2020
Permutation inference for canonical correlation analysis
Winkler A, Renaud O, Smith S, Nichols T. Permutation inference for canonical correlation analysis. NeuroImage 2020, 220: 117065. PMID: 32603857, PMCID: PMC7573815, DOI: 10.1016/j.neuroimage.2020.117065.Peer-Reviewed Original Research
2016
Multidimensional heritability analysis of neuroanatomical shape
Ge T, Reuter M, Winkler AM, Holmes AJ, Lee PH, Tirrell LS, Roffman JL, Buckner RL, Smoller JW, Sabuncu MR. Multidimensional heritability analysis of neuroanatomical shape. Nature Communications 2016, 7: 13291. PMID: 27845344, PMCID: PMC5116071, DOI: 10.1038/ncomms13291.Peer-Reviewed Original ResearchFaster permutation inference in brain imaging
Winkler AM, Ridgway GR, Douaud G, Nichols TE, Smith SM. Faster permutation inference in brain imaging. NeuroImage 2016, 141: 502-516. PMID: 27288322, PMCID: PMC5035139, DOI: 10.1016/j.neuroimage.2016.05.068.Peer-Reviewed Original ResearchConceptsGamma distributionPermutation distributionProperties of statisticsReal data exampleInexpensive computing powerLinear modelGeneralised Pareto distributionMatrix theoryTail approximationNegative binomial distributionSymmetric errorsPareto distributionDirect fittingFamily-wise error ratePermutation inferenceReference resultsComplex modelsBinomial distributionReal dataSynthetic dataExact error rateComputing powerGeneral linear modelFamilywise errorNull hypothesisA comprehensive tractography study of patients with bipolar disorder and their unaffected siblings
Sprooten E, Barrett J, McKay DR, Knowles EE, Mathias SR, Winkler AM, Brumbaugh MS, Landau S, Cyr L, Kochunov P, Glahn DC. A comprehensive tractography study of patients with bipolar disorder and their unaffected siblings. Human Brain Mapping 2016, 37: 3474-3485. PMID: 27198848, PMCID: PMC5496097, DOI: 10.1002/hbm.23253.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlgorithmsBipolar DisorderBrainComorbidityDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFemaleGenetic Predisposition to DiseaseHumansImage Interpretation, Computer-AssistedMaleNeural PathwaysOrgan SizePattern Recognition, AutomatedPsychiatric Status Rating ScalesSeverity of Illness IndexSiblingsYoung AdultNon‐parametric combination and related permutation tests for neuroimaging
Winkler AM, Webster MA, Brooks JC, Tracey I, Smith SM, Nichols TE. Non‐parametric combination and related permutation tests for neuroimaging. Human Brain Mapping 2016, 37: 1486-1511. PMID: 26848101, PMCID: PMC4783210, DOI: 10.1002/hbm.23115.Peer-Reviewed Original Research
2015
Perfusion shift from white to gray matter may account for processing speed deficits in schizophrenia
Wright S, Hong L, Winkler A, Chiappelli J, Nugent K, Muellerklein F, Du X, Rowland L, Wang D, Kochunov P. Perfusion shift from white to gray matter may account for processing speed deficits in schizophrenia. Human Brain Mapping 2015, 36: 3793-3804. PMID: 26108347, PMCID: PMC4714540, DOI: 10.1002/hbm.22878.Peer-Reviewed Original ResearchConceptsWM integrityDiffusion tensor imagingArterial spin labelingPatient-control differencesPS deficitsReduced WM integrityPerfusion shiftCerebral information processingLower WM integrityCerebral WMNeurophysiological alterationsInformation processing speedSchizophrenia patientsGray matterCognitive deficitsTensor imagingBlood perfusionSchizophreniaDeficitsFurther examinationSpin labelingProcessing speedPatientsCohortPerfusionMulti-level block permutation
Winkler AM, Webster MA, Vidaurre D, Nichols TE, Smith SM. Multi-level block permutation. NeuroImage 2015, 123: 253-268. PMID: 26074200, PMCID: PMC4644991, DOI: 10.1016/j.neuroimage.2015.05.092.Peer-Reviewed Original ResearchFast and powerful heritability inference for family-based neuroimaging studies
Ganjgahi H, Winkler AM, Glahn DC, Blangero J, Kochunov P, Nichols TE. Fast and powerful heritability inference for family-based neuroimaging studies. NeuroImage 2015, 115: 256-268. PMID: 25812717, PMCID: PMC4463976, DOI: 10.1016/j.neuroimage.2015.03.005.Peer-Reviewed Original ResearchConceptsAuxiliary linear modelSemi-parametric inferenceInference methodsP-value computationParametric inference methodsNovel inference methodSum of squaresMultiple testing problemLikelihood computationInference proceduresFast estimationStandard resultsComputational intensityData settingTesting problemLinear modelPermutation schemeMethodological resultsAnisotropy measuresSignificance testsComputationInferenceWald testFalse positive riskHeritability estimation
2014
Permutation inference for the general linear model
Winkler AM, Ridgway GR, Webster MA, Smith SM, Nichols TE. Permutation inference for the general linear model. NeuroImage 2014, 92: 381-397. PMID: 24530839, PMCID: PMC4010955, DOI: 10.1016/j.neuroimage.2014.01.060.Peer-Reviewed Original ResearchConceptsPermutation inferenceNon-standard statisticsComplex general linear modelArbitrary experimental designsLinear modelPermutation methodOnly weak assumptionsGLM parametersWeak assumptionsSymmetric distributionExact controlGeneral linear modelNuisance variablesInferenceDetailed exampleComplete algorithmAlgorithmExperimental designIndependent dataNuisance effectsUseful caseGeneric frameworkModelStatisticsGLM
2010
Blood Pressure and Cerebral White Matter Share Common Genetic Factors in Mexican Americans
Kochunov P, Glahn DC, Lancaster J, Winkler A, Karlsgodt K, Olvera RL, Curran JE, Carless MA, Dyer TD, Almasy L, Duggirala R, Fox PT, Blangero J. Blood Pressure and Cerebral White Matter Share Common Genetic Factors in Mexican Americans. Hypertension 2010, 57: 330-335. PMID: 21135356, PMCID: PMC3024472, DOI: 10.1161/hypertensionaha.110.162206.Peer-Reviewed Original Research