Physiological fluctuations show frequency-specific networks in fNIRS signals during resting state

Raul Fernandez Rojas, Xu Huang, Jesus Hernandez-Juarez, Keng Liang Ou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Physiological fluctuations are commonly present in functional studies of hemodynamic response such as functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRS). However, the effects of these signals in neural mechanisms are not fully understood. Thus, the aim of this study is to propose that frequency-specific networks exist in the somatosensory region within the frequency range of physiological fluctuations. We used a wavelet coherence approach to identify functional connectivity between cortical regions. Based on the spectral response, four frequency bands were identified: cardiac (0.8-1.5 Hz), respiration (0.16-0.6 Hz), low frequency oscillations (LFO) (0.04-0.15 Hz), and very low frequency oscillations (VLFO) (0.0130.04 Hz). Eight cortical networks were revealed after ipsilateral and contralateral analysis to evaluate connectivity in each frequency band. The ANOVA analysis proved the adequacy of the connectivity map for all frequencies bands. Finally, these findings suggest possible frequency-specific organizations within the frequency bands of physiological fluctuations in the resting human brain.

Original languageEnglish
Title of host publication2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publicationSmarter Technology for a Healthier World, EMBC 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2550-2553
Number of pages4
ISBN (Electronic)9781509028092
DOIs
Publication statusPublished - Sep 13 2017
Event39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - Jeju Island, Korea, Republic of
Duration: Jul 11 2017Jul 15 2017

Other

Other39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
CountryKorea, Republic of
CityJeju Island
Period7/11/177/15/17

Fingerprint

Near infrared spectroscopy
Near-Infrared Spectroscopy
Frequency bands
Analysis of Variance
Respiration
Hemodynamics
Analysis of variance (ANOVA)
Magnetic Resonance Imaging
Brain

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Fernandez Rojas, R., Huang, X., Hernandez-Juarez, J., & Ou, K. L. (2017). Physiological fluctuations show frequency-specific networks in fNIRS signals during resting state. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings (pp. 2550-2553). [8037377] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2017.8037377

Physiological fluctuations show frequency-specific networks in fNIRS signals during resting state. / Fernandez Rojas, Raul; Huang, Xu; Hernandez-Juarez, Jesus; Ou, Keng Liang.

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 2550-2553 8037377.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fernandez Rojas, R, Huang, X, Hernandez-Juarez, J & Ou, KL 2017, Physiological fluctuations show frequency-specific networks in fNIRS signals during resting state. in 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings., 8037377, Institute of Electrical and Electronics Engineers Inc., pp. 2550-2553, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017, Jeju Island, Korea, Republic of, 7/11/17. https://doi.org/10.1109/EMBC.2017.8037377
Fernandez Rojas R, Huang X, Hernandez-Juarez J, Ou KL. Physiological fluctuations show frequency-specific networks in fNIRS signals during resting state. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 2550-2553. 8037377 https://doi.org/10.1109/EMBC.2017.8037377
Fernandez Rojas, Raul ; Huang, Xu ; Hernandez-Juarez, Jesus ; Ou, Keng Liang. / Physiological fluctuations show frequency-specific networks in fNIRS signals during resting state. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 2550-2553
@inproceedings{c8e2e3a013234cf39b33b8b1fff041f6,
title = "Physiological fluctuations show frequency-specific networks in fNIRS signals during resting state",
abstract = "Physiological fluctuations are commonly present in functional studies of hemodynamic response such as functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRS). However, the effects of these signals in neural mechanisms are not fully understood. Thus, the aim of this study is to propose that frequency-specific networks exist in the somatosensory region within the frequency range of physiological fluctuations. We used a wavelet coherence approach to identify functional connectivity between cortical regions. Based on the spectral response, four frequency bands were identified: cardiac (0.8-1.5 Hz), respiration (0.16-0.6 Hz), low frequency oscillations (LFO) (0.04-0.15 Hz), and very low frequency oscillations (VLFO) (0.0130.04 Hz). Eight cortical networks were revealed after ipsilateral and contralateral analysis to evaluate connectivity in each frequency band. The ANOVA analysis proved the adequacy of the connectivity map for all frequencies bands. Finally, these findings suggest possible frequency-specific organizations within the frequency bands of physiological fluctuations in the resting human brain.",
author = "{Fernandez Rojas}, Raul and Xu Huang and Jesus Hernandez-Juarez and Ou, {Keng Liang}",
year = "2017",
month = "9",
day = "13",
doi = "10.1109/EMBC.2017.8037377",
language = "English",
pages = "2550--2553",
booktitle = "2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Physiological fluctuations show frequency-specific networks in fNIRS signals during resting state

AU - Fernandez Rojas, Raul

AU - Huang, Xu

AU - Hernandez-Juarez, Jesus

AU - Ou, Keng Liang

PY - 2017/9/13

Y1 - 2017/9/13

N2 - Physiological fluctuations are commonly present in functional studies of hemodynamic response such as functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRS). However, the effects of these signals in neural mechanisms are not fully understood. Thus, the aim of this study is to propose that frequency-specific networks exist in the somatosensory region within the frequency range of physiological fluctuations. We used a wavelet coherence approach to identify functional connectivity between cortical regions. Based on the spectral response, four frequency bands were identified: cardiac (0.8-1.5 Hz), respiration (0.16-0.6 Hz), low frequency oscillations (LFO) (0.04-0.15 Hz), and very low frequency oscillations (VLFO) (0.0130.04 Hz). Eight cortical networks were revealed after ipsilateral and contralateral analysis to evaluate connectivity in each frequency band. The ANOVA analysis proved the adequacy of the connectivity map for all frequencies bands. Finally, these findings suggest possible frequency-specific organizations within the frequency bands of physiological fluctuations in the resting human brain.

AB - Physiological fluctuations are commonly present in functional studies of hemodynamic response such as functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRS). However, the effects of these signals in neural mechanisms are not fully understood. Thus, the aim of this study is to propose that frequency-specific networks exist in the somatosensory region within the frequency range of physiological fluctuations. We used a wavelet coherence approach to identify functional connectivity between cortical regions. Based on the spectral response, four frequency bands were identified: cardiac (0.8-1.5 Hz), respiration (0.16-0.6 Hz), low frequency oscillations (LFO) (0.04-0.15 Hz), and very low frequency oscillations (VLFO) (0.0130.04 Hz). Eight cortical networks were revealed after ipsilateral and contralateral analysis to evaluate connectivity in each frequency band. The ANOVA analysis proved the adequacy of the connectivity map for all frequencies bands. Finally, these findings suggest possible frequency-specific organizations within the frequency bands of physiological fluctuations in the resting human brain.

UR - http://www.scopus.com/inward/record.url?scp=85032206183&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85032206183&partnerID=8YFLogxK

U2 - 10.1109/EMBC.2017.8037377

DO - 10.1109/EMBC.2017.8037377

M3 - Conference contribution

AN - SCOPUS:85032206183

SP - 2550

EP - 2553

BT - 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

PB - Institute of Electrical and Electronics Engineers Inc.

ER -