2025
Embracing Scientific Debate in Brain Metabolism
Andersen J, Aldana B, Bak L, Behar K, Borges K, Carruthers A, Cumming P, Derouiche A, Díaz‐García C, Drew K, Duarte J, Ferreira G, Giove F, Gjedde A, Hyder F, Ioannou M, Kann O, Kristian T, Lai J, Mason G, McNay E, Nedergaard M, Nowak T, Patel A, Rae C, Ryan T, Schuck P, Simpson I, Vannucci S, Waagepetersen H, Yellen G, McKenna M. Embracing Scientific Debate in Brain Metabolism. Journal Of Neurochemistry 2025, 169: e70230. PMID: 40966093, DOI: 10.1111/jnc.70230.Peer-Reviewed Original ResearchConnectome‐Based Predictive Models of General and Specific Executive Functions
Qu S, Qu Y, Yoo K, Chun M. Connectome‐Based Predictive Models of General and Specific Executive Functions. Human Brain Mapping 2025, 46: e70358. PMID: 40956153, PMCID: PMC12439485, DOI: 10.1002/hbm.70358.Peer-Reviewed Original ResearchConceptsConnectome-based predictive modelingExecutive functioning factorExecutive function componentsExecutive functionCognitive componentsDimensional Change Card Sort taskComponents of executive functionCognitive control processesDefault-mode networkCard Sorting TaskSpecific executive functionsDorsal attention networkWhole-brain connectivityFunctional connectivity patternsIndividual performance differencesShifting-specificFlanker taskHuman Connectome ProjectModel of generalizationAdaptive thoughtsDefault-modeCognitive constructsBehavioral measuresIndividual differencesIndividual behavioural measuresHow should race be best considered in understanding brain-behavior relationships? Implications for understanding onset of engagement in addictive behaviors and subsequent problems.
Han X, Zhao Y, Potenza M. How should race be best considered in understanding brain-behavior relationships? Implications for understanding onset of engagement in addictive behaviors and subsequent problems. Journal Of Behavioral Addictions 2025, 14: 1124-1128. PMID: 40932791, DOI: 10.1556/2006.2025.00077.Peer-Reviewed Original ResearchNeuroimaging Data Informed Mood and Psychosis Diagnosis Using an Ensemble Deep Multimodal Framework
Rokham H, Falakshahi H, Pearlson G, Calhoun V. Neuroimaging Data Informed Mood and Psychosis Diagnosis Using an Ensemble Deep Multimodal Framework. Human Brain Mapping 2025, 46: e70347. PMID: 40927869, PMCID: PMC12421244, DOI: 10.1002/hbm.70347.Peer-Reviewed Original ResearchConceptsBrain-based markersNeuroimaging dataMental illnessStructural neuroimaging dataSelf-report assessmentsMultimodal neuroimaging dataAbsence of biological dataPsychiatric groupsPsychosis diagnosisNosological categoriesNeurobiological informationNeurobiological insightsStructural MRIDiagnostic categoriesDiagnostic classificationBrain patternsNeuroimagingPsychosisMoodBrain imaging featuresIllnessLabeled categoriesHomogeneous categoriesBrainCategorizationEngineering human neuronal diversity: Morphogens and stem cell technologies for neurodevelopmental biology
Scuderi S, Khouri-Farah N, Rauthan R, Natu A, Wang H, Nelson A, Jourdon A, Vaccarino F. Engineering human neuronal diversity: Morphogens and stem cell technologies for neurodevelopmental biology. Stem Cell Reports 2025, 20: 102615. PMID: 40930068, PMCID: PMC12447334, DOI: 10.1016/j.stemcr.2025.102615.Peer-Reviewed Original ResearchConceptsNeural tube patterningStem cell technologyTube patterningTranscription factor networksComplex assortmentFactor networksPluripotent stem cellsNeuronal cellsPatterns in vivoCell technologyProgenitor cellsEmbryonic tissuesNeurodevelopmental biologyBrain-on-chipNeuropsychiatric disordersHuman brain developmentStem cellsBrain developmentCellsBrain organoidsPatterning processMorphogenTranscriptionBrainStemImpact of Childhood Neighborhood Deprivation on White Matter and Functional Connectivity During Adolescence
