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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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Related Experiment Video

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Real-Time fMRI Brain Mapping in Animals
04:05

Real-Time fMRI Brain Mapping in Animals

Published on: September 24, 2020

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Real-Time fMRI Brain Mapping in Animals.

Sangcheon Choi1, Kengo Takahashi1, Yuanyuan Jiang2

  • 1Max Planck Institute for Biological Cybernetics; Graduate Training Centre of Neuroscience.

Journal of Visualized Experiments : Jove
|October 12, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a real-time functional MRI (fMRI) platform for instant monitoring of animal brain activity. This tool helps researchers optimize physiological conditions for consistent fMRI signal acquisition in preclinical studies.

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Last Updated: Dec 6, 2025

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Published on: September 24, 2020

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Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging
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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Functional magnetic resonance imaging (fMRI) signals in animal models exhibit significant variability due to physiological states like anesthesia or wakefulness.
  • Understanding and controlling these physiological factors are crucial for reliable fMRI data acquisition in preclinical research.

Purpose of the Study:

  • To develop and validate a real-time fMRI platform for instantaneous monitoring and dynamic adjustment of physiological conditions during fMRI acquisition in animal models.
  • To enable real-time control over hemodynamic responses and improve the consistency of fMRI signals in preclinical brain studies.

Main Methods:

  • Implementation of a real-time fMRI system integrated with a 14.1T preclinical MRI scanner.
  • Real-time mapping of fMRI responses in the primary forepaw somatosensory cortex (FP-S1) of anesthetized rats.
  • Utilization of customized macro-functions and neuroimage analysis software within the MRI system for immediate data processing.

Main Results:

  • Demonstration of real-time monitoring of dynamic fMRI responses in the rat FP-S1.
  • Successful identification of dynamic fMRI responses and immediate troubleshooting of signal variability.
  • Establishment of a real-time biofeedback stimulation paradigm for enhanced brain functional studies.

Conclusions:

  • The developed real-time fMRI platform offers an effective strategy to overcome signal variability issues in animal fMRI studies.
  • This technology facilitates immediate intervention and optimization of physiological parameters, leading to more robust and reproducible brain functional data.
  • The platform supports advanced real-time biofeedback paradigms for in-depth investigation of animal brain functions.