2025
Modularity Measures of Functional Brain Networks Predict Individual Differences in Long‐Term Memory
Zhou M, Chun M, Lin Q. Modularity Measures of Functional Brain Networks Predict Individual Differences in Long‐Term Memory. European Journal Of Neuroscience 2025, 61: e70052. PMID: 40091538, DOI: 10.1111/ejn.70052.Peer-Reviewed Original ResearchConceptsLong-term memoryPredicting individual differencesRecollection memoryIndividual differencesBrain networksLong-term memory performanceLong-term memory capacityMeasures of brain activityBrain functional organizationBrain functional connectivityMode networkBrain activityFunctional connectivityConnector hubsMemoryFunctional organizationBrainModularity measureRecollectionConnectivity featuresEncodingCognitionNeuroanatomyLocal measurementsDifferencesConnectome-Based Predictive Modeling of PTSD Development Among Recent Trauma Survivors
Ben-Zion Z, Simon A, Rosenblatt M, Korem N, Duek O, Liberzon I, Shalev A, Hendler T, Levy I, Harpaz-Rotem I, Scheinost D. Connectome-Based Predictive Modeling of PTSD Development Among Recent Trauma Survivors. JAMA Network Open 2025, 8: e250331. PMID: 40063028, PMCID: PMC11894499, DOI: 10.1001/jamanetworkopen.2025.0331.Peer-Reviewed Original ResearchConceptsConnectome-based predictive modelingPosttraumatic stress disorderClinician-Administered PTSD Scale for DSM-5Months post-traumaFunctional magnetic resonance imagingTrauma survivorsDSM-5Post-traumaPosttraumatic stress disorder symptom clustersPosttraumatic stress disorder symptom severityPosttraumatic stress disorder symptom trajectoriesPosttraumatic stress disorder severityTask-based fMRI dataAnterior default modePredictive of symptomsFollow-up assessmentDevelopment of effective personalized treatmentsComprehensive clinical assessmentClinician-AdministeredNeurobiological indicesPosttraumatic psychopathologyHyperarousal symptomsCentral executiveTrauma exposureSalience networkInfant sleep state coded from respiration and its relationship to the developing functional connectome: A feasibility study
Mueller I, Rodriguez R, Pini N, Holland C, Ababio R, Inala S, Delapenha K, Mahmoodi V, Khaitova M, Hao X, Fifer W, Scheinost D, Spann M. Infant sleep state coded from respiration and its relationship to the developing functional connectome: A feasibility study. Developmental Cognitive Neuroscience 2025, 72: 101525. PMID: 39965287, PMCID: PMC11876745, DOI: 10.1016/j.dcn.2025.101525.Peer-Reviewed Original ResearchMeSH KeywordsBrainConnectomeFeasibility StudiesFemaleHumansInfantMagnetic Resonance ImagingMaleRespirationSleepStatic and Dynamic Cross‐Network Functional Connectivity Shows Elevated Entropy in Schizophrenia Patients
Maksymchuk N, Miller R, Bustillo J, Ford J, Mathalon D, Preda A, Pearlson G, Calhoun V. Static and Dynamic Cross‐Network Functional Connectivity Shows Elevated Entropy in Schizophrenia Patients. Human Brain Mapping 2025, 46: e70134. PMID: 39924889, PMCID: PMC11808047, DOI: 10.1002/hbm.70134.Peer-Reviewed Original ResearchConceptsSZ patientsCognitive controlBrain networksFunctional connectivityHealthy controlsBrain domainsConnection strengthAnalyzed fMRI dataFunctional brain networksDiagnosed mental health conditionDynamic functional connectivityMental health conditionsSchizophrenia patientsSchizophreniaFMRI dataBrain statesEntropy correlationBrainDiseased brain statesSensorimotorControl groupK-means cluster analysisDMNConnection levelHealth conditionsHypothalamic resting-state functional connectivity and self-evaluated aggression in young adults
Yao Y, Chen Y, Li C. Hypothalamic resting-state functional connectivity and self-evaluated aggression in young adults. Journal Of Psychiatric Research 2025, 182: 421-429. PMID: 39889403, PMCID: PMC11834083, DOI: 10.1016/j.jpsychires.2025.01.045.Peer-Reviewed Original ResearchConceptsResting-state functional connectivityAggression scoresLateral hypothalamusSex differencesHuman Connectome ProjectFunctional connectivityAchenbach Adult Self-ReportAdult Self-ReportYoung adultsManifestations of aggressionVoxel-wise regressionPublished routinesMotivated behaviorOccipital gyriAggressive behaviorSelf-reportMental healthAggressionConnectome ProjectNeural pathwaysBehavioral traitsRSFCHypothalamusScoresAdultsNeurobiological fingerprints of negative symptoms in schizophrenia identified by connectome‐based modeling
