Spatial navigation deficits — overlooked cognitive marker for preclinical Alzheimer disease?

医学 认知 疾病 痴呆 神经影像学 认知功能衰退 空间记忆 方向(向量空间) 生物标志物 认知测验 阿尔茨海默病 情景记忆 神经科学 心理学 精神科 病理 工作记忆 生物化学 化学 数学 几何学
作者
Gillian Coughlan,Jan Laczó,Jakub Hort,Anne Marie Minihane,Michael Hornberger
出处
期刊:Nature Reviews Neurology [Nature Portfolio]
卷期号:14 (8): 496-506 被引量:398
标识
DOI:10.1038/s41582-018-0031-x
摘要

Detection of incipient Alzheimer disease (AD) pathophysiology is critical to identify preclinical individuals and target potentially disease-modifying therapies towards them. Current neuroimaging and biomarker research is strongly focused in this direction, with the aim of establishing AD fingerprints to identify individuals at high risk of developing this disease. By contrast, cognitive fingerprints for incipient AD are virtually non-existent as diagnostics and outcomes measures are still focused on episodic memory deficits as the gold standard for AD, despite their low sensitivity and specificity for identifying at-risk individuals. This Review highlights a novel feature of cognitive evaluation for incipient AD by focusing on spatial navigation and orientation deficits, which are increasingly shown to be present in at-risk individuals. Importantly, the navigation system in the brain overlaps substantially with the regions affected by AD in both animal models and humans. Notably, spatial navigation has fewer verbal, cultural and educational biases than current cognitive tests and could enable a more uniform, global approach towards cognitive fingerprints of AD and better cognitive treatment outcome measures in future multicentre trials. The current Review appraises the available evidence for spatial navigation and/or orientation deficits in preclinical, prodromal and confirmed AD and identifies research gaps and future research priorities. This Review appraises the available evidence for spatial navigation and/or orientation deficits in preclinical, prodromal and confirmed Alzheimer disease with a focus on using spatial navigation as a diagnostic tool. Research gaps and future research priorities are also identified.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
KON发布了新的文献求助10
刚刚
瘦瘦的鬼神完成签到,获得积分10
刚刚
PEKIEOKE发布了新的文献求助30
刚刚
科目三应助zq采纳,获得10
1秒前
科研通AI6应助wonderingria采纳,获得10
2秒前
专注采枫完成签到,获得积分10
2秒前
2秒前
xing完成签到,获得积分10
3秒前
3秒前
遇上就这样吧举报wild求助涉嫌违规
3秒前
Yang完成签到,获得积分10
3秒前
YCYycy发布了新的文献求助10
3秒前
嘻嗷完成签到,获得积分20
4秒前
5秒前
5秒前
siyan156发布了新的文献求助20
7秒前
7秒前
LucyMartinez完成签到,获得积分10
7秒前
CipherSage应助EED采纳,获得10
7秒前
8秒前
zhanglh123完成签到,获得积分10
8秒前
zhangxia发布了新的文献求助10
8秒前
量子星尘发布了新的文献求助10
8秒前
垃圾砂糖乙女牛永贵完成签到,获得积分10
8秒前
8秒前
wanci应助科研通管家采纳,获得10
9秒前
传奇3应助科研通管家采纳,获得10
10秒前
英俊的铭应助科研通管家采纳,获得30
10秒前
科研通AI6应助科研通管家采纳,获得10
10秒前
Lucas应助科研通管家采纳,获得10
10秒前
研友_VZG7GZ应助科研通管家采纳,获得10
10秒前
共享精神应助科研通管家采纳,获得10
10秒前
科研通AI6应助科研通管家采纳,获得10
10秒前
烟花应助科研通管家采纳,获得10
10秒前
科研通AI2S应助科研通管家采纳,获得10
10秒前
NexusExplorer应助科研通管家采纳,获得10
10秒前
wanci应助科研通管家采纳,获得10
11秒前
浮游应助科研通管家采纳,获得10
11秒前
天天快乐应助科研通管家采纳,获得10
11秒前
隐形曼青应助科研通管家采纳,获得10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Разработка технологических основ обеспечения качества сборки высокоточных узлов газотурбинных двигателей,2000 1000
Vertebrate Palaeontology, 5th Edition 500
ISO/IEC 24760-1:2025 Information security, cybersecurity and privacy protection — A framework for identity management 500
碳捕捉技术能效评价方法 500
Optimization and Learning via Stochastic Gradient Search 500
Nuclear Fuel Behaviour under RIA Conditions 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4700022
求助须知:如何正确求助?哪些是违规求助? 4068529
关于积分的说明 12578852
捐赠科研通 3768229
什么是DOI,文献DOI怎么找? 2081103
邀请新用户注册赠送积分活动 1109016
科研通“疑难数据库(出版商)”最低求助积分说明 987187