FMRI hemodynamics accurately reflects neuronal timing in the human brain measured by MEG

Fa Hsuan Lin; Thomas Witzel; Tommi Raij; Jyrki Ahveninen; Kevin Wen-Kai Tsai; Yin Hua Chu; Wei Tang Chang; Aapo Nummenmaa; Jonathan R. Polimeni; Wen Jui Kuo; Jen Chuen Hsieh; Bruce R. Rosen; John W. Belliveau

doi:10.1016/j.neuroimage.2013.04.017

FMRI hemodynamics accurately reflects neuronal timing in the human brain measured by MEG

Fa Hsuan Lin^*, Thomas Witzel, Tommi Raij, Jyrki Ahveninen, Kevin Wen-Kai Tsai, Yin Hua Chu, Wei Tang Chang, Aapo Nummenmaa, Jonathan R. Polimeni, Wen Jui Kuo, Jen Chuen Hsieh, Bruce R. Rosen, John W. Belliveau

^*Corresponding author for this work

Physical Medicine and Rehabilitation

Research output: Contribution to journal › Article › peer-review

31 Scopus citations

Abstract

Neuronal activation sequence information is essential for understanding brain functions. Extracting such timing information from blood oxygenation level dependent (BOLD) fMRI is confounded by interregional neurovascular differences and poorly understood relations between BOLD and electrophysiological response delays. Here, we recorded whole-head BOLD fMRI at 100. ms resolution and magnetoencephalography (MEG) during a visuomotor reaction-time task. Both methods detected the same activation sequence across five regions, from visual towards motor cortices, with linearly correlated interregional BOLD and MEG response delays. The smallest significant interregional BOLD delay was 100. ms; all delays ≥. 400. ms were significant. Switching the order of external events reversed the sequence of BOLD activations, indicating that interregional neurovascular differences did not confound the results. This may open new avenues for using fMRI to follow rapid activation sequences in the brain.

Original language	English (US)
Pages (from-to)	372-384
Number of pages	13
Journal	Neuroimage
Volume	78
DOIs	https://doi.org/10.1016/j.neuroimage.2013.04.017
State	Published - Sep 2013

Funding

We are grateful for access to the MEG imaging resources at the Veteran General Hospital, Taipei, Taiwan, and the MRI resources at the National Yang-Ming University and National Taiwan University Hospital, Taipei, Taiwan. We also thank Academician Riitta Hari for comments, Chih-Che Chou and Yen-Hsiang Wang for technical support, and Nichole Eusemann for language editing. This work was supported by grants from the United States National Institutes of Health (NIH) ( R01HD040712 , R01NS037462 , R01NS048279 , P41RR014075 , R01MH083744 , R21DC010060 , R21EB007298 ), National Center for Research Resources , National Science Council, Taiwan ( NSC 101-2628-B-002-005-MY3 , NSC 100-2325-B-002-046 ), National Health Research Institute, Taiwan ( NHRI-EX102-10247EI ), and Academy of Finland ( 127624 and the FiDiPro program ).

Keywords

BOLD
Hemodynamics
Inverse imaging
Latency
Neuronal timing
Neurovascular coupling

ASJC Scopus subject areas

Neurology
Cognitive Neuroscience

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10.1016/j.neuroimage.2013.04.017

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@article{735378282a544f28954a7da2c1b20998,

title = "FMRI hemodynamics accurately reflects neuronal timing in the human brain measured by MEG",

abstract = "Neuronal activation sequence information is essential for understanding brain functions. Extracting such timing information from blood oxygenation level dependent (BOLD) fMRI is confounded by interregional neurovascular differences and poorly understood relations between BOLD and electrophysiological response delays. Here, we recorded whole-head BOLD fMRI at 100. ms resolution and magnetoencephalography (MEG) during a visuomotor reaction-time task. Both methods detected the same activation sequence across five regions, from visual towards motor cortices, with linearly correlated interregional BOLD and MEG response delays. The smallest significant interregional BOLD delay was 100. ms; all delays ≥. 400. ms were significant. Switching the order of external events reversed the sequence of BOLD activations, indicating that interregional neurovascular differences did not confound the results. This may open new avenues for using fMRI to follow rapid activation sequences in the brain.",

keywords = "BOLD, Hemodynamics, Inverse imaging, Latency, Neuronal timing, Neurovascular coupling",

author = "Lin, {Fa Hsuan} and Thomas Witzel and Tommi Raij and Jyrki Ahveninen and {Wen-Kai Tsai}, Kevin and Chu, {Yin Hua} and Chang, {Wei Tang} and Aapo Nummenmaa and Polimeni, {Jonathan R.} and Kuo, {Wen Jui} and Hsieh, {Jen Chuen} and Rosen, {Bruce R.} and Belliveau, {John W.}",

note = "Funding Information: We are grateful for access to the MEG imaging resources at the Veteran General Hospital, Taipei, Taiwan, and the MRI resources at the National Yang-Ming University and National Taiwan University Hospital, Taipei, Taiwan. We also thank Academician Riitta Hari for comments, Chih-Che Chou and Yen-Hsiang Wang for technical support, and Nichole Eusemann for language editing. This work was supported by grants from the United States National Institutes of Health (NIH) ( R01HD040712 , R01NS037462 , R01NS048279 , P41RR014075 , R01MH083744 , R21DC010060 , R21EB007298 ), National Center for Research Resources , National Science Council, Taiwan ( NSC 101-2628-B-002-005-MY3 , NSC 100-2325-B-002-046 ), National Health Research Institute, Taiwan ( NHRI-EX102-10247EI ), and Academy of Finland ( 127624 and the FiDiPro program ). ",

year = "2013",

month = sep,

doi = "10.1016/j.neuroimage.2013.04.017",

language = "English (US)",

volume = "78",

pages = "372--384",

journal = "Neuroimage",

issn = "1053-8119",

publisher = "Academic Press Inc.",

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T1 - FMRI hemodynamics accurately reflects neuronal timing in the human brain measured by MEG

AU - Lin, Fa Hsuan

AU - Witzel, Thomas

AU - Raij, Tommi

AU - Ahveninen, Jyrki

AU - Wen-Kai Tsai, Kevin

AU - Chu, Yin Hua

AU - Chang, Wei Tang

AU - Nummenmaa, Aapo

AU - Polimeni, Jonathan R.

AU - Kuo, Wen Jui

AU - Hsieh, Jen Chuen

AU - Rosen, Bruce R.

AU - Belliveau, John W.

N1 - Funding Information: We are grateful for access to the MEG imaging resources at the Veteran General Hospital, Taipei, Taiwan, and the MRI resources at the National Yang-Ming University and National Taiwan University Hospital, Taipei, Taiwan. We also thank Academician Riitta Hari for comments, Chih-Che Chou and Yen-Hsiang Wang for technical support, and Nichole Eusemann for language editing. This work was supported by grants from the United States National Institutes of Health (NIH) ( R01HD040712 , R01NS037462 , R01NS048279 , P41RR014075 , R01MH083744 , R21DC010060 , R21EB007298 ), National Center for Research Resources , National Science Council, Taiwan ( NSC 101-2628-B-002-005-MY3 , NSC 100-2325-B-002-046 ), National Health Research Institute, Taiwan ( NHRI-EX102-10247EI ), and Academy of Finland ( 127624 and the FiDiPro program ).

PY - 2013/9

Y1 - 2013/9

N2 - Neuronal activation sequence information is essential for understanding brain functions. Extracting such timing information from blood oxygenation level dependent (BOLD) fMRI is confounded by interregional neurovascular differences and poorly understood relations between BOLD and electrophysiological response delays. Here, we recorded whole-head BOLD fMRI at 100. ms resolution and magnetoencephalography (MEG) during a visuomotor reaction-time task. Both methods detected the same activation sequence across five regions, from visual towards motor cortices, with linearly correlated interregional BOLD and MEG response delays. The smallest significant interregional BOLD delay was 100. ms; all delays ≥. 400. ms were significant. Switching the order of external events reversed the sequence of BOLD activations, indicating that interregional neurovascular differences did not confound the results. This may open new avenues for using fMRI to follow rapid activation sequences in the brain.

AB - Neuronal activation sequence information is essential for understanding brain functions. Extracting such timing information from blood oxygenation level dependent (BOLD) fMRI is confounded by interregional neurovascular differences and poorly understood relations between BOLD and electrophysiological response delays. Here, we recorded whole-head BOLD fMRI at 100. ms resolution and magnetoencephalography (MEG) during a visuomotor reaction-time task. Both methods detected the same activation sequence across five regions, from visual towards motor cortices, with linearly correlated interregional BOLD and MEG response delays. The smallest significant interregional BOLD delay was 100. ms; all delays ≥. 400. ms were significant. Switching the order of external events reversed the sequence of BOLD activations, indicating that interregional neurovascular differences did not confound the results. This may open new avenues for using fMRI to follow rapid activation sequences in the brain.

KW - BOLD

KW - Hemodynamics

KW - Inverse imaging

KW - Latency

KW - Neuronal timing

KW - Neurovascular coupling

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U2 - 10.1016/j.neuroimage.2013.04.017

DO - 10.1016/j.neuroimage.2013.04.017

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AN - SCOPUS:84877351953

SN - 1053-8119

VL - 78

SP - 372

EP - 384

JO - Neuroimage

JF - Neuroimage

ER -

FMRI hemodynamics accurately reflects neuronal timing in the human brain measured by MEG

Abstract

Funding

Keywords

ASJC Scopus subject areas

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