Gao Z, Xiao Y, Zhu F, Tao B, Zhao Q, Yu W, Bishop J, Gong Q, Lui S. Neurobiological fingerprints of negative symptoms in schizophrenia identified by connectome‐based modeling. Psychiatry And Clinical Neurosciences 2025, 79: 108-116. PMID: 39815736, DOI: 10.1111/pcn.13782.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultConnectomeFemaleHumansMagnetic Resonance ImagingMaleNerve NetSchizophreniaYoung AdultConceptsConnectome-based predictive modelingNegative symptomsResting-state functional connectivity dataSeverity of negative symptomsDevelopment of novel treatment interventionsPrediction of negative symptomsDrug-naive schizophrenia patientsFirst-episode drug-naive schizophrenia patientsUnique neural substratesNovel treatment interventionsFunctional connectivity dataConnectome-based modelsSchizophrenia psychopathologySchizophrenia patientsNeurobiological mechanismsNeural substratesSymptom-specificSchizophreniaIndependent validation sampleError processNeural fingerprintsTreatment interventionsConnectivity patternsFunctional networksConnectivity dataPolygenic risk for depression and resting-state functional connectivity of subgenual anterior cingulate cortex in young adults
Chen Y, Li H, Luo X, Li G, Ide J, Li C. Polygenic risk for depression and resting-state functional connectivity of subgenual anterior cingulate cortex in young adults. Journal Of Psychiatry And Neuroscience 2025, 50: e31-e44. PMID: 39809531, PMCID: PMC11737878, DOI: 10.1503/jpn.240087.Peer-Reviewed Original ResearchConceptsResting-state functional connectivityPolygenic risk scoresSubgenual anterior cingulate cortexAnterior cingulate cortexDepression severityCingulate cortexSubclinical depressionHealthy young adultsSomatic complaintsYoung adultsPolygenic riskAssociated with depression severitySeverity of somatic complaintsSeverity of depressive symptomsAssociated with polygenic riskWhole-brain regressionAlcohol use severityMarkers of depressionManifestations of depressionHuman Connectome ProjectDepressive disorderSubclinical populationsMode networkDepressive symptomsBrain structuresBalancing Data Quality and Bias: Investigating Functional Connectivity Exclusions in the Adolescent Brain Cognitive Development℠ (ABCD Study) Across Quality Control Pathways
Peverill M, Russell J, Keding T, Rich H, Halvorson M, King K, Birn R, Herringa R. Balancing Data Quality and Bias: Investigating Functional Connectivity Exclusions in the Adolescent Brain Cognitive Development℠ (ABCD Study) Across Quality Control Pathways. Human Brain Mapping 2025, 46: e70094. PMID: 39788921, PMCID: PMC11717557, DOI: 10.1002/hbm.70094.Peer-Reviewed Original Research
2024
Stepwise pathways from the olfactory cortex to central hub regions in the human brain
Menelaou G, Diez I, Zelano C, Zhou G, Persson J, Sepulcre J, Olofsson J. Stepwise pathways from the olfactory cortex to central hub regions in the human brain. Human Brain Mapping 2024, 45: e26760. PMID: 39688149, PMCID: PMC11651219, DOI: 10.1002/hbm.26760.Peer-Reviewed Original ResearchConceptsDefault-mode networkCortical hubsHuman brainDefault-mode network regionsAnterior olfactory nucleusFunctional connectivity researchProcessing rewardOrbitofrontal cortexAnterior insulaOlfactory tubercleFrontal sulcusPiriform cortexOlfactory cortexCortical subregionsOlfactory nucleusAssociation cortexLanguage acquisitionParietal operculumNeural activityTemporal regionsCortical networksSynchronous neural activityOlfactory pathwaySensory cortexOlfactory systemBrain age prediction and deviations from normative trajectories in the neonatal connectome
Sun H, Mehta S, Khaitova M, Cheng B, Hao X, Spann M, Scheinost D. Brain age prediction and deviations from normative trajectories in the neonatal connectome. Nature Communications 2024, 15: 10251. PMID: 39592647, PMCID: PMC11599754, DOI: 10.1038/s41467-024-54657-5.Peer-Reviewed Original ResearchConceptsPostmenstrual agePerinatal periodBrain age predictionFunctional connectomeMonths of postnatal lifeMonths of lifePreterm infantsNormative trajectoryConnectome-based predictive modelingThird trimesterPerinatal exposureBrain age gapPostnatal lifeResting-state fMRIInfantsHuman Connectome ProjectNeonatal connectomeDevelopmental trajectoriesBrainBehavioral outcomesNormative dataMonthsConnectome ProjectDTI dataConnectomeFunctional Connectivity Biomarkers in Schizophrenia
