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  • Publish Date:2026-07-20
NYCU, MacKay Memorial Hospital Develop Brainwave Monitoring Method for More Precise Anesthesia
Researchers from NYCU’s Institute of Brain Science and MacKay Memorial Hospital pose for a group photo.
Researchers from NYCU’s Institute of Brain Science and MacKay Memorial Hospital pose for a group photo.
 
Edited by Chance Lai
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When patients undergo general anesthesia, they lose consciousness—but does that also mean the brain stops responding to pain?

A five-year collaborative study by National Yang Ming Chiao Tung University (NYCU) and MacKay Memorial Hospital suggests the answer is more complex. Rather than simply inducing unconsciousness, effective anesthesia requires carefully balancing two distinct processes: suppressing consciousness while maintaining appropriate pain control.

The interdisciplinary research team has identified a novel electroencephalography (EEG) biomarker—known as delta–alpha phase-amplitude coupling (PAC)—that more accurately reflects the brain’s response to painful stimuli during surgery than conventional monitoring methods. The findings were published in the April issue of Anesthesiology.
 
The wearable EEG device developed by Professor Terry B.-J. Kuo and his team at NYCU’s Institute of Brain Science enables real-time brainwave monitoring during anesthesia.
The wearable EEG device developed by Professor Terry B.-J. Kuo and his team at NYCU’s Institute of Brain Science enables real-time brainwave monitoring during anesthesia.

A More Objective Measure of Pain Under Anesthesia

During surgery, anesthesiologists continuously adjust anesthetic and analgesic medications to keep patients unconscious while preventing excessive physiological stress caused by surgical stimulation.

Traditionally, these adjustments rely largely on indirect physiological indicators such as heart rate, blood pressure, pharmacological models, and clinical experience. However, because patients respond differently to surgery and anesthetic drugs, these measures cannot always accurately reflect how the brain is processing pain.

The new study demonstrates that PAC provides a more direct and objective indicator of the balance between nociception—the brain’s processing of harmful stimuli—and analgesia, enabling clinicians to optimize anesthetic dosing with greater precision.

Wearable Brainwave Device Enables Real-Time Monitoring

The study was made possible through a lightweight wearable EEG system developed by Professor Terry B.-J. Kuo and his team at NYCU’s Institute of Brain Science.

Designed specifically for the demanding environment of operating rooms, the device combines miniaturized hardware with advanced signal-processing algorithms capable of filtering surgical noise while continuously capturing high-quality brainwave signals.

According to Kuo, the system allows individualized, real-time assessment of brain activity, providing anesthesiologists with an objective reference when determining whether additional anesthetic or analgesic medication is needed.

Such precision may help reduce the risk of intraoperative awareness, postoperative delirium, and potential long-term cognitive decline—particularly among elderly patients and other high-risk surgical populations.



Toward Precision Anesthesia

Dr. Tzu-Chun Wang, senior attending anesthesiologist at MacKay Memorial Hospital and a doctoral researcher at NYCU’s Institute of Brain Science, said precision anesthesia begins well before surgery.

Before an operation, anesthesiologists evaluate factors including a patient’s age, medical history, medications, allergies, and surgical procedure to determine an individualized anesthesia plan. During surgery, medications are continuously adjusted based on physiological monitoring, while postoperative recovery is supported through Enhanced Recovery After Surgery (ERAS) protocols involving multidisciplinary teams including surgeons, nurses, and nutrition specialists.

The newly identified PAC biomarker adds another layer of objective information, helping clinicians better distinguish between adequate unconsciousness and adequate pain control—two physiological states that are often assumed to occur together but are governed by different neural mechanisms.

Engineering Medicine Driving Clinical Innovation

Speaking on behalf of the collaborative project, NYCU President Chi-Hung Lin said advances in medical technology continue to expand the possibilities for understanding one of science’s greatest frontiers—the human brain.

“This collaboration exemplifies the spirit of Engineering Medicine by bringing together engineering, neuroscience, and clinical medicine,” Lin said. “Through close integration across disciplines, we are gaining deeper insight into how the brain functions and creating technologies that can improve patient care.”

Mackay Memorial Hospital Superintendent Wen-Han Chang emphasized that anesthesiologists play a critical role throughout surgery, noting that even small adjustments in medication dosage require careful judgment and extensive clinical expertise to ensure both patient safety and surgical success.

Expanding Beyond the Operating Room

Building on their long-standing collaboration, NYCU and Mackay Memorial Hospital are continuing to translate neuroscience research into clinical practice.

The team is now extending the wearable brainwave monitoring technology to intensive care settings, where objective brain activity measurements may further improve the management and neurological outcomes of critically ill patients.

