What does a suppression ratio of 0.8 mean

In experimental psychology the term conditioned emotional response refers to a phenomenon that is seen in classical conditioning after a conditioned stimulus (CS) has been paired with an emotion-producing unconditioned stimulus (US) such as electric shock.[1] The conditioned emotional response is usually measured through its effect in suppressing an ongoing response. For example, a rat first learns to press a lever through operant conditioning. Classical conditioning follows: in a series of trials the rat is exposed to a CS, often a light or a noise. Each CS is followed by the US, an electric shock. As an association between the CS and US develops, the rat slows or stops its lever pressing when the CS comes on. The slower the rat presses, the stronger its conditioned emotional response, or "fear."

Show

Researchers working on theories of conditioning often use the conditioned emotional response to measure the strength of the association between CS and US. They use the suppression ratio to quantify this strength.

The suppression ratio equals the number of responses made during a CS divided by the number of responses made during the CS plus the number of responses made during a period just before the CS that has the same duration as the CS:

What does a suppression ratio of 0.8 mean
.

Where SR = suppression Ratio, D = responding during CS and B = responding before CS.

  • If SR = 0, there were no responses during the CS and conditioning is strong.
  • If SR = 1/2, the response rate did not change when the CS was presented and there is no evidence of conditioning
  • It would be unusual for SR to be greater than 1/2. This would mean the subject responded faster during the CS than before; this could happen if the US were something positive, like food, instead of shock.

References[edit]

  1. ^ "APA Dictionary of Psychology". American Psychological Association. Retrieved 20 March 2021.

PSYC3210-Principles of Learning: Suppression Ratio AssignmentName:____________Date: ____________1.What equation is used to calculate the suppression ratio?2.What does pre-CS responding mean?3.What does CS responding mean?4.What does condition suppression measure?5.What UR is elicited when there is complete suppression? Explain what this responsemeans.6.Does the strength of the CS have an impact on the suppression ratio? If so, provide furtherexplanation?7.A rat lever presses 10 times before the presentation of the CS and lever presses 10 timesafter the presentation of the CS. Calculate the suppression ratio. Is there a change inresponding?8.What does a suppression ratio of zero mean?9.What does a suppression ratio of 0.8 mean?10. What does a suppression ratio of 0.5 mean?11. What does a suppression ratio of 0.3 mean?12. A rat has a pre-CS responding of 27 and a CS responding of 21. Calculate the suppressionratio. What does this number mean?13. A rat has a pre-CS responding of 31 and a CS responding of 2. Calculate the suppressionratio. What does this number mean?

  • What does a suppression ratio of 0.8 mean
    Access through your institution

Abstract

Aim

The Suppression Ratio (SR) estimates the percent of the electroencephalography (EEG) epoch with very low voltage, and is associated with neurological outcome after cardiac arrest. We aimed to compare the SR generated by two monitoring devices and determine the association between SR and patterns on amplitude integrated EEG (aEEG) and full conventional EEG (cEEG).

Methods

Consecutive adult patients treated with TTM after cardiac arrest were enrolled. We compared the SR from the Medtronic Vista monitor (MSR) to the SR generated from the full montage cEEG with Persyst Magic-Marker software (PSR). A blinded neurologist, board certified in epilepsy, scored the 4-channel aEEG pattern and the cEEG background using standardized terminology. Values for SR were compared to aEEG and cEEG categories using Kruskal–Wallis ANOVA, and to each other using Altman-Bland methodology.

Results

23 adults treated with TTM had a mean core temperature of 33.8 °C at the time of SR and EEG background analysis. The MSR was 0% during continuous cEEG background, 23% when cEEG was discontinuous, and 64% during cEEG burst suppression (p = 0.01). The MSR was 0% during aEEG continuous patterns, 34% during aEEG burst suppression, and 46% during flat aEEG (p < 0.001). The MSR and PSR were highly correlated (0.88, p < 0.0001), with minimal bias (0.3%) and excellent 95% limits of agreement (−2.9 to 2.4%).

Conclusion

The Suppression Ratio from the Medtronic Vista monitor is highly correlated with the full montage SR from Persyst software. The MSR values are valid, changing with different aEEG patterns and cEEG background categories.

Introduction

Animal and human studies confirm that the electroencephalogram (EEG) is a reliable biomarker of the severity of brain injury after resuscitation from cardiac arrest.1, 2 Standard full montage EEG represents a “gold standard”, but requires special training to apply and interpret, and may have limited availability (e.g. nights, weekends, smaller centers).1 Simpler processed EEG monitors can be applied by nurses and physicians, are widely available on a 24/7 basis, and present results as an easily interpretable quantitative biomarker.1

Several processed EEG variables reliably predict outcome after cardiac arrest, including the suppression ratio (SR), which estimates the percent of the EEG epoch with very low voltage, and ranges from 0% to 100%. The SR has been determined from full montage3, 4, 5, 6, 7 and simplified montage devices.8, 9, 10, 11 We previously reported the SR recorded by the Medtronic Vista Bispectral Index monitor to quantify EEG suppression during barbiturate coma12 and after cardiac arrest.13 No prior studies have compared full montage and simplified EEG techniques to determine the SR after cardiac arrest, or validated the SR determined by the Vista monitor among patients resuscitated after cardiac arrest.

