ID# 2182562 ANALYSIS OF DYNAMIC FUNCTIONAL MAGNETIC RESONANCE IMAGING CONNECTIVITY WITH DEEP LEARNING TO GUIDE AROUSAL NEUROMODULATION IN EPILEPSY

IF 3.7 3区医学 Q2 CLINICAL NEUROLOGY

Neuromodulation Pub Date : 2026-10-01 Epub Date: 2026-10-05 DOI:10.1016/j.neurom.2026.06.040

Derek J. Doss PhD, Ghassan Makhoul BS, Graham Johnson MD, PhD, Anas Reda BA, Bruno Hidalgo BS, Addison Cavendar BS, Emily Liao BE, Kate Wang BS, Sameer Sundrani BS, Haatef Pourmotabbed BS, Sarah Goodale PhD, Douglas Terry PhD, Hakmook Kang PhD, Kevin Haas MD, PhD, Martin Gallagher MD, PhD, Victoria Morgan PhD, Catie Chang PhD, Dario Englot MD, PhD

引用次数: 0

查看原文本刊更多论文

动态功能磁共振成像与深度学习的连通性分析指导癫痫的觉醒神经调节

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Neuromodulation 医学-临床神经学

CiteScore

6.40

自引率

3.60%

发文量

978

审稿时长

54 days

期刊介绍： Neuromodulation: Technology at the Neural Interface is the preeminent journal in the area of neuromodulation, providing our readership with the state of the art clinical, translational, and basic science research in the field. For clinicians, engineers, scientists and members of the biotechnology industry alike, Neuromodulation provides timely and rigorously peer-reviewed articles on the technology, science, and clinical application of devices that interface with the nervous system to treat disease and improve function.