2025
Prognostic value of plasma biomarkers for informing clinical trial design in mild-to-moderate Alzheimer’s disease
Qiu Y, Jacobs D, Messer K, Salmon D, Wellington C, Stukas S, Revta C, Brewer J, Léger G, Askew B, Donahue L, Kaplita S, Coric V, Qureshi I, Feldman H. Prognostic value of plasma biomarkers for informing clinical trial design in mild-to-moderate Alzheimer’s disease. Alzheimer's Research & Therapy 2025, 17: 97. PMID: 40317057, PMCID: PMC12046789, DOI: 10.1186/s13195-025-01745-3.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAlzheimer DiseaseAmyloid beta-PeptidesBiomarkersDouble-Blind MethodFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPrognosisResearch Designtau ProteinsConceptsMild to moderate ADADAS-cog11CDR-SBBaseline plasma NfLAlzheimer's diseasePlasma biomarkersMild-to-moderate Alzheimer's diseasePrognostic valueClinical trialsBaseline NfLPlasma NfLPlacebo-controlled trialCortical volumeConcentrations of plasma biomarkersMethodsPost hoc analysisDesign of clinical trialsClinical outcome dataIncreased ventricular volumeTrial participantsVolumetric MRIBaseline concentrationsEarly disease stagesClinical trial designTrial entry criteriaAD trialsModularity 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 ResearchMeSH KeywordsAdultBrainConnectomeFemaleHumansIndividualityMagnetic Resonance ImagingMaleMemory, Long-TermNerve NetRecognition, PsychologyYoung AdultConceptsLong-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 measurementsDifferencesCardiac Magnetic Resonance Imaging in Immune Checkpoint Inhibitor–Related Myocarditis
Hammer M, Tysarowski M, Fuss C, Bader A. Cardiac Magnetic Resonance Imaging in Immune Checkpoint Inhibitor–Related Myocarditis. Echocardiography 2025, 42: e70131. PMID: 40067334, DOI: 10.1111/echo.70131.Peer-Reviewed Original ResearchMeSH KeywordsHumansImmune Checkpoint InhibitorsMagnetic Resonance ImagingMagnetic Resonance Imaging, CineMaleMyocarditisConceptsImmune-related adverse eventsImmune checkpoint inhibitorsCardiac magnetic resonance imagingMagnetic resonance imagingAssociated with immune-related adverse eventsCardiac immune-related adverse eventsMechanisms of immune checkpoint inhibitorsICI-associated myocarditisICI-related myocarditisResonance imagingPersonalized cancer immunotherapySevere cardiovascular complicationsImmune tolerance pathwayCheckpoint inhibitorsCancer immunotherapyCardiac complicationsCombination therapyTumor cytotoxicityClinical presentationCardiovascular complicationsAdverse eventsTherapeutic efficacyOncological treatmentTherapeutic strategiesMyocarditisMovies reveal the fine-grained organization of infant visual cortex
Ellis C, Yates T, Arcaro M, Turk-Browne N. Movies reveal the fine-grained organization of infant visual cortex. ELife 2025, 12: rp92119. PMID: 40047799, PMCID: PMC11884787, DOI: 10.7554/elife.92119.Peer-Reviewed Original ResearchMeSH KeywordsBrain MappingFemaleHumansInfantMagnetic Resonance ImagingMaleMotion PicturesPhotic StimulationVisual CortexVisual PerceptionConnectome-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 ResearchMeSH KeywordsAdultConnectomeFemaleHumansIsraelLongitudinal StudiesMachine LearningMagnetic Resonance ImagingMaleMiddle AgedPrognosisStress Disorders, Post-TraumaticSurvivorsWounds and InjuriesConceptsConnectome-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 networkApixaban to Prevent Covert Infarcts After Cryptogenic Stroke in Patients With Atrial Cardiopathy
