Professor Miriam Johnson Miriam.Johnson@hull.ac.uk
Professor
Magnetoencephalography to investigate central perception of exercise-induced breathlessness in people with chronic lung disease: A feasibility pilot
Johnson, Miriam J.; Simpson, Michael I.G.; Currow, David C.; Millman, Rebecca E.; Hart, Simon P.; Green, Gary
Authors
Michael I.G. Simpson
David C. Currow
Rebecca E. Millman
Professor Simon Hart S.Hart@hull.ac.uk
Professor in Respiratory Medicine
Gary Green
Abstract
Objectives: Neuroimaging in chronic breathlessness is challenging. The study objective was to test the feasibility of magnetoencephalography (MEG) for functional neuroimaging of people with chronic breathlessness. Design: Feasibility pilot study. Setting: Respiratory clinic out-patients. Participants: 8 patients (mean age=62; (range 47-83); 4 men) with chronic non-malignant lung disease; modified MRC breathlessness score ≥3 (median mMRC=4), intensity of exercise-induced breathlessness > 3/10; no contraindication to MRI scanning. Methods and measures: 4 MEG scans were conducted for each participant: (1) at rest (5 mins), (2) postseated leg exercise-induced breathlessness during recovery (10 mins). Recovery scans (2) were conducted with/without facial airflow in random order; both scans were repeated 1 h later. Participants rated breathlessness intensity (0-10 Numerical Rating Scale (NRS)) at baseline, maximal exertion and every minute during recovery, and rated acceptability of study procedures at the end of the study (0-10 NRS). A structural MRI scan was conducted for MEG coregistration and source-space analyses. Rest data were compared with data from healthy volunteers (N=6; 5 men; mean age=30.7 years±3.9 years). Results: Exercises and MEG scanning were acceptable to all participants; 7/8 completed the MRI scans. Maximum breathlessness intensity was induced by 5 min' exercise. The same level was induced for repeat scans (median=8; IQR=7-8). All recovered to baseline by 10 min. Time-frequency profiles of data from the first and last 3 min were analysed in MEG source space based on breathlessness location estimates. Source localisation was performed, but anatomical source inference was limited to the level of the lobe. Differences in areas of activity were seen: during recovery scans; with and without airflow; and between participants/normal volunteers at rest. Conclusions: MEG is a feasible method to investigate exercise-induced breathlessness in people breathless with chronic lung disease, and able to identify neural activity related to changes in breathlessness.
Citation
Johnson, M. J., Simpson, M. I., Currow, D. C., Millman, R. E., Hart, S. P., & Green, G. (2015). Magnetoencephalography to investigate central perception of exercise-induced breathlessness in people with chronic lung disease: A feasibility pilot. BMJ open, 5(6), Article ARTN e007535. https://doi.org/10.1136/bmjopen-2014-007535
Journal Article Type | Article |
---|---|
Acceptance Date | May 8, 2015 |
Online Publication Date | Jun 10, 2015 |
Publication Date | Jun 10, 2015 |
Deposit Date | Aug 6, 2015 |
Publicly Available Date | Nov 23, 2017 |
Journal | BMJ open |
Print ISSN | 2044-6055 |
Publisher | BMJ Publishing Group |
Peer Reviewed | Peer Reviewed |
Volume | 5 |
Issue | 6 |
Article Number | ARTN e007535 |
DOI | https://doi.org/10.1136/bmjopen-2014-007535 |
Keywords | Breathlessness; Magnetoencephalography; Functional neuroimaging |
Public URL | https://hull-repository.worktribe.com/output/377505 |
Publisher URL | http://bmjopen.bmj.com/content/5/6/e007535 |
Additional Information | Copy of article published in: BMJ open, 2015, issue 5 |
Contract Date | Nov 23, 2017 |
Files
Article.pdf
(3.6 Mb)
PDF
Copyright Statement
This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported license
You might also like
Health service utilisation associated with chronic breathlessness: random population sample
(2021)
Journal Article
Downloadable Citations
About Repository@Hull
Administrator e-mail: repository@hull.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search