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Sensitivity, Specificity and Accuracy of a Novel EEG-Based Objective Test, the Cognalyzer(®), in Detecting Cannabis Psychoactive Effects
INTRODUCTION: Current standards for identifying recent cannabis use are based on body fluid testing. The Cognalyzer(®) is a novel electroencephalography (EEG) measurement device and algorithm designed to objectively characterize brainwave alterations associated with cannabis. The objective of this s...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Healthcare
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024442/ https://www.ncbi.nlm.nih.gov/pubmed/33826089 http://dx.doi.org/10.1007/s12325-021-01718-6 |
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author | McDonald, Alison C. Gasperin Haaz, Israel Qi, Weikai Crowley, David C. Guthrie, Najla Evans, Malkanthi Bosnyak, Dan |
author_facet | McDonald, Alison C. Gasperin Haaz, Israel Qi, Weikai Crowley, David C. Guthrie, Najla Evans, Malkanthi Bosnyak, Dan |
author_sort | McDonald, Alison C. |
collection | PubMed |
description | INTRODUCTION: Current standards for identifying recent cannabis use are based on body fluid testing. The Cognalyzer(®) is a novel electroencephalography (EEG) measurement device and algorithm designed to objectively characterize brainwave alterations associated with cannabis. The objective of this study was to assess the accuracy, sensitivity and specificity levels of the Cognalyzer(®) to characterize brainwave alterations following cannabis inhalation. METHODS: Seventy-five participants, aged 19–55 years, were enrolled, and oral fluid samples were collected pre-cannabis inhalation. EEG and subjective drug effects questionnaire (DEQ) were administered pre- and post-ad libitum cannabis inhalation. Fifty participants remained in the clinic for 4 h post-inhalation. Blinded analyses of the EEG files were conducted by Zentrela Inc. using two versions (V1 and V2) of the Cognalyzer(®) algorithm. Pre- vs. post-inhalation comparison status was characterized by the Cognalyzer(®) and summarized for: sensitivity, specificity, accuracy, percent false positive, percent false negative and positive and negative predictive value. The null hypothesis was tested using McNemar’s test. Cognalyzer(®) results pre- and post-inhalation were combined with the oral fluid tetrahydrocannabinol (THC) concentration to evaluate potential to improve current drug testing. RESULTS: The two versions of the Cognalyzer(®) algorithm had similar diagnostic results. Diagnostic outcomes were improved when participants with missing EEG recordings or electrode placement errors were removed. The Cognalyzer(®) accuracy was 85.5% and 83.9%, sensitivity was 87.1% and 88.7%, and specificity was 83.9% and 79.0% for algorithm V1 and V2, respectively. Combining Cognalyzer(®) results with oral fluid concentrations reduced false-positive oral fluid test results by up to 49%. CONCLUSION: The Cognalyzer(®) characterized brainwave alterations associated with cannabis inhalation with high levels of accuracy in a population of participants with varied cannabis inhalation histories, relative to the comparison standard of pre- vs. post-inhalation status. The Cognalyzer(®) allows the results to be generalized to the larger population addressing a limitation in currently accepted standards. |
format | Online Article Text |
id | pubmed-8024442 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-80244422021-04-07 Sensitivity, Specificity and Accuracy of a Novel EEG-Based Objective Test, the Cognalyzer(®), in Detecting Cannabis Psychoactive Effects McDonald, Alison C. Gasperin Haaz, Israel Qi, Weikai Crowley, David C. Guthrie, Najla Evans, Malkanthi Bosnyak, Dan Adv Ther Original Research INTRODUCTION: Current standards for identifying recent cannabis use are based on body fluid testing. The Cognalyzer(®) is a novel electroencephalography (EEG) measurement device and algorithm designed to objectively characterize brainwave alterations associated with cannabis. The objective of this study was to assess the accuracy, sensitivity and specificity levels of the Cognalyzer(®) to characterize brainwave alterations following cannabis inhalation. METHODS: Seventy-five participants, aged 19–55 years, were enrolled, and oral fluid samples were collected pre-cannabis inhalation. EEG and subjective drug effects questionnaire (DEQ) were administered pre- and post-ad libitum cannabis inhalation. Fifty participants remained in the clinic for 4 h post-inhalation. Blinded analyses of the EEG files were conducted by Zentrela Inc. using two versions (V1 and V2) of the Cognalyzer(®) algorithm. Pre- vs. post-inhalation comparison status was characterized by the Cognalyzer(®) and summarized for: sensitivity, specificity, accuracy, percent false positive, percent false negative and positive and negative predictive value. The null hypothesis was tested using McNemar’s test. Cognalyzer(®) results pre- and post-inhalation were combined with the oral fluid tetrahydrocannabinol (THC) concentration to evaluate potential to improve current drug testing. RESULTS: The two versions of the Cognalyzer(®) algorithm had similar diagnostic results. Diagnostic outcomes were improved when participants with missing EEG recordings or electrode placement errors were removed. The Cognalyzer(®) accuracy was 85.5% and 83.9%, sensitivity was 87.1% and 88.7%, and specificity was 83.9% and 79.0% for algorithm V1 and V2, respectively. Combining Cognalyzer(®) results with oral fluid concentrations reduced false-positive oral fluid test results by up to 49%. CONCLUSION: The Cognalyzer(®) characterized brainwave alterations associated with cannabis inhalation with high levels of accuracy in a population of participants with varied cannabis inhalation histories, relative to the comparison standard of pre- vs. post-inhalation status. The Cognalyzer(®) allows the results to be generalized to the larger population addressing a limitation in currently accepted standards. Springer Healthcare 2021-04-07 2021 /pmc/articles/PMC8024442/ /pubmed/33826089 http://dx.doi.org/10.1007/s12325-021-01718-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research McDonald, Alison C. Gasperin Haaz, Israel Qi, Weikai Crowley, David C. Guthrie, Najla Evans, Malkanthi Bosnyak, Dan Sensitivity, Specificity and Accuracy of a Novel EEG-Based Objective Test, the Cognalyzer(®), in Detecting Cannabis Psychoactive Effects |
title | Sensitivity, Specificity and Accuracy of a Novel EEG-Based Objective Test, the Cognalyzer(®), in Detecting Cannabis Psychoactive Effects |
title_full | Sensitivity, Specificity and Accuracy of a Novel EEG-Based Objective Test, the Cognalyzer(®), in Detecting Cannabis Psychoactive Effects |
title_fullStr | Sensitivity, Specificity and Accuracy of a Novel EEG-Based Objective Test, the Cognalyzer(®), in Detecting Cannabis Psychoactive Effects |
title_full_unstemmed | Sensitivity, Specificity and Accuracy of a Novel EEG-Based Objective Test, the Cognalyzer(®), in Detecting Cannabis Psychoactive Effects |
title_short | Sensitivity, Specificity and Accuracy of a Novel EEG-Based Objective Test, the Cognalyzer(®), in Detecting Cannabis Psychoactive Effects |
title_sort | sensitivity, specificity and accuracy of a novel eeg-based objective test, the cognalyzer(®), in detecting cannabis psychoactive effects |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024442/ https://www.ncbi.nlm.nih.gov/pubmed/33826089 http://dx.doi.org/10.1007/s12325-021-01718-6 |
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