Developmental Changes in Striatal Neurophysiology through Adolescence
Developmental Changes in Striatal Neurophysiology through Adolescence
批准号:
8839444
负责人:
BEATRIZ LUNA
金额:
$79.5万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-08-12 至 2020-02-29
关键词:
18 year oldAdolescenceAdolescentAdultAffectAnimal ModelAutomobile DrivingBehaviorBehavior assessmentBehavioralBrainComputer SimulationCorpus striatum structureDataDevelopmentDevelopmental ProcessDiffusionDiseaseDopamineEquilibriumEsthesiaFiberFunctional Magnetic Resonance ImagingGraphHumanImageInvestigationIronLeadLearningLinkMagnetic ResonanceMagnetic Resonance ImagingMeasuresMental disordersMetabolismMethodsMinorModelingMolecularMood DisordersMoodsMotivationMultimodal ImagingNeurobiologyPositron-Emission TomographyProcessPsychological reinforcementPsychopathologyPubertyRacloprideRelative (related person)ResearchRestRewardsRiskRisk-TakingSchizophreniaSubstance Use DisorderSubstance abuse problemSyndromeSystemTestingTimeTissuesVentral StriatumWorkbehavior influencebehavior measurementblood oxygen level dependentdihydrotetrabenazinedosagein vivoindexinginnovationlongitudinal designmotivational processesneurobiological mechanismneuroimagingneurophysiologynovelparent grantpostsynapticpresynapticpublic health relevanceradioligandrelating to nervous systemreward processingtheoriesyoung adult
中文摘要
描述(由申请人提供):从青春期到青年期的发育阶段与脆弱性相关,这些脆弱性会破坏生存(例如,冒险行为),并增加出现精神病理的风险(例如,药物滥用,情绪障碍和精神分裂症)。这些弱点可能与纹状体和多巴胺(DA)功能有关,后者支持动机系统并影响行为。在青春期,DA代谢和纹状体神经生理发生显著变化,纹状体在行为中具有更大的功能意义。迄今为止,纹状体动机系统成熟的研究仅限于动物模型、死后研究和间接神经影像学证据,限制了我们理解人类纹状体发育的神经生物学机制的能力。父母的研究发现,青少年时期奖励处理过程中纹状体功能的增加与感觉寻求指数有关,同时大脑网络的变化也表明青少年时期有一种独特的专一性。我们现在建议探索青春期纹状体变化的神经生物学机制,以及这些变化如何影响大脑系统和行为。我们将研究140名12至30岁的健康受试者,采用加速纵向设计,使用分子磁共振(mMR)扫描仪,同时提供磁共振成像(MRI)和正电子发射断层扫描(PET)数据。PET方法将量化从青年到中年DA的可用性和释放,而纹状体神经生理学的补充MRI测量将提供纹状体中奖励相关神经激活的指标,并通过量化脑功能和组织铁间接测量DA加工(Aim 1)。纹状体发育变化对脑系统的影响将通过将纹状体神经生理学测量与功能和结构脑网络连接联系起来来表征(目的2)。神经生物学变化将与动机的行为测量相关联,包括多巴胺能对强化学习的影响的计算模型(目的3)。这项工作将为从青春期过渡到成年期的神经生物学过程模型提供信息,该模型可以阐明这一时期精神病理学的发展和冒险行为的增加。
英文摘要
DESCRIPTION (provided by applicant): The developmental period from adolescence to young adulthood is associated with vulnerabilities that undermine survival (e.g., risk-taking behaviors) and increase the risk for the emergence of psychopathology (e.g., substance abuse, mood disorders, and schizophrenia). These vulnerabilities may be specifically linked with striatal and dopamine (DA) function, which support motivational systems and influence behavior. During adolescence, DA metabolism and striatal neurophysiology change significantly, and the striatum takes on greater functional significance in behavior. To date, research on the maturation of striatal motivational systems has been restricted to animal models, post mortem studies, and indirect neuroimaging evidence, limiting our ability to understand the neurobiological mechanisms of striatal development in humans. The parent grant identified increases in striatal function during reward processing in the adolescent period that were associated with indices of sensation seeking, as well as changes in brain networks suggesting a unique specialization in adolescence. We now propose to probe the neurobiological mechanisms underlying striatal changes in adolescence and how these affect brain systems and behavior. We will study 140 12- to 30-year-old healthy subjects in an accelerated longitudinal design using a molecular magnetic resonance (mMR) scanner that provides simultaneous magnetic resonance imaging (MRI) and positron emission tomography (PET) data. PET methods will quantify DA availability and release from young to middle adulthood, whereas complementary MRI measures of striatal neurophysiology will provide indices of reward-related neural activation in the striatum and indirect measures of DA processing via quantification of brain function and tissue iron (Aim 1). The effects of developmental changes in the striatum on brain systems will be characterized by linking striatal neurophysiology measures with functional and structural brain network connectivity (Aim 2). Neurobiological changes will be linked with behavioral measures of motivation, including a computational model of dopaminergic effects on reinforcement learning (Aim 3). This work will inform a model of the neurobiological processes underlying the transition from adolescence to adulthood that can clarify the development of psychopathology and increased risk-taking during this time.
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会议论文
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