henhaobio
Sign in

Brain TopographyNeurosciencePeer-reviewed journal article

Novelty, category and orientation tuning for printed characters: a magnetoencephalography study with fast periodic visual stimulation

Ekaterina V. KochetkovaiD, Daria G. KostanianiD, Olga MartynovaiD, Olga SysoevaiD

PDFDOIPreprint

Abstract

Letter recognition is assumed to involve several levels of analysis, including coarse tuning for category and novelty and more fine tuning, 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 letters 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 as 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 proposed that expertise-dependent orientation-specific tuning mechanisms may operate within an embedded, spatially overlapping with coarse tuning neural framework, characterized by special spatiotemporal patterns.

Citations
0
FWCI
0.00
Field percentile
24th percentile

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISLochy '24Hauk '24Nárai '22Agrawal '25Tung '26A '19
75% semantic matchNeuroscience
Aliette Lochy, Bruno Rossion, Matthew A. Lambon Ralph+3 more·Cortex·Feb 13, 2024· 13 citations