Section snippets

Methods

This study sought to establish the validity of the SR measured by the Medtronic Vista monitor (MSR) by blinded comparison to SR measured by a full montage EEG monitor, and to test construct validity by comparing MSR during different “standard” EEG backgrounds,14 and amplitude-integrated EEG (aEEG) patterns.9 After IRB approval with waiver of informed consent, a consecutive sample of adult patients treated with TTM after cardiac arrest and simultaneously monitored with both EEG techniques was

Results

Over a four-month period, 29 adult patients were treated with TTM after cardiac arrest; 23 were included in our study, and 6 treated during weekends when the research team was unavailable were not included. The median age was 58 (46–72) years, most patients were male, with a similar incidence of VT or VF and PEA (Table 1). Most cardiac arrests occurred out-of-hospital (74%), and the time to recovery of spontaneous circulation (ROSC) was 12 (7–18) minutes. At the time of EEG collection, the core

Discussion

This observational study confirms that the SR determined from a simplified EEG montage with the Medtronic Vista monitor agrees well with that derived from full montage recordings using the Natus and Persyst systems. When compared to standardized EEG background categories,14 the MSR varied as expected from 0% during continuous EEG patterns to 64% during Burst Suppression patterns. When compared to established aEEG patterns, the MSR varied from 0% during continuous patterns to 46% during flat

Conclusions

The suppression ratio determined by the Medtronic Vista monitor using a simplified EEG montage is valid, and agrees with full montage EEG technology. The suppression ratio varies as expected with different established EEG backgrounds and aEEG patterns. Additional research to define the appropriate role of simplified EEG montages and processed EEG data to stratify the severity of brain injury and guide therapy after cardiac arrest is needed.

Authors’ contribution

All authors have made substantial contributions to all of the following: (1) the conception and design of the study, or acquisition of data, or analysis and interpretation of data, (2) drafting the article or revising it critically for important intellectual content, (3) final approval of the version to be submitted.

Conflict of interest

None.

References (20)

  • et al.

    Analgesia, sedation, and neuromuscular blockade during targeted temperature management after cardiac arrest

    Best Pract Res Clin Anaesthesiol

    (2015)

  • C. Selig et al.

    Bispectral index (BIS) and suppression ratio (SR) as an early predictor of unfavourable neurological outcome after cardiac arrest

    Resuscitation

    (2014)

  • C.M. Drohan et al.

    Effect of sedation on quantitative electroencephalography after cardiac arrest

    Resuscitation

    (2018)

  • X. Jia et al.

    Improving neurological outcomes post-cardiac arrest in a rat model: immediate hypothermia and quantitative EEG monitoring

    Resuscitation

    (2008)

  • E. Westhall

    Electroencephalography as a prognostic tool after cardiac arrest

    Semin Neurol

    (2017)

  • S.L. Wiley et al.

    Quantitative EEG metrics differ between outcome groups and change over the first 72 h in comatose cardiac arrest patients

    Neurocrit Care

    (2018)

  • J. Elmer et al.

    Group-based trajectory modeling of suppression ratio after cardiac arrest

    Neurocrit Care

    (2016)

  • L. Sondag et al.

    Early EEG for outcome prediction of postanoxic coma: prospective cohort study with cost-minimization analysis

    Crit Care

    (2017)

  • Q. Noirhomme et al.

    Automated analysis of background EEG and reactivity during therapeutic hypothermia in comatose patients after cardiac arrest

    Clin EEG Neurosci

    (2014)

  • J.E. Wennerverta et al.

    Hypothermia-treated cardiac arrest patients with good neurological outcome differ early in quantitative variables of EEG suppression and epileptiform activity

    Crit Care Med

    (2009)

There are more references available in the full text version of this article.

Cited by (1)

View full text

© 2020 Elsevier B.V. All rights reserved.

What does a suppression ratio of 0.5 mean?

A ratio of 0.5 represents no conditioned fear during the tone, and a ratio of 0.0 represents maximal fear conditioning.

What does suppression ratio mean?

The Suppression Ratio trend displays a running average of the percentage of EEG activity that falls below a user-specified amplitude threshold, as a function of time.

What does a suppression ratio of 1 mean?

Where SR = suppression Ratio, D = responding during CS and B = responding before CS. If SR = 0, there were no responses during the CS and conditioning is strong. If SR = 1/2, the response rate did not change when the CS was presented and there is no evidence of conditioning.

What does condition suppression measure?

Conditioned suppression is a procedure that leads to a decrease in operant behavior while the conditioned aversive is present. It is measured by comparing the rates of behavior with and without the presence of the conditioned aversive (i.e., using a suppression ratio).