老年认知功能障碍患者默认网络、凸显网络和中央执行网络研究进展

doi:10.3969/j.issn.1006-9771.2018.03.006

《中国康复理论与实践》 ›› 2018, Vol. 24 ›› Issue (3): 282-286.doi: 10.3969/j.issn.1006-9771.2018.03.006

老年认知功能障碍患者默认网络、凸显网络和中央执行网络研究进展

王金芳^1,2, 陈红燕³, 李越秀¹, 叶娜¹, 冯丽¹, 王诗男¹, 张玉梅¹

1.首都医科大学附属北京天坛医院神经病学中心血管神经病学科,国家神经系统疾病临床医学研究中心,北京脑重大疾病研究院脑卒中研究所,脑血管病转化医学北京市重点实验室,北京市 100050;
2.长江航运总医院,武汉脑科医院神经内科,湖北武汉市 430015;
3.首都医科大学附属北京天坛医院影像科,北京市 100050

收稿日期:2017-11-20 修回日期:2018-01-11 出版日期:2018-03-25 发布日期:2018-03-27
通讯作者: 张玉梅。E-mail: zhangyumei95@aliyun.com
作者简介:王金芳(1984-),女,汉族,河南卫辉市人,博士研究生,主治医师,主要研究方向：脑血管病与认知功能障碍。通讯作者：张玉梅,博士研究生导师,主要研究方向：脑血管病、认知障碍。
基金资助:
1.国家自然科学基金项目(No. 81371201); 2.首都医科大学基础与临床合作重点项目(No. 16JL03); 3.北京市医院管理局临床技术创新项目(No. ZYLX201836); 4.湖北省卫生计生委科研项目(No. WJ2017F057)

Advance in Default Mode Network, Salience Network and Central Executive Network about Cognitive Function in Old Persons (review)

WANG Jin-fang^1,2, CHEN Hong-yan³, LI Yue-xiu¹, YE Na¹, FENG Li¹, WANG Shi-nan¹, ZHANG Yu-mei¹

1. Department of Neurology, Beijing Tiantan Hospital, Capital Medical University; China National Clinical Research Center for Neurological Diseases; Center of Stroke, Beijing Institute for Brain Disorders; Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100050, China;
2. Department of Neurology, General Hospital of the Yangtze River Shipping, Wuhan Brain Hospital, Wuhan, Hubei 430015, China;
3. Department of Neuroimaging, Beijing Neurosurgery Institute, Capital Medical University, Beijing 100050, China

Received:2017-11-20 Revised:2018-01-11 Published:2018-03-25 Online:2018-03-27
Contact: ZHANG Yu-mei. E-mail: zhangyumei95@aliyun.com
Supported by:
Supported by National Natural Science Foundation of China (No. 81371201), Capital Medical University Research Project for Basic and Clinical Cooperation (Key) (No. 16JL03), Beijing Municipal Administration of Hospitals Special Funding for Clinical Medicine Development (No. ZYLX201836) and Hubei Health and Family Planning Committee Research Project (No. WJ2017F057)

摘要/Abstract

摘要： 健康老年人及老年认知功能障碍患者默认网络、凸显网络和中央执行网络的功能连接发生改变,且不同程度认知功能障碍患者表现出不同的改变模式。利用静息态功能磁共振技术对痴呆早期患者脑内在网络的连接变化进行监测具有重要意义。

关键词: 认知功能障碍, 默认网络, 中央执行网络, 凸显网络, 老年, 综述

Abstract: A lot of researches indicate the relationship between cognitive impairment and functional connectivity of default mode network, salience network and central executive network. The changes of networks are various in different cognitive dysfunction. It is important to apply resting state functional magnetic resonance in the old adults with cognitive dysfunction.

Key words: cognitive function impairment, default mode network, central executive network, salience network, aged, review

中图分类号:

R749.1

王金芳, 陈红燕, 李越秀, 叶娜, 冯丽, 王诗男, 张玉梅. 老年认知功能障碍患者默认网络、凸显网络和中央执行网络研究进展[J]. 《中国康复理论与实践》, 2018, 24(3): 282-286.

WANG Jin-fang, CHEN Hong-yan, LI Yue-xiu, YE Na, FENG Li, WANG Shi-nan, ZHANG Yu-mei. Advance in Default Mode Network, Salience Network and Central Executive Network about Cognitive Function in Old Persons (review)[J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2018, 24(3): 282-286.

