Altered cortical thickness and structural covariance networks in upper limb amputees: A graph theoretical analysis.
Altered cortical thickness and structural covariance networks in upper limb amputees: A graph theoretical analysis.
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DOI：
10.1111/cns.14226
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发表时间：
2023-10
影响因子：
5.5
通讯作者：
中科院分区：
文献类型：
--
作者：
截肢后发生在大脑的广泛的功能和结构重塑往往导致幻肢痛（PLP）。这些密切相关的现象仍未被完全理解。利用磁共振成像（MRI）和图理论分析（GTA），我们探讨了上肢截肢者（ULAs）脑皮质厚度（CTh）和结构协方差网络（SCNs）的变化与PLP的关系。总共有45例ula和45例健康对照（hc）接受了结构MRI检查。利用GTA分析了区域网络特性，包括节点度、中间中心性（BC）和节点效率。同样，我们还评估了全局网络特性，包括全局效率（Eglob）、局部效率（Eloc）、聚类系数（Cp）、特征路径长度（Lp）和小世界指数。与hcc相比，ULAs减少了截肢肢体对侧中央后和中央前回的cth；这种CTh的降低与ULAs的PLP强度呈负相关。与hc相比，ula在区域网络特性中的节点效率发生了不同程度的变化（p < 0.005）。Eglob、Eloc、Cp和Lp特性组间差异无统计学意义（p < 0.05）。ULAs的真实世界SCN表现为小世界拓扑结构，范围为2% ~ 34%，ULAs的小世界指数曲线下面积与hc有显著差异（p < 0.001）。这些结果表明，上肢截肢后人类中枢神经系统功能网络的拓扑结构发生了改变，为PLP的皮质重映射理论提供了进一步的支持。基于ULA和HC参与者的皮质厚度（CTh），产生和评估结构协方差网络（scn）的步骤示意图（从左至右）。半膨胀脑表面的绿色到蓝色区域（左框）代表不同的cth。使用HCP 360图谱对roi进行分组，利用ULA组和HC组中每对校正后的roi之间的Pearson相关性来构建scn。对每组分别计算结构相关矩阵（左三），最终得到二值化、未加权、无向图（右），用于图理论分析。结构相关矩阵中的颜色表示最弱到最强的相关性（蓝色到红色）。HCP 360 (Human Connectome Project Atlas)；hc，健康对照；ROI，兴趣区域；ULAs，上肢截肢者。
The extensive functional and structural remodeling that occurs in the brain after amputation often results in phantom limb pain (PLP). These closely related phenomena are still not fully understood. Using magnetic resonance imaging (MRI) and graph theoretical analysis (GTA), we explored how alterations in brain cortical thickness (CTh) and structural covariance networks (SCNs) in upper limb amputees (ULAs) relate to PLP. In all, 45 ULAs and 45 healthy controls (HCs) underwent structural MRI. Regional network properties, including nodal degree, betweenness centrality (BC), and node efficiency, were analyzed with GTA. Similarly, global network properties, including global efficiency (Eglob), local efficiency (Eloc), clustering coefficient (Cp), characteristic path length (Lp), and the small‐worldness index, were evaluated. Compared with HCs, ULAs had reduced CThs in the postcentral and precentral gyri contralateral to the amputated limb; this decrease in CTh was negatively correlated with PLP intensity in ULAs. ULAs showed varying degrees of change in node efficiency in regional network properties compared to HCs (p < 0.005). There were no group differences in Eglob, Eloc, Cp, and Lp properties (all p > 0.05). The real‐worldness SCN of ULAs showed a small‐world topology ranging from 2% to 34%, and the area under the curve of the small‐worldness index in ULAs was significantly different compared to HCs (p < 0.001). These results suggest that the topological organization of human CNS functional networks is altered after amputation of the upper limb, providing further support for the cortical remapping theory of PLP. Schematic diagram of steps involved (left‐to‐right) in producing and evaluating structural covariance networks (SCNs) based on the cortical thickness (CTh) of ULA and HC participants. Green‐to‐blue areas in semi‐inflated brain surfaces (left box) represent differing CThs. The HCP 360 Atlas was used to parcellate ROIs for subsequent construction of SCNs using Pearson's correlations between each pair of corrected ROIs in ULA and HC groups. Structural correlation matrices (third from left) were calculated separately for each group to finally obtain binarized, unweighted, and undirected graph (right) used for graph theoretical analysis. Colors in structural correlation matrices represent weakest‐to‐strongest correlation (blue‐to‐red). HCP 360, Human Connectome Project Atlas; HCs, healthy controls; ROI, region of interest; ULAs, upper limb amputees.
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影响因子：
6.1
作者：
Bao BB;Zhu HY;Wei HF;Li J;Wang ZB;Li YH;Hua XY;Zheng MX;Zheng XY
通讯作者：
Zheng XY
影响因子：
4.8
作者：
Erlenwein J;Diers M;Ernst J;Schulz F;Petzke F
通讯作者：
Petzke F
DOI：
10.1523/jneurosci.3554-12.2013
发表时间：
2013-02-13
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Alexander-Bloch A;Raznahan A;Bullmore E;Giedd J
通讯作者：
Giedd J
影响因子：
3.6
作者：
Lloyd, Donna M.;McGlone, Francis P.;Yosipovitch, Gil
通讯作者：
Yosipovitch, Gil
DOI：
10.1146/annurev-clinpsy-040510-143934
发表时间：
2011-01-01
影响因子：
18.4
作者：
Bullmore, Edward T.;Bassett, Danielle S.
通讯作者：
Bassett, Danielle S.