2020
Mega‐analysis methods in ENIGMA: The experience of the generalized anxiety disorder working group
Zugman A, Harrewijn A, Cardinale E, Zwiebel H, Freitag G, Werwath K, Bas‐Hoogendam J, Groenewold N, Aghajani M, Hilbert K, Cardoner N, Porta‐Casteràs D, Gosnell S, Salas R, Blair K, Blair J, Hammoud M, Milad M, Burkhouse K, Phan K, Schroeder H, Strawn J, Beesdo‐Baum K, Thomopoulos S, Grabe H, Van der Auwera S, Wittfeld K, Nielsen J, Buckner R, Smoller J, Mwangi B, Soares J, Wu M, Zunta‐Soares G, Jackowski A, Pan P, Salum G, Assaf M, Diefenbach G, Brambilla P, Maggioni E, Hofmann D, Straube T, Andreescu C, Berta R, Tamburo E, Price R, Manfro G, Critchley H, Makovac E, Mancini M, Meeten F, Ottaviani C, Agosta F, Canu E, Cividini C, Filippi M, Kostić M, Munjiza A, Filippi C, Leibenluft E, Alberton B, Balderston N, Ernst M, Grillon C, Mujica‐Parodi L, van Nieuwenhuizen H, Fonzo G, Paulus M, Stein M, Gur R, Gur R, Kaczkurkin A, Larsen B, Satterthwaite T, Harper J, Myers M, Perino M, Yu Q, Sylvester C, Veltman D, Lueken U, Van der Wee N, Stein D, Jahanshad N, Thompson P, Pine D, Winkler A. Mega‐analysis methods in ENIGMA: The experience of the generalized anxiety disorder working group. Human Brain Mapping 2020, 43: 255-277. PMID: 32596977, PMCID: PMC8675407, DOI: 10.1002/hbm.25096.Peer-Reviewed Original ResearchMeSH KeywordsAnxiety DisordersCerebral CortexData Interpretation, StatisticalHumansMeta-Analysis as TopicMulticenter Studies as TopicNeuroimagingMultiple testing correction over contrasts for brain imaging
Alberton B, Nichols T, Gamba H, Winkler A. Multiple testing correction over contrasts for brain imaging. NeuroImage 2020, 216: 116760. PMID: 32201328, PMCID: PMC8191638, DOI: 10.1016/j.neuroimage.2020.116760.Peer-Reviewed Original ResearchMeSH KeywordsAdultBrainData Interpretation, StatisticalHumansModels, StatisticalNeuroimagingPsychological DistancePsychometrics
2016
Faster 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 ResearchMeSH KeywordsAlgorithmsBrainComputer SimulationData Interpretation, StatisticalHumansImage EnhancementImage Interpretation, Computer-AssistedModels, StatisticalNeuroimagingReproducibility of ResultsSensitivity and SpecificityConceptsGamma 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 hypothesis
2015
Multi-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 Research
2014
Discovering Schizophrenia Endophenotypes in Randomly Ascertained Pedigrees
Glahn DC, Williams JT, McKay DR, Knowles EE, Sprooten E, Mathias SR, Curran JE, Kent JW, Carless MA, Göring HH, Dyer TD, Woolsey MD, Winkler AM, Olvera RL, Kochunov P, Fox PT, Duggirala R, Almasy L, Blangero J. Discovering Schizophrenia Endophenotypes in Randomly Ascertained Pedigrees. Biological Psychiatry 2014, 77: 75-83. PMID: 25168609, PMCID: PMC4261014, DOI: 10.1016/j.biopsych.2014.06.027.Peer-Reviewed Original ResearchPermutation 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 ResearchMeSH KeywordsAlgorithmsAnimalsBrainBrain MappingComputer SimulationData Interpretation, StatisticalHumansLinear ModelsNerve NetResearch DesignConceptsPermutation 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
2012
Default mode network activity and white matter integrity in healthy middle-aged ApoE4 carriers
Patel KT, Stevens MC, Pearlson GD, Winkler AM, Hawkins KA, Skudlarski P, Bauer LO. Default mode network activity and white matter integrity in healthy middle-aged ApoE4 carriers. Brain Imaging And Behavior 2012, 7: 60-67. PMID: 23011382, DOI: 10.1007/s11682-012-9187-y.Peer-Reviewed Original ResearchMeSH KeywordsAdultAnxietyApolipoprotein E4BrainData Interpretation, StatisticalDepressionDiffusion Tensor ImagingDNAFemaleGenotypeHeterozygoteHumansImage Processing, Computer-AssistedIntelligence TestsMagnetic Resonance ImagingMaleMiddle AgedNerve NetNeuropsychological TestsPrincipal Component AnalysisSmokingWechsler ScalesConceptsAPOE4 carriersMagnetic resonance imagingAlzheimer's diseaseFractional anisotropyFunctional MRI abnormalitiesUnderlying neuropathologic changesWhite matter fractional anisotropyWhite matter changesDefault mode network connectivityDefault mode network activityGenetic risk factorsMode network connectivityMiddle-aged adultsWhite matter integrityMRI abnormalitiesNeuropathologic changesRisk factorsApolipoprotein EMatter changesCognitive declineResonance imagingOlder ageFunctional connectivityGenetic riskDMN regions