Current Opinion in Biomedical Engineering最新文献

英文中文

Photonic crystal colorimetric sensing in heart-on-a-chip systems

IF 4.7 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2025-01-20 DOI: 10.1016/j.cobme.2025.100578

Lingyu Sun , Yile Fang , Yu Wang , Feika Bian , Yuanjin Zhao

As an emerging modeling platform for cardiac cells and tissues, heart-on-a-chip systems have aroused great interest and made remarkable progress in recent decades. To expand the practical values of such microphysiological systems, various biosensing modules have been integrated into microfluidic chips to realize real-time monitoring of cardiomyocytes or cardiac tissues under different stimulations. Among them, photonic crystal colorimetric sensors are popular because of their intrinsic biocompatibility, visual characteristics, and lack of need for complex instrumentation. In this review, we will provide an overview of research concerning heart-on-a-chip systems integrated with photonic crystal colorimetric sensors, ranging from the natural structural colors, the fabrication of artificial photonic crystal materials, to their colorimetric sensing principle. The emphasis will be put on how the photonic crystal colorimetric sensors address the current limitations of heart-on-a-chip systems through visual optical signals and thus expand their biomedical applications. Finally, the remaining challenges of colorimetric sensing strategy will be summarized, with its future directions for organs-on-chips being discussed.

{"title":"Photonic crystal colorimetric sensing in heart-on-a-chip systems","authors":"Lingyu Sun , Yile Fang , Yu Wang , Feika Bian , Yuanjin Zhao","doi":"10.1016/j.cobme.2025.100578","DOIUrl":"10.1016/j.cobme.2025.100578","url":null,"abstract":"<div><div>As an emerging modeling platform for cardiac cells and tissues, heart-on-a-chip systems have aroused great interest and made remarkable progress in recent decades. To expand the practical values of such microphysiological systems, various biosensing modules have been integrated into microfluidic chips to realize real-time monitoring of cardiomyocytes or cardiac tissues under different stimulations. Among them, photonic crystal colorimetric sensors are popular because of their intrinsic biocompatibility, visual characteristics, and lack of need for complex instrumentation. In this review, we will provide an overview of research concerning heart-on-a-chip systems integrated with photonic crystal colorimetric sensors, ranging from the natural structural colors, the fabrication of artificial photonic crystal materials, to their colorimetric sensing principle. The emphasis will be put on how the photonic crystal colorimetric sensors address the current limitations of heart-on-a-chip systems through visual optical signals and thus expand their biomedical applications. Finally, the remaining challenges of colorimetric sensing strategy will be summarized, with its future directions for organs-on-chips being discussed.</div></div>","PeriodicalId":36748,"journal":{"name":"Current Opinion in Biomedical Engineering","volume":"34 ","pages":"Article 100578"},"PeriodicalIF":4.7,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

3M engineering approaches to combat high-shear thrombosis: Integrating modeling, microfluidics, and mechanobiology

IF 4.7 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2025-01-08 DOI: 10.1016/j.cobme.2025.100576

Allan Sun , Arian Nasser , Nicole Alexis Yap , Rui Gao , Lining Arnold Ju

Arterial thrombosis remains a significant global health concern, with shear-induced platelet aggregation (SIPA) playing a crucial role. This review focuses on the integration of three key engineering approaches—Computational Modeling Microfluidics and Mechanobiology (3 M)—in understanding and combating high-shear thrombosis. We discuss the biomechanical mechanisms of SIPA, highlighting how platelet mechanoreceptors and von Willebrand factor interactions drive thrombosis under pathological flow conditions. Through computational fluid dynamics (CFD), key hemodynamic metrics including time-averaged wall shear stress, oscillatory shear index, and relative residence time have been developed to predict thrombosis risk. Microfluidic platforms, ranging from straight channels to stenotic geometries, provide insights into platelet behavior under various shear conditions while enabling rapid screening of antithrombotic therapies. The integration of these experimental approaches with CFD analysis offers powerful tools for predicting thrombosis risk and optimizing device designs, particularly in mechanical circulatory support devices (MCSDs). Recent advances in mechanobiology have revealed how mechanical forces trigger cellular responses through membrane damage and mechanosensitive channels, offering new therapeutic targets. This review underscores how the synergy between these 3 M engineering approaches advances our understanding of the complex interplay between hemodynamics and thrombosis, paving the way for improved antithrombotic therapies and medical device designs essential to optimizing MCSDs, such as left ventricular assist devices and extracorporeal membrane oxygenators.

{"title":"3M engineering approaches to combat high-shear thrombosis: Integrating modeling, microfluidics, and mechanobiology","authors":"Allan Sun , Arian Nasser , Nicole Alexis Yap , Rui Gao , Lining Arnold Ju","doi":"10.1016/j.cobme.2025.100576","DOIUrl":"10.1016/j.cobme.2025.100576","url":null,"abstract":"<div><div>Arterial thrombosis remains a significant global health concern, with shear-induced platelet aggregation (SIPA) playing a crucial role. This review focuses on the integration of three key engineering approaches—Computational Modeling Microfluidics and Mechanobiology (3 M)—in understanding and combating high-shear thrombosis. We discuss the biomechanical mechanisms of SIPA, highlighting how platelet mechanoreceptors and von Willebrand factor interactions drive thrombosis under pathological flow conditions. Through computational fluid dynamics (CFD), key hemodynamic metrics including time-averaged wall shear stress, oscillatory shear index, and relative residence time have been developed to predict thrombosis risk. Microfluidic platforms, ranging from straight channels to stenotic geometries, provide insights into platelet behavior under various shear conditions while enabling rapid screening of antithrombotic therapies. The integration of these experimental approaches with CFD analysis offers powerful tools for predicting thrombosis risk and optimizing device designs, particularly in mechanical circulatory support devices (MCSDs). Recent advances in mechanobiology have revealed how mechanical forces trigger cellular responses through membrane damage and mechanosensitive channels, offering new therapeutic targets. This review underscores how the synergy between these 3 M engineering approaches advances our understanding of the complex interplay between hemodynamics and thrombosis, paving the way for improved antithrombotic therapies and medical device designs essential to optimizing MCSDs, such as left ventricular assist devices and extracorporeal membrane oxygenators.</div></div>","PeriodicalId":36748,"journal":{"name":"Current Opinion in Biomedical Engineering","volume":"33 ","pages":"Article 100576"},"PeriodicalIF":4.7,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Recent advances in facilitating the translation of bioelectronic medicine therapies

IF 4.7 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2024-12-20 DOI: 10.1016/j.cobme.2024.100575

Alex Baldwin , Gregory States , Victor Pikov , Pallavi Gunalan , Sahar Elyahoodayan , Kevin Kilgore , Ellis Meng

Bioelectronic medicine is a growing field which involves directly interfacing with the vagus, sacral, enteric, and other autonomic nerves to treat conditions. Therapies based on bioelectronic medicine could address previously intractable diseases and provide an alternative to pharmaceuticals. However, translating a bioelectronic medicine therapy to the clinic requires overcoming several challenges, including titrating stimulation parameters to an individual's physiology, selectively stimulating target nerves without inducing off-target activation or block, and improving accessibility to clinically approved devices. This review describes recent progress towards solving these problems, including advances in mapping and characterizing the human autonomic nervous system, new sensor technology and signal processing techniques to enable closed-loop therapies, new methods for selectively stimulating autonomic nerves without inducing off-target effects, and efforts to develop open-source implantable devices. Recent commercial successes in bringing bioelectronic medicine therapies to the clinic are highlighted showing how addressing these challenges can lead to novel therapies.

