Sustained Attention Neuroimaging in Sleep Apnea
Sustained Attention Neuroimaging in Sleep Apnea
批准号:
10343780
负责人:
Ankit Ashok Parekh
金额:
$16.23万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-02-08 至 2026-01-31
关键词:
AdherenceAgeAreaBiological MarkersBrain regionClinicalComplexContinuous Positive Airway PressureCouplingDataDevelopmentDoctor of PhilosophyDoseDrowsinessDrowsy DrivingEducationElectroencephalographyEnsureEnvironmentExcessive Daytime SleepinessExperimental DesignsFeasibility StudiesFoundationsFunctional Magnetic Resonance ImagingFunctional disorderFundingGoalsGrantHospitalizationHypoxiaImpairmentIndividualIndividual DifferencesInternationalIntervention StudiesLeadLearningLinkMapsMathematicsMeasuresMediatingMedicineMemoryMentorsMethodologyModelingNerve DegenerationNeurobiologyNeurologic DysfunctionsNeuropsychologyObstructive Sleep ApneaPatientsPerformancePrefrontal CortexPsychomotor PerformancePublic HealthReaction TimeResearchResearch PersonnelResidual stateRiskSeveritiesSleepSleep Apnea SyndromesSleep DeprivationSleep FragmentationsTestingThalamic structureTherapeuticTimeTrainingUnited States National Institutes of HealthWithdrawalWorkcareercareer developmentdesignexperiencefunctional MRI scanhigh riskimage processingimaging biomarkerinter-individual variationmedical schoolsmultidisciplinarymultimodalityneurobehavioralneuroimagingneuromechanismnovelpatient oriented researchperformance testspredicting responsepressurerecruitrisk stratificationsignal processingsleep physiologysustained attentiontooltreatment responsevigilance
中文摘要
项目概要/摘要:
拟议的培训补助金旨在促进Ankit Parekh博士的学术生涯,
博士,通过建立在他强大的背景应用数学(信号和图像处理)
并提供多学科的培训,使他成为一个独立的定量
调查员帕雷克博士的职业目标是进入睡眠医学的全职学术研究
专门开发阻塞性肺疾病患者白天嗜睡的定量生物标志物,
睡眠呼吸暂停(OSA)。职业发展和培训:Parekh博士的培训计划包括
西奈山伊坎医学院杰出的研究和教育环境
(ISMMS)沿着的国际知名导师具有互补的专业知识。他
主要指导团队包括Indu Ayappa博士(睡眠生理学专家,
OSA的日间后果),大卫M. Rapoport,医学博士(OSA病理生理学专家,
Andrew Varga,MD,PhD(睡眠神经生物学、学习和记忆专家)和
Trey Hedden博士(神经影像学专家)。他的训练计划结合了
设计的课程和实践培训经验,1)实验设计和
方法学,2)OSA和嗜睡的病理生理学,和3)神经影像学。研究计划:
拟议的研究建立在Parekh博士先前的工作和试点可行性研究的基础上,
AASM和ISMMS拟议研究的目的是了解潜在的
OSA患者警惕性丧失的个体间差异的原因,并开发新的
定量睡眠EEG生物标志物的嗜睡,捕捉这种变化。使用多模态
方法涉及睡眠脑电图和白天功能磁共振成像,拟议的研究利用CPAP
戒断模型显示:1)警觉性测试期间的前额叶和丘脑活动
调解睡眠脑电图和第二天的警觉失误之间的关系。2)OSA是
与前额叶和丘脑活动减少有关3)睡眠脑电图的变化
OSA的变化可以预测前额叶和丘脑活动的变化。成功完成
培训和研究计划将使Parekh博士能够独立地为以下领域的研究做出贡献:
开发日间嗜睡的定量生物标志物。
英文摘要
Project Summary/Abstract:
The proposed training grant is designed to advance the academic career of Dr. Ankit Parekh,
PhD, by building on his strong background in applied mathematics (signal and image processing)
and providing multidisciplinary training which will allow him to become an independent quantitative
investigator. Dr. Parekh’s career goals are to enter full-time academic research in sleep medicine
with specialization in developing quantitative biomarkers for daytime sleepiness in obstructive
sleep apnea (OSA). Career development and training: Dr. Parekh’s training plan features an
outstanding research and education environment at the Icahn School of Medicine at Mount Sinai
(ISMMS) along with internationally renowned mentors having complimentary expertise. His
primary mentoring team comprises Drs. Indu Ayappa, PhD, (expert in sleep physiology and
daytime consequences of OSA), David M. Rapoport, MD, (expert in pathophysiology of OSA and
its treatment), Andrew Varga, MD, PhD, (expert in sleep neurobiology, learning and memory) and
Trey Hedden, PhD (expert in neuroimaging). His training plan features a combination of carefully
designed coursework and practical training experiences in 1) experimental design and
methodology, 2) pathophysiology of OSA and sleepiness, and 3) neuroimaging. Research plan:
The proposed research builds on Dr. Parekh’s prior work and pilot feasibility studies funded by
the AASM and ISMMS. The aims of the proposed research are to understand the underlying
causes of inter-individual variability in lapses in vigilance in OSA patients and develop novel
quantitative sleep EEG biomarkers for sleepiness that capture this variability. Using a multimodal
approach involving sleep EEG and daytime fMRI, the proposed research utilizes the CPAP
withdrawal model to show that: 1) Prefrontal and thalamic activity during vigilance testing
mediates the relationship between sleep EEG and next-day lapses in vigilance. 2) OSA is
associated with decreased prefrontal and thalamic activity. 3) Changes in sleep EEG as a result
of OSA will predict the changes in prefrontal and thalamic activity. Successful completion of the
training and research plan will allow Dr. Parekh to contribute independently to research in
development of quantitative biomarkers for daytime sleepiness.
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