2024
A multimodal Neuroimaging-Based risk score for mild cognitive impairment
Zendehrouh E, Sendi M, Abrol A, Batta I, Hassanzadeh R, Calhoun V. A multimodal Neuroimaging-Based risk score for mild cognitive impairment. NeuroImage Clinical 2024, 45: 103719. PMID: 39637673, PMCID: PMC11664180, DOI: 10.1016/j.nicl.2024.103719.Peer-Reviewed Original ResearchMild cognitive impairment riskMild cognitive impairmentMild cognitive impairment groupRisk of mild cognitive impairmentRisk scoreUK Biobank participantsFunctional network connectivityCognitive impairmentPrecursor to ADSignificant cognitive declineBiobank participantsUK BiobankMild cognitive impairment individualsGenetic risk factorsAlzheimer's diseaseFunctional MRIHigh-risk groupStructural MRIAD riskRisk factorsCognitive declineFeatures of CNGray matterDifferentiate CNParticipants4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia
Pusuluri K, Fu Z, Miller R, Pearlson G, Kochunov P, Van Erp T, Iraji A, Calhoun V. 4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia. Human Brain Mapping 2024, 45: e26773. PMID: 39045900, PMCID: PMC11267451, DOI: 10.1002/hbm.26773.Peer-Reviewed Original ResearchConceptsBrain networksFunctional magnetic resonance imagingAssociated with cognitive performanceDynamics of functional brain networksAssociated with cognitionFunctional brain networksVoxel-wise changesVolumetric couplingDynamical variablesCognitive performanceTypical controlsSchizophreniaCognitive impairmentNetwork pairsMagnetic resonance imagingPair of networksCognitionAtypical variabilityResonance imagingCouplingNetwork connectivityNetwork growthImpairmentBrainStatic networksVerbal Learning and Memory Deficits across Neurological and Neuropsychiatric Disorders: Insights from an ENIGMA Mega Analysis
Kennedy E, Liebel S, Lindsey H, Vadlamani S, Lei P, Adamson M, Alda M, Alonso-Lana S, Anderson T, Arango C, Asarnow R, Avram M, Ayesa-Arriola R, Babikian T, Banaj N, Bird L, Borgwardt S, Brodtmann A, Brosch K, Caeyenberghs K, Calhoun V, Chiaravalloti N, Cifu D, Crespo-Facorro B, Dalrymple-Alford J, Dams-O’Connor K, Dannlowski U, Darby D, Davenport N, DeLuca J, Diaz-Caneja C, Disner S, Dobryakova E, Ehrlich S, Esopenko C, Ferrarelli F, Frank L, Franz C, Fuentes-Claramonte P, Genova H, Giza C, Goltermann J, Grotegerd D, Gruber M, Gutierrez-Zotes A, Ha M, Haavik J, Hinkin C, Hoskinson K, Hubl D, Irimia A, Jansen A, Kaess M, Kang X, Kenney K, Keřková B, Khlif M, Kim M, Kindler J, Kircher T, Knížková K, Kolskår K, Krch D, Kremen W, Kuhn T, Kumari V, Kwon J, Langella R, Laskowitz S, Lee J, Lengenfelder J, Liou-Johnson V, Lippa S, Løvstad M, Lundervold A, Marotta C, Marquardt C, Mattos P, Mayeli A, McDonald C, Meinert S, Melzer T, Merchán-Naranjo J, Michel C, Morey R, Mwangi B, Myall D, Nenadić I, Newsome M, Nunes A, O’Brien T, Oertel V, Ollinger J, Olsen A, de la Foz V, Ozmen M, Pardoe H, Parent M, Piras F, Piras F, Pomarol-Clotet E, Repple J, Richard G, Rodriguez J, Rodriguez M, Rootes-Murdy K, Rowland J, Ryan N, Salvador R, Sanders A, Schmidt A, Soares J, Spalleta G, Španiel F, Sponheim S, Stasenko A, Stein F, Straube B, Thames A, Thomas-Odenthal F, Thomopoulos S, Tone E, Torres I, Troyanskaya M, Turner J, Ulrichsen K, Umpierrez G, Vecchio D, Vilella E, Vivash L, Walker W, Werden E, Westlye L, Wild K, Wroblewski A, Wu M, Wylie G, Yatham L, Zunta-Soares G, Thompson P, Pugh M, Tate D, Hillary F, Wilde E, Dennis E. Verbal Learning and Memory Deficits across Neurological and Neuropsychiatric Disorders: Insights from an ENIGMA Mega Analysis. Brain Sciences 2024, 14: 669. PMID: 39061410, PMCID: PMC11274572, DOI: 10.3390/brainsci14070669.Peer-Reviewed Original ResearchAttention-deficit/hyperactivity disorderVerbal learningNeuropsychiatric conditionsTraumatic brain injuryYears of educationMild cognitive impairmentComorbid disordersAttention-deficit/hyperactivityBipolar disorderMemory deficitsMemory performanceMemory recallClinical groupsMega-analysisCognitive impairmentEffects of dementiaAssociated with dementiaMemoryBrain injurySchizophreniaMemory impactDisordersDepressionParkinson's diseaseUnique participantsCross‐cohort replicable resting‐state functional connectivity in predicting symptoms and cognition of schizophrenia
Zhao C, Jiang R, Bustillo J, Kochunov P, Turner J, Liang C, Fu Z, Zhang D, Qi S, Calhoun V. Cross‐cohort replicable resting‐state functional connectivity in predicting symptoms and cognition of schizophrenia. Human Brain Mapping 2024, 45: e26694. PMID: 38727014, PMCID: PMC11083889, DOI: 10.1002/hbm.26694.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingNegative symptomsFunctional connectivityCognitive impairmentPrediction of negative symptomsResting-state functional connectivityAssociated with reduced cognitive functionDebilitating mental illnessHealthy controlsPredicting functional connectivityEarly adulthood onsetPositive symptomsNeural underpinningsSchizophreniaCognitive functionSensorimotor networkPredicting symptomsMental illnessConnectivity patternsClinical interventionsMagnetic resonance imagingAdulthood onsetSymptomsImpairmentResonance imaging