Howell A, Anticevic A. Functional Connectivity Biomarkers in Schizophrenia. Advances In Neurobiology 2024, 40: 237-283. PMID: 39562448, DOI: 10.1007/978-3-031-69491-2_10.Peer-Reviewed Original ResearchMeSH KeywordsAntipsychotic AgentsBiomarkersBrainConnectomeHumansMagnetic Resonance ImagingSchizophreniaConceptsFunctional connectivityResponse to antipsychotic medicationDebilitating neuropsychiatric disorderAbnormal brain functionFood and Drug AdministrationFunctional connectivity biomarkersAntipsychotic medicationNeural alterationsNeural changesPsychiatric conditionsNeuropsychiatric disordersNeural mechanismsBrain regionsSchizophreniaFC biomarkersNational Institutes of HealthConnectivity biomarkersBrain functionMagnetic resonance imaging (MRI)-based studyUS Food and Drug AdministrationFC metricsTreatment responseFDA-approved biomarkersPublic health problemPatient subgroupsDecoding cortical chronotopy—Comparing the influence of different cortical organizational schemes
Mecklenbrauck F, Sepulcre J, Fehring J, Schubotz R. Decoding cortical chronotopy—Comparing the influence of different cortical organizational schemes. NeuroImage 2024, 303: 120914. PMID: 39491762, DOI: 10.1016/j.neuroimage.2024.120914.Peer-Reviewed Original ResearchConceptsRich-clubInter-subject correlationStructural rich clubNetwork module structureLevels of cognitive controlInter-subject correlation analysisGraph-theoretic measures of centralityResting-state fMRIHigher cortical areasOrganizational schemeMode of processingIntrinsic timescalesBayesian model comparisonCognitive controlTask fMRIDiffusion-weighted imaging dataCortical regionsModulated structureTimescalesCortical areasNetwork hubsDigital sequencesCytoarchitectural differencesMeasures of centralityModel comparisonTemporal complexity of the BOLD-signal in preterm versus term infants
Mella A, Vanderwal T, Miller S, Weber A. Temporal complexity of the BOLD-signal in preterm versus term infants. Cerebral Cortex 2024, 34: bhae426. PMID: 39582376, PMCID: PMC11586500, DOI: 10.1093/cercor/bhae426.Peer-Reviewed Original ResearchConceptsBirth ageWeeks gestational agePreterm brainGestational ageTerm infantsPreterm birthPretermCerebral developmentTerm equivalentNeonatesBOLD signalBirthScan ageInfantsAgeMixed effects modelsLinear mixed effects modelsEstimation of myelinResting state networksBrainHuman Connectome ProjectEffects modelDiffusion weighted imaging dataConnectomic reconstruction predicts visual features used for navigation
Garner D, Kind E, Lai J, Nern A, Zhao A, Houghton L, Sancer G, Wolff T, Rubin G, Wernet M, Kim S. Connectomic reconstruction predicts visual features used for navigation. Nature 2024, 634: 181-190. PMID: 39358517, PMCID: PMC11446847, DOI: 10.1038/s41586-024-07967-z.Peer-Reviewed Original ResearchConceptsVisual featuresAnterior visual pathwayClasses of neuronsOptic lobeAnterior optic tubercleLocation of synapsesER neuronsDrosophila melanogasterOptic tubercleAVPPresynaptic connectionsVisual informationCentral brainNeuronsConnectome reconstructionVisual pathwayNavigation systemCentral complexPostsynaptic connectionsMedullaNeural classInformation channelsDendritic fieldsNavigationVisual inputNeuronal parts list and wiring diagram for a visual system
Matsliah A, Yu S, Kruk K, Bland D, Burke A, Gager J, Hebditch J, Silverman B, Willie K, Willie R, Sorek M, Sterling A, Kind E, Garner D, Sancer G, Wernet M, Kim S, Murthy M, Seung H. Neuronal parts list and wiring diagram for a visual system. Nature 2024, 634: 166-180. PMID: 39358525, PMCID: PMC11446827, DOI: 10.1038/s41586-024-07981-1.Peer-Reviewed Original ResearchPrediction of craving across studies: A commentary on conceptual and methodological considerations when using data-driven methods
