Creating an adaptive screening tool for detecting neurocognitive deficits and psychopathology across the lifespan
创建自适应筛查工具来检测整个生命周期的神经认知缺陷和精神病理学
基本信息
- 批准号:10112310
- 负责人:
- 金额:$ 69.38万
- 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 2023-02-28
- 项目状态:已结题
- 来源:
- 关键词:AlgorithmsAnxietyAnxiety DisordersAssessment toolBehaviorBiological MarkersCalibrationCharacteristicsClassificationClinicalClinical Assessment ToolClinical assessmentsCognitiveCollectionComplexComputersDataData CompromisingData SetDatabasesDiagnosisDiagnosticDimensionsDiscriminationDiseaseEnvironmental Risk FactorFeedbackFemaleGenomicsHourIndividualInternetInternet of ThingsInterventionIntervention StudiesLengthLinkLongevityMachine LearningMeasuresMedicineMental DepressionMental disordersMethodsMolecular GeneticsMoodsNeurocognitiveNeurocognitive DeficitNeuropsychological TestsNeurosciencesOutcomePaperPathway interactionsPerformancePhenX ToolkitPhenotypePopulationPrecision Medicine InitiativePreparationProceduresPsychiatryPsychometricsPsychopathologyPsychosesPublic DomainsResearchResearch Domain CriteriaSamplingScreening procedureSensitivity and SpecificitySeveritiesSpeedStructureSymptomsTabletsTestingTimeTranslational ResearchUnited States National Institutes of HealthValidationbasebehavior measurementcognitive performancecomputerizedcrowdsourcingdata miningdata qualitydigitalgenomic variationimprovedindividualized preventioninstrumentmalemobile computingneuroimagingneuropsychiatric disordernovelnovel strategiesopen sourceprecision medicineprotective factorspsychiatric symptomresponsesymptom clustertheoriestooltraitvalidation studies
项目摘要
Efforts to include behavioral measures in large-scale studies as envisioned by precision medicine are
hampered by the time and expertise required. Paper-and-pencil tests currently dominating clinical assessment
and neuropsychological testing are plainly unfeasible. The NIH Toolbox contains many computerized tests and
clinical assessment tools varying in feasibility. Unique in the Toolbox is the Penn Computerized Neurocognitive
Battery (CNB), which contains 14 tests that take one hour to administer. CNB has been validated with
functional neuroimaging and in multiple normative and clinical populations across the lifespan worldwide, and
is freely available for research. Clinical assessment tools are usually devoted to specific disorders, and scales
vary in their concentration on symptoms that are disorder specific. We have developed a broad assessment
tool (GOASSESS), which currently takes about one hour to administer. These instruments were constructed,
optimized and validated with classical psychometric test theory (CTT), and are efficient as CTT allows.
However, genomic studies require even more time-efficient tools that can be applied massively.
Novel approaches, based on item response theory (IRT) can vastly enhance efficiency of testing and
clinical assessment. IRT shifts the emphasis from the test to the items composing it by estimating item
parameters such as “difficulty” and “discrimination” within ranges of general trait levels. IRT helps shorten the
length of administration without compromising data quality, and for many domains leads to computer adaptive
testing (CAT) that further optimizes tests to individual abilities. We propose to develop and validate adaptive
versions of the CNB and GOASSESS, resulting in a neurocognitive and clinical screener that, using machine
learning tools, will be continually optimized, becoming shorter and more precise as it is deployed. The tool will
be in the Toolbox available in the public domain. We have item-level information to perform IRT analyses on
existing data and use this information to develop CAT implementations and generate item pools for adaptive
testing. Our Specific Aims are: 1. Use available itemwise data on the Penn CNB and the GOASSESS and add
new tests and items to generate item pools for extending scope while abbreviating tests using IRT-CAT and
other methods. The current item pool will be augmented to allow large selection of items during CAT
administration and add clinical items to GOASSESS. New items will be calibrated through crowdsourcing. 2.
Produce a modular CAT version of a neurocognitive and clinical assessment battery that covers major RDoC
domains and a full range of psychiatric symptoms. We have implemented this procedure on some CNB tests
and clinical scales and will apply similar procedures to remaining and new tests as appropriate. 3. Validate the
CAT version in 100 individuals with psychosis spectrum disorders (PS), 100 with depression/anxiety disorders
(DA), and 100 healthy controls (HC). We will use this dataset to implement and test data mining algorithms
that optimize prediction of specific outcomes. All tests, algorithms and normative data will be in the toolbox.
