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Electrophysiological correlates of mindfulness in patients with major depressive disorder
OBJECTIVES: Mindfulness-based interventions (MBI) can reduce both stress and depressive symptoms. However, the impact of mindfulness on stress level in depressed subjects remains unclear. This study aims to assess electrophysiological correlates of mindfulness in patients with major depressive disor...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606782/ https://www.ncbi.nlm.nih.gov/pubmed/36312017 http://dx.doi.org/10.3389/fnins.2022.971958 |
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author | Sarlon, Jan Brühl, Annette B. Lang, Undine E. Kordon, Andreas |
author_facet | Sarlon, Jan Brühl, Annette B. Lang, Undine E. Kordon, Andreas |
author_sort | Sarlon, Jan |
collection | PubMed |
description | OBJECTIVES: Mindfulness-based interventions (MBI) can reduce both stress and depressive symptoms. However, the impact of mindfulness on stress level in depressed subjects remains unclear. This study aims to assess electrophysiological correlates of mindfulness in patients with major depressive disorder (MDD) at baseline, under stress exposure, and in relaxation following stress exposure. METHODS: Perceived mindfulness was assessed with the Freiburger Mindfulness Inventory (FMI) in 89 inpatients (mean age 51) with MDD [mean Beck Depression Inventory (BDI) 30]. Electrophysiological parameters [resting heart rate (RHR), heart rate variability (HRV), respiration rate, skin conductance, and skin temperature] were recorded at 5-min baseline, 1-min stress exposure, and 5-min self-induced relaxation. RESULTS: Freiburger Mindfulness Inventory was strongly inversely correlated with symptom severity measured by BDI (r = –0.53, p < 0.001). No correlations between FM score and electrophysiological parameters in any of the three conditions (baseline, stress exposure, relaxed state) could be found. The factor openness was associated with higher VLF (very low frequency of HRV) in the baseline condition. However, this correlation was no more significant after regression analysis when corrected for respiratory rate, age, and sex. CONCLUSION: Autonomous nervous reactivity in depression was not associated with perceived mindfulness as measured by FMI score and presented electrophysiological parameters, despite the strong inverse correlation between state mindfulness and symptom severity. |
format | Online Article Text |
id | pubmed-9606782 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96067822022-10-28 Electrophysiological correlates of mindfulness in patients with major depressive disorder Sarlon, Jan Brühl, Annette B. Lang, Undine E. Kordon, Andreas Front Neurosci Neuroscience OBJECTIVES: Mindfulness-based interventions (MBI) can reduce both stress and depressive symptoms. However, the impact of mindfulness on stress level in depressed subjects remains unclear. This study aims to assess electrophysiological correlates of mindfulness in patients with major depressive disorder (MDD) at baseline, under stress exposure, and in relaxation following stress exposure. METHODS: Perceived mindfulness was assessed with the Freiburger Mindfulness Inventory (FMI) in 89 inpatients (mean age 51) with MDD [mean Beck Depression Inventory (BDI) 30]. Electrophysiological parameters [resting heart rate (RHR), heart rate variability (HRV), respiration rate, skin conductance, and skin temperature] were recorded at 5-min baseline, 1-min stress exposure, and 5-min self-induced relaxation. RESULTS: Freiburger Mindfulness Inventory was strongly inversely correlated with symptom severity measured by BDI (r = –0.53, p < 0.001). No correlations between FM score and electrophysiological parameters in any of the three conditions (baseline, stress exposure, relaxed state) could be found. The factor openness was associated with higher VLF (very low frequency of HRV) in the baseline condition. However, this correlation was no more significant after regression analysis when corrected for respiratory rate, age, and sex. CONCLUSION: Autonomous nervous reactivity in depression was not associated with perceived mindfulness as measured by FMI score and presented electrophysiological parameters, despite the strong inverse correlation between state mindfulness and symptom severity. Frontiers Media S.A. 2022-10-13 /pmc/articles/PMC9606782/ /pubmed/36312017 http://dx.doi.org/10.3389/fnins.2022.971958 Text en Copyright © 2022 Sarlon, Brühl, Lang and Kordon. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Sarlon, Jan Brühl, Annette B. Lang, Undine E. Kordon, Andreas Electrophysiological correlates of mindfulness in patients with major depressive disorder |
title | Electrophysiological correlates of mindfulness in patients with major depressive disorder |
title_full | Electrophysiological correlates of mindfulness in patients with major depressive disorder |
title_fullStr | Electrophysiological correlates of mindfulness in patients with major depressive disorder |
title_full_unstemmed | Electrophysiological correlates of mindfulness in patients with major depressive disorder |
title_short | Electrophysiological correlates of mindfulness in patients with major depressive disorder |
title_sort | electrophysiological correlates of mindfulness in patients with major depressive disorder |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606782/ https://www.ncbi.nlm.nih.gov/pubmed/36312017 http://dx.doi.org/10.3389/fnins.2022.971958 |
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