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Related Concept Videos

Epilepsy and Seizures: Overview01:24

Epilepsy and Seizures: Overview

Epilepsy is a chronic neurological disease marked by recurrent, unpredictable seizures. These seizures are caused by abnormal electrical discharges in the brain, leading to behavior, sensation, or consciousness alterations. They can also cause transient impairment of awareness, interfering with daily activities.
Various factors can trigger epilepsy, including genetic factors, brain damage, metabolic causes, and unknown etiology. Diagnosis of epilepsy involves electroencephalography (EEG), which...
Brain Imaging01:14

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 Stimulation (TMS).

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Related Experiment Video

Updated: May 31, 2026

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
08:23

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

Published on: November 13, 2016

Tracking cognitive changes in new-onset epilepsy: functional imaging challenges.

Ryan C N D'Arcy1, Jodie R Gawryluk, Steven D Beyea

  • 1Institute for Biodiagnostics, Atlantic, National Research Council, Canada Department of Radiology, Dalhousie University, Halifax, Nova Scotia, Canada. Ryan.D’Arcy@nrc-cnrc.gc.ca

Epilepsia
|July 8, 2011
PubMed
Summary
This summary is machine-generated.

Functional imaging can track cognitive changes in new-onset epilepsy. This study highlights challenges and solutions for using functional magnetic resonance imaging (fMRI) and event-related potentials (ERPs) in epilepsy research.

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Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
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Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

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A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
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Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

Area of Science:

  • Neuroimaging
  • Cognitive Neuroscience
  • Epilepsy Research

Background:

  • Epilepsy diagnosis and management can benefit from tracking cognitive changes over time.
  • Functional imaging techniques like fMRI and ERPs offer potential for monitoring these changes.
  • Feasibility of longitudinal cognitive monitoring in new-onset epilepsy requires investigation.

Observation:

  • A case study utilized functional magnetic resonance imaging (fMRI) and event-related potentials (ERPs) to track memory changes before and after temporal lobe resection in an epilepsy patient.
  • This case highlighted three key methodological challenges in applying neuroimaging to new-onset epilepsy.

Findings:

  • Interpreting imaging results near epileptogenic zones requires multimodal data for convergent evidence.
  • Optimizing imaging methods, such as enhanced techniques and region-of-interest analysis, is crucial for detecting subtle cognitive changes.
  • Practical challenges in conducting research with new-onset epilepsy patients necessitate better integration of research within clinical settings.

Implications:

  • Addressing these methodological challenges is vital for advancing the use of functional imaging in understanding epilepsy progression.
  • Multimodal imaging and tailored analytical approaches can improve the sensitivity and reliability of cognitive monitoring in epilepsy.
  • Integrating research into clinical workflows will facilitate the study of epilepsy evolution and improve patient care.