Lansberg M, Wintermark M, Chen H, Howard G, Cassarly C, Pauls Q, Kemp S, Harris T, Krishnaiah B, Stanton R, Lyerly M, Miller B, Smith E, Tirschwell D, Sheth K, Kamel H, Longstreth W, Elkind M, Broderick J, Lazar R. Apixaban to Prevent Covert Infarcts After Cryptogenic Stroke in Patients With Atrial Cardiopathy. JAMA Neurology 2025, 82: 220-227. PMID: 39869342, PMCID: PMC11773411, DOI: 10.1001/jamaneurol.2024.4838.Peer-Reviewed Original ResearchMeSH KeywordsAgedAspirinAtrial FibrillationFactor Xa InhibitorsFemaleHumansIschemic StrokeMagnetic Resonance ImagingMaleMiddle AgedPyrazolesPyridonesConceptsCovert infarctsResearch magnetic resonance imagingCompletion of participationParticipant completionAtrial cardiopathyMain OutcomesParent studyRandomized clinical trialsPrimary outcomeFollow-up magnetic resonance imagingMagnetic resonance imagingParticipantsFollow-up periodRecurrent strokeStrokeIschemic strokeFollow-upBaseline characteristicsAncillary studiesCryptogenic strokeBaselineInsufficient qualityPreventionInfarctionIQRBrain connectivity correlates of the impact of a digital intervention for individuals with subjective cognitive decline on depression and IL-18
Catalogna M, Somerville Y, Saporta N, Nathansohn-Levi B, Shelly S, Edry L, Zagoory-Sharon O, Feldman R, Amedi A. Brain connectivity correlates of the impact of a digital intervention for individuals with subjective cognitive decline on depression and IL-18. Scientific Reports 2025, 15: 6863. PMID: 40011544, PMCID: PMC11865443, DOI: 10.1038/s41598-025-91457-3.Peer-Reviewed Original ResearchMeSH KeywordsBrainCognitive Behavioral TherapyCognitive DysfunctionDepressionFemaleHumansInterleukin-18Magnetic Resonance ImagingMaleMiddle AgedMindfulnessPilot ProjectsConceptsBrain connectivityCognitive declineResting-state functional connectivityEffect sizeCognitive behavioral therapyLate-life depressionSelf-reported depressionMedium effect sizeDigital interventionsInterventions targeting mental healthMood regulationBehavioral therapyDepressive symptomsDecreased connectivityPost-intervention changesFunctional connectivityTwo-week interventionCognitive functionSpatial cognitionDepression scoresBrain healthBehavioral outcomesBrain functionPsychological techniquesPsychological healthProtective role of parenthood on age-related brain function in mid- to late-life
Orchard E, Chopra S, Ooi L, Chen P, An L, Jamadar S, Yeo B, Rutherford H, Holmes A. Protective role of parenthood on age-related brain function in mid- to late-life. Proceedings Of The National Academy Of Sciences Of The United States Of America 2025, 122: e2411245122. PMID: 39999172, PMCID: PMC11892684, DOI: 10.1073/pnas.2411245122.Peer-Reviewed Original ResearchConceptsBrain functionFunctional connectivityPatterns of brain functionAssociated with higher connectivityConsistent with animal modelsBrain structuresCaregiving environmentAssociated with patternsAge-related alterationsBrain healthAging trajectoriesLate-lifeSpatial topographyAdult brainImpact of caregivingBrainPreliminary findingsHuman parentingImpact of ageCaregiving experienceChildrenCaregiversHigher connectivityEffect of parenthoodOne-bodyDiminished reward circuit response underlies pain avoidance learning deficits in problem drinkers
