听力障碍脑电研究热点和前沿趋势——基于CiteSpace知识图谱软件的量化分析

丁颖; 李筱菁

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听力障碍脑电研究热点和前沿趋势——基于CiteSpace知识图谱软件的量化分析

更新时间：2026-10-12

- 听力障碍脑电研究热点和前沿趋势——基于CiteSpace知识图谱软件的量化分析
- Hotspots and Frontier of EEG Research for Hearing Impairment:A Quantitative Analysis Based on CiteSpace Knowledge Mapping Software
- 中国听力语言康复科学杂志 2026年页码：1-8
- 作者机构：
  
  1.上海师范大学天华学院健康学院上海 201815
  2.南京特殊教育师范学院数学科学学院南京 210038
- 作者简介：
  
  丁颖博士讲师；研究方向：特殊需要儿童心理、认知神经科学
  李筱菁，E-mail：lixiaojing@njts.edu.cn
- 基金信息：
  
  江苏省高校哲学社会科学基金项目“听障大学生的反馈学习的认知神经机制”(2019SJA0563);中国博士后面上基金项目“社会性疼痛对抑郁症奖赏加工脑电活动的影响研究”(2023M732261)
- DOI：
  中图分类号： G762
- 收稿：2025-01-14，
  
  修回：2025-02-27，
  
  录用：2025-03-27，
  
  网络首发：2026-10-12，
- 稿件说明：
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丁颖,李筱菁.听力障碍脑电研究热点和前沿趋势——基于CiteSpace知识图谱软件的量化分析[J].中国听力语言康复科学杂志,

DING Ying,LI Xiao-jing.Hotspots and Frontier of EEG Research for Hearing Impairment:A Quantitative Analysis Based on CiteSpace Knowledge Mapping Software[J].Chinese Scientific Journal of Hearing and Speech Rehabilitation,
丁颖,李筱菁.听力障碍脑电研究热点和前沿趋势——基于CiteSpace知识图谱软件的量化分析[J].中国听力语言康复科学杂志, DOI：10.3969/j.issn.1672-4933...001.

DING Ying,LI Xiao-jing.Hotspots and Frontier of EEG Research for Hearing Impairment:A Quantitative Analysis Based on CiteSpace Knowledge Mapping Software[J].Chinese Scientific Journal of Hearing and Speech Rehabilitation, DOI：10.3969/j.issn.1672-4933...001.

摘要

随着研究技术的不断进步，脑电已成为研究听障患者神经机制的重要技术手段之一。相较于磁共振成像和脑磁图等脑成像技术，脑电因其非侵入性、高时间分辨率、成本较低且不受金属植入设备限制等优势，尤其适用于佩戴助听设备或人工耳蜗的听障群体。本研究基于“Web of Science”核心合集数据库收录的380篇相关文献，采用CiteSpace文献计量可视化软件，从发文量、发文国家、主要研究者、关键词聚类和突现词等多个维度对文献进行系统分析，旨在全面了解听障脑电领域的研究现状、热点及趋势。自2017年起，该领域发文量呈现逐年显著增长态势，尤其是2022年全年发文量达到49篇，这一增长可能与国际社会对听力保健关注度提升有关。发文量最多的国家为美国，其次为德国和中国，研究者具有多学科背景，涉及心理学、神经科学、语言学及自动化等领域。综合高频关键词和关键词聚类，发现听力诊断评估的生物学指标、听觉皮层的动态变化和社会认知是当前听障脑电研究的热点主题。突现词分析显示，研究趋势主要体现在三个方面：研究视角从单模态可塑性向多模态可塑性丰富化、研究对象从儿童早期向老年扩大化和数据处理从时域分析向时频分析复杂化。基于此，未来我国听障脑电研究应加强学科合作、关注个体差异、扩大样本量并开展纵向研究和推动研究本土化，以期为听障患者的神经机制揭示、临床诊断、康复策略及教育实践提供科学依据。

Abstract

Over the past several decades

with the continuous and ongoing advancement of modern research technologies

electroencephalography (EEG) has increasingly come to be recognized as one of the most important and extensively employed technical approaches for exploring the neural mechanisms of individuals with hearing impairment. In contrast to neuroimaging techniques such as magnetic resonance imaging and magnetoencephalography

EEG possesses a number of notable advantages

including its non-invasive nature

high temporal resolution

relatively low acquisition costs

and freedom from the constraints imposed by metallic implanted devices. Owing to these merits

EEG is particularly and especially suited to hearing- impaired populations who wear hearing aids or cochlear implants

and it has therefore become a preferred tool in this field of research. Based on a total of 380 relevant academic papers incorporated in the Web of Science core collection database

the present study adopted CiteSpace

a bibliometric visualization software

to systematically and comprehensively examine the literature from a variety of dimensions

encompassing publication volume

the countries of publication

principal researchers

keyword clustering

and burst terms. The primary aim of this study was to acquire an in-depth understanding of the current research status

research hotspots

and frontier trends that characterize the field of EEG research on hearing impairment

so as to offer a comprehensive overview of the developmental trajectory of this domain. The results of the analysis revealed that

since 2017

the volume of publications in this field has manifested a significant and remarkable growth trend

with a particularly prominent upsurge observed in 2022

when the annual publication count reached 49 articles. This surge may plausibly be associated with the increasing and growing attention paid by the international community to hearing care. In terms of geographic distribution

the United States ranked first in publication output

followed by Germany and China

which jointly constitute the main driving forces of research in this area. Furthermore

researchers in this domain come from multidisciplinary backgrounds

encompassing disciplines such as psychology

neuroscience

linguistics

and automation

which reflects the inherently cross-disciplinary nature of this research field. By combining high-frequency keywords with keyword clustering analysis

it was found that biological indicators for hearing diagnosis and assessment

dynamic changes in the auditory cortex

and social cognition constitute the current hot topics within EEG research on hearing impairment. Moreover

the analysis of burst terms indicates that research trends are primarily manifested in three respects: the enrichment of research perspectives from unimodal plasticity to multimodal plasticity

the expansion of research subjects from early childhood to older adults

and the escalating complexity of data processing from time-domain analysis to time-frequency analysis. Taken together

these trends point to an increasingly diversified and integrative orientation of future research in this field. Based on these findings

future EEG research on hearing impairment in China should strengthen interdisciplinary cooperation

pay close attention to individual differences

expand sample sizes and conduct longitudinal studies

and promote the localization of research efforts. These measures are expected to provide a scientific basis for revealing the neural mechanisms

clinical diagnosis

rehabilitation strategies

and educational practices pertaining to individuals with hearing impairment

thereby supporting both theoretical progress and practical applications in this area.

关键词

Keywords

references

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