Retinal Layer, Microvascular and Electroretinographic Determinants of Early Course Schizophrenia
Retinal Layer, Microvascular and Electroretinographic Determinants of Early Course Schizophrenia
批准号:
10589934
负责人:
Paulo L Lizano
金额:
$19.2万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-04-01 至 2025-03-31
关键词:
AddressAffectAnatomyAngiographyAnimalsAntipsychotic AgentsAreaBiological MarkersBlood VesselsBrainCell physiologyCellsCellular biologyCentral Nervous SystemCerebrumCessation of lifeChronicChronic DiseaseChronic SchizophreniaClinicalCognitionCognitiveCollaborationsConsensusDataDevelopmentDiagnosticDiameterDimensionsDropoutEarEarly InterventionElectroretinographyEyeFunctional ImagingFunctional disorderGanglion Cell LayerGoalsHealth Care CostsHistologicHumanImaging DeviceImaging technologyImpaired cognitionInfrastructureInjuryInner Plexiform LayerIsraelLateral Geniculate BodyLinkMagnetic Resonance ImagingMeasuresMedical centerMedicineMeta-AnalysisMethodsMorphologyNerve DegenerationNerve FibersNeurosciencesNuclearOccipital lobeOphthalmologyOptical Coherence TomographyOutcomePathologyPatientsPerfusionPhenotypePhotoreceptorsPhysiologic Intraocular PressurePopulationProcessPsychiatryPsychopathologyPsychosesPsychotic DisordersResearchResolutionResourcesRetinaRetinal Ganglion CellsRetrograde DegenerationRoleSchizophreniaSelection for TreatmentsStructural defectStructureStructure-Activity RelationshipSymptomsSynapsesTechnologyTestingThalamic structureThickThinnessTimeTissuesTrainingTraining ProgramsTrans-Synaptic DegenerationUniversitiesVisualVisual CortexVisual PathwaysVisual SystemVisual impairmentWorkbiological researchbiomarker validationbrain magnetic resonance imagingbrain volumecerebral atrophyclinically relevantcomorbiditycomparison controlcost effectivedisabling diseasedisease classificationexperiencefunctional disabilityfunctional lossganglion cellgray matterimaging approachimaging studyin vivoindexinginjuredmultidisciplinarymultimodalityneuroimagingneuropsychiatrynoveloutcome predictionouter plexiform layerpersonalized interventionpsychotic symptomsresponsible research conductretinal imagingretinal nerve fiber layerstructural imagingtherapy resistanttooltreatment responsevenulevision sciencevisual processing
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Project Summary
The candidate requests support for a five-year program for training and research to better understand
how indices of retinal function, structure, and vasculature can inform our understanding of pathophysiological
mechanisms in early course schizophrenia (ECS).
In the proposed training plan, the candidate will build upon his previous experiences in cell biology,
neuroscience and clinical psychiatry to perform a multidisciplinary project at Beth Israel Deaconess Medical
Center. His training includes: 1) vision science, 2) neuropsychiatric assessment of ECS, and 3) the responsible
conduct of research.
Visual perceptual abnormalities, which affect >60% of patients with schizophrenia, have reliably
correlated with worse core clinical outcomes. These alterations are consistent with retinal structural (optical
coherence tomography) and functional (electroretinography) changes in schizophrenia. Previous studies have
not attempted to understand the retinal structure-to-function relationships, the course of retinal to central
nervous system pathology, and the role of retinal phenotypes in ECS. Also, whether these changes precede
and lead to cortical changes, or vice versa, or whether both occur at the same time due to a general
neurodegenerative process has not been previously explored in schizophrenia.
This candidate’s research plan seeks to: 1) propose retinal phenotypes of ECS captured in cost-
effective, practical, and clinically relevant manner using novel retinal imaging tools such as electroretinography,
optical coherence tomography and angiography to characterize dimensionally integrated and translational
predictors of psychopathology and central nervous system pathology; 2) understand the structure-function
relationships between retinal parameters, and 3) suggest whether retrograde trans-synaptic degeneration is a
potential pathophysiologic mechanism occurring in schizophrenia.
This study proposes to address this hypothesis by utilizing retinal imaging-based phenotyping methods
cross-sectionally, primarily through structural and functional imaging, to capture data on retinal cell function,
retinal cytoarchitecture and retinal microvascular morphology that can inform clinical, cognitive and functional
relationships. The study will be performed cross-sectionally across 4 years in subject with ECS.
The broader aim of this research is to develop, evaluate, and implement retinal imaging technology
tools for advancing diagnostic nosology, biomarkers, and treatments for psychotic illnesses with a focus on
ECS. An understanding of the pathophysiology of schizophrenia through the eye may allow the development of
retinal biomarkers of illness that may offer better targets for biological research, inform development of
personalized interventions for psychotic illnesses, and help support early interventions for schizophrenia.
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会议论文
FastPlex: A Fast Deep Learning Segmentation Method for Accurate Choroid Plexus Morphometry
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批准号:10734956
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项目类别:
-
资助金额:$63.85万
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财政年份:2023
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负责人:Paulo L Lizano
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依托单位:
Retinal Layer, Microvascular and Electroretinographic Determinants of Early Course Schizophrenia
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批准号:10374780
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项目类别:
-
资助金额:$19.2万
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财政年份:2021
-
负责人:Paulo L Lizano
-
依托单位:
海外基金