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

Research output: Contribution to journalArticleScientificpeer-review

Researchers

  • 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

Research units

  • Harvard University
  • National Yang-Ming University
  • National Taiwan University

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. (C) 2013 Elsevier Inc. All rights reserved.

Details

Original languageEnglish
Pages (from-to)372-384
Number of pages13
JournalNeuroImage
Volume78
Publication statusPublished - Sep 2013
MoE publication typeA1 Journal article-refereed

    Research areas

  • Neurovascular coupling, Hemodynamics, Neuronal timing, Inverse imaging, Latency, BOLD, TIME-RESOLVED FMRI, SURFACE-BASED ANALYSIS, EVENT-RELATED FMRI, FUNCTIONAL MRI, VISUAL-CORTEX, CORTICAL SURFACE, SENSORY STIMULATION, COORDINATE SYSTEM, MENTAL ROTATION, SIGNALS

ID: 9682553