在Insight 46队列中，远程认知测试可预测神经退行性生物标志物。

Remote cognitive tests predict neurodegenerative biomarkers in the Insight 46 cohort.

作者信息

Giovane Martina Del, Giunchiglia Valentina, Cai Ziyuan, Leoni Marguerite, Street Rebecca, Lu Kirsty, Wong Andrew, Popham Maria, Nicholas Jennifer M, Trender William, Hellyer Peter J, Parker Thomas D, Murray-Smith Heidi, Cash David M, Barnes Josephine, Sudre Carole H, Malhotra Paresh A, Crutch Sebastian J, Richards Marcus, Hampshire Adam, Schott Jonathan M

机构信息

Imperial College London, Department of Brain Sciences. Burlington Danes, The Hammersmith Hospital, London, UK.

Imperial College London and The University of Surrey, UK Dementia Research Institute Care Research and Technology Centre, Sir Michael Uren Hub, London, UK.

出版信息

Alzheimers Dement. 2025 Feb;21(2):e14572. doi: 10.1002/alz.14572.

DOI:10.1002/alz.14572

PMID:39936232

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11815243/

Abstract

BACKGROUND

Alzheimer's disease-related biomarkers detect pathology years before symptoms emerge, when disease-modifying therapies might be most beneficial. Remote cognitive testing provides a means of assessing early cognitive changes. We explored the relationship between neurodegenerative biomarkers and cognition in cognitively normal individuals.

METHODS

We remotely deployed 13 computerized Cognitron tasks in 255 Insight 46 participants. We generated amyloid load and positivity, white matter hyperintensity volume (WMHV), whole brain and hippocampal volumes at age 73, plus rates of change over 2 years. We examined the relationship between Cognitron, biomarkers, and standard neuropsychological tests.

RESULTS

Slower response time on a delayed recognition task predicted amyloid positivity (odds ratio [OR] = 1.79, confidence interval [CI]: 1.15, 2.95), and WMHV (1.23, CI: 1.00, 1.56). Brain and hippocampal atrophy rates correlated with poorer visuospatial performance (b = -0.42, CI: -0.80, -0.05) and accuracy on immediate recognition (b = -0.01, CI: -0.012, -0.001), respectively. Standard tests correlated with Cognitron composites (rho = 0.50, p < 0.001).

DISCUSSION

Remote computerized testing correlates with standard supervised assessments and holds potential for studying early cognitive changes associated with neurodegeneration.

HIGHLIGHTS

70% of the Online 46 cohort performed a set of remote online cognitive tasks. Response time and accuracy on a memory task predicted amyloid status and load (SUVR). Accuracy on memory and spatial span tasks correlated with longitudinal atrophy rate. The Cognitron tasks correlated with standard supervised cognitive tests. Online cognitive testing can help identify early AD-related memory deficits.

摘要

背景

阿尔茨海默病相关生物标志物能在症状出现前数年检测到病理变化，而此时进行疾病修饰治疗可能最为有益。远程认知测试提供了一种评估早期认知变化的方法。我们探讨了认知正常个体中神经退行性生物标志物与认知之间的关系。

方法

我们在255名Insight 46参与者中远程部署了13项计算机化认知仪任务。我们生成了73岁时的淀粉样蛋白负荷和阳性率、白质高信号体积（WMHV）、全脑和海马体积，以及2年期间的变化率。我们研究了认知仪、生物标志物与标准神经心理学测试之间的关系。

结果

延迟识别任务中较慢的反应时间预示着淀粉样蛋白阳性（优势比[OR]=1.79，置信区间[CI]：1.15，2.95）和WMHV（1.23，CI：1.00，1.56）。脑萎缩率和海马萎缩率分别与较差的视觉空间表现（b=-0.42，CI：-0.80，-0.05）和即时识别准确性（b=-0.01，CI：-0.012，-0.001）相关。标准测试与认知仪综合指标相关（rho=0.50，p<0.001）。