2025
A whole-brain voxel-based analysis of structural abnormalities in PTSD: An ENIGMA-PGC study
See C, Si S, Baird C, Haswell C, Hussain A, Olff M, Veltman D, Frijling J, van Zuiden M, Koch S, Nawijn L, Wang L, Zhu Y, Li G, Neria Y, Zhu X, Suarez-Jimenez B, Zilcha-Mano S, Lazarov A, Stevens J, Ressler K, Fani N, Jovanovic T, van Rooij S, Kaufman M, Lebois L, Rosso I, Olson E, Baker J, Sponheim S, Disner S, Davenport N, Etkin A, Maron-Katz A, Stein M, Shenton M, Stein D, Ipser J, Koopowitz S, Seedat S, du Plessis S, van den Heuvel L, Lissek S, Berg H, Straube T, Hofman D, Baugh L, Forster G, Simons R, Simons J, Magnotta V, Fercho K, Wang X, Cotton A, O'Leary E, Xie H, Grupe D, Nitschke J, Davidson R, Larson C, deRoon-Cassini T, Tomas C, Fitzgerald J, Blackford J, Olatunji B, Gordon E, May G, Nelson S, Lanius R, Théberge J, Densmore M, Neufeld R, Abdallah C, Averill C, Harpaz-Rotem I, Levy I, Krystal J, Geuze E, van Lutterveld R, Dennis E, Tate D, Cifu D, Walker W, Wilde E, van der Wee N, Vermeiren R, van der Werff S, McLaughlin K, Sambrook K, Peverill M, Radua J, Salminen L, Jahanshad N, Thomopoulos S, James A, Valmaggia L, Thompson P, Morey R, Kempton M. A whole-brain voxel-based analysis of structural abnormalities in PTSD: An ENIGMA-PGC study. European Psychiatry 2025, 68: e97. PMID: 40692500, PMCID: PMC12344465, DOI: 10.1192/j.eurpsy.2025.10062.Peer-Reviewed Original ResearchConceptsPosttraumatic stress disorder patientsPosttraumatic stress disorderAssociated with GM volumeWhole-brain voxel-based analysisVoxel-based morphometryRegional brain volumesGM volumeBrain volumeDepression severityWhole-brainPosttraumatic stress disorder severityWhole-brain statistical mapsCerebellar WM volumeTrauma-exposed controlsStructural neuroimaging scansSuperior frontal gyrusGray matterStatistical mapsVoxel-wise differencesAnalysis of structural abnormalitiesFrontal gyrusTrauma exposureMemory processesStress disorderWhite matter
2024
Relationship between neuroimaging and cognition in frontotemporal dementia: An FDG‐PET and structural MRI study
Cayir S, Volpi T, Toyonaga T, Gallezot J, Yang Y, Sadabad F, Mulnix T, Mecca A, Fesharaki‐Zadeh A, Matuskey D. Relationship between neuroimaging and cognition in frontotemporal dementia: An FDG‐PET and structural MRI study. Journal Of Neuroimaging 2024, 34: 627-634. PMID: 38676301, PMCID: PMC11511789, DOI: 10.1111/jon.13206.Peer-Reviewed Original ResearchMoCA scoresFDG-PETAssociation of cognitionStandardized uptake value ratioMontreal Cognitive AssessmentSignificant positive associationFrontotemporal dementiaPrimary outcome measurePosterior cingulate cortexDecline of cognitive functionYears of ageGM volumeFrontal cortexOutcome measuresCognitive dysfunctionGray matterCognitive AssessmentMoCAAssociated with cognitive dysfunctionFluorodeoxyglucose (FDG)-PETPositive associationMagnetic resonance imagingPartial volume correctionCognitive functionDementiaAmyloid deposition and small vessel disease are associated with cognitive function in older adults with type 2 diabetes
Lesman-Segev O, Golan Shekhtman S, Springer R, Livny A, Lin H, Yuxia O, Zadok M, Ganmore I, Heymann A, Hoffmann C, Domachevsky L, Schnaider Beeri M. Amyloid deposition and small vessel disease are associated with cognitive function in older adults with type 2 diabetes. Scientific Reports 2024, 14: 2741. PMID: 38302529, PMCID: PMC10834442, DOI: 10.1038/s41598-024-53043-x.Peer-Reviewed Original ResearchConceptsNon-demented older adultsCognitive functionLower cognitive functionAmyloid burdenCognitive declineOlder adultsAssociations of small vessel diseaseAssociated with cognitive functionCognitive Decline studyAssociated with lower cognitive functionTreating cognitive declineAssociated with cognitive declineType 2 diabetesGray matterAssociation of amyloidIsrael DiabetesGM volumeAssess cognitionMeasures of small vessel diseaseWhite matter hyperintensitiesAlzheimer's disease biomarkersCognitionDecline studiesSmall vessel diseaseDiabetes-related characteristics
2023
The regional pattern of age-related synaptic loss in the human brain differs from gray matter volume loss: in vivo PET measurement with [11C]UCB-J
Toyonaga T, Khattar N, Wu Y, Lu Y, Naganawa M, Gallezot J, Matuskey D, Mecca A, Pittman B, Dias M, Nabulsi N, Finnema S, Chen M, Arnsten A, Radhakrishnan R, Skosnik P, D’Souza D, Esterlis I, Huang Y, van Dyck C, Carson R. The regional pattern of age-related synaptic loss in the human brain differs from gray matter volume loss: in vivo PET measurement with [11C]UCB-J. European Journal Of Nuclear Medicine And Molecular Imaging 2023, 51: 1012-1022. PMID: 37955791, DOI: 10.1007/s00259-023-06487-8.Peer-Reviewed Original ResearchSynaptic densityAge-related decreaseMagnetic resonance imagingBlood flowAge-related synaptic lossGray matter volume lossSynaptic density lossPositron emission tomography (PET) ligandSynaptic vesicle glycoprotein 2AVivo PET measurementsMedial occipital cortexGray matter volumeAge-related neurodegenerationGray matter regionsCognitive normal subjectsAge-related changesSynaptic lossNerve terminalsWide age rangeOccipital cortexTomography ligandNormal subjectsGM volumeAge-related functional lossesMatter volumeF71. NETWORK OF CO-METHYLATION ASSOCIATED WITH GREY MATTER MATURATION IN HUMAN ADOLESCENCE
Jensen D, Chen J, Turner J, Stephen J, Wang Y, Wilson T, Calhoun V, Liu J. F71. NETWORK OF CO-METHYLATION ASSOCIATED WITH GREY MATTER MATURATION IN HUMAN ADOLESCENCE. European Neuropsychopharmacology 2023, 75: s258-s259. DOI: 10.1016/j.euroneuro.2023.08.455.Peer-Reviewed Original ResearchStructural MRIBrain maturationNeuronal systemsCo-methylation network analysisPeriod of brain maturationAdolescent brain developmentAdolescent brain maturationPhases of neurodevelopmentIndependent component analysisGray matterHuman brain structureGM maturationDNAm changesCo-methylation modulesPrefrontal cortexExecutive functionFrontal poleGM volumeTime pointsSubjects aged 9Brain structuresCpG sitesSynaptic pruningBrain developmentDNA methylation
2022
Distinct dimensions of depression are associated with different brain‐related biomarkers
Soleimani L, Beeri M, Heymann A, Livny A, Lesman‐Segev O, Lin H, Ouyang Y, Ravona‐Springer R. Distinct dimensions of depression are associated with different brain‐related biomarkers. Alzheimer's & Dementia 2022, 18 DOI: 10.1002/alz.064753.Peer-Reviewed Original ResearchSubjective memory complaintsDepression dimensionsGM volumeMemory complaintsStandardized uptake value ratioOlder adultsAssociated with lower GM volumeAssociated with amyloid burdenCognitively normal older adultsDimensions of depressionAssociated with distinct patternsNormal older adultsLower GM volumeConsistent with previous findingsBrain imaging markersAssociated with faster declineGeriatric Depression Scale-15 itemsManagement of depressionNon-T2D samplesVolumes of WMHDysphoric moodExecutive functionWMH volumeIsrael DiabetesTemporal cortexA systematic review and meta-analysis of structural and functional brain alterations in individuals with genetic and clinical high-risk for psychosis and bipolar disorder
Luna L, Radua J, Fortea L, Sugranyes G, Fortea A, Fusar-Poli P, Smith L, Firth J, Shin J, Brunoni A, Husain M, Husian M, Sair H, Mendes W, Uchoa L, Berk M, Maes M, Daskalakis Z, Frangou S, Fornaro M, Vieta E, Stubbs B, Solmi M, Carvalho A. A systematic review and meta-analysis of structural and functional brain alterations in individuals with genetic and clinical high-risk for psychosis and bipolar disorder. Progress In Neuro-Psychopharmacology And Biological Psychiatry 2022, 117: 110540. PMID: 35240226, DOI: 10.1016/j.pnpbp.2022.110540.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingClinical high riskVoxel-based morphometryCHR-PBipolar disorderFrontal gyrusGenetic riskAssociated with decreased GM volumeWhole-brain voxel-based morphometryRight inferior frontal gyrusAssociated with GM reductionsInferior frontal gyrusFunctional brain alterationsSuperior frontal gyrusMeta-analytic reviewGray matterLeft amygdalaGM reductionNeuroimaging studiesRight precuneusBrain alterationsGM volumeRight cerebellumSuperior gyrusGyrus rectus
