To identify individual differences and potential factors influencing age-related cognitive decline and disease, we created MindCrowd. MindCrowd is a cross-sectional web-based assessment of simple visual (sv) reaction time (RT, index of processing speed) and paired-associate learning (PAL, index of verbal episodic memory). svRT and PAL results were combined with 22 survey questions. Analysis of MindCrowd's svRT data revealed education and reported stroke as potential modifiers of changes in processing speed and memory from younger to older ages (ntotal = 75,666, nwomen = 47,700, nmen = 27,966; ages 18-85 years old, mean (M)Age = 46.54, standard deviation (SD)Age = 18.40). To complement this work, we evaluated complex recognition reaction time (cvrRT) in the UK Biobank cohort (ntotal = 158,249 nwomen = 89,333 nmen = 68,916; ages 40-70 years old, MAge = 55.81, SDAge = 7.72). Similarities between the UK Biobank and MindCrowd were assessed using a subset of the MindCrowd cohort. Labeled UKBb MindCrowd (ntotal = 39,795, nwomen = 29,640, nmen = 10,155; ages 40-70 years old, MAge = 56.59, SDAge = 8.16), this subset was carefully selected to mirror the UK Biobank. An identical linear model (LM) was used to assess both cohorts. The LM revealed similarities between MindCrowd and the UK Biobank across most results, despite obvious cohort differences (e.g., US vs. the UK). Notable divergent findings from the UK Biobank included (1) a first-degree family history of Alzheimer's disease (FHAD) was associated with longer RTs in only. (2) Compared to being a man with more education, being a woman was associated with longer cvrRT length differences observed from younger to older ages. Divergent results from UKBb MindCrowd include more education and reported smoking. More education was associated with shorter and smoking longer cvrRTs differences observed from younger to older ages. Collected with our prior work, MindCrowd is beginning to reveal the intricate network connecting processing speed, memory, and cognition to healthy and pathological brain aging.

中文翻译：

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两个独立的大型队列揭示了视觉反应时间表现中年龄相关变化的潜在修饰因子

为了确定影响年龄相关的认知能力下降和疾病的个体差异和潜在因素，我们创建了MindCrowd。MindCrowd是基于Web的横断面评估，用于评估简单视觉（sv）反应时间（RT，处理速度的指标）和配对相关学习（PAL，口头情节记忆的指标）。svRT和PAL结果与22个调查问题结合在一起。对MindCrowd svRT数据的分析显示，受教育程度高，并报告中风是从年轻到更高年龄（ntotal = 75,666，nwomen = 47,700，nmen = 27,966； 18-85岁，平均（M）年龄）的处理速度和记忆力变化的潜在调节器= 46.54，标准差（SD）年龄= 18.40）。为了补充这项工作，我们在英国Biobank队列中评估了复杂识别反应时间（cvrRT）（ntotal = 158,249 nwomen = 89,333 nmen = 68,916；年龄在40-70岁之间，MAge = 55.81，SDAge = 7.72）。英国生物库和MindCrowd之间的相似性是使用MindCrowd队列的一部分进行评估的。标记为UKBb MindCrowd（总数= 39,795，女性= 29,640，nmen = 10,155；年龄40-70岁，MAge = 56.59，SDAge = 8.16），此子集经过精心选择以反映UK Biobank。使用相同的线性模型（LM）评估两个队列。LM揭示了在大多数结果中MindCrowd和UK Biobank之间的相似之处，尽管有明显的同类差异（例如，美国vs.英国）。英国生物库的显着分歧发现包括（1）阿尔茨海默氏病（FHAD）的一级家族史仅与更长的RT相关。（2）与受过男性教育的男性相比，作为女性与从年轻到老年观察到的更长的cvrRT长度差异有关。UKBb MindCrowd的不同结果包括更多的教育和据报道吸烟。接受更多的教育与较短和吸烟时间更长的cvrRTs差异有关（从年轻到老年）。收集了我们之前的工作，MindCrowd开始揭示连接处理速度，内存和对健康和病理性脑部衰老的认知的复杂网络。