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Record W4407387008 · doi:10.1093/ijnp/pyae059.082

REDEFINING RECOVERY: EXPLORING ANTIDEPRESSANT EFFECTS AND COGNITIVE IMPAIRMENT IN TREATMENT RESISTANT DEPRESSION WITH REPETITIVE TRANSCRANIAL MAGNETIC STIMULATION

2025· article· en· W4407387008 on OpenAlexaffabout
Ayan Dey, Clara Healey, Sean M. Nestor, Jennifer S. Rabin, Clement Hamani, Nir Lipsman, Peter Giacobbe

Bibliographic record

VenueThe International Journal of Neuropsychopharmacology · 2025
Typearticle
Languageen
FieldNeuroscience
TopicTranscranial Magnetic Stimulation Studies
Canadian institutionsHealth Sciences CentreToronto Rehabilitation InstituteUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsTranscranial magnetic stimulationAntidepressantDepression (economics)Deep transcranial magnetic stimulationTreatment-resistant depressionNeuroscienceDeep brain stimulationCognitive impairmentPsychologyCognitionMedicineStimulationBrain stimulationPhysical medicine and rehabilitationInternal medicineHippocampusParkinson's disease

Abstract

fetched live from OpenAlex

Abstract Background Cognitive dysfunction is a key pathological feature of treatment resistant major depression (TRD) that is often overlooked (1). Persistent deficits in cognition are common and serve as a mediator of psychosocial and functional outcomes. Such deficits are associated with reduced quality of life and increased likelihood of relapsing (2). Subtle cognitive deficits in depressed patients may also evade detection by traditional screening tools. Unfortunately, despite much advancement in treatment options, a significant proportion of patients who achieve symptomatic improvement in mood symptoms do not return to premorbid functioning. More recently, studies have reported promise of Repetitive Transcranial Magnetic Stimulation (rTMS) related improvements across multiple cognitive domains however whether this translates to improved functional outcomes is unknown (3). It is also unknown whether the presence of cognitive complaints impacts the antidepressant effects of rTMS. Aims & Objectives Investigate how subjective cognitive complaints impact the antidepressant response to rTMS and its relation to residual self-perceived disability, functional impairment, and quality of life. Method Naturalistic study of 457 adults with treatment resistant depression treated with high-frequency rTMS to the left DLPFC at a tertiary academic centre. rTMS treatment was provided 5 days per week for 4-6 weeks at 120% of motor threshold. Participants completed baseline measures of depression severity, perceived cognitive impairment, perceived disability, and quality of life. Measures were repeated at weeks 2, 4 and 6. Binomial logistic regression, linear regression and paired T-tests were then subsequently used for analysis. Results We observed robust antidepressant effects of rTMS with statistically significant improvements in depression severity (p<0.001), reported disability (p<0.001) and quality of life (p<0.001) following 4-6 weeks of treatment. However, there was no significant improvement in degree of subjective memory impairment but there was improvement in self-reported attentional capacity (p<0.001). Compared to those reporting minimum to mild memory impairment at baseline, those reporting moderate to severe memory impairment at baseline are less likely to achieve remission of their depressive symptoms with rTMS (20.3% vs. 42.6%). Subjective memory impairment at baseline was found to be a statistically significant independent predictor of remission following rTMS (p = 0.031, Beta = - 0.95), after controlling for age, biological sex, medical comorbidity burden, and baseline depression severity. Furthermore, residual subjective memory impairment following 4-6 weeks of rTMS was an independent predictor of disability (as measured by the WHODAS) above and beyond residual depressive symptoms (p<0.001, Beta = 0.537). Discussion & Conclusion Robust antidepressant effects are observed in response to rTMS in adults with TRD, however we observed no significant improvement in subjective memory impairment. Subjective memory impairment at baseline independently predicts poorer remission outcomes following rTMS, confirmed by logistic regression, and residual subjective memory impairment predicts perceived disability. Further research is needed to characterize the neurobiology of subjective memory impairment in order to inform future treatment protocols to optimize clinical and functional outcomes in this population. References 1. Zuckerman, H., Pan, Z., Park, C., Brietzke, E., Musial, N., Shariq, A. S., Iacobucci, M., Yim, S. J., Lui, L. M. W., Rong, C. and McIntyre, R. S. (2018) 'Recognition and Treatment of Cognitive Dysfunction in Major Depressive Disorder', Frontiers in Psychiatry, 9. 2. Lam, R. W., Kennedy, S. H., McIntyre, R. S. and Khullar, A. (2014) 'Cognitive dysfunction in major depressive disorder: effects on psychosocial functioning and implications for treatment', Canadian journal of psychiatry, 59(12), pp. 649-654. 3. Hammar, Å., Ronold, E. H. and Rekkedal, G. Å. (2022) 'Cognitive Impairment and Neurocognitive Profiles in Major Depression— A Clinical Perspective', Frontiers in Psychiatry, 13.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.317
Teacher spread0.286 · 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 designObservational
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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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