Compensatory cognition in neurological diseases and aging: A review of animal and human studies

IF 1.7 Q3 CLINICAL NEUROLOGY Aging brain Pub Date : 2023-01-01 DOI:10.1016/j.nbas.2022.100061
Kanishka, Sushil K. Jha
{"title":"Compensatory cognition in neurological diseases and aging: A review of animal and human studies","authors":"Kanishka,&nbsp;Sushil K. Jha","doi":"10.1016/j.nbas.2022.100061","DOIUrl":null,"url":null,"abstract":"<div><p>Specialized individual circuits in the brain are recruited for specific functions. Interestingly, multiple neural circuitries continuously compete with each other to acquire the specialized function. However, the dominant among them compete and become the central neural network for that particular function. For example, the hippocampal principal neural circuitries are the dominant networks among many which are involved in learning processes. But, in the event of damage to the principal circuitry, many times, less dominant networks compensate for the primary network. This review highlights the psychopathologies of functional loss and the aspects of functional recuperation in the absence of the hippocampus.</p></div>","PeriodicalId":72131,"journal":{"name":"Aging brain","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/c0/f0/main.PMC9997140.pdf","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aging brain","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2589958922000330","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 1

Abstract

Specialized individual circuits in the brain are recruited for specific functions. Interestingly, multiple neural circuitries continuously compete with each other to acquire the specialized function. However, the dominant among them compete and become the central neural network for that particular function. For example, the hippocampal principal neural circuitries are the dominant networks among many which are involved in learning processes. But, in the event of damage to the principal circuitry, many times, less dominant networks compensate for the primary network. This review highlights the psychopathologies of functional loss and the aspects of functional recuperation in the absence of the hippocampus.

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
神经系统疾病和衰老中的代偿认知:动物和人类研究综述
大脑中专门的单个回路被用于特定的功能。有趣的是,多个神经回路不断相互竞争以获得特定的功能。然而,其中占主导地位的神经网络相互竞争,并成为特定功能的中枢神经网络。例如,海马体主神经回路是许多参与学习过程的主要网络。但是,在主要电路受到损坏的情况下,很多时候,次要的主导网络会补偿主要网络。这篇综述强调了在海马体缺失的情况下功能丧失的精神病理学和功能恢复方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Aging brain
Aging brain Neuroscience (General), Geriatrics and Gerontology
自引率
0.00%
发文量
0
期刊最新文献
Age-related differences in structural and resting-state functional brain network organization across the adult lifespan: A cross-sectional study Age-related fornix decline predicts conservative response strategy-based slowing in perceptual decision-making Age-related decline in social interaction is associated with decreased c-Fos induction in select brain regions independent of oxytocin receptor expression profiles Innate immunity in brain aging and neurodegeneration Neural correlates of home-based intervention effects on value-based sequential decision-making in healthy older adults
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1