Evidence map›Paper›PMID 40163364›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Asymmetric Inter-Hemisphere Communication Contributes to Speech Acquisition of Toddlers with Cochlear Implants.

Xue Zhao, Meiyun Wu, Haotian Liu, Yuyang Wang, Zhikai Zhang, Yuhe Liu, Yu-Xuan Zhang

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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

7 authors.

Xue ZhaoState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China.ORCID https://orcid.org/0000-0001-9577-4145
Meiyun WuState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China.
Haotian LiuDepartment of Otolaryngology Head and Neck Surgery, West China Hospital of Sichuan University, Chengdu, 610041, China.
Yuyang WangDepartment of Otolaryngology Head and Neck Surgery, Hunan Provincial People's Hospital (First Affiliated Hospital of Hunan Normal University), Changsha, 410005, China.
Zhikai ZhangDepartment of Otolaryngology Head and Neck Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100025, China.
Yuhe LiuDepartment of Otolaryngology Head and Neck Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Yu-Xuan ZhangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China.ORCID https://orcid.org/0000-0002-9141-7447

Funding

Beijing Municipal Science and Technology Commission, Adminitrative Commission of Zhongguancun Science Park Z191100006619027Capital's Funds for Health Improvement and Research 2022-1-2023National Natural Science Foundation of China 82071070Natural Science Foundation of Hunan Province 2022JJ40225STI2030-Major Projects 2022ZD0204600
6 · The paper itself

Abstract

How the lateralized language network and its functions emerge with early auditory experiences remains largely unknown. Here, early auditory development is examined using repeated optical imaging for cochlear implanted (CI) toddlers with congenital deafness from onset of restored hearing to around one year of CI hearing experiences. Machine learning models are constructed to resolve how functional organization of the bilateral language network and its sound processing support the CI children's post-implantation development of auditory and verbal communication skills. Behavioral improvement is predictable by cortical processing as well as by network organization changes, with the highest classification accuracy of 81.57%. For cortical processing, behavioral prediction is better for the left than the right hemisphere and for speech than non-speech processing. For network organization, the best prediction is obtained for resting state, with greater contribution from inter-hemisphere connections between non-homologous regions than from within-hemisphere connections. Most interestingly, systematic connectivity-to-activity models reveal that speech processing of the left language network is developmentally supported largely by global network organization, particularly asymmetric inter-hemisphere communication, rather than functional segregation of local network. These findings collectively confirm the importance of asymmetric inter-hemisphere communication in formation of the lateralized language network and its functional development with early auditory experiences.

Indexed as

Cochlear ImplantsDeafnessSpeechSpeech PerceptionChild, PreschoolFemaleHumansInfantLanguage DevelopmentMachine LearningMalebrain imagingcochlear implantationlanguage developmentmachine learningspeech perception

Identifiers

PMID40163364
PMCPMC12120705

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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.