Evolution of brain functional plasticity associated with increasing symptom severity in degenerative cervical myelopathy.
Evolution of brain functional plasticity associated with increasing symptom severity in degenerative cervical myelopathy.
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DOI：
10.1016/j.ebiom.2022.104255
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发表时间：
2022-10
期刊：
影响因子：
11.1
通讯作者：
Holly, Langston T.
中科院分区：
文献类型：
--
作者：
Wang, Chencai;Ellingson, Benjamin M.;Oughourlian, Talia C.;Salamon, Noriko;Holly, Langston T.
先进的成像方式有助于阐明与退行性脊髓型颈椎病 (DCM) 引起的神经功能损伤相关的大脑改变，但仍不清楚 DCM 患者的大脑功能网络在脊髓病严重程度的不同阶段如何变化，以及网络连接模式是否可用于预测 DCM 向更多脊髓病阶段的转变。这项试点横断面研究涉及收集静息态功能性 MRI (rs-fMRI) 图像和改良的日本骨科协会 (mJOA) 评分，从 2016 年到 2021 年招募了 116 名参与者（99 名患者和 17 名健康对照）。患者队列包括 21 名无症状脊髓压迫患者、48 名轻度 DCM 患者和 20 名中度或重度 DCM 患者。对所有参与者的功能连接网络进行了量化，并对转换矩阵进行了量化，以确定随着 DCM 脊髓病阶段的发展，网络连接的差异。此外，使用链接预测模型来确定是否可以使用转换矩阵从症状较轻的阶段预测 DCM 的更严重的阶段。结果表明，感觉运动网络内的大多数连接与脊髓受压有关，而在初级和次级感觉运动区域、皮质下区域、视觉空间区域（包括楔叶）以及脑干和小脑内部和之间观察到代偿性连接。链接预测模型在估计更严重的 DCM 脊髓病阶段的连接性方面取得了出色的预测性能，预测无症状脊髓受压患者的轻度 DCM 的受试者工作曲线下面积 (AUC) 最高为 0.927。 DCM 发病的整个阶段会发生一系列可预测的功能连接变化。在脊髓病恶化期间，脑干和小脑似乎对优化感觉运动功能具有很大影响。链接预测模型可以全面估计与脊髓病严重程度相关的大脑变化。 NIH/NINDS 拨款（1R01NS078494-01A1 和 2R01NS078494）。
Advanced imaging modalities have helped elucidate the cerebral alterations associated with neurological impairment caused by degenerative cervical myelopathy (DCM), but it remains unknown how brain functional network changes at different stages of myelopathy severity in DCM patients, and if patterns in network connectivity can be used to predict transition to more myelopathic stages of DCM. This pilot cross-sectional study, which involves the collection of resting-state functional MRI (rs-fMRI) images and the modified Japanese Orthopedic Association (mJOA) score, enrolled 116 participants (99 patients and 17 healthy controls) from 2016 to 2021. The patient cohort included 21patients with asymptomatic spinal cord compression, 48 mild DCM patients, and 20 moderate or severe DCM patients. Functional connectivity networks were quantified for all participants, and the transition matrices were quantified to determine the differences in network connectivity through increasingly myelopathic stages of DCM. Additionally, a link prediction model was used to determine whether more severe stages of DCM can be predicted from less symptomatic stages using the transition matrices. Results indicated interruptions in most connections within the sensorimotor network in conjunction with spinal cord compression, while compensatory connectivity was observed within and between primary and secondary sensorimotor regions, subcortical regions, visuospatial regions including the cuneus, as well as the brainstem and cerebellum. A link prediction model achieved an excellent predictive performance in estimating connectivity of more severe myelopathic stages of DCM, with the highest area under the receiver operator curve (AUC) of 0.927 for predicting mild DCM from patients with asymptomatic spinal cord compression. A series of predictable changes in functional connectivity occur throughout the stages of DCM pathogenesis. The brainstem and cerebellum appear highly influential in optimizing sensorimotor function during worsening myelopathy. The link predication model can inclusively estimate brain alterations associated with myelopathy severity. NIH/NINDS grants (1R01NS078494-01A1, and 2R01NS078494).
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脊髓型颈椎病脊髓减压后感觉运动网络内区域均匀性的改变：静息态功能磁共振成像研究
影响因子：
--
作者：
Tan Y;Zhou F;Wu L;Liu Z;Zeng X;Gong H;He L
通讯作者：
He L
DOI：
10.1145/2939672.2939754
发表时间：
2016-08
期刊：
KDD : proceedings. International Conference on Knowledge Discovery & Data Mining
影响因子：
--
作者：
Grover A;Leskovec J
通讯作者：
Leskovec J
影响因子：
2.8
作者：
Bednarik, Josef;Kadanka, Zdenek;Kratochvilova, Dagmar
通讯作者：
Kratochvilova, Dagmar
影响因子：
2.8
作者：
Tetreault, Lindsay;Kopjar, Branko;Fehlings, Michael G.
通讯作者：
Fehlings, Michael G.
人类脊髓损伤早期的大脑感觉运动系统萎缩
影响因子：
3.3
作者：
Hou, J. -M.;Yan, R. -B.;Sun, T. -S.
通讯作者：
Sun, T. -S.