, CA), and responses calculated using established criteria^{23 (link),24 (link)}. In brief, an SCR was considered related to CS presentation if the trough-to-peak deflection occurred 0.5–4.5 s following CS onset, lasted between 0.5 and 5.0 s, and was greater than 0.02 microsiemens (μS). Responses that did not fit these criteria were scored as zero. SCR values were obtained using a custom Matlab (The MathWorks, Inc.) script that extracted SCRs for each trial using the above criteria^{25 (link)}.

Dunsmoor J.E., Murty V.P., Davachi L, & Phelps E.A. (2015). Emotional learning selectively and retroactively strengthens memories for related events. Nature, 520(7547), 345-348.

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Fear Conditioning Paradigm in fMRI

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The fear conditioning paradigm lasted 20 min and consisted of 20 presentations each of two geometrical shapes (a brown arrow and a blue circle) used as conditioned stimuli (CS). One of the shapes (CS+) was paired with an electric shock on 16 occasions (80% reinforcement rate), and the other (CS−) was unpaired [24 (link)]. The CSs were counterbalanced across subjects. Each CS was presented for 6 s with a mean 24.3 s fixation cross inter-trial interval varying between 21.8 and 27 s. CS+ co-terminated with a 250 ms electric shock on reinforced trials.
Visual stimuli were projected onto a 32” computer screen positioned at the head of the scanner using E-prime 2 (Psychology Software Tools, Pittsburgh, PA, USA). Participants viewed the computer screen through a mirror on the head-coil. The presentation software was synced with fMRI data acquisition using a SyncBox (NordicNeuroLab, Bergen, Norway).
Electric shocks were used as unconditioned stimuli (US) and delivered to the subjects’ dorsal right lower arm via disposable radiotransluscent electrodes (EL509, BIOPAC Systems, Goleta, CA, USA) by the STM100C module connected to the STM200 constant voltage stimulator and controlled by the BIOPAC MP150 (BIOPAC Systems, Goleta, CA, USA).

Frick A., Björkstrand J., Lubberink M., Eriksson A., Fredrikson M, & Åhs F. (2021). Dopamine and fear memory formation in the human amygdala. Molecular Psychiatry, 27(3), 1704-1711.

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Skin Conductance Response Measurement

Cited 1 time

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Skin conductance recording was controlled with the MP‐150 BIOPAC system (BIOPAC Systems, Goleta, CA). Radio‐translucent disposable dry electrodes (EL509, BIOPAC Systems, Goleta, CA) were coated with isotonic gel (GEL101, BIOPAC Systems, Goleta, CA) and placed on the palmar surface of the left hand. The signal was high‐pass filtered at 0.05 Hz and SCRs were scored using Ledalab (Benedek & Kaernbach, 2010 (link)) software package implemented in Matlab 2018 (Mathworks, Inc., Natick, MA). SCR was scored using the maximum phasic driver amplitude 1–4 s after stimulus presentation for each participant. SCRs were range‐corrected by dividing all SCRs for each participant with each participants average SCR (Ben‐Shakhar, 1985 (link)).

Rosén J., Kastrati G., Kuja‐Halkola R., Larsson H, & Åhs F. (2022). A neuroimaging study of interpersonal distance in identical and fraternal twins. Human Brain Mapping, 43(11), 3508-3523.

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Measuring Galvanic Skin Responses Across Time

Cited 4 times

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Galvanic skin conductance was measured from the hypothenar eminence of the palmar surface of the non-dominant hand with pre-gelled snap electrodes (BIOPAC EL509) and continuously recorded at 200 samples per second using a BIOPAC MP-100 System (Goleta, CA). Skin conductance responses (SCRs) were assessed using an in-house analysis program written in Matlab (the MathWorks) as described previously (Dunsmoor et al., 2015 (link)). Responses were determined for each trial if the trough-to-peak deflection occurred 0.5–3 s following CS onset, lasted between 0.5 and 5.0 s and was greater than 0.02 μSiemens. Responses that did not meet these criteria were scored as zero. The raw SCRs were square root transformed and analyses restricted to non-reinforced trials only, in accordance with previous literature (Lykken and Venables, 1971 (link); Schiller et al., 2008 (link); Dunsmoor et al., 2015 (link); Klumpers et al., 2015a (link); Kroes et al., 2015 (link); Kroes et al., 2017a (link), Kroes et al., 2017b (link)). Mean scores for the early (first half of the trials of a task) and late (second half of the trials of a task) phase were calculated for each task.

Kroes M.C., Dunsmoor J.E., Hakimi M., Oosterwaal S., Meager M.R, & Phelps E.A. (2019). Patients with dorsolateral prefrontal cortex lesions are capable of discriminatory threat learning but appear impaired in cognitive regulation of subjective fear. Social Cognitive and Affective Neuroscience, 14(6), 601-612.

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Measuring Skin Conductance Responses

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Skin conductance was measured with pre-gelled snap electrodes (BIOPAC EL509) placed on the hypothenar eminence of the palmar surface of the non-dominant hand. Data were collected using BIOPAC MP-100 System (Goleta, CA), and analysed using an in-house analysis program written in Matlab (the MathWorks) using FieldTrip⁴². Data were low-pass filtered at 5 Hz. Responses to startle probes and upon transitions into the different contexts were determined as the peak-to-peak amplitude difference in skin conductance of the largest deflection in the latency window from 0–4.9 s after event onset (see results) to ensure that responses could not be contaminated by other events (e.g. the shock or following startle probes). The raw skin conductance responses were square root transformed, in keeping with previous studies [e.g. refs 43 (link)–47 (link)].

Kroes M.C., Dunsmoor J.E., Mackey W.E., McClay M, & Phelps E.A. (2017). Context conditioning in humans using commercially available immersive Virtual Reality. Scientific Reports, 7, 8640.

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