纺织学报 ›› 2026, Vol. 47 ›› Issue (07): 160-168.doi: 10.13475/j.fzxb.20251104601

• 纺织工程 • 上一篇    下一篇

织物接触冷暖感诱发的大脑相关电位研究

苑洁1,2,3, 朱芸嘉2, 许昌亮4, 娄琳1,2,3()   

  1. 1 浙江理工大学 浙江省丝绸与时尚文化研究中心, 浙江 杭州 310018
    2 浙江理工大学 服装学院, 浙江 杭州 310018
    3 浙江理工大学 丝绸文化传承与产品设计数字化技术文化和旅游部重点实验室, 浙江 杭州 310018
    4 中联品检技术服务有限公司, 上海 201616
  • 收稿日期:2025-11-17 修回日期:2026-03-11 出版日期:2026-07-15 发布日期:2026-07-29
  • 通讯作者: 娄琳(1983—),女,教授,博士。主要研究方向为纺织服装材料结构、功能、舒适性表征及产品研发。E-mail:loulin@zstu.edu.cn
  • 作者简介:苑洁(1993—),女,特聘副教授,博士。主要研究方向为纺织品触觉舒适度脑感知表征。
  • 基金资助:
    国家自然科学基金项目(52003245);浙江省教育厅科研项目基金项目(Y202558232);浙江理工大学基本科研业务费专项资金资助项目(26076088-Y)

Research on brain related potentials evoked by sensation warm and cold from fabric contact

YUAN Jie1,2,3, ZHU Yunjia2, XU Changliang4, LOU Lin1,2,3()   

  1. 1 Silk and Fashion Culture Research Center of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China
    2 School of Fashion Design & Engineering, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China
    3 Key Laboratory of Silk Culture Heritage and Products Design Digital Technology, Ministry of Culture and Tourism, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China
    4 United Testing Services Co., Ltd., Shanghai 201616, China
  • Received:2025-11-17 Revised:2026-03-11 Published:2026-07-15 Online:2026-07-29

摘要:

针对织物接触冷暖感在人体大脑神经电生理学上的感知表征问题,采用事件相关电位技术,招募健康受试者,分别施加不同接触冷感强度的织物刺激,并同步采集大脑皮层体觉功能脑区的脑电信号。通过离线分析提取刺激后诱发的特征神经电位成分,重点考察不同冷感强度对体觉功能脑区的影响规律。研究结果显示:当人体一侧受到织物接触冷感刺激时,在300 ms左右出现的P300电位的激活反应最大,且在触觉刺激的对侧和中间脑区呈现正激活反应,而在同侧呈现负激活反应。对侧及中间脑区的P300电位波幅、同侧脑区的P300电位波幅分别与接触冷感值呈高度正相关和高度负相关的线性关系。但是,由于感知后效的影响,P300电位的潜伏期并非随接触冷感值的增加而线性缩短,而是左右脑以不规则波动速度缩短,中间脑区则相对稳定,以单指数衰减速度缩短。本研究揭示了织物接触冷感在大脑中枢加工中的时空动态特征及其偏侧化神经机制,为智能织物设计与热舒适评价提供了神经科学依据。

关键词: 织物舒适度, 接触冷暖感, 事件相关电位, 大脑感知, 体觉功能脑区

Abstract:

Objective The perception mechanism and quantitative characterization of human physiological comfort stimulated by fabric was always one of the difficult problems in the field of textile and garment, but there was still a lack of systematic research on the connection structure between fabric materials and human perception through neural electrophysiological response. Therefore, this research is purposed to study the potential components of somatosensory brain region evoked by fabric tactile were analyzed in detail, so as to improve the neurophysiological mechanism of perceptual science, and provide theoretical reference and research approaches for dynamic, in-situ and quantified comfort characterization of textile materials.

Method The tactile properties of cold and warm sensations of textiles were tested by KES-FB7 system, and event-related potentials technology was employed, which is a non-invasive and high time resolution brain monitoring technology based on electrophysiological reaction. In a relatively quiet experimental environment, the EEG of 20 young volunteers under tactile stimuli from fabrics with different cold and warm sensations was monitored and analyzed by using event-related potentials technology. The contact comfort of the fabric was verified through a subjective questionnaire survey.

