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Predicting the Path: How Machine Learning Can Identify Subtypes of Epilepsy and Predict Disease Progression.

作者信息

Muldoon Sarah F

机构信息

Department of Mathematics, Institute for Artificial Intelligence and Data Science, Neuroscience Program, University at Buffalo.

出版信息

Epilepsy Curr. 2024 Sep 28;24(6):423-425. doi: 10.1177/15357597241279744. eCollection 2024 Nov-Dec.

DOI:10.1177/15357597241279744
PMID:39540123
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11556290/
Abstract
摘要

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本文引用的文献

1
Identification of four biotypes in temporal lobe epilepsy via machine learning on brain images.基于脑影像的机器学习鉴定颞叶癫痫的 4 种生物型。
Nat Commun. 2024 Mar 12;15(1):2221. doi: 10.1038/s41467-024-46629-6.
2
Network phenotypes and their clinical significance in temporal lobe epilepsy using machine learning applications to morphological and functional graph theory metrics.使用机器学习应用程序对形态和功能图论指标进行分析，探讨颞叶癫痫的网络表型及其临床意义。
Sci Rep. 2022 Aug 24;12(1):14407. doi: 10.1038/s41598-022-18495-z.
3
Structural network alterations in focal and generalized epilepsy assessed in a worldwide ENIGMA study follow axes of epilepsy risk gene expression.一项全球性 ENIGMA 研究评估了局灶性和全面性癫痫中的结构网络改变，这些改变与癫痫风险基因表达的轴相一致。
Nat Commun. 2022 Jul 27;13(1):4320. doi: 10.1038/s41467-022-31730-5.
4
Differential Patterns of Change in Brain Connectivity Resulting from Severe Traumatic Brain Injury.重度创伤性脑损伤导致的脑连接性变化的差异模式。
Brain Connect. 2022 Nov;12(9):799-811. doi: 10.1089/brain.2021.0168. Epub 2022 May 5.
5
Neurobehavioural comorbidities of epilepsy: towards a network-based precision taxonomy.癫痫的神经行为共病：迈向基于网络的精准分类学。
Nat Rev Neurol. 2021 Dec;17(12):731-746. doi: 10.1038/s41582-021-00555-z. Epub 2021 Sep 22.
6
Cognitive phenotypes in temporal lobe epilepsy utilizing data- and clinically driven approaches: Moving toward a new taxonomy.利用数据和临床驱动的方法研究颞叶癫痫的认知表型：迈向新分类。
Epilepsia. 2020 Jun;61(6):1211-1220. doi: 10.1111/epi.16528. Epub 2020 May 4.
7
Temporal lobe epilepsy is associated with distinct cognitive phenotypes.颞叶癫痫与特定的认知表型相关。
Epilepsy Behav. 2019 Jul;96:61-68. doi: 10.1016/j.yebeh.2019.04.015. Epub 2019 May 9.
8
Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference.利用亚型和阶段推断揭示神经退行性疾病的异质性和时间复杂性。
Nat Commun. 2018 Oct 15;9(1):4273. doi: 10.1038/s41467-018-05892-0.