Longitudinal neuroimaging and neurocognitive assessment of risk and protective factors across the schizophrenia spectrum
Longitudinal neuroimaging and neurocognitive assessment of risk and protective factors across the schizophrenia spectrum
批准号:
10381940
负责人:
ERIN A. HAZLETT
金额:
$20.68万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-03-06 至 2024-12-31
关键词:
AcousticsActivities of Daily LivingAdministrative SupplementAnisotropyArtificial IntelligenceClinicalCognitiveCollaborationsComputersDataDiffusion Magnetic Resonance ImagingDiseaseEmotionalGoalsGrainGrantGraphHumanImpairmentIndividualInferiorInterviewLanguageLeadLinguisticsLongitudinal StudiesMachine LearningMagnetic Resonance ImagingMeasuresMetaphorMethodsModelingMultimodal ImagingNatural Language ProcessingNeurobiologyNeurocognitiveParentsPatientsPerformancePhenotypeProductionPsychosesQuality of lifeRiskRisk AssessmentRisk FactorsSamplingSchizophreniaSchizotypal Personality DisorderScientistSemanticsShort-Term MemorySocial AdjustmentSourceSpeechStructureSymptomsTechniquesTemporal LobeTestingThickTimeanalytical methodblood oxygenation level dependent responsebrain abnormalitiescohortfrontal lobefunctional disabilityfunctional outcomesindexinginnovationlongitudinal coursemedical schoolsmultimodalityneuroimagingnovelpreservationprocessing speedprotective factorsschizophrenia-spectrum disordersocialsocial cognitionsyntaxwhite matter
中文摘要
摘要
英文摘要
ABSTRACT
The parent R01 project is a longitudinal study examining risk and protective factors in the schizophrenia
(SZ) spectrum—from healthy controls (HCs) to individuals with schizotypal personality disorder (SPD) to
recent-onset SZ patients (80 per group)—using MRI and neurocognitive approaches. It tests a neurobiological
model which posits that individuals with SPD—an intermediate phenotype—have protective factors against
developing threshold psychosis, such as preservation of frontal lobe and less severe temporal lobe
abnormalities compared to SZ that lead to milder cognitive and social impairments. Examining natural
language processing (NLP) as proposed in this supplement is in line with the scope and aims of the parent
R01 project and may inform the key neurobiological model being tested. Moreover, examining NLP using novel
measures of semantics and syntax in association with measures from the parent R01 of frontal and temporal
white matter integrity/connectivity assessed with diffusion tensor imaging and cognitive domains such as
processing speed and working memory is innovative.
Speech and language provide a rich source of data on human thought, including semantic and emotional
content, semantic coherence (i.e. flow of meaning), and syntactic structure and complexity (i.e. usage of parts
of speech). There is a critical gap in our understanding of the linguistic mechanisms that underlie thought
disorder in SZ spectrum. The use of automated linguistic analytic methods has been limited to only a few
studies focused on discriminating SZ patients from HCs and predicting psychosis.
Together with our colleagues with expertise in NLP at Icahn School of Medicine at Mount Sinai, we will use
advanced computational speech analytic approaches to identify the linguistic basis of language production
along a spectrum from normal to thought disordered. We will use optimal interviewing techniques1 to obtain
open-ended 30-45 minute narratives from the large (N = 240) English-speaking sample in the parent R01
study, with a range of language disturbances across the spectrum ranging from none/subtle to severe. NLP
techniques including Latent Semantic Analysis2 (LSA) and part-of-speech (POS) tagging3,4 will be conducted
using artificial intelligence to examine semantic and syntactic language features to include in our overall
neurobiological model. These analyses yield fine-grained indices of speech and language that may more
accurately capture thought disorder.
