Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Deep brain stimulation for the treatment of patients with dystonia: advances towards network-based personalised care.

The Lancet. Neurology·2026
Same author

Repeat Ipsilateral Focused Ultrasound Thalamotomy after Tremor Recurrence: Safety, Efficacy, and Lesion Analysis.

Movement disorders : official journal of the Movement Disorder Society·2026
Same author

Neuroimaging Correlates of Post-Stroke Pain After Ischemic Stroke: Secondary Analysis of the INSPiRE-TMS Trial.

Human brain mapping·2026
Same author

Abnormal motor control effort costs in Parkinson's disease patients with apathy.

Journal of Parkinson's disease·2026
Same author

Human hippocampal ripples tune cortical responses based on predicted uncertainty.

Nature neuroscience·2026
Same author

A prognostic human brain network for diffuse midline glioma.

Nature·2026

Related Experiment Video

Updated: Dec 10, 2025

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.7K

Normative vs. patient-specific brain connectivity in deep brain stimulation.

Qiang Wang1, Harith Akram2, Muthuraman Muthuraman3

  • 1Movement Disorders & Neuromodulation Unit, Department for Neurology, Charité - University Medicine Berlin, Germany.

Neuroimage
|August 31, 2020
PubMed
Summary

Brain connectivity profiles from deep brain stimulation (DBS) predict Parkinson's disease improvement. Patient-specific and normative connectomes show similar predictive power, with patient data potentially explaining more variance.

Keywords:
Deep brain stimulationHuman connectomeParkinson's diseaseSubthalamic nucleusTractography

More Related Videos

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

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

Published on: August 12, 2018

9.2K
Deep Brain Stimulation with Simultaneous fMRI in Rodents
11:09

Deep Brain Stimulation with Simultaneous fMRI in Rodents

Published on: February 15, 2014

14.4K

Related Experiment Videos

Last Updated: Dec 10, 2025

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.7K
Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

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

Published on: August 12, 2018

9.2K
Deep Brain Stimulation with Simultaneous fMRI in Rodents
11:09

Deep Brain Stimulation with Simultaneous fMRI in Rodents

Published on: February 15, 2014

14.4K

Area of Science:

  • Neuroscience
  • Medical Imaging
  • Neuromodulation

Background:

  • Deep brain stimulation (DBS) electrode connectivity profiles help predict patient outcomes.
  • Patient-specific diffusion-weighted imaging (DWI) data is often limited, leading to the use of normative connectome atlases.
  • The comparative accuracy of patient-specific versus normative connectivity data for predicting DBS outcomes remains unclear.

Purpose of the Study:

  • To compare patient-specific, disease-matched, and normative structural connectivity data in predicting clinical improvement in Parkinson's Disease (PD) patients undergoing DBS.
  • To assess the accuracy of different connectivity modalities in predicting therapeutic response to DBS.
  • To investigate the potential of patient-specific connectivity to explain more outcome variance compared to group connectomes.

Main Methods:

  • Retrospective analysis of data from 33 PD patients undergoing DBS surgery across three centers.
  • Estimation of stimulation-dependent connectivity profiles using patient-specific DWI, age/disease-matched group connectomes, and normative connectomes from healthy subjects.
  • Calculation of optimal whole-brain connectivity models to predict out-of-sample clinical improvement.

Main Results:

  • All three connectivity modalities (patient-specific, matched group, normative) yielded highly similar optimal connectivity profiles.
  • Significant predictions of clinical improvement were achieved using patient-specific connectivity (R=0.43, p=0.001), matched group (R=0.25, p=0.048), and normative connectomes (R=0.31, p=0.028).
  • Patient-specific connectivity showed a trend towards explaining slightly more outcome variance than group connectomes, though not statistically significant.

Conclusions:

  • DBS electrode connectivity profiles are a promising method for investigating DBS effects and guiding programming.
  • Both patient-specific and normative connectomes provide valuable insights into brain areas associated with clinical improvement.
  • While normative connectomes are useful, patient-specific data may offer enhanced predictive accuracy for DBS outcomes.