Mapping the Longitudinal Neurobiology of Early-course Schizophrenia
Mapping the Longitudinal Neurobiology of Early-course Schizophrenia
批准号:
10215418
负责人:
ALAN ANTICEVIC
金额:
$17.99万
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:
2017-02-01 至 2022-11-30
关键词:
AddressAdmission activityAffectAftercareAgeAntipsychotic AgentsBehavioralBeliefBrain imagingChinaChronicChronic SchizophreniaClinicClinicalClinical MarkersClinical ResearchCognitionCognitive deficitsCollaborationsComplexCorpus striatum structureDataData SetDisease ProgressionEarly DiagnosisEarly InterventionEarly treatmentExhibitsFunctional disorderFutureGenderGoalsHeterogeneityHippocampus (Brain)HospitalsHumanImpaired cognitionInfrastructureInterventionKnowledgeLinkLongitudinal StudiesMapsMeasuresMethodsNational Institute of Mental HealthNeurobiologyNeurocognitiveNeurodevelopmental DisorderNeurosciencesParticipantPathway interactionsPatientsPatternPharmaceutical PreparationsPhasePrognosisPsychosesResearchSample SizeSchizophreniaSensorySeveritiesSiteSourceStructureSymptomsSynapsesTestingThalamic NucleiThalamic structureTimeWorkbaseclinical applicationclinical effectclinically relevantcognitive functionconnectomefunctional declinefunctional disabilityimaging biomarkerimprovedindividualized medicinelongitudinal designmultimodalityneuroimagingneuroimaging markerneuropsychiatrynovelpre-clinicalprogramsrecruitreduce symptomsrelating to nervous systemresponders and non-respondersresponsestandard caretargeted treatmenttraittreatment responderstreatment response
中文摘要
点击翻译按钮获取中文摘要
英文摘要
PROJECT SUMMARY
Schizophrenia (SCZ) is a profoundly disabling neurodevelopmental disorder causing marked functional impairment. SCZ
is hypothesized to arise from synaptic disturbances affecting large-scale neural connectivity along cortico–thalamic-
striatal–cortical (CTSC) pathways. Neuroimaging evidence supports this view by showing alterations in associative
cortices and connectivity disruptions across CTSC circuits in chronic SCZ. Yet, the complex evolving neurobiology of
early-course SCZ remains uncharacterized. This limits treatments for early illness phases when intervention is crucial by
capitalizing on the narrow `window' of opportunity to halt disease progression. Thus, understanding the neurobiology of
early-course SCZ is a major objective for early detection, prognosis prediction and targeted individualized therapy. A
major complicating factor in many SCZ studies is the confounding presence of antipsychotic treatment. Thus, our goal is
to characterize co-occurring functional and structural dysconnectivity in unmedicated early-course SCZ and quantify
neural changes in relation to cardinal SCZ symptoms, cognitive deficits and treatment response. To achieve this, we will
examine longitudinal progression of neural dysconnectivity in 150 unmedicated early-course SCZ patients after their
initial admission into clinics affiliated with West China Hospital. We will follow patients longitudinally at 6, 12, and 24
months later in comparison with 150 matched healthy controls. We will use state-of-the-art functional and structural
methods optimized by the Human Connectome Project to achieve cutting-edge multi-modal neuroimaging integration. As
noted, mounting evidence implicates CTSC loops in SCZ, particularly higher-order prefrontal and thalamic regions (e.g.
medio-dorsal structures), suggesting mechanistic links between CTSC dysfunction and SCZ symptoms. Thus, first we aim
to test if the identified CTSC markers exhibit concurrent (or dissociable) structural and functional alterations in
unmedicated SCZ patients and if these circuits alter longitudinally. Second, we will test if structural and functional
neuroimaging alterations relate to severity of cardinal SCZ symptoms and cognitive deficits. This provides a much-needed
mapping between longitudinal CTSC dysconnectivity, symptoms and cognition in SCZ. Critically, this balanced
longitudinal design can distinguish `state' versus `trait' neuroimaging markers during early illness course in relation to
clinically relevant variables. Finally, it is well established that many SCZ patients do not respond well to antipsychotics.
Yet, the neural markers of poor treatment response remain unmapped (and conversely treatment response). A key
advantage of the proposed U.S.-China partnership is precisely the capacity to longitudinally study large sample sizes
starting from medication-free observations, afforded by extensive and robust recruitment infrastructure at West China
Hospital. Thus, our third aim is to quantify longitudinal structural and functional CTSC dysconnectivity in relation to
treatment response. Collectively, this study will map longitudinal `state' versus `trait' neural markers starting from
medication-free early illness stages (Aim 1), relate these changes to symptom dynamics (Aim 2) and treatment response
(Aim 3). This mapping is vital to inform future work aimed at maximizing individualized early intervention strategies.
期刊论文(13)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
DOI:
10.1038/s41398-022-01791-7
发表时间:
2022-01-21
期刊:
Translational psychiatry
影响因子:
6.8
作者:
[Zhang X, Suo X, Yang X, Lai H, Pan N, He M, Li Q, Kuang W, Wang S, Gong Q]
通讯作者:
Gong Q
DOI:
10.1186/s12888-021-03503-9
发表时间:
2021-10-28
期刊:
BMC psychiatry
影响因子:
4.4
作者:
[Yang J, Lei D, Qin K, Pinaya WHL, Suo X, Li W, Li L, Kemp GJ, Gong Q]
通讯作者:
Gong Q
DOI:
10.1002/hbm.26098
发表时间:
2023-02-01
期刊:
Human brain mapping
影响因子:
4.8
作者:
[]
通讯作者:
DOI:
10.1093/psyrad/kkab015
发表时间:
2021-12
期刊:
Psychoradiology
影响因子:
--
作者:
[Wen K, Zhao Y, Gong Q, Zhu Z, Li Q, Pan N, Fu S, Radua J, Vieta E, Kumar P, Kemp GJ, Biswal BB]
通讯作者:
Biswal BB
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:
Development of Thalamocortical Circuits and Cognitive Function in Healthy Individuals and Youth At-Risk for Psychosis
-
批准号:9893033
-
项目类别:
-
资助金额:$39.25万
-
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: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: