2024
Topological 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 powerUsabilityResting 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 activityInfantsThe 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 diseaseSexAssociation
2023
Country-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 hemisphere
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 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 psychopathology
2016
Optimal echo time for functional MRI of the infant brain identified in response to noxious stimulation
Goksan S, Hartley C, Hurley S, Winkler A, Duff E, Jenkinson M, Rogers R, Clare S, Slater R. Optimal echo time for functional MRI of the infant brain identified in response to noxious stimulation. Magnetic Resonance In Medicine 2016, 78: 625-631. PMID: 27654315, PMCID: PMC5516146, DOI: 10.1002/mrm.26455.Peer-Reviewed Original Research
2013
Identification of Pleiotropic Genetic Effects on Obesity and Brain Anatomy
Curran JE, McKay DR, Winkler AM, Olvera RL, Carless MA, Dyer TD, Kent JW, Kochunov P, Sprooten E, Knowles EE, Comuzzie AG, Fox PT, Almasy L, Duggirala R, Blangero J, Glahn DC. Identification of Pleiotropic Genetic Effects on Obesity and Brain Anatomy. Human Heredity 2013, 75: 136-143. PMID: 24081229, PMCID: PMC3889074, DOI: 10.1159/000353953.Peer-Reviewed Original ResearchConceptsBody mass indexBrain anatomyEnergy homeostasisDevelopment of obesityLeptin-induced signalingCortical surface areaMass indexGut signalsChronic diseasesGlobal burdenObesitySubcortical volumesBiologic underpinningsReward circuitrySupramarginal gyrusGenetic factorsMexican-American individualsCommon genetic mechanismPleiotropic genetic effectsAnatomyBrainNeuroanatomical variationAmerican individualsCurrent knowledgePleiotropic effects