Le T, Oba T, Li C. Diminished reward circuit response underlies pain avoidance learning deficits in problem drinkers. NeuroImage Clinical 2025, 45: 103762. PMID: 40009903, PMCID: PMC11908557, DOI: 10.1016/j.nicl.2025.103762.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcoholismAvoidance LearningBrainFemaleGyrus CinguliHumansMagnetic Resonance ImagingMaleMiddle AgedPainRewardYoung AdultConceptsPosterior cingulate cortexAvoidance learningReward circuitDrinking severityReward deficiencyLearning deficitsPain avoidanceProblem drinkersAlcohol useAvoidance learning deficitMedial orbitofrontal cortexReward circuit dysfunctionVentral tegmental areaPoor avoidance learningAssociated with problem drinkingOrbitofrontal cortexTegmental areaGo/NoGo taskCingulate cortexNeural correlatesBehavioral findingsCircuit dysfunctionAdult drinkersBrain regionsNeural processesDeep learning to quantify the pace of brain aging in relation to neurocognitive changes
Yin C, Imms P, Chowdhury N, Chaudhari N, Ping H, Wang H, Bogdan P, Irimia A, Weiner M, Aisen P, Petersen R, Jack C, Jagust W, Landau S, Rivera-Mindt M, Okonkwo O, Shaw L, Lee E, Toga A, Beckett L, Harvey D, Green R, Saykin A, Nho K, Perrin R, Tosun D, Sachdev P, Green R, Drake E, Montine T, Conti C, Weiner M, Nosheny R, Truran Sacrey D, Fockler J, Miller M, Conti C, Kwang W, Jin C, Diaz A, Ashford M, Flenniken D, Kormos A, Petersen R, Aisen P, Rafii M, Raman R, Jimenez G, Donohue M, Salazar J, Fidell A, Boatwright V, Robison J, Zimmerman C, Cabrera Y, Walter S, Clanton T, Shaffer E, Webb C, Hergesheimer L, Smith S, Ogwang S, Adegoke O, Mahboubi P, Pizzola J, Jenkins C, Beckett L, Harvey D, Donohue M, Saito N, Diaz A, Hussen K, Okonkwo O, Rivera-Mindt M, Amaza H, Thao M, Parkins S, Ayo O, Glittenberg M, Hoang I, Germano K, Strong J, Weisensel T, Magana F, Thomas L, Guzman V, Ajayi A, Di Benedetto J, Talavera S, Jack C, Felmlee J, Fox N, Thompson P, DeCarli C, Forghanian-Arani A, Borowski B, Reyes C, Hedberg C, Ward C, Schwarz C, Reyes D, Gunter J, Moore-Weiss J, Kantarci K, Matoush L, Senjem M, Vemuri P, Reid R, Malone I, Thomopoulos S, Nir T, Jahanshad N, Knaack A, Fletcher E, Harvey D, Tosun-Turgut D, Rossi Chen S, Choe M, Crawford K, Yushkevich P, Das S, Jagust W, Landau S, Koeppe R, Rabinovici G, Villemagne V, LoPresti B, Perrin R, Morris J, Franklin E, Bernhardt H, Cairns N, Taylor-Reinwald L, Shaw L, Lee E, Lee V, Korecka M, Brylska M, Wan Y, Trojanowki J, Toga A, Crawford K, Neu S, Saykin A, Nho K, Foroud T, Jo T, Risacher S, Craft H, Apostolova L, Nudelman K, Faber K, Potter Z, Lacy K, Kaddurah-Daouk R, Shen L, Karlawish J, Erickson C, Grill J, Largent E, Harkins K, Weiner M, Thal L, Kachaturian Z, Frank R, Snyder P, Buckholtz N, Hsiao J, Ryan L, Molchan S, Khachaturian Z, Carrillo M, Potter W, Barnes L, Bernard M, González H, Ho C, Hsiao J, Jackson J, Masliah E, Masterman D, Okonkwo O, Perrin R, Ryan L, Silverberg N, Silbert L, Kaye J, White S, Pierce A, Thomas A, Clay T, Schwartz D, Devereux G, Taylor J, Ryan J, Nguyen M, DeCapo M, Shang Y, Schneider L, Munoz C, Ferman D, Conant C, Martin K, Oleary K, Pawluczyk S, Trejo E, Dagerman K, Teodoro L, Becerra M, Fairooz M, Garrison S, Boudreau J, Avila Y, Brewer J, Jacobson A, Gama A, Kim C, Little E, Frascino J, Ferng N, Trujillo S, Heidebrink J, Koeppe R, MacDonald S, Malyarenko D, Ziolkowski J, O’Connor J, Robert N, Lowe S, Rogers V, Petersen R, Hackenmiller B, Boeve B, Albers C, Kreuger C, Jones D, Knopman D, Botha