The anterior-posterior gradient of the fusiform gyrus modulates the transition between mnemonic and perceptual features during reminiscences
Bibliographic record
Abstract
Our cognition can be oriented either towards the external environment, as in perception, or towards our own self and its memories. However, the perception-memory continuum underlying the construction of memories remains unclear. Addressing this gap in our knowledge is the goal of our study; for that we uniquely investigate a rare mental phenomenon, namely internally- and externally-oriented reminiscences as manifest in memories and experiential hallucinations. To probe the causality of precisely located areas in eliciting and structuring such perceptual-mnemonic interactions, we studied a large sample of 335 patients with electrodes implanted across nearly the entire cortical surface, combining intracranial electrical stimulation (iES) and electrophysiological causal connectivity. We demonstrate that the likelihood of internally-oriented reminiscences was significantly higher during stimulation of the anterior fusiform gyrus. Conversely, externally-oriented hallucinations were far more likely to occur upon stimulation of the posterior fusiform gyrus. The probability of connections from regions outside the fusiform gyrus that displayed internally-oriented reminiscences to the fusiform gyrus decreased along the anterior-posterior axis. This suggests that an anterior-posterior gradient within the fusiform gyrus mediates an analogous external-internal perceptual-mnemonic continuum.
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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) | 0.001 | 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".