{"title":"Recent advances in facilitating the translation of bioelectronic medicine therapies","authors":"Alex Baldwin , Gregory States , Victor Pikov , Pallavi Gunalan , Sahar Elyahoodayan , Kevin Kilgore , Ellis Meng","doi":"10.1016/j.cobme.2024.100575","DOIUrl":"10.1016/j.cobme.2024.100575","url":null,"abstract":"<div><div>Bioelectronic medicine is a growing field which involves directly interfacing with the vagus, sacral, enteric, and other autonomic nerves to treat conditions. Therapies based on bioelectronic medicine could address previously intractable diseases and provide an alternative to pharmaceuticals. However, translating a bioelectronic medicine therapy to the clinic requires overcoming several challenges, including titrating stimulation parameters to an individual's physiology, selectively stimulating target nerves without inducing off-target activation or block, and improving accessibility to clinically approved devices. This review describes recent progress towards solving these problems, including advances in mapping and characterizing the human autonomic nervous system, new sensor technology and signal processing techniques to enable closed-loop therapies, new methods for selectively stimulating autonomic nerves without inducing off-target effects, and efforts to develop open-source implantable devices. Recent commercial successes in bringing bioelectronic medicine therapies to the clinic are highlighted showing how addressing these challenges can lead to novel therapies.</div></div>","PeriodicalId":36748,"journal":{"name":"Current Opinion in Biomedical Engineering","volume":"33 ","pages":"Article 100575"},"PeriodicalIF":4.7,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143081120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

3D fabrication of artificial cell microenvironments for mechanobiology

IF 4.7 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2024-12-14 DOI: 10.1016/j.cobme.2024.100574

Annabelle Sonn , Caterina Tomba , Christine Selhuber-Unkel , Barbara Schamberger

Artificial scaffolds are indispensable tools in unraveling the complexity of mechanobiology under controlled conditions. Recent breakthroughs in microfabrication techniques for biological applications have revolutionized the field, enabling well-defined features that span from the subcellular to the multicellular scale. These methods particularly allow for unprecedented control of cell stimulation. This review will showcase research that combines such scaffolds with various stimulation techniques: mechanical stimulation, actuation by magnetic or electric fields, chemical stimulation, or manipulation by light. Additionally, it will introduce passive scaffolds that are actuated by the cells themselves. These systems help to understand forces applied by the cells to their environment and pave the way toward dynamic biohybrid, cell-based systems.

引用次数: 0

Beyond static models: Mechanically dynamic matrices reveal new insights into cancer and fibrosis progression

IF 4.7 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2024-11-29 DOI: 10.1016/j.cobme.2024.100570

M. Walker , D. Gourdon , M. Cantini

The dynamic mechanical nature of extracellular matrices (ECMs) is crucial for the mechanosensitive regulation of cell fate. This is evident in pathological conditions such as cancer and fibrosis, which are characterised by highly fibrotic tissue developing over time. This fibrotic progression not only alters tissue mechanics, but also coincides with the reprogramming of resident cells, promoting their differentiation into aberrant phenotypes and increasing drug resistance. Hydrogels, with their tuneable mechanical and biochemical properties, emerge as powerful ECM mimetics to model and study these abnormal, mechanically-driven cell differentiation phenomena. In this review, after establishing how conventional, mechanically static hydrogels contribute to our understanding of the role of altered mechanosensing in cell differentiation during cancer and fibrosis, we explore the research opportunities given by advanced dynamic matrices. Models employing hydrogels that are fast relaxing, plastic or even with temporally switchable mechanics reveal the otherwise hidden role of time-dependent phenomena during disease development.