2023
A brain‐wide risk score of Alzheimer’s disease based on multimodal neuroimaging predicts cognition in large N>37000 population data
Zendehrouh E, Sendi M, Calhoun V. A brain‐wide risk score of Alzheimer’s disease based on multimodal neuroimaging predicts cognition in large N>37000 population data. Alzheimer's & Dementia 2023, 19 DOI: 10.1002/alz.077591.Peer-Reviewed Original ResearchMild cognitive impairmentAD riskGenetic risk of ADCognitive scoresRisk of ADFunctional network connectivityUK BiobankAlzheimer's diseaseGenetic riskRisk scoreBackground Alzheimer’s diseaseFI scoreFluid intelligenceCognitive impairmentPopulation dataEvaluate individualsGray matterScoresRiskReaction timeBiotypesElevated C-reactive protein mediates the liver-brain axis: a preliminary study
Jiang R, Wu J, Rosenblatt M, Dai W, Rodriguez R, Sui J, Qi S, Liang Q, Xu B, Meng Q, Calhoun V, Scheinost D. Elevated C-reactive protein mediates the liver-brain axis: a preliminary study. EBioMedicine 2023, 93: 104679. PMID: 37356206, PMCID: PMC10320521, DOI: 10.1016/j.ebiom.2023.104679.Peer-Reviewed Original ResearchConceptsRegional gray matter volumeGray matter volumeCognitive functioningMost cognitive measuresUnderlying neurobiological factorsEffect sizeLarge effect sizesProspective memoryVisual memoryCognitive measuresExecutive functionTrail MakingCognitive performanceNeurobiological factorsSmall effect sizesProcessing speedVentral striatumParahippocampal gyrusCognitive declineCognitive impairmentMatter volumeMemoryFunctioningCross-sectional associationsLimited researchInterpretable LSTM model reveals transiently-realized patterns of dynamic brain connectivity that predict patient deterioration or recovery from very mild cognitive impairment
Gao Y, Lewis N, Calhoun V, Miller R. Interpretable LSTM model reveals transiently-realized patterns of dynamic brain connectivity that predict patient deterioration or recovery from very mild cognitive impairment. Computers In Biology And Medicine 2023, 161: 107005. PMID: 37211004, PMCID: PMC10365638, DOI: 10.1016/j.compbiomed.2023.107005.Peer-Reviewed Original ResearchConceptsMild cognitive impairmentDynamic functional network connectivityCognitive impairmentResting-state functional magnetic resonance imagingDementia interventionsFunctional magnetic resonance imagingAlzheimer's diseaseCognitive healthPatient deteriorationFunctional network connectivityCognitive abilitiesShort-term memoryRs-fMRIBrain connectivityResolved measurementsDynamic brain connectivityMagnetic resonance imaging
2022
Links between electroconvulsive therapy responsive and cognitive impairment multimodal brain networks in late-life major depressive disorder
Qi S, Calhoun V, Zhang D, Miller J, Deng Z, Narr K, Sheline Y, McClintock S, Jiang R, Yang X, Upston J, Jones T, Sui J, Abbott C. Links between electroconvulsive therapy responsive and cognitive impairment multimodal brain networks in late-life major depressive disorder. BMC Medicine 2022, 20: 477. PMID: 36482369, PMCID: PMC9733153, DOI: 10.1186/s12916-022-02678-6.Peer-Reviewed Original ResearchConceptsMultimodal brain networksElectroconvulsive therapyBrain networksHippocampal complexCognitive impairmentSingle site clinical trialsCognitive impairing effectsSuperior orbitofrontal cortexECT seriesMedial temporal cortexLate-life depressionHDRS reductionAntidepressant outcomesOrbitofrontal cortexNeurobiological underpinningsCognitive safetyImpairing effectsTemporal cortexOptimal pulse amplitudeCognitive outcomesCognitive AssessmentCognitive-impairmentLongitudinal multimodal imagingCognitive networksDepressionSafety and biomarker effects of candesartan in non-hypertensive adults with prodromal Alzheimer’s disease
Hajjar I, Okafor M, Wan L, Yang Z, Nye J, Bohsali A, Shaw L, Levey A, Lah J, Calhoun V, Moore R, Goldstein F. Safety and biomarker effects of candesartan in non-hypertensive adults with prodromal Alzheimer’s disease. Brain Communications 2022, 4: fcac270. PMID: 36440097, PMCID: PMC9683395, DOI: 10.1093/braincomms/fcac270.Peer-Reviewed Original ResearchProdromal Alzheimer's diseaseMild cognitive impairmentCognitive effectsCognitive functionCognitive impairmentNon-hypertensive individualsAlzheimer's diseasePositive cognitive effectsAssociated with improved executive functionComposite cognitive scoreGlobal cognitive functionFunctional network connectivityImproving global cognitive functionBrain amyloid accumulationExecutive functionExploratory outcomesCognitive measuresSubcortical networksHippocampal volumeNon-hypertensive adultsFalse discovery rate correctionParahippocampal regionIntention-to-treat approachPlacebo-controlled trialNon-hypertensive participants
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply