OSCR

The Nature of a Writing System Shapes the Cognitive and Neural Mechanisms for Reading Acquisition.

Overview

  1. Division of Psychology and Language Sciences, University College London, London, UK
  2. Department of Psychology, Royal Holloway, University of London, Egham, UK
  3. Advanced Research Computing Centre, University College London, London, UK
  4. Faculty of Human Science, University of Regensburg, Regensburg, Germany
Institutions: University College London (United Kingdom); University of London (United Kingdom); Royal Holloway University of London (United Kingdom); University of Regensburg (Germany)
Journal: Neurobiology of language (Cambridge, Mass.), volume 7, article NOL.a.248
Dates: received 4 June 2025; accepted 19 February 2026; published online 21 May 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1162/nol.a.248 · PMID 42199524 · PMCID PMC13200069 · OpenAlex W7133507386
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: cognitive (subfield)
Methods: Connectivity, Statistics, Preprocessing, fMRI & imaging
Keywords: artificial orthography, neuroimaging, reading acquisition, reading development, statistical regularities
Topic: Neurobiology of Language and Bilingualism (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Citations: not cited yet (Europe PMC); 50 references in the paper

Abstract

Writing systems are cultural inventions that differ in how they represent spoken language. We tested how the brain learns to map arbitrary visual symbols to sound and meaning by comparing neural activity for artificial writing systems that were either alphabetic (systematic symbol-sound mappings) or logographic (arbitrary symbol-sound mappings). Twenty-four adults learned to read aloud and comprehend novel words written in each system. After 2 weeks of training, functional magnetic resonance imaging during reading comprehension revealed that the dorsal pathway (inferior parietal gyrus, inferior frontal gyrus), which is involved in mapping from print-to-sound, was more active for the alphabetic system, whereas the ventral pathway (anterior fusiform gyrus, middle temporal gyrus), which is involved in mapping from print-to-meaning, was more active for the logographic system. Combined with performance differences, these findings indicate that systematic symbol-sound mappings allowed the brain to bridge the interface between vision and meaning via sound, whereas an absence of systematicity made it more efficient to link vision directly to meaning. Thus, the same brain finds different solutions to the problem of reading that capitalise on the statistical properties of culturally invented writing systems.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper links to its data, not to its authors' code: see the Data section.

The paper's code and data availability statement is in the Data section.

Tracing map

A tracing map links a paper to the code its authors published: this paper has none, so it has no map.

Data

Datasets cited

Data and code availability statements

Stimuli, behavioural data, the behavioural data analysis scripts, depiction of the neuroimaging analysis pipeline, and regions of interest used for neuroimaging analyses are available on the Open Science Framework (https://osf.io/nujm3/overview).

Raw neuroimaging data in BIDS format are available on OpenNeuro (doi:10.18112/openneuro.ds006021.v1.0.1 (https://doi.org/10.18112/openneuro.ds006021.v1.0.1)).

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 2, 28 September 2026

  • Funding: added Economic and Social Research Council: ES/L002264/1; Royal Holloway, University of London

Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 6 authors, 5 keywords, 47 references.

Cite

This paper

Taylor, J. S. H., Jowett, A., Auer, T., Hsieh, C.-Y., Lingnau, A., & Rastle, K. (2026). The Nature of a Writing System Shapes the Cognitive and Neural Mechanisms for Reading Acquisition. Neurobiology of language (Cambridge, Mass.), 7, NOL.a.248. https://doi.org/10.1162/nol.a.248

BibTeX

@article{taylor2026nature,
author = {Taylor, J S H and Jowett, Adam and Auer, Tibor and Hsieh, Cheng-Yu and Lingnau, Angelika and Rastle, Kathleen},
title = {{The Nature of a Writing System Shapes the Cognitive and Neural Mechanisms for Reading Acquisition}},
journal = {Neurobiology of language (Cambridge, Mass.)},
year = {2026},
month = may,
volume = {7},
pages = {NOL.a.248},
publisher = {MIT Press},
issn = {2641-4368},
doi = {10.1162/nol.a.248},
url = {https://doi.org/10.1162/nol.a.248},
pmid = {42199524},
pmcid = {PMC13200069}
}

RIS

TY - JOUR
AU - Taylor, J S H
AU - Jowett, Adam
AU - Auer, Tibor
AU - Hsieh, Cheng-Yu
AU - Lingnau, Angelika
AU - Rastle, Kathleen
TI - The Nature of a Writing System Shapes the Cognitive and Neural Mechanisms for Reading Acquisition
T2 - Neurobiology of language (Cambridge, Mass.)
J2 - Neurobiol Lang (Camb)
PY - 2026
DA - 2026/05/21
VL - 7
SP - NOL.a.248
SN - 2641-4368
PB - MIT Press
DO - 10.1162/nol.a.248
UR - https://doi.org/10.1162/nol.a.248
LA - en
ER -

CSL-JSON

{
"id": "10.1162/nol.a.248",
"type": "article-journal",
"title": "The Nature of a Writing System Shapes the Cognitive and Neural Mechanisms for Reading Acquisition",
"container-title": "Neurobiology of language (Cambridge, Mass.)",
"author": [
{
"family": "Taylor",
"given": "J S H"
},
{
"family": "Jowett",
"given": "Adam"
},
{
"family": "Auer",
"given": "Tibor"
},
{
"family": "Hsieh",
"given": "Cheng-Yu"
},
{
"family": "Lingnau",
"given": "Angelika"
},
{
"family": "Rastle",
"given": "Kathleen"
}
],
"container-title-short": "Neurobiol Lang (Camb)",
"volume": "7",
"page": "NOL.a.248",
"DOI": "10.1162/nol.a.248",
"PMID": "42199524",
"PMCID": "PMC13200069",
"ISSN": "2641-4368",
"publisher": "MIT Press",
"URL": "https://doi.org/10.1162/nol.a.248",
"language": "en",
"issued": {
"date-parts": [
[
2026,
5,
21
]
]
}
}

Similar papers

The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.

[1] doi:10.1162/nol.a.266 [code]
The Role of the Anterior Temporal Lobe in Reading: An HD-tDCS Study.
Journal: Neurobiology of language (Cambridge, Mass.)
In common: cognitive, 4 references
[2] doi:10.1038/s41598-026-58866-4 [code]
A neurocognitive interactive activation model of semantic priming in lexical decisions.
Journal: Scientific reports
In common: cognitive, 4 references
[3] doi:10.3389/fpsyg.2026.1911950
The spacing words and pseudowords reading test: normative data to measure peripheral acquired dyslexia in the Italian adult population.
Journal: Frontiers in psychology
In common: 3 references
[4] doi:10.3390/brainsci16050530
Transcranial Magnetic Stimulation over the Left Inferior Parietal Lobule Facilitates Early-Stage Processing During Natural Chinese-English Bilingual Reading.
Journal: Brain sciences
In common: cognitive, 3 references
[5] doi:10.1162/imag.a.1305
Can you <i>feel</i> what I am saying? Speech-based vibrotactile stimulation enhances the cortical tracking of attended speech in a multi-talker background.
Journal: Imaging neuroscience (Cambridge, Mass.)
In common: cognitive, 3 references
[6] doi:10.1162/nol.a.268 [code]
A Matter of Font: Visual Word Form Area Responses to Brand Names Are More Sensitive to Font Than to Letter Case Changes.
Journal: Neurobiology of language (Cambridge, Mass.)
In common: cognitive, 2 references
[7] doi:10.7554/elife.106070 [code]
Dynamic fMRI networks of human emotion.
Journal: eLife
In common: cognitive, 3 references
[8] doi:10.1162/imag.a.1246 [code]
A 3.5-minute-long reading-based fMRI localizer for the language network.
Journal: Imaging neuroscience (Cambridge, Mass.)
In common: 3 references
[9] doi:10.1162/nol.a.247 [code]
Same Sentences, Different Grammars, Different Brain Responses?: An MEG Study on Case and Agreement Encoding in Hindi and Nepali Split-Ergative Structures.
Journal: Neurobiology of language (Cambridge, Mass.)
In common: 3 references
[10] doi:10.1162/nol.a.255 [code]
Lexical Representations of the Native and Second Languages During L2 Word Reading in Chinese-English Bilinguals.
Journal: Neurobiology of language (Cambridge, Mass.)
In common: cognitive, 2 references

Contribute

The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.

Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.

Request its removal

To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).

Discussion, reproductions, activity

Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.

Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.

Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.