{"title":"Beyond static models: Mechanically dynamic matrices reveal new insights into cancer and fibrosis progression","authors":"M. Walker , D. Gourdon , M. Cantini","doi":"10.1016/j.cobme.2024.100570","DOIUrl":"10.1016/j.cobme.2024.100570","url":null,"abstract":"<div><div>The dynamic mechanical nature of extracellular matrices (ECMs) is crucial for the mechanosensitive regulation of cell fate. This is evident in pathological conditions such as cancer and fibrosis, which are characterised by highly fibrotic tissue developing over time. This fibrotic progression not only alters tissue mechanics, but also coincides with the reprogramming of resident cells, promoting their differentiation into aberrant phenotypes and increasing drug resistance. Hydrogels, with their tuneable mechanical and biochemical properties, emerge as powerful ECM mimetics to model and study these abnormal, mechanically-driven cell differentiation phenomena. In this review, after establishing how conventional, mechanically static hydrogels contribute to our understanding of the role of altered mechanosensing in cell differentiation during cancer and fibrosis, we explore the research opportunities given by advanced dynamic matrices. Models employing hydrogels that are fast relaxing, plastic or even with temporally switchable mechanics reveal the otherwise hidden role of time-dependent phenomena during disease development.</div></div>","PeriodicalId":36748,"journal":{"name":"Current Opinion in Biomedical Engineering","volume":"33 ","pages":"Article 100570"},"PeriodicalIF":4.7,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Immune cell and engineering for the therapeutics

IF 4.7 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2024-11-25 DOI: 10.1016/j.cobme.2024.100569

Jin Hyuck Jeong , Miseol Kim , Hui-Shan Li

Reprogrammed immune cell therapies show great promise as “living drugs”, a concept successfully demonstrated in clinical settings with engineered chimeric antigen receptor (CAR) T cells. Beyond CAR-T therapies, immune cells possess unique characteristics that can be leveraged to enhance the body's immune response against specific diseases. This review first highlights recent clinical advancements in immune cell therapies, focusing on the use of different immune cell types across various disease settings. It then explores current engineering approaches aimed at addressing the specific challenges in cancer treatment. Additionally, the review examines the role of emerging technologies such as synthetic circuits, CRISPR, and induced pluripotent stem cells (iPSCs) in expanding the potential of immune cell therapies to treat a broad range of conditions.

引用次数: 0

What lies beyond—Insights into elastic microscaffolds with metamaterial properties for cell studies

IF 4.7 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2024-11-22 DOI: 10.1016/j.cobme.2024.100568

Magdalena Fladung , Alexander Berkes , Tim Alletzhaeusser , Yi Chen , Natalie Munding , Motomu Tanaka , Martin Wegener , Martin Bastmeyer

Recent advances in additive manufacturing have opened up new possibilities to print almost arbitrary structures with submicrometer resolution. An intriguing application is the fabrication of metamaterial-based scaffolds with unprecedented precision and with defined effective elastic properties for mechanobiological research. This field of study has already led to promising results but remains wide open. The vast possibilities, together with the high interdisciplinary character and current lack of established protocols or literature on the subject, are intriguing on the one hand but might discourage researchers who are new to this field. In this review, we aim to provide insights into the work with such microstructured bio-metamaterials, mainly based on our own experience with 2D systems, hoping to encourage further mechanobiological studies. Finally, we present some considerations for expanding to the third dimension to more closely resemble the in vivo situation.

{"title":"What lies beyond—Insights into elastic microscaffolds with metamaterial properties for cell studies","authors":"Magdalena Fladung , Alexander Berkes , Tim Alletzhaeusser , Yi Chen , Natalie Munding , Motomu Tanaka , Martin Wegener , Martin Bastmeyer","doi":"10.1016/j.cobme.2024.100568","DOIUrl":"10.1016/j.cobme.2024.100568","url":null,"abstract":"<div><div>Recent advances in additive manufacturing have opened up new possibilities to print almost arbitrary structures with submicrometer resolution. An intriguing application is the fabrication of metamaterial-based scaffolds with unprecedented precision and with defined effective elastic properties for mechanobiological research. This field of study has already led to promising results but remains wide open. The vast possibilities, together with the high interdisciplinary character and current lack of established protocols or literature on the subject, are intriguing on the one hand but might discourage researchers who are new to this field. In this review, we aim to provide insights into the work with such microstructured bio-metamaterials, mainly based on our own experience with 2D systems, hoping to encourage further mechanobiological studies. Finally, we present some considerations for expanding to the third dimension to more closely resemble the <em>in</em> <em>vivo</em> situation.</div></div>","PeriodicalId":36748,"journal":{"name":"Current Opinion in Biomedical Engineering","volume":"33 ","pages":"Article 100568"},"PeriodicalIF":4.7,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Generalizable and explainable deep learning for medical image computing: An overview 医学图像计算的可概括和可解释的深度学习：概述

