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Related Concept Videos

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 16, 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

Multimodal imaging and image analysis techniques for neuromodulation.

M Mallar Chakravarty1

  • 1Kimel Family Translational Imaging Genetics Laboratory, Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada. mallar_chakravarty@camh.net

International Review of Neurobiology
|December 5, 2012
PubMed
Summary
This summary is machine-generated.

New automated techniques improve precision for functional neurosurgery targeting subcortical structures in Parkinson's disease. These methods utilize advanced neuroimaging and surgical data for accurate localization, enhancing treatment outcomes.

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Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Computational Neuroscience

Background:

  • Traditional functional neurosurgery for Parkinson's disease relies on manual, semi-qualitative methods for targeting subcortical structures.
  • These methods often involve correlating volumetric imaging with anatomical atlases, leading to potential inaccuracies.

Purpose of the Study:

  • To review novel, high-precision, and high-accuracy automated techniques for subcortical target localization in functional neurosurgery.
  • To highlight advancements in neuroimaging and data integration for improved surgical planning and execution.

Main Methods:

  • Development of a priori neuroanatomical atlases from magnetic resonance imaging (MRI) data.
  • High-resolution identification of subcortical structures using histology.
  • Integration of spatially localized databases of intraoperative recordings and surgical outcomes.
  • Utilization of novel structural and functional MRI techniques for direct visualization of thalamic sub-nuclei.

Main Results:

  • Automated techniques offer full localization of surgical targets with enhanced precision and accuracy.
  • Integration of diverse datasets (MRI, histology, intraoperative data) enables more robust target identification.
  • Advanced MRI techniques allow direct visualization of critical subcortical nuclei.

Conclusions:

  • Automated, data-driven approaches represent a significant advancement over traditional manual methods in functional neurosurgery.
  • These novel techniques promise to improve the safety and efficacy of surgical treatments for Parkinson's disease motor symptoms.
  • Further development and application of these methods can refine the targeting of subcortical structures for various neurological disorders.