Effects of Childhood Maltreatment on Research Domain Neurocircuits
Effects of Childhood Maltreatment on Research Domain Neurocircuits
批准号:
9520431
负责人:
MARTIN H TEICHER
金额:
$8.1万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-07-01 至 2019-06-30
关键词:
AffectAgeAge-YearsAmygdaloid structureAngerAnhedoniaAnxietyAnxiety DisordersAreaBrainBrain DiseasesBrain imagingBrain regionChildChild Abuse and NeglectChildhoodChronologyClinicalCommunitiesCorpus striatum structureCosts and BenefitsDataData SetDepressed moodDetectionDevelopmentDown-RegulationEmotionalExposure toFaceFunctional Magnetic Resonance ImagingFunctional disorderGenderHandHippocampus (Brain)HouseholdIndividualInterviewKnowledgeMRI ScansMapsMemoryMental DepressionMental disordersMissionMorphologyNational Institute of Mental HealthNegative ValenceNeurobiologyPathway interactionsPatternPersonalityPlayPopulation Attributable RisksPositive ValencePrefrontal CortexPsychiatric DiagnosisPsychopathologyRecording of previous eventsReportingResearchResearch Domain CriteriaRewardsRiskRisk FactorsRoleSamplingSchizophreniaSeveritiesStatistical MethodsStimulusStressStructureSymptomsSystemTechniquesTestingTimeVentral StriatumWorkanxiety symptomsbasebrain pathwayclinical Diagnosisdata miningearly life stressexperiencefightinginformation processinginterestmaltreated childrenmaltreatmentnegative affectneural circuitneurobiological mechanismneuroimagingnovel strategiesrecruitresponsereward anticipationsecondary analysissymptomatologyvisual stimulus
中文摘要
研究领域标准(RDoC)项目由NIMH发起,旨在提供一种新的方法
英文摘要
The Research Domain Criteria (RDoC) project was initiated by NIMH to provide a new approach to the
assessment of mental disorders that may better suit the research mission of the NIMH. RDoC is based on the
premise that mental illnesses are disorders of brain circuits, which consist of regions and pathways that work
together to accomplish particular tasks, and if altered can result in psychopathology. We are especially
interested in the impact of childhood maltreatment, as maltreatment and household dysfunction are the
leading preventable causes of mental illness. Our primary focus is to delineate critical and sensitive periods in
brain development when early life stress may alter RDoC-associated neurocircuits. Further, we have also
argued that maltreated and non-maltreated individuals with the same primary psychiatric diagnosis are
clinically and neurobiologically distinct. What this means is that brain imaging findings, such as reduced
hippocampal volume or heightened amygdala response, may be seen in depressed individuals with histories of
maltreatment but not in depressed individuals who were not maltreated. Hence, there is also a pressing need
to know whether RDoC-associated neurocircuit abnormalities associated with symptoms of anxiety or
anhedonia apply to all subjects or are specific to those with histories of maltreatment. Our aim is to test these
hypotheses through secondary analyses of a data set that consists of MRI scans from 340 unmedicated
individuals 18-25 years of age. These subjects were recruited from the community and have completed the
Maltreatment and Abuse Chronology of Exposure scale that provides retrospective data on severity of exposure
to ten types of maltreatment across each year of childhood. More than half of the total sample suffered from
depression or anxiety. Two circuits will be examined. One circuit plays an important role in detecting and
responding to threats and helps determine our fight of flight response. The other circuit is involved in
predicting and evaluating the cost/benefits of rewards in order to determine how hard to work for them.
Conventional statistical methods will be used to identify regions and pathways that are susceptible to early life
stress, and data mining techniques will then be used to delineate the type and time of maltreatment that had
the greatest effect on these structures. This information is important as it will enable us to understand what
types of exposure place children at greatest risk for anxiety and depression and their associated neurobiological
mechanisms. Further, this information may also reveal times when treatments may be most beneficial.
期刊论文(1)
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科研奖励(0)
会议论文
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