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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
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A pulse is a short burst of radio waves distributed over a range of frequencies that simultaneously excites all the nuclei in the sample. Upon passing a radio frequency pulse along the x-axis, the nuclei absorb energy corresponding to their Larmor frequencies and achieve resonance. This shifts the net magnetization vector from the z-axis toward the transverse plane. This angle of rotation of the magnetization vector, or the flip angle, is proportional to the duration and intensity of the pulse.
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Updated: Dec 16, 2025

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Functional magnetic resonance imaging signal has sub-second temporal accuracy.

Yi-Tien Li1,2,3, Hsin-Ju Lee4,5, Fa-Hsuan Lin4,5,6

  • 1Translational Imaging Research Center, Taipei Medical University Hospital, Taipei, Taiwan.

Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism
|September 5, 2024
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Summary

Accurate brain activity mapping using functional magnetic resonance imaging (fMRI) is now possible. This study calibrated fMRI signals for cerebral vascular reactivity (CVR), revealing precise neuronal activation sequences in milliseconds.

Keywords:
breath-holding taskcerebral vascular reactivitychronometryfMRI timingneuronal latency

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Area of Science:

  • Neuroimaging
  • Cognitive Neuroscience
  • Physiology

Background:

  • Understanding brain function requires mapping neuronal activation sequences.
  • Blood-oxygen-level-dependent functional magnetic resonance imaging (fMRI) signal timing is often distorted by local cerebral vascular reactivity (CVR).
  • CVR variations can bias the detection of neuronal synchrony and causal inference from fMRI data.

Purpose of the Study:

  • To investigate the feasibility of accurately mapping brain activity timing using fMRI.
  • To calibrate fMRI signals for CVR to improve temporal resolution.
  • To identify sequential neuronal activation patterns in a visuomotor task.

Main Methods:

  • Utilized fast fMRI (10 Hz) to measure signal latency differences between visual and sensorimotor areas during a visuomotor task.
  • Calibrated regional fMRI timing by subtracting CVR latency, measured via a breath-holding task.
  • Analyzed inter-regional fMRI timing differences in relation to reaction times.

Main Results:

  • After CVR calibration, the lateral geniculate nucleus (LGN) fMRI signal preceded the visual cortex signal by 496 ms.
  • The sensorimotor cortex signal followed the visual cortex signal with a latency of 464 ms.
  • Consistent sequential activation (LGN, visual, sensorimotor cortex) was observed across participants, correlating with reaction times.

Conclusions:

  • CVR calibration enhances the accuracy of fMRI-based neuronal timing measurements.
  • This method enables mapping brain activity with millisecond precision.
  • The findings support the use of calibrated fMRI for precise temporal analysis of brain function.