The influence of emotion on working memory: Exploratory fMRI findings among men with histories of childhood sexual abuse
Bibliographic record
Abstract
BACKGROUND: Childhood maltreatment can have detrimental consequences on individual well-being and cognitive functioning. One type of childhood maltreatment that remains stigmatized and under-researched among men is child sexual abuse (CSA). Research examining the neurophysiological consequences of CSA in males is limited even further. OBJECTIVE: To provide preliminary insight into the neural basis of the impact of CSA during two working memory tasks. PARTICIPANTS AND SETTING: Men with CSA histories, with and without post-traumatic stress disorder (PTSD; CSA + PTSD n = 7, mean age = 45; CSA-PTSD; n = 9, mean age = 41), and men without a CSA history nor PTSD (n = 13, mean age = 36) participated in the study at a local hospital. METHODS: Participants completed a letter n-back task and an emotional picture n-back task during fMRI to measure working memory and the influence of emotion on working memory. They also completed self-report measures to assess mental health and childhood abuse histories. RESULTS: In the letter n-back task, men with CSA + PTSD had less activation in the cerebellum and left fusiform gyrus compared to CSA-PTSD men. During the working memory task with negative emotional pictures the control group had greater frontal activation, while the CSA-PTSD group had greater limbic activation. Analyses were performed with independent-samples t-tests. CONCLUSIONS: This study provides preliminary empirical evidence of the impact CSA can have on men regarding working memory when negative stimuli are involved. It highlights that CSA, even without a diagnosis of PTSD, can have a significant neurophysiological impact. It also provides clinicians with information to support well-being and help with potential day to day challenges.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".