Gateway to Syntax: On the Neural Origins of the Left Anterior Negativity and Their Functional Implications.
Overview
- Center UCM-ISCIII for Human Evolution and Behavior, Madrid, Spain
- Department of Psychobiology and Methods in Behavioral Sciences, Universidad Complutense de Madrid, Spain
- Department of Psychology, Humboldt Universität zu Berlin, Germany
- Life Sciences Imaging Center, Hong Kong Baptist University, Hong Kong, China
- Faculty of Education, National University of Malaysia, Kuala Lumpur, Malaysia
- Faculty of Health Sciences, UNIE University, Madrid, Spain
Abstract
The neural origins of the Left Anterior Negativity (LAN) component of the Event-Related brain Potentials (ERP) have never been directly probed although this information is of the highest interest for a comprehensive view of the neural foundation of language. The LAN emerges specifically after morphosyntactic violations and is affected by both linguistic and extralinguistic, non-syntactic information. Here, we explored the neural sources of the LAN by analyzing data from three previously published ERP data sets obtained from canonical morphosyntactic violation conditions. The neuroelectric source analyses were based on LAN data from N = 76 participants and comprised two distributed source algorithms: sLORETA (standardized low-resolution brain electromagnetic tomography), and CLARA (classical LORETA analysis recursively applied), and a discrete dipole model (BESA, brain electrical source analysis). The results indicate that the most acceptable candidate as primary neural source of the LAN is the left frontal operculum (LFO), though the right FO might also be implicated. Considering its location, functions and connections, we speculate that the FO may be monitoring articulatory (morphological or morphophonological) predictions during language comprehension. The direct links between the FO and the anterior temporal pole might also account for nonlinguistic influences on the LAN.
Reproduced under the paper's license (CC BY), from the paper cited above.
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The paper links to its data and to no code of its authors: see the Data section.
The paper's code and data availability statement is in the Data section.
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Data
Datasets cited
Code and Data Availability Statement
Data -individual grand averages ERP for each participant and condition- from each of the three original studies are available from OSF public repository (https://
All the present analyses were performed using BESA (Brain Electrical Source Analysis), a third-party, commercial software (BESA GmbH, Gräfelfing, Germany).
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
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Version 1, 30 September 2026: the first record
Recorded: type, language, journal, volume, pages, dates, 6 authors, 4 keywords, 2 funders, 99 references.
Cite
This paper
Martin-Loeches, M., Sommer, W., Jiménez-Ortega, L., Espuny, J., Rubianes, M., & Casado, P. (2026). Gateway to Syntax: On the Neural Origins of the Left Anterior Negativity and Their Functional Implications. Neurobiology of language (Cambridge, Mass.), 7, NOL.a.227. https://
BibTeX
@article{martinloeches20
author = {Martin-Loeches, Manuel and Sommer, Werner and Jiménez-Ortega, Laura and Espuny, Javier and Rubianes, Miguel and Casado, Pilar},
title = {{Gateway to Syntax: On the Neural Origins of the Left Anterior Negativity and Their Functional Implications}},
journal = {Neurobiology of language (Cambridge, Mass.)},
year = {2026},
month = mar,
volume = {7},
pages = {NOL.a.227},
publisher = {MIT Press},
issn = {2641-4368},
doi = {10.1162/
url = {https://
pmid = {41971746},
pmcid = {PMC13065097}
}
RIS
TY - JOUR
AU - Martin-Loeches, Manuel
AU - Sommer, Werner
AU - Jiménez-Ortega, Laura
AU - Espuny, Javier
AU - Rubianes, Miguel
AU - Casado, Pilar
TI - Gateway to Syntax: On the Neural Origins of the Left Anterior Negativity and Their Functional Implications
T2 - Neurobiology of language (Cambridge, Mass.)
J2 - Neurobiol Lang (Camb)
PY - 2026
DA - 2026/
VL - 7
SP - NOL.a.227
SN - 2641-4368
PB - MIT Press
DO - 10.1162/
UR - https://
LA - en
ER -
CSL-JSON
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