Files and links (1)
Published, Version of Record (VoR)CC BY V4.0, Open
Journal article
Evaluation of fNIRS signal components elicited by cognitive and hypercapnic stimuli
Scientific reports, v 11(1), pp 23457-23457
06 Dec 2021
PMID: 34873185
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Functional near infrared spectroscopy (fNIRS) measurements are confounded by signal components originating from multiple physiological causes, whose activities may vary temporally and spatially (across tissue layers, and regions of the cortex). Furthermore, the stimuli can induce evoked effects, which may lead to over or underestimation of the actual effect of interest. Here, we conducted a temporal, spectral, and spatial analysis of fNIRS signals collected during cognitive and hypercapnic stimuli to characterize effects of functional versus systemic responses. We utilized wavelet analysis to discriminate physiological causes and employed long and short source-detector separation (SDS) channels to differentiate tissue layers. Multi-channel measures were analyzed further to distinguish hemispheric differences. The results highlight cardiac, respiratory, myogenic, and very low frequency (VLF) activities within fNIRS signals. Regardless of stimuli, activity within the VLF band had the largest contribution to the overall signal. The systemic activities dominated the measurements from the short SDS channels during cognitive stimulus, but not hypercapnic stimulus. Importantly, results indicate that characteristics of fNIRS signals vary with type of the stimuli administered as cognitive stimulus elicited variable responses between hemispheres in VLF band and task-evoked temporal effect in VLF, myogenic and respiratory bands, while hypercapnic stimulus induced a global response across both hemispheres.
Metrics
Details
- Title
- Evaluation of fNIRS signal components elicited by cognitive and hypercapnic stimuli
- Creators
- Pratusha Reddy - Drexel UniversityMeltem Izzetoglu - Villanova UniversityPatricia A Shewokis - Drexel UniversityMichael Sangobowale - Clinical TBI Research Center and Department of Neurology, University of Pennsylvania Perelman School of MedicineRamon Diaz-Arrastia - Clinical TBI Research Center and Department of Neurology, University of Pennsylvania Perelman School of MedicineKurtulus Izzetoglu - Drexel University
- Publication Details
- Scientific reports, v 11(1), pp 23457-23457
- Publisher
- Springer Nature
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems; Nutrition Sciences
- Web of Science ID
- WOS:000727615800036
- Scopus ID
- 2-s2.0-85120898521
- Other Identifier
- 991019167963404721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Neurosciences