European Respiratory JournalNeurosciencePeer-reviewed journal article
Treating the lungs via the brain: Mechanisms underpinning improvements in breathlessness with pulmonary rehabilitation.
Mari HerigstadiD, Olivia K. HarrisoniD, Anja HayeniD, Eleanor F. Evans, Frances M. Hardinge, Katja WiechiD, Kyle T.S. PattinsoniD
Abstract
BackgroundBreathlessness in chronic obstructive pulmonary disease (COPD) is often discordant with airway pathophysiology (\"over-perception\"). Pulmonary rehabilitation has profound effects upon breathlessness, without influencing lung function. Learned associations can influence brain mechanisms of sensory perception. We therefore hypothesised that improvements in breathlessness with pulmonary rehabilitation may be explained by changing neural representations of learned associations, reducing \"over-perception\".\n\nMethodsIn 31 patients with COPD, we tested how pulmonary rehabilitation altered the relationship between brain activity during learned associations with a word-cue task (using functional magnetic resonance imaging), clinical, and psychological measures of breathlessness.\n\nResultsImprovements in breathlessness and breathlessness-anxiety correlated with reductions in word-cue related activity in the insula and anterior cingulate cortex (ACC) (breathlessness), and increased activations in attention regulation and motor networks (breathlessness-anxiety). Greater baseline (pre-rehabilitation) activity in the insula, ACC and prefrontal cortex correlated with the magnitude of improvement in breathlessness and breathlessness anxiety.\n\nConclusionsPulmonary rehabilitation reduces the influence of learned associations upon neural processes that generate breathlessness. Patients with stronger word-cue related activity at baseline benefitted more from pulmonary rehabilitation. These findings highlight the importance of targeting learned associations within treatments for COPD, demonstrating how neuroimaging may contribute to patient stratification and more successful personalised therapy.
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- 103
- FWCI
- 10.63
- Field percentile
- top 1%
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