Health Science Technology Group, Universidad Politécnica de Madrid, Madrid, Spain.
Laboratory of Cognitive and Computational Neuroscience UCM-UPM Centre for Biomedical Technology; Department of Experimental Psychology, Psychological Processes and Speech Therapy, Universidad Complutense de Madrid and Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Madrid, Spain.
Hum Brain Mapp. 2019 Apr 1;40(5):1666-1676. doi: 10.1002/hbm.24478. Epub 2018 Nov 19.
Hippocampal atrophy is one of the main hallmarks of Alzheimer's disease (AD). However, there is still controversy about whether this sign is a robust finding during the early stages of the disease, such as in mild cognitive impairment (MCI) and subjective cognitive decline (SCD). Considering this background, we proposed a new marker for assessing hippocampal atrophy: the local surface roughness (LSR). We tested this marker in a sample of 307 subjects (normal control (NC) = 70, SCD = 87, MCI = 137, AD = 13). In addition, 97 patients with MCI were followed-up over a 3-year period and classified as stable MCI (sMCI) (n = 61) or progressive MCI (pMCI) (n = 36). We did not find significant differences using traditional markers, such as normalized hippocampal volumes (NHV), between the NC and SCD groups or between the sMCI and pMCI groups. However, with LSR we found significant differences between the sMCI and pMCI groups and a better ability to discriminate between NC and SCD. The classification accuracy of the LSR for NC and SCD was 68.2%, while NHV had a 57.2% accuracy. In addition, the classification accuracy of the LSR for sMCI and pMCI was 74.3%, and NHV had a 68.3% accuracy. Cox proportional hazards models adjusted for age, sex, and education were used to estimate the relative hazard of progression from MCI to AD based on hippocampal markers and conversion times. The LSR marker showed better prediction of conversion to AD than NHV. These results suggest the relevance of considering the LSR as a new hippocampal marker for the AD continuum.
海马体萎缩是阿尔茨海默病（AD）的主要标志之一。然而，关于这一迹象是否是疾病早期（如轻度认知障碍（MCI）和主观认知下降（SCD））的可靠发现，仍存在争议。考虑到这一背景，我们提出了一种评估海马体萎缩的新标志物：局部表面粗糙度（LSR）。我们在 307 名受试者样本中测试了该标志物（正常对照组（NC）=70 例，SCD=87 例，MCI=137 例，AD=13 例）。此外，97 名 MCI 患者进行了 3 年的随访，并分为稳定 MCI（sMCI）（n=61）或进展性 MCI（pMCI）（n=36）。我们没有发现使用传统标志物（如标准化海马体积（NHV））在 NC 和 SCD 组之间或 sMCI 和 pMCI 组之间存在显著差异。然而，使用 LSR，我们发现 sMCI 和 pMCI 组之间存在显著差异，并且对 NC 和 SCD 之间的区分能力更好。LSR 对 NC 和 SCD 的分类准确率为 68.2%，而 NHV 的准确率为 57.2%。此外，LSR 对 sMCI 和 pMCI 的分类准确率为 74.3%，NHV 的准确率为 68.3%。使用调整年龄、性别和教育的 Cox 比例风险模型来估计基于海马体标志物和转换时间的从 MCI 到 AD 进展的相对风险。LSR 标志物在预测 AD 转换方面优于 NHV。这些结果表明，考虑将 LSR 作为 AD 连续体的新海马体标志物具有相关性。