H, Magnuson J, Graff-Radford J, Crawley K, Schumacher M, McKinzie S, Smith S, Helland T, Lowe V, Ramanan V, Pavlik V, Faircloth J, Bishop J, Nath J, Chaudhary M, Kataki M, Yu M, Pacini N, Barker R, Brooks R, Aggarwal R, Honig L, Stern Y, Mintz A, Cordona J, Hernandez M, Long J, Arnold A, Groves A, Middleton A, Vogler B, McCurry C, Mayo C, Raji C, Amtashar F, Klemp H, Elmore H, Ruszkiewicz J, Kusuran J, Stewart J, Horenkamp J, Greeson J, Wever K, Vo K, Larkin K, Rao L, Schoolcraft L, Gallagher L, Paczynski M, McMillan M, Holt M, Gagliano N, Henson R, LaBarge R, Swarm R, Munie S, Cepeda S, Winterton S, Hegedus S, Wilson T, Harte T, Bonacorsi Z, Geldmacher D, Watkins A, Barger B, Smelser B, Bates C, Stover C, McKinley E, Ikner G, Hendrix H, Cooper H, Mahaffey J, Booth Robbins L, Brown Ashley L, Natelson-Love M, Carter P, Solomon V, Grossman H, Groome A, Ardolino A, Kaplan A, Sheppard F, Burgos-Rivera G, Garcia-Camilo G, Lim J, Neugroschl J, Jackson K, Evans K, Soleimani L, Sano M, Ghesani N, Binder S, Apuango X, Sood A, Troutman A, Blanchard K, Richards A, Nelson G, Hendrickson K, Yurko E, Plenge J, Rufo V, Shah R, Duara R, Lynch B, Chirinos C, Dittrich C, Campbell D, Mejia D, Perez G, Colvee H, Gonzalez J, Gondrez J, Knaack J, Acevedo M, Cereijo M, Greig-Custo M, Villar M, Wishnia M, Detling S, Barker W, Albert M, Moghekar A, Rodzon B, Demsky C, Pontone G, Pekar J, Farrington L, Pomper M, Johnson N, Alo T, Sadowski M, Ulysse A, Masurkar A, Marti B, Mossa D, Geesey E, Petrocca E, Schulze E, Wong J, Boonsiri J, Kenowsky S, Martinez T, Briglall V, Doraiswamy P, Nwosu A, Adhikari A, Hellegers C, Petrella J, James O, Wong T, Hawk T, Vaishnavi S, McCoubrey H, Nasrallah I, Rovere R, Maneval J, Robinson E, Rivera F, Uffelman J, Combs M, O’Donnell P, Manning S, King R, Nieto A, Glueck A, Mandal A, Swain A, Gamble B, Meacham B, Forenback D, Ross D, Cheatham E, Hartman E, Cornell G, Harp J, Ashe L, Goins L, Watts L, Yazell M, Mandal P, Buckler R, Vincent S, Rudd T, Lopez O, Malia A, Chiado C, Zik C, Ruszkiewicz J, Savage K, Fenice L, Oakley M, Tacey P, Berman S, Bowser S, Hegedus S, Saganis X, Porsteinsson A, Mathewson A, Widman A, Holvey B, Clark E, Morales E, Young I, Ruszkiewicz J, Hopkins K, Martin K, Kowalski N, Hunt R, Calzavara R, Kurvach R, D’Ambrosio S, Thai G, Vides B, Lieb B, McAdams-Ortiz C, Toso C, Mares I, Moorlach K, Liu L, Corona M, Nguyen M, Tallakson M, McDonnell M, Rangel M, Basheer N, Place P, Romero R, Tam S, Nguyen T, Thomas A, Frolov A, Khera A, Browning A, Kelley B, Dawson C, Mathews D, Most E, Phillips E, Nguyen L, Nunez M, Miller M, Jones M, Martinez N, Logan R, McColl R, Pham S, Fox T, Moore T, Levey A, Brown A, Kippels A, Ellison A, Lyons C, Hales C, Parry C, Williams C, McCorkle E, Harris G, Rose H, Jooma I, Al-Amin J, Lah J, Webster J, Swiniarski J, Chapman L, Donnelly L, Mariotti L, Locke M, Vaughn P, Penn R, Carpentier S, Yeboah S, Basadre S, Malakauskas S, Lyron S, Villinger T, Burney T, Burns J, Abusalim A, Dahlgren A, Montero A, Arthur A, Dooly H, Kreszyn K, Berner K, Gillen L, Scanlan M, Madison M, Mathis N, Switzer P, Townley R, Fikru S, Sullivan S, Wright E, Beigi M, Daley A, Ko A, Luong B, Nyborg G, Morales J, Durbin K, Garcia L, Parand L, Macias L, Monserratt L, Farchi M, Wu P, Hernandez R, Rodriguez T, Graff-Radford N, Marolt A, Thomas A, Aloszka D, Moncayo E, Westerhold E, Day G, Chrestensen