Results Based on the results of physical tests and subjective questionnaire surveys, the contact comfort perception results of the fabric's cold and warm sensations obtained by the two methods were highly consistent (Pearson correlation coefficient r=0.98, p=0.00<0.05). Among them, the contact cold sensation (Qmax) value of the silk fabric sample (4#) was the largest, and the Qmax value of the double-sided plush fabric sample (7#) was the smallest, respectively, determining them as representative cold-sensing fabric and representative warm-sensing fabric. According to the analysis of the brain electrical activity map, it was found that the response intensity of the brain at 300 ms after receiving the fabric tactile stimulation was the highest. Therefore, the P300 potential was established as the characteristic potential for perceiving the contact cold and warm sensations of the fabric for analysis. The statistical analysis of the amplitude and latency of the characteristic potential results showed that the contralateral brain region and the middle brain region presented positive potential activation responses, while the ipsilateral brain region presented negative potential activation responses. The P300 potential amplitude evoked by the representative cold-sensing fabric was the largest, and the latency was the shortest. The P300 potential amplitude evoked by the representative warm-sensing fabric was the smallest, and the latency was the longest. Moreover, there were significant differences between the two. The correlation analysis results showed that the P300 potential amplitude was highly linearly correlated with the fabric's Qmax value, but in terms of latency, as the Qmax value increased, the latencies of both sides of the brain region shortened irregularly at a fluctuating speed, while the latency of the middle brain region remained relatively stable and shortened at a single exponential decay degree.

Conclusion Because of the asymmetry of the neural transmission pathways for tactile information, the activation responses of the two hemispheres of the brain were opposite. Moreover, as the Qmax value of the fabric increased, the intensity of the stimulation to the human body also increased, and the activation intensity of the brain regions responsible for somatosensory function also increased linearly, manifested as a linear increase in the P300 potential amplitudes. The latency of the P300 potential was usually considered as a time index providing the duration of perception processing. Some studies had also shown that the latency of P300 in the CZ brain region was related to overall cognitive function, showing that as the degree of cold sensation stimulation by the fabric increased, the reaction speed of the human brain increased, resulting in a shortened latency. However, because of the perceptual aftereffect caused by neuronal adaptive fatigue, the human brain reaction exhibited certain delays, lags, and adaptability, leading to a buffering effect on the speed of the P300 potential latency shortening. In short, when the Qmax value began to increase, the brain reacted quickly to the stimulus; but when the Qmax value continued to increase, the reaction time of the brain to tactile stimuli still shortened, but the rate of shortening slowed down.

Key words: fabric comfort, cold and warm sensation, event-related potential, brain perception, somatosensory brain region

中图分类号: 

  • TS941.19

表1

织物规格参数"

织物编号 织物名称 成分 组织结构
1# 纯棉布 100%棉 平纹
2# 棉麻布 55%棉、45%亚麻 平纹
3# 法兰呢 90%亚麻、10%粘胶纤维 平纹
4# 蚕丝 100%桑蚕丝 平纹
5# 雨丝布 100%莱赛尔 平纹
6# 人棉布 100%粘胶纤维 平纹
7# 双面绒布 100%涤纶 平纹
8# 竹纤维布 100%竹浆纤维 平纹

图1

实验处理流程"

图2

织物试样Qmax值和主观评价实验结果"

图3

脑电活动地形图"

表2

各织物试样冷暖感诱发的特征电位成分P300的波幅和潜伏期"

织物 C3 C1 CZ C2 C4
波幅/μV 潜伏期/ms 波幅/μV 潜伏期/ms 波幅/μV 潜伏期/ms 波幅/μV 潜伏期/ms 波幅/μV 潜伏期/ms
1# -5.377 322 -4.108 321 8.320 315 7.326 315 6.355 380
2# -5.536 334 -6.375 288 6.375 288 7.101 288 5.460 287
3# -3.195 302 -4.376 300 5.479 299 5.974 300 5.974 301
4# -16.450 300 -17.890 299 17.393 297 14.924 297 9.198 297
5# -8.511 342 -7.736 342 7.531 273 9.072 323 7.293 319
6# -14.638 290 -13.111 292 12.448 298 9.038 299 7.556 302
7# -1.403 392 -0.883 394 0.282 397 0.934 397 1.114 396
8# -9.088 271 -8.702 269 10.379 270 8.366 362 8.233 362

图4

各织物试样接触刺激下体觉功能脑区各电极处的波幅和潜伏期"

