Article(id=1251475907765027403, tenantId=1146029695717560320, journalId=1146032081894723586, issueId=1251475905764340193, articleNumber=null, orderNo=null, doi=10.3981/j.issn.2097-0781.20260002, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1768924800000, receivedDateStr=2026-01-21, revisedDate=1772380800000, revisedDateStr=2026-03-02, acceptedDate=null, acceptedDateStr=null, onlineDate=1776304707708, onlineDateStr=2026-04-16, pubDate=1773936000000, pubDateStr=2026-03-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1776304707708, onlineIssueDateStr=2026-04-16, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1776304707708, creator=system, updateTime=1776304707708, updator=system, issue=Issue{id=1251475905764340193, tenantId=1146029695717560320, journalId=1146032081894723586, year='2026', volume='5', issue='1', pageStart='4', pageEnd='147', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=1, createTime=1776304707232, creator=system, updateTime=1776331829497, updator=13041195026, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1251589664889586471, tenantId=1146029695717560320, journalId=1146032081894723586, issueId=1251475905764340193, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1251589664889586472, tenantId=1146029695717560320, journalId=1146032081894723586, issueId=1251475905764340193, language=CN, specialIssueTitle=主动健康与智能康复专刊, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=61, endPage=73, ext={EN=ArticleExt(id=1251475908025074253, articleId=1251475907765027403, tenantId=1146029695717560320, journalId=1146032081894723586, language=EN, title=Current Situation and Prospects of Multimodal Screening Assessment and Physical Factor-Based Synergistic Intervention for Cognitive Impairment, columnId=1149656489310208610, journalTitle=Science and Technology Foresight, columnName=Review and Commentary, runingTitle=null, highlight=null, articleAbstract=

With the rapid aging of the population, the prevention and management of cognitive impairment have emerged as a critical public health issue. This paper provides a systematic review of recent advances in multimodal screening assessment and physical factor-based synergistic interventions for cognitive impairment. It summarizes the current applications of both traditional cognitive scales and digital screening tools, including computerized neuropsychological tests, mobile health applications, and multimodal behavioral sensing technologies. The review also traces the evolution of cognitive impairment assessment from standalone scales to multimodal precision assessment. It focuses on the mechanisms and potential of physical factor technologies, such as transcranial magnetic, electrical, acoustic, and optical stimulation, and their synergistic strategies in modulating neuroplasticity and enhancing cognitive function. Based on this foundation, the paper further projects future trends toward intelligent, precise, and synergistic development in this field. It systematically analyzes the challenges hindering their practical application, including issues related to standardization, mechanistic research, clinical translation, and workforce training. Corresponding recommendations are proposed to inform early identification and precise intervention for cognitive impairment.

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随着人口老龄化进程加快,认知障碍防治已成为一项重要的公共卫生议题。文章系统综述了认知障碍多模态筛查评估与物理因子协同干预的研究进展,梳理了传统认知量表及计算机化神经心理测试、移动健康应用、多模态行为传感技术等数字化筛查工具的应用现状,阐述了认知障碍评估从单一量表向多模态精准化评估的演变,重点探讨了经颅磁、电、声、光等物理因子技术及其协同干预策略在调节神经可塑性、提升认知功能方面的作用机制和潜力。在此基础上,进一步展望了该领域向智能化、精准化、协同化发展的未来趋势,系统剖析了这一趋势在落地过程中面临的标准建立、机制探索、临床转化和人才储备等问题与挑战,并提出相应建议,以期为认知障碍的早期识别和精准干预提供参考。

, correspAuthors=胡昔权, authorNote=null, correspAuthorsNote=null, copyrightStatement=版权所有 © 2026 前瞻科技编辑部, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=uSatTWtJddV1CWpMKo3cfQ==, magXml=wMyP83s5i4TFJoyLj/6DlA==, pdfUrl=null, pdf=10hCCt+BHZWAg77zGutcag==, pdfFileSize=1862879, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=Logb3yfEvBCpkSqVsdh9sA==, mapNumber=null, authorCompany=null, fund=null, authors=

