2023
A systematic review and meta-analysis of resting-state fMRI in anxiety disorders: Need for data sharing to move the field forward
Zugman A, Jett L, Antonacci C, Winkler A, Pine D. A systematic review and meta-analysis of resting-state fMRI in anxiety disorders: Need for data sharing to move the field forward. Journal Of Anxiety Disorders 2023, 99: 102773. PMID: 37741177, PMCID: PMC10753861, DOI: 10.1016/j.janxdis.2023.102773.Peer-Reviewed Original ResearchConceptsAnxiety disordersSystematic reviewPrevalent psychiatric disordersStrict inclusion criteriaAnterior cingulate cortexMedial frontal gyrusActivation likelihood estimation (ALE) analysisResting-state fMRITime of scanningFunctional imaging modalitiesPatient groupHealthy groupInclusion criteriaHealthy volunteersPsychiatric disordersCingulate cortexStudy numbersRs-fMRIFrontal gyrusDisordersImaging modalitiesPatientsBrain activityFamily-wise errorGyrusMultimodal study of the neural sources of error monitoring in adolescents and adults
Conte S, Richards J, Fox N, Valadez E, McSweeney M, Tan E, Pine D, Winkler A, Liuzzi L, Cardinale E, White L, Buzzell G. Multimodal study of the neural sources of error monitoring in adolescents and adults. Psychophysiology 2023, 60: e14336. PMID: 37212619, PMCID: PMC10524909, DOI: 10.1111/psyp.14336.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAnxiety DisordersChildElectroencephalographyEvoked PotentialsGyrus CinguliHumansMagnetic Resonance ImagingConceptsDorsal anterior cingulate cortexEvent-related potentialsError monitoringGoal-directed behaviorUnderlying neural mechanismsAnterior cingulate cortexAge-related differencesPerformance monitoringTemperamental riskERN componentIndividual differencesN2 componentNeural mechanismsNeural responsesAge differencesNeural generatorsCingulate cortexNeural sourcesFunctional MRIAdult participantsMultimodal studyPatterns of activityDevelopmental changesROI analysisAdult groupStructural and functional asymmetry of the neonatal cerebral cortex
Williams L, Fitzgibbon S, Bozek J, Winkler A, Dimitrova R, Poppe T, Schuh A, Makropoulos A, Cupitt J, O’Muircheartaigh J, Duff E, Cordero-Grande L, Price A, Hajnal J, Rueckert D, Smith S, Edwards A, Robinson E. Structural and functional asymmetry of the neonatal cerebral cortex. Nature Human Behaviour 2023, 7: 942-955. PMID: 36928781, DOI: 10.1038/s41562-023-01542-8.Peer-Reviewed Original ResearchConceptsCortical asymmetryHealthy term-born neonatesNeonatal cerebral cortexTerm-born neonatesTerm-equivalent ageHealthy young adultsHuman Connectome ProjectPreterm birthPreterm neonatesNeonatal cortexCerebral cortexTerm cohortFunctional magnetic resonance imagesMagnetic resonance imagesConnectome ProjectBrain asymmetryYoung adultsSignificant differencesNeonatesResonance imagesFunctional asymmetryCortexBirthBiological sexCohortVolume of subcortical brain regions in social anxiety disorder: mega-analytic results from 37 samples in the ENIGMA-Anxiety Working Group