Three specific aims will assess (1) semantic coherence in language production using LSA2 and examine its
association with positive symptoms and functional impairment across the spectrum; (2) syntactic complexity in
language production using POS tagging3,4 and measure acoustic features to examine their association with
negative symptoms and functional impairment; and (3) the relationship between language and speech features
(semantic, syntactic, and acoustic) with putative white matter integrity assessed using diffusion tensor imaging.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
CSRD Research Career Scientist Award Application
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批准号:10701136
-
项目类别:
-
资助金额:$0.0万
-
财政年份:2023
-
负责人:ERIN A. HAZLETT
-
依托单位:
A Novel Cognitive Remediation Intervention Targeting Poor Decision-Making and Depression in Veterans at High Risk for Suicide: A Safe,Telehealth Approach During the COVID-19 Pandemic
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批准号:10366431
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项目类别:
-
资助金额:$0.0万
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财政年份:2022
-
负责人:ERIN A. HAZLETT
-
依托单位:
A Novel Cognitive Remediation Intervention Targeting Poor Decision-Making and Depression in Veterans at High Risk for Suicide: A Safe,Telehealth Approach During the COVID-19 Pandemic
-
批准号:10539275
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项目类别:
-
资助金额:$0.0万
-
财政年份:2022
-
负责人:ERIN A. HAZLETT
-
依托单位:
Longitudinal neuroimaging and neurocognitive assessment of risk and protective factors across the schizophrenia spectrum
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批准号:10542376
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项目类别:
-
资助金额:$100.32万
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财政年份:2020
-
负责人:ERIN A. HAZLETT
-
依托单位:
Longitudinal neuroimaging and neurocognitive assessment of risk and protective factors across the schizophrenia spectrum
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批准号:10319171
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项目类别:
-
资助金额:$99.89万
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财政年份:2020
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负责人:ERIN A. HAZLETT
-
依托单位:
CSR&D Research Career Scientist Award Application
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批准号:10177966
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项目类别:
-
资助金额:$0.0万
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财政年份:2018
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负责人:ERIN A. HAZLETT
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依托单位:
CSR&D Research Career Scientist Award Application
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批准号:10426091
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项目类别:
-
资助金额:$0.0万
-
财政年份:2018
-
负责人:ERIN A. HAZLETT
-
依托单位:
CSR&D Research Career Scientist Award Application
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批准号:9892965
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项目类别:
-
资助金额:$0.0万
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财政年份:2018
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负责人:ERIN A. HAZLETT
-
依托单位:
CSR&D Research Career Scientist Award Application
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批准号:9551820
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项目类别:
-
资助金额:$0.0万
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财政年份:2018
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负责人:ERIN A. HAZLETT
-
依托单位:
Neurobiology of Affective Instability in Veterans at Low and High Risk for Suicide
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批准号:10311973
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项目类别:
-
资助金额:$0.0万
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财政年份:2017
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负责人:ERIN A. HAZLETT
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依托单位:
Neurobiology of Affective Instability in Veterans at Low and High Risk for Suicide
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批准号:9892959
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项目类别:
-
资助金额:$0.0万
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财政年份:2017
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负责人:ERIN A. HAZLETT
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依托单位:
Selecting Best Neuroleptic Treatment for Veterans with Schizophrenia
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批准号:8392955
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项目类别:
-
资助金额:$0.0万
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财政年份:2011
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负责人:ERIN A. HAZLETT
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依托单位:
Selecting Best Neuroleptic Treatment for Veterans with Schizophrenia
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批准号:8142659
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项目类别:
-
资助金额:$0.0万
-
财政年份:2011
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负责人:ERIN A. HAZLETT
-
依托单位:
Selecting Best Neuroleptic Treatment for Veterans with Schizophrenia
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批准号:8277786
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项目类别:
-
资助金额:$0.0万
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财政年份:2011
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负责人:ERIN A. HAZLETT
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依托单位:
NEURAL SUBSTRATES OF EMOTION IN BORDERLINE PATIENTS
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批准号:7953684
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项目类别:
-
资助金额:$0.07万
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财政年份:2009
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负责人:ERIN A. HAZLETT
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依托单位:
NEURAL SUBSTRATES OF EMOTION IN BORDERLINE PATIENTS
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批准号:7718165
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项目类别:
-
资助金额:$2.05万
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财政年份:2008
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负责人:ERIN A. HAZLETT
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依托单位:
NEURAL SUBSTRATES OF EMOTION REGULATION IN HEALTHY INDIVIDUALS
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批准号:7718192
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项目类别:
-
资助金额:$0.06万
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财政年份:2008
-
负责人:ERIN A. HAZLETT
-
依托单位:
NEURAL SUBSTRATES OF EMOTION IN BORDERLINE PATIENTS
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批准号:7605350
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项目类别:
-
资助金额:$2.61万
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财政年份:2007
-
负责人:ERIN A. HAZLETT
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依托单位:
Neural Substrates of Emotion in Borderline Patients
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批准号:7342829
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项目类别:
-
资助金额:$37.03万
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财政年份:2006
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负责人:ERIN A. HAZLETT
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依托单位:
Neural Substrates of Emotion in Borderline Patients
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批准号:7171852
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项目类别:
-
资助金额:$37.03万
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财政年份:2006
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负责人:ERIN A. HAZLETT
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依托单位:
海外基金