Behavioral an(j Neural Markers of Attentional Control: Antecedents for AD
注意力控制的行为和神经标记:AD 的前因
基本信息
- 批准号:8287323
- 负责人:
- 金额:$ 20.58万
- 依托单位:
- 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:2011-09-30 至 2016-08-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAdultAdult ChildrenAlzheimer&aposs DiseaseApolipoprotein EAttentionBehaviorBehavioralBiological MarkersBiological Neural NetworksCharacteristicsChildCognitiveCohort StudiesComplementComputer SimulationCross-Sectional StudiesDiagnosticDiffusionDiseaseDisease MarkerDisease ProgressionElderlyFamilyFingersFunctional Magnetic Resonance ImagingImageIndividualInstructionLinkLongitudinal StudiesMeasuresMemoryMindModelingNatureNeurotic DisordersParticipantPatternPerformancePersonalityPersonality TraitsPittsburgh Compound-BProceduresProcessReaction TimeRecording of previous eventsResearchResearch PersonnelResponse LatenciesRestRiskRisk FactorsRisk MarkerRoleSamplingSpeedStagingSystemThinkingTime StudyWeightbrain behaviorcognitive changeexecutive functionhealthy agingimprovedmiddle agepre-clinicalprogramsrelating to nervous systemresponse
项目摘要
There is accumulating evidence of a breakdown in attentional control systems and consequent increases
in reaction time (RT) variability that may reflect a prodromal stage of Alzheimer's disease (AD). Recent
evidence indicates that tasks which place a high load on attentional systems are particularly useful in (a)
serving as a behavioral marker in discriminafing healthy aging from early stage DAT, (b) predicfing later
conversion in a group of healthy middle-aged/older adults, and (c) showing relafionships with other
biomarkers in healthy control individuals. The proposed research will continue to longitudinally follow the
adult child sample, who have well-characterized risk for developing symptomatic AD, to address the
following issues: First, we will examine a set of cognitive tasks that target attentional selection, executive
control, and attentional control contributions to memory performance and relate these measures to the
accumulafing biomarkers from the other projects and cores (e.g., PIB, CSF measures, AP0E4 status,
structural and resting state fMRI measures). Second, we will explore subtle characteristics of RT
distribufional performance utilizing ex-Gaussian analyses and the diffusion model to examine the extent to
which distinct parameters are useful prodromal markers for risk for developing AD. Third, we will use both a
Sustained Attention to Respond task (SART) and a simple repetitive finger tapping task as behavioral
markers for momentary fiuctuafions in task disengagement to irrelevant thoughts (i.e., mind wandering).
Fourth, we will measure the task related neural response (via fMRI) in both a Stroop and Encoding
Subsequent Memory paradigm to determine if attentional and/or default mode neural networks begin to be
compromised before there is disruption in cognitive performance and relate these results to the biomarkers
developing in the other projects, especially the resting state fcMRI studies in Project 4. Fifth, we will
examine the extent to which personality characterisfics are related to the attenfional control mechanisms,
and modulate the brain-behavior relafionships. The convergence across these aims, projects, and cores in
the confinuing longitudinal study of the Adult Children Study cohort affords a unique opportunity to develop
an understanding of the multi-faceted nature of the earliest bio-behavioral changes associated with AD.
