Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

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).

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Cumulative timing-dependent changes in corticospinal excitability during suprathreshold paired-pulse transcranial magnetic stimulation.

Scientific reports·2026

Same author

Mild traumatic brain injury alters function in the dorsolateral prefrontal cortex: a TMS-EEG study.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2026

Same author

Addressing population and neurobiological diversity in TMS-EEG biomarker research.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2026

Same author

Clinical utility and prospective of TMS-EEG: Updated review from an international expert group.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2026

Same author

The golden age of online readout: EEG-informed TMS from manual probing to closed-loop neuromodulation.

NeuroImage·2025

Same author

EEG is better when cleaning effectively targets artifacts.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2025

Same journal

Diurnal Variations and Test-Retest Reliability of Resting-State Functional MRI Metrics.

Human brain mapping·2026

Same journal

Brain Aging in Specific Phobia: An ENIGMA-Anxiety Mega-Analysis.

Human brain mapping·2026

Same journal

Talking to the Brain: Using Large Language Models as Proxies to Model Brain Semantic Features.

Human brain mapping·2026

Same journal

Emotional Context Modulates the Response to Somatosensory Stimuli Within 20 milliseconds.

Human brain mapping·2026

Same journal

GABAergic Modulation of Brain Function During Prosaccade and Antisaccade Eye Movements: Evidence From Ultra-High-Field fMRI.

Human brain mapping·2026

Same journal

Injury Severity Influences Long-Term Cognitive Control in Pediatric "Mild" Traumatic Brain Injury.

Human brain mapping·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 24, 2026

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

Assessing cortical network properties using TMS-EEG.

Nigel C Rogasch¹, Paul B Fitzgerald

¹Monash Alfred Psychiatry Research Centre, The Alfred and Monash University School of Psychology and Psychiatry, Melbourne, Australia.

Human Brain Mapping

|March 2, 2012

Summary

This summary is machine-generated.

Concurrent transcranial magnetic stimulation (TMS) and electroencephalography (EEG) now allow direct assessment of human brain network properties. Advanced techniques minimize TMS artifacts, enabling detailed cortical analysis previously impossible.

More Related Videos

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

Combined Transcranial Magnetic Stimulation and Electroencephalography of the Dorsolateral Prefrontal Cortex

Combined Transcranial Magnetic Stimulation and Electroencephalography of the Dorsolateral Prefrontal Cortex

Published on: August 17, 2018

Related Experiment Videos

Last Updated: May 24, 2026

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 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

Combined Transcranial Magnetic Stimulation and Electroencephalography of the Dorsolateral Prefrontal Cortex

Combined Transcranial Magnetic Stimulation and Electroencephalography of the Dorsolateral Prefrontal Cortex

Published on: August 17, 2018

Area of Science:

Neuroscience
Cognitive Science
Biomedical Engineering

Background:

Concurrent TMS-EEG has advanced significantly over the past decade.
Improvements in hardware, EEG amplification, and data processing have reduced TMS-induced artifacts.
Previously inaccessible cortical regions are now researchable with TMS-EEG.

Purpose of the Study:

To review artifact reduction methods in TMS-EEG.
To explore physiological information within TMS-evoked cortical responses.
To discuss TMS-EEG applications in assessing cortical mechanisms and network properties.

Main Methods:

Investigating online and offline artifact reduction techniques for TMS-EEG.
Analyzing TMS-evoked responses for cortical excitability and connectivity.
Reviewing studies on TMS-EEG for cortical inhibition, neural plasticity, and network states.

Main Results:

TMS-EEG now provides direct measures of cortical excitability and connectivity.
Artifact reduction has enabled exploration of previously inaccessible cortical areas.
TMS-evoked responses offer insights into oscillatory tuning and network dynamics.

Conclusions:

Concurrent TMS-EEG is a powerful tool for directly assessing human cortical network properties.
Advanced artifact reduction techniques have overcome previous limitations.
TMS-EEG facilitates research into diverse cortical mechanisms and functional brain states.