K, Imhansiemhonehi M, McKinzie S, Stephens S, Grant S, Brosch J, Perkins A, Saunders A, Kovac D, Polson H, Mwaura I, Mejia K, Britt K, King K, Nichols K, Lawrence K, Rankin L, Farlow M, Wiesenauer P, Bryant R, Herring S, Lynch S, Wilson S, Day T, Korst W, van Dyck C, Mecca A, Miller A, Brennan A, Khan A, Ruan A, Gunnoud C, Mendonca C, Raynes-Goldfinger D, Salardini E, Hidalgo E, Cooper E, Singh E, Murphy E, May J, Stanhope J, Lam J, Waszak J, Nelsen K, Sacaza K, Hasbani M, Donahue M, Chen M, Barcelos N, Eigenberger P, Bonomi R, O’Dell R, Jefferson S, Khasnavis S, Smilowitz S, DeStefano S, Good S, Camarro T, Clayton V, Cavrel Y, Lu Y, Chertkow H, Bergman H, Hosein C, Black S, Kapadia A, Bhan A, Lam B, Scott C, Gabriel G, Bray J, Zotovic L, Gutierrez M, Masellis M, Farshadi M, Gui M, Mitchell M, Taylor R, Endre R, Taghi-Zada Z, Hsiung R, English C, Kim E, Yau E, Tong H, Barlow L, Jennings L, Assaly M, Nunes P, Marian T, Kertesz A, Rogers J, Trost D, Wint D, Bernick C, Munic D, Grant I, Korkoyah A, Raja A, Lapins A, Ryan C, Pejic J, Basham K, Lukose L, Haddad L, Quinlan L, Houghtaling N, Sadowsky C, Martinez W, Villena T, Reynolds B, Forero A, Ward C, Brennan E, Figueroa E, Esposito G, Mallory J, Johnson K, Turner K, Seidenberg K, McCann K, Bassett M, Chadwick M, Turner R, Bean R, Sharma S, Marshall G, Haviari A, Pietras A, Wallace B, Munro C, Rivera-Delpin G, Hustead H, Levesque I, Ramirez J, Nolan K, Glennon K, Palou M, Erkkinen M, DaSilva N, Friedman P, Silver R, Salazar R, Polleys R, McGinnis S, Gale S, Hall T, Luu T, Chao S, Lin E, Coleman J, Epperson K, Vasanawala M, Atri A, Rangel A, Evans B, Monarrez C, Cline C, Liebsack C, Bandy D, Goldfarb D, Intorcia D, Olgin J, Clark K, King K, York K, Reade M, Callan M, Glass M, Johnson M, Gutierrez M, Goddard M, Trncic N, Choudhury P, Reyes P, Lowery S, Hall S, Olgin S, de Santiago S, Alosco M, Ton A, Jimenez A, Ellison A, Tran A, Anderson B, Carter D, Veronelli D, Lenio S, Steinberg E, Mez J, Weller J, Johns J, Mez J, Harkins J, Puleio A, Hoti I, Mwicigi J, Puleio A, Alosco M, Schultz O, Lauture M, Steinberg E, Denis R, Killiany R, Singh S, Lenio S, Qiu W, Devis Y, Obisesan T, Stone A, Ordor D, Udodong I, Okonkwo I, Khan J, Turner J, Hughes K, Kadiri O, Duffy C, Moss A, Stapleton K, Toth M, Sanders M, Ayres M, Hamski M, Fatica P, Ogrocki P, Ash S, Pot S, Chen D, Soto A, Tanase C, Bissig D, Vanya H, Russell H, Patel H, Zhang H, Wallace K, Ayers K, Gallegos M, Forloines M, Sinn M, Kahulugan Q, Isip R, Calderon S, Hamm T, Borrie M, Lee T, Bartha R, Johnson S, Asthana S, Carlsson C, Perrin A, Tariot P, Fleisher A, Reeder S, Capote H, Emborsky A, Mattle A, Ajtai B, Wagner B, Myers B, Slazyk D, Fragale D, Fransen E, Macnamara H, Falletta J, Hirtreiter J, Mechtler L, King M, Asbach M, Rainka M, Zawislak R, Wisniewski S, O’Malley S, Jimenez-Knight T, Peehler T, Aladeen T, Bates V, Wenner V, Elmalik W, Scharre D, Ramamurthy A, Bouchachi S, Kataki M, Tarawneh R, Kelley B, Celmins D, Leader A, Figueroa C, Bauerle H, Patterson K, Reposa M, Presto S, Ahmed T, Stewart W, Pearlson G, Blank K, Anderson K, Santulli R, Schwartz E, Williamson J, Jessup A, Williams A, Duncan C, O’Connell A, Gagnon K, Zamora E, Bateman J, Crawford F, Thompson D, Walker E, Rowell J, White M, Ledford P, Bohlman S, Henkle S, Bottoms J, Moretz L, Hoover B, Shannon M, Rogers S, Baker W, Harrison W, Wu C, DeMarco A, Stipanovich A, Arcuri