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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: Dec 19, 2025

Deep Brain Stimulation with Simultaneous fMRI in Rodents

Deep Brain Stimulation with Simultaneous fMRI in Rodents

Published on: February 15, 2014

Deep brain stimulation: Imaging on a group level.

Svenja Treu¹, Bryan Strange², Simon Oxenford³

¹Laboratory for Clinical Neuroscience, Centre for Biomedical Technology, Universidad Politécnica de Madrid, Spain; Movement Disorders & Neuromodulation Unit, Department for Neurology, Charité - University Medicine Berlin, Germany.

|June 8, 2020

Summary

Lead Group software enhances Deep Brain Stimulation (DBS) by standardizing electrode placement analysis across centers. This tool identifies optimal targets in the subthalamic nucleus for improved movement disorder treatment.

Keywords:

Deep brain stimulation Group analysis Imaging Subthalamic nucleus

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Last Updated: Dec 19, 2025

Deep Brain Stimulation with Simultaneous fMRI in Rodents

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Published on: February 15, 2014

In vivo Positron Emission Tomography to Reveal Activity Patterns Induced by Deep Brain Stimulation in Rats

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Published on: March 23, 2022

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

Area of Science:

Neuroscience
Medical Technology
Computational Biology

Background:

Deep Brain Stimulation (DBS) efficacy is highly dependent on precise electrode placement.
Standardized methods are needed to compare DBS electrode locations and outcomes across patients and research centers.
Existing neuroscientific tools require enhancement for group-level analysis and target validation.

Purpose of the Study:

Introduce Lead Group, a novel software tool within the Lead-DBS environment.
Enable standardized, anatomically comparable analysis of DBS electrode placement in a group setting.
Facilitate validation and definition of optimal DBS targets through statistical analysis.

Main Methods:

Utilized Lead Group software on a retrospective cohort of 51 Parkinson's disease patients undergoing subthalamic nucleus (STN) DBS.
Visualized electrode placements and mapped clinical improvement using active coordinates and volumes of tissue activated.
Analyzed stimulation volume overlap with the STN and explored connectomic mapping functionalities.

Main Results:

Demonstrated converging evidence for an optimal DBS target in the dorsolateral STN.
Related DBS outcomes to the impact of electrode placement on local STN structures.
Showcased software capabilities for connectomic analysis linking DBS outcomes to remote brain connectivity.

Conclusions:

Lead Group provides a standardized, open-source platform for group-level DBS electrode analysis.
The software facilitates the identification of optimal DBS targets and enhances understanding of stimulation effects.
Openly available data and code ensure reproducibility and foster collaborative research in DBS.