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Brain Imaging

Brain Imaging

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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Human brain imaging with high-density electroencephalography: Techniques and applications.

Marco Marino^1,2, Dante Mantini^1,3

¹Movement Control and Neuroplasticity Research Group, KU Leuven, Belgium.

The Journal of Physiology

|August 22, 2024

Summary

This summary is machine-generated.

High-density electroencephalography (hdEEG) enhances spatial resolution for precise brain activity localization. This neuroimaging tool aids in diagnosing neurological disorders and understanding aging-related conditions.

Keywords:

electroencephalogram neuroimaging neurophysiology

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Cortical Source Analysis of High-Density EEG Recordings in Children

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Published on: June 30, 2014

Area of Science:

Neuroscience
Biomedical Engineering
Medical Imaging

Background:

Electroencephalography (EEG) non-invasively measures brain activity via scalp electrodes.
Traditional EEG analysis focused on amplitude and frequency, lacking spatial precision.
Advancements in digital technology have enabled sophisticated EEG signal analysis.

Purpose of the Study:

To highlight the evolution of EEG into a high-resolution neuroimaging tool.
To discuss the applications of high-density EEG (hdEEG) in research and clinical settings.
To explore the potential of integrating hdEEG with other physiological data.

Main Methods:

Utilizing high-density EEG (hdEEG) systems.
Incorporating head anatomy information.
Employing sophisticated source-localization algorithms.

Main Results:

hdEEG significantly improves spatial resolution compared to traditional EEG.
hdEEG enables accurate and reliable localization of brain activity generators.
Integration with other physiological data offers deeper insights into neuromotor disorders.

Conclusions:

hdEEG has transformed EEG into a powerful neuroimaging tool with broad applications.
hdEEG is valuable for clinical diagnosis, including epilepsy and neurological impairments.
Combining hdEEG with kinematic and electromyography data can elucidate neuromuscular mechanisms in aging and disease.