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Related Concept Videos

Brain Imaging01:14

Brain Imaging

269
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...
269

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Related Experiment Video

Updated: Jul 30, 2025

Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging
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UWB-Modulated Microwave Imaging for Human Brain Functional Monitoring.

Youness Akazzim1,2, Marc Jofre1,3, Otman El Mrabet2

  • 1School of Telecommunication Engineering, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain.

Sensors (Basel, Switzerland)
|May 13, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a new microwave imaging technique to detect biological activity signals, specifically action potentials, within the brain using a microtag. The method achieves 10 mm spatial resolution for improved medical diagnostics.

Keywords:
Parkinson’s diseaseUWB microwave imagingUWB microwave modulationaction potentialfunctional imagingmicrotag

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Area of Science:

  • Biomedical Engineering
  • Microwave Imaging
  • Neuroscience

Background:

  • Morphological microwave imaging reconstructs biological structures but not activity.
  • Detecting biological activity like action potentials is crucial for understanding neurological conditions.

Purpose of the Study:

  • To propose and validate a novel microwave technique for locating low-frequency modulated signals mimicking action potentials.
  • To demonstrate the technique's feasibility in a brain phantom model.

Main Methods:

  • Utilized combined UWB microwave applicators (0.5-2.5 GHz) to focus fields on a microtag.
  • Modulated the microwave field with a low-frequency (1 kHz) signal from a photodiode, inducing currents in the microtag.
  • Extracted and spatially represented the backscattered modulated signal to create an image.

Main Results:

  • Successfully located low-frequency modulated signals produced by a microtag mimicking action potentials.
  • Achieved a spatial resolution of approximately 10 mm in a cylindrical brain phantom.
  • Demonstrated the ability to extract and map the modulated signal within the region of interest.

Conclusions:

  • The proposed microwave technique can detect and localize biological activity signals, such as action potentials.
  • This method offers a potential new tool for in-vivo monitoring of neural activity.
  • The technique shows promise for advancing diagnostic capabilities in neuroscience and medicine.