越来越多的证据表明注意力控制系统崩溃并随之而来
反应时间(RT)变异性可能反映阿尔茨海默病(AD)的前驱阶段。最近的
有证据表明,对注意力系统造成高负荷的任务在以下方面特别有用:
作为区分健康衰老与早期 DAT 的行为标记,(b) 预测后期
一组健康的中年/老年人的转变,以及(c)表现出与其他人的关系
健康对照个体的生物标志物。拟议的研究将继续纵向跟踪
成年儿童样本,他们具有发展症状 AD 的明确风险,以解决
以下问题:首先,我们将研究一组针对注意力选择、执行能力的认知任务
控制和注意力控制对记忆表现的贡献,并将这些措施与
积累来自其他项目和核心的生物标志物(例如 PIB、CSF 测量、AP0E4 状态、
结构和静息态功能磁共振成像测量)。其次,我们将探讨RT的微妙特征
利用前高斯分析和扩散模型来检查分布性能
哪些不同的参数是 AD 风险的有用前驱标志物。第三,我们将使用
持续注意反应任务(SART)和简单重复的手指敲击任务作为行为
任务脱离到不相关的想法(即走神)的短暂波动的标记。
第四,我们将在 Stroop 和 Encoding 中测量任务相关的神经反应(通过 fMRI)
随后的记忆范式确定注意力和/或默认模式神经网络是否开始
在认知表现受到破坏之前就受到损害,并将这些结果与生物标志物联系起来
其他项目正在开发中,特别是项目 4 中的静息态 fcMRI 研究。第五,我们将
检查人格特征与注意力控制机制的相关程度,
并调节大脑行为关系。这些目标、项目和核心的融合
成人儿童研究队列的持续纵向研究提供了独特的发展机会
了解与 AD 相关的最早生物行为变化的多方面性质。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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David A Balota其他文献
Development of a checklist for cognitive assessment requirements (CARE) based on a Delphi consensus study
- DOI:
10.1038/s41598-025-87380-2 - 发表时间:
2025-01-24 - 期刊:
- 影响因子:3.900
- 作者:
Vahid Nejati;Reza Estaji;Vicent Balanzá-Martínez;David A Balota;Suzanne Barker-Collo;Morris Bell;Jacquelyn H Berry;Khatereh Borhani;Munro Cullum;Anthony Feinstein;Charles J Golden;Raul Gonzalez;Jordan Henry Grafman;Steven D Hollon;Petra Jansen;Nicole A Kochan;Ryan Van Patten;Olivier Piguet;Sarah A Raskin;Sean B. Rourke;Andrew Scholey;Yaakov Stern;Steven Paul Woods;Michael I. Posner - 通讯作者:
Michael I. Posner
David A Balota的其他文献
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{{ truncateString('David A Balota', 18)}}的其他基金
MARKERS FOR DAT: CONTROL, VARIABILITY AND PERSONALITY
DAT 的标记:控制、可变性和个性
- 批准号:
7578740 - 财政年份:2009
- 资助金额:
$ 20.58万 - 项目类别:
ATTENTIONAL PROFILES AS AN EARLY MARKER FOR DAT
注意力概况作为 DAT 的早期标记
- 批准号:
6989341 - 财政年份:2005
- 资助金额:
$ 20.58万 - 项目类别:
Behavioral an(j Neural Markers of Attentional Control: Antecedents for AD
注意力控制的行为和神经标记:AD 的前因
- 批准号:
8522089 - 财政年份:2005
- 资助金额:
$ 20.58万 - 项目类别:
ATTENTION PROFILES IN HEALTHY AGING AND EARLY STAGE DAT
健康老龄化和早期 DAT 的注意力概况
- 批准号:
6697843 - 财政年份:2004
- 资助金额:
$ 20.58万 - 项目类别:
FRONTAL CONTROL /MEMORY IN AGING & SENILE DEMENTIA OF THE ALZHEIMER'S TYPE
前端控制/内存老化
- 批准号:
6563253 - 财政年份:2002
- 资助金额:
$ 20.58万 - 项目类别:
FRONTAL CONTROL /MEMORY IN AGING & SENILE DEMENTIA OF THE ALZHEIMER'S TYPE
前端控制/内存老化
- 批准号:
6299230 - 财政年份:2000
- 资助金额:
$ 20.58万 - 项目类别:
FRONTAL CONTROL /MEMORY IN AGING & SENILE DEMENTIA OF THE ALZHEIMER'S TYPE
前端控制/内存老化
- 批准号:
6097952 - 财政年份:1999
- 资助金额:
$ 20.58万 - 项目类别:
INHIBITORY CONTROL IN HEALTHY AGING AND SENILE DEMENTIA OF THE ALZHEIMER'S TYPE
健康老龄化和阿尔茨海默型老年痴呆症的抑制控制
- 批准号:
6267200 - 财政年份:1998
- 资助金额:
$ 20.58万 - 项目类别:
INHIBITORY CONTROL IN HEALTHY AGING AND SENILE DEMENTIA OF THE ALZHEIMER'S TYPE
健康老龄化和阿尔茨海默型老年痴呆症的抑制控制
- 批准号:
6233963 - 财政年份:1997
- 资助金额:
$ 20.58万 - 项目类别:
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