IF 4.7 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2024-11-14 DOI: 10.1016/j.cobme.2024.100567

Ahmad Chaddad , Yan Hu , Yihang Wu , Binbin Wen , Reem Kateb

Objective

This paper presents an overview of generalizable and explainable artificial intelligence (XAI) in deep learning (DL) for medical imaging, with the aim of addressing the urgent need for transparency and explainability in clinical applications.

Methodology

We propose to use four CNNs in three medical datasets (brain tumor, skin cancer, and chest x-ray) for medical image classification tasks. Furthermore, we combine ResNet50 with five common XAI techniques to obtain explainable results for model prediction, in order to improve model transparency. We also involve a quantitative metric (confidence increase) to evaluate the usefulness of XAI techniques.

Key findings

The experimental results indicate that ResNet50 can achieve feasible accuracy and F1 score in all datasets (e.g., 86.31 % accuracy in skin cancer). Furthermore, the findings show that while certain XAI methods, such as eXplanation with Gradient-weighted Class activation mapping (XgradCAM), effectively highlight relevant abnormal regions in medical images, others, such as EigenGradCAM, may perform less effectively in specific scenarios. In addition, XgradCAM indicates higher confidence increase (e.g., 0.12 in glioma tumor) compared to GradCAM++ (0.09) and LayerCAM (0.08).

Implications

Based on the experimental results and recent advancements, we outline future research directions to enhance the generalizability of DL models in the field of biomedical imaging.

目的综述了医学影像深度学习（DL）中可推广和可解释的人工智能（XAI），旨在解决临床应用中对透明度和可解释性的迫切需求。我们建议在三个医学数据集（脑肿瘤、皮肤癌和胸部x射线）中使用四个cnn进行医学图像分类任务。此外，我们将ResNet50与五种常见的XAI技术相结合，以获得可解释的模型预测结果，以提高模型透明度。我们还涉及定量度量（置信度增加）来评估XAI技术的有用性。实验结果表明，ResNet50在所有数据集上都能达到可行的准确率和F1评分（例如，在皮肤癌上的准确率为86.31%）。此外，研究结果表明，虽然某些XAI方法，如带有梯度加权类激活映射的解释（XgradCAM），可以有效地突出医学图像中的相关异常区域，但其他方法，如EigenGradCAM，在特定场景下的效果可能不太好。此外，与GradCAM++(0.09)和LayerCAM（0.08）相比，XgradCAM显示更高的置信度增加（如胶质瘤肿瘤为0.12）。基于实验结果和最新进展，我们概述了未来的研究方向，以提高深度学习模型在生物医学成像领域的通用性。

{"title":"Generalizable and explainable deep learning for medical image computing: An overview","authors":"Ahmad Chaddad , Yan Hu , Yihang Wu , Binbin Wen , Reem Kateb","doi":"10.1016/j.cobme.2024.100567","DOIUrl":"10.1016/j.cobme.2024.100567","url":null,"abstract":"<div><h3>Objective</h3><div>This paper presents an overview of generalizable and explainable artificial intelligence (XAI) in deep learning (DL) for medical imaging, with the aim of addressing the urgent need for transparency and explainability in clinical applications.</div></div><div><h3>Methodology</h3><div>We propose to use four CNNs in three medical datasets (brain tumor, skin cancer, and chest x-ray) for medical image classification tasks. Furthermore, we combine ResNet50 with five common XAI techniques to obtain explainable results for model prediction, in order to improve model transparency. We also involve a quantitative metric (confidence increase) to evaluate the usefulness of XAI techniques.</div></div><div><h3>Key findings</h3><div>The experimental results indicate that ResNet50 can achieve feasible accuracy and F1 score in all datasets (e.g., 86.31 % accuracy in skin cancer). Furthermore, the findings show that while certain XAI methods, such as eXplanation with Gradient-weighted Class activation mapping (XgradCAM), effectively highlight relevant abnormal regions in medical images, others, such as EigenGradCAM, may perform less effectively in specific scenarios. In addition, XgradCAM indicates higher confidence increase (e.g., 0.12 in glioma tumor) compared to GradCAM++ (0.09) and LayerCAM (0.08).</div></div><div><h3>Implications</h3><div>Based on the experimental results and recent advancements, we outline future research directions to enhance the generalizability of DL models in the field of biomedical imaging.</div></div>","PeriodicalId":36748,"journal":{"name":"Current Opinion in Biomedical Engineering","volume":"33 ","pages":"Article 100567"},"PeriodicalIF":4.7,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of wireless powering modes for nanotransducer-mediated neuromodulation

