• LOGIN
    Login with username and password
Repository logo

BORIS Portal

Bern Open Repository and Information System

  • Publications
  • Theses
  • Research Data
  • Projects
  • Organizations
  • Researchers
  • More
  • Collections
  • Statistics
  • LOGIN
    Login with username and password
Repository logo
Unibern.ch
  1. Home
  2. Publications
  3. Deep brain stimulation for obsessive-compulsive disorder: evolution of tractography-based targeting.
 

Deep brain stimulation for obsessive-compulsive disorder: evolution of tractography-based targeting.

Options
  • Details
  • Files
BORIS DOI
10.48620/92382
Publisher DOI
10.3171/2025.6.JNS243066
PubMed ID
41172368
Description
Objective
Deep brain stimulation (DBS) in the anterior limb of the internal capsule (ALIC) for obsessive-compulsive disorder (OCD) can result in large improvements in symptoms and quality of life. However, without a consistent stimulation target within the anatomically variable ALIC region, the therapy has required long and unpredictable trial-and-error periods of parameter optimization to achieve these clinically meaningful benefits. To facilitate scalability and clinical implementation of ALIC DBS for OCD, this study aimed to demonstrate the evolution of prospective DBS targeting using patient-specific tractography.
Methods
Initially, the authors targeted a white matter map of ALIC bundles and cortical regions previously implied in DBS for OCD. They then generated a map of the ALIC connection shared by 6 participants with OCD who responded to DBS. This common responder map implicated white matter connections to the ventromedial prefrontal/orbitofrontal cortex (vmPFC/OFC), ventrolateral prefrontal cortex (vlPFC), and midbrain. Next, we prospectively targeted a new series of 7 patients guided by this common map. Finally, we generated a tractography-based predictive model based on individual stimulation-response outcomes to estimate the relative importance of each targeted ALIC pathway.
Results
Targeting a sweet spot in the common responder ALIC map that optimally connected the patient-specific vmPFC/OFC, vlPFC, and midbrain led to a consistent and predictable reduction of OCD symptoms, with 8 of 10 patients attaining a clinically meaningful Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) score reduction in symptom severity of at least 35%. Individualized tractography-based targeting improved the primary OCD symptoms independent of hypomania or other changes in mood or anxiety and required minimal parameter changes away from the empirical tractography-based target spot. The tractography-based stimulation model generated a connectivity profile of left and right ALIC pathways that selectively predicted Y-BOCS score reduction and could be used to optimize future targeting further.
Conclusions
The authors' results show how patient-specific tractography can facilitate clinically effective precision targeting in ALIC DBS for OCD.
Date of Publication
2026-02-01
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
Keyword(s)
ALIC
•
DBS
•
OCD
•
anterior limb of the internal capsule tractography
•
common map
•
deep brain stimulation
•
functional neurosurgery
•
obsessive-compulsive disorder
•
targeting
Language(s)
en
Contributor(s)
Segura-Amil, Alba
ARTORG Center for Biomedical Engineering Research
Choi, Ki Sueng
Olson, Sonia
de Bruin, Jip
Song, Ha Neul
Nguyen, T. A. Khoaorcid-logo
ARTORG Center for Biomedical Engineering Research
Clinic of Neurosurgery
Waters, Allison C
Smith, Andrew H
Mayberg, Helen S
Kopell, Brian H
Figee, Martijn
Additional Credits
Clinic of Neurosurgery
ARTORG Center for Biomedical Engineering Research
Series
Journal of neurosurgery
Publisher
American Association of Neurological Surgeons
ISSN
1933-0693
Access(Rights)
restricted
Show full item
BORIS Portal
Bern Open Repository and Information System
Build: dd892c [ 9.04. 8:30]
Explore
  • Projects
  • Funding
  • Publications
  • Research Data
  • Organizations
  • Researchers
  • Audiovisual Material
  • Software & other digital items
  • Events
More
  • About BORIS Portal
  • Send Feedback
  • Cookie settings
  • Service Policy
Follow us on
  • Mastodon
  • YouTube
  • LinkedIn
UniBe logo