2025
Infants’ Resting-State Functional Connectivity and Event-Related Potentials: A Multimodal Approach to Investigating the Neural Basis of Infant Novelty Detection
Kanel D, Morales S, Altman K, Richards J, Winkler A, Pine D, Fox N, Filippi C. Infants’ Resting-State Functional Connectivity and Event-Related Potentials: A Multimodal Approach to Investigating the Neural Basis of Infant Novelty Detection. Developmental Psychology 2025, 61: 1397-1411. PMID: 39760730, DOI: 10.1037/dev0001892.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingEvent-related potentialsEvent-related potential dataResting-state functional connectivityMismatch responsesFunctional connectivityRegions-of-interestRs-FCThree-stimulus auditory oddball taskResting-state functional magnetic resonance imagingFunctional magnetic resonance imaging dataSuperior parietal cortexPosterior cingulate cortexVentral attention networkSuperior parietal lobuleBilateral auditory corticesAuditory oddball taskNovelty detectionNovelty processingCingulate cortexNeural basisParietal lobuleNovel stimuliP3 responseSomatomotor networkBrain functional connectivity and anatomical features as predictors of cognitive behavioral therapy outcome for anxiety in youths
Zugman A, Ringlein G, Finn E, Lewis K, Berman E, Silverman W, Lebowitz E, Pine D, Winkler A. Brain functional connectivity and anatomical features as predictors of cognitive behavioral therapy outcome for anxiety in youths. Psychological Medicine 2025, 55: e91. PMID: 40125734, PMCID: PMC12080668, DOI: 10.1017/s0033291724003131.Peer-Reviewed Original ResearchConceptsCognitive-behavioral therapyConnectome predictive modelingWeeks of cognitive-behavioral therapyCognitive behavioural therapy outcomeResting-state functional magnetic resonance imagingFunctional magnetic resonance imagingBehaviour therapy outcomePediatric anxiety disordersBaseline anxiety severityBrain functional connectivityAnxiety disordersAnxiety severityPediatric anxietyAnxiety diagnosesAnxiety symptomsFunctional connectivityTherapy outcomeAnxietyFirst-line treatmentTreatment responseTreatment outcomesMagnetic resonance imagingPredictive of responseFirst-lineClinical outcomesNeural Rewiring of Resilience: The Effects of Combat Deployment on Functional Network Architecture
Yair N, Zalmenson T, Azriel O, Shamai-Leshem D, Alon Y, Tik N, Tatsa-Laur L, Ben-Yehuda A, Pine D, Winkler A, Tavor I, Bar-Haim Y. Neural Rewiring of Resilience: The Effects of Combat Deployment on Functional Network Architecture. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2025 PMID: 39824285, DOI: 10.1016/j.bpsc.2024.12.017.Peer-Reviewed Original ResearchFunctional magnetic resonance imaging studyBetween-network functional connectivityTrauma-related psychopathologyEffects of combat deploymentBetween-network connectivityVentral attention networkBrain functional architectureFunctional brain networksMagnetic resonance imaging studiesFunctional network architectureCognitive controlCombat exposureNeural basisBrain networksCombat deploymentFunctional connectivityResilient individualsGroup of university studentsResilient participantsAttention networkNeural adaptationSignificant groupComparison groupLongitudinal studyFunctional architecturePattern integration and differentiation: Dual process model of episodic memory
Evensmoen H, Rimol L, Rise H, Hansen T, Nili H, Winkler A, Håberg A. Pattern integration and differentiation: Dual process model of episodic memory. Imaging Neuroscience 2025, 3: imag_a_00433. DOI: 10.1162/imag_a_00433.Peer-Reviewed Original ResearchEpisodic memoryBrain regionsAssociated with successful memoryModels of episodic memoryHuman episodic memoryDual-process modelActivity patternsSubsequent memoryAnterior hippocampusPosterior hippocampusSuccessful memoryEpisodic orderParticipation episodesObject presentationMemoryHippocampusTemporal compressionBrainEpisodesParticipantsPattern integrityFMRIItems
2024
Structure-function coupling in network connectivity and associations with negative affectivity in a group of transdiagnostic adolescents
Kanel D, Zugman A, Stohr G, Scheinberg B, Cardinale E, Winkler A, Kircanski K, Fox N, Brotman M, Linke J, Pine D. Structure-function coupling in network connectivity and associations with negative affectivity in a group of transdiagnostic adolescents. Journal Of Mood And Anxiety Disorders 2024, 9: 100094. PMID: 39758557, PMCID: PMC11694614, DOI: 10.1016/j.xjmad.2024.100094.Peer-Reviewed Original ResearchStructure-function couplingNegative affectFronto-parietal control networkMeasures of psychopathologyDevelopment of psychopathologyResting-state functional MRIDomain-specific factorsTreatment-seeking youthGroup of adolescentsMultimodal MRI methodsTransdiagnostic groupsFunctional network reorganizationBifactor modelPsychopathologyFunctional MRIFunctional connectivityBrain connectivityStudy of brain connectivityPsychological outcomesFunctional connectivity matricesControl networkNetwork reorganizationAffectAdolescentsAnxietyLongitudinal development of resting-state functional connectivity in adolescents with and without internalizing disorders
