Evidence map›Paper›PMID 39214706›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2024

Spatiotemporal Neural Network for Sublexical Information Processing: An Intracranial SEEG Study.

Chunyu Zhao, Yi Liu, Jiahong Zeng, Xiangqi Luo, Weijin Sun, Guoming Luan, Yuxin Liu, Yumei Zhang, Gaofeng Shi, Yuguang Guan and 1 more

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
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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

11 authors.

Chunyu ZhaoNational Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.ORCID 0000-0002-3160-5585
Yi LiuBeijing Institute of Otolaryngology, Otolaryngology-Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing 100005, China.
Jiahong ZengNational Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.
Xiangqi LuoNational Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.
Weijin SunDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing 100093, China.
Guoming LuanDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing 100093, China.
Yuxin LiuNational Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.ORCID 0009-0008-6356-7377
Yumei ZhangDepartment of Rehabilitation Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Gaofeng ShiCollege of International Education and Exchange, Tianjin Normal University, Tianjin 300387, China.
Yuguang GuanDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing 100093, China zzhhan@bnu.edu.cn guanyg2020@ccmu.edu.cn.
Zaizhu HanNational Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China zzhhan@bnu.edu.cn guanyg2020@ccmu.edu.cn.ORCID 0000-0003-1751-6452

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Words offer a unique opportunity to separate the processing mechanisms of object subcomponents from those of the whole object, because the phonological or semantic information provided by the word subcomponents (i.e., sublexical information) can conflict with that provided by the whole word (i.e., lexical information). Previous studies have revealed some of the specific brain regions and temporal information involved in sublexical information processing. However, a comprehensive spatiotemporal neural network for sublexical processing remains to be fully elucidated due to the low temporal or spatial resolutions of previous neuroimaging studies. In this study, we recorded stereoelectroencephalography signals with high spatial and temporal resolutions from a large sample of 39 epilepsy patients (both sexes) during a Chinese character oral reading task. We explored the activated brain regions and their connectivity related to three sublexical effects: phonological regularity (whether the whole character's pronunciation aligns with its phonetic radical), phonological consistency (whether characters with the same phonetic radical share the same pronunciation), and semantic transparency (whether the whole character's meaning aligns with its semantic radical). The results revealed that sublexical effects existed in the inferior frontal gyrus, precentral and postcentral gyri, temporal lobe, and middle occipital gyrus. Additionally, connectivity from the middle occipital gyrus to the postcentral gyrus and from postcentral gyrus to the fusiform gyrus was associated with the sublexical effects. These findings provide valuable insights into the spatiotemporal dynamics of sublexical processing and object recognition in the brain.

Indexed as

Nerve NetReadingAdolescentAdultBrainBrain MappingElectrocorticographyElectroencephalographyEpilepsyFemaleHumansMaleMiddle AgedSemanticsYoung AdultSEEGspatiotemporal networksublexical processingword reading

Identifiers

PMID39214706
PMCPMC11551892

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.