Reduced negative BOLD responses in the default-mode network and increased self-focus in depression
Bibliographic record
Abstract
OBJECTIVES: Functional imaging studies in major depressive disorder (MDD) indicate abnormal resting state neural activity and negative blood oxygenation level-dependent (BOLD) responses (NBRs) in regions of the default-mode network (DMN). METHODS: Since activity in DMN regions has been associated with self-relatedness, we investigated neural activity in these regions during self-related emotional judgement and passive picture viewing in 25 patients with MDD and 25 healthy controls in an event-related fMRI design. RESULTS: Behaviourally, MDD subjects showed significantly higher ratings of self-relatedness that also correlated with depression symptoms such as hopelessness. Neuroimaging results in MDD patients showed significantly lower negative BOLD responses (NBRs) in anterior medial cortical regions during judgement of self-relatedness while posterior medial regions showed increased NBRs. Unlike in healthy subjects, the anterior medial cortical NBRs were no longer parametrically modulated by the degree of self-relatedness in MDD patients. CONCLUSIONS: Our findings suggest that reduced NBRs in the anterior regions of the default-mode network may signify decoupling from self-relatedness in MDD patients with the consecutive abnormal increase of self-focus.
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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".