Roelofs E, Bas-Hoogendam J, Winkler A, van der Wee N, Vermeiren R. Longitudinal development of resting-state functional connectivity in adolescents with and without internalizing disorders. Neuroscience Applied 2024, 3: 104090. PMID: 39634556, PMCID: PMC11615185, DOI: 10.1016/j.nsa.2024.104090.Peer-Reviewed Original ResearchRight laterobasal amygdalaLaterobasal amygdalaWhole-brain networksAmygdala subregionsFunctional connectivityCentromedial amygdalaSymptom changeFrontal poleInternalizing disordersPostcentral gyrusResting-state functional magnetic resonance imagingResting-state functional connectivityFunctional magnetic resonance imagingICA-derived networksClinically representative sampleFC developmentNonspecific treatment effectsRs-fMRI scansIndependent component analysisResting-state networksLongitudinal developmentCare-as-usualComorbid anxietyNeuroimaging researchBilateral seedsTopological cluster statistic (TCS): Toward structural connectivity–guided fMRI cluster enhancement
L. S, Seguin C, Winkler A, Noble S, Zalesky A. Topological cluster statistic (TCS): Toward structural connectivity–guided fMRI cluster enhancement. Network Neuroscience 2024, 8: 902-925. PMID: 39355436, PMCID: PMC11424043, DOI: 10.1162/netn_a_00375.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingAbstract Functional magnetic resonance imagingBrain activityAnatomical connectivity informationMedium-sized effectsCluster-based inferenceMultimodal informationConnectivity informationAnatomical underpinningsActive inferenceNeuroimaging analysisAnatomical networksDiffusion tractographyOptimal inferenceInsufficient statistical powerWidespread activationMagnetic resonance imagingFunctional imagingConventional approachesDetect local changesInferenceBrainResonance imagingStatistical powerUsabilityTask–Rest Reconfiguration Efficiency of the Reward Network Across Adolescence and Its Association With Early Life Stress and Depressive Symptoms
Lee Y, Yuan J, Winkler A, Kircanski K, Pine D, Gotlib I. Task–Rest Reconfiguration Efficiency of the Reward Network Across Adolescence and Its Association With Early Life Stress and Depressive Symptoms. Journal Of The American Academy Of Child & Adolescent Psychiatry 2024, 64: 290-300. PMID: 38878818, PMCID: PMC11638404, DOI: 10.1016/j.jaac.2024.04.018.Peer-Reviewed Original ResearchEarly life stressReward networkDepressive symptomsLife stressReconfiguration efficiencyFunctional connectivityExperiences of early life stressExposure to early life stressEffects of early life stressTask-based fMRI scansHigher levels of depressive symptomsLevels of depressive symptomsSevere early life stressReward processingAge-related associationsFMRI scanningAdolescent depressionCommunity sampleTask demandsResting-stateAsymptomatic youthOlder adolescentsEffects of ageRewardBrain statesResting state electroencephalographic brain activity in neonates can predict age and is indicative of neurodevelopmental outcome
Ansari A, Pillay K, Arasteh E, Dereymaeker A, Mellado G, Jansen K, Winkler A, Naulaers G, Bhatt A, Van Huffel S, Hartley C, De Vos M, Slater R, Baxter L. Resting state electroencephalographic brain activity in neonates can predict age and is indicative of neurodevelopmental outcome. Clinical Neurophysiology 2024, 163: 226-235. PMID: 38797002, PMCID: PMC11250083, DOI: 10.1016/j.clinph.2024.05.002.Peer-Reviewed Original ResearchNeurodevelopmental outcomesResting state EEG dataBayley Scales of InfantAbnormal outcome groupsClinical sitesResting-state EEG activityPostmenstrual agePreterm neonatesOutcome groupNeonatesEEG activityBrain age gapElectroencephalographic brain activityBrain agingWeeksEEG dataGap magnitudeOutcomesBrainAgeIndependent datasetsPretermBSIDBrain activityInfantsNeural Correlates of Novelty-Evoked Distress in 4-Month-Old Infants: A Synthetic Cohort Study
Filippi C, Winkler A, Kanel D, Elison J, Hardiman H, Sylvester C, Pine D, Fox N. Neural Correlates of Novelty-Evoked Distress in 4-Month-Old Infants: A Synthetic Cohort Study. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2024, 9: 905-914. PMID: 38641209, PMCID: PMC11381178, DOI: 10.1016/j.bpsc.2024.03.008.Peer-Reviewed Original ResearchBrain-behavior associationsParent-report measuresInfant temperamentNetwork pairsDorsal attention network connectivityAssessment of infant temperamentParent-reported temperamentAttention network connectivityControl network connectivitySocial anxietyFMRI studyNeural correlatesNeural basisFunctional connectivityParent reportNeuroimaging dataTemperamentAttention-controlComposite scoreDistressNetwork connectivityObservational assessmentNegative associationBehavior estimationDorsalThe 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 ResearchBrain-based classification of youth with anxiety disorders: transdiagnostic examinations within the ENIGMA-Anxiety database using machine learning
Bruin W, Zhutovsky P, van Wingen G, Bas-Hoogendam J, Groenewold N, Hilbert K, Winkler A, Zugman A, Agosta F, Åhs F, Andreescu C, Antonacci C, Asami T, Assaf M, Barber J, Bauer J, Bavdekar S, Beesdo-Baum K, Benedetti F, Bernstein R, Björkstrand J, Blair R, Blair K, Blanco-Hinojo L, Böhnlein J, Brambilla P, Bressan R, Breuer F, Cano M, Canu E, Cardinale E, Cardoner N, Cividini C, Cremers H, Dannlowski U, Diefenbach G, Domschke K, Doruyter A, Dresler T, Erhardt A, Filippi M, Fonzo G, Freitag G, Furmark T, Ge T, Gerber A, Gosnell S, Grabe H, Grotegerd D, Gur R, Gur R, Hamm A, Han L, Harper J, Harrewijn A, Heeren A, Hofmann D, Jackowski A, Jahanshad N, Jett L, Kaczkurkin A, Khosravi P, Kingsley E, Kircher T, Kostic M, Larsen B, Lee S, Leehr E, Leibenluft E, Lochner C, Lui S, Maggioni E, Manfro G, Månsson K, Marino C, Meeten F, Milrod B, Jovanovic A, Mwangi B, Myers M, Neufang S, Nielsen J, Ohrmann P, Ottaviani C, Paulus M, Perino M, Phan K, Poletti S, Porta-Casteràs D, Pujol J, Reinecke A, Ringlein G, Rjabtsenkov P, Roelofs K, Salas R, Salum G, Satterthwaite T, Schrammen E, Sindermann L, Smoller J, Soares J, Stark R, Stein F, Straube T, Straube B, Strawn J, Suarez-Jimenez B, Sylvester C, Talati A, Thomopoulos S, Tükel R, van Nieuwenhuizen H, Werwath K, Wittfeld K, Wright B, Wu M, Yang Y, Zilverstand A, Zwanzger P, Blackford J, Avery S, Clauss J, Lueken U, Thompson P, Pine D, Stein D, van der Wee N, Veltman D, Aghajani M. Brain-based classification of youth with anxiety disorders: transdiagnostic examinations within the ENIGMA-Anxiety database using machine learning. Nature Mental Health 2024, 2: 104-118. DOI: 10.1038/s44220-023-00173-2.Peer-Reviewed Original Research
2023
Widespread, depth‐dependent cortical microstructure alterations in pediatric focal epilepsy
Casella C, Vecchiato K, Cromb D, Guo Y, Winkler A, Hughes E, Dillon L, Green E, Colford K, Egloff A, Siddiqui A, Price A, Grande L, Wood T, Malik S, Teixeira R, Carmichael D, O'Muircheartaigh J. Widespread, depth‐dependent cortical microstructure alterations in pediatric focal epilepsy. Epilepsia 2023, 65: 739-752. PMID: 38088235, PMCID: PMC7616339, DOI: 10.1111/epi.17861.Peer-Reviewed Original ResearchDrug-resistant focal epilepsyFocal epilepsyMagnetic resonance imagingTreatment-related side effectsMRI-positive patientsMRI-negative patientsDisease severity measuresWidespread cortical areasPediatric focal epilepsyQuantitative magnetic resonance imagingPeriod of onsetTissue microstructural changesRadiological abnormalitiesUnderlying pathophysiologyHealthy controlsIndividual patientsCortical areasDisease processSide effectsPatientsFocal pathologyEpilepsyNeurobiological alterationsDisease severityResonance imagingA 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 OUTCOME618 Widespread, depth-dependent microstructural alterations in the cortex of children with drug-resistant focal epilepsy: a quantitative T1 and T2 mapping study
Casella C, Vecchiato K, Cromb D, Guo Y, Winkler A, Hughes E, Dillon L, Green E, Colford K, Egloff A, Siddiqui A, Price A, Grande L, Wood T, Malik S, Texeira R, Carmichael D, O’Muircheartaigh J. 618 Widespread, depth-dependent microstructural alterations in the cortex of children with drug-resistant focal epilepsy: a quantitative T1 and T2 mapping study. 2023, a196-a197. DOI: 10.1136/archdischild-2023-rcpch.310.Peer-Reviewed Original ResearchMultimodal 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 hemisphere39. Subcortical Brain Volumes in Social Anxiety Disorder: An Enigma-Anxiety International Mega-Analysis of 37 Samples
Bas-Hoogendam J, Groenewold N, Amod A, Laansma M, van Velzen L, Aghajani M, Hilbert K, Ching C, Thomopoulos S, members E, Lueken U, Veltman D, Winkler A, Jahanshad N, Pine D, Thompson P, Stein D, van der Wee N. 39. Subcortical Brain Volumes in Social Anxiety Disorder: An Enigma-Anxiety International Mega-Analysis of 37 Samples. Biological Psychiatry 2023, 93: s85-s86. DOI: 10.1016/j.biopsych.2023.02.222.Peer-Reviewed Original Research
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