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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: Jun 28, 2026

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
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Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation

Published on: July 16, 2014

Imaging-based versus threshold assessment-based deep brain stimulation programming in Parkinson's disease: study

Annabel van der Weide1, Yarit Wiggerts2, Martijn Beudel3

  • 1Department of Neurology, Amsterdam University Medical Centers, Amsterdam, Netherlands. a.vanderweide@amsterdamumc.nl.

Trials
|June 26, 2026
PubMed
Summary

This study compares imaging-based deep brain stimulation (DBS) programming to standard methods for Parkinson's disease, aiming for faster, more effective motor symptom treatment.

Keywords:
Deep brain stimulationImagingParkinson’s diseaseProgrammingRandomized controlled trial

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Published on: May 31, 2016

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Last Updated: Jun 28, 2026

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
11:12

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Published on: July 16, 2014

A Novel Approach to Assess Motor Outcome of Deep Brain Stimulation Effects in the Hemiparkinsonian Rat: Staircase and Cylinder Test
07:14

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Published on: May 31, 2016

Area of Science:

  • Neurosurgery
  • Neurology
  • Medical Imaging

Background:

  • Subthalamic nucleus deep brain stimulation (STN-DBS) is effective for Parkinson's disease motor fluctuations.
  • Optimal programming is crucial for maximizing benefits and minimizing side effects.
  • Current monopolar review (MPR) programming is complex and time-consuming due to anatomical variability.

Purpose of the Study:

  • To determine if imaging-based contact selection is non-inferior to standard MPR for Parkinson's disease motor symptoms.
  • To evaluate the efficiency, speed, and stability of imaging-based DBS programming.

Main Methods:

  • A prospective, randomized, open-label trial (PROBE) with 132 Parkinson's disease patients.
  • Patients randomized to imaging-based (using 7T MRI and CT) or MPR programming.
  • Primary outcome: MDS-UPDRS Part III change at 6 months (off-drug).

Main Results:

  • The trial is ongoing and results are pending.
  • The primary outcome measure is the change in MDS-UPDRS Part III score.

Conclusions:

  • The trial will assess if imaging-based DBS programming achieves comparable motor improvements to MPR.
  • Hypothesis: Imaging-based selection may offer faster optimization and fewer adjustments.
  • Potential for a superior approach to STN-DBS programming.