Investigation of electro-vascular phase-amplitude coupling during an auditory task

被引:2
作者
Mclinden, J. [1 ]
Rahimi, N. [2 ]
Kumar, C. [2 ]
Krusienski, D. J. [3 ]
Shao, M. [2 ]
Spencer, K. M. [4 ,5 ]
Shahriari, Y. [1 ]
机构
[1] Univ Rhode Isl, Dept Elect Comp & Biomed Engn, Kingston, RI 02881 USA
[2] Univ Massachusetts, Dept Comp & Informat Sci, Dartmouth, MA USA
[3] Virginia Commonwealth Univ, Dept Biomed Engn, Richmond, VA 23298 USA
[4] VA Boston Healthcare Syst, Dept Psychiat, Brockton, MA USA
[5] Harvard Med Sch, Boston, MA USA
基金
美国国家科学基金会;
关键词
Electroencephalography (EEG); Functional near-infrared spectroscopy (fNIRS); Electro-vascular coupling; Auditory processing; Multimodal neuroimaging; EEG; COMMUNICATION; OSCILLATIONS;
D O I
10.1016/j.compbiomed.2023.107902
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Multimodal neuroimaging using electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) provides complementary views of cortical processes, including those related to auditory processing. However, current multimodal approaches often overlook potential insights that can be gained from nonlinear interactions between electrical and hemodynamic signals. Here, we explore electro-vascular phase-amplitude coupling (PAC) between low-frequency hemodynamic and high-frequency electrical oscillations during an auditory task. We further apply a temporally embedded canonical correlation analysis (tCCA)-general linear model (GLM)-based correction approach to reduce the possible effect of systemic physiology on fNIRS recordings. Before correction, we observed significant PAC between fNIRS and broadband EEG in the frontal region (p MUCH LESS-THAN 0.05), beta (p MUCH LESS-THAN 0.05) and gamma (p = 0.010) in the left temporal/temporoparietal (left auditory; LA) region, and gamma (p = 0.032) in the right temporal/temporoparietal (right auditory; RA) region across the entire dataset. Sig-nificant differences in PAC across conditions (task versus silence) were observed in LA (p = 0.023) and RA (p = 0.049) gamma sub-bands and in lower frequency (5-20 Hz) frontal activity (p = 0.005). After correction, significant fNIRS-gamma-band PAC was observed in the frontal (p = 0.021) and LA (p = 0.025) regions, while fNIRS-alpha (p = 0.003) and fNIRS-beta (p = 0.041) PAC were observed in RA. Decreased frontal gamma-band (p = 0.008) and increased beta-band (p MUCH LESS-THAN 0.05) PAC were observed during the task. These outcomes represent the first characterization of electro-vascular PAC between fNIRS and EEG signals during an auditory task, providing insights into electro-vascular coupling in auditory processing.
引用
收藏
页数:10
相关论文
共 76 条
  • [1] Characterization of the relative contributions from systemic physiological noise to whole-brain resting-state functional near-infrared spectroscopy data using single-channel independent component analysis
    Aarabi, Ardalan
    Huppert, Theodore J.
    [J]. NEUROPHOTONICS, 2016, 3 (02)
  • [2] Merging fNIRS-EEG Brain Monitoring and Body Motion Capture to Distinguish Parkinsons Disease
    Abtahi, Mohammadreza
    Borgheai, Seyed Bahram
    Jafari, Roohollah
    Constant, Nicholas
    Diouf, Rassoul
    Shahriari, Yalda
    Mankodiya, Kunal
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 28 (06) : 1246 - 1253
  • [3] Frontal EEG theta/beta ratio as an electrophysiological marker for attentional control and its test-retest reliability
    Angelidis, Angelos
    van der Does, Willem
    Schakel, Lemmy
    Putman, Peter
    [J]. BIOLOGICAL PSYCHOLOGY, 2016, 121 : 49 - 52
  • [4] Single-trial analysis and classification of ERP components - A tutorial
    Blankertz, Benjamin
    Lemm, Steven
    Treder, Matthias
    Haufe, Stefan
    Mueller, Klaus-Robert
    [J]. NEUROIMAGE, 2011, 56 (02) : 814 - 825
  • [5] Enhancing Communication for People in Late-Stage ALS Using an fNIRS-Based BCI System
    Borgheai, Seyyed Bahram
    McLinden, John
    Zisk, Alyssa Hillary
    Hosni, Sarah Ismail
    Deligani, Roohollah Jafari
    Abtahi, Mohammadreza
    Mankodiya, Kunal
    Shahriari, Yalda
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 28 (05) : 1198 - 1207
  • [6] How short is short? Optimum source-detector distance for short-separation channels in functional near-infrared spectroscopy
    Brigadoi, Sabrina
    Cooper, Robert J.
    [J]. NEUROPHOTONICS, 2015, 2 (02)
  • [7] Investigative analysis of different mutation on diversity-driven multi-parent evolutionary algorithm and its application in area coverage optimization of WSN
    Chauhan, Sumika
    Singh, Manmohan
    Aggarwal, Ashwani Kumar
    [J]. SOFT COMPUTING, 2023, 27 (14) : 9565 - 9591
  • [8] Designing of optimal digital IIR filter in the multi-objective framework using an evolutionary algorithm
    Chauhan, Sumika
    Singh, Manmohan
    Aggarwal, Ashwani Kumar
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 119
  • [9] Evidence of Neurovascular Un-Coupling in Mild Alzheimer's Disease through Multimodal EEG-fNIRS and Multivariate Analysis of Resting-State Data
    Chiarelli, Antonio M.
    Perpetuini, David
    Croce, Pierpaolo
    Filippini, Chiara
    Cardone, Daniela
    Rotunno, Ludovica
    Anzoletti, Nelson
    Zito, Michele
    Zappasodi, Filippo
    Merla, Arcangelo
    [J]. BIOMEDICINES, 2021, 9 (04)
  • [10] Chiarelli AM, 2017, NEUROPHOTONICS, V4, DOI [10.1117/1.NPh.4.4.041411, 10.1117/1.NPh.4.4.041411]]