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

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).Previous studies have revealed shared pathological features between amyotrophic lateral sclerosis(ALS)and Parkinson's disease(PD)(van Rheenen et al.,2021;Mantle and Hargreaves,2022)including common genetic risk factors identified through genome-wide association studies(van Rheenen et al.,2021).Both disorders manifest similar neurodegenerative mechanisms,such as oligomer formation,aberrant protein accumulation,and protein misfolding-specifically,superoxide dismutase 1 in ALS and α-synuclein in PD.Mitochondrial dysfunction further serves as a common denominator in the pathogenesis of ALS and PD(Mantle and Hargreaves,2022).

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作者 Venkata C.Chirumamilla [1] Chi Wang Ip [2] Martin Reich [2] Robert Peach [2] Jens Volkmann [2] Bahman Nasseroleslami [3] Muthuraman Muthuraman [2] 学术成果认领
作者单位 Prenatal Pediatrics Institute,Children's National Hospital,Washington,DC,USA [1] Neural Engineering with Signal Analytics and Artificial Intelligence,Department of Neurology,University of Würzburg,Würzburg,Germany [2] Academic Unit of Neurology,Trinity Biomedical Sciences Institute,Trinity College Dublin,University of Dublin,Dublin,Ireland [3]
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DOI 10.4103/1673-5374.391187
发布时间 2024-01-20(万方平台首次上网日期,不代表论文的发表时间)
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中国神经再生研究(英文版)

中国神经再生研究(英文版)

2024年19卷9期

1879-1880页

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