参考文献

[1] Williams KN, Kemper S.Interventions to reduce cognitive decline in aging[J]. J Psychosoc Nurs Ment Health Serv, 2010, 48(5): 42-51.
[2] Patro SN, Glikstein R, Hanagandi P, et al.Role of neuroimaging in multidisciplinary approach towards non-Alzheimer's dementia[J]. Insights Imaging, 2015, 6(5): 531-544.
[3] Bateman RJ, Xiong C, Benzinger TL, et al.Clinical and biomarker changes in dominantly inherited Alzheimer's disease[J]. N Engl J Med, 2012, 367(9): 795-804.
[4] Barkhof F, Haller S, Rombouts SA.Resting-state functional MR imaging: a new window to the brain[J]. Radiology, 2014, 272(1): 29-49.
[5] Balachandar R, John JP, Saini J, et al.A study of structural and functional connectivity in early Alzheimer's disease using rest fMRI and diffusion tensor imaging[J]. Int J Geriatr Psychiatry, 2015, 30(5): 497-504.
[6] Vemuri P, Jones DT, Jack CR Jr.Resting state functional MRI in Alzheimer's disease[J]. Alzheimers Res Ther, 2012, 4(1): 1-9.
[7] Damoiseaux JS, Prater KE, Miller BL, et al.Functional connectivity tracks clinical deterioration in Alzheimer's disease[J]. Neurobiol Aging, 2012, 33(4): 819-828.
[8] Gusnard DA, Raichle ME, Raichle ME.Searching for a baseline: functional imaging and the resting human brain[J]. Nat Rev Neurosci, 2001, 2(10): 685-694.
[9] Whitfield-Gabrieli S, Moran JM, Nieto-Castanon A, et al.Associations and dissociations between default and self-reference networks in the human brain[J]. Neuroimage, 2011, 55(1): 225-232.
[10] Buckner RL, Andrews-Hanna JR, Schacter DL.The brain's default network[J]. Ann N Y Acad Sci, 2008, 1124(1): 1-38.
[11] Morcom AM, Fletcher PC.Cognitive neuroscience: The case for design rather than default[J]. Neuroimage, 2007, 37(4): 1097-1099.
[12] Menon V.Large-scale brain networks and psychopathology: a unifying triple network model[J]. Trends Cogn Sci, 2011, 15(10): 483-506.
[13] Damoiseaux JS, Rombouts SA, Barkhof F, et al.Consistent resting-state networks across healthy subjects[J]. Proc Natl Acad Sci, 2006, 103(37): 13848-13853.
[14] Petrides M.Lateral prefrontal cortex: architectonic and functional organization[J]. Philos Trans R Soc Lond B Biol Sci, 2005, 360(1456): 781-795.
[15] Muller NG, Knight RT.The functional neuroanatomy of working memory: contributions of human brain lesion studies[J]. Neuroscience, 2006, 139(1): 51-58.
[16] Koechlin E, Summerfield C.An information theoretical approach to prefrontal executive function[J]. Trends Cogn Sci, 2007, 11(6): 229-235.
[17] Raichle ME, Snyder AZ.A default mode of brain function: A brief history of an evolving idea[J]. Neuroimage, 2007, 37(4): 1083-1090.
[18] Menon V, Uddin LQ.Saliency, switching, attention and control: a network model of insula function[J]. Brain Struct Funct, 2010, 214(5-6): 655-667.
[19] Sridharan D, Levitin DJ, Menon V.A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks[J]. Proc Natl Acad Sci U S A, 2008, 105(34): 12569-12574.
[20] Greicius MD, Krasnow B, Reiss AL, et al.Functional connectivity in the resting brain: a network analysis of the default mode hypothesis[J]. Proc Natl Acad Sci, 2003, 100(1): 253-258.
[21] Fox MD, Snyder AZ, Vincent JL, et al.The human brain is intrinsically organized into dynamic, anticorrelated functional networks[J]. Proc Natl Acad Sci U S A, 2005, 102(27): 9673-9678.
[22] He X, Qin W, Liu Y, et al.Age-related decrease in functional connectivity of the right fronto-insular cortex with the central executive and default-mode networks in adults from young to middle age[J]. Neurosci Lett, 2013, 544(7): 74-79.
[23] Ferreira LK, Busatto GF.Resting-state functional connectivity in normal brain aging[J]. Neurosci Biobehav Rev, 2013, 37(3): 384-400.
[24] Fox MD, Raichle ME.Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging[J]. Nat Rev Neurosci, 2007, 8(9): 700-711.
[25] Mormino EC, Smiljic A, Hayenga AO, et al.Relationships between beta-amyloid and functional connectivity in different components of the default mode network in aging[J]. Cereb Cortex, 2011, 21(10): 2399-2407.
[26] Greicius MD, Srivastava G, Reiss AL, et al.Default-mode network activity distinguishes Alzheimer's disease from healthy aging: evidence from functional MRI[J]. Proc Natl Acad Sci U S A, 2004, 101(13): 4637-4642.
