Linking the Development of Association Cortex Plasticity to Trans-Diagnostic Psychopathology in Youth
Linking the Development of Association Cortex Plasticity to Trans-Diagnostic Psychopathology in Youth
批准号:
10799882
负责人:
Danielle Smith Bassett
金额:
$80.94万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
未结题
起止时间:
2018-06-01 至 2028-07-31
关键词:
AbbreviationsAccelerationAdolescenceAnimal ModelAnimalsArtificial IntelligenceBiologicalBrainChildhoodCoupledDataData SetDevelopmentDiagnosticEnsureEnvironmentFosteringFunctional Magnetic Resonance ImagingGrowthHumanImageIndividualIndividual DifferencesInformation TheoryInfrastructureInterventionIntervention TrialKnowledgeLinkMachine LearningMapsMeasuresMediatingMediationMental HealthModelingMusMyelinNatureNeurosciencesParticipantPatternPersonsPsychometricsPsychopathologyPublic HealthPublicationsResearchResearch PersonnelRiskRisk FactorsScienceSensorySocioeconomic StatusTestingWorkYouthassociation cortexcostdata resourcedevelopmental plasticitydevelopmental psychologydisabilityemotional functioningexperienceinnovationlow socioeconomic statusmultidimensional datamyelinationneuralneural circuitneuroimagingneuroinformaticsneurotransmissionnon-invasive imagingnovelprogramspsychiatric symptomresiliencespatiotemporalstatisticsyoung adult
中文摘要
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英文摘要
PROJECT SUMMARY
Association cortex undergoes protracted development throughout childhood and adolescence. This
extended window of association cortex plasticity is understood to enhance executive and socioemotional
functioning, whereas experiences that diminish plasticity—such as environmental adversity—confer risk for
psychopathology. At present, the biological origins of prolonged association cortex plasticity in humans remain
under characterized, precluding a mechanistic understanding of how neurodevelopmental malleability interacts
with the environment to foster either resilience or psychiatric vulnerability. Animal studies of cortical plasticity
have identified maturational increases in inhibitory neurotransmission and cortical myelination as two key
biological regulators of plasticity. As inhibition and myelination increase and the murine cortex transitions from
plastic to mature, intrinsic cortical activity transitions from widespread and synchronized (producing high
amplitude neural recordings) to suppressed and sparse — producing low amplitude recordings. This
development-linked shift in intrinsic activity amplitude thus provides an animal model-informed, functional
readout of local circuit plasticity. We recently leveraged this functional marker in humans and found that
declines in the amplitude of intrinsic fMRI fluctuations (termed fluctuation amplitude) were coupled to the
maturation of cortical myelin and temporally unfolded along a hierarchical, sensorimotor-association cortical
axis (Sydnor et al., Nature Neuroscience 2023). Here we will map the normative progression of developmental
plasticity from sensory to association cortex and link precocious reductions in association cortex plasticity to
transdiagnostic overall psychopathology. Building upon our initial work examining plasticity measures in one
cross-sectional dataset, we propose to generalize our findings to two additional cross-sectional datasets (the
HCP-Development and the Healthy Brain Network; total n=6,530) and map within-participant change using the
ABCD study (n=11,563). These datasets will allow us to comprehensively map the development of our
functional measure of plasticity (Aim 1) and link it to both the development of a major plasticity restricting factor
(intracortical myelin; Aim 2). Next, we will determine whether lower socioeconomic status (SES) is associated
with accelerated closure of plasticity in association cortex (Aim 3), and finally delineate links to trans-diagnostic
overall psychopathology (Aim 4). This research program capitalizes upon a highly successful first project
period (>60 publications) and robust preliminary data and a highly cohesive team of UPenn investigators with
expertise in neurodevelopmental psychopathology and neuroinformatics (Satterthwaite), network science and
machine learning (Bassett), imaging statistics (Shinohara), psychometrics (Moore), and developmental
psychology (Mackey). Together, this innovative proposal will provide compelling evidence that development of
association cortex plasticity is critical for transdiagnostic psychopathology.
