Suppr超能文献

脑血流区域模式随年龄变化在整个生命周期中的变化。

Patterns of Regional Cerebral Blood Flow as a Function of Age Throughout the Lifespan.

机构信息

Amen Clinics, Inc., Costa Mesa, CA, USA.

Google Inc., Mountain View, CA, USA.

出版信息

J Alzheimers Dis. 2018;65(4):1087-1092. doi: 10.3233/JAD-180598.

Abstract

BACKGROUND

Understanding the influence of aging on the brain remains a challenge in determining its role as a risk factor for Alzheimer's disease.

OBJECTIVE

To identify patterns of aging in a large neuroimaging cohort.

METHODS

A large psychiatric cohort of 31,227 individuals received brain SPECT at rest and during a concentration task for a total of 62,454 scans. ANOVA was done to identify the mean age trends over the course of the age range in this group, 0-105 years. A regression model in which brain SPECT regions of interest was used to predict chronological age (CA) was then utilized to derive brain estimated age (BEA). The difference between CA and BEA was calculated to determine increased brain aging in common disorders in our sample such as depression, dementia, substance use, and anxiety.

RESULTS

Throughout the lifespan, variations in perfusion were observed in childhood, adolescence, and late life. Increased brain aging was seen in alcohol use, cannabis use, anxiety, bipolar, schizophrenia, attention-deficit/hyperactivity disorder, and in men.

CONCLUSION

Brain SPECT can predict chronological age and this feature varies as a function of common psychiatric disorders.

摘要

背景

了解衰老对大脑的影响仍然是确定其作为阿尔茨海默病风险因素的一个挑战。

目的

在大型神经影像学队列中识别衰老模式。

方法

一个大型的精神科队列中的 31227 名个体在休息时和进行集中任务时接受了大脑 SPECT 检查,总共进行了 62454 次扫描。进行方差分析以确定该组(0-105 岁)年龄范围内的平均年龄趋势。然后,利用大脑 SPECT 感兴趣区域回归模型来预测年龄(CA),从而得出大脑估计年龄(BEA)。计算 CA 和 BEA 之间的差异,以确定我们样本中常见疾病(如抑郁、痴呆、物质使用和焦虑)中的大脑老化增加情况。

结果

在整个生命周期中,在儿童期、青春期和老年期观察到灌注的变化。在酒精使用、大麻使用、焦虑、双相情感障碍、精神分裂症、注意力缺陷/多动障碍和男性中,大脑老化加速。

结论

大脑 SPECT 可以预测年龄,并且该特征随着常见精神疾病的变化而变化。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验