Acosta‐Rodriguez H, Bobba P, Stephan A, Zeevi T, Malhotra A, Tran A, Kaltenhauser S, Ment L, Payabvash S. Impact of Childhood Neighborhood Deprivation on White Matter and Functional Connectivity During Adolescence. Journal Of Neuroimaging 2025, 35: e70087. PMID: 40916058, DOI: 10.1111/jon.70087.Peer-Reviewed Original ResearchConceptsArea Deprivation IndexNeighborhood deprivationSocioeconomic determinantsNeighborhood socioeconomic disadvantageAdult health outcomesPoor neighborhoodsBody mass indexDeprivation indexSocioeconomic disadvantageAdolescent Brain Cognitive Development StudyHealth outcomesDeprived neighbourhoodsFollow-upRepresentative cohortDemographically representative cohortCognitive Development StudyMass indexParental educationWM microstructural integrityChildhood developmentChildhood neighborhoodIncome levelPreadolescent brainSample sizePhysical environmentA single-cell, long-read, isoform-resolved case-control study of FTD reveals cell-type-specific and broad splicing dysregulation in human brain
Belchikov N, Hu W, Fan L, Joglekar A, He Y, Foord C, Jarroux J, Hsu J, Pollard S, Amin S, Prjibelski A, Gong S, Zhang S, Giannelli R, Seelaar H, Tomescu A, Ross M, Li A, Grinberg L, Spina S, Miller B, Cooper-Knock J, Snyder M, Seeley W, Rao-Ruiz P, Spijker S, Smit A, Clelland C, Gan L, Tilgner H. A single-cell, long-read, isoform-resolved case-control study of FTD reveals cell-type-specific and broad splicing dysregulation in human brain. Cell Reports 2025, 44: 116198. PMID: 40913764, DOI: 10.1016/j.celrep.2025.116198.Peer-Reviewed Original ResearchConceptsSplicing patternsSplicing dysregulationCell typesHigh-interest genesCell type switchingTAR DNA-binding protein 43Single-cellDNA-binding protein 43Cell type-specificLong readsDysregulation eventsSplicingTDP-43Neuronal cellsFamilial FTDSequence 2ExonFrontotemporal dementiaProtein 43CellsCase-control studyDysregulationGenesFrequency and Diagnostic Implications of Paramagnetic Rim Lesions in People Presenting for Diagnosis to a Multiple Sclerosis Clinic
Renner B, Verter E, Absinta M, Daboul L, Raza P, Martin M, Cao Q, O'Donnell C, Rodrigues P, Ramos M, Prchkovska V, Derbyshire J, Azevedo C, Bar-Or A, Caverzasi E, Calabresi P, Cree B, Freeman L, Henry R, Longbrake E, Oh J, Papinutto N, Pelletier D, Samudralwar R, Schindler M, Sotirchos E, Sicotte N, Solomon A, Shinohara R, Reich D, Ontaneda D, Sati P. Frequency and Diagnostic Implications of Paramagnetic Rim Lesions in People Presenting for Diagnosis to a Multiple Sclerosis Clinic. Neurology 2025, 105: e213912. PMID: 40893055, DOI: 10.1212/wnl.0000000000213912.Peer-Reviewed Original ResearchConceptsParamagnetic rim lesionsDiagnosis of MSClinically established diagnosisRadiological suspicionMultiple sclerosisClinical presentationMcDonald criteriaDiagnostic performanceRim lesionsSymptom onsetDiagnostic valueImaging biomarkersDiagnostic implicationsActive multiple sclerosisMultiple Sclerosis ClinicChronic active multiple sclerosisAlternative diagnosesClinical symptomsAssociated with higher probabilityBrain MRIObservational studyDiagnostic thresholdMS centersGold standardDiagnosisPhenotypic variation in neural sensory processing by deletion size, age, and sex in Phelan-McDermid syndrome
