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Exploring Cognitive Aging Using Reference Ability Neural Networks

使用参考能力神经网络探索认知老化

基本信息

批准号：
10645084
负责人：
Christian Georg Habeck
金额：
$ 243.43万
依托单位：
COLUMBIA UNIVERSITY HEALTH SCIENCES
依托单位国家：
美国
项目类别：
财政年份：
2011
资助国家：
美国
起止时间：
2011-09-01 至 2026-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10645084
关键词：
Address Adult Age Aging Alzheimer&apos s Disease Alzheimer&apos s disease risk Amyloid Appearance Atrophic Behavior Behavioral Brain Clinical Cognition Cognitive Cognitive aging Core-Binding Factor Data Dementia Deposition Disparate Education Elderly Episodic memory Evaluation Functional Imaging Functional Magnetic Resonance Imaging Funding Gait Genetic Goals Grant Health Image Incidence Individual Intelligence Life Liquid substance Longevity Longitudinal Studies Magnetic Resonance Imaging Measures Mediating Mediator Methods Modeling Multimodal Imaging Nature Outcome Participant Pathology Pattern Performance Personality Persons Phase Phenotype Positron-Emission Tomography Process Productivity Quality of life Research Research Personnel Resources Rest Series Societies Speed Statistical Data Interpretation Structure Testing Thick Time Vocabulary White Matter Hyperintensity age difference age effect age related aged base behavior change brain volume cognitive change cognitive function cognitive performance cognitive reserve cognitive task cognitive testing cohort dementia risk follow-up gray matter human old age (65+)imaging approach insight mild cognitive impairment neural neural correlate neural network neuroimaging polygenic risk score pre-clinical predictive modeling prognostic programs sex social structural imaging tau Proteins white matter

项目摘要

PROJECT SUMMARY: This study focus on the optimal functional and structural imaging characterization of the cognitive aging and preclinical Alzheimer's disease (AD). It has been repeatedly demonstrated that performance across the age span on large batteries of diverse cognitive tests can be parsimoniously represented by a set of four reference abilities: episodic memory, perceptual speed, fluid ability, and vocabulary. In contrast, neuroimaging researchers typically evaluate age differences in neural activation associated with the performance of a single specific task that may or may not be fully representative of these reference abilities. Successful identification of these "reference ability neural networks" may lead to a paradigm shift in research on the neural bases of age differences in cognition by focusing on the broad and replicable aspects common to several tasks rather than the possibly idiosyncratic features of individual tasks. We have identified the latent brain networks associated with each of the four reference abilities across adulthood. While undergoing functional imaging, we tested large group of healthy adults aged 20 to 80 with a series of 12 cognitive tasks that represent the four reference abilities (3 per construct). Using unique expertise in spatial covariance and other analyses of the fMRI imaging data, we have derived 4 latent spatial, brain-wide fMRI networks that are associated with the latent cognitive structure of the reference abilities across adulthood. We are presently following up this group at 5 years and beginning to delineate how expression of these networks changes with aging and with the onset of mild cognitive impairment and AD. We use multimodal imaging to evaluate potential mediators of age and dementia-related differences in the utilization of the networks. These include change in brain volume, cortical thickness, white matter hyperintensity burden; integrity of white matter tracts; resting CBF; and resting BOLD networks. Importantly, we use PET to assess amyloid and tau burden. We now propose to extend the follow up of this important cohort to 10 years. The proposed study develops a completely new imaging approach to the study of cognitive aging and preclinical AD and is also unique in its age span. It has the potential to provide key insights into the nature and causes of the neural changes that underlie cognitive aging and to more accurately describe the preclinical phase of AD.

项目概要：本研究的重点是认知老化的最佳功能和结构成像表征，临床前阿尔茨海默病（AD）。人们一再证明，不同认知测试大电池的跨度可以用一组四个参考来简单地表示能力：情景记忆、感知速度、流动能力和词汇量。相比之下，研究人员通常会评估与单个动作表现相关的神经激活的年龄差异。这些特定任务可能或可能不完全代表这些参考能力。成功识别这些“参照能力神经网络”可能会导致年龄神经基础研究的范式转变通过关注几项任务共同的广泛和可复制的方面，而不是个别任务可能具有的特殊特征。我们已经识别出了大脑的潜在网络四种参照能力中的每一种。在进行功能成像时，我们测试了大的一组年龄在20到80岁之间的健康成年人，他们接受了一系列12项认知任务，这些任务代表了四个参考任务。能力（每个结构3个）。利用空间协方差和功能磁共振成像的其他分析方面的独特专业知识数据，我们已经推导出4个潜在的空间，脑功能磁共振成像网络，与潜在的认知成年期的参考能力结构。我们目前正在对这组患者进行5年随访，开始描绘这些网络的表达如何随着衰老和轻度认知障碍和AD。我们使用多模式成像来评估年龄和痴呆症相关的网络利用差异。这些变化包括脑容量、皮质厚度、白色物质高强度负荷;白色物质束的完整性;静息CBF;和静息BOLD 网络.重要的是，我们使用PET来评估淀粉样蛋白和tau负荷。我们现在建议延长后续行动这一重要群体的寿命延长到10年。这项研究开发了一种全新的成像方法，它是认知老化和临床前AD研究的一部分，其年龄跨度也是独一无二的。它有可能提供关键的深入了解认知老化背后的神经变化的性质和原因，并更准确地描述AD的临床前阶段。

项目成果

期刊论文数量（12）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Age-Specific Activation Patterns and Inter-Subject Similarity During Verbal Working Memory Maintenance and Cognitive Reserve.

DOI：
10.3389/fpsyg.2022.852995
发表时间：
2022
期刊：
FRONTIERS IN PSYCHOLOGY
影响因子：
3.8
作者：
Habeck, Christian;Gazes, Yunglin;Stern, Yaakov
通讯作者：
Stern, Yaakov

Effects of aging on cognitive and brain inter-network integration patterns underlying usual and dual-task gait performance.

DOI：
10.3389/fnagi.2022.956744
发表时间：
2022
期刊：
Frontiers in aging neuroscience
影响因子：
4.8
作者：
通讯作者：

Sleep Polygenic Risk Score Is Associated with Cognitive Changes over Time.

DOI：
10.3390/genes13010063
发表时间：
2021-12-27
期刊：
Genes
影响因子：
3.5
作者：
Tsapanou A;Mourtzi N;Charisis S;Hatzimanolis A;Ntanasi E;Kosmidis MH;Yannakoulia M;Hadjigeorgiou G;Dardiotis E;Sakka P;Stern Y;Scarmeas N
通讯作者：
Scarmeas N

Task-based functional connectivity in aging: How task and connectivity methodology affect discovery of age effects.