Non-linear dynamic state-space network modeling for decoding neurodegeneration  

作　　者：Venkata C.Chirumamilla Chi Wang Ip Martin Reich Robert Peach Jens Volkmann Bahman Nasseroleslami Muthuraman Muthuraman 

机构地区：[1]Prenatal Pediatrics Institute,Children’s National Hospital,Washington,DC,USA [2]Neural Engineering with Signal Analytics and Artificial Intelligence,Department of Neurology,University of Würzburg,Würzburg,Germany [3]Academic Unit of Neurology,Trinity Biomedical Sciences Institute,Trinity College Dublin,University of Dublin,Dublin,Ireland

出　　处：《Neural Regeneration Research》2024年第9期1879-1880,共2页中国神经再生研究（英文版）

基　　金：supported by the Deutsche Forschungsgemeinschaft(DFG,German Research Foundation)Project-ID 424778381-TRR 295 and the Fondazione Grigioni per il Morbo di Parkinson(to MM).

摘　　要：Neurodegenerative disorders represent a pervasive global health challenge,yet therapeutic options remain conspicuously limited.These disorders are inherently dynamic processes within the central nervous system,unfolding across distinct sub-stages:initial structural neuronal alterations(sub-stage 1),functional impairment(sub-stage 2),and culminating in neuronal death(sub-stage 3).

关 键 词：alterations IMPAIRMENT DYNAMIC 

分 类 号：R741.05[医药卫生—神经病学与精神病学] R-332[医药卫生—临床医学]