D, Clark J, Davis J, Doyon K, Amoyaw M, Acosta M, Bailey R, Warren S, Fogerty T, Sanborn V, Riddle M, Salloway S, Malloy P, Correia S, Windon C, Blackburn M, Rosen H, Miller B, Smith A, Mba I, Echevarria J, Janavs J, Roglaski E, Yong M, Devine R, Okhravi H, Rivera E, Kalowsky T, Smith C, Rosario C, Masdeu J, Le R, Gurung M, Sabbagh M, Garcia A, Ellis Slaughter M, Elayan N, Acothley S, Pomara N, Hernando R, Pomara V, Reichert C, Brawman-Mintzer O, Acree A, Williams A, Long C, Long R, Newhouse P, Hill S, Boegel A, Seshadri S, Saklad A, Jones F, Hu W, Sotelo V, Gonazalez Rojas Y, Mintzer J, Flynn Longmire C, Spicer K. Deep learning to quantify the pace of brain aging in relation to neurocognitive changes. Proceedings Of The National Academy Of Sciences Of The United States Of America 2025, 122: e2413442122. PMID: 39993207, PMCID: PMC11912385, DOI: 10.1073/pnas.2413442122.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAgingAlzheimer DiseaseBrainCognitionCross-Sectional StudiesDeep LearningFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedConceptsCN adultsBrain agingNeuroanatomical agingLongitudinal modelAdverse cognitive changesChronological ageAlzheimer's diseaseNeurocognitive agingCognitive changesNeurocognitive changesCognitive functionNeurocognitive statusAssociated with changesAge trendsLongitudinal MRIAdultsBrainQuantify DNA methylationAD risk assessmentBlood-brain barrierBrain-wide pleiotropy investigation of alcohol drinking and tobacco smoking behaviors
Deiana G, He J, Cabrera-Mendoza B, Ciccocioppo R, Napolioni V, Polimanti R. Brain-wide pleiotropy investigation of alcohol drinking and tobacco smoking behaviors. Translational Psychiatry 2025, 15: 61. PMID: 39979292, PMCID: PMC11842717, DOI: 10.1038/s41398-025-03288-5.Peer-Reviewed Original ResearchConceptsImaging-derived phenotypesBrain imaging-derived phenotypesAlcohol drinkingBrain structuresProcessing of social cuesCorrelates of smoking behaviorRelationship of brain structureSequencing Consortium of AlcoholGlobal genetic correlationsSmoking behaviorSuperior longitudinal fasciculusAssociated with smoking initiationTobacco smokeTobacco smoking behaviorLatent causal variable approachesNicotine useBrain regionsPremotor cortexSocial cuesWhite matter hyperintensitiesLongitudinal fasciculusChemosensory processingCortical thicknessMendelian randomizationPleiotropic mechanismsChronotherapeutic intervention targeting emotion regulation brain circuitry, symptoms, and suicide risk in adolescents and young adults with bipolar disorder: a pilot randomised trial
Kim J, Sankar A, Marks R, Carrubba E, Lecza B, Quatrano S, Spencer L, Constable R, Pittman B, Lebowitz E, Silverman W, Swartz H, Blumberg H. Chronotherapeutic intervention targeting emotion regulation brain circuitry, symptoms, and suicide risk in adolescents and young adults with bipolar disorder: a pilot randomised trial. BMJ Mental Health 2025, 28: e301338. PMID: 39971594, PMCID: PMC11840897, DOI: 10.1136/bmjment-2024-301338.Peer-Reviewed Original ResearchConceptsBipolar disorderEmotion regulationSuicide riskBrain circuitryChronotherapeutic interventionsEmotional face stimuliLeft amygdala responseRisk of bipolar disorderTargeting emotion regulationReduce suicide riskHigher suicide riskYoung adultsFunctional MRI dataPost-treatment improvementAmygdala responsePotential intervention targetsEmotion dysregulationMania symptomsMood episodesFace stimuliCircuitry dysfunctionRegulation therapyDaily rhythmsWeekly sessionsSelf-monitoringThe development of an artificial intelligence auto-segmentation tool for 3D volumetric analysis of vestibular schwannomas