Smith M, Berry-Kravis E, Thaliath A, Isenstein E, Durkin A, Foss-Feig J, Siper P, Nelson C, Baczewski L, Levin A, Powell C, Pulver S, Mosconi M, Kolevzon A, Ethridge L. Phenotypic variation in neural sensory processing by deletion size, age, and sex in Phelan-McDermid syndrome. Journal Of Neurodevelopmental Disorders 2025, 17: 51. PMID: 40855273, PMCID: PMC12376477, DOI: 10.1186/s11689-025-09642-4.Peer-Reviewed Original ResearchConceptsInter-trial coherenceAuditory processing abnormalitiesEvent-related spectral perturbationReactivity to sensory stimuliDeletion sizeAuditory stimuliRepetitive auditory stimuliSensory processingGenetic conditionsEvent-related potentialsComparison of event-related potentialsPhelan-McDermid syndromeBackgroundPhelan-McDermid syndromeNeonatal hypotoniaElectroencephalography studyDysmorphic featuresInhibitory modulationNeurophysiological abnormalitiesMethodsA totalEarly recognitionSHANK3 geneClinical characterizationProcessing abnormalitiesDevelopmental delayImpaired processingThe chronODE framework for modelling multi-omic time series with ordinary differential equations and machine learning
Borsari B, Frank M, Wattenberg E, Xu K, Liu S, Yu X, Gerstein M. The chronODE framework for modelling multi-omic time series with ordinary differential equations and machine learning. Nature Communications 2025, 16: 7021. PMID: 40830112, PMCID: PMC12365117, DOI: 10.1038/s41467-025-61921-9.Peer-Reviewed Original ResearchConceptsGene expressionKinetics of gene regulationCis-regulatory elementsGenome-wide studiesMultiple regulatory elementsBrain-specific functionModel gene expressionEssential genesBiochemical limitationsGroup genesGene regulationRegulatory elementsChromatin changesOrganismal developmentMouse brain developmentGenesChromatinKinetic patternsCell differentiationCell typesBiophysical constraintsBiological systemsExpressionCellsBrain developmentExercise and the organ-brain axis: Regulation of neurological disorders by emerging exerkines
Dai Y, Dou X, Nie B, Sun Y, Chen P, Fu C, Zhang X, Chu Y, Gao Q, Ge Y, Lin Y. Exercise and the organ-brain axis: Regulation of neurological disorders by emerging exerkines. Pharmacological Research 2025, 219: 107913. PMID: 40818821, DOI: 10.1016/j.phrs.2025.107913.Peer-Reviewed Original ResearchConceptsBlood-brain barrierCentral nervous systemBrain disordersCerebral energy metabolismImmune homeostasisPeripheral organsSynaptic plasticityFunctional alterationsNervous systemAdipose tissueNeuroprotective effectsMicroglia phenotypePeptide releaseMyokine secretionSkeletal muscleBrain homeostasisNeurological disordersDisordersRegulatory effectsBrainBrain functionSignaling moleculesEnergy metabolismHomeostasisAdaptive responseComment on the Editorial “Embracing the Modern Biochemistry of Brain Metabolism”
Dienel G, Rothman D, Mangia S. Comment on the Editorial “Embracing the Modern Biochemistry of Brain Metabolism”. Journal Of Neurochemistry 2025, 169: e70197. PMID: 40810250, PMCID: PMC12351431, DOI: 10.1111/jnc.70197.Peer-Reviewed Original ResearchAn integrated view of the relationships between amyloid, tau, and inflammatory pathophysiology in Alzheimer's disease
