BOLD and its discontents: age-differences in the neurophysiology of fMRI signal

BOLD 及其不满:fMRI 信号神经生理学的年龄差异

基本信息

  • 批准号:
    9134043
  • 负责人:
  • 金额:
    $ 32.81万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-09-01 至 2020-04-30
  • 项目状态:
    已结题

项目摘要

 DESCRIPTION (provided by applicant): Neurocognitive aging theories are based on age differences in blood-oxygen-level-dependent signal (BOLD) as measured with functional magnetic resonance imaging (fMRI). However, there is a growing recognition that BOLD age-changes result from many physiologic, neural, and cognitive factors that remain poorly understood and complicate interpretation of BOLD as a straightforward index of age-related neural change. More precise neurocognitive aging hypotheses can be formulated once the physiologic factors underlying age-related BOLD change are disentangled and measured separately. Three such factors are changes in cerebral blood flow (¿CBF), that deliver O2 to active neurons, change of the cerebral oxygen metabolism rate (¿CMRO2), an estimate of metabolic neural activity, and event-related potential (ERP), an estimate of post-synaptic neural activity. These factors have not been studied as extensively in aging as we propose to here. Using a dual-echo BOLD/ASL MRI pulse sequence, we have recently demonstrated that these important physiologic factors can be measured in brain aging studies, simultaneously with conventional BOLD signal. In this proposal, we plan to conduct a more systematic study to assess the relationship between age and task-evoked physiologic responses in blood flow, blood oxygenation, brain metabolism, as well as the influence of task-demand on these factors. We propose a general model on age-related changes in brain physiology that can reconcile diverse results in neurocognitive aging literature. We test the model in three Aims. Aims 1 and 2 are to measure age differences in visual and motor cortex BOLD, ERP, CMRO2, and CBF response to sensory and motor task-demands of varying strength. In Aim 3 we will assess the role of CBF-CMRO2 uncoupling in age- related working memory and processing speed changes. Achieving our grant aims will yield new knowledge about (1) basic mechanisms of age-changes in neural function, (2) age-related neural-vascular changes that give rise to BOLD changes, and (3) how these basic mechanisms are tied to performance.


项目成果

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专利数量(0)

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Hanzhang Lu其他文献

Hanzhang Lu的其他文献

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{{ truncateString('Hanzhang Lu', 18)}}的其他基金

ISMRM Workshop on Perfusion MRI: From Head to Toe
ISMRM 灌注 MRI 研讨会:从头到脚
  • 批准号:
    10391735
  • 财政年份:
    2022
  • 资助金额:
    $ 32.81万
  • 项目类别:
TRD1: Quantitative Imaging of Physiological Markers
TRD1:生理标志物的定量成像
  • 批准号:
    10614608
  • 财政年份:
    2021
  • 资助金额:
    $ 32.81万
  • 项目类别:
MRI Resource for Physiologic, Metabolic and Anatomic Biomarkers
生理、代谢和解剖生物标志物的 MRI 资源
  • 批准号:
    10614604
  • 财政年份:
    2021
  • 资助金额:
    $ 32.81万
  • 项目类别:
MRI Resource for Physiologic, Metabolic and Anatomic Biomarkers
生理、代谢和解剖生物标志物的 MRI 资源
  • 批准号:
    10439901
  • 财政年份:
    2021
  • 资助金额:
    $ 32.81万
  • 项目类别:
TRD1: Quantitative Imaging of Physiological Markers
TRD1:生理标志物的定量成像
  • 批准号:
    10439903
  • 财政年份:
    2021
  • 资助金额:
    $ 32.81万
  • 项目类别:
TRD1: Quantitative Imaging of Physiological Markers
TRD1:生理标志物的定量成像
  • 批准号:
    10270098
  • 财政年份:
    2021
  • 资助金额:
    $ 32.81万
  • 项目类别:
MRI Resource for Physiologic, Metabolic and Anatomic Biomarkers
生理、代谢和解剖生物标志物的 MRI 资源
  • 批准号:
    10270096
  • 财政年份:
    2021
  • 资助金额:
    $ 32.81万
  • 项目类别:
Blood-brain barrier dysfunction in Alzheimer's disease: from humans to animal models
阿尔茨海默病的血脑屏障功能障碍:从人类到动物模型
  • 批准号:
    10178195
  • 财政年份:
    2021
  • 资助金额:
    $ 32.81万
  • 项目类别:
Non-contrast MR imaging of blood-brain-barrier permeability in Alzheimer's disease
阿尔茨海默病血脑屏障通透性的非对比磁共振成像
  • 批准号:
    10621142
  • 财政年份:
    2020
  • 资助金额:
    $ 32.81万
  • 项目类别:
Non-contrast MR imaging of blood-brain-barrier permeability in Alzheimer's disease
阿尔茨海默病血脑屏障通透性的非对比磁共振成像
  • 批准号:
    10390475
  • 财政年份:
    2020
  • 资助金额:
    $ 32.81万
  • 项目类别:

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