表3

代表性织物特征诱发电位波幅的多重比较结果"

试样I 试样J 平均差
(I-J)
标准
错误
显著性 95%置信区间
下限 上限
4# 1# 8.972* 1.044 0.000 6.86 11.08
2# 8.826* 1.044 0.000 6.72 10.94
3# 10.673* 1.044 0.000 8.56 12.78
5# 7.471* 1.044 0.000 5.36 9.58
6# 3.906* 1.044 0.001 1.80 6.01
7# 14.651* 1.044 0.000 12.54 16.76
8# 6.316* 1.044 0.000 4.21 8.43
7# 1# -5.679* 1.044 0.000 -7.79 -3.57
2# -5.825* 1.044 0.000 -7.93 -3.72
3# -3.978* 1.044 0.000 -6.09 -1.87
4# -14.651* 1.044 0.000 -16.76 -12.54
5# -7.180* 1.044 0.000 -9.29 -5.07
6# -10.745* 1.044 0.000 -12.85 -8.64
8# -8.335* 1.044 0.000 -10.44 -6.23

表4

代表性织物特征诱发电位潜伏期的多重比较结果"

试样I 试样J 平均差
(I-J)
标准
错误
显著性 95%置信区间
下限 上限
4# 1# -24.333 13.628 0.082 -51.88 3.21
2# 2.167 13.628 0.874 -25.38 29.71
3# -2.500 13.628 0.855 -30.04 25.04
5# -26.000 13.628 0.064 -53.54 1.54
6# 1.667 13.628 0.903 -25.88 29.21
7# -98.000* 13.628 0.000 -125.54 -70.46
8# -2.667 13.628 0.846 -30.21 24.88
7# 1# 73.667* 13.628 0.000 46.12 101.21
2# 100.167* 13.628 0.000 72.62 127.71
3# 95.500* 13.628 0.000 67.96 123.04
4# 98.000* 13.628 0.000 70.46 125.54
5# 72.000* 13.628 0.000 44.46 99.54
6# 99.667* 13.628 0.000 72.12 127.21
8# 95.333* 13.628 0.000 67.79 122.88

图5

织物冷暖感主观评价、冷感值与特征电位成分波幅和潜伏期的Pearson相关系数图 注:*表示在置信度(双侧)为 0.05 时,相关性是显著的。"

图6

织物冷感值与体觉功能脑区特征电位P300的波幅和潜伏期的拟合图"

