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Record W2747851060 · doi:10.1002/eat.22764

Dorsomedial prefrontal cortex repetitive transcranial magnetic stimulation treatment of posttraumatic stress disorder in eating disorders: An open‐label case series

2017· article· en· W2747851060 on OpenAlexaff
D. Blake Woodside, Patricia Colton, Eileen Lam, Katharine Dunlop, Julia Rzeszutek, Jonathan Downar

Bibliographic record

VenueInternational Journal of Eating Disorders · 2017
Typearticle
Languageen
FieldNeuroscience
TopicTranscranial Magnetic Stimulation Studies
Canadian institutionsKrembil FoundationUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsTranscranial magnetic stimulationPrefrontal cortexPosttraumatic stressPsychologyNeuroscienceStimulationEating disordersAudiologyMedicineClinical psychologyCognition

Abstract

fetched live from OpenAlex

Posttraumatic stress disorder (PTSD) is a common comorbid condition in anorexia nervosa (AN) and bulimia nervosa (BN), and may be associated with reduced response to treatment. We report on a case series employing repetitive transcranial magnetic stimulation (rTMS) with a novel target, the dorsomedial prefrontal cortex (DMPFC). Fourteen subjects with eating disorders and comorbid PTSD received 20-30 neuronavigated DMPFC-rTMS treatments on an open-label basis. PTSD symptoms were assessed pretreatment and posttreatment with the PTSD checklist-Civilian (PCL-C) and the Difficulties in Emotional Regulation Scale (DERS). PCL-C scores were reduced by 51.99% ± 27.24% overall, from a mean of 54.29 ± 19.34 pretreatment to 24.86 ± 17.43 posttreatment (p < .001). Of the 14, 8 showed an improvement of >50%. DERS scores improved by 36.02% ± 24.24% overall, from 140.00 ± 22.09 at pretreatment to 89.29 ± 38.31 at posttreatment (p < .001). OF the 14 subjects, 5 achieved >50% improvement. These data may suggest that DMPFC-rTMS could be helpful in the treatment of PTSD in some ED patients.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.050
GPT teacher head0.353
Teacher spread0.303 · 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 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".

Quick stats

Citations46
Published2017
Admission routes1
Has abstractyes

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