Magnocellular-dorsal stream functioning and exogenous visual attention in elementary school readers: a longitudinal analysis
Bibliographic record
Abstract
Reading difficulty is a common childhood phenomenon. Many children with reading difficulty experience a magnocellular-dorsal stream deficit. This deficit may impair exogenous visual attention (VA) by feeding anomalous information into the posterior parietal cortex, a part of the brain primary responsible for exogenous VA processes. Exogenous VA has an important influence on reading ability and is often impaired in children with reading difficulty. This longitudinal study was designed to illuminate the role of magnocellular-dorsal stream functioning and exogenous VA in reading difficulty, using data from 171 children with varied initial reading abilities tested throughout grades 1, 2, and 3 in public schools. A longitudinal structural equation modelling (SEM) design was utilized to examine the concurrent and predictive relationships of coherent motion detection performance (an index of magnocellular-dorsal stream functioning) and line motion illusion performance (an index of exogenous VA functioning) on reading decoding ability, respectively. The development of these relationships were also examined over time. The best fitting model showed evidence of persistent relationships between VA and early reading ability, and a predictive effect between exogenous VA at the earliest time point and subsequent reading performance. This implies that although VA influences reading growth only during early reading acquisition, reading decoding achievement at very early periods in development can have longer term influences on developing visual processes, emphasizing the importance of reading in the beginning stages. Results contribute to knowledge about the longitudinal associations between VA processes and reading ability and provide evidence for remediating VA difficulties in children with reading difficulty.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".