Groenewold N, Bas-Hoogendam J, Amod A, Laansma M, Van Velzen L, Aghajani M, Hilbert K, Oh H, Salas R, Jackowski A, Pan P, Salum G, Blair J, Blair K, Hirsch J, Pantazatos S, Schneier F, Talati A, Roelofs K, Volman I, Blanco-Hinojo L, Cardoner N, Pujol J, Beesdo-Baum K, Ching C, Thomopoulos S, Jansen A, Kircher T, Krug A, Nenadić I, Stein F, Dannlowski U, Grotegerd D, Lemke H, Meinert S, Winter A, Erb M, Kreifelts B, Gong Q, Lui S, Zhu F, Mwangi B, Soares J, Wu M, Bayram A, Canli M, Tükel R, Westenberg P, Heeren A, Cremers H, Hofmann D, Straube T, Doruyter A, Lochner C, Peterburs J, Van Tol M, Gur R, Kaczkurkin A, Larsen B, Satterthwaite T, Filippi C, Gold A, Harrewijn A, Zugman A, Bülow R, Grabe H, Völzke H, Wittfeld K, Böhnlein J, Dohm K, Kugel H, Schrammen E, Zwanzger P, Leehr E, Sindermann L, Ball T, Fonzo G, Paulus M, Simmons A, Stein M, Klumpp H, Phan K, Furmark T, Månsson K, Manzouri A, Avery S, Blackford J, Clauss J, Feola B, Harper J, Sylvester C, Lueken U, Veltman D, Winkler A, Jahanshad N, Pine D, Thompson P, Stein D, Van der Wee N. Volume of subcortical brain regions in social anxiety disorder: mega-analytic results from 37 samples in the ENIGMA-Anxiety Working Group. Molecular Psychiatry 2023, 28: 1079-1089. PMID: 36653677, PMCID: PMC10804423, DOI: 10.1038/s41380-022-01933-9.Peer-Reviewed Original ResearchConceptsSocial anxiety disorderSubcortical brain regionsAnxiety disordersSAD patientsBilateral putamen volumesSubcortical regionsBrain regionsLinear mixed effects analysisComorbid anxiety disordersSubcortical volumesFamily-wise errorPutamen volumeSAD onsetVolumetric differencesPallidum volumeMixed effects analysisD effect sizesInconsistent findingsLeft putamenEffect sizeFull samplePrevious findingsInternational sampleSignificant interactionLimited convergence
2022
Serotonin regulation of behavior via large-scale neuromodulation of serotonin receptor networks
Salvan P, Fonseca M, Winkler A, Beauchamp A, Lerch J, Johansen-Berg H. Serotonin regulation of behavior via large-scale neuromodulation of serotonin receptor networks. Nature Neuroscience 2022, 26: 53-63. PMID: 36522497, PMCID: PMC9829536, DOI: 10.1038/s41593-022-01213-3.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsDorsal Raphe NucleusHumansMagnetic Resonance ImagingMiceNeuroimagingReceptors, SerotoninSerotoninConceptsMagnetic resonance imagingSerotonin neuronsSerotonin receptorsSerotonin regulationDorsal raphe serotonin neuronsReceptor networkResting-state functional magnetic resonance imagingOptogenetic functional magnetic resonance imagingRaphe serotonin neuronsSpecific serotonin receptorsBrain-wide activityFunctional magnetic resonance imagingSerotonin receptor typesDifferent serotonin receptorsBrain-wide distributionSerotonin effectsReceptor typesResonance imagingFunctional connectivityReceptorsNeuronsSingle-cell levelCompelling evidenceFunctional signaturesMultiple aspectsShared 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 psychopathologySARS-CoV-2 is associated with changes in brain structure in UK Biobank
Douaud G, Lee S, Alfaro-Almagro F, Arthofer C, Wang C, McCarthy P, Lange F, Andersson J, Griffanti L, Duff E, Jbabdi S, Taschler B, Keating P, Winkler A, Collins R, Matthews P, Allen N, Miller K, Nichols T, Smith S. SARS-CoV-2 is associated with changes in brain structure in UK Biobank. Nature 2022, 604: 697-707. PMID: 35255491, PMCID: PMC9046077, DOI: 10.1038/s41586-022-04569-5.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overBiological Specimen BanksBrainCOVID-19HumansMagnetic Resonance ImagingMiddle AgedSARS-CoV-2SmellUnited KingdomConceptsSARS-CoV-2Pre-existing risk factorsSARS-CoV-2 infectionSARS-CoV-2 casesPrimary olfactory cortexGreater reductionUK BiobankGreater cognitive declineMagnetic resonance imagingGray matter thicknessLongitudinal effectsNeuroinflammatory eventsRisk factorsOlfactory cortexMild casesBrain changesBrain pathologyCOVID-191Parahippocampal gyrusBrain imaging resultsCognitive declineTissue damageResonance imagingOlfactory pathwayOrbitofrontal cortex
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 processesReassessing associations between white matter and behaviour with multimodal microstructural imaging
Lazari A, Salvan P, Cottaar M, Papp D, van der Werf O, Johnstone A, Sanders Z, Sampaio-Baptista C, Eichert N, Miyamoto K, Winkler A, Callaghan M, Nichols T, Stagg C, Rushworth M, Verhagen L, Johansen-Berg H. Reassessing associations between white matter and behaviour with multimodal microstructural imaging. Cortex 2021, 145: 187-200. PMID: 34742100, PMCID: PMC8940642, DOI: 10.1016/j.cortex.2021.08.017.Peer-Reviewed Original ResearchCortical and subcortical brain structure in generalized anxiety disorder: findings from 28 research sites in the ENIGMA-Anxiety Working Group
Harrewijn A, Cardinale E, Groenewold N, Bas-Hoogendam J, Aghajani M, Hilbert K, Cardoner N, Porta-Casteràs D, Gosnell S, Salas R, Jackowski A, Pan P, Salum G, Blair K, Blair J, Hammoud M, Milad M, Burkhouse K, Phan K, Schroeder H, Strawn J, Beesdo-Baum K, Jahanshad N, Thomopoulos S, Buckner R, Nielsen J, Smoller J, Soares J, Mwangi B, Wu M, Zunta-Soares G, Assaf M, Diefenbach G, Brambilla P, Maggioni E, Hofmann D, Straube T, Andreescu C, Berta R, Tamburo E, Price R, Manfro G, Agosta F, Canu E, Cividini C, Filippi M, Kostić M, Munjiza Jovanovic A, Alberton B, Benson B, Freitag G, Filippi C, Gold A, Leibenluft E, Ringlein G, Werwath K, Zwiebel H, Zugman A, Grabe H, Van der Auwera S, Wittfeld K, Völzke H, Bülow R, Balderston N, Ernst M, Grillon C, Mujica-Parodi L, van Nieuwenhuizen H, Critchley H, Makovac E, Mancini M, Meeten F, Ottaviani C, Ball T, Fonzo G, Paulus M, Stein M, Gur R, Gur R, Kaczkurkin A, Larsen B, Satterthwaite T, Harper J, Myers M, Perino M, Sylvester C, Yu Q, Lueken U, Veltman D, Thompson P, Stein D, Van der Wee N, Winkler A, Pine D. Cortical and subcortical brain structure in generalized anxiety disorder: findings from 28 research sites in the ENIGMA-Anxiety Working Group. Translational Psychiatry 2021, 11: 502. PMID: 34599145, PMCID: PMC8486763, DOI: 10.1038/s41398-021-01622-1.Peer-Reviewed Original ResearchConceptsGeneralized anxiety disorderHealthy controlsBrain structuresMain analysisSecondary analysisAnxiety disordersMale healthy controlsVertex-wise cortical thicknessFemale healthy controlsRandom interceptGlobal brain measuresStructural magnetic resonanceCortical surface areaSubcortical brain structuresMedication useYears of educationCortical thicknessSubcortical volumesWorking GroupVentral diencephalonSmall sample sizeBrain measuresInconsistent findingsRight ventral diencephalonMale individualsAllocentric representation in the human amygdala and ventral visual stream
Evensmoen H, Rimol L, Winkler A, Betzel R, Hansen T, Nili H, Håberg A. Allocentric representation in the human amygdala and ventral visual stream. Cell Reports 2021, 34: 108658. PMID: 33472067, DOI: 10.1016/j.celrep.2020.108658.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingMedial temporal lobeVentral visual streamHigh-resolution functional magnetic resonance imagingMagnetic resonance imagingBrain activation patternsDistinct neural populationsVisual streamMain brain structuresEntorhinal cortexTemporal lobePerirhinal cortexResonance imagingParahippocampal cortexBrain structuresCortexHippocampusAmygdalaFusiform cortexActivation patternsHuman amygdalaYoung menNeural populationsAllocentric representationsConnector hubs
