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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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Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

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Published on: August 12, 2018

Computational Modeling and Neuroimaging Techniques for Targeting during Deep Brain Stimulation.

Jennifer A Sweet¹, Jonathan Pace¹, Fady Girgis¹

¹Department of Neurosurgery, University Hospitals Case Medical Center, Case Western Reserve University Cleveland, OH, USA.

Frontiers in Neuroanatomy

|July 23, 2016

Summary

This summary is machine-generated.

Deep brain stimulation (DBS) targeting is evolving for precise electrode placement. Advancements in techniques aim to improve clinical outcomes by activating specific neural networks for neurological and psychiatric disorders.

Keywords:

computational modeling deep brain stimulation neuroimaging targeting tractography

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Last Updated: Mar 17, 2026

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

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Published on: August 12, 2018

Deep Brain Stimulation with Simultaneous fMRI in Rodents

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Analysis of Gene Expression Changes in the Rat Hippocampus After Deep Brain Stimulation of the Anterior Thalamic Nucleus

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Published on: March 8, 2015

Area of Science:

Neurosurgery
Neurology
Biomedical Engineering

Background:

Deep brain stimulation (DBS) relies on precise surgical targeting of brain structures.
Current DBS techniques are advancing for greater accuracy in electrode placement.
Clinical effects of DBS are increasingly linked to the activation of widespread neuronal networks.

Purpose of the Study:

To review advancements in surgical targeting, computational modeling, and neuroimaging for DBS.
To discuss the importance of precise target localization in DBS.
To explore how improved targeting can enhance understanding of disease pathophysiology and enable new therapeutic approaches.

Main Methods:

Review of current literature on surgical targeting techniques for DBS.
Discussion of the role of computational modeling in understanding DBS effects.
Exploration of novel neuroimaging techniques for improved localization and network analysis.

Main Results:

Surgical targeting for DBS is continuously evolving with sophisticated techniques.
Clinical outcomes of DBS are influenced by the activation of extensive neuronal networks.
Selective activation of specific fiber tracts shows potential for improved patient-specific outcomes.

Conclusions:

Advancements in surgical targeting, computational modeling, and neuroimaging are critical for DBS.
Improved understanding of disease pathophysiology through these advancements can lead to better target localization.
Focused stimulation strategies may unlock new therapeutic targets for a broader range of disorders.