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DOI:
10.1016/j.comppsych.2023.152413
发表时间:
2023-11
期刊:
COMPREHENSIVE PSYCHIATRY
影响因子:
7.3
作者:
[Didier, Paige R., Moore, Tyler M., Calkins, Monica E., Prettyman, Greer, Levinson, Tess, Savage, Chloe, Leme, Luis Fernando Viegas de Moraes, Kohler, Christian G., Kable, Joseph, Satterthwaite, Theodore, Gur, Ruben C., Gur, Raquel E., Wolf, Daniel H.]
通讯作者:
Wolf, Daniel H.
DOI:
10.1002/hbm.25577
发表时间:
2021-11
期刊:
Human brain mapping
影响因子:
4.8
作者:
[Weinstein SM, Vandekar SN, Adebimpe A, Tapera TM, Robert-Fitzgerald T, Gur RC, Gur RE, Raznahan A, Satterthwaite TD, Alexander-Bloch AF, Shinohara RT]
通讯作者:
Shinohara RT
DOI:
10.1038/s41596-018-0065-y
发表时间:
2018-12
期刊:
Nature protocols
影响因子:
14.8
作者:
[Ciric R, Rosen AFG, Erus G, Cieslak M, Adebimpe A, Cook PA, Bassett DS, Davatzikos C, Wolf DH, Satterthwaite TD]
通讯作者:
Satterthwaite TD
DOI:
10.1038/s42003-020-0961-x
发表时间:
2020-05-22
期刊:
COMMUNICATIONS BIOLOGY
影响因子:
5.9
作者:
[Cornblath, Eli J., Ashourvan, Arian, Bassett, Danielle S.]
通讯作者:
Bassett, Danielle S.
DOI:
10.1016/j.neuroimage.2018.11.048
发表时间:
2019-03-01
期刊:
NEUROIMAGE
影响因子:
5.7
作者:
[Cornblath, Eli J., Tang, Evelyn, Bassett, Danielle S.]
通讯作者:
Bassett, Danielle S.
共 26 条
Guiding epilepsy surgery using network models and Stereo EEG
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资助金额:$3.57万
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财政年份:2023
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Guiding epilepsy surgery using network models and Stereo EEG
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资助金额:$64.48万
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财政年份:2022
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Guiding epilepsy surgery using network models and Stereo EEG
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Development and validation of a computational model of higher-order statistical learning on graphs in humans
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CRCNS: US-France Data Sharing Proposal: Lowering the barrier of entry to network neuroscience
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资助金额:$21.86万
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依托单位:
CRCNS: US-France Data Sharing Proposal: Lowering the barrier of entry to network neuroscience
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批准号:9916138
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资助金额:$21.51万
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财政年份:2019
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依托单位:
CRCNS: US-France Data Sharing Proposal: Lowering the barrier of entry to network neuroscience
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批准号:10262925
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项目类别:
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资助金额:$11.27万
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财政年份:2019
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依托单位:
Longitudinal Mapping of Network Development Underlying Executive Dysfunction in Adolescence
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批准号:10112308
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资助金额:$71.56万
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财政年份:2018
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依托单位:
Longitudinal Mapping of Network Development Underlying Executive Dysfunction in Adolescence
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资助金额:$79.84万
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财政年份:2018
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依托单位:
Longitudinal Mapping of Network Development Underlying Executive Dysfunction in Adolescence
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批准号:10358562
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资助金额:$70.75万
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财政年份:2018
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依托单位:
Evolution of the Linked Architecture of Network Control and Executive Function in Adolescence
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批准号:9242703
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资助金额:$20.13万
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财政年份:2016
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依托单位:
Virtual Resection to Treat Epilepsy
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批准号:9217513
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资助金额:$57.56万
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财政年份:2016
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依托单位:
Virtual Resection to Treat Epilepsy
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批准号:10355919
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资助金额:$55.16万
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CRCNS: US-France Modeling & Predicting BCI Learning from Dynamic Networks
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CRCNS: US-France Modeling & Predicting BCI Learning from Dynamic Networks
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海外基金