2021
Amyloid pathology, small‐vessel disease, atrophy, and cognition in normal adults with type 2 diabetes
Lesman‐Segev O, Golan S, Ravona‐Springer R, Livny A, Lin H, Ouyang Y, Zadok M, Hoffmann C, Domachevsky L, Beeri M. Amyloid pathology, small‐vessel disease, atrophy, and cognition in normal adults with type 2 diabetes. Alzheimer's & Dementia 2021, 17 DOI: 10.1002/alz.052616.Peer-Reviewed Original ResearchStandardized uptake value ratioCognitive functionWhite matter hyperintensitiesExecutive functionGM volumeGlobal cognitionOlder adultsAssociated with lower global cognitionAmyloid PETHigh-resolution T1-weightedAssociated with cognitive functionCognitive Decline studyGlobal cognitive functionGray matterStatistical parametric mappingGlobal standardized uptake value ratioNeurobiological substratesNeuropsychological testsEffects of amyloidIsrael DiabetesCognitive outcomesWhite matter hyperintensities volumeCognitive declineIntracranial volumeCognitionThe adhesio interthalamica as a neuroanatomical marker of structural differences in healthy adult population
Miró-Padilla A, Adrián-Ventura J, Costumero V, Palomar-García M, Villar-Rodríguez E, Marin-Marin L, Aguirre N, Bueichekú E. The adhesio interthalamica as a neuroanatomical marker of structural differences in healthy adult population. Brain Structure And Function 2021, 226: 1871-1878. PMID: 34014400, DOI: 10.1007/s00429-021-02297-6.Peer-Reviewed Original ResearchConceptsAdhesio interthalamicaAssociated with lower GM volumeInferior frontal gyrusAI brainAnterior temporal cortexMRI scanning sessionsWhole-brain gray matterLower GM volumeGray matterGroup comparison analysisMidline brain structuresHealthy human adultsFrontal gyrusNeuroanatomical profileNeuroanatomical markersGM volumeTemporal cortexPremotor cortexBrain processesBrain structuresRight thalamusVolumetric differencesScanning sessionNeuroscience researchAnatomical profileDifferential patterns of gray matter volumes and associated gene expression profiles in cognitively-defined Alzheimer’s disease subgroups
Groot C, Grothe MJ, Mukherjee S, Jelistratova I, Jansen I, van Loenhoud AC, Risacher SL, Saykin AJ, Mac Donald C, Mez J, Trittschuh EH, Gryglewski G, Lanzenberger R, Pijnenburg YAL, Barkhof F, Scheltens P, van der Flier WM, Crane PK, Ossenkoppele R. Differential patterns of gray matter volumes and associated gene expression profiles in cognitively-defined Alzheimer’s disease subgroups. NeuroImage Clinical 2021, 30: 102660. PMID: 33895633, PMCID: PMC8186562, DOI: 10.1016/j.nicl.2021.102660.Peer-Reviewed Original ResearchConceptsGray matter volumeRegional GM volumeAd memoryAd executivesGM volumeMatter volumeRegional gray matter volumeVoxel-wise contrastsAlzheimer’s disease subgroupsCognitive domainsCognitive profileNeuropsychological assessmentNeurobiological mechanismsNeurobiological differencesPsychometric frameworkAd languageRelative impairmentTemporal lobeHuman brainAllen Human Brain AtlasDifferential patternsStructural MRILower GM volumeHuman Brain AtlasPosterior areasGender-related neuroanatomical differences in alcohol dependence: findings from the ENIGMA Addiction Working Group
