Development of Thalamocortical Circuits and Cognitive Function in Healthy Individuals and Youth At-Risk for Psychosis
Development of Thalamocortical Circuits and Cognitive Function in Healthy Individuals and Youth At-Risk for Psychosis
批准号:
9893033
负责人:
ALAN ANTICEVIC
金额:
$39.25万
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:
已结题
起止时间:
2018-06-04 至 2022-03-31
关键词:
AddressAdultAgeAgingAmericanAreaBase of the BrainBehavioralBiological MarkersBipolar DisorderBrainCharacteristicsChildhoodClinicalCognitionCognitiveDataData SetDevelopmentDimensionsDiseaseEtiologyExecutive DysfunctionExhibitsFoundationsFunctional disorderGeneticImageImpaired cognitionIndividualIndividual DifferencesInstitutesInterventionKnowledgeLinkLongevityLongitudinal StudiesMachine LearningMental disordersModelingMotorNeurocognitionNeurodegenerative DisordersNeurodevelopmental DisorderNeurosciencesOnset of illnessOutcomePatientsPhiladelphiaPopulationPrefrontal CortexPsychotic DisordersResourcesRiskSamplingSchizophreniaSensorySeriesStructureSymptomsTestingThalamic structureTrainingVariantWorkYouthage effectclinical phenotypecognitive abilitycognitive functioncohortemerging adultexecutive functionhigh riskimproved outcomemultimodalityneural correlateneuroimagingneuropsychiatryphenotypic dataprediction algorithmpreventpsychosocialpsychotic symptomspublic health relevancerelating to nervous systemsymptomatologyyoung adult
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Project Summary: Brain networks linking the cortex to thalamus are critical for cognitive, sensory, and motor
functioning. Dysruption of thalamocortical networks has been implicated in the pathophysiology of
neurodevelopmental disorders, including psychosis, and mechanisms of clinical phenotypes, especially
cognitive impairment. This view is supported by neuroimaging, including a series of studies by the Co-PIs,
which consistently find a combination of reduced thalamic connectivity with the prefrontal cortex (PFC) and
sensorimotor-thalamic hyper-connectivity in schizophrenia and bipolar disorder. While significant progress has
been made, critical knowledge gaps remain with respect to the normal developmental trajectory of
thalamocortical networks and onset of connectivity disturbances in psychosis; relationship between cognitive
functions supported by thalamocortical circuits and thalamocortical connectivity biomarkers; and clinical utility
of imaging thalamocortical networks. The availability of several large-scale cross-sectional datasets containing
multi-modal neuroimaging data and extensive phenotypic data on healthy and at-risk individuals has created
an unprecedented opportunity to address these critical knowledge gaps. They include the Cambridge Center
for Ageing and Neuroscience (Cam-CAN: n=656, ages 18-88); Nathan Kline Institute-Rockland Sample (NKI-
RS: n=932, ages 6-85); Pediatric Imaging, Neurocognition, and Genetics dataset (PING: N=1239, ages 3-20);
Philadelphia Neurodevelopmental Cohort (PNC: n=1601, ages 8-21), which includes psychosis spectrum (PS)
youth; and the North American Prodromal Longitudinal Study (NAPLS: n=397). Building on our prior work in
clinical populations and leveraging the considerable resources of these datasets, we propose to chart the
development of thalamocortical networks in healthy subjects (Aim 1) and youth with PS symptoms (Aim 2),
