A critical review of methodological quality in functional neuroimaging studies on dissociative identity disorder
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Dissociative identity disorder remains contested. The debate hinges on whether memories carry over between identity states and whether those states are truly distinct, but most evidence rests on self report rather than direct memory tests. Neuroimaging has been advanced as an indirect, non self-report approach by scanning individuals with DID in different identity states and comparing them with simulators or other groups. Objective: To evaluate how studies that scan people with DID in more than one identity state inform the core memory claims of DID, by assessing their methodological quality. Methods: Systematically reviewing studies from the past 40 years, quality was assessed using GRADE criteria and the Newcastle-Ottawa scale. Results: Of the nine studies reviewed, many lacked specific aims and only one stated clear hypotheses throughout. The results further indicated several concerns related to diagnostic comorbidity, and absence of clinical comparisons, reverse inference, and post hoc reasoning. Conclusions: On current evidence, functional imaging across identity states does not support firm claims about identity fragmentation or inter identity amnesia, nor does it decide between trauma based and sociocognitive accounts. Methodological refinement and direct tests of memory transfer are needed for progress.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it