Rossetti MG, Patalay P, Mackey S, Allen NB, Batalla A, Bellani M, Chye Y, Cousijn J, Goudriaan AE, Hester R, Hutchison K, Li CR, Martin-Santos R, Momenan R, Sinha R, Schmaal L, Sjoerds Z, Solowij N, Suo C, van Holst RJ, Veltman DJ, Yücel M, Thompson PM, Conrod P, Garavan H, Brambilla P, Lorenzetti V. Gender-related neuroanatomical differences in alcohol dependence: findings from the ENIGMA Addiction Working Group. NeuroImage Clinical 2021, 30: 102636. PMID: 33857771, PMCID: PMC8065340, DOI: 10.1016/j.nicl.2021.102636.Peer-Reviewed Original ResearchConceptsENIGMA Addiction Working GroupAlcohol dependenceNeuroanatomical differencesAlcohol-dependent menSmaller amygdala volumesGlobal brain measuresGender-related differencesClinical outcomesControl menCorpus callosumAmygdala volumeNeurobiological effectsGM volumeGender differencesSmaller amygdalaStandard drinksBrain regionsIntracranial volumeWorking GroupTotal GMBrain measuresCerebellar GMNeurobiological substratesWomenEducation years
2019
Caudate volume differences among treatment responders, non-responders and controls in children with obsessive–compulsive disorder
Vattimo E, Barros V, Requena G, Sato J, Fatori D, Miguel E, Shavitt R, Hoexter M, Batistuzzo M. Caudate volume differences among treatment responders, non-responders and controls in children with obsessive–compulsive disorder. European Child & Adolescent Psychiatry 2019, 28: 1607-1617. PMID: 30972581, DOI: 10.1007/s00787-019-01320-w.Peer-Reviewed Original ResearchConceptsObsessive-compulsive disorderGroup cognitive behavioral therapyPediatric obsessive-compulsive disorderRight caudateTreatment responseCognitive behavioral therapyCaudate nucleusPossible neural substrateTreatment respondersGM volumeStructural magnetic resonance imagingNeural substratesPrevious evidenceNeurobiological underpinningsOrbitofrontal cortexAge-matched controlsTotal GM volumeMagnetic resonance imagingBrain structuresResonance imagingChildrenRespondersBonferroni correctionCaudatePatients
2018
Gray and white matter differences in adolescents and young adults with prior suicide attempts across bipolar and major depressive disorders
Fan S, Lippard ETC, Sankar A, Wallace A, Johnston JAY, Wang F, Pittman B, Spencer L, Oquendo MA, Blumberg HP. Gray and white matter differences in adolescents and young adults with prior suicide attempts across bipolar and major depressive disorders. Journal Of Affective Disorders 2018, 245: 1089-1097. PMID: 30699851, PMCID: PMC6903411, DOI: 10.1016/j.jad.2018.11.095.Peer-Reviewed Original ResearchConceptsMajor depressive disorderYoung adult suicide attemptersNon-suicide attemptersAdult suicide attemptersBipolar disorderSuicide attemptersFractional anisotropyDepressive disorderGM volumePrevention strategiesBrain circuitryYoung adultsBrain circuitry abnormalitiesAdolescents/young adultsWhite matter fractional anisotropyEarly prevention strategiesAdolescence/young adulthoodMagnetic resonance scanningWhite matter alterationsGray matter volumeSuicide prevention strategiesPrior suicide attemptsWM fractional anisotropyWhole-brain analysisWhite matter differences
2013
Cerebral gray matter volumes and low-frequency fluctuation of BOLD signals in cocaine dependence: Duration of use and gender difference
Ide JS, Zhang S, Hu S, Sinha R, Mazure CM, Li CS. Cerebral gray matter volumes and low-frequency fluctuation of BOLD signals in cocaine dependence: Duration of use and gender difference. Drug And Alcohol Dependence 2013, 134: 51-62. PMID: 24090712, PMCID: PMC3865077, DOI: 10.1016/j.drugalcdep.2013.09.004.Peer-Reviewed Original ResearchConceptsGray matter volumeSuperior frontal gyrusDuration of useGM volumeMatter volumeLow-frequency fluctuationsBOLD signalCingulate cortexCD individualsCocaine useCerebral gray matter volumeAlcohol useMiddle/posterior cingulate cortexRight superior frontal gyrusGM volume lossBilateral superior frontal gyrusHealthy control subjectsRight ventral putamenMagnetic resonance imagingChronic cocaine usePosterior cingulate cortexInfluence of ageEffect of ageControl subjectsVentral putamenChanges in cerebral morphometry and amplitude of low-frequency fluctuations of BOLD signals during healthy aging: correlation with inhibitory control
