Characterization of the hemodynamic response of the hippocampal and parahippocampal regions using FMRI
Bibliographic record
Abstract
Previous neuroimaging studies have suggested a dominant role of the right medial temporal lobe (MTL) structures- the hippocampal and parahippocampal regions in spatial memory processing. However, the underlying physiological hemodynamic response functions (HRF) of the MTL substructures remain undefined. Given the neuroanatomical differences between these substructures, it is posited that their hemodynamic characteristics are distinct. In this study, the hemodynamic responses of the MTL substructures are investigated using an optimization algorithm that penalizes the curvature (i.e. second derivative) of HRF. The time-to-peak characteristic of the hemodynamic responses revealed that the right CA3 and DG subfields of the hippocampus are significantly more active than the right CA1 subfield during a specific spatial memory task. Further, the hemodynamic responses of the entorhinal, perirhinal and parahippocampal cortices are presented. Together, these findings may help advance our understanding of neurodegenerative diseases like epilepsy and Alzheimer’s disease that are strongly associated to hippocampal dysfunction.
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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) | 0.001 | 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".