[1] ASHTON K, ZINSZER B D, CICHY R M, et al. Time-resolved multivariate pattern analysis of infant EEG data: a practical tutorial[J]. Developmental Cognitive Neuroscience, 2022, 54: 101094.
doi: 10.1016/j.dcn.2022.101094
[2] MIRAGLIA F, PAPPALETTERA C, DI IENNO S, et al. The effects of directional and non-directional stimuli during a visuomotor task and their correlation with reaction time: an ERP study[J]. Sensors, 2023, 23(6): 3143.
doi: 10.3390/s23063143
[3] CHEN S, HUANG Q, YANG C Z, et al. Study of event-related potentials by withdrawal friction on the fingertip[J]. Skin Research and Technology, 2023, 29: e13232.
[4] 苑洁, 翟淑娜, 娄琳, 等. 基于事件相关电位技术的织物舒适度研究进展[J]. 纺织学报, 2023, 44(6): 225-231.
YUAN Jie, ZHAI Shu'na, LOU Lin, et al. Research progress in fabric comfort based on event-related potential technique[J]. Journal of Textile Research, 2023, 44(6): 225-231.
doi: 10.1177/004051757404400315
[5] 唐玮, 张梅梅, 杨雷, 等. 粗糙表面的摩擦触觉感知研究[J]. 摩擦学学报, 2022, 42(4): 764-774.
TANG Wei, ZHANG Meimei, YANG Lei, et al. Tactile perception of rough surface using friction and electroencephalography methods[J]. Tribology, 2022, 42(4): 764-774.
[6] CHEN S, GE S R. Experimental research on the tactile perception from fingertip skin friction[J]. Wear, 2017, 376: 305-314.
[7] 陈思, 葛世荣, 时晓露, 等. 摩擦诱发的事件相关电位认知成分特征研究[J]. 摩擦学学报(中英文), 2015, 35(5): 538-542.
CHEN Si, GE Shirong, SHI Xiaolu, et al. Perception component of event related potentials evoked by friction[J]. Tribology, 2015, 35(5): 538-542.
[8] 刘陶峰, 李一员, 李炜, 等. 确定性纹理表面特征高度对皮肤摩擦感知的影响[J]. 西南交通大学学报, 2020, 55(2): 372-378.
LIU Taofeng, LI Yiyuan, LI Wei, et al. Influence of surface feature height of deterministic texture on tactile perception of fingertip[J]. Journal of Southwest Jiaotong University, 2020, 55(2): 372-378.
[9] 夏羽. 基于神经电生理学的丝织物触感评价和认知研究[D]. 苏州: 苏州大学, 2017: 28-32.
XIA Yu. Tactile evaluation and cognitive study of silk fabrics based on neurophysiology[D]. Suzhou: Soochow University, 2017: 28-32.
[10] LIU Y, WANG W J, XU W G, et al. Quantifying the generation process of multi-level tactile sensations via ERP component investigation[J]. International Journal of Neural Systems, 2021, 31(12): 2150049.
doi: 10.1142/S0129065721500490
[11] MENA C I, LANG K D, GHERRI E. Electrophysiological correlates of attentional selection in tactile search tasks: the impact of singleton distractors on target selection[J]. Psychophysiology, 2020, 57(9): e13592.
doi: 10.1111/psyp.v57.9
[12] RIGATO S, BREMNER A J, GILLMEISTER H, et al. Interpersonal representations of touch in somatosensory cortex are modulated by perspective[J]. Biological Psychology, 2019, 146: 107719.
doi: 10.1016/j.biopsycho.2019.107719
[13] 张岳兰, 陈春云, 王浩, 等. 纺织品瞬间接触冷暖感测试研究与探讨[J]. 上海纺织科技, 2024, 52(7): 60-63.
ZHANG Yuelan, CHEN Chunyun, WANG Hao, et al. Research and discussion on instantaneous contact cold and warm sensation of textiles[J]. Shanghai Textile Science & Technology, 2024, 52(7): 60-63.
[14] 王永华, 姜利利. 凉感纺织品的检测方法和评价方案分析[J]. 中国纤检, 2024(7): 54-57.
WANG Yonghua, JIANG Lili. Testing methods and evaluation scheme of cool-feeling textiles[J]. China Fiber Inspection, 2024(7): 54-57.
[15] DELORME A, MULLEN T, KOTHE C, et al. EEGLAB, SIFT, NFT, BCILAB, and ERICA: new tools for advanced EEG processing[J]. Computational Intelligence and Neuroscience, 2011, 2011(1): 130714.
[16] DELORME A, MAKEIG S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis[J]. Journal of Neuroscience Methods, 2004, 134(1): 9-21.
doi: 10.1016/j.jneumeth.2003.10.009 pmid: 15102499
[17] BODE S, FEUERRIEGEL D, BENNETT D, et al. The decision decoding ToolBOX (DDTBOX): a multivariate pattern analysis toolbox for event-related potentials[J]. Neuroinformatics, 2019, 17(1): 27-42.
doi: 10.1007/s12021-018-9375-z
[18] 程学梅, 崔园. 用EEGLAB分析脑电信号[J]. 计算机与数字工程, 2014, 42(10): 1967-1970.