胡昔权,博士,二级教授,主任医师,博士研究生导师。中山大学附属第三医院康复医学科主任。国家重点研发计划首席科学家,广东特支计划领军人才,广东省医学领军人才。中华医学会物理医学与康复学分会候任主任委员,中国康复医学会康复评定专委会主任委员,中国康复医学会神经康复专委会候任主任委员,广东省医师协会康复科医师分会主任委员等。主要从事脑损伤后认知障碍的康复及其神经可塑性机制研究。主持国家重点研发计划、国家自然科学基金等项目30余项。获广东省科技进步奖二等奖、广东医学科技奖二等奖、中国康复医学会科学技术奖一等奖。发表论文百余篇,其中SCI论文60余篇;出版教材/专著10余部,牵头执笔《中国脑卒中后认知障碍康复专家共识》。电子信箱:

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胡昔权,博士,二级教授,主任医师,博士研究生导师。中山大学附属第三医院康复医学科主任。国家重点研发计划首席科学家,广东特支计划领军人才,广东省医学领军人才。中华医学会物理医学与康复学分会候任主任委员,中国康复医学会康复评定专委会主任委员,中国康复医学会神经康复专委会候任主任委员,广东省医师协会康复科医师分会主任委员等。主要从事脑损伤后认知障碍的康复及其神经可塑性机制研究。主持国家重点研发计划、国家自然科学基金等项目30余项。获广东省科技进步奖二等奖、广东医学科技奖二等奖、中国康复医学会科学技术奖一等奖。发表论文百余篇,其中SCI论文60余篇;出版教材/专著10余部,牵头执笔《中国脑卒中后认知障碍康复专家共识》。电子信箱:

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胡昔权,博士,二级教授,主任医师,博士研究生导师。中山大学附属第三医院康复医学科主任。国家重点研发计划首席科学家,广东特支计划领军人才,广东省医学领军人才。中华医学会物理医学与康复学分会候任主任委员,中国康复医学会康复评定专委会主任委员,中国康复医学会神经康复专委会候任主任委员,广东省医师协会康复科医师分会主任委员等。主要从事脑损伤后认知障碍的康复及其神经可塑性机制研究。主持国家重点研发计划、国家自然科学基金等项目30余项。获广东省科技进步奖二等奖、广东医学科技奖二等奖、中国康复医学会科学技术奖一等奖。发表论文百余篇,其中SCI论文60余篇;出版教材/专著10余部,牵头执笔《中国脑卒中后认知障碍康复专家共识》。电子信箱:

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Specialized assessment scales for different cognitive domains

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认知域专项量表
记忆功能Rivermead行为记忆测试
语言功能波士顿命名测验
注意功能连线测验
执行功能斯特鲁普色词测验
视空间功能雷伊−奥斯特里思复杂图形测验
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不同认知域的专项评估量表

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认知域专项量表
记忆功能Rivermead行为记忆测试
语言功能波士顿命名测验
注意功能连线测验
执行功能斯特鲁普色词测验
视空间功能雷伊−奥斯特里思复杂图形测验
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Current Situation and Prospects of Multimodal Screening Assessment and Physical Factor-Based Synergistic Intervention for Cognitive Impairment
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Xiquan HU , Yuanwen LIU 1 , Liying ZHANG 1
Science and Technology Foresight | Review and Commentary 2026,5(1): 61-73
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Science and Technology Foresight | Review and Commentary 2026, 5(1): 61-73
Current Situation and Prospects of Multimodal Screening Assessment and Physical Factor-Based Synergistic Intervention for Cognitive Impairment
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Xiquan HU , Yuanwen LIU1, Liying ZHANG1
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  • 1Department of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510630, China