2020
Amygdala Functional Connectivity and Negative Reactive Temperament at Age 4 Months
Filippi C, Ravi S, Bracy M, Winkler A, Sylvester C, Pine D, Fox N. Amygdala Functional Connectivity and Negative Reactive Temperament at Age 4 Months. Journal Of The American Academy Of Child & Adolescent Psychiatry 2020, 60: 1137-1146. PMID: 33385507, PMCID: PMC8239057, DOI: 10.1016/j.jaac.2020.11.021.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAmygdalaAnxietyHumansInfantMagnetic Resonance ImagingPrefrontal CortexTemperamentConceptsAmygdala connectivityPositive affectNegative affectParent reportChild-reported anxiety symptomsCognitive control mechanismsFunctional magnetic resonance imagingWhole-brain voxelwise approachLow positive affectAmygdala functional connectivityResting-state functional magnetic resonance imagingIndependent longitudinal samplesReactivity assessmentTemperamental riskReactive temperamentInfant temperamentAnxiety symptomsConnectivity correlatesLongitudinal sampleFunctional connectivityMaternal reportsNegative reactivityAffectTemperamentDistressNeuroimaging Association Scores: reliability and validity of aggregate measures of brain structural features linked to mental disorders in youth
Axelrud L, Simioni A, Pine D, Winkler A, Pan P, Sato J, Zugman A, Parker N, Picon F, Jackowski A, Hoexter M, Barker G, Martinot J, Martinot M, Satterthwaite T, Rohde L, Milham M, Barker E, Salum G. Neuroimaging Association Scores: reliability and validity of aggregate measures of brain structural features linked to mental disorders in youth. European Child & Adolescent Psychiatry 2020, 30: 1895-1906. PMID: 33030612, PMCID: PMC9077631, DOI: 10.1007/s00787-020-01653-x.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentBrainHumansMagnetic Resonance ImagingMental DisordersNeuroimagingReproducibility of ResultsConceptsGeneral psychopathologyCortical thicknessBrain featuresSubcortical volumesMental disordersStructural brain featuresInternal consistencyBrain structural featuresHealthy Brain NetworkPsychiatric disordersAssociation scoreSymptomatic domainsHigh internal consistencyPsychopathology assessmentDisordersBrain networksLow internal consistencyEffect sizeBehavioral phenotypesScoresReplicable associationsPsychopathologyWeighted scoreAssociationReplicable markersENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries
Thompson PM, Jahanshad N, Ching CRK, Salminen LE, Thomopoulos SI, Bright J, Baune BT, Bertolín S, Bralten J, Bruin WB, Bülow R, Chen J, Chye Y, Dannlowski U, de Kovel CGF, Donohoe G, Eyler LT, Faraone SV, Favre P, Filippi CA, Frodl T, Garijo D, Gil Y, Grabe HJ, Grasby KL, Hajek T, Han LKM, Hatton SN, Hilbert K, Ho TC, Holleran L, Homuth G, Hosten N, Houenou J, Ivanov I, Jia T, Kelly S, Klein M, Kwon JS, Laansma MA, Leerssen J, Lueken U, Nunes A, Neill J, Opel N, Piras F, Piras F, Postema MC, Pozzi E, Shatokhina N, Soriano-Mas C, Spalletta G, Sun D, Teumer A, Tilot AK, Tozzi L, van der Merwe C, Van Someren EJW, van Wingen GA, Völzke H, Walton E, Wang L, Winkler AM, Wittfeld K, Wright MJ, Yun JY, Zhang G, Zhang-James Y, Adhikari BM, Agartz I, Aghajani M, Aleman A, Althoff RR, Altmann A, Andreassen OA, Baron DA, Bartnik-Olson BL, Marie Bas-Hoogendam J, Baskin-Sommers AR, Bearden CE, Berner LA, Boedhoe PSW, Brouwer