2025
Quantifying associations between socio-spatial factors and cognitive development in the ABCD cohort
Osayande N, Marotta J, Aggarwal S, Kopal J, Holmes A, Yip S, Bzdok D. Quantifying associations between socio-spatial factors and cognitive development in the ABCD cohort. Nature Computational Science 2025, 5: 221-233. PMID: 40114020, DOI: 10.1038/s43588-025-00774-0.Peer-Reviewed Original ResearchConceptsAdolescent Brain Cognitive Development StudyCognitive developmentUS Census dataCognitive Development StudyBayesian multilevel regressionPost-stratificationSocio-spatial factorsSociodemographic disparitiesSocioeconomic statusABCD cohortSociodemographic variablesBayesian multilevel modelsQuantify associationsInter-individual differencesMultilevel regressionPublic healthMultilevel modelsCensus dataInterpretation of model predictionsDemographic groupsDevelopment studiesHolistic explanationHomogeneous representationModeling frameworkMounting demandCurrent interpretations of the I-PACE model of behavioral addictions.
Brand M, Müller A, Wegmann E, Antons S, Brandtner A, Müller S, Stark R, Steins-Loeber S, Potenza M. Current interpretations of the I-PACE model of behavioral addictions. Journal Of Behavioral Addictions 2025, 14: 1-17. PMID: 40063161, DOI: 10.1556/2006.2025.00020.Peer-Reviewed Original ResearchConceptsI-PACE modelI-PACEBehavioral addictionsInteraction of Person-Affect-Cognition-ExecutionBehavioral addiction researchCue-reactivityDesire thinkingCompulsive behaviorsExecutive functionAddictive behaviorsNegative reinforcementAddiction researchPermissive beliefsAddiction theoryAddiction fieldSelf-controlAddictionCravingEmpirical findingsTheory buildingClinical careStimulate researchGratificationBehaviorContext of changesDeep 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 ResearchConceptsCN adultsBrain agingNeuroanatomical agingLongitudinal modelAdverse cognitive changesChronological ageAlzheimer's diseaseNeurocognitive agingCognitive changesNeurocognitive changesCognitive functionNeurocognitive statusAssociated with changesAge trendsLongitudinal MRIAdultsBrainQuantify DNA methylationAD risk assessmentBlood-brain barrierProfile of non-invasive physical health indicators associated with cognitive performance in Chinese older adults: evidence from the China Health and Retirement Longitudinal Study
Wei X, Li C, Liu D, Chen J, Ju Y, Liu J, Liu B, Zhang Y. Profile of non-invasive physical health indicators associated with cognitive performance in Chinese older adults: evidence from the China Health and Retirement Longitudinal Study. BMC Public Health 2025, 25: 420. PMID: 39894807, PMCID: PMC11789399, DOI: 10.1186/s12889-025-21479-z.Peer-Reviewed Original ResearchConceptsPhysical health indicatorsHealth indicatorsMild cognitive impairmentOlder adultsChina HealthCognitive performanceRight grip strengthChinese older adultsScreening of cognitive declineCognitive domainsLongitudinal cohort designCognitive performance domainsSubgroup analysisDomains of cognitive performancePhysical functionBackgroundExisting studiesGrip strengthCohort designLinear regression modelsMultiple linear regression modelStandardised interviewMethodsThe present studyResultsPulmonary functionSex-specific factorsGeneral cognitionEarly-life cognitively stimulating activities and late-life cognitive function in the St. Louis Baby Tooth Later Life Health Study
Roberts A, Qiu X, McAlaine K, Germine L, Rotem R, Weisskopf M. Early-life cognitively stimulating activities and late-life cognitive function in the St. Louis Baby Tooth Later Life Health Study. Scientific Reports 2025, 15: 2105. PMID: 39814743, PMCID: PMC11736041, DOI: 10.1038/s41598-024-79083-x.Peer-Reviewed Original ResearchConceptsCognitively stimulating activitiesVisual short-term memoryCognitive functionWorking memoryShort-term memoryProcessing speedTests of crystallized intelligenceAssociated with specific cognitive domainsSpecific cognitive domainsVisual working memoryAssociated with higher cognitive functionOverall cognitive functionHigher cognitive functionsAssociated with overall cognitionLate-life cognitive functionAssociated with higher cognitive scoresCognitive controlEpisodic memoryVerbal reasoningCognitive domainsHigher cognitive scoresSustained attentionAssociated with activationOverall cognitionCognitive testsResilience and Vulnerability: Suicide-Specific Cognitions in a Nationally Representative Sample of US Military Veterans.