将行为测量纳入精准医学所设想的大规模研究的努力
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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Ruben C. Gur其他文献
478. Cross-Site Quality Assessment of Data From a Pharmacologic Neuroimaging Trial Targeting Working Memory Neural Circuits in Schizophrenia
478. 针对精神分裂症工作记忆神经回路的药理神经影像学试验数据的跨站点质量评估
- DOI:
10.1016/j.biopsych.2025.02.716 - 发表时间:
2025-05-01 - 期刊:
- 影响因子:9.000
- 作者:
Catrin Zharyy;Clara Fonteneau;Masih Rahmati;Ally Price;Roberto Gil;Preetika Govil;Jack Grinband;Ruben C. Gur;Natalka K. Haubold;Zachary Heffernan;Jing Lu;Megan Mayer;Mohini Ranganathan;Nicole P. Santamauro;Zailyn Tamayo;Jared Van Snellenberg;Daniel H. Wolf;TRANSCENDS Group;Alan Anticevic;Jeffrey A. Lieberman;Joshua T. Kantrowitz;Youngsun Cho - 通讯作者:
Youngsun Cho
Reward Network Glutamate Level is Associated With Dimensional Reward Responsiveness
- DOI:
10.1016/j.biopsych.2020.02.567 - 发表时间:
2020-05-01 - 期刊:
- 影响因子:
- 作者:
Valerie Sydnor;Christian G. Kohler;Andrew J.D. Crow;Bart Larsen;Monica E. Calkins;Ruben C. Gur;Raquel E. Gur;Joe Kable;Jami Young;Ravi PR. Nanga;Ravinder Reddy;Daniel H. Wolf;Theodore Satterthwaite;David Roalf - 通讯作者:
David Roalf
Poster #171 YOGA AS ADJUNCTIVE COGNITIVE REMEDIATION FOR SCHIZOPHRENIA IN INDIA
- DOI:
10.1016/s0920-9964(12)70485-1 - 发表时间:
2012-04-01 - 期刊:
- 影响因子:
- 作者:
Triptish Bhatia;Akhilesh Agrawal;Gyandeepak Shah;Wood Joel;Jan Richards;Raquel E. Gur;Ruben C. Gur;Vishwajit L. Nimgaonkar;Smita N. Deshpande - 通讯作者:
Smita N. Deshpande
318 - Unilateral olfactory functioning in patients with schizophrenia
- DOI:
10.1016/s0920-9964(97)82326-2 - 发表时间:
1997-01-01 - 期刊:
- 影响因子:
- 作者:
Paul J. Moberg;Bruce I. Turetsky;Richard Doty;Donald McKeown;Ruben C. Gur;Raquel E. Gur - 通讯作者:
Raquel E. Gur
405. Exploring the Glutamatergic Underpinnings of Within-Network Functional Connectivity and Motor Performance in a Transdiagnostic Cohort
- DOI:
10.1016/j.biopsych.2024.02.904 - 发表时间:
2024-05-15 - 期刊:
- 影响因子:
- 作者:
Margaret Pecsok;Alfredo Lucas;Ally Atkins;Monica Calkins;Adam Czernuszenko;Ruben C. Gur;Ravi Prakash Reddy Nanga;Heather Robinson;Kosha Ruparel;Nick Wellman;Daniel Wolf;Theodore Satterthwaite;David Roalf - 通讯作者:
David Roalf
Ruben C. Gur的其他文献
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{{ truncateString('Ruben C. Gur', 18)}}的其他基金
Creating an adaptive screening tool for detecting neurocognitive deficits and psychopathology across the lifespan
创建自适应筛查工具来检测整个生命周期的神经认知缺陷和精神病理学
- 批准号:
10356829 - 财政年份:2019
- 资助金额:
$ 69.38万 - 项目类别:
Creating an adaptive screening tool for detecting neurocognitive deficits and psychopathology across the lifespan
创建自适应筛查工具来检测整个生命周期的神经认知缺陷和精神病理学
- 批准号:
9920211 - 财政年份:2019
- 资助金额:
$ 69.38万 - 项目类别:
Multimodal brain maturation indices modulating psychopathology and neurocognition
调节精神病理学和神经认知的多模式大脑成熟指数
- 批准号:
9275046 - 财政年份:2015
- 资助金额:
$ 69.38万 - 项目类别:
2/3-Networks from Multidimensional Data for Schizophrenia and Related Disorders
2/3-来自精神分裂症和相关疾病多维数据的网络
- 批准号:
8665498 - 财政年份:2012
- 资助金额:
$ 69.38万 - 项目类别:
3/5-Genetics of Transcriptional Endophenotypes for Schizophrenia
3/5-精神分裂症转录内表型的遗传学
- 批准号:
8237585 - 财政年份:2012
- 资助金额:
$ 69.38万 - 项目类别:
3/5-Genetics of Transcriptional Endophenotypes for Schizophrenia
3/5-精神分裂症转录内表型的遗传学
- 批准号:
8657481 - 财政年份:2012
- 资助金额:
$ 69.38万 - 项目类别:
2/3-Networks from Multidimensional Data for Schizophrenia and Related Disorders
2/3-来自精神分裂症和相关疾病多维数据的网络
- 批准号:
8501689 - 财政年份:2012
- 资助金额:
$ 69.38万 - 项目类别:
3/5-Genetics of Transcriptional Endophenotypes for Schizophrenia
3/5-精神分裂症转录内表型的遗传学
- 批准号:
8463034 - 财政年份:2012
- 资助金额:
$ 69.38万 - 项目类别:
2/3-Networks from Multidimensional Data for Schizophrenia and Related Disorders
2/3-来自精神分裂症和相关疾病多维数据的网络
- 批准号:
8305318 - 财政年份:2012
- 资助金额:
$ 69.38万 - 项目类别:
Changes in neural response to eating after bariatric surgery: MRI results
减肥手术后饮食神经反应的变化:MRI 结果
- 批准号:
8607936 - 财政年份:2010
- 资助金额:
$ 69.38万 - 项目类别:
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