2022
Shared brain and genetic architectures between mental health and physical activity
Zhang W, Paul S, Winkler A, Bogdan R, Bijsterbosch J. Shared brain and genetic architectures between mental health and physical activity. Translational Psychiatry 2022, 12: 428. PMID: 36192376, PMCID: PMC9530213, DOI: 10.1038/s41398-022-02172-w.Peer-Reviewed Original ResearchMeSH KeywordsBrainBrain MappingExerciseGenome-Wide Association StudyHumansMagnetic Resonance ImagingMental HealthNerve NetConceptsPhysical activityMental healthConnectivity strengthPhysical activity measuresSelf-reported mental health measuresMental health measuresPhysical activity modelBrain network architectureLatent causal variable analysisAccelerometer-derived measuresHealth measuresActivity measuresBeneficial effectsBiological correlatesUK BiobankCausal relationshipBrain mechanismsNeural correlatesHealthLinkage disequilibrium score regressionSimilar loading patternsBrainPutative causal relationshipDisequilibrium score regressionForms of psychopathology
2021
Patients with chronic pain exhibit individually unique cortical signatures of pain encoding
Mayr A, Jahn P, Stankewitz A, Deak B, Winkler A, Witkovsky V, Eren O, Straube A, Schulz E. Patients with chronic pain exhibit individually unique cortical signatures of pain encoding. Human Brain Mapping 2021, 43: 1676-1693. PMID: 34921467, PMCID: PMC8886665, DOI: 10.1002/hbm.25750.Peer-Reviewed Original ResearchMeSH KeywordsBrain MappingChronic PainHumansMagnetic Resonance ImagingMigraine DisordersPain MeasurementConceptsChronic back painEndogenous painAnterior insular cortexBack painChronic painInsular cortexCortical signaturesChronic pain exhibitChronic migraine patientsChange of painIntensity of painFunctional MRI sessionsUnique cortical signaturesChronic migrainePain intensityMigraine patientsPainMultifaceted diseaseClinical observationsPatientsLinear mixed effects modelsFrontal operculumMRI sessionsMixed effects modelsCortical processesThe Enhancing NeuroImaging Genetics through Meta‐Analysis Consortium: 10 Years of Global Collaborations in Human Brain Mapping
Thompson P, Jahanshad N, Schmaal L, Turner J, Winkler A, Thomopoulos S, Egan G, Kochunov P. The Enhancing NeuroImaging Genetics through Meta‐Analysis Consortium: 10 Years of Global Collaborations in Human Brain Mapping. Human Brain Mapping 2021, 43: 15-22. PMID: 34612558, PMCID: PMC8675422, DOI: 10.1002/hbm.25672.Peer-Reviewed Original ResearchMeSH KeywordsBrain MappingGeneticsHumansMeta-Analysis as TopicMulticenter Studies as TopicNeuroimagingConceptsMagnetic resonance imagingMeta-Analysis (ENIGMA) consortiumEnhancing Neuroimaging GeneticsBrain developmentBrain mappingHuman brain mappingBrain mapping analysisTask-based functional magnetic resonance imagingSubstance use disordersFunctional magnetic resonance imagingPosttraumatic stress disorderHuman brain disordersHuman brain developmentObsessive-compulsive disorderDiffusion magnetic resonance imagingMajor depressionUse disordersBipolar disorderBrain disordersBrain scansResonance imagingMagnetic resonance spectroscopyHuman cortexStress disorderLarge-scale studies
2019
Schizophrenia Exhibits Bi-directional Brain-Wide Alterations in Cortico-Striato-Cerebellar Circuits
Ji JL, Diehl C, Schleifer C, Tamminga CA, Keshavan MS, Sweeney JA, Clementz BA, Hill SK, Pearlson G, Yang G, Creatura G, Krystal JH, Repovs G, Murray J, Winkler A, Anticevic A. Schizophrenia Exhibits Bi-directional Brain-Wide Alterations in Cortico-Striato-Cerebellar Circuits. Cerebral Cortex 2019, 29: 4463-4487. PMID: 31157363, PMCID: PMC6917525, DOI: 10.1093/cercor/bhy306.Peer-Reviewed Original ResearchConceptsBrain-wide alterationsResting-state functional magnetic resonanceSensory-motor cortexFunctional magnetic resonanceNeural dysconnectivityPolysynaptic connectionsCortico-striatoFunctional disturbancesChronic patientsAssociation cortexFocal disruptionNeural effectsCerebellar circuitsPatientsDysconnectivityStriatal componentsSchizophreniaCortexSpecific alterationsHallmark featureCognitive performanceAlterationsFunctional pathwaysQuestion accountsMagnetic resonanceStrategy-dependent modulation of cortical pain circuits for the attenuation of pain
