Sustained Attention Neuroimaging in Sleep Apnea
Sustained Attention Neuroimaging in Sleep Apnea
批准号:
10557102
负责人:
Ankit Ashok Parekh
金额:
$16.24万
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 regionCessation of lifeClinicalComplexContinuous Positive Airway PressureCouplingDataDevelopmentDoctor of PhilosophyDoseDrowsinessDrowsy DrivingElectroencephalographyEnsureExcessive Daytime SleepinessExperimental DesignsFeasibility StudiesFoundationsFunctional Magnetic Resonance ImagingFunctional disorderFundingGoalsGrantHospitalizationHypoxiaImpairmentIndividualIndividual DifferencesInternationalIntervention StudiesLearningLinkMapsMathematicsMeasuresMediatingMedicineMemoryMentorsMethodologyModelingNerve DegenerationNeurobiologyNeurologic DysfunctionsNeuropsychologyObstructive Sleep ApneaPatientsPerformancePrefrontal CortexPublic HealthReaction TimeResearchResearch PersonnelResidual stateRiskSeveritiesSleepSleep Apnea SyndromesSleep DeprivationSleep FragmentationsTestingThalamic structureTherapeuticTrainingUnited States National Institutes of HealthWithdrawalWorkcareercareer developmentdesigneducational atmosphereexperiencefunctional MRI scanhigh riskimage processingimaging biomarkerinter-individual variationmedical schoolsmultidisciplinarymultimodalityneurobehavioralneuroimagingneuromechanismnovelpatient oriented researchperformance testspredicting responsepressurerecruitrisk stratificationsignal processingsleep physiologysustained attentiontooltreatment responsevigilance
中文摘要
项目摘要/摘要:
拟议的培训补助金旨在促进Ankit Parekh博士的学术生涯,
博士学位,以他在应用数学(信号和图像处理)方面的强大背景为基础
并提供多学科培训,使他成为一名独立的量化
调查员。帕雷克博士的职业目标是进入睡眠医学的全日制学术研究
致力于开发阻塞性睡眠障碍患者日间嗜睡的定量生物标志物
睡眠呼吸暂停(OSA)。职业发展和培训:帕雷克博士的培训计划以
西奈山伊坎医学院卓越的研究和教育环境
(ISMMS)以及具有免费专业知识的国际知名导师。他的
初级指导团队由Indu Ayappa博士(睡眠生理学和
OSA的日间后果),David M.Rapoport,医学博士(OSA的病理生理学和
Andrew Varga,医学博士,博士(睡眠神经生物学、学习和记忆专家)和
Trey Hedden,博士(神经成像专家)。他的训练计划结合了精心制定的
1)实验设计和实践中的课程设计和实训经验
方法学,2)阻塞性睡眠呼吸暂停和嗜睡的病理生理学,3)神经影像。研究计划:
这项拟议的研究建立在帕雷克博士之前的工作和由
AASM和ISMMS。拟议研究的目的是了解潜在的
阻塞性睡眠呼吸暂停综合征患者警觉缺失的个体间变异性的原因及开发新方法
睡眠脑电生物标志物捕捉到了这种可变性。使用多式联运
方法包括睡眠脑电和日间功能磁共振,拟议的研究利用CPAP
戒断模型显示:1)警觉测试期间前额叶和丘脑的活动
调节睡眠脑电和第二天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)睡眠脑电的变化
将预测前额叶和丘脑活动的变化。圆满完成
培训和研究计划将使帕雷克博士能够独立地为
白天嗜睡的定量生物标志物的发展。
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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