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Related Concept Videos

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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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Related Experiment Video

Updated: Jun 29, 2026

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

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Published on: March 21, 2019

Using FMRI for elucidating dynamic interactions.

Yul-Wan Sung1, Seiji Ogawa

  • 1Laboratories for Sensibility and Welfare Research, Tohoku Fukushi University, Aoba, Sendai, Japan.

Methods in Molecular Biology (Clifton, N.J.)
|October 8, 2008
PubMed
Summary
This summary is machine-generated.

Investigating the human brain

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Last Updated: Jun 29, 2026

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Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Brain Imaging

Background:

  • Understanding the human brain's information processing is crucial.
  • Dynamic characteristics of functional areas and networks are key.
  • Functional MRI (fMRI) has limitations due to slow signal response.

Purpose of the Study:

  • To explore the potential of fMRI in probing rapid neural dynamics.
  • To investigate the time scale of milliseconds in brain activity.
  • To provide evidence for fMRI's capability in visual information processing.

Main Methods:

  • Utilizing functional Magnetic Resonance Imaging (fMRI).
  • Analyzing fMRI signals to infer dynamic neuronal activity.
  • Focusing on visual information processing tasks.

Main Results:

  • Evidence suggests fMRI can detect dynamics at millisecond time scales.
  • Specific aspects of visual processing dynamics are observable.
  • The study demonstrates fMRI's potential beyond its typical temporal resolution.

Conclusions:

  • fMRI may offer insights into rapid brain function.
  • This opens new avenues for studying neural dynamics.
  • The findings are particularly relevant for visual information processing research.