[27] Damoiseaux JS, Beckmann CF, Arigita EJ, et al.Reduced resting-state brain activity in the "default network" in normal aging[J]. Cereb Cortex, 2008, 18(8): 1856-1864.
[28] Wu JT, Wu HZ, Yan CG, et al.Aging-related changes in the default mode network and its anti-correlated networks: a resting-state fMRI study[J]. Neurosci Lett, 2011, 504(1): 62-67.
[29] Tartaglia MC, Rosen HJ, Miller BL.Neuroimaging in Dementia[M]. Berlin, Heidelberg: Springer, 2011.
[30] 石庆丽,毕延超,陈伟康,等. 脑白质疏松轻度认知功能障碍静息态默认网络研究[J]. 中国康复理论与实践, 2014, 20(12): 1133-1139.
[31] Achard S, Bullmore E.Efficiency and cost of economical brain functional networks[J]. PLoS Comput Biol, 2007, 3(2):e17.
[32] Meunier D, Achard S, Morcom A, et al.Age-related changes in modular organization of human brain functional networks[J]. Neuroimage, 2009, 44(3): 715-723.
[33] Onoda K, Ishihara M, Yamaguchi S.Decreased functional connectivity by aging is associated with cognitive decline[J]. J Cogn Neurosci, 2012, 24(11): 2186-2198.
[34] He X, Qin W, Liu Y, et al.Abnormal salience network in normal aging and in amnestic mild cognitive impairment and Alzheimer's disease[J]. Hum Brain Mapp, 2014, 35(7): 3446-3464.
[35] Supekar K, Menon V, Rubin D, et al.Network analysis of intrinsic functional brain connectivity in Alzheimer's disease[J]. PLoS Comput Biol, 2008, 4(6): 1-11.
[36] Damoiseaux JS, Prater KE, Miller BL, et al.Functional connectivity tracks clinical deterioration in Alzheimer's disease[J]. Neurobiol Aging, 2012, 33(4): 819-828.
[37] Qi Z, Wu X, Wang Z, et al.Impairment and compensation coexist in amnestic MCI default mode network[J]. Neuroimage, 2010, 50(1): 48-55.
[38] Gardini S, Venneri A, Sambataro F, et al.Increased functional connectivity in the default mode network in mild cognitive impairment: a maladaptive compensatory mechanism associated with poor semantic memory performance[J]. J Alzheimers Dis, 2015, 45(2): 457-470.
[39] Tuladhar AM, Snaphaan L, Shumskaya E, et al.Default mode network connectivity in stroke patients[J]. PLoS One, 2013, 8(6): e66556.
[40] Wang C, Qin W, Zhang J, et al.Altered functional organization within and between resting-state networks in chronic subcortical infarction[J]. J Cereb Blood Flow Metab, 2014, 34(4): 597-605.
[41] Dacostaaguayo R, Graña M, Savio A, et al.Prognostic value of changes in resting-state functional connectivity patterns in cognitive recovery after stroke: A 3T fMRI pilot study[J]. Hum Brain Mapp, 2014, 35(8): 3819.
[42] Dacosta-Aguayo R, Graña M, Iturria-Medina Y, et al.Impairment of functional integration of the default mode network correlates with cognitive outcome at three months after stroke[J]. Hum Brain Mapp, 2015, 36(2): 577.
[43] 马思懿,张宗军. 皮质下血管性认知功能障碍的脑默认网络静息态功能磁共振研究[J]. 医学影像学杂志, 2015(2): 189-193.
[44] 郭会映,孙芳,倪玲,等. 非痴呆型血管性认知功能障碍的结构及静息态功能磁共振研究[J]. 临床放射学杂志, 2014, 33(5): 657-661.
[45] Sheline YI, Raichle ME.Resting state functional connectivity in preclinical Alzheimer's disease[J]. Biological Psychiatry, 2013, 74(5): 340-347.
[46] Lim HK, Nebes R, Snitz B, et al.Regional amyloid burden and intrinsic connectivity networks in cognitively normal elderly subjects[J]. Brain, 2014, 137(Pt 12): 3327-3338.
[47] Cohen AD, Price JC, Weissfeld LA, et al.Basal cerebral metabolism may modulate the cognitive effects of Abeta in mild cognitive impairment: an example of brain reserve[J]. J Neurosci, 2009, 29(47): 14770-14778.
[48] Johnson SC, Christian BT, Okonkwo OC, et al.Amyloid burden and neural function in people at risk for Alzheimer's disease[J]. Neurobiol Aging, 2013, 35(3): 576-584.
[49] Sorg C, Riedl V, Mühlau M, et al.Selective changes of resting-state networks in individuals at risk for Alzheimer's disease[J]. Proc Natl Acad Sci U S A, 2007, 104(47): 18760-18765.
[50] Agosta F, Pievani M, Geroldi C, et al.Resting state fMRI in Alzheimer's disease: beyond the default mode network[J]. Neurobiol Aging, 2012, 33(8): 1564-1578.
[51] Zhou J, Greicius MD, Gennatas ED, et al.Divergent network connectivity changes in behavioural variant frontotemporal dementia and Alzheimer's disease[J]. Brain, 2010, 133(Pt 5): 1352-1367.

