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
Time related effects on functional brain connectivity after serotonergic and cholinergic neuromodulation
Klaassens B, Rombouts S, Winkler A, van Gorsel H, van der Grond J, van Gerven J. Time related effects on functional brain connectivity after serotonergic and cholinergic neuromodulation. Human Brain Mapping 2016, 38: 308-325. PMID: 27622387, PMCID: PMC5215384, DOI: 10.1002/hbm.23362.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultBrainBrain MappingCholinergic AgentsCholinesterase InhibitorsCitalopramCross-Over StudiesDouble-Blind MethodFemaleGalantamineHumansHydrocortisoneImage Processing, Computer-AssistedMaleModels, NeurologicalOxygenProlactinSelective Serotonin Reuptake InhibitorsSerotoninYoung AdultConceptsFunctional magnetic resonance imagingState functional magnetic resonance imagingSelf-referential mechanismCognitive performanceNeurotransmitter systemsVisual perceptionAcetylcholinesterase inhibitor galantamineSelective serotonin reuptake inhibitor citalopramSerotonin reuptake inhibitor citalopramFunctional connectivityRs-fMRI scansSensorimotor networkReuptake inhibitor citalopramBrain neurotransmitter systemsFunctional networksPsychopharmacological researchHealthy young volunteersTime-specific effectsMagnetic resonance imagingGroup comparisonsState networksCrossover studySerotonergic stimulationAcute influenceHeart rateNon‐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 ResearchAlgorithmsCerebral CortexHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingNeuroimagingPain MeasurementStatistics, Nonparametric
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 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
Assessment of whole brain white matter integrity in youths and young adults with a family history of substance‐use disorders
Acheson A, Wijtenburg S, Rowland L, Winkler A, Gaston F, Mathias C, Fox P, Lovallo W, Wright S, Hong L, Dougherty D, Kochunov P. Assessment of whole brain white matter integrity in youths and young adults with a family history of substance‐use disorders. Human Brain Mapping 2014, 35: 5401-5413. PMID: 24867528, PMCID: PMC4206569, DOI: 10.1002/hbm.22559.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultBrainChildCohort StudiesDiffusion Magnetic Resonance ImagingFamily HealthFemaleHumansImage Processing, Computer-AssistedMaleSubstance-Related DisordersWhite MatterYoung AdultConceptsSubstance use disordersLower FA valuesFamily historyUse disordersFA valuesCorona radiataWhole-brain white matter integrityYoung adultsFrontostriatal white matter tractsBrain white matter integrityFrontal white matterPosterior corona radiataAnterior corona radiataFractional anisotropy (FA) dataHigher radial diffusivitySuch family historyWhite matter tractsWhite matter integrityAge-related declineImpaired myelinationAxonal myelinationCorpus callosumGeneral populationWhite matterSignificant negative correlation
2012
Testing the Hypothesis of Accelerated Cerebral White Matter Aging in Schizophrenia and Major Depression
Kochunov P, Glahn DC, Rowland LM, Olvera RL, Winkler A, Yang YH, Sampath H, Carpenter WT, Duggirala R, Curran J, Blangero J, Hong LE. Testing the Hypothesis of Accelerated Cerebral White Matter Aging in Schizophrenia and Major Depression. Biological Psychiatry 2012, 73: 482-491. PMID: 23200529, PMCID: PMC3645491, DOI: 10.1016/j.biopsych.2012.10.002.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAgingBrainBrain MappingDepressive Disorder, MajorDiffusion Tensor ImagingFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedNerve Fibers, MyelinatedSchizophreniaConceptsMajor depressive disorderMDD cohortAge-related declineFractional anisotropyWM tractsFA valuesAge interactionMain outcome measuresCerebral white matterPathophysiology of schizophreniaAverage fractional anisotropyWhite matter integrityCerebral WMMajor WM tractsMDD patientsDepressive disorderMajor depressionOutcome measuresFunctional declineSCZ patientsWhite matterCohortPeak myelinationPatientsWM FA valuesDefault 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
2010
A Multimodal Assessment of the Genetic Control over Working Memory
Karlsgodt KH, Kochunov P, Winkler AM, Laird AR, Almasy L, Duggirala R, Olvera RL, Fox PT, Blangero J, Glahn DC. A Multimodal Assessment of the Genetic Control over Working Memory. Journal Of Neuroscience 2010, 30: 8197-8202. PMID: 20554870, PMCID: PMC2894480, DOI: 10.1523/jneurosci.0359-10.2010.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAnisotropyBrainBrain MappingDiffusion Magnetic Resonance ImagingFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMemory, Short-TermMexican AmericansMiddle AgedNerve Fibers, MyelinatedNeural PathwaysNeuropsychological TestsOxygenPedigreeYoung AdultConceptsMemory performanceComplex cognitive functionsHigher-level processesGray matter densityWorking memoryCognitive measuresResponse taskStructural magnetic resonanceGeneral intelligenceSuperior longitudinal fasciculusHuman participantsWhite matter tractsCognitive functionCognitive deficitsOnly performanceMultimodal assessmentBrain regionsMemoryCommon genetic factorsLongitudinal fasciculusMajor white matter tractsLevel processesMeasuresGray matter regionsCore component