Ego- and allo-network disconnection underlying spatial disorientation in subjective cognitive decline

脾后皮质 断开 心理学 痴呆 认知 认知功能衰退 海马体 功能磁共振成像 神经科学 阿尔茨海默病 磁共振成像 逻辑回归 听力学 疾病 内科学 医学 政治学 法学 放射科
作者
Qian Chen,Zhao Qing,Jiaxuan Jin,Yi Sun,Wenqian Chen,Jiaming Lu,Pin Lv,Jiani Liu,Xin Li,Junxia Wang,Wen Zhang,Sichu Wu,Xian Yan,Zuzana Nedelská,Jakub Hort,Xin Zhang,Bing Zhang
出处
期刊:Cortex [Elsevier BV]
卷期号:137: 35-48 被引量:8
标识
DOI:10.1016/j.cortex.2020.12.022
摘要

Patients with Alzheimer's disease (AD) related dementia and mild cognitive impairment experience difficulties with spatial navigation (SN). However, SN has rarely been investigated in individuals with subjective cognitive decline (SCD), a preclinical stage with elevated progression rate to symptomatic AD. In this study, 30 SCD subjects and 30 controls underwent cognitive scale (CS) evaluation, a 2D computerized SN test, and resting-state functional magnetic resonance imaging scanning. Two SN brain networks (ego-network and allo-network), each with 10 selected spherical regions, were defined. We calculated the average network functional connectivity (FC) and region-to-region FC within the two networks and evaluated correlations with SN performance. Compared with the controls, the SCD group performed worse in the SN test and showed decreased FC between the right retrosplenial and right prefrontal cortices in the ego-network, and between the right retrosplenial cortex and right hippocampus in the allo-network. The logistic regression model based on SN and FC measures revealed a high area under the curve of .880 in differentiating SCD individuals from controls. These results suggest that SN network disconnection contributes to spatial deficits in SCD, and SN and FC measures could benefit the preclinical detection of subjects with incipient AD dementia.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
Ava应助精明梦柏采纳,获得10
2秒前
2秒前
2秒前
3秒前
阳光的寒凡完成签到,获得积分10
3秒前
SciGPT应助蒲月三十采纳,获得10
3秒前
Hello应助shulao采纳,获得10
3秒前
4秒前
5秒前
5秒前
5秒前
5秒前
科研通AI6.2应助XYM采纳,获得10
5秒前
6秒前
hzwhz完成签到,获得积分10
6秒前
酷波er应助机智傲霜采纳,获得10
6秒前
7秒前
7秒前
8秒前
9秒前
呼噜噜ya完成签到 ,获得积分10
10秒前
10秒前
lixs应助yskm采纳,获得10
10秒前
11秒前
11秒前
11秒前
11秒前
12秒前
12秒前
12秒前
12秒前
Believer发布了新的文献求助10
12秒前
陆程文完成签到,获得积分10
13秒前
13秒前
舒心白山发布了新的文献求助10
13秒前
14秒前
shulao发布了新的文献求助10
15秒前
wow完成签到,获得积分10
15秒前
15秒前
Yusheng发布了新的文献求助10
15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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
煤炭地下气化渗流燃烧方法的研究 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7632328
求助须知:如何正确求助?哪些是违规求助? 9206736
关于积分的说明 19745547
捐赠科研通 7201701
什么是DOI,文献DOI怎么找? 3274787
关于科研通互助平台的介绍 2436711
邀请新用户注册赠送积分活动 2271458