2024
The effects of genetic and modifiable risk factors on brain regions vulnerable to ageing and disease
Manuello J, Min J, McCarthy P, Alfaro-Almagro F, Lee S, Smith S, Elliott L, Winkler A, Douaud G. The effects of genetic and modifiable risk factors on brain regions vulnerable to ageing and disease. Nature Communications 2024, 15: 2576. PMID: 38538590, PMCID: PMC10973379, DOI: 10.1038/s41467-024-46344-2.Peer-Reviewed Original ResearchConceptsModifiable risk factorsRisk factorsBrain networksUK Biobank participantsTraffic-related air pollutionAlcohol intake frequencyBrain regionsGenome-wide associationBiobank participantsHigher-order brain regionsIntake frequencyXg blood groupEffects of ageCardiovascular deathGenetic influencesUnique contributionsNitrogen dioxideSchizophreniaBrainAgeAir pollutionAlzheimer's diseaseParkinson's diseaseSexAssociationCurrent and Future Approaches to Pediatric Anxiety Disorder Treatment
Zugman A, Winkler A, Qamar P, Pine D. Current and Future Approaches to Pediatric Anxiety Disorder Treatment. American Journal Of Psychiatry 2024, 181: 189-200. PMID: 38425255, PMCID: PMC11256210, DOI: 10.1176/appi.ajp.20231037.Peer-Reviewed Original Research
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 errorGyrusMapping Lesion-Related Epilepsy to a Human Brain Network
Schaper F, Nordberg J, Cohen A, Lin C, Hsu J, Horn A, Ferguson M, Siddiqi S, Drew W, Soussand L, Winkler A, Simó M, Bruna J, Rheims S, Guenot M, Bucci M, Nummenmaa L, Staals J, Colon A, Ackermans L, Bubrick E, Peters J, Wu O, Rost N, Grafman J, Blumenfeld H, Temel Y, Rouhl R, Joutsa J, Fox M. Mapping Lesion-Related Epilepsy to a Human Brain Network. JAMA Neurology 2023, 80: 891-902. PMID: 37399040, PMCID: PMC10318550, DOI: 10.1001/jamaneurol.2023.1988.Peer-Reviewed Original ResearchConceptsRisk of epilepsyLesion locationBrain regionsPoststroke epilepsyControl patientsSeizure controlBrain lesionsIndependent cohortBrain networksLesion typeBrain stimulation sitesLesion network mappingLesion-related epilepsyImproved seizure controlDrug-resistant epilepsyCase-control studyBrain stimulation therapyHuman brain networksSpecific brain regionsDifferent lesion typesSpecific brain networksBasal gangliaVascular territoriesStimulation therapyMAIN OUTCOMEMultimodal 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 ResearchConceptsDorsal 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 groupCountry-level gender inequality is associated with structural differences in the brains of women and men
Zugman A, Alliende L, Medel V, Bethlehem R, Seidlitz J, Ringlein G, Arango C, Arnatkevičiūtė A, Asmal L, Bellgrove M, Benegal V, Bernardo M, Billeke P, Bosch-Bayard J, Bressan R, Busatto G, Castro M, Chaim-Avancini T, Compte A, Costanzi M, Czepielewski L, Dazzan P, de la Fuente-Sandoval C, Di Forti M, Díaz-Caneja C, Díaz-Zuluaga A, Du Plessis S, Duran F, Fittipaldi S, Fornito A, Freimer N, Gadelha A, Gama C, Garani R, Garcia-Rizo C, Campo C, Gonzalez-Valderrama A, Guinjoan S, Holla B, Ibañez A, Ivanovic D, Jackowski A, Leon-Ortiz P, Lochner C, López-Jaramillo C, Luckhoff H, Massuda R, McGuire P, Miyata J, Mizrahi R, Murray R, Ozerdem A, Pan P, Parellada M, Phahladira L, Ramirez-Mahaluf J, Reckziegel R, Marques T, Reyes-Madrigal F, Roos A, Rosa P, Salum G, Scheffler F, Schumann G, Serpa M, Stein D, Tepper A, Tiego J, Ueno T, Undurraga J, Undurraga E, Valdes-Sosa P, Valli I, Villarreal M, Winton-Brown T, Yalin N, Zamorano F, Zanetti M, cVEDA, Winkler A, Pine D, Evans-Lacko S, Crossley N, Murthy P, Chakrabarti A, Basu D, Subodh B, Singh L, Singh R, Kalyanram K, Kartik K, Kumaran K, Krishnaveni G, Kuriyan R, Kurpad S, Barker G, Bharath R, Desrivieres S, Purushottam M, Orfanos D, Sharma E, Hickman M, Heron J, Toledano M, Vaidya N. Country-level gender inequality is associated with structural differences in the brains of women and men. Proceedings Of The National Academy Of Sciences Of The United States Of America 2023, 120: e2218782120. PMID: 37155867, PMCID: PMC10193926, DOI: 10.1073/pnas.2218782120.Peer-Reviewed Original ResearchConceptsWorse outcomesCaudal anterior cingulateRight caudal anterior cingulateRight medial orbitofrontalAdult healthy menBrains of womenMental health problemsLateral occipital cortexHealthy menRegional cortexHigh riskOccipital cortexCortical thicknessCountry-level gender inequalityMedial orbitofrontalMRI scansThinner cortexAnterior cingulateHealth problemsBrain structuresWomen's brainsWomenBrainCortexRight hemisphereCognitive, Behavioral, and Circadian Rhythm Interventions for Insomnia Alter Emotional Brain Responses
Leerssen J, Aghajani M, Bresser T, Rösler L, Winkler A, Foster-Dingley J, Van Someren E. Cognitive, Behavioral, and Circadian Rhythm Interventions for Insomnia Alter Emotional Brain Responses. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2023, 9: 60-69. PMID: 36958474, DOI: 10.1016/j.bpsc.2023.03.007.Peer-Reviewed Original ResearchConceptsAmygdala responseSleep interventionsEmotion-related brain activityFunctional magnetic resonance imaging studyEmotional brain responsesInsomnia treatmentFunctional magnetic resonance imagingCognitive behavioral therapyMagnetic resonance imaging studyEmotional stimuliResonance imaging studyBrain mechanismsIndividual differencesPrevention of depressionCircadian interventionsBrain responsesEmotional stabilityBehavioral therapyAnxiety severityBrain activityBrain responsivenessLeft insulaInsomnia disorderHigh riskInsomnia symptomsStructural 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 ResearchConceptsMagnetic 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 aspectsTranslating Big Data to Clinical Outcomes in Anxiety: Potential for Multimodal Integration
Khosravi P, Zugman A, Amelio P, Winkler A, Pine D. Translating Big Data to Clinical Outcomes in Anxiety: Potential for Multimodal Integration. Current Psychiatry Reports 2022, 24: 841-851. PMID: 36469202, PMCID: PMC9931491, DOI: 10.1007/s11920-022-01385-6.Peer-Reviewed Original ResearchConceptsAnxiety disordersError Related NegativityPediatric anxiety disordersMost anxiety disordersDisorder treatment outcomesAnxious individualsNeural correlatesMultimodal integrationNeural markersGroup differencesResponse/outcomesAnxietyMultimodal dataCorrelatesTreatment responseTreatment outcomesDiverse relationsDisordersReviewThis reviewNegativityRecent FindingsRecent literatureRisk markersAdulthoodSuch workOutcomesShared 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 ResearchConceptsPhysical 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 psychopathologyStructural Brain Correlates of Childhood Inhibited Temperament: An ENIGMA-Anxiety Mega-analysis
Bas-Hoogendam J, Bernstein R, Benson B, Buss K, Gunther K, Pérez-Edgar K, Salum G, Jackowski A, Bressan R, Zugman A, Degnan K, Filippi C, Fox N, Henderson H, Tang A, Zeytinoglu S, Harrewijn A, Hillegers M, White T, van IJzendoorn M, Schwartz C, Felicione J, DeYoung K, Shackman A, Smith J, Tillman R, van den Berg Y, Cillessen A, Roelofs K, Tyborowska A, Hill S, Battaglia M, Tettamanti M, Dougherty L, Jin J, Klein D, Leung H, Avery S, Blackford J, Clauss J, Hayden E, Liu P, Vandermeer M, Goldsmith H, Planalp E, Nichols T, Thompson P, Westenberg P, van der Wee N, Groenewold N, Stein D, Winkler A, Pine D, Group E. Structural Brain Correlates of Childhood Inhibited Temperament: An ENIGMA-Anxiety Mega-analysis. Journal Of The American Academy Of Child & Adolescent Psychiatry 2022, 61: 1182-1188. PMID: 36038199, PMCID: PMC9434711, DOI: 10.1016/j.jaac.2022.04.023.Peer-Reviewed Original ResearchConceptsStructural brain correlatesSelf-report questionnairesTendency of individualsInhibited temperamentBehavioral inhibitionBrain correlatesUnfamiliar peopleDirect behavioral observationsEmotional tendencyTemperamentTemperament classificationEarly childhoodBehavioral observationsUnexpected eventsRetrospective levelsIndividualsUnfamiliarCorrelatesCaregiversTendencyRelateFirst yearChildhoodInfancyLifeComputational modeling of threat learning reveals links with anxiety and neuroanatomy in humans
Abend R, Burk D, Ruiz S, Gold A, Napoli J, Britton J, Michalska K, Shechner T, Winkler A, Leibenluft E, Pine D, Averbeck B. Computational modeling of threat learning reveals links with anxiety and neuroanatomy in humans. ELife 2022, 11: e66169. PMID: 35473766, PMCID: PMC9197395, DOI: 10.7554/elife.66169.Peer-Reviewed Original ResearchConceptsThreat learningAnxiety severitySafety learningNeuroanatomical substratesGreater anxiety severitySkin conductance dataThreat conditioningThreat extinctionThreat generalizationGray matter volumeSafe stimuliAssociative learningComputational mechanismsAnxiety symptomsAnxiety disordersInfluential theoriesSlower extinctionComputational modelLearningWhole brain anatomyAnxietyComputational modelingStructural imagingStimuliTaskSARS-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 ResearchConceptsSARS-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 ResearchConceptsChronic 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 ResearchThe 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 ResearchConceptsMagnetic 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 studiesCortical 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 individualsRecent advances in understanding neural correlates of anxiety disorders in children and adolescents
Zugman A, Winkler A, Pine D. Recent advances in understanding neural correlates of anxiety disorders in children and adolescents. Current Opinion In Psychiatry 2021, 34: 617-623. PMID: 34475352, PMCID: PMC8490291, DOI: 10.1097/yco.0000000000000743.Peer-Reviewed Original ResearchConceptsAnxiety disordersBrain regionsMedial prefrontal cortexNeural indicesLow-level threatNeural correlatesSmall effect sizesPrefrontal cortexNeural circuitryBrain circuitryCircuitry dysfunctionBrain connectivityCommon psychiatric diagnosesFearEffect sizeMost mental illnessesStria terminalisBed nucleusAnxietyAdolescentsPsychiatric diagnosisMental illnessRecent workDisordersChildren