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Network diffusion modeling predicts neurodegeneration in traumatic brain injury.
Annals of Clinical and Translational Neurology ( IF 4.4 ) Pub Date : 2020-02-27 , DOI: 10.1002/acn3.50984 Govinda R Poudel 1 , Juan F Dominguez D 2 , Helena Verhelst 3 , Catharine Vander Linden 4 , Karel Deblaere 5 , Derek K Jones 6 , Ester Cerin 1 , Guy Vingerhoets 3 , Karen Caeyenberghs 2
Annals of Clinical and Translational Neurology ( IF 4.4 ) Pub Date : 2020-02-27 , DOI: 10.1002/acn3.50984 Govinda R Poudel 1 , Juan F Dominguez D 2 , Helena Verhelst 3 , Catharine Vander Linden 4 , Karel Deblaere 5 , Derek K Jones 6 , Ester Cerin 1 , Guy Vingerhoets 3 , Karen Caeyenberghs 2
Affiliation
Traumatic brain injury (TBI) is a heterogeneous disease with multiple neurological deficits that evolve over time. It is also associated with an increased incidence of neurodegenerative diseases. Accordingly, clinicians need better tools to predict a patient’s long‐term prognosis.
中文翻译:
网络扩散模型预测了脑外伤的神经变性。
颅脑外伤(TBI)是一种异质性疾病,随着时间的推移会发展成多种神经功能缺损。它还与神经退行性疾病的发病率增加有关。因此,临床医生需要更好的工具来预测患者的长期预后。
更新日期:2020-02-27
中文翻译:
网络扩散模型预测了脑外伤的神经变性。
颅脑外伤(TBI)是一种异质性疾病,随着时间的推移会发展成多种神经功能缺损。它还与神经退行性疾病的发病率增加有关。因此,临床医生需要更好的工具来预测患者的长期预后。