Arnsten A, Del Tredici K, Barthélemy N, Gabitto M, van Dyck C, Lein E, Braak H, Datta D. An integrated view of the relationships between amyloid, tau, and inflammatory pathophysiology in Alzheimer's disease. Alzheimer's & Dementia 2025, 21: e70404. PMID: 40767321, PMCID: PMC12326325, DOI: 10.1002/alz.70404.Peer-Reviewed Original ResearchAssociations Between Prenatal Maternal Stress and Infant Resting Brain Activity: A Preregistered Investigation
Troller‐Renfree S, Gray K, Sandre A, Hart E, Sperber J, Dettmer A, Meyer J, Noble K. Associations Between Prenatal Maternal Stress and Infant Resting Brain Activity: A Preregistered Investigation. Developmental Psychobiology 2025, 67: e70068. PMID: 40755288, PMCID: PMC12327790, DOI: 10.1002/dev.70068.Peer-Reviewed Original ResearchFunctionally Adaptive Structural Basis Sets of the Brain: A Dynamic Fusion Approach
Duda M, Chen J, Belger A, Ford J, Mathalon D, Preda A, Turner J, Van Erp T, Pearlson G, Calhoun V. Functionally Adaptive Structural Basis Sets of the Brain: A Dynamic Fusion Approach. Human Brain Mapping 2025, 46: e70302. PMID: 40748017, PMCID: PMC12314923, DOI: 10.1002/hbm.70302.Peer-Reviewed Original ResearchS‐GMAS: Genome‐Wide Mediation Analysis With Brain Subcortical Shape Mediators
Ding S, Liu R, Srivastava A, Nowakowski R, Shen L, Thompson P, Zhang H, Huang C. S‐GMAS: Genome‐Wide Mediation Analysis With Brain Subcortical Shape Mediators. Human Brain Mapping 2025, 46: e70297. PMID: 40741986, PMCID: PMC12311987, DOI: 10.1002/hbm.70297.Peer-Reviewed Original ResearchConceptsSingle-nucleotide polymorphismsMediation analysisGenetic exposuresPotential genetic variantsMediation analysis frameworkBrain imaging phenotypesSignificant mediation effectGenetic variantsGenetic effectsSubcortical shapeAlzheimer's Disease Neuroimaging InitiativeMediation effectSquare-root velocity function representationBrainIndirect effectsNeurological pathwaysClinical outcomesPathwayImaging phenotypesHilbert spaceHilbert subspaceStatistical inferenceMediatorsTrauma-predictive brain network connectivity adaptively responds to mild acute stress
Hardi F, Ye J, Zhou I, Bai Z, Nguyen D, Loetscher K, Pratt J, Harris B, Gee D, Goldfarb E. Trauma-predictive brain network connectivity adaptively responds to mild acute stress. Proceedings Of The National Academy Of Sciences Of The United States Of America 2025, 122: e2505965122. PMID: 40737323, PMCID: PMC12327799, DOI: 10.1073/pnas.2505965122.Peer-Reviewed Original ResearchConceptsBrain networksTrauma exposureAcute stressCommunity sampleConnectome-based predictive modelingCommunity sample of adultsAssociated with lower depressive symptomsMedial frontal cortexSalience network connectivityDefault mode networkMild acute stressLower depressive symptomsConnectivity of brain networksBrain network connectivityStress-exposed groupsSample of adultsSubsample of participantsFunctional connectivity networksRelative to controlsSalience networkFrontal cortexMode networkDepressive symptomsTraumatic experiencesMotor regionsData‐Driven Approach to Dynamic Resting State Functional Connectivity in Post‐Traumatic Stress Disorder: An ENIGMA‐PGC PTSD Study