Schulz E, Stankewitz A, Witkovský V, Winkler A, Tracey I. Strategy-dependent modulation of cortical pain circuits for the attenuation of pain. Cortex 2019, 113: 255-266. PMID: 30711854, DOI: 10.1016/j.cortex.2018.12.014.Peer-Reviewed Original ResearchConceptsCognitive strategiesBrain activityDifferent cognitive strategiesPain attenuationUnderlying neuronal mechanismsPain-related brain activityVariability of performanceNeuroscientific techniquesNeurofeedback techniquesT fMRIPerception of painBehavioral dataBehavioral studiesTrial levelBrain regionsCortical regionsNeuronal mechanismsCortical feedbackInsular cortexDistractionTaskPain perceptionPotential predispositionAttenuation of painPerception
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 rate
2015
The common genetic influence over processing speed and white matter microstructure: Evidence from the Old Order Amish and Human Connectome Projects
Kochunov P, Thompson P, Winkler A, Morrissey M, Fu M, Coyle T, Du X, Muellerklein F, Savransky A, Gaudiot C, Sampath H, Eskandar G, Jahanshad N, Patel B, Rowland L, Nichols T, O'Connell J, Shuldiner A, Mitchell B, Hong L. The common genetic influence over processing speed and white matter microstructure: Evidence from the Old Order Amish and Human Connectome Projects. NeuroImage 2015, 125: 189-197. PMID: 26499807, PMCID: PMC4691385, DOI: 10.1016/j.neuroimage.2015.10.050.Peer-Reviewed Original ResearchStriatal activity and reduced white matter increase frontal activity in youths with family histories of alcohol and other substance‐use disorders performing a go/no‐go task
Acheson A, Tagamets M, Winkler A, Rowland L, Mathias C, Wright S, Hong L, Kochunov P, Dougherty D. Striatal activity and reduced white matter increase frontal activity in youths with family histories of alcohol and other substance‐use disorders performing a go/no‐go task. Brain And Behavior 2015, 5: e00352. PMID: 26221573, PMCID: PMC4511289, DOI: 10.1002/brb3.352.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAspartic AcidBrain MappingChildCorpus StriatumExecutive FunctionFamilyFemaleGenetic Predisposition to DiseaseHumansInhibition, PsychologicalLongitudinal StudiesMagnetic Resonance ImagingMaleMotor CortexNeural PathwaysProton Magnetic Resonance SpectroscopyPsychomotor PerformanceSignal Processing, Computer-AssistedSubstance-Related DisordersWhite MatterConceptsSupplementary motor areaSubstance use disordersWhite matter integrityFamily historyFrontal white matter integrityStriatal activityDorsal striatumFrontal cortical activityCortical activitySMA activityFrontal cortical projectionsDrug use disordersDorsal striatal activitySuch family historyDorsal striatum activityCortical projectionsMotor areaElevated riskOngoing longitudinal studyUse disordersWhite matterDownstream projectionsGo/
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
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 ResearchConceptsMajor 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 valuesMeasuring and comparing brain cortical surface area and other areal quantities
Winkler AM, Sabuncu MR, Yeo BT, Fischl B, Greve DN, Kochunov P, Nichols TE, Blangero J, Glahn DC. Measuring and comparing brain cortical surface area and other areal quantities. NeuroImage 2012, 61: 1428-1443. PMID: 22446492, PMCID: PMC3641659, DOI: 10.1016/j.neuroimage.2012.03.026.Peer-Reviewed Original Research
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 componentGenetics of microstructure of cerebral white matter using diffusion tensor imaging
Kochunov P, Glahn DC, Lancaster JL, Winkler AM, Smith S, Thompson PM, Almasy L, Duggirala R, Fox PT, Blangero J. Genetics of microstructure of cerebral white matter using diffusion tensor imaging. NeuroImage 2010, 53: 1109-1116. PMID: 20117221, PMCID: PMC2888778, DOI: 10.1016/j.neuroimage.2010.01.078.Peer-Reviewed Original Research
2009
Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies
Winkler AM, Kochunov P, Blangero J, Almasy L, Zilles K, Fox PT, Duggirala R, Glahn DC. Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies. NeuroImage 2009, 53: 1135-1146. PMID: 20006715, PMCID: PMC2891595, DOI: 10.1016/j.neuroimage.2009.12.028.Peer-Reviewed Original Research