RM, Buitelaar JK, Caeyenberghs K, Cecil CAM, Cohen RA, Cole JH, Conrod PJ, De Brito SA, de Zwarte SMC, Dennis EL, Desrivieres S, Dima D, Ehrlich S, Esopenko C, Fairchild G, Fisher SE, Fouche JP, Francks C, Frangou S, Franke B, Garavan HP, Glahn DC, Groenewold NA, Gurholt TP, Gutman BA, Hahn T, Harding IH, Hernaus D, Hibar DP, Hillary FG, Hoogman M, Hulshoff Pol HE, Jalbrzikowski M, Karkashadze GA, Klapwijk ET, Knickmeyer RC, Kochunov P, Koerte IK, Kong XZ, Liew SL, Lin AP, Logue MW, Luders E, Macciardi F, Mackey S, Mayer AR, McDonald CR, McMahon AB, Medland SE, Modinos G, Morey RA, Mueller SC, Mukherjee P, Namazova-Baranova L, Nir TM, Olsen A, Paschou P, Pine DS, Pizzagalli F, Rentería ME, Rohrer JD, Sämann PG, Schmaal L, Schumann G, Shiroishi MS, Sisodiya SM, Smit DJA, Sønderby IE, Stein DJ, Stein JL, Tahmasian M, Tate DF, Turner JA, van den Heuvel OA, van der Wee NJA, van der Werf YD, van Erp TGM, van Haren NEM, van Rooij D, van Velzen LS, Veer IM, Veltman DJ, Villalon-Reina JE, Walter H, Whelan CD, Wilde EA, Zarei M, Zelman V. ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries. Translational Psychiatry 2020, 10: 100. PMID: 32198361, PMCID: PMC7083923, DOI: 10.1038/s41398-020-0705-1.Peer-Reviewed Original ResearchMeSH KeywordsBrainDepressive Disorder, MajorHumansMagnetic Resonance ImagingNeuroimagingReproducibility of ResultsConceptsAttention-deficit/hyperactivity disorderPost-traumatic stress disorderAutism spectrum disorderObsessive-compulsive disorderDissociative identity disorderBrain systemsSubstance use disordersHyperactivity disorderSpectrum disorderStress disorderConduct disorderAnxiety disordersBrain metricsDiverse samplePsychosocial factorsIdentity disorderAntisocial personalityHuman brainSuicidal thoughtsUse disordersHarmonized analysesGender differencesRobustness of findingsNeuroscienceBrain injuryMinimal Relationship between Local Gyrification and General Cognitive Ability in Humans
Mathias S, Knowles E, Mollon J, Rodrigue A, Koenis M, Alexander-Bloch A, Winkler A, Olvera R, Duggirala R, Göring H, Curran J, Fox P, Almasy L, Blangero J, Glahn D. Minimal Relationship between Local Gyrification and General Cognitive Ability in Humans. Cerebral Cortex 2020, 30: 3439-3450. PMID: 32037459, PMCID: PMC7233007, DOI: 10.1093/cercor/bhz319.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overCerebral CortexCognitionFemaleHumansIntelligenceMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological TestsYoung AdultConceptsGeneral cognitive abilityCognitive abilitiesLocal gyrificationSuperior cognitive abilitiesCortical surface pointsNeurobiology of intelligenceCognitive testsNeuroimaging studiesNeuroanatomical variablesStructural brain imagesMinimal relationshipCortical regionsEffect sizeGyrificationPrevious studiesAbilityNeurobiologyBrain imagesIntelligenceRelationshipHumansIndividualsPotential issuesImplicationsProfound implications
2019
Anticipatory Threat Responding: Associations With Anxiety, Development, and Brain Structure
Abend R, Gold A, Britton J, Michalska K, Shechner T, Sachs J, Winkler A, Leibenluft E, Averbeck B, Pine D. Anticipatory Threat Responding: Associations With Anxiety, Development, and Brain Structure. Biological Psychiatry 2019, 87: 916-925. PMID: 31955915, PMCID: PMC7211142, DOI: 10.1016/j.biopsych.2019.11.006.Peer-Reviewed Original ResearchConceptsSkin conductance responsesConductance responsesBrain structuresThreat conditioningPathological anxietyComparison subjectsPsychophysiological responsesLarger patient samplesPrefrontal cortical thicknessHealthy comparison subjectsStructural magnetic resonance imaging (MRI) dataThreat stimuliAnticipatory respondingExtinction paradigmStimulus typeMagnetic resonance imaging dataWide age rangeCortical thicknessPatientsNeurodevelopmental changesAnticipatory responsesTranslational advancesStructural brainAdult populationPatient samplesCombining fMRI during resting state and an attention bias task in children
Harrewijn A, Abend R, Linke J, Brotman M, Fox N, Leibenluft E, Winkler A, Pine D. Combining fMRI during resting state and an attention bias task in children. NeuroImage 2019, 205: 116301. PMID: 31639510, PMCID: PMC6911838, DOI: 10.1016/j.neuroimage.2019.116301.Peer-Reviewed Original ResearchConceptsDot-probe taskAttention bias taskFunctional connectivityThreat biasBias taskCognitive tasksDifferent attentional processesReconfiguration efficiencyTask-based fMRI dataAttentional processesAttention taskSocial reticenceTask performanceAttention stateAnxiety symptomsFMRI dataPattern of modulationPrior researchTaskIQFMRICurrent studyChildrenFunctional hierarchyNetwork changesSchizophrenia 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 ResearchMeSH KeywordsAdultBrainBrain MappingCerebellumCerebral CortexCorpus StriatumFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysSchizophreniaThalamusConceptsBrain-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 resonanceAccelerated estimation and permutation inference for ACE modeling
Chen X, Formisano E, Blokland G, Strike L, McMahon K, de Zubicaray G, Thompson P, Wright M, Winkler A, Ge T, Nichols T. Accelerated estimation and permutation inference for ACE modeling. Human Brain Mapping 2019, 40: 3488-3507. PMID: 31037793, PMCID: PMC6680147, DOI: 10.1002/hbm.24611.Peer-Reviewed Original ResearchMeSH KeywordsAdultBrainFemaleGene-Environment InteractionHumansLinear ModelsMagnetic Resonance ImagingMaleMemory, Short-TermModels, NeurologicalTwins, DizygoticTwins, MonozygoticYoung AdultConceptsPermutation inferenceIterative optimizationVariance component modelComputation timeComparable biasAccelerated estimationLinear modelSquared errorCluster sizeSpatial statisticsLinear regression modelsFalse positive riskInferenceHeritability estimationEstimationComponent modelModelWealth of toolsMemory datasetsOptimizationSimple methodSmall numberStatisticsACE modelPermutationsShort-interval intracortical inhibition is decreased in restless legs syndrome across a range of severity
Magalhães S, Queiroz de Paiva J, Kaelin-Lang A, Sterr A, Eckeli A, Winkler A, Fernandes do Prado G, Amaro E, Conforto A. Short-interval intracortical inhibition is decreased in restless legs syndrome across a range of severity. Sleep Medicine 2019, 62: 34-42. PMID: 31539846, DOI: 10.1016/j.sleep.2019.03.021.Peer-Reviewed Original ResearchConceptsShort-interval intracortical inhibitionRLS/WEDCortical thicknessIntracortical inhibitionRestless legs syndrome/Willis-Ekbom diseaseRestless legs syndromePrimary motor cortexWillis-Ekbom diseaseCharacteristic curve analysisGray matter thicknessDiscrimination of participantsIdiopathic mildRange of severityLegs syndromeMotor cortexMagnetic resonance imaging dataMild symptomsSurface-based analysisSeverity ScaleCortical areasMagnetic stimulationWhole brainCurve analysisCharacteristic curveSeverity