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Record W4385548065 · doi:10.26685/urncst.478

Long Term Antidepressant Effects of Deep Brain Stimulation for Treatment Resistant Depression – A Research Protocol

2023· article· en· W4385548065 on OpenAlexaff
Gurleen K. Multani

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsQueen's University
Fundersnot available
KeywordsDeep brain stimulationNeuromodulationTreatment-resistant depressionMajor depressive disorderMedicineDepression (economics)AntidepressantBrain stimulationNeuroimagingAnterior cingulate cortexAdverse effectPsychologyStimulationNeuroscienceInternal medicinePsychiatryMoodHippocampusCognitionParkinson's disease

Abstract

fetched live from OpenAlex

Introduction: Individuals with treatment resistant depression (TRD) are those with severe major depressive disorder who fail to respond to conventional pharmacological treatment. As a result, novel technologies in the field of neuromodulation have been investigated to alleviate depressive symptoms in this population. One such neuromodulation therapy is deep brain stimulation (DBS), in which electrodes are neurosurgically implanted into target regions of the brain associated with depression, such as the subgenual anterior cingulate cortex (sgACC). While previous studies have explored the use of DBS as a therapy for TRD, few studies with adequate statistical power have explored the sustained antidepressant effects of DBS when targeting the sgACC of the brain. Methods: This study aims to explore the long-term effects in DBS patients for TRD by measuring changes in cerebral blood flow and cerebral metabolic rate in the sgACC, and its correlation to changes in self-reported depressive symptoms. Forty-five participants will be enlisted into this study. Psychometric evaluation and positron-emission topography imaging will be conducted prior to neurosurgery. Electrodes will be implanted into the sgACC, with extension wires attaching the electrodes to the internal pulse generator. In the six-week blinded phase, progressive increases in stimulation will be administered within the blinded group and sham stimulation in controls. The three-month open label phase will administer the same degree of high-frequency biphasic stimulation to the control and blinded groups and assess depression scores, neuroimaging, and adverse events. After cessation of active stimulation, a one-year, three-year, seven-year, and ten-year follow-up will monitor changes in antidepressant effects of DBS using simple linear contrasts and paired-sample t-tests. Expected Results: This study expects to find a sustained antidepressant response marked by decreases in sgACC metabolism and cerebral blood flow, and a reduction in self-report depression scores. Discussion: The use of DBS shows promise as a successful treatment intervention with sustained long-term effects for individuals with TRD. Additional secondary outcomes to be expected are improved quality of life and health behaviours. Conclusion: Though minor fluctuations are expected due to the presence of comorbidities, this study expects to showcase the long-term efficacy of deep brain stimulation for treatment resistant depression.

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)0.010
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.030
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.007
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0030.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0300.008

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 head0.099
GPT teacher head0.496
Teacher spread0.397 · 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 designNot applicable
Domainnot available
GenreProtocol

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
Published2023
Admission routes1
Has abstractyes

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