Evidence map›Paper›PMID 42081128›Full record

ArticleBrain topography2026

Novelty, Category and Orientation Tuning for Printed Characters: A Magnetoencephalography Study with Fast Periodic Visual Stimulation.

Ekaterina Kochetkova, Daria Kostanian, Olga Martynova, Olga Sysoeva

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Article in Brain topography, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ekaterina KochetkovaInstitute of Higher Nervous Activity and Neurophysiology, RAS, Moscow, Russia. k.v.kochetkova@gmail.com.
Daria KostanianCenter for Cognitive Sciences, Sirius University of Science and Technology, Krasnodar Region, Russia.
Olga MartynovaInstitute of Higher Nervous Activity and Neurophysiology, RAS, Moscow, Russia.
Olga SysoevaInstitute of Higher Nervous Activity and Neurophysiology, RAS, Moscow, Russia.

Funding

Russian Science Foundation 23-78-00011
6 · The paper itself

Abstract

Letter recognition is assumed to involve several levels of analysis, including coarse tuning for category and novelty and more fine tuning for specific features, related to letter orientation. We employed an oddball fast periodic visual stimulation (FPVS) paradigm with magnetoencephalography (Elekta VectorView, 306 sensors) to study neural discrimination responses in the source space. Using contrasts between native and foreign letters, digits, or inverted native letters, we aimed to isolate the neural responses to visual novelty, category, and orientation during character analysis. The study was conducted with a cohort of 25 adults. The response topography demonstrated bilateral organization, including language-related brain regions such as the ventral occipitotemporal cortex, inferior parietal cortex, and middle temporal areas. Comparing conditions, we revealed right lateralized parietal clusters, associated with novelty tuning, and left lateralized occipitotemporal clusters exhibiting higher activity for letters among digits discrimination, supporting the role of this area in letter processing. No distinct spatial patterns specific to orientation tuning were observed in comparison to novelty and category tuning. We propose that expertise-dependent orientation-specific tuning mechanisms may operate within an embedded neural framework that spatially overlaps with coarse tuning systems, but are characterized by specific spatiotemporal patterns.

Indexed as

BrainOrientationPattern Recognition, VisualAdultBrain MappingFemaleFunctional LateralityHumansMagnetoencephalographyMalePhotic StimulationYoung AdultAdult readersCoarse neural tuningFast periodic visual stimulation (FPVS)Orientation sensitivityTuning for orientationVisual frequency tagging (VFT)

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.