2024
Power and reproducibility in the external validation of brain-phenotype predictions
Rosenblatt M, Tejavibulya L, Sun H, Camp C, Khaitova M, Adkinson B, Jiang R, Westwater M, Noble S, Scheinost D. Power and reproducibility in the external validation of brain-phenotype predictions. Nature Human Behaviour 2024, 1-16. PMID: 39085406, DOI: 10.1038/s41562-024-01931-7.Peer-Reviewed Original ResearchHuman Connectome ProjectAdolescent Brain Cognitive Development StudyConnectome ProjectCognitive Development StudyPhiladelphia Neurodevelopmental CohortHealthy Brain NetworkStructural connectivity dataMatrix reasoningWorking memoryAnxiety/depression symptomsAttention problemsNeurodevelopmental CohortBrain networksBrain-phenotype associationsEffect sizeConnectivity dataExternal validationRelated processesValidation studySample sizeBrain ProjectDevelopment studiesTraining sample sizeGeneralizability of modelsExternal samples
2020
The Constrained Network-Based Statistic: A New Level of Inference for Neuroimaging
Noble S, Scheinost D. The Constrained Network-Based Statistic: A New Level of Inference for Neuroimaging. Lecture Notes In Computer Science 2020, 12267: 458-468. PMID: 33870336, PMCID: PMC8052680, DOI: 10.1007/978-3-030-59728-3_45.Peer-Reviewed Original ResearchNetwork-based statisticsLarge-scale networksConstrained networksLarge-scale brain networksHuman Connectome ProjectHigher effect sizesBrain networksGround truth mapConnectome ProjectTask dataTruth effectNew levelReproducible discoveryEffect sizeNBS methodTruth mapNetwork organizationNetworkLocal neighborhoodValid inferencesInferenceNeuroscienceImportant formCluster levelMajor initiatives
2019
Cluster failure or power failure? Evaluating sensitivity in cluster-level inference
Noble S, Scheinost D, Constable RT. Cluster failure or power failure? Evaluating sensitivity in cluster-level inference. NeuroImage 2019, 209: 116468. PMID: 31852625, PMCID: PMC8061745, DOI: 10.1016/j.neuroimage.2019.116468.Peer-Reviewed Original Research