Jester N, Singh M, Lorr S, Tommasini S, Wiznia D, Buono F. The development of an artificial intelligence auto-segmentation tool for 3D volumetric analysis of vestibular schwannomas. Scientific Reports 2025, 15: 5918. PMID: 39966622, PMCID: PMC11836447, DOI: 10.1038/s41598-025-88589-x.Peer-Reviewed Original ResearchConceptsGround-truth datasetDice scoreVestibular schwannomaImage processing accuracyVolumetric analysisML-based algorithmsMeasuring tumor sizeMean dice scoreAuto-segmentation toolAccurate AIAI modelsTumor sizeTumor modelVS tumorsTumor growthTesting stageAI-LTumorImage processing softwareClinical practicePatient recruitmentProcessing softwareSchwannomaDatasetManual segmentationMultiple sclerosis diagnosis and its differential diagnosis in patients presenting with type four ‘mirror pattern’ CSF oligoclonal bands
Marastoni D, Sicchieri M, Pizzini F, Scartezzini A, Virla F, Turano E, Anni D, Bertolazzo M, Ziccardi S, Camera V, Tamanti A, Marini M, Lippi G, Bonetti B, Solomon A, Calabrese M. Multiple sclerosis diagnosis and its differential diagnosis in patients presenting with type four ‘mirror pattern’ CSF oligoclonal bands. Journal Of Neurology 2025, 272: 207. PMID: 39954124, PMCID: PMC11829897, DOI: 10.1007/s00415-025-12947-y.Peer-Reviewed Original ResearchMeSH KeywordsAdultDiagnosis, DifferentialFemaleFollow-Up StudiesHumansMagnetic Resonance ImagingMaleMiddle AgedMultiple SclerosisOligoclonal BandsYoung AdultConceptsCentral nervous systemCSF oligoclonal bandsOligoclonal bandsDiagnosis of MSAlternative diagnosesCerebrospinal fluidDemyelinating eventCentral nervous system demyelinating eventMultiple sclerosisInitial central nervous systemOligoclonal banding patternsRadiological follow-upDiagnostic work-upFrequent alternative diagnosesGroup of patientsMethodsSeventy-six patientsCentral nervous system disordersConclusionThe diagnosisMultiple sclerosis diagnosisClinical attacksMRI lesionsParaclinical examinationsDifferential diagnosisFollow-upWork-upNeural, Motivational, and Psychological Measures of Pain Avoidance Predict Future Alcohol Use in Adult Drinkers
Le T, Hughes F, Oba T, Li C. Neural, Motivational, and Psychological Measures of Pain Avoidance Predict Future Alcohol Use in Adult Drinkers. Addiction Biology 2025, 30: e70020. PMID: 39952897, PMCID: PMC11828665, DOI: 10.1111/adb.70020.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcohol DrinkingAvoidance LearningBayes TheoremCravingFemaleGyrus CinguliHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMotivationPainYoung AdultConceptsDorsal anterior cingulate cortexDrinking motivesAlcohol usePsychological measuresPercentage of heavy drinking daysRisk of alcohol use disorderAlcohol use severityAnterior cingulate cortexHeavy drinking daysAlcohol use disorderPain-related psychological measuresParticipants' alcohol usePromote alcohol usePainful electric shocksLevels of drinkingPain sensitivityAlcohol cravingDrinking severityGo/NoGo taskCingulate cortexNeural correlatesDrinking daysUse disorderAdult drinkersOvert actionsAdvanced imaging in the evaluation of lupus arthritis: A systematic literature review and meta-analysis
