2024
Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling
Wang S, Wang Y, Xu F, Shen L, Zhao Y, Initiative A. Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling. Medical Image Analysis 2024, 99: 103309. PMID: 39243600, PMCID: PMC11609031, DOI: 10.1016/j.media.2024.103309.Peer-Reviewed Original ResearchBrain structural connectivityBrain connectivityStructural connectivityBrain connectivity matricesDiffusion MRITopological propertiesGenerative network modelsWhite matter fiber tractsAttributes of nodesConnectivity estimatesBrain networksGroup-level connectivityConnectivity matrixBrain regionsConnectivity architectureKnowledge of nodesAlzheimer's diseaseLatent space modelAnatomical informationGroup-level effectsImprove biological interpretationExtensive simulationsNetwork modelABC modelTau propagation in the brain olfactory circuits is associated with smell perception changes in aging
Diez I, Ortiz-Terán L, Ng T, Albers M, Marshall G, Orwig W, Kim C, Bueichekú E, Montal V, Olofsson J, Vannini P, El Fahkri G, Sperling R, Johnson K, Jacobs H, Sepulcre J. Tau propagation in the brain olfactory circuits is associated with smell perception changes in aging. Nature Communications 2024, 15: 4809. PMID: 38844444, PMCID: PMC11156945, DOI: 10.1038/s41467-024-48462-3.Peer-Reviewed Original ResearchConceptsOlfactory systemMedial temporal lobe structuresCognitively normal older adultsOlfactory pathwayOdor identification deficitsNormal older adultsTemporal lobe structuresTau accumulationAlzheimer's diseaseIdentification deficitsGenetic vulnerabilityLobe structuresCortical systemsOlfactory circuitsAssociated with tau accumulationIdentification measuresCortical neurodegenerationOlder adultsPiB-PETTau propagationTau progressionPathological aggregationGenetic backgroundDiffusion MRIPredictive powerSearching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities
Fu Z, Batta I, Wu L, Abrol A, Agcaoglu O, Salman M, Du Y, Iraji A, Shultz S, Sui J, Calhoun V. Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities. NeuroImage 2024, 292: 120617. PMID: 38636639, PMCID: PMC11416721, DOI: 10.1016/j.neuroimage.2024.120617.Peer-Reviewed Original ResearchConceptsFunctional MRIStructural MRIResting-state scanSpatial similarity analysisMental health researchBrain markersDiffusion MRIAge differencesBrain featuresNeuromarkersBrain disordersYoung adult cohortBrain developmentWell-replicatedHuman brainBrainDiffusion MRI dataData-driven analysisDisordersSimilarity analysisAge cohortsGeneralizabilityPopulation-based researchAdult cohortAge-specific adaptation
2023
Dynamic phase-locking states and personality in sub-acute mild traumatic brain injury: An exploratory study
van der Horn H, de Koning M, Visser K, Kok M, Spikman J, Scheenen M, Renken R, Calhoun V, Vergara V, Cabral J, Mayer A, van der Naalt J. Dynamic phase-locking states and personality in sub-acute mild traumatic brain injury: An exploratory study. PLOS ONE 2023, 18: e0295984. PMID: 38100479, PMCID: PMC10723684, DOI: 10.1371/journal.pone.0295984.Peer-Reviewed Original ResearchConceptsMild traumatic brain injuryDynamic functional network connectivityTraumatic brain injurySymptom severityEmotional instabilityAssociated with lower symptom severityMild traumatic brain injury patientsHead Injury Symptom ChecklistHealthy controlsPatients relative to HCMaladaptive personality characteristicsDefault mode networkTract-based spatial statisticsLower symptom severityBrain injuryPosterior corona radiataFunctional network connectivityPost-injuryMonths post-injuryLow extraversionHigh neuroticismSuperordinate factorDiffusion MRINeural underpinningsPersonality dimensionsNeuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium
