The nature of abnormal language processing in euthymic bipolar I disorder: evidence for a relationship between task demand and prefrontal function
Bibliographic record
Abstract
OBJECTIVES: Abnormal language processing is a consistent finding in bipolar disorder (BD). We used functional magnetic resonance imaging (fMRI) to investigate the core components of language processing as well as the impact of task demand in a group of bipolar subjects. METHODS: Twelve euthymic dextral male BD I participants receiving lithium monotherapy were matched with 12 controls. Groups were matched for age, years of education and estimated premorbid IQ. We employed a factorial design manipulating task demand (decision versus fluency) and task domain (phonetic versus semantic) to investigate differences in language processing between groups and across different task domains and requirements. Data were fitted to haemodynamic response models convolved to the experimental design. Group and task difference maps were generated. RESULTS: During the scanning session bipolar patients demonstrated significantly slower reaction times. However, groups demonstrated the same task accuracy except for one domain (phonetic decision). All participants activated regions known to be engaged by language tasks, but compared to controls the bipolar patients showed altered patterns of prefrontal activation which were related to the nature of the task, language processing, and increasing task demand. CONCLUSIONS: We have demonstrated abnormal prefrontal activation in bipolar patients across a range of language tasks with varying task demands.
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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 | 0.001 | 0.000 |
| 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) | 0.000 | 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".