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Record W4413452987 · doi:10.1016/j.brs.2025.08.017

Revisiting subcallosal cingulate deep brain stimulation for depression: Long-term safety and effectiveness outcomes from a pooled analysis of 172 implanted patients

2025· article· en· W4413452987 on OpenAlexaff
Lyndahl Himes, Helen S. Mayberg, Mustafa M. Husain, Paul E. Holtzheimer, Andrés M. Lozano, Sidney H. Kennedy, Robert E. Gross, Brian H. Kopell, Martijn Figee, Konstantin V. Slavin, Julie G. Pilitsis, Joseph S. Neimat, Clement Hamani, Nader Pouratian, Peter Giacobbe, Alon Y. Mogilner, Devyani Nanduri, Binith Cheeran, Yagna Pathak, Patricio Riva‐Posse

Bibliographic record

VenueBrain stimulation · 2025
Typearticle
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsSunnybrook Health Science CentreUniversity of Toronto
FundersJanssen PharmaceuticalsAllerganBrainsWaySt. Jude MedicalStrykerBoston Scientific CorporationLivaNovaAbbott Laboratories
KeywordsDeep brain stimulationDepression (economics)Term (time)MedicineBrain stimulationPsychologyPhysical medicine and rehabilitationStimulationInternal medicineEconomics

Abstract

fetched live from OpenAlex

OBJECTIVE: Deep brain stimulation (DBS) of the subcallosal cingulate (SCC) has been investigated clinically for treatment-resistant depression (TRD). Although the initial BROADEN study, a randomized controlled trial, was halted after an interim futility analysis, observation of long-term follow-up (LTFU) data from this and other cohorts demonstrated sustained improvement in depressive symptoms, prompting further investigation of DBS as a therapeutic option. METHODS: Data from 5 studies, including BROADEN, were used to evaluate the long-term safety and effectiveness of SCC DBS for TRD. Effectiveness measures included percent change in HDRS-17 and MADRS, response and partial response rate, and remission rate. Outcomes were assessed through five years post-implant, with primary analyses focused on the first 24 months due to attrition after this point. Sensitivity analyses were performed to evaluate robustness of the results, and adverse events were summarized. RESULTS: 172 subjects were implanted in 5 studies across 5 countries. Average age was 47.9 years, 8.1 years in the current depressive episode, and 88 % had received electroconvulsive therapy (ECT). Effectiveness outcomes were analyzed through 24 months; additional data through five years are available in the supplement. Average MADRS reduction was 43 % at 12 months and 53 % at 24 months post-device activation, with response rates of 46 % and 55 %, and partial response rates of 13.3 % and 15.5 %, respectively. Observed case and sensitivity analyses for both MADRS and HDRS-17 showed a significant reduction in depressive symptoms at each follow-up visit. Safety data from four studies included 151 implanted subjects with 523 patient-years. Incidence of suicide was 0.55 per 100 patient-years. CONCLUSIONS: Active SCC DBS shows continuous and sustained improvement in depressive symptomatology from the first year onward. While several limitations may impact the validity of these findings, SCC DBS has the possibility to provide a safe and durable treatment for TRD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.020
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.023
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.021
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.314
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2025
Admission routes1
Has abstractyes

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