Fischer I, Nichter B, Trachik B, Bryan C, Pietrzak R. Resilience and Vulnerability: Suicide-Specific Cognitions in a Nationally Representative Sample of US Military Veterans. The Primary Care Companion For CNS Disorders 2025, 27 PMID: 39823445, DOI: 10.4088/pcc.24m03821.Peer-Reviewed Original ResearchConceptsSuicide-specific cognitionsNationally representative sampleUS military veteransSuicide riskMilitary veteransActivities of daily livingNational Health and ResilienceSample of US military veteransSuicide Cognitions ScalePrevalence of veteransPositive psychological traitsReduce suicide riskAdverse childhood experiencesDaily livingPsychosocial characteristicsSocial supportVeterans StudyUS veteransSuicidal behaviorSuicidal ideationCognitive scalesRepresentative samplePsychological traitsElevated riskSocial connectednessMapping patterns of thought onto brain activity during movie-watching
Wallace R, Mckeown B, Goodall-Halliwell I, Chitiz L, Forest P, Karapanagiotidis T, Mulholland B, Turnbull A, Vanderwal T, Hardikar S, Alam T, Bernhardt B, Wang H, Strawson W, Milham M, Xu T, Margulies D, Poerio G, Jefferies E, Skipper J, Wammes J, Leech R, Smallwood J. Mapping patterns of thought onto brain activity during movie-watching. ELife 2025, 13: rp97731. PMID: 39792001, PMCID: PMC11723579, DOI: 10.7554/elife.97731.Peer-Reviewed Original ResearchConceptsBrain activityMovie-watchingAssociation cortexTime course of brain activityRegions of association cortexDynamics of brain activityRegions of sensory cortexProcessing of incoming sensory informationBrain systemsFrontoparietal systemBrain mechanismsNeural processesEpisodic featuresReduce distractionsSensory cortexCortexExperiment samplesSensory informationBrainVisual cortexMulti-modal experienceDistractionTime courseContemporary viewsDaily lifeIntegrated healthy lifestyle even in late-life mitigates cognitive decline risk across varied genetic susceptibility
Wang J, Chen C, Zhou J, Xu Z, Xu L, Li X, Zhong Z, Lv Y, Shi X. Integrated healthy lifestyle even in late-life mitigates cognitive decline risk across varied genetic susceptibility. Nature Communications 2025, 16: 539. PMID: 39789005, PMCID: PMC11718162, DOI: 10.1038/s41467-024-55763-0.Peer-Reviewed Original ResearchConceptsFavorable lifestyleRate of cognitive declineGenetic riskCognitive declineUnfavorable lifestyleHealthy lifestyleAssociations of combined lifestyle factorsChinese Longitudinal Healthy Longevity SurveyCombined lifestyle factorsHigh genetic riskDimensions of cognitionCognitive decline riskAccelerated cognitive declineLongevity SurveyLifestyle factorsCognitive domainsLate-lifeOlder adultsCognitive functionDeclining riskLifestyleGenetic susceptibilityGenetic factorsRiskCognitionAssociations among rearing environment and the infant gut microbiome with early-life neurodevelopment and cognitive development in a nonhuman primate model (Macaca mulatta)
Daiy K, Wiley K, Allen J, Bailey M, Dettmer A. Associations among rearing environment and the infant gut microbiome with early-life neurodevelopment and cognitive development in a nonhuman primate model (Macaca mulatta). Journal Of Developmental Origins Of Health And Disease 2025, 16: e1. PMID: 39781670, PMCID: PMC11731890, DOI: 10.1017/s2040174424000400.Peer-Reviewed Original ResearchConceptsMother-peer-rearedNursery-rearedEmotional responsesInfant gut microbiomeCognitive developmentGut microbiomeNonhuman primate modelInfant emotional responsivenessLow emotional responsivenessInfant rhesus monkeysNeonatal neurobehavioral assessmentGut microbiome alpha diversityReward associationsCognitive flexibilityPattern of microbial compositionGut microbiome developmentPrimate modelCognitive functionImpact brainDifferential abundance analysisMicrobiome alpha diversityBehavioral developmentMotor maturityVisual orientationFactor analysisNeural Variability and Cognitive Control in Individuals With Opioid Use Disorder
Ye J, Mehta S, Peterson H, Ibrahim A, Saeed G, Linsky S, Kreinin I, Tsang S, Nwanaji-Enwerem U, Raso A, Arora J, Tokoglu F, Yip S, Hahn C, Lacadie C, Greene A, Constable R, Barry D, Redeker N, Yaggi H, Scheinost D. Neural Variability and Cognitive Control in Individuals With Opioid Use Disorder. JAMA Network Open 2025, 8: e2455165. PMID: 39821393, PMCID: PMC11742521, DOI: 10.1001/jamanetworkopen.2024.55165.Peer-Reviewed Original ResearchConceptsDecreased cognitive controlCognitive controlOpioid use disorderCueing paradigmResting-stateHC participantsUse disorderBrain statesBrain dynamicsHealthy controlsNeural mechanismsCognitive processesNeural variabilityFMRIBehavioral implicationsImpaired abilityBrainAccuracy scoresMagnetic resonance imagingDynamic alterationsParticipantsCase-control studyDisordersParadigmImpacts millionsExposure to School Racial Segregation and Late-Life Cognitive Outcomes
Lin Z, Wang Y, Gill T, Chen X. Exposure to School Racial Segregation and Late-Life Cognitive Outcomes. JAMA Network Open 2025, 8: e2452713. PMID: 39752159, PMCID: PMC11699536, DOI: 10.1001/jamanetworkopen.2024.52713.Peer-Reviewed Original ResearchConceptsCross-sectional studyCognitive scoresOlder adultsTelephone Interview for Cognitive StatusBlack participantsLate-life cognitive outcomesWhite participantsSchool racial segregationCognitive impairmentHealth and Retirement StudyNon-Hispanic whitePrevalence of cognitive impairmentAssociated with late-life cognitionEducational attainmentUS older adultsLikelihood of cognitive impairmentNon-Hispanic blacksLate-life cognitionCognitive outcomesNationally representative sampleLater-life cognitionMultilevel regression analysisStudy of BlackDementia occurrenceHealth inequalities
2024
Association between personality and cognitive bias in adults with and without depression
Liu B, Wang M, Wang H, Feng Y, Ju Y, Sun J, Lu X, Dong Q, Zhang L, Wan P, Guo H, Zhao F, Liu J, Zhang Y, Li L. Association between personality and cognitive bias in adults with and without depression. BMC Psychology 2024, 12: 779. PMID: 39719656, PMCID: PMC11669241, DOI: 10.1186/s40359-024-02293-5.Peer-Reviewed Original ResearchConceptsCognitive Bias QuestionnaireMDD groupCognitive biasesNeuroticism traitPersonality traitsHealthy controlsBiased cognitive processesPersonality Factor QuestionnaireMeasure personality traitsMeasuring cognitive biasesPersistence of depressionHierarchical regression analysisDepressive disorderBackgroundCognitive biasesCognitive processesMDDPsychiatric hospitalNeuroticismDepression contextFactor QuestionnaireCognitive biasBias responsesDepressionPersonsClinical perspectiveNeuroimaging Correlates of the NIH-Toolbox-Driven Cognitive Metrics in Children
