Bridging reading and attention through connectivity with the frontal-eye-fields
Bibliographic record
Abstract
Attentional processes are crucial to successful reading, and theories of dyslexia propose that dysfunctional attention networks may contribute to the observed reading deficits. The goals of the study were to localize a region of the frontal-eye-field (FEF) involved in interactive reading × attention processing and examine its connectivity with regions in the reading and attention networks, given its known role in attentional processes and theorized role in reading. In Experiment 1, we revisited the results of our previous hybrid reading and attention study (Ekstrand, Neudorf, Kress, & Borowsky., 2019). In this case, we observed a previously unreported reading × attention interaction in BOLD intensity in the ventrolateral portion of Brodmann’s Area 6 (A6vl), which corresponded to the FEF. In Experiment 2, we used Human Connectome Project diffusion data to examine the connectivity profile of the A6vl. We observed high communicability between the A6vl and basal ganglia (which plays a role in spatial neglect and rhythm processing of syllables). These connections appeared to support tract clusters which terminated in the cerebellar Crus I/II (which play roles in eye movements and semantics) and cerebral superior parietal lobule (which plays a role in attentional orienting and phonetic decoding). The results of this study suggest the A6vl-FEF supports reading and attention processes. These results will help inform research on the links between reading and attention, and may have implications for developing treatments to improve reading in individuals with dyslexia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".