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连接老年人的记忆和功能大脑网络:一项静息态 fMRI 研究。

Connecting memory and functional brain networks in older adults: a resting-state fMRI study.

机构信息

Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, PO Box 100196, 1249 Center Drive, Gainesville, FL, 32610-0165, USA.

Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA.

出版信息

Geroscience. 2023 Oct;45(5):3079-3093. doi: 10.1007/s11357-023-00967-3. Epub 2023 Oct 10.

Abstract

Limited research exists on the association between resting-state functional network connectivity in the brain and learning and memory processes in advanced age. This study examined within-network connectivity of cingulo-opercular (CON), frontoparietal control (FPCN), and default mode (DMN) networks, and verbal and visuospatial learning and memory in older adults. Across domains, we hypothesized that greater CON and FPCN connectivity would associate with better learning, and greater DMN connectivity would associate with better memory. A total of 330 healthy older adults (age range = 65-89) underwent resting-state fMRI and completed the Hopkins Verbal Learning Test-Revised (HVLT-R) and Brief Visuospatial Memory Test-Revised (BVMT-R) in a randomized clinical trial. Total and delayed recall scores were assessed from baseline data, and a learning ratio calculation was applied to participants' scores. Average CON, FPCN, and DMN connectivity values were obtained with CONN Toolbox. Hierarchical regressions controlled for sex, race, ethnicity, years of education, and scanner site, as this was a multi-site study. Greater within-network CON connectivity was associated with better verbal learning (HVLT-R Total Recall, Learning Ratio), visuospatial learning (BVMT-R Total Recall), and visuospatial memory (BVMT-R Delayed Recall). Greater FPCN connectivity was associated with better visuospatial learning (BVMT-R Learning Ratio) but did not survive multiple comparison correction. DMN connectivity was not associated with these measures of learning and memory. CON may make small but unique contributions to learning and memory across domains, making it a valuable target in future longitudinal studies and interventions to attenuate memory decline. Further research is necessary to understand the role of FPCN in learning and memory.

摘要

关于大脑静息态功能网络连接与老年学习和记忆过程之间的关系,相关研究有限。本研究考察了扣带-顶叶(CON)、额顶控制(FPCN)和默认模式(DMN)网络内的连接性,以及老年人的言语和视空间学习和记忆。在各个领域,我们假设 CON 和 FPCN 连接性越强,学习能力越好,DMN 连接性越强,记忆力越好。共有 330 名健康老年人(年龄 65-89 岁)参加了静息态 fMRI 检查,并在一项随机临床试验中完成了霍普金斯言语学习测试修订版(HVLT-R)和简短视觉空间记忆测试修订版(BVMT-R)。从基线数据评估总回忆和延迟回忆评分,并对参与者的分数应用学习比率计算。使用 CONN Toolbox 获得 CON、FPCN 和 DMN 的平均连接性值。分层回归控制了性别、种族、民族、受教育年限和扫描仪位置,因为这是一项多站点研究。更强的网络内 CON 连接性与更好的言语学习(HVLT-R 总回忆、学习比率)、视空间学习(BVMT-R 总回忆)和视空间记忆(BVMT-R 延迟回忆)相关。更强的 FPCN 连接性与更好的视空间学习(BVMT-R 学习比率)相关,但未通过多重比较校正。DMN 连接性与这些学习和记忆测量值无关。CON 可能在各个领域对学习和记忆都有微小但独特的贡献,因此在未来的纵向研究和干预措施中,它是一个有价值的目标,可以减轻记忆衰退。需要进一步研究以了解 FPCN 在学习和记忆中的作用。

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