School of Medicine, Chung Shan Medical University, Taichung, Taiwan.
Department of Pediatrics, Chung Shan Medical University Hospital, Taichung, Taiwan.
MAGMA. 2021 Apr;34(2):189-200. doi: 10.1007/s10334-020-00870-4. Epub 2020 Jul 26.
Tuberous sclerosis complex (TSC) is a genetic neurocutaneous syndrome with variable and unpredictable neurological comorbidity that includes epilepsy, intellectual disability (ID), autism spectrum disorder, and neurobehavioral abnormalities. The degree of white matter involvement is believed to be associated with the severity of neurological impairment. The goal of the present study was to evaluate diffusion characteristics of tubers, white matter lesions, and brain structural network alterations in TSC patients using diffusion tensor imaging (DTI), graph theoretical analysis (GTA), and network-based statistical (NBS) analysis.
Forty-two patients with a definitive diagnosis of TSC were recruited for this study. All patients underwent brain DTI examination using a 3 T magnetic resonance imaging system. Mean diffusivity (MD), axial diffusivity (AD), radial diffusivity (RD) values, and fractional anisotropy (FA) mapping in 52 tubers and white matter lesions were measured and compared with those of contralateral normal regions. GTA was performed on the inter-regional connectivity matrix, and NBS analysis was used to identify the significance of any connected subnetworks evident in the set of altered connections. For neurological severity subgrouping, a neurological severity score was assigned to TSC patients including those with ID, seizure, autism, and other neuropsychiatric disorders (NPDs).
Significantly higher MD, AD, and RD, and lower FA values, were found in TSC lesions compared with those measured in contralateral normal regions for tubers (P < 0.05). GTA and NBS analysis provided better local segregation but worse global integration of the structural network (regular-like network) in TSC patients with ID, seizure, and higher Neurological Severity Score. Disrupted subnetworks in TSC patients with severe status included connections from the frontal lobe to the parietal lobe, temporal lobe to the caudate, and temporal lobe to the insula.
DTI has the potential to provide valuable information about cytoarchitectural changes in TSC lesions beyond morphological MRI findings alone. Using GTA and NBS, current results provide the information of disrupted white matter connectivity and organization in TSC patients with different neuropsychological impairments.
结节性硬化症(TSC)是一种具有可变和不可预测的神经合并症的遗传性神经皮肤综合征,包括癫痫、智力障碍(ID)、自闭症谱系障碍和神经行为异常。据信,脑白质受累程度与神经功能障碍的严重程度有关。本研究的目的是使用弥散张量成像(DTI)、图论分析(GTA)和基于网络的统计(NBS)分析评估 TSC 患者结节、脑白质病变和脑结构网络改变的弥散特征。
本研究共纳入 42 例明确诊断为 TSC 的患者。所有患者均在 3T 磁共振成像系统上进行脑 DTI 检查。测量并比较 52 个结节和脑白质病变的平均弥散度(MD)、轴索弥散度(AD)、径向弥散度(RD)值和各向异性分数(FA)图,与对侧正常区域进行比较。对区域间连通矩阵进行 GTA,并用 NBS 分析识别明显改变连接的有意义的连通子网。为了进行神经严重程度分组,我们对 TSC 患者进行了神经严重程度评分,包括 ID、癫痫、自闭症和其他神经精神障碍(NPD)患者。
与对侧正常区域相比,TSC 病变的结节中 MD、AD 和 RD 值更高,FA 值更低(P<0.05)。GTA 和 NBS 分析为 ID、癫痫和更高的神经严重程度评分的 TSC 患者提供了更好的局部分离但更差的全局结构网络整合(规则网络)。严重状态 TSC 患者的破坏子网包括额-顶叶、颞-尾状核和颞-岛叶之间的连接。
DTI 除了单独的形态 MRI 发现外,还有潜力提供关于 TSC 病变细胞结构变化的有价值信息。使用 GTA 和 NBS,目前的结果提供了不同神经心理障碍的 TSC 患者脑白质连接和组织破坏的信息。