Alpha Hypersynchrony and Atypical Memory Processes in Soldiers with Post-Traumatic Stress Disorder
Bibliographic record
Abstract
Post-traumatic stress disorder (PTSD) is a psychiatric disorder that is associated with a variety of cognitive sequelae, including disorders of memory.We hypothesised that alterations in functional connectivity in PTSD, mediated by neural synchronisation, may be associated with such deficits.Using magnetoencephalography (MEG), we identified elevated alpha-band (8-14 Hz) phase synchronisation in soldiers with PTSD during working memory and delayed recognition tasks that included war-related and neutral pictures.Performance for the PTSD group matched controls on the working memory task, and this was accompanied by increases in long-range connectivity in the alpha-band during encoding, left-dominant, at 50-150 ms and during recognition at 150-250 ms involving temporal and frontal brain regions.In the delayed recognition task, performance was reduced in the PTSD group compared to controls for neutral, but not war-related images.Elevated alpha-band phase synchronisation was observed in the PTSD group in a right-dominant network of front-temporal and deep grey matter regions for both types of stimuli between 50-150 ms.The literature posits alpha phase dynamics are involved in working memory; our results suggest that atypical alpha synchronisation is related to memory-related sequelae in PTSD, one of the more ubiquitous cognitive comorbidities observed in this disorder.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".