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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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Related Experiment Video

Updated: Aug 22, 2025

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

Brain Imaging in Epilepsy-Focus on Diffusion-Weighted Imaging.

Tzu-Hsin Huang^1,2, Ming-Chi Lai³, Yu-Shiue Chen¹

¹Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 70142, Taiwan.

Diagnostics (Basel, Switzerland)

|November 11, 2022

Summary

This summary is machine-generated.

Diffusion-weighted imaging (DWI) aids in diagnosing epilepsy and locating seizure foci. This advanced MRI technique helps differentiate seizures and predict prognosis, offering hope for drug-resistant epilepsy patients.

Keywords:

diffusion-weighted imaging epilepsy ictal magnetic resonance imaging seizure tractography

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

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Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings

Published on: June 6, 2015

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Last Updated: Aug 22, 2025

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings

Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings

Published on: June 6, 2015

Area of Science:

Neurology
Radiology
Medical Imaging

Background:

Epilepsy affects 1% globally, presenting diagnostic challenges in differentiating seizures from other neurological disorders.
Drug-resistant epilepsy impacts roughly one-third of patients, highlighting the need for precise epileptogenic focus localization for surgical Curative treatment.
Accurate localization of the epileptogenic zone is crucial for successful epilepsy surgery.

Purpose of the Study:

To review the fundamentals of Diffusion-weighted Imaging (DWI) and its advanced techniques.
To explore the application of DWI in the differential diagnosis of epileptic seizures.
To assess the role of DWI in determining epileptic foci and predicting prognosis.

Main Methods:

Review of Diffusion-weighted Imaging (DWI) principles and associated techniques.
Analysis of qualitative and quantitative diffusion image data (peri-ictal, postictal, interictal).
Inclusion of advanced DWI techniques: Apparent Diffusion Coefficient (ADC), Diffusion Tensor Imaging (DTI), and tractography.

Main Results:

DWI provides insights into tissue microstructure by detecting water molecule diffusion.
Analysis of diffusion images aids in distinguishing epileptic seizures from other conditions.
DWI techniques assist in pinpointing the location of epileptic foci for surgical consideration.

Conclusions:

Diffusion-weighted Imaging (DWI) is a valuable tool in the clinical management of epilepsy.
DWI enhances diagnostic accuracy for seizure differentiation and epileptogenic zone localization.
The application of DWI holds potential for improving treatment strategies and outcomes in epilepsy patients.