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Current Situation and Prospects of Multimodal Screening Assessment and Physical Factor-Based Synergistic Intervention for Cognitive Impairment
Xiquan HU , Yuanwen LIU1, Liying ZHANG1
Affiliations
  • 1Department of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510630, China
Published: 2026-03-20 doi: 10.3981/j.issn.2097-0781.20260002
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With the rapid aging of the population, the prevention and management of cognitive impairment have emerged as a critical public health issue. This paper provides a systematic review of recent advances in multimodal screening assessment and physical factor-based synergistic interventions for cognitive impairment. It summarizes the current applications of both traditional cognitive scales and digital screening tools, including computerized neuropsychological tests, mobile health applications, and multimodal behavioral sensing technologies. The review also traces the evolution of cognitive impairment assessment from standalone scales to multimodal precision assessment. It focuses on the mechanisms and potential of physical factor technologies, such as transcranial magnetic, electrical, acoustic, and optical stimulation, and their synergistic strategies in modulating neuroplasticity and enhancing cognitive function. Based on this foundation, the paper further projects future trends toward intelligent, precise, and synergistic development in this field. It systematically analyzes the challenges hindering their practical application, including issues related to standardization, mechanistic research, clinical translation, and workforce training. Corresponding recommendations are proposed to inform early identification and precise intervention for cognitive impairment.

cognitive impairment  /  multimodal screening  /  physical factor  /  neuromodulation  /  synergistic intervention

With the rapid aging of the population, the prevention and management of cognitive impairment have emerged as a critical public health issue. This paper provides a systematic review of recent advances in multimodal screening assessment and physical factor-based synergistic interventions for cognitive impairment. It summarizes the current applications of both traditional cognitive scales and digital screening tools, including computerized neuropsychological tests, mobile health applications, and multimodal behavioral sensing technologies. The review also traces the evolution of cognitive impairment assessment from standalone scales to multimodal precision assessment. It focuses on the mechanisms and potential of physical factor technologies, such as transcranial magnetic, electrical, acoustic, and optical stimulation, and their synergistic strategies in modulating neuroplasticity and enhancing cognitive function. Based on this foundation, the paper further projects future trends toward intelligent, precise, and synergistic development in this field. It systematically analyzes the challenges hindering their practical application, including issues related to standardization, mechanistic research, clinical translation, and workforce training. Corresponding recommendations are proposed to inform early identification and precise intervention for cognitive impairment.

cognitive impairment  /  multimodal screening  /  physical factor  /  neuromodulation  /  synergistic intervention
胡昔权, 刘远文, 张丽颖. 认知障碍多模态筛查评估与物理因子协同干预现状及展望[J]. 前瞻科技, 2026 , 5 (1) : 4 -147 . DOI: 10.3981/j.issn.2097-0781.20260002
Xiquan HU, Yuanwen LIU, Liying ZHANG. Current Situation and Prospects of Multimodal Screening Assessment and Physical Factor-Based Synergistic Intervention for Cognitive Impairment[J]. Science and Technology Foresight, 2026 , 5 (1) : 4 -147 . DOI: 10.3981/j.issn.2097-0781.20260002
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doi: 10.3981/j.issn.2097-0781.20260002
  • Received:2026-01-21
  • Published:2026-03-20
  • Release:2026-04-16
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  • 收稿日期:2026-01-21
  • 修回日期:2026-03-02
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国家重点研发计划(2022YFC3601200)
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    1Department of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510630, China

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胡昔权, 刘远文, 张丽颖. 认知障碍多模态筛查评估与物理因子协同干预现状及展望[J]. 前瞻科技, 2026 , 5 (1) : 4 -147 . DOI: 10.3981/j.issn.2097-0781.20260002
Xiquan HU, Yuanwen LIU, Liying ZHANG. Current Situation and Prospects of Multimodal Screening Assessment and Physical Factor-Based Synergistic Intervention for Cognitive Impairment[J]. Science and Technology Foresight, 2026 , 5 (1) : 4 -147 . DOI: 10.3981/j.issn.2097-0781.20260002
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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