IF 4.7 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2024-11-09 DOI: 10.1016/j.cobme.2024.100562

Prachi Kumari , Aleksandra Milojkovic , Kristen Kozielski

Nanomaterials offer a promising approach for precise and minimally invasive modulation of neural activity versus traditional implants. This review explores recent advances in various nanotransducer systems that are powered by a remotely deliverable carrier signal (optical, mechanical, or magnetic) and output a neuromodulatory signal (optical, thermal, mechanical, or electrical). Key advantages of individual transduction methods have been highlighted, such as penetration to deeper brain regions, and potential for cell-specific targeting with or without genetic modification of the target tissue. Current challenges and advances are discussed in the context of considerations for clinical translation, which include optimizing transduction efficiency, reducing power requirements, and spatiotemporal stimulation control.

引用次数: 0

Rehabilitation of motor and sensory function using spinal cord stimulation: Recent advances 利用脊髓刺激康复运动和感觉功能：最新进展

IF 4.7 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2024-10-29 DOI: 10.1016/j.cobme.2024.100566

Marta M. Iversen , Abby T. Harrison , Clay T. Stanley , Ashley N. Dalrymple

Spinal cord stimulation can improve function in neural injuries and disorders. Here, we review recent developments in epidural and transcutaneous spinal cord stimulation (eSCS, tSCS) for motor and sensory rehabilitation. eSCS entails electrodes implanted epidurally over the dorsal spinal cord, while tSCS utilizes adhesive electrodes placed on the surface of the skin. eSCS and tSCS improve volitional motor control in conditions such as spinal cord injury, Parkinson's disease, stroke, multiple sclerosis, and spinal muscular atrophy. They likely improve volitional function by exciting dorsal root afferents which prime motoneurons for supraspinal and propriospinal inputs. Additionally, eSCS and tSCS evoke sensations in missing limbs post-amputation, providing sensory feedback and improving coordination and stability. Hardware advancements aim to optimize targeting and specificity for motor and sensory rehabilitation applications.

脊髓刺激可以改善神经损伤和失调的功能。在此，我们回顾了硬膜外脊髓刺激和经皮脊髓刺激（eSCS、tSCS）在运动和感觉康复方面的最新进展。eSCS 需要在脊髓背侧硬膜外植入电极，而 tSCS 则利用皮肤表面的粘合电极。它们可能通过刺激背根传入来改善意志功能，而背根传入会刺激运动神经元以获得脊髓上和本体脊髓的输入。此外，eSCS 和 tSCS 还能唤起截肢后缺失肢体的感觉，提供感觉反馈并改善协调性和稳定性。硬件技术的进步旨在优化运动和感觉康复应用的靶向性和特异性。

引用次数: 0

下一页尾页

类型

全部化学•材料生命科学医学物理工程技术环境•农林材料科学地球科学法学管理学化学环境科学与生态学计算机科学教育学经济学农林科学人文科学生物学数学物理与天体物理心理学综合性期刊其他工业工程理学历史学农学文学信息工程

数据库

全部 ACS Publications Elsevier ieeexplore Springer The Royal Society of Chemistry Wiley

期刊

Current Opinion in Biomedical Engineering

全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.

﹀