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An improved human anxiety process biomarker: characterization of frequency band, personality and pharmacology
Anxiety disorders are among the most common mental illness in the western world with a major impact on disability. But their diagnosis has lacked objective biomarkers. We previously demonstrated a human anxiety process biomarker, goal-conflict-specific electroencephalography (EEG) rhythmicity (GCSR)...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5068587/ https://www.ncbi.nlm.nih.gov/pubmed/26670284 http://dx.doi.org/10.1038/tp.2015.188 |
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author | Shadli, S M Glue, P McIntosh, J McNaughton, N |
author_facet | Shadli, S M Glue, P McIntosh, J McNaughton, N |
author_sort | Shadli, S M |
collection | PubMed |
description | Anxiety disorders are among the most common mental illness in the western world with a major impact on disability. But their diagnosis has lacked objective biomarkers. We previously demonstrated a human anxiety process biomarker, goal-conflict-specific electroencephalography (EEG) rhythmicity (GCSR) in the stop-signal task (SST). Here we have developed and characterized an improved test appropriate for clinical group testing. We modified the SST to produce balanced numbers of trials in clearly separated stop-signal delay groups. As previously, right frontal (F8) GCSR was extracted as the difference in EEG log Fourier power between matching stop and go trials (that is, stop-signal-specific power) of a quadratic contrast of the three delay values (that is, power when stopping and going are in balanced conflict compared with the average of when stopping or going is greater). Separate experiments assessed drug sensitivity (n=34) and personality relations (n=59). GCSR in this new SST was reduced by three chemically distinct anxiolytic drugs (administered double-blind): buspirone (10 mg), triazolam (0.25 mg) and pregabalin (75 mg); had a frequency range (4–12 Hz) consistent with rodent model data; and positively correlated significantly with neuroticism and nonsignificantly with trait anxiety scores. GCSR, measured in our new form of the SST, should be suitable as a biomarker for one specific anxiety process in the testing of clinical groups and novel drugs and in the development of measures suitable for individual diagnosis. |
format | Online Article Text |
id | pubmed-5068587 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50685872016-10-20 An improved human anxiety process biomarker: characterization of frequency band, personality and pharmacology Shadli, S M Glue, P McIntosh, J McNaughton, N Transl Psychiatry Original Article Anxiety disorders are among the most common mental illness in the western world with a major impact on disability. But their diagnosis has lacked objective biomarkers. We previously demonstrated a human anxiety process biomarker, goal-conflict-specific electroencephalography (EEG) rhythmicity (GCSR) in the stop-signal task (SST). Here we have developed and characterized an improved test appropriate for clinical group testing. We modified the SST to produce balanced numbers of trials in clearly separated stop-signal delay groups. As previously, right frontal (F8) GCSR was extracted as the difference in EEG log Fourier power between matching stop and go trials (that is, stop-signal-specific power) of a quadratic contrast of the three delay values (that is, power when stopping and going are in balanced conflict compared with the average of when stopping or going is greater). Separate experiments assessed drug sensitivity (n=34) and personality relations (n=59). GCSR in this new SST was reduced by three chemically distinct anxiolytic drugs (administered double-blind): buspirone (10 mg), triazolam (0.25 mg) and pregabalin (75 mg); had a frequency range (4–12 Hz) consistent with rodent model data; and positively correlated significantly with neuroticism and nonsignificantly with trait anxiety scores. GCSR, measured in our new form of the SST, should be suitable as a biomarker for one specific anxiety process in the testing of clinical groups and novel drugs and in the development of measures suitable for individual diagnosis. Nature Publishing Group 2015-12 2015-12-15 /pmc/articles/PMC5068587/ /pubmed/26670284 http://dx.doi.org/10.1038/tp.2015.188 Text en Copyright © 2015 Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Original Article Shadli, S M Glue, P McIntosh, J McNaughton, N An improved human anxiety process biomarker: characterization of frequency band, personality and pharmacology |
title | An improved human anxiety process biomarker: characterization of frequency band, personality and pharmacology |
title_full | An improved human anxiety process biomarker: characterization of frequency band, personality and pharmacology |
title_fullStr | An improved human anxiety process biomarker: characterization of frequency band, personality and pharmacology |
title_full_unstemmed | An improved human anxiety process biomarker: characterization of frequency band, personality and pharmacology |
title_short | An improved human anxiety process biomarker: characterization of frequency band, personality and pharmacology |
title_sort | improved human anxiety process biomarker: characterization of frequency band, personality and pharmacology |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5068587/ https://www.ncbi.nlm.nih.gov/pubmed/26670284 http://dx.doi.org/10.1038/tp.2015.188 |
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