Bibliographic record
Abstract
This folder contains scripts and results detailed in "An embodied perspective: angular gyrus and precuneus decode selfhood in memories of naturalistic events" by Heather Iriye and Peggy L. St. Jacques. We investigated the interaction between embodiment and visual perspective during encoding, and how this interplay shapes the recall of past events. We hypothesized that the angular gyrus, precuneus, and hippocampus would be involved in integrating the visual perspective and sense of embodiment initially present during memory encoding within memories for naturalistic events as they were retrieved from memory. Patterns of activity during retrieval in the left angular gyrus and bilateral precuneus predicted embodiment on its own separated from visual perspective. In contrast, we observed only inconclusive evidence that these posterior parietal regions predicted visual perspective independent of embodiment. While the left angular gyrus distinguished between in-body and out-of-body perspectives during the retrieval of events associated with both strong and weak embodiment, decoding accuracy predicting visual perspective was only above chance for events encoded with strong embodiment in the precuneus bilaterally. Our results suggest that the contribution of posterior parietal regions in establishing visual perspectives within memories is tightly interconnected with embodiment. Encoding events from an embodied in-body perspective compared to embodied out-of-body perspective led to higher memory accuracy following repeated retrieval. These results elucidate how fundamental feelings of being located in and experiencing the world from our own body’s perspective are integrated within memory. scripts subfolder: run_crossvalidation_measure_ROI_ST_final.m - Matlab script to perform ROI decoding analyses using the CoSMoMVPA toolbox. ROIs subfolder: Contains binarized ROI masks of the left and right angular gyrus, precuneus, and hippocampus. results subfolder: behavioralResults.csv - results of the illusion induction questionnaire and cued recall test/subjective ratings from immediate testing, scanning, and post-scanning sessions. decodingAccuraciesSingleHemiAll.xlsx - results of the ROI decoding analyses with one tab per analysis Abbreviations: Sess1 = session one (immediate testing) Scan = scanning session Sess2 = session 2 (post-scanning) illMinCont = average illusion minus control statement ratings Corr = cued recall accuracy (proportion correct) Viv = vividness EI = emotional intensity Belief = belief in memory accuracy InBodyRat = average 1PP rating OutofBodyRat = average 3PP rating accLDA = LDA classifier accuracy accMinChLDA = accuracy minus chance LDA classifier sscore
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.517 | 0.230 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".