Altered brain activity in women recovered from bulimic-type eating disorders after a glucose challenge: A pilot study
Bibliographic record
Abstract
OBJECTIVE: It is not known whether individuals with bulimic-type eating disorders have a dysregulation of brain pathways that modulate appetite. Taste plays a role in the regulation of appetite and the purpose of the current study was to determine whether bulimic women have alterations in the physiologic response to the blind administration of glucose. METHOD: To avoid the confounding effects of a current eating disorder, and to assess possibly trait-related disturbances, we studied 10 subjects recovered (> or = 1 year) from a bulimic-type eating disorder and 6 control women. Subjects were administered a solution of glucose or artificial saliva (control solution) in alternating blocks during a functional magnet resonance imaging scan. RESULTS: Individuals who recovered from a bulimic-type eating disorder had significantly lower activation in the right anterior cingulate cortex (ACC; Montreal Neurological Institute [MNI] coordinates x = 8, y = 22, z = 28; cluster size = 18 voxels, T = 5.11, Z-score = 3.78) and in the left cuneus (occipital cortex; MNI coordinates x = -12, y = -78, z = 10; cluster size = 21 voxels, T = 4.27, Z-score = 3.36), when glucose was compared with artificial saliva. CONCLUSION: The ACC plays a role in the anticipation of reward. Individuals with bulimic-type eating disorders may have a reduced reward response to nutrients, and thus may be vulnerable to overeating. However, this is a small sample and the current study will need replication in a larger sample size with investigation of additional regions of interest.
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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 | 0.000 |
| 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) | 0.002 | 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".