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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 Stimulation (TMS).

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Related Experiment Video

Updated: May 14, 2026

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

A neurodevelopmental basis for BECTS: evidence from structural MRI.

Heath R Pardoe¹, Anne T Berg, John S Archer

¹Florey Institute of Neuroscience and Mental Health, Melbourne, Australia.

Epilepsy Research

|February 5, 2013

Summary

This summary is machine-generated.

Benign epilepsy with centro-temporal spikes (BECTS) shows increased gray matter volume and cortical thickness, particularly in frontal regions. These brain differences diminish with age, aligning with the disorder's natural course.

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Last Updated: May 14, 2026

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

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Published on: November 13, 2016

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Published on: June 13, 2025

Area of Science:

Neuroimaging
Epilepsy Research
Developmental Neuroscience

Background:

Benign epilepsy with centro-temporal spikes (BECTS) is a common childhood epilepsy syndrome.
Understanding the neuroanatomical basis of BECTS is crucial for insights into its development and potential cognitive impacts.

Purpose of the Study:

To investigate quantitative evidence of brain morphological variations in individuals with BECTS.
To explore the relationship between these morphological changes and age.

Main Methods:

Utilized T1-weighted MRI scans from three independent BECTS groups at different disease stages and age-matched controls.
Performed voxel-based morphometry and cortical thickness analyses.
Examined the association between cortical morphology and age.

Main Results:

Found increased bilateral gray matter volume in the superior frontal gyrus, insula, and right inferior frontal gyrus in BECTS patients.
Observed thicker cortex in frontal and supramarginal gyri, which normalized with age.
Detected accelerated rates of cortical thickness changes with age in BECTS cases compared to controls.

Conclusions:

BECTS is associated with increased cortical gray matter.
The age-related decrease in these morphological differences parallels the natural history of BECTS.
Affected brain regions suggest a link to neurocognitive dysfunction in BECTS.