CHENG Xuemei, CUI Yuan. EEGLAB analysis of EEG signals[J]. Computer & Digital Engineering, 2014, 42(10): 1967-1970.
[19] KNYAZEV G G. Comparison of spatial and temporal independent component analyses of electroencephalographic data: a simulation study[J]. Clinical Neurophysiology, 2013, 124(8): 1557-1569.
doi: 10.1016/j.clinph.2013.02.011 pmid: 23535453
[20] ELMAGD ELKHOLY O, ABDELDAYEM H, BADAWY A. Brain electrical activity mapping in the diagnosis of attention-deficit hyperactivity disorder[J]. Egyptian Journal of Psychiatry, 2020, 41(1): 7.
doi: 10.4103/ejpsy.ejpsy_18_19
[21] 孟花, 冯爱芬. 织物结构和性能对接触冷暖感的影响[J]. 毛纺科技, 2020, 48(8): 38-41.
MENG Hua, FENG Aifen. Influence of fabric structure and fabric correlation on contacting cool and warm feeling[J]. Wool Textile Journal, 2020, 48(8): 38-41.
[22] ENAX-KRUMOVA E, ATTAL N, BOUHASSIRA D, et al. Contralateral sensory and pain perception changes in patients with unilateral neuropathy[J]. Neurology, 2021, 97(4): 389-402.
doi: 10.1212/WNL.0000000000012238
[23] PANG Y H, LIM S H. Fine margin between crossed sensory and contralateral sensory loss: a case report[J]. Journal of Clinical Neuroscience, 2018, 56: 188-191.
doi: S0967-5868(18)30441-7 pmid: 29937417
[24] LI X M, CAI H J, LI F C, et al. Physical exercise on cortical brain activity in patients with mild cognitive impairment: a meta-analysis[J]. Medicine, 2024, 103(35): e39452.
doi: 10.1097/MD.0000000000039452
[25] CHEN X, XIU H Q, HOU Y F, et al. High-frequency repetitive transcranial magnetic stimulation on overall cognition in patients with poststroke cognitive impairment: a systematic review and meta-analysis[J]. American Journal of Physical Medicine & Rehabilitation, 2024, 103(5): 418-427.
[26] 翟淑娜, 苑洁, 娄琳. 事件相关电位技术在织物触觉舒适度评价中的研究进展[J]. 现代纺织技术, 2023, 31(1): 73-81.
doi: 10.19398/j.att.202203070
ZHAI Shuna, YUAN Jie, LOU Lin. Research progress of ERPs technology in fabric tactile comfort evaluation[J]. Advanced Textile Technology, 2023, 31(1): 73-81.
doi: 10.19398/j.att.202203070
[27] 徐沛韬, 魏伟, 赵雨晴, 等. 卒中后认知障碍患者认知功能的事件相关电位研究[J]. 康复学报, 2024, 34(3): 217-224, 232.
XU Peitao, WEI Wei, ZHAO Yuqing, et al. Event-related potential study of cognitive functions in patients with post-stroke cognitive impairment[J]. Rehabilitation Medicine, 2024, 34(3): 217-224, 232.
doi: 10.3724/SP.J.1329.2024.03010
[28] LEUTHOLD H, SOMMER W. Postperceptual effects and P300 latency[J]. Psychophysiology, 1998, 35(1): 34-46.
pmid: 9499704
[29] YE C X, GUO L J, WANG N, et al. Perceptual encoding benefit of visual memorability on visual memory formation[J]. Cognition, 2024, 248: 105810.
doi: 10.1016/j.cognition.2024.105810
[30] LAZAR-KURZ Z, AZIZ J, MCKEARNEY K J, et al. Age-related changes to electroencephalographic markers of visuomotor error processing and learning in prism adaptation[J]. Neuropsychologia, 2023, 184: 108546.
doi: 10.1016/j.neuropsychologia.2023.108546
[31] SIRCAR S, GAUTAM S, TANDON O P. Post-task P3-changes following a brief, rigorous visual task indicate individual differences in the task-specific ability[J]. Indian journal of physiology and pharmacology, 2004, 48(3): 311-320.
pmid: 15648403
[32] SCHAPKIN S A, FALKENSTEIN M, MARKS A, et al. Noise aftereffects and brain processes: mediating role of achievement motivation[J]. Journal of Psychophysiology, 2007, 21(1): 1-8.
doi: 10.1027/0269-8803.21.1.1
[1] 苑洁, 翟淑娜, 娄琳, 王其才, 雷雨田. 基于事件相关电位技术的织物舒适度研究进展[J]. 纺织学报, 2023, 44(06): 225-231.
[2] 苑洁, 娄琳, 王其才. 织物触觉舒适度大脑感知技术研究进展[J]. 纺织学报, 2022, 43(09): 211-217.
[3] 苑洁 于伟东 陈克敏. 基于功能磁共振的织物接触压舒适度脑感知研究进展[J]. 纺织学报, 2017, 38(10): 146-152.
[4] 吕佳, 陈东生. 情绪的事件相关电位在服装设计中的应用[J]. 纺织学报, 2012, 33(2): 151-156.
[5] 张如全;周双喜;;陶荣;林建勇. 基于单片机织物动态热传递性能测试装置[J]. 纺织学报, 2011, 32(3): 122-126.
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