Acosta-Rodriguez H, Yuan C, Bobba P, Stephan A, Zeevi T, Malhotra A, Tran A, Kaltenhauser S, Payabvash S. Neuroimaging Correlates of the NIH-Toolbox-Driven Cognitive Metrics in Children. Journal Of Integrative Neuroscience 2024, 23: 217. PMID: 39735971, PMCID: PMC11851640, DOI: 10.31083/j.jin2312217.Peer-Reviewed Original ResearchConceptsCognitive composite scoreAdolescent Brain Cognitive DevelopmentFluid cognition composite scoresStructural magnetic resonance imagingComposite scoreDiffusion tensor imagingNeuroimaging correlatesCognitive functionRs-fMRINational Institutes of Health (NIH) Toolbox Cognition BatteryCognitive scoresMicrostructural integrityResting-state functional connectivityCrystallized cognition composite scoreCortical surface areaTotal cognitive scoreWM microstructural integrityCognitive batteryCrystallized cognitionNeuroanatomical correlatesWhite matterCognitive performanceNeuroimaging metricsFunctional connectivityNeuroimaging dataEffects of gene dosage on cognitive ability: A function-based association study across brain and non-brain processes
Huguet G, Renne T, Poulain C, Dubuc A, Kumar K, Kazem S, Engchuan W, Shanta O, Douard E, Proulx C, Jean-Louis M, Saci Z, Mollon J, Schultz L, Knowles E, Cox S, Porteous D, Davies G, Redmond P, Harris S, Schumann G, Dumas G, Labbe A, Pausova Z, Paus T, Scherer S, Sebat J, Almasy L, Glahn D, Jacquemont S. Effects of gene dosage on cognitive ability: A function-based association study across brain and non-brain processes. Cell Genomics 2024, 4: 100721. PMID: 39667348, PMCID: PMC11701252, DOI: 10.1016/j.xgen.2024.100721.Peer-Reviewed Original ResearchConceptsCopy-number variantsGenome-wide association studiesAssociation studiesCognitive abilitiesBiological processesEffect of gene dosageNeurodevelopmental disordersAssociated with cognitionHigher cognitive performanceGene dosageGene setsAssociated with higher cognitive performanceCognitive performanceGenesCell typesEffect sizeCognitionDeletionDuplicationDisordersNon-brain tissuesMedical comorbiditiesAbilityVariantsBrainSculpting new visual categories into the human brain
Iordan C, Ritvo V, Norman K, Turk-Browne N, Cohen J. Sculpting new visual categories into the human brain. Proceedings Of The National Academy Of Sciences Of The United States Of America 2024, 121: e2410445121. PMID: 39625982, PMCID: PMC11648923, DOI: 10.1073/pnas.2410445121.Peer-Reviewed Original ResearchConceptsHuman brainCategory of visual objectsReal-time functional MRIDomains of cognitionExplicit awarenessNeural biasFunctional MRINeural representationPerceptual distinctivenessVisual categoriesVisual objectsActivity patternsBrainMotor controlResearch paradigmVisual knowledgeParticipantsControl categoryCognitionNeurofeedbackMemoryLearningParadigmCategoriesDecision-makingA function-based mapping of sensory integration along the cortical hierarchy
Wei W, Benn R, Scholz R, Shevchenko V, Klatzmann U, Alberti F, Chiou R, Wassermann D, Vanderwal T, Smallwood J, Margulies D. A function-based mapping of sensory integration along the cortical hierarchy. Communications Biology 2024, 7: 1593. PMID: 39613829, PMCID: PMC11607388, DOI: 10.1038/s42003-024-07224-z.Peer-Reviewed Original ResearchConceptsPrimary sensory signalsCognitive functionSensory integrationHigher-order cognitive functionsSensory information processingSensory signalsFunctional decodingTransmodal regionsPercentage of varianceCognitive demandsSensory processingHuman cognitionCortical hierarchyBrain statesSensory modalitiesInformation processingSensory magnitudeSensory informationPrimary cortexIntegrity changesFMRICognitionCortexBrainCognition in patients with mild autonomous cortisol secretion at baseline and post-adrenalectomy
