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Record W2129132131 · doi:10.5455/bcp.20110904010344

The Neurosurgical Treatment of Depression: Can it Supersede Psychopharmacology?

2011· article· en· W2129132131 on OpenAlexaff
Cameron Elliott, Maryana Duchcherer, Tejas Sankar, Glen B. Baker, Serdar Dursun

Bibliographic record

VenueKlinik Psikofarmakoloji Bülteni-Bulletin of Clinical Psychopharmacology · 2011
Typearticle
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsUniversity of TorontoUniversity of Alberta
Fundersnot available
KeywordsPsychopharmacologyDepression (economics)MedicinePsychiatryPsychology

Abstract

fetched live from OpenAlex

Psychosurgery has a controversial history in the treatment of psychiatric disorders, but in recent years there has been mounting evidence for the potential of chronic electrical deep brain stimulation (DBS) of several neuroanatomical targets in managing treatment-resistant depression (TRD), a debilitating mental illness with limited therapeutic options. Achieving optimal clinical outcome with DBS involves characterizing the heterogeneous neuronal circuits responsible for the variable clinical course of depression and selecting nodes within these circuits for stimulation. A number of exciting preliminary studies have used DBS in several discrete brain areas to treat patients with depression. Despite ongoing controversies about the mechanisms responsible for the therapeutic effects of DBS, the clinical results to date show strong promise for this technique as a feasible treatment choice in TRD. The full therapeutic potential of DBS in psychiatric practice will be revealed as future clinical studies focus on careful ethical approaches and the use of long-term placebo controlled comparisons. Nöroşirürjikal depresyon tedavisi: Psikofarmakolojinin yerini alabilir mi? Psikiyatrik hastalıkların tedavisinde psikocerrahi’nin tartışmalı bir geçmişi vardır. Fakat son yıllarda tedavi seçenekleri sınırlı olan dirençli depresyonun (DD) yönetiminde, bazı nöroanotomik hedeflerin kronik derin beyin uyarımı (DBU) ile uyarılma potansiyelini destekleyen deliller mevcuttur. DBU ile ideal klinik sonuca ulaşmak, depresyonun değişken klinik sürecinden sorumlu heterojen sinir döngülerini belirlemeyi ve bu döngülerin içinde uyarılacak düğümleri seçmeyi içerir. Bir dizi heyecan verici ön çalışma DBU’ını depresyonlu hastaların tedavisinde bir kaç farklı beyin bölgesinde kullanmıştır. DBU’nın terapotik etkilerinden sorumlu mekanizmaları hakkında süregiden tartışmalara rağmen, bugüne kadarki klinik sonuçlar bu tekniği DD’da uygun bir tedavi seçeneği olarak güçlü bir şekilde işaret etmektedir. DBU’nın psikiyatri’deki tam terapotik potensiyeli dikkatli etik yaklaşımlar ve uzun dönem plasebo kontrollü karşılaştırmalara odaklanmış gelecek klinik çalışmalarla açıklanacaktır.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.101
GPT teacher head0.423
Teacher spread0.322 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations1
Published2011
Admission routes1
Has abstractyes

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