Zhu X, Kim Y, Ravid O, He X, Suarez-Jimenez B, Zilcha-Mano S, Lazarov A, Lee S, Abdallah C, Angstadt M, Averill C, Baird C, Baugh L, Blackford J, Bomyea J, Bruce S, Bryant R, Cao Z, Choi K, Cisler J, Cotton A, Daniels J, Davenport N, Davidson R, DeBellis M, Dennis E, Densmore M, deRoon-Cassini T, Disner S, Hage W, Etkin A, Fani N, Fercho K, Fitzgerald J, Forster G, Frijling J, Geuze E, Gonenc A, Gordon E, Gruber S, Grupe D, Guenette J, Haswell C, Herringa R, Herzog J, Hofmann D, Hosseini B, Hudson A, Huggins A, Ipser J, Jahanshad N, Jia-Richards M, Jovanovic T, Kaufman M, Kennis M, King A, Kinzel P, Koch S, Koerte I, Koopowitz S, Korgaonkar M, Krystal J, Lanius R, Larson C, Lebois L, Li G, Liberzon I, Lu G, Luo Y, Magnotta V, Manthey A, Maron-Katz A, May G, McLaughlin K, Mueller S, Nawijn L, Nelson S, Neufeld R, Nitschke J, O'Leary E, Olatunji B, Olff M, Peverill M, Phan K, Qi R, Quidé Y, Rektor I, Ressler K, Riha P, Ross M, Rosso I, Salminen L, Sambrook K, Schmahl C, Shenton M, Sheridan M, Shih C, Sicorello M, Sierk A, Simmons A, Simons R, Simons J, Sponheim S, Stein M, Stein D, Stevens J, Straube T, Sun D, Théberge J, Thompson P, Thomopoulos S, van der Wee N, van der Werff S, van Erp T, van Rooij S, van Zuiden M, Varkevisser T, Veltman D, Vermeiren R, Walter H, Wang L, Wang X, Weis C, Winternitz S, Xie H, Zhu Y, Wall M, Neria Y, Morey R. Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium. NeuroImage 2023, 283: 120412. PMID: 37858907, PMCID: PMC10842116, DOI: 10.1016/j.neuroimage.2023.120412.Peer-Reviewed Original Research
2019
Altered white matter microstructural organization in posttraumatic stress disorder across 3047 adults: results from the PGC-ENIGMA PTSD consortium
Dennis EL, Disner SG, Fani N, Salminen LE, Logue M, Clarke EK, Haswell CC, Averill CL, Baugh LA, Bomyea J, Bruce SE, Cha J, Choi K, Davenport ND, Densmore M, du Plessis S, Forster GL, Frijling JL, Gonenc A, Gruber S, Grupe DW, Guenette JP, Hayes J, Hofmann D, Ipser J, Jovanovic T, Kelly S, Kennis M, Kinzel P, Koch SBJ, Koerte I, Koopowitz S, Korgaonkar M, Krystal J, Lebois LAM, Li G, Magnotta VA, Manthey A, May GJ, Menefee DS, Nawijn L, Nelson SM, Neufeld RWJ, Nitschke JB, O’Doherty D, Peverill M, Ressler KJ, Roos A, Sheridan MA, Sierk A, Simmons A, Simons RM, Simons JS, Stevens J, Suarez-Jimenez B, Sullivan DR, Théberge J, Tran JK, van den Heuvel L, van der Werff SJA, van Rooij SJH, van Zuiden M, Velez C, Verfaellie M, Vermeiren RRJM, Wade BSC, Wager T, Walter H, Winternitz S, Wolff J, York G, Zhu Y, Zhu X, Abdallah CG, Bryant R, Daniels JK, Davidson RJ, Fercho KA, Franz C, Geuze E, Gordon EM, Kaufman ML, Kremen WS, Lagopoulos J, Lanius RA, Lyons MJ, McCauley SR, McGlinchey R, McLaughlin KA, Milberg W, Neria Y, Olff M, Seedat S, Shenton M, Sponheim SR, Stein DJ, Stein MB, Straube T, Tate DF, van der Wee NJA, Veltman DJ, Wang L, Wilde EA, Thompson PM, Kochunov P, Jahanshad N, Morey RA. Altered white matter microstructural organization in posttraumatic stress disorder across 3047 adults: results from the PGC-ENIGMA PTSD consortium. Molecular Psychiatry 2019, 26: 4315-4330. PMID: 31857689, PMCID: PMC7302988, DOI: 10.1038/s41380-019-0631-x.Peer-Reviewed Original ResearchConceptsPosttraumatic stress disorderWhite matter organizationStress disorderFractional anisotropyWhite matter microstructural organizationCurrent alcohol abuseTraumatic brain injuryChildhood trauma exposureMulti-cohort analysisWhite matter metricsAltered structural connectivityLower fractional anisotropyMatter organizationPsychotropic medicationsComorbid depressionBrain injuryCorpus callosumRight hippocampusAlcohol abuseDiffusion MRINeurobiological vulnerabilityHippocampal networkTrauma exposureAge 18Small sample size
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