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Toward reanimating the laughter‐involved large‐scale brain networks to alleviate affective symptoms
INTRODUCTION: The practicality of the idea whether the laughter‐involved large‐scale brain networks can be stimulated to remediate affective symptoms, namely depression, has remained elusive. METHODS: In this study, 25 healthy individuals were tested through 21‐channel quantitative electroencephalog...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9304826/ https://www.ncbi.nlm.nih.gov/pubmed/35687720 http://dx.doi.org/10.1002/brb3.2640 |
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author | Zarei, Shahab A. Yahyavi, Seyedeh‐Saeedeh Salehi, Iman Kazemiha, Milad Kamali, Ali‐Mohammad Nami, Mohammad |
author_facet | Zarei, Shahab A. Yahyavi, Seyedeh‐Saeedeh Salehi, Iman Kazemiha, Milad Kamali, Ali‐Mohammad Nami, Mohammad |
author_sort | Zarei, Shahab A. |
collection | PubMed |
description | INTRODUCTION: The practicality of the idea whether the laughter‐involved large‐scale brain networks can be stimulated to remediate affective symptoms, namely depression, has remained elusive. METHODS: In this study, 25 healthy individuals were tested through 21‐channel quantitative electroencephalography (qEEG) setup upon resting state and while submitted to standardized funny video clips (corated by two behavioral neuroscientists and a verified expert comedian, into neutral and mildly to highly funny). We evaluated the individuals’ facial expressions against the valence and intensity of each stimulus through the Nuldos face analysis software. The study also employed an eye‐tracking setup to examine fixations, gaze, and saccadic movements upon each task. In addition, changes in polygraphic parameters were monitored upon resting state and exposure to clips using the 4‐channel Nexus polygraphy setup. RESULTS: The happy facial expression analysis, as a function of rated funny clips, showed a significant difference against neutral videos (p < 0.001). In terms of the polygraphic changes, heart rate variability and the trapezius muscle surface electromyography measures were significantly higher upon exposure to funny vs. neutral videos (p < 0.5). The average pupil size and fixation drifts were significantly higher and lower, respectively, upon exposure to funny videos (p < 0.01). The qEEG data revealed the highest current source density (CSD) for the alpha frequency band localized in the left frontotemporal network (FTN) upon exposure to funny clips. Additionally, left FTN acquired the highest value for theta coherence z‐score, while the beta CSD predominantly fell upon the salience network (SN). CONCLUSIONS: These preliminary data support the notion that left FTN may be targeted as a cortical hub for noninvasive neuromodulation as a single or adjunct therapy in remediating affective disorders in the clinical setting. Further studies are needed to test the hypotheses derived from the present report. |
format | Online Article Text |
id | pubmed-9304826 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93048262022-07-26 Toward reanimating the laughter‐involved large‐scale brain networks to alleviate affective symptoms Zarei, Shahab A. Yahyavi, Seyedeh‐Saeedeh Salehi, Iman Kazemiha, Milad Kamali, Ali‐Mohammad Nami, Mohammad Brain Behav Original Articles INTRODUCTION: The practicality of the idea whether the laughter‐involved large‐scale brain networks can be stimulated to remediate affective symptoms, namely depression, has remained elusive. METHODS: In this study, 25 healthy individuals were tested through 21‐channel quantitative electroencephalography (qEEG) setup upon resting state and while submitted to standardized funny video clips (corated by two behavioral neuroscientists and a verified expert comedian, into neutral and mildly to highly funny). We evaluated the individuals’ facial expressions against the valence and intensity of each stimulus through the Nuldos face analysis software. The study also employed an eye‐tracking setup to examine fixations, gaze, and saccadic movements upon each task. In addition, changes in polygraphic parameters were monitored upon resting state and exposure to clips using the 4‐channel Nexus polygraphy setup. RESULTS: The happy facial expression analysis, as a function of rated funny clips, showed a significant difference against neutral videos (p < 0.001). In terms of the polygraphic changes, heart rate variability and the trapezius muscle surface electromyography measures were significantly higher upon exposure to funny vs. neutral videos (p < 0.5). The average pupil size and fixation drifts were significantly higher and lower, respectively, upon exposure to funny videos (p < 0.01). The qEEG data revealed the highest current source density (CSD) for the alpha frequency band localized in the left frontotemporal network (FTN) upon exposure to funny clips. Additionally, left FTN acquired the highest value for theta coherence z‐score, while the beta CSD predominantly fell upon the salience network (SN). CONCLUSIONS: These preliminary data support the notion that left FTN may be targeted as a cortical hub for noninvasive neuromodulation as a single or adjunct therapy in remediating affective disorders in the clinical setting. Further studies are needed to test the hypotheses derived from the present report. John Wiley and Sons Inc. 2022-06-10 /pmc/articles/PMC9304826/ /pubmed/35687720 http://dx.doi.org/10.1002/brb3.2640 Text en © 2022 The Authors. Brain and Behavior published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Zarei, Shahab A. Yahyavi, Seyedeh‐Saeedeh Salehi, Iman Kazemiha, Milad Kamali, Ali‐Mohammad Nami, Mohammad Toward reanimating the laughter‐involved large‐scale brain networks to alleviate affective symptoms |
title | Toward reanimating the laughter‐involved large‐scale brain networks to alleviate affective symptoms |
title_full | Toward reanimating the laughter‐involved large‐scale brain networks to alleviate affective symptoms |
title_fullStr | Toward reanimating the laughter‐involved large‐scale brain networks to alleviate affective symptoms |
title_full_unstemmed | Toward reanimating the laughter‐involved large‐scale brain networks to alleviate affective symptoms |
title_short | Toward reanimating the laughter‐involved large‐scale brain networks to alleviate affective symptoms |
title_sort | toward reanimating the laughter‐involved large‐scale brain networks to alleviate affective symptoms |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9304826/ https://www.ncbi.nlm.nih.gov/pubmed/35687720 http://dx.doi.org/10.1002/brb3.2640 |
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