Neuroprogression across the Psychosis Spectrum in the Early Course of Illness
疾病早期过程中精神病谱系的神经进展
基本信息
- 批准号:10335172
- 负责人:
- 金额:$ 48.23万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-05-01 至 2024-01-31
- 项目状态:已结题
- 来源:
- 关键词:AftercareAmygdaloid structureAreaAutopsyBrainChronicClinicalClinical DataCognitionCognitiveCommunitiesDataData CollectionDevelopmentDiagnosticDimensionsDiseaseDisease ProgressionEarly InterventionFunctional ImagingFunctional Magnetic Resonance ImagingGrowthHeterogeneityHippocampus (Brain)HumanImaging TechniquesImpaired cognitionImpairmentIndividualInsula of ReilInterventionKnowledgeLongitudinal StudiesLongitudinal cohortMagnetic Resonance ImagingMapsMeasurementMeasuresMethodologyModalityModelingNational Institute of Mental HealthNatureNeurobiologyNeurocognitionNeurocognitiveOnset of illnessOutcomeOutcome MeasureParietalPatientsPositioning AttributePositron-Emission TomographyProcessPsychosesRecoveryResearchResearch PersonnelSamplingSubgroupSymptomsTestingThalamic structureTimeTimeLineVentricularbasecareerclinical predictorscognitive changecohortconnectomecritical perioddesignearly psychosiseffective interventioneffective therapyfirst episode psychosisfunctional outcomesgray matterimprovedimproved functioningindividualized medicineinterestlongitudinal designloss of functionmultimodalityneurocognitive testpreservationpreventprimary outcomereward processingtargeted treatmentwhite matter
项目摘要
PROJECT SUMMARY/ABSTRACT
This is an NIMH R01 proposal entitled, “Neuroprogression across the Psychosis Spectrum in the Early Course
of Illness.” Neuroprogressive changes that occur through the early years of illness have been described using
neurocognitive testing, PET, CT, fMRI, and post-mortem brain studies; however, these studies rely mainly on
cross-sectional data, and longitudinal studies involving frequent measurements are rare, limiting our
understanding of the actual timing and trajectories of these measures within this critical time period. The
development and implementation of targeted and effective treatments is critically dependent on clear
understanding of the timing and nature of disease progression in order to target processes amenable to
intervention. Thus, there is an urgent need to carefully characterize neuroprogression in the early course of
psychosis if we are to develop effective interventions to target areas of preserved functioning, potentially
preventing further decline and chronic loss of functioning. This knowledge gap severely limits our ability to
develop targeted treatments when they may be most effective, and to tailor treatment to patients' needs.
The aim of the present proposal is the systematic, multimodal characterization of neuroprogression
throughout the early course of illness in a cross-diagnostic sample of patients with psychosis using an
accelerated longitudinal design. First, we will measure neurocognitive and neurobiological change over the
first eight years of illness in order to characterize variability of timing and magnitude of neuroprogression
across key measures. Second, we will assess the predictive utility of neuroprogressive trajectories on clinical
and functional outcomes. We will also leverage the heterogeneity in baseline cognitive and brain measures to
characterize patients by neuroprogressive profile and test whether baseline profiles offer improved prediction
of clinical and functional course. The richness of these data will also position us to explore heterogeneity of
neuroprogressive trajectories and their associations with clinical and functional outcomes. It has been argued
that combining data from clinical, structural and functional imaging, and cognitive measures is superior to
monomodal data in the prediction of course and outcome (6). Findings from this project will hasten
identification of actionable treatment targets that are closely associated with clinical outcomes, and provide
guidance for individualized treatment implementation during a critical period where early intervention strategies
may be most effective. Notably, this proposal aims to build on the Human Connectome Project for Early
Psychosis (U01MH109977, PI: Shenton) by utilizing the same high-quality methodology and adding
longitudinal assessments to baseline data collection already underway, maximizing both the power of the
present study and the utility of the HCP-EP data. The PI is an early stage investigator and K23 Awardee with a
career focus on characterization of the nature and course of multidimensional symptom domains (e.g.
cognition, reward processing), and targeted treatment approaches in psychosis.
项目总结/文摘
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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KATHRYN Eve LEWANDOWSKI其他文献
KATHRYN Eve LEWANDOWSKI的其他文献
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{{ truncateString('KATHRYN Eve LEWANDOWSKI', 18)}}的其他基金
Systematic Evaluation of the Effects of Cognitive Remediation across Affective and Non-Affective Psychosis
认知矫正对情感性和非情感性精神病效果的系统评估
- 批准号:
9977312 - 财政年份:2020
- 资助金额:
$ 48.23万 - 项目类别:
Neuroprogression across the Psychosis Spectrum in the Early Course of Illness
疾病早期过程中精神病谱系的神经进展
- 批准号:
9918996 - 财政年份:2019
- 资助金额:
$ 48.23万 - 项目类别:
Neuroprogression across the Psychosis Spectrum in the Early Course of Illness
疾病早期过程中精神病谱系的神经进展
- 批准号:
10083768 - 财政年份:2019
- 资助金额:
$ 48.23万 - 项目类别:
Neuroprogression across the Psychosis Spectrum in the Early Course of Illness
疾病早期过程中精神病谱系的神经进展
- 批准号:
10560521 - 财政年份:2019
- 资助金额:
$ 48.23万 - 项目类别:
Characterization of Variability in Motivation and Reward in Psychosis
精神病动机和奖励变异性的表征
- 批准号:
9314825 - 财政年份:2017
- 资助金额:
$ 48.23万 - 项目类别:
Efficacy of a Cognitive Remediation Treatment Program for Bipolar Disorder
双相情感障碍认知矫正治疗方案的疗效
- 批准号:
8231309 - 财政年份:2011
- 资助金额:
$ 48.23万 - 项目类别:
Efficacy of a Cognitive Remediation Treatment Program for Bipolar Disorder
双相情感障碍认知矫正治疗方案的疗效
- 批准号:
8110347 - 财政年份:2011
- 资助金额:
$ 48.23万 - 项目类别:
Efficacy of a Cognitive Remediation Treatment Program for Bipolar Disorder
双相情感障碍认知矫正治疗方案的疗效
- 批准号:
8415544 - 财政年份:2011
- 资助金额:
$ 48.23万 - 项目类别:
Efficacy of a Cognitive Remediation Treatment Program for Bipolar Disorder
双相情感障碍认知矫正治疗方案的疗效
- 批准号:
8604753 - 财政年份:2011
- 资助金额:
$ 48.23万 - 项目类别: