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 diseaseSexAssociation
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 resonance
2016
Heterochronicity of white matter development and aging explains regional patient control differences in schizophrenia
Kochunov P, Ganjgahi H, Winkler A, Kelly S, Shukla D, Du X, Jahanshad N, Rowland L, Sampath H, Patel B, O'Donnell P, Xie Z, Paciga S, Schubert C, Chen J, Zhang G, Thompson P, Nichols T, Hong L. Heterochronicity of white matter development and aging explains regional patient control differences in schizophrenia. Human Brain Mapping 2016, 37: 4673-4688. PMID: 27477775, PMCID: PMC5118078, DOI: 10.1002/hbm.23336.Peer-Reviewed Original ResearchConceptsAge-related declineWhite matterSchizophrenia patientsFractional anisotropyFA valuesDiagnosis interactionFaster age-related declinePathophysiology of schizophreniaHum Brain MappEffect of diagnosisLower fractional anisotropyPatient-control differencesT Siemens MRI scannerBrain white matterClinical burdenRegional FA valuesPatientsAbnormal rateBrain connectivityTract developmentAdolescent maturationSpecific tractsRegional reductionDiagnosisSchizophrenia
2015
Perfusion shift from white to gray matter may account for processing speed deficits in schizophrenia
Wright S, Hong L, Winkler A, Chiappelli J, Nugent K, Muellerklein F, Du X, Rowland L, Wang D, Kochunov P. Perfusion shift from white to gray matter may account for processing speed deficits in schizophrenia. Human Brain Mapping 2015, 36: 3793-3804. PMID: 26108347, PMCID: PMC4714540, DOI: 10.1002/hbm.22878.Peer-Reviewed Original ResearchConceptsWM integrityDiffusion tensor imagingArterial spin labelingPatient-control differencesPS deficitsReduced WM integrityPerfusion shiftCerebral information processingLower WM integrityCerebral WMNeurophysiological alterationsInformation processing speedSchizophrenia patientsGray matterCognitive deficitsTensor imagingBlood perfusionSchizophreniaDeficitsFurther examinationSpin labelingProcessing speedPatientsCohortPerfusion