Tang W, Khalili L, Gong R, Souvignier M, Wang X, Murray S, Chavez G, Nordmann-Gomes A, Geraldino-Pardilla L, Gartshteyn Y, Clancy R, Nikpour M, Askanase A. Advanced imaging in the evaluation of lupus arthritis: A systematic literature review and meta-analysis. Seminars In Arthritis And Rheumatism 2025, 71: 152661. PMID: 39985848, DOI: 10.1016/j.semarthrit.2025.152661.Peer-Reviewed Original ResearchMeSH KeywordsArthritisHand JointsHumansLupus Erythematosus, SystemicMagnetic Resonance ImagingOptical ImagingUltrasonographyWrist JointConceptsMagnetic resonance imagingMSK-USIdentified articlesMeasurement propertiesSystematic literature reviewWork-related disabilityUS synovitisLiterature reviewAdvanced imagingEvaluation of handMSK manifestationsOutcome measuresAdvanced imaging modalitiesSystematic reviewCochrane LibraryMeta-analysisLiterature searchLupus arthritisLupus patientsMSKPooled analysisJoint symptomsImaging abnormalitiesClinical trialsJoint manifestationsUnderstanding depression in autism: the role of subjective perception and anterior cingulate cortex volume
Hao Y, Banker S, Trayvick J, Barkley S, Peters A, Thinakaran A, McLaughlin C, Gu X, Schiller D, Foss-Feig J. Understanding depression in autism: the role of subjective perception and anterior cingulate cortex volume. Molecular Autism 2025, 16: 9. PMID: 39930465, PMCID: PMC11812218, DOI: 10.1186/s13229-025-00638-4.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAmygdalaAutism Spectrum DisorderAutistic DisorderDepressionFemaleGyrus CinguliHumansMagnetic Resonance ImagingMaleOrgan SizePerceptionSocial InteractionYoung AdultConceptsAnterior cingulate cortexAutism spectrum disorderSelf-reported depressionAnterior cingulate cortex volumeCo-occurring depressionAmygdala volumeAutism symptomsSocial functioningCingulate cortex volumeSocial interaction taskSocial interactionSocial interaction behaviorClinically diagnosed depressionHeterogeneity of autism spectrum disorderSubjective perceptionHeightened self-awarenessAutistic young adultsASD adultsDepressive phenotypeSocial deficitsCingulate cortexCross-sectional natureSocial impairmentPrevalence of depressionASD individualsStatic 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 ResearchMeSH KeywordsAdultBrainConnectomeDefault Mode NetworkEntropyFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNerve NetSchizophreniaYoung AdultConceptsSZ 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 conditionsInfant 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 ImagingMaleRespirationSleepDifferential links in 16p11.2 deletion carriers reveal aberrant connections between large-scale networks
Qureshi A, Nielsen J, Sepulcre J. Differential links in 16p11.2 deletion carriers reveal aberrant connections between large-scale networks. Cerebral Cortex 2025, 35: bhae474. PMID: 40007052, PMCID: PMC11859958, DOI: 10.1093/cercor/bhae474.Peer-Reviewed Original ResearchConceptsInferior parietal lobuleSuperior temporal gyrusLarge-scale networksDeletion carriersHeteromodal association areasDifferential linksHypo-connectivitySocial impairmentTemporal gyrusParietal lobulePosterior insulaAssociated with greater communicationAberrant connectivityAssociation areasCingulate sulcusBehavioral changesGlobal coherenceEntangled connectionsSulcusGreater communicationInsulaCingulateGyrusCopy number variationsImpairment
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