Abstract:
:Nasal inhalation is the basis of olfactory perception and drives neural activity in olfactory and limbic brain regions. Therefore, our ability to investigate the neural underpinnings of olfaction and respiration can only be as good as our ability to characterize features of respiratory behavior. However, recordings of natural breathing are inherently nonstationary, nonsinusoidal, and idiosyncratic making feature extraction difficult to automate. The absence of a freely available computational tool for characterizing respiratory behavior is a hindrance to many facets of olfactory and respiratory neuroscience. To solve this problem, we developed BreathMetrics, an open-source tool that automatically extracts the full set of features embedded in human nasal airflow recordings. Here, we rigorously validate BreathMetrics' feature estimation accuracy on multiple nasal airflow datasets, intracranial electrophysiological recordings of human olfactory cortex, and computational simulations of breathing signals. We hope this tool will allow researchers to ask new questions about how respiration relates to body, brain, and behavior.
journal_name
Chem Sensesjournal_title
Chemical sensesauthors
Noto T,Zhou G,Schuele S,Templer J,Zelano Cdoi
10.1093/chemse/bjy045subject
Has Abstractpub_date
2018-09-22 00:00:00pages
583-597issue
8eissn
0379-864Xissn
1464-3553pii
5050471journal_volume
43pub_type
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