Challenges and Opportunities: Nanomaterials in Epilepsy Diagnosis

癫痫 纳米材料 纳米技术 材料科学 风险分析(工程) 业务 心理学 神经科学
作者
Wanbin Huang,Jiabin Zong,Ming Li,Tong‐Fei Li,Songqing Pan,Zheman Xiao
出处
期刊:ACS Nano [American Chemical Society]
卷期号:19 (17): 16224-16247 被引量:13
标识
DOI:10.1021/acsnano.5c01203
摘要

Epilepsy is a common neurological disorder characterized by a significant rate of disability. Accurate early diagnosis and precise localization of the epileptogenic zone are essential for timely intervention, seizure prevention, and personalized treatment. However, over 30% of patients with epilepsy exhibit negative results on electroencephalography and magnetic resonance imaging (MRI), which can lead to misdiagnosis and subsequent delays in treatment. Consequently, enhancing diagnostic methodologies is imperative for effective epilepsy management. The integration of nanomaterials with biomedicine has led to the development of diagnostic tools for epilepsy. Key advancements include nanomaterial-enhanced neural electrodes, contrast agents, and biochemical sensors. Nanomaterials improve the quality of electrophysiological signals and broaden the detection range of electrodes. In imaging, functionalized magnetic nanoparticles enhance MRI sensitivity, facilitating localization of the epileptogenic zone. NIR-II nanoprobes enable tracking of seizure-related biomarkers with deep tissue penetration. Furthermore, nanomaterials enhance the sensitivity of biochemical sensors for detecting epilepsy biomarkers, which is crucial for early detection. These advancements significantly increase diagnostic sensitivity and specificity. However, challenges remain, particularly regarding biosafety, quality control, and the scalability of fabrication processes. Overcoming these obstacles is essential for successful clinical translation. Artificial-intelligence-based big data analytics can facilitate the development of diagnostic tools by screening nanomaterials with specific properties. This approach may help to address current limitations and improve both effectiveness and safety. This review explores the application of nanomaterials in the diagnosis and detection of epilepsy, with the objective of inspiring innovative ideas and strategies to enhance diagnostic effectiveness.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
1秒前
2秒前
Owen的应助被闪闪采纳,获得10
2秒前
Ying发布了新的文献求助10
2秒前
3秒前
优雅的不惜完成签到,获得积分10
4秒前
Veronica完成签到,获得积分10
5秒前
qq发布了新的文献求助10
5秒前
眯眯眼的幻天完成签到 ,获得积分10
5秒前
SciGPT的应助被成就的菀采纳,获得10
5秒前
田様的应助被医院的孩子采纳,获得10
5秒前
直率雪曼发布了新的文献求助10
7秒前
Master_Ye完成签到,获得积分10
7秒前
8秒前
8秒前
kkkay发布了新的文献求助10
8秒前
8秒前
8秒前
Lucas的应助被莫琳采纳,获得10
9秒前
15022655822完成签到,获得积分10
10秒前
小杜瘦得快的应助被双儿采纳,获得10
10秒前
WW发布了新的文献求助10
12秒前
navi发布了新的文献求助10
13秒前
科研通AI6.4的应助被kkkay采纳,获得10
13秒前
tang发布了新的文献求助10
16秒前
SciGPT的应助被生椰拿铁采纳,获得10
16秒前
16秒前
17秒前
仙女完成签到 ,获得积分10
17秒前
务实的一斩完成签到 ,获得积分10
19秒前
19秒前
李爱国的应助被Ming采纳,获得10
20秒前
20秒前
weichaer关注了科研通微信公众号
20秒前
20秒前
20秒前
和谐半梅完成签到,获得积分10
21秒前
Lucas的应助被Vivi采纳,获得10
22秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Composite Materials Handbook Volume 1 - Revision H 1500
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
Decentring Leadership 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7808256
求助须知:如何正确求助?哪些是违规求助? 9340728
关于积分的说明 20503210
捐赠科研通 7400393
什么是DOI,文献DOI怎么找? 3328743
关于科研通互助平台的介绍 2475465
邀请新用户注册赠送积分活动 2347011