Hu S, Chao H, Zhang S, Ide JS, Li CS. Changes in cerebral morphometry and amplitude of low-frequency fluctuations of BOLD signals during healthy aging: correlation with inhibitory control. Brain Structure And Function 2013, 219: 983-994. PMID: 23553547, PMCID: PMC3760988, DOI: 10.1007/s00429-013-0548-0.Peer-Reviewed Original ResearchConceptsDorsal lateral prefrontal cortexInferior parietal lobuleSupplementary motor areaFrontal regionsInhibitory controlCingulate cortexStop-signal reaction timeBilateral dorsal lateral prefrontal cortexGM volumeCognitive performance decreasesRight inferior parietal lobuleLow-frequency fluctuationsLateral prefrontal cortexSignal reaction timePosterior cingulate cortexAnterior cingulate cortexBlood oxygenation level-dependent (BOLD) signalLevel-dependent signalFamily-wise errorGray matter volumeRecent alcohol useCognitive challengesParietal lobuleSpontaneous neural activityVoxel-based morphometryGray matter volume correlates of global positive alcohol expectancy in non‐dependent adult drinkers
Ide JS, Zhang S, Hu S, Matuskey D, Bednarski SR, Erdman E, Farr OM, Li C. Gray matter volume correlates of global positive alcohol expectancy in non‐dependent adult drinkers. Addiction Biology 2013, 19: 895-906. PMID: 23461484, PMCID: PMC3681829, DOI: 10.1111/adb.12046.Peer-Reviewed Original ResearchConceptsGM volumeVoxel-based morphometrySuperior frontal gyrusPrecentral gyrusBilateral superior frontal gyrusBilateral dorsolateral prefrontal cortexStructural brain changesNumerous imaging studiesLeft precentral gyrusGray matter volumeDrinking behaviorRight ventral putamenDorsolateral prefrontal cortexNon-dependent drinkersStructural brain correlatesVentral putamenBrain changesFrontal cortexGray matter correlatesMatter volumeNon-dependent drinkingRecent drinkingImaging studiesInfluence drinking behaviorPrefrontal cortexAnatomical Abnormalities in Gray and White Matter of the Cortical Surface in Persons with Schizophrenia
Colibazzi T, Wexler BE, Bansal R, Hao X, Liu J, Sanchez-Peña J, Corcoran C, Lieberman JA, Peterson BS. Anatomical Abnormalities in Gray and White Matter of the Cortical Surface in Persons with Schizophrenia. PLOS ONE 2013, 8: e55783. PMID: 23418459, PMCID: PMC3572102, DOI: 10.1371/journal.pone.0055783.Peer-Reviewed Original ResearchConceptsCortical thicknessWhite matterCortical surface areaGray matterAnatomical abnormalitiesGM volumeWM abnormalitiesContribution of abnormalitiesRegional GM volumeHealthy controlsHigh burdenCingulate gyrusTotal cortical surface areaThinner cortexSuperior frontalAbnormalitiesLocation of abnormalitiesPerisylvian cortexSchizophreniaWM surfaceBrainCortical surfaceBrain anatomyPatientsSerial position task
2011
Gray Matter Volumes in Obsessive-Compulsive Disorder Before and After Fluoxetine or Cognitive-Behavior Therapy: A Randomized Clinical Trial
Hoexter M, de Souza Duran F, D'Alcante C, Dougherty D, Shavitt R, Lopes A, Diniz J, Deckersbach T, Batistuzzo M, Bressan R, Miguel E, Busatto G. Gray Matter Volumes in Obsessive-Compulsive Disorder Before and After Fluoxetine or Cognitive-Behavior Therapy: A Randomized Clinical Trial. Neuropsychopharmacology 2011, 37: 734-745. PMID: 22030709, PMCID: PMC3260985, DOI: 10.1038/npp.2011.250.Peer-Reviewed Original ResearchConceptsCognitive behavior therapyObsessive-compulsive disorderGray matter volumeLeft putamenClinical trialsOCD patientsGM volumeMatter volumeSignificant GM volume changesPathophysiology of OCDFluoxetine-treated patientsGM volume abnormalitiesMatched-healthy controlsTreatment-naive patientsFirst-line treatmentStructural brain abnormalitiesGM volume changesCBT-treated patientsGroup cognitive behavior therapySmaller GM volumeRegional brain volumesRegional brain morphologyAnterior cingulate cortexStructural magnetic resonanceRegional gray matter volume
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