Use of 7T multimodal imaging to detect brain changes associated with light therapy in persons with mild cognitive impairment and mild Alzheimer's Disease
使用 7T 多模态成像检测轻度认知障碍和轻度阿尔茨海默病患者与光疗相关的大脑变化
基本信息
- 批准号:10673010
- 负责人:
- 金额:$ 21.13万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-08-01 至 2024-07-31
- 项目状态:已结题
- 来源:
- 关键词:AffectAgitationAlzheimer&aposs DiseaseAlzheimer&aposs disease pathologyAlzheimer&aposs disease patientAlzheimer&aposs disease related dementiaAlzheimer&aposs disease riskAmygdaloid structureAmyloid beta-ProteinAnatomyAtrophicBiological ClocksBlood flowBrainBrain regionChronobiologyCognitionCognitiveDementiaDiffusionDimensionsDisease ProgressionElderlyExposure toFunctional disorderHippocampusHypothalamic structureImageLightMagnetic Resonance ImagingMeasurableMeasurementMeasuresMemoryMental DepressionMethodsMonitorMoodsMultimodal ImagingNeurobiologyNeuronal PlasticityNeuropsychologyNursing HomesPatientsPerfusionPersonsPhototherapyPositron-Emission TomographyProtocols documentationQuality of lifeResolutionRetinaRetinal Ganglion CellsRiskSleepSleep DeprivationStructureTechniquesTestingTherapeutic InterventionVentral Tegmental AreaWorkWristactigraphybehavioral outcomecerebral atrophycomparison controlcontrast imagingdesigngraph theoryhealthy agingimaging studyimprovedimprovement on sleepinsightlight effectslocus ceruleus structurelong term memorymagnetic fieldmild cognitive impairmentmultidisciplinarymultimodalitynervous system disorderneuroimagingneurotransmissionpathological agingpoor sleepquantitative imagingsleep physiologysleep qualitysleep quantitysuprachiasmatic nucleustool
项目摘要
PROJECT SUMMARY/ABSTRACT
Poor sleep is associated with decreased memory functioning in older adults, including those with mild cognitive
impairment (MCI) and Alzheimer’s disease (AD) and related dementias (ADRD), which diminishes sleep’s
critical contribution to cognitive processing and memory in healthy and pathological aging. Our team has
developed an effective lighting intervention therapy (LIT) for improving sleep and behavioral outcomes in
ADRD patients living in nursing homes, but the mechanisms by which LIT works in the brain are not completely
understood. To understand the mechanisms by which LIT benefits these patients, a sensitive and precise tool is
required to detect and measure changes in the volumes, connectivity, and function of key brain regions. The
current application proposes to use high-resolution multi-modal 7T imaging to investigate the impact of LIT on
sleep physiology and brain structure, function, and connectivity in MCI and mild AD patients. This technique
will enable us to produce exceptionally high-resolution, high-contrast images that reveal subtle structural and
functional abnormalities that are below the detectability threshold of conventional MRI. Through the study’s 2
aims, we will test the following hypotheses: 1) LIT will induce measurable effects on brain regions and circuits
associated with AD pathology; 2) LIT will improve sleep quantity and quality, cognition, mood, and quality of
life compared to controls; 3) these improvements will correlate with quantitative difference measurements; and
4) LIT will show reduced effects on brain structures compared to control. Aim 1 will comprise a longitudinal
crossover 7T imaging study applying the active and control LITs on a group of 25 patients with MCI or mild AD
along with an optimized multi-modal 7T imaging protocol designed to capture the anatomy involved in AD
pathophysiology and light exposure, measuring the LIT’s effect on sleep and cognition. Aim 2 will analyze
correlations between the pre- and post-active and control lighting interventions’ differences in quantitative
imaging measures (regional volumes, functional and diffusion connectivity, and graph theory metrics) and PET,
sleep (actigraphy) and neuropsychological measures. This is the first application of imaging to track the effect
of LIT in MCI and mild AD. We plan to apply 7T imaging to provide a highly sensitive window into the degree
to which LIT may improve sleep and cognition and potentially delay disease progression and improve quality
of life for patients with MCI and AD.
项目总结/文摘
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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Priti Balchandani其他文献
Priti Balchandani的其他文献
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{{ truncateString('Priti Balchandani', 18)}}的其他基金
Gut-brain axis in Alzheimer's disease: translational 7T MRI markers and underlying mechanisms
阿尔茨海默病中的肠脑轴:转化 7T MRI 标记物和潜在机制
- 批准号:
10901013 - 财政年份:2023
- 资助金额:
$ 21.13万 - 项目类别:
Visualizing trigeminal neuralgia at 7 Tesla: Advancing etiological understanding and improving future clinical imaging protocols
7 特斯拉可视化三叉神经痛:促进病因学理解并改进未来的临床成像方案
- 批准号:
10667246 - 财政年份:2022
- 资助金额:
$ 21.13万 - 项目类别:
Use of 7T multimodal imaging to detect brain changes associated with light therapy in persons with mild cognitive impairment and mild Alzheimer's Disease
使用 7T 多模态成像检测轻度认知障碍和轻度阿尔茨海默病患者与光疗相关的大脑变化
- 批准号:
10539558 - 财政年份:2022
- 资助金额:
$ 21.13万 - 项目类别:
7T Neurosurgical Mapping Protocol for Endoscopic Resection of Skull Base Tumors
颅底肿瘤内镜切除的 7T 神经外科标测方案
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10175768 - 财政年份:2020
- 资助金额:
$ 21.13万 - 项目类别:
Transdiagnostic Multimodal 7 Tesla MRI of the Locus Coeruleus in Human Pathological Anxiety
人类病理性焦虑中蓝斑的跨诊断多模态 7 特斯拉 MRI
- 批准号:
10535458 - 财政年份:2019
- 资助金额:
$ 21.13万 - 项目类别:
Transdiagnostic Multimodal 7 Tesla MRI of the Locus Coeruleus in Human Pathological Anxiety
人类病理性焦虑中蓝斑的跨诊断多模态 7 特斯拉 MRI
- 批准号:
10685147 - 财政年份:2019
- 资助金额:
$ 21.13万 - 项目类别:
Transdiagnostic Multimodal 7 Tesla MRI of the Locus Coeruleus in Human Pathological Anxiety
人类病理性焦虑中蓝斑的跨诊断多模态 7 特斯拉 MRI
- 批准号:
9894859 - 财政年份:2019
- 资助金额:
$ 21.13万 - 项目类别:
Transdiagnostic Multimodal 7 Tesla MRI of the Locus Coeruleus in Human Pathological Anxiety
人类病理性焦虑中蓝斑的跨诊断多模态 7 特斯拉 MRI
- 批准号:
10318599 - 财政年份:2019
- 资助金额:
$ 21.13万 - 项目类别:
7T Neurosurgical Mapping Protocol for Endoscopic Resection of Skull Base Tumors
颅底肿瘤内镜切除的 7T 神经外科标测方案
- 批准号:
9259952 - 财政年份:2016
- 资助金额:
$ 21.13万 - 项目类别:
7T Neurosurgical Mapping Protocol for Endoscopic Resection of Skull Base Tumors
颅底肿瘤内镜切除的 7T 神经外科标测方案
- 批准号:
9893822 - 财政年份:2016
- 资助金额:
$ 21.13万 - 项目类别:
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