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Multimodal analysis of hemodynamic and electrocortical causal interactions during auditory processing.

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Τίτλος: Multimodal analysis of hemodynamic and electrocortical causal interactions during auditory processing.
Συγγραφείς: McLinden J; Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI, United States of America.; Department of Physical Therapy, Northeastern University, Boston, MA, United States of America., Rahimi N; Department of Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, MA, United States of America., Spencer KM; Department of Psychiatry, VA Boston Healthcare System and Harvard Medical School, Boston, MA, United States of America., van 't Wout-Frank M; Department of Psychiatry and Human Behavior Brown University, Providence, RI, United States of America., Shao M; Miner School of Computer and Information Sciences, University of Massachusetts, Lowell, MA, United States of America., Hosni SI; Department of Computer Science, Old Dominion University, Norfolk, VA, United States of America., Adeli B; Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI, United States of America., Cerullo A; Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI, United States of America., Pandey P; Department of Radiology, St. Jude Children's Research Hospital, Memphis, TN, United States of America., Shahriari Y; Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI, United States of America.
Πηγή: Journal of neural engineering [J Neural Eng] 2026 May 11; Vol. 23 (3). Date of Electronic Publication: 2026 May 11.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Institute of Physics Pub Country of Publication: England NLM ID: 101217933 Publication Model: Electronic Cited Medium: Internet ISSN: 1741-2552 (Electronic) Linking ISSN: 17412552 NLM ISO Abbreviation: J Neural Eng Subsets: MEDLINE
Imprint Name(s): Original Publication: Bristol, U.K. : Institute of Physics Pub., 2004-
Ιατρικοί όροι (MeSH): Electroencephalography*/methods , Auditory Cortex*/physiology , Auditory Cortex*/blood supply , Hemodynamics*/physiology , Auditory Perception*/physiology , Neurovascular Coupling*/physiology, Spectroscopy, Near-Infrared/methods ; Acoustic Stimulation/methods ; Cerebrovascular Circulation/physiology ; Humans ; Male ; Female ; Adult ; Young Adult
Περίληψη: Objective. Electrocortical and hemodynamic signals measured by electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) can be used to provide complementary information about neural activity underpinning auditory processing. However, the causal interactions between these signals remain underexplored, partly due to several factors, including the complexity of disentangling cortical and systemic physiological components captured in fNIRS modality. Recent developments in the ability to estimate the influence of non-cortical sources on fNIRS signals provide new opportunities to address these confounds. In this study, we investigated causal interactions between vascular-hemodynamic and electrocortical dynamics through simultaneous recording of fNIRS and EEG during auditory processing.Approach. We employed multimodal multivariate Granger causal analysis to investigate causal interactions between EEG and fNIRS signals. To explore the role of systemic physiology on the obtained causal interactions, a temporally-embedded canonical correlation analysis-general linear model-based preprocessing approach was applied to fNIRS signals to correct for potential systemic physiology confounds.Main results. Our results showed significantly stronger causal interactions originating from fNIRS in the right auditory cortex to frontocentral EEG in the 38-42 Hz frequency range during the auditory task relative to rest before correction. We additionally observed broad connectivity in the direction originating from fNIRS variables to EEG across frequency bands within participants throughout the dataset. These results suggest complex relationships between cortical vascular-hemodynamics, electrocortical oscillations, and systemic physiological components with roles in both task-related and spontaneous neural activity.Significance. This study highlights the complex causal interplay between electrical, cerebral hemodynamic, and systemic physiology components underpinning spontaneous electro-vascular dynamics associated with auditory processing.
(© 2026 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.)
Contributed Indexing: Keywords: auditory processing; electro-vascular interactions; electroencephalography (EEG); functional near-infrared spectroscopy (fNIRS); granger causality
Entry Date(s): Date Created: 20260421 Date Completed: 20260715 Latest Revision: 20260715
Update Code: 20260715
DOI: 10.1088/1741-2552/ae62a6
PMID: 42013886
Βάση Δεδομένων: MEDLINE
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PubType: Academic Journal
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  Data: Multimodal analysis of hemodynamic and electrocortical causal interactions during auditory processing.
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  Data: <searchLink fieldCode="AU" term="%22McLinden+J%22">McLinden J</searchLink>; Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI, United States of America.; Department of Physical Therapy, Northeastern University, Boston, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Rahimi+N%22">Rahimi N</searchLink>; Department of Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Spencer+KM%22">Spencer KM</searchLink>; Department of Psychiatry, VA Boston Healthcare System and Harvard Medical School, Boston, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22van+'t+Wout-Frank+M%22">van 't Wout-Frank M</searchLink>; Department of Psychiatry and Human Behavior Brown University, Providence, RI, United States of America.<br /><searchLink fieldCode="AU" term="%22Shao+M%22">Shao M</searchLink>; Miner School of Computer and Information Sciences, University of Massachusetts, Lowell, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Hosni+SI%22">Hosni SI</searchLink>; Department of Computer Science, Old Dominion University, Norfolk, VA, United States of America.<br /><searchLink fieldCode="AU" term="%22Adeli+B%22">Adeli B</searchLink>; Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI, United States of America.<br /><searchLink fieldCode="AU" term="%22Cerullo+A%22">Cerullo A</searchLink>; Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI, United States of America.<br /><searchLink fieldCode="AU" term="%22Pandey+P%22">Pandey P</searchLink>; Department of Radiology, St. Jude Children's Research Hospital, Memphis, TN, United States of America.<br /><searchLink fieldCode="AU" term="%22Shahriari+Y%22">Shahriari Y</searchLink>; Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI, United States of America.