Tomas C, Fitzgerald J, Baird C, Haswell C, Abdallah C, Angstadt M, Baker J, Berg H, Blackford J, Cisler J, Cotton A, Daniels J, Davenport N, Davidson R, deRoon‐Cassini T, Disner S, Hage W, Fani N, Frijling J, Gordon E, Grupe D, He X, Herringa R, Hofmann D, Huggins A, Hussain A, Ipser J, Jahanshad N, Jovanovic T, Kaufman M, Kim Y, King A, Koch S, Koopowitz S, Lazarov A, Lebois L, Liberzon I, Lissek S, Manthey A, May G, McLaughlin K, Nawijn L, Nelson S, Neria Y, Nitschke J, Olatunji B, Olff M, Peverill M, Quidé Y, Ravid O, Ressler K, Ross M, Salminen L, Sambrook K, Shih C, Sierk A, Sponheim S, Stein D, Stevens J, Straube T, Suarez‐Jimenez B, Thompson P, van der Wee N, van der Werff S, van Rooij S, van Zuiden M, Veltman D, Vermeiren R, Walter H, Wang X, Xie H, Zhu X, Zilcha‐Mano S, Larson C, Morey R. Data‐Driven Approach to Dynamic Resting State Functional Connectivity in Post‐Traumatic Stress Disorder: An ENIGMA‐PGC PTSD Study. Human Brain Mapping 2025, 46: e70116. PMID: 40736265, PMCID: PMC12308910, DOI: 10.1002/hbm.70116.Peer-Reviewed Original ResearchConceptsPosttraumatic stress disorderFunctional magnetic resonance imagingBrain network dynamicsFunctional connectivityStress disorderTrauma typesBrain networksHeterogeneity of posttraumatic stress disorderSymptoms of posttraumatic stress disorderPost-traumatic stress disorderGroup independent component analysisNo group differencesIndependent component analysisResting-state networksStatic functional connectivityBrain network characteristicsMulti-cohort sampleData-driven analytic approachSample of traumaSymptom profilesConnectivity statesDiagnostic groupsGroup differencesStatic FCCognitive demandsParental preconceptual α-cypermethrin exposure alters embryonic brain transcriptomics in mice: Implications for autism spectrum disorder and stress vulnerability
Hing B, Taylor R, Eliasen S, Stevens H. Parental preconceptual α-cypermethrin exposure alters embryonic brain transcriptomics in mice: Implications for autism spectrum disorder and stress vulnerability. NeuroToxicology 2025, 110: 181-196. PMID: 40744256, DOI: 10.1016/j.neuro.2025.07.010.Peer-Reviewed Original ResearchConceptsAutism spectrum disorderStress vulnerabilitySpectrum disorderInhibition of BDNF signalingAberrant brain functionGenes associated with autismBDNF signalingBrain functionAdult C57BL6/J miceForebrainSynaptic processesBrain transcriptomeAutismDose-dependent effectC57BL6/J miceDisordersPotential contributionDNA damage signalling processesBiological processesParentsActivity of eIF4EWeighted gene correlation network analysisDorsal forebrainGene correlation network analysisParental exposureUric acid metabolism and brain dysfunction linking childhood maltreatment to self-harm in adolescents with mood disorders
Wu Y, Li J, Zheng J, Zhang R, Liu J, Xiao Y, Yang J, Zhou J, Zhao P, Wang L, Yu Y, Zhu R, Wang F. Uric acid metabolism and brain dysfunction linking childhood maltreatment to self-harm in adolescents with mood disorders. Progress In Neuro-Psychopharmacology And Biological Psychiatry 2025, 141: 111460. PMID: 40721167, DOI: 10.1016/j.pnpbp.2025.111460.Peer-Reviewed Original ResearchConceptsSelf-harm behaviorsChildhood maltreatmentMiddle temporal gyriStructural equation modelingMood disordersTemporal gyriBilateral middle temporal gyriResting-state functional magnetic resonance imagingFunctional magnetic resonance imagingElevated serum UALow-frequency fluctuationsSignificant risk factorsAdolescent inpatientsDepressive episodeUric acidBetween-group comparisonsMagnetic resonance imagingUric acid metabolismSelf-harmRs-fMRIBrain dysfunctionEmotional abuseSerum UANeural dysfunctionMultimodal assessment
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply