From retinotopic to ordinal coding: Dissecting the cortical stages of visual word recognition

Fluent reading requires the brain to precisely encode the positions of letters within words, distinguishing for instance <i>FORM</i> and <i>FROM</i> across variations in size, position, and font. Early visual areas, however, are known to encode retinotopic positions, and how these representations get transformed into a position-invariant neural code remains unclear. Building upon a computational model of reading, we used 7T functional MRI and magnetoencephalography (MEG) to reveal a cortical hierarchy in which early visual areas (V1-V4) predominantly encode retinotopic information, whereas higher-level regions, including the visual word form area, transition to an ordinal letter-position code. MEG analyses confirm that retinotopic encoding emerges early (60 to 200 ms), followed by a shift toward ordinal representations in later time windows (220 to 450 ms). Despite this transition, word position remained a dominant factor across all time points, suggesting a concurrent coding of both retinotopic and abstract positional information. These findings uncover the spatiotemporal dynamics by which the human brain transforms visual input into structured prelexical representations, shedding light on the cortical stages of reading and their developmental and clinical implications.

Authors

Institutions

Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2025-10-21
DOI
https://doi.org/10.1073/pnas.2507291122
Citations
1
Primary Topic
Visual perception and processing mechanisms
Type
article
Field-Weighted Citation Impact
1.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From retinotopic to ordinal coding: Dissecting the cortical stages of visual word recognition

Aakash Agrawal, Stanislas Dehaene
1 citations
Proceedings of the National Academy of Sciences
Visual perception and processing mechanisms
1.43
article

From retinotopic to ordinal coding: Dissecting the cortical stages of visual word recognition

Aakash Agrawal, Stanislas Dehaene
article en
1 citations

Abstract

Fluent reading requires the brain to precisely encode the positions of letters within words, distinguishing for instance <i>FORM</i> and <i>FROM</i> across variations in size, position, and font. Early visual areas, however, are known to encode retinotopic positions, and how these representations get transformed into a position-invariant neural code remains unclear. Building upon a computational model of reading, we used 7T functional MRI and magnetoencephalography (MEG) to reveal a cortical hierarchy in which early visual areas (V1-V4) predominantly encode retinotopic information, whereas higher-level regions, including the visual word form area, transition to an ordinal letter-position code. MEG analyses confirm that retinotopic encoding emerges early (60 to 200 ms), followed by a shift toward ordinal representations in later time windows (220 to 450 ms). Despite this transition, word position remained a dominant factor across all time points, suggesting a concurrent coding of both retinotopic and abstract positional information. These findings uncover the spatiotemporal dynamics by which the human brain transforms visual input into structured prelexical representations, shedding light on the cortical stages of reading and their developmental and clinical implications.

Proceedings of the National Academy of SciencesVol. 122(43)
Inserm (FR), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), Université Toulouse - Jean Jaurès (FR)
Openalex Percentile: Top 15%
Visual perception and processing mechanisms
1.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

From retinotopic to ordinal coding: Dissecting the cortical stages of visual word recognition — Aakash Agrawal, Stanislas Dehaene · Proceedings of the National Academy of Sciences (2025) | TGRS Research Map | TGRS