characterize the associations between thalamocortical biomarkers and cognition (Aim 3), and investigate the
clinical utility of thalamocortical connectivity biomarkers at identifying atypical brain development in individual
subjects across the psychosis continuum and predicting conversion to psychosis in clinical high risk individuals
(Aim 4). The proposed Aims will: 1) establish critical normative lifespan development data for refining and
testing etiological models of not just psychosis, but other neurodevelopmental disorders, as well as aging-
related disorders; 2) inform the pathophysiology of psychotic disorders and contribute to dimensional models of
psychosis; 3) help define the neural basis of executive cognitive abilities thereby providing the necessary
foundation for mechanistic models of normal cognitive function and cognitive impairment in psychosis; and 4)
potentially provide risk biomarkers and intervention targets for youth at risk for developing a psychotic disorder.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
A Translational and Neurocomputational Evaluation of a D1R Partial Agonist for Schizophrenia
-
批准号:10248465
-
项目类别:
-
资助金额:$367.52万
-
财政年份:2019
-
负责人:ALAN ANTICEVIC
-
依托单位:
A Translational and Neurocomputational Evaluation of a D1R Partial Agonist for Schizophrenia
-
批准号:10021712
-
项目类别:
-
资助金额:$427.75万
-
财政年份:2019
-
负责人:ALAN ANTICEVIC
-
依托单位:
Brain Network Changes Accompanying and Predicting Responses to Pharmacotherapy in OCD
-
批准号:10543781
-
项目类别:
-
资助金额:$66.88万
-
财政年份:2018
-
负责人:ALAN ANTICEVIC
-
依托单位:
Brain Network Changes Accompanying and Predicting Responses to Pharmacotherapy in OCD
-
批准号:10311477
-
项目类别:
-
资助金额:$75.62万
-
财政年份:2018
-
负责人:ALAN ANTICEVIC
-
依托单位:
Mapping the Longitudinal Neurobiology of Early-course Schizophrenia
-
批准号:10215418
-
项目类别:
-
资助金额:$17.99万
-
财政年份:2017
-
负责人:ALAN ANTICEVIC
-
依托单位:
Mapping the Longitudinal Neurobiology of Early-course Schizophrenia
-
批准号:9910455
-
项目类别:
-
资助金额:$18.43万
-
财政年份:2017
-
负责人:ALAN ANTICEVIC
-
依托单位:
Characterizing Schizophrenia Progression via Multi-modal Neuroimaging and Computation
-
批准号:9272935
-
项目类别:
-
资助金额:$39.53万
-
财政年份:2016
-
负责人:ALAN ANTICEVIC
-
依托单位:
Administrative Supplement to 1R03MH105765: Neuropsychiatric Classification via Connectivity and Machine Learning
-
批准号:9076865
-
项目类别:
-
资助金额:$3.53万
-
财政年份:2014
-
负责人:ALAN ANTICEVIC
-
依托单位:
Neuropsychiatric Classification via Connectivity and Machine Learning
-
批准号:8808026
-
项目类别:
-
资助金额:$7.41万
-
财政年份:2014
-
负责人:ALAN ANTICEVIC
-
依托单位:
Characterizing Cognitive Impairment in Schizophrenia via Computational Modeling a
-
批准号:8715432
-
项目类别:
-
资助金额:$35.48万
-
财政年份:2012
-
负责人:ALAN ANTICEVIC
-
依托单位:
Characterizing Cognitive Impairment in Schizophrenia via Computational Modeling a
-
批准号:8415414
-
项目类别:
-
资助金额:$35.48万
-
财政年份:2012
-
负责人:ALAN ANTICEVIC
-
依托单位:
Characterizing Cognitive Impairment in Schizophrenia via Computational Modeling a
-
批准号:8917800
-
项目类别:
-
资助金额:$35.48万
-
财政年份:2012
-
负责人:ALAN ANTICEVIC
-
依托单位:
Characterizing Cognitive Impairment in Schizophrenia via Computational Modeling a
-
批准号:8550838
-
项目类别:
-
资助金额:$34.41万
-
财政年份:2012
-
负责人:ALAN ANTICEVIC
-
依托单位:
Characterizing Cognitive Impairment in Schizophrenia via Computational Modeling a
-
批准号:9135973
-
项目类别:
-
资助金额:$35.48万
-
财政年份:2012
-
负责人:ALAN ANTICEVIC
-
依托单位:
海外基金