关键词: brain structural connectivity brain volume clustering coefficient cognitive function cognitive performance global efficiency graph theory grey matter local efficiency magnetic resonance imaging (MRI) optical coherence tomography (OCT) retinal imaging retinal neurodegeneration white matter whole brain node degree

Mesh : Male Humans Middle Aged Female White Matter / diagnostic imaging pathology Diabetes Mellitus, Type 2 Cross-Sectional Studies Retina / diagnostic imaging Brain / diagnostic imaging pathology Biomarkers Cognition

来  源:   DOI:10.1002/alz.13442   PDF(Pubmed)

Abstract:
The retina may provide non-invasive, scalable biomarkers for monitoring cerebral neurodegeneration.
We used cross-sectional data from The Maastricht study (n = 3436; mean age 59.3 years; 48% men; and 21% with type 2 diabetes [the latter oversampled by design]). We evaluated associations of retinal nerve fiber layer, ganglion cell layer, and inner plexiform layer thicknesses with cognitive performance and magnetic resonance imaging indices (global grey and white matter volume, hippocampal volume, whole brain node degree, global efficiency, clustering coefficient, and local efficiency).
After adjustment, lower thicknesses of most inner retinal layers were significantly associated with worse cognitive performance, lower grey and white matter volume, lower hippocampal volume, and worse brain white matter network structure assessed from lower whole brain node degree, lower global efficiency, higher clustering coefficient, and higher local efficiency.
The retina may provide biomarkers that are informative of cerebral neurodegenerative changes in the pathobiology of dementia.
摘要:
背景:视网膜可能提供非侵入性,监测脑神经变性的可扩展生物标志物。
方法:我们使用了来自马斯特里赫特研究的横断面数据(n=3436;平均年龄59.3岁;48%的男性;21%的2型糖尿病患者[后者在设计上过采样])。我们评估了视网膜神经纤维层的关联,神经节细胞层,和具有认知表现和磁共振成像指数的内丛状层厚度(全局灰质和白质体积,海马体积,全脑节点度,全球效率,聚类系数,和本地效率)。
结果:调整后,大多数内部视网膜层的厚度较低与认知表现较差显着相关,较低的灰质和白质体积,较低的海马体积,从较低的全脑节点度评估更差的脑白质网络结构,全球效率较低,较高的聚类系数,更高的本地效率。
结论:视网膜可能提供生物标志物,为痴呆的病理生物学中的脑神经退行性改变提供信息。
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