As precision medicine continues to reshape modern healthcare, the researchers believe brain-guided anesthesia represents an important step toward safer, more personalized surgical care.

Dr. Tzu-Chun Wang (right) and Professor Terry B.-J. Kuo, whose teams collaborated on the precision anesthesia study.Dr. Tzu-Chun Wang (right) and Professor Terry B.-J. Kuo, whose teams collaborated on the precision anesthesia study.
 
文圖/公關組
編譯/國際宣傳辦公室 


病人在手術中因麻醉而沈沈睡去,就會失去對疼痛的感覺嗎?最新的研究顯示,完美精準的手術中麻醉,要在「失去意識」與「調控疼痛」中求取平衡,才能讓大腦無意識下進行手術,也達到較佳的止痛平衡。

本校與馬偕紀念醫院共同發表這項歷時五年跨越醫學與研發團隊的研究成果,麻醉醫師以微型穿戴式腦波儀監測麻醉腦部狀態。研究發現比現行麻醉指標,「delta-alpha Phase Amplitude Coupling」(簡稱PAC)更能精準反映麻醉中大腦在「傷害感受(Nociception)」和疼痛控制(Analgeisa)下的平衡狀態,有助麻醉醫師精準掌握麻醉與止痛的藥物調控,該研究成果並榮登4月頂尖國際期刊「麻醉學」《Anesthesiology》。
手術時的麻醉是怎麼讓病人失去意識的?病人在麻醉情況下,是不是因為「無意識」就忘了「疼痛」?拜醫療技科的進步,這些難解的麻醉之謎,在研究團隊的努力下有了嶄獲。

醫學院腦科學研究所博士王資竣,同時也是馬偕紀念醫院麻醉部資深主治醫師表示,精準麻醉第一步仰賴術前詳細的麻醉評估,麻醉醫師根據病人的年齡、既有疾病、固定用藥、過敏史以及手術類型等,規劃適合病人的麻醉方式。手術中透過各類監測工具,隨時調整麻醉與止痛藥物的平衡,術後則結合加速康復(ERAS)跨領域整合照護模式,與外科、護理、營養等團隊合作減少病人手術壓力與併發症,減輕術後不適,促進恢復並縮短住院天數。

王資竣表示,傳統麻醉醫師要瞭解病人是否處於足夠的麻醉深度,主要是藉由監測病人脈搏、血壓等生理訊號,並結合藥物動力學等知識以及臨床經驗判斷止痛是否足夠。當麻醉醫師監測術中的患者心跳上升、血壓升高等表徵波動時,則會調整麻醉與止痛用藥。但臨床往往因個體差異大和術式不同,傳統做法難以達到精準的麻醉與止痛用藥。

為了達到麻醉安全,取得病人在麻醉與止痛間的完美平衡,此次利用本校研發的腦波儀,透過監測數據指標PAC,精準反映大腦對疼痛刺激的反應,提供麻醉醫師更客觀的判斷依據,做為調整藥物的標準。
 



由醫學院腦科學研究所教授郭博昭率團隊研發的「穿戴式腦波儀」,是一種輕量化穿戴裝置與頂尖演算法的結合,郭博昭表示,在克服手術室多變環境及雜訊干擾的情況下,穩定收集患者腦波訊號並進行分析,透過精準個別化監測,作為麻醉醫師給予追加藥物的客觀指標,降低術中清醒風險,減少術後瞻妄及可能的腦部退化,對高風險族群的手術安全提供更多保障。

陽明交大校長林奇宏表示,醫療科技近年快速發展,然而人類對大腦運作機制的理解仍是神經科學與醫學持續探索的重要課題。這次的合作,充分展現工程醫學(Engineering Medicine)的跨領域整合精神,透過工程、醫學與臨床應用的緊密結合,有助於深化對大腦運作機制的理解,逐步揭開腦科學的面紗。

馬偕紀念醫院總院長張文瀚表示,麻醉醫師是手術團隊中非常重要且關鍵的角色,每一個藥物劑量的調整都是「失之毫釐差之千里」,得靠專業醫師非常精準的拿捏與充分的經驗,才能協助手術的完成。

多數人以為,全身麻醉就是「睡著」,病人睡得夠深,手術就能順利完成。但近年來國際麻醉醫學逐漸朝向病人從術前、術中、術後的腦部健康與精準麻醉的照護模式,以病人安全為前提,強調維護病人腦部健康,兼顧精準止痛,麻醉用藥更精準,降低麻醉與手術對大腦可能造成的影響。

馬偕與陽明交大長期推動產學合作,從麻醉醫學、腦科學到臨床照護,持續推動將研究成果轉譯至臨床應用。目前也正將腦波監測技術研究推展至加護病房照護,希望透過更多客觀指標,提升重症病人的照護品質。

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