老年认知功能障碍患者默认网络、凸显网络和中央执行网络研究进展

Advance in Default Mode Network, Salience Network and Central Executive Network about Cognitive Function in Old Persons (review)

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	邵伟婷, 雷江华. 反应中断再定向干预孤独症谱系障碍儿童刻板语言的效果：Scoping综述[J]. 《中国康复理论与实践》, 2024, 30(1): 10-20.
[2]	王航宇, 葛可可, 范永红, 都丽露, 邹敏, 封磊. 基于ICD-11和ICF主动式音乐疗法改善认知障碍老年人认知功能的系统综述[J]. 《中国康复理论与实践》, 2024, 30(1): 36-43.
[3]	闻嘉宁, 金秋艳, 张琦, 李杰, 司琦. 认知参与型身体活动对发展儿童青少年执行功能的效果：基于ICF的系统综述[J]. 《中国康复理论与实践》, 2024, 30(1): 44-53.
[4]	葛可可, 范永红, 王航宇, 都丽露, 李长江, 邹敏. 失眠老年人正念干预健康效益的系统综述[J]. 《中国康复理论与实践》, 2024, 30(1): 54-60.
[5]	张婧雅, 邹敏, 孙宏伟, 孙昌隆, 朱峻同. 听障儿童青少年焦虑或抑郁情绪心理干预效果的系统综述[J]. 《中国康复理论与实践》, 2023, 29(9): 1004-1011.
[6]	王俊宇, 杨永, 袁逊, 谢婷, 庄洁. 高强度间歇训练对健康儿童青少年执行功能效果的系统综述[J]. 《中国康复理论与实践》, 2023, 29(9): 1012-1020.
[7]	魏晓微, 杨剑, 魏春艳. 特殊教育学校孤独症谱系障碍儿童参与适应性瑜伽活动的心理与行为效益的系统综述[J]. 《中国康复理论与实践》, 2023, 29(9): 1021-1028.
[8]	杨亚茹, 杨剑. 基于WHO-HPS架构学校身体活动相关健康服务及其健康效益：系统综述的系统综述[J]. 《中国康复理论与实践》, 2023, 29(9): 1040-1047.
[9]	史佳伟, 李凌宇, 杨浩杰, 王琴潞, 邹海欧. 预康复对全膝关节置换术后患者的有效性：系统综述的系统综述[J]. 《中国康复理论与实践》, 2023, 29(9): 1057-1064.
[10]	杨雅楠, 穆丽萍, 邢凤梅, 薛新宏, 王晓光, 陶徉聿, 孙竹梅, 张小丽. 基于计划行为理论的干预对肌少症老年人肌肉衰减状况及平衡能力的效果[J]. 《中国康复理论与实践》, 2023, 29(8): 869-874.
[11]	蒋长好, 黄辰, 高晓妍, 戴元富, 赵国明. 神经反馈训练对老年人认知功能效果的系统综述[J]. 《中国康复理论与实践》, 2023, 29(8): 903-909.
[12]	魏晓微, 杨剑, 魏春艳, 贺启令. 学校环境下适应性体育课程促进智力与发展性残疾儿童心理运动发展的系统综述[J]. 《中国康复理论与实践》, 2023, 29(8): 910-918.
[13]	张园, 杨剑. 基于世界卫生组织健康促进学校架构的学校健康服务及效果：Scoping综述[J]. 《中国康复理论与实践》, 2023, 29(7): 791-799.
[14]	王少璞, 陈钢. 基于世界卫生组织健康促进学校架构的心理行为健康服务及其健康效益：系统综述的系统综述[J]. 《中国康复理论与实践》, 2023, 29(7): 800-807.
[15]	谭晓欢, 姜桂萍, 黄芯怡, 王丹丹, 张磊, 卜庆国, 吴雪萍. 社区高龄老年人下肢肌力与步速的关系：柔韧和动态平衡的链式中介作用[J]. 《中国康复理论与实践》, 2023, 29(6): 646-653.