Saini J, Nathani R, Singh S, Ebbehoj A, Thangamuthu K, Suresh M, Zhang C, Nevin S, Fell V, Atkinson E, Achenbach S, Stricker N, Bancos I. Cognition in patients with mild autonomous cortisol secretion at baseline and post-adrenalectomy. European Journal Of Endocrinology 2024, 191: 636-645. PMID: 39671564, PMCID: PMC11662234, DOI: 10.1093/ejendo/lvae157.Peer-Reviewed Original ResearchConceptsMild autonomous cortisol secretionReference subjectsT-scorePost-adrenalectomyBeck Depression InventoryComposite T-scoreAutonomous cortisol secretionSF-36Urine steroid profileImpact of adrenalectomyFrailty indexCross-sectional studyShort Form-36Longitudinal cohort studyNational Institutes of Health Toolbox Cognition BatteryCohort studyMultivariate analysisSteroid profileLower cognitionCortisol secretionPatientsAssociated with lower cognitionStandardized T scoresAdrenalectomyCognitive batteryLong-term cognitive effects of menopausal hormone therapy: Findings from the KEEPS Continuation Study
Gleason C, Dowling N, Kara F, James T, Salazar H, Simo C, Harman S, Manson J, Hammers D, Naftolin F, Pal L, Miller V, Cedars M, Lobo R, Malek-Ahmadi M, Kantarci K. Long-term cognitive effects of menopausal hormone therapy: Findings from the KEEPS Continuation Study. PLOS Medicine 2024, 21: e1004435. PMID: 39570992, PMCID: PMC11581397, DOI: 10.1371/journal.pmed.1004435.Peer-Reviewed Original ResearchConceptsOral conjugated equine estrogenLatent growth modelingLong-term cognitive effectsCognitive factor scoresCognitive benefitsCognitive performanceFactor scoresBaseline cognitionFollow-upClinical trialsEarly postmenopauseIn-person research visitsYears of follow-upRandomized to placeboMenopausal hormone therapyGlobal cognitive scoreNeuroimaging effectsCognitive measuresCognitive harmLongitudinal cohort studyCognitive changesCognitive slopesCognitive dataTest batteryCognitive functionA Method for Multimodal IVA Fusion Within a MISA Unified Model Reveals Markers of Age, Sex, Cognition, and Schizophrenia in Large Neuroimaging Studies
Silva R, Damaraju E, Li X, Kochunov P, Ford J, Mathalon D, Turner J, van Erp T, Adali T, Calhoun V. A Method for Multimodal IVA Fusion Within a MISA Unified Model Reveals Markers of Age, Sex, Cognition, and Schizophrenia in Large Neuroimaging Studies. Human Brain Mapping 2024, 45: e70037. PMID: 39560198, PMCID: PMC11574741, DOI: 10.1002/hbm.70037.Peer-Reviewed Original ResearchConceptsMultimodal neuroimaging datasetSchizophrenia patientsNeuroimaging studiesCognitive performanceGroup differencesSchizophreniaSex effectsNeuroimaging datasetsMagnetic resonance imagingCognitionAge-associated declineControl subjectsMarkers of agingResonance imagingNon-imaging variablesSubject profilesSexNeuroimagingUK Biobank datasetGeneralizable and replicable brain-based predictions of cognitive functioning across common psychiatric illness
Chopra S, Dhamala E, Lawhead C, Ricard J, Orchard E, An L, Chen P, Wulan N, Kumar P, Rubenstein A, Moses J, Chen L, Levi P, Holmes A, Aquino K, Fornito A, Harpaz-Rotem I, Germine L, Baker J, Yeo B, Holmes A. Generalizable and replicable brain-based predictions of cognitive functioning across common psychiatric illness. Science Advances 2024, 10: eadn1862. PMID: 39504381, PMCID: PMC11540040, DOI: 10.1126/sciadv.adn1862.Peer-Reviewed Original ResearchConceptsPrediction of cognitionCognitive functionPrediction of cognitive functionFunctional neuroimaging dataTransdiagnostic sampleComputational psychiatryPsychiatric illnessNeuroimaging dataCognitive impairmentCognitionPopulation-level datasetsPsychiatryAssociated with poor outcomesUK BiobankImpairmentBrainIllnessSymptomsPrediction studiesParticipantsPoor outcomeClinical studiesSamples
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