Antons S, Yip S, Lacadie C, Dadashkarimi J, Scheinost D, Brand M, Potenza M. Prediction of craving across studies: A commentary on conceptual and methodological considerations when using data-driven methods. Journal Of Behavioral Addictions 2024, 13: 695-701. PMID: 39356557, PMCID: PMC11457034, DOI: 10.1556/2006.2024.00050.Peer-Reviewed Original ResearchConceptsAddictive behaviorsDisorders due to addictive behaviorsConnectome-based predictive modelingPrediction of cravingInvestigate neural mechanismsSubstance use disordersNeural mechanismsCravingSubstance useMethodological considerationsDisordersMethodological featuresBehaviorConceptualizationCommentaryStudyFindingsSubstancesA shared spatial topography links the functional connectome correlates of cocaine use disorder and dopamine D2/3 receptor densities
Ricard J, Labache L, Segal A, Dhamala E, Cocuzza C, Jones G, Yip S, Chopra S, Holmes A. A shared spatial topography links the functional connectome correlates of cocaine use disorder and dopamine D2/3 receptor densities. Communications Biology 2024, 7: 1178. PMID: 39300138, PMCID: PMC11413242, DOI: 10.1038/s42003-024-06836-9.Peer-Reviewed Original ResearchConceptsCocaine use disorderPatterns of functional connectivityUse disorderFunctional connectivityReceptor densityLarge-scale functional brain networksMaintenance of substance useDopamine D2/3 receptorsDopamine receptor densityCortico-striatal circuitsProfile of functional connectivitySubstance use disordersFunctional brain networksNeurotransmitter receptor densityD2/3 receptorsDopamine systemTransporter bindingSubcortical systemsBrain networksSubstance useCocaineSpatial topographyDisordersDopamineBiological mechanismsNeurodevelopmental subtypes of functional brain organization in the ABCD study using a rigorous analytic framework
DeRosa J, Friedman N, Calhoun V, Banich M. Neurodevelopmental subtypes of functional brain organization in the ABCD study using a rigorous analytic framework. NeuroImage 2024, 299: 120827. PMID: 39245397, PMCID: PMC11779700, DOI: 10.1016/j.neuroimage.2024.120827.Peer-Reviewed Original ResearchConceptsResting-state functional connectivityAdolescent Brain Cognitive DevelopmentIndividual’s resting-state functional connectivityAdolescent Brain Cognitive Development StudyFunctional brain organizationMental health profilesMental health characteristicsRsFC dataBrain organizationFunctional connectivityDevelopmental trajectoriesChildren aged 9Emotional functioningCognitive developmentLate childhoodAged 9SubtypesAdolescentsHealth characteristicsHealth profileChildhoodCommon and unique brain aging patterns between females and males quantified by large‐scale deep learning
Du Y, Yuan Z, Sui J, Calhoun V. Common and unique brain aging patterns between females and males quantified by large‐scale deep learning. Human Brain Mapping 2024, 45: e70005. PMID: 39225381, PMCID: PMC11369911, DOI: 10.1002/hbm.70005.Peer-Reviewed Original ResearchConceptsBrain functional changesFunctional connectivityCognitive controlBrain agingBrain functionPatterns of brain agingResting-state brain functional connectivityBrain functional interactionsBrain functional connectivityHuman brain functionBrain aging patternsGender commonalitiesAge-related changesDeep learningHealthy participantsNormal agingNegative connectionFunctional changesBrainPositive connectionDeep learning modelsFunctional domainsAge effectsFunctional interactionsCross-validation schemeExplainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development
Chen L, Qiao C, Ren K, Qu G, Calhoun V, Stephen J, Wilson T, Wang Y. Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development. NeuroImage 2024, 298: 120771. PMID: 39111376, PMCID: PMC11533345, DOI: 10.1016/j.neuroimage.2024.120771.Peer-Reviewed Original ResearchConceptsSpatio-temporal dependenciesSpatial neighborhoodGraph learning methodsBrain network analysisNode representationsEvolution mechanisms of complex networksAdjacency informationDynamic brain network analysisModel explainabilityLanguage processingGraph evolutionEvolution learningLearning methodsLocal informationMechanism of complex networksDynamic evolutionModel dynamic interactionsDynamic functional connectivityNetwork componentsNested subgraphsLearning moduleExperimental resultsNetworkNetwork transitionsBrain development studies
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