Journal of Zhejiang University

Journal of Zhejiang University SCIENCE B

Accepted manuscript available online (unedited version)

Infra-slow body-surface potentials show a group-level association with thyroid cancer

Author(s): Bohan DENG, Ruili ZHANG, Yuxuan LIU, Jinglao LIN, Shicong GUI, Xihao WEI, Yin CHENG, Li ZHENG, Shaohua HU, Pingping LYU, Yubo LI, Huafen WANG
Affiliation(s): College of Information Science and Electronic Engineering, Zhejiang University,Hangzhou310027,China; more
Corresponding email(s): lilinear@zju.edu.cn, 2185015@zju.edu.cn
Key Words: Infra-slow potentials, Body-surface potential, Thyroid cancer, Electrodermal signal, Machine Learning

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Bohan DENG, Ruili ZHANG, Yuxuan LIU, Jinglao LIN, Shicong GUI, Xihao WEI, Yin CHENG, Li ZHENG, Shaohua HU, Pingping LYU, Yubo LI, Huafen WANG. Infra-slow body-surface potentials show a group-level association with thyroid cancer[J]. Journal of Zhejiang University Science B,in press.Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/jzus.B2600040

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author="Bohan DENG, Ruili ZHANG, Yuxuan LIU, Jinglao LIN, Shicong GUI, Xihao WEI, Yin CHENG, Li ZHENG, Shaohua HU, Pingping LYU, Yubo LI, Huafen WANG",
journal="Journal of Zhejiang University Science B",
year="in press",
publisher="Zhejiang University Press & Springer",
doi="https://doi.org/10.1631/jzus.B2600040"
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%A Bohan DENG
%A Ruili ZHANG
%A Yuxuan LIU
%A Jinglao LIN
%A Shicong GUI
%A Xihao WEI
%A Yin CHENG
%A Li ZHENG
%A Shaohua HU
%A Pingping LYU
%A Yubo LI
%A Huafen WANG
%J Journal of Zhejiang University SCIENCE B
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A1 - Shicong GUI
A1 - Xihao WEI
A1 - Yin CHENG
A1 - Li ZHENG
A1 - Shaohua HU
A1 - Pingping LYU
A1 - Yubo LI
A1 - Huafen WANG
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Abstract
Chinese Summary
Academic Network
Reviewer Comment

Abstract: Thyroid cancer is a common malignancy with broad systemic endocrine and metabolic effects (Hammond et al., 2024). Regarding diagnostics, if infra-slow body-surface potential (BSP) features reflect a systemic state, then this type of cancer is a reasonable clinical test case. Prior electrodermal work has focused on faster transients above 0.5 Hz (Boucsein, 2012; Posada-Quintero and Chon, 2020), and task-state skin potential abnormalities have been shown to distinguish mood disorders from healthy controls (Lyu et al., 2024). We concentrated on an infra-slow band from 0.025 to 0.2 Hz, called Band 1 herein. We evaluated whether infra-slow features carry reproducible group-level information when artifacts are explicitly controlled, with one pre-specified primary endpoint. “Separable” here means a group-level statistical difference, not individual-level diagnosis. In a cohort of 321 cancer patients, Band 1 energy showed a clear group-level association with thyroid cancer, which persisted after automated quality control (QC) and under stricter artifact-removal settings.

超慢体表电位与甲状腺癌的组水平关联

邓博瀚^{1, 3}，张瑞丽^{4, 5}，刘昱绚¹，林敬珞¹，桂世聪¹，魏希浩¹，成荫^{4, 5}，郑力^{4, 5}，胡少华^{4, 5}，吕萍萍^{4, 5}，李宇波^{1, 2, 3}，王华芬^{4, 5}
¹浙江大学信息与电子工程学院，中国杭州， 310027
²浙江省智能康复与转化神经电子学重点实验室，中国杭州， 310027
³浙江大学信息与电子工程国际研究中心，中国海宁， 314400
⁴浙江大学医学院附属第一医院护理部，中国杭州， 310003
⁵数理心理健康浙江省工程研究中心，中国杭州， 310003
摘要：既往皮电活动研究多聚焦于0.5 Hz以上的快速瞬变成分，而0.2 Hz以下的超慢频段是否携带与系统性疾病相关的生物电信息，目前尚缺乏充分探索。甲状腺癌兼具内分泌与代谢系统效应，是检验超慢体表电位与机体全身状态之间关系的理想临床模型。本研究通过自研CTP008高阻抗直流耦合采集系统，在321例恶性肿瘤患者（甲状腺癌82例，其他癌种239例）中完整保留了0.025-0.2 Hz超慢频段（Band 1）的振荡与稳态基线信息，并预先指定甲状腺癌组与其他癌种组之间的Band 1能量差异为唯一主要终点。经三阶段自动化质量控制排除5例高伪迹受试者后（最终316例），Mann-Whitney U检验显示甲状腺癌患者的Band 1能量显著高于其他癌种患者（中位数9.23 vs. 6.23，P=0.0014）。在逐步加严伪迹剔除阈值的敏感性分析中，该效应不仅未被削弱，反而略有增强，从而排除了伪迹驱动的解释。值得关注的是，信号采集位点位于手指与手腕，远离甲状腺本身，这一空间分离提示所观测到的差异更可能源于全身性代谢或自主神经状态的改变。本研究为超慢体表电位作为肿瘤系统状态非侵入性标志物提供了初步证据，并揭示了直流耦合生物传感技术在临床转化中的潜在价值。

关键词组：超慢电位；体表电位；直流耦合采集；甲状腺癌；系统性生物标志物；信号质量控制

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]BoucseinW,2012.Electrodermal Activity.2nd Ed. Springer, New York, USA.

[2]HammondNG,CameronRB,FaubertB,2024.Beyond glucose and Warburg: finding the sweet spot in cancer metabolism models.npj Metab Health Dis,2:11.

[3]LyuHL,HuangHM,HeJD,et al.,2024.Task-state skin potential abnormalities can distinguish major depressive disorder and bipolar depression from healthy controls.Transl Psychiatry,14:110.

[4]Posada-QuinteroHF,ChonKH,2020.Innovations in electrodermal activity data collection and signal processing: a systematic review.Sensors,20(2):479.

[5]ZhangL,XingSC,YinHF,et al.,2024.Skin-inspired, sensory robots for electronic implants.Nat Commun,15:4777.

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