1H and 31P MR Spectroscopy of Hippocampal Hyperactivity in Aging and MCI

衰老和 MCI 中海马过度活跃的 1H 和 31P 磁共振波谱

• 批准号: 9273316
• 负责人: Craig E Stark
• 金额: $ 19.31万
• 依托单位: UNIVERSITY OF CALIFORNIA-IRVINE
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-05-15 至 2019-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9273316
• 关键词: Age; Aging; Alzheimer' s Disease; Antiepileptic Agents; Behavioral; Biological Markers; Brain; Cellular Structures; Choline; Classification; Cognitive; Creatine; Dementia; Discrimination; Dose; Exhibits; Face; Functional Magnetic Resonance Imaging; Glutamates; Glutamine; Goals; Hippocampus (Brain); Human; Hyperactive behavior; Image; Impaired cognition; Incidence; Individual; Inositol; Investigation; Lead; Link; Longevity; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Measurement; Measures; Medial; Memory; Memory Loss; Metabolic; Modeling; Molecular; N-acetylaspartate; Names; Nature; Neurobiology; Neurocognitive; Neurons; Neuropsychology; Pathologic; Pathology; Pathway interactions; Patients; Pattern; Performance; Phosphate Buffer; Phosphocreatine; Phosphorus; Population; Prevention; Psyche structure; Public Health; Recurrence; Research; Rest; Risk Factors; Rodent; Rodent Model; Scanning; Slice; Source; Structure; Synaptic Transmission; System; Temporal Lobe; Testing; Time; Vascular Dementia; Work; age effect; age related; aged; aging brain; amnestic mild cognitive impairment; base; gamma-Aminobutyric Acid; human data; imaging modality; improved; indexing; insight; neuromechanism; novel; pre-clinical; public health relevance; relating to nervous system; response; spectroscopic imaging

 DESCRIPTION (provided by applicant): Our memory changes as we age. Age-related memory decline in and of itself represents a significant public health impact, but cognitive decline - and in particular memory decline - has been shown to be an important risk factor for Alzheimer's Disease (AD). Examining neurocognitive aging will help us better characterize pathological and non-­pathological changes in the brain throughout the lifespan and identify preclinical markers for cognitive decline. The goal of this proposal is to test key predictions of neurocognitive model of aging and amnestic Mild Cognitive Impairment (aMCI) that suggests changes in connectivity and activity within structures in the MTL underlie behavioral deficits in memory. In particular, in both rodent and human studies, the hippocampus exhibits "hyperactivity" - a potentially dysfunctional state that has been tied to behavioral shifts away from successful mnemonic discrimination (derived from pattern separation and leading to accurate memory for details) and towards over-­generalization (derived from pattern completion). To this end, reduction of this hyperactivity in aMCI using a low-­dose antiepileptic s associated with improved performance in a mnemonic discrimination task that we have used many times to index hippocampal function and age-­ and aMCI-­related changes. Without the direct recording of hyperactivity possible in rodents, human studies have often relied on the indirect and relative measures provided by BOLD fMRI. Here, we propose a directed, novel, metabolic investigation into the neuronal pathways responsible for this hyperactivity to determine the applicability of the rodent model. Using magnetic resonance imaging spectroscopy (MRS) and metabolite imaging methods, we aim to measure the metabolic signatures for excitatory and inhibitory activity (e.g. GABA, glutamate, choline, etc.), testing th hypothesis that hippocampal hyperactivity arises from the release of inhibition on the CA3 recurrent collaterals within the hippocampus, leading to an increase in excitatory activity and a decrease in inhibitory activity when the hippocampus is actively processing new information. We propose utilizing two MRS scans, 1H-­MRS and 31P-­MRS to determine which scan is more sensitive to this hyperactivity. Finally, we will evaluate if these MRS measures of hyperactivity have an inverse relationship with performance on several hippocampal-­dependent memory tasks, known to be sensitive to aging and MCI.