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  Data: <searchLink fieldCode="JN" term="%22101217933%22">Journal of neural engineering</searchLink> [J Neural Eng] 2026 May 11; Vol. 23 (3). <i>Date of Electronic Publication: </i>2026 May 11.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Institute+of+Physics+Pub%22">Institute of Physics Pub </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101217933 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1741-2552 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2217412552%22">17412552 </searchLink><i>NLM ISO Abbreviation: </i>J Neural Eng <i>Subsets: </i>MEDLINE
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  Data: <i>Original Publication</i>: Bristol, U.K. : Institute of Physics Pub., 2004-
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  Data: <searchLink fieldCode="MM" term="%22Electroencephalography%22">Electroencephalography*</searchLink>/<searchLink fieldCode="MM" term="%22Electroencephalography+methods%22">methods</searchLink> <br /><searchLink fieldCode="MM" term="%22Auditory+Cortex%22">Auditory Cortex*</searchLink>/<searchLink fieldCode="MM" term="%22Auditory+Cortex+physiology%22">physiology</searchLink> <br /><searchLink fieldCode="MM" term="%22Auditory+Cortex%22">Auditory Cortex*</searchLink>/<searchLink fieldCode="MM" term="%22Auditory+Cortex+blood+supply%22">blood supply</searchLink> <br /><searchLink fieldCode="MM" term="%22Hemodynamics%22">Hemodynamics*</searchLink>/<searchLink fieldCode="MM" term="%22Hemodynamics+physiology%22">physiology</searchLink> <br /><searchLink fieldCode="MM" term="%22Auditory+Perception%22">Auditory Perception*</searchLink>/<searchLink fieldCode="MM" term="%22Auditory+Perception+physiology%22">physiology</searchLink> <br /><searchLink fieldCode="MM" term="%22Neurovascular+Coupling%22">Neurovascular Coupling*</searchLink>/<searchLink fieldCode="MM" term="%22Neurovascular+Coupling+physiology%22">physiology</searchLink><br /><searchLink fieldCode="MH" term="%22Spectroscopy%2C+Near-Infrared%22">Spectroscopy, Near-Infrared</searchLink>/<searchLink fieldCode="MH" term="%22Spectroscopy%2C+Near-Infrared+methods%22">methods</searchLink> ; <searchLink fieldCode="MH" term="%22Acoustic+Stimulation%22">Acoustic Stimulation</searchLink>/<searchLink fieldCode="MH" term="%22Acoustic+Stimulation+methods%22">methods</searchLink> ; <searchLink fieldCode="MH" term="%22Cerebrovascular+Circulation%22">Cerebrovascular Circulation</searchLink>/<searchLink fieldCode="MH" term="%22Cerebrovascular+Circulation+physiology%22">physiology</searchLink> ; <searchLink fieldCode="MH" term="%22Humans%22">Humans</searchLink> ; <searchLink fieldCode="MH" term="%22Male%22">Male</searchLink> ; <searchLink fieldCode="MH" term="%22Female%22">Female</searchLink> ; <searchLink fieldCode="MH" term="%22Adult%22">Adult</searchLink> ; <searchLink fieldCode="MH" term="%22Young+Adult%22">Young Adult</searchLink>
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  Group: Ab
  Data: Objective. Electrocortical and hemodynamic signals measured by electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) can be used to provide complementary information about neural activity underpinning auditory processing. However, the causal interactions between these signals remain underexplored, partly due to several factors, including the complexity of disentangling cortical and systemic physiological components captured in fNIRS modality. Recent developments in the ability to estimate the influence of non-cortical sources on fNIRS signals provide new opportunities to address these confounds. In this study, we investigated causal interactions between vascular-hemodynamic and electrocortical dynamics through simultaneous recording of fNIRS and EEG during auditory processing.Approach. We employed multimodal multivariate Granger causal analysis to investigate causal interactions between EEG and fNIRS signals. To explore the role of systemic physiology on the obtained causal interactions, a temporally-embedded canonical correlation analysis-general linear model-based preprocessing approach was applied to fNIRS signals to correct for potential systemic physiology confounds.Main results. Our results showed significantly stronger causal interactions originating from fNIRS in the right auditory cortex to frontocentral EEG in the 38-42 Hz frequency range during the auditory task relative to rest before correction. We additionally observed broad connectivity in the direction originating from fNIRS variables to EEG across frequency bands within participants throughout the dataset. These results suggest complex relationships between cortical vascular-hemodynamics, electrocortical oscillations, and systemic physiological components with roles in both task-related and spontaneous neural activity.Significance. This study highlights the complex causal interplay between electrical, cerebral hemodynamic, and systemic physiology components underpinning spontaneous electro-vascular dynamics associated with auditory processing.<br /> (© 2026 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.)
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  Data: <i>Keywords: </i>auditory processing; electro-vascular interactions; electroencephalography (EEG); functional near-infrared spectroscopy (fNIRS); granger causality
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  Data: <i>Date Created: </i>20260421 <i>Date Completed: </i>20260715 <i>Latest Revision: </i>20260715
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        Text: English
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