2024
Categorical and Dimensional Approaches for Psychiatric Classification and Treatment Targeting: Considerations from Psychosis Biotypes
Clementz B, Assaf M, Sweeney J, Gershon E, Keedy S, Hill S, Ivleva E, Tamminga C, McDowell J, Keshavan M, Gibbons R, Carpenter W, Pearlson G. Categorical and Dimensional Approaches for Psychiatric Classification and Treatment Targeting: Considerations from Psychosis Biotypes. Advances In Neurobiology 2024, 40: 685-723. PMID: 39562461, DOI: 10.1007/978-3-031-69491-2_23.Peer-Reviewed Original ResearchConceptsIdiopathic psychosisBiotype-1Response to clozapineBipolar-Schizophrenia NetworkContinuum of severityReduced physiological responseDSM diagnosesNeurobiological distinctionsCategorical diagnosisSchizophrenia NetworkDiagnostic boundariesSalient stimuliPsychosis diagnosisPsychosis casesPsychiatric classificationPsychosis dataPsychosisBiotype-2Identified biotypesNeural activityIntermediate phenotypesTreatment targetElectrophysiological biomarkersElectrophysiological measurementsMedical modelA spatially constrained independent component analysis jointly informed by structural and functional network connectivity
Fouladivanda M, Iraji A, Wu L, van Erp T, Belger A, Hawamdeh F, Pearlson G, Calhoun V. A spatially constrained independent component analysis jointly informed by structural and functional network connectivity. Network Neuroscience 2024, 1-31. DOI: 10.1162/netn_a_00398.Peer-Reviewed Original ResearchIntrinsic connectivity networksFunctional brain connectivityBrain connectivityStructural connectivityFunctional connectivityIndependent component analysisResting-state functional MRIAnalysis of group differencesBrain functional organizationFunctional network connectivityStructural-functional connectivityNeuroimaging studiesFunctional MRIWhole-brain tractographyGroup differencesRs-fMRIBrain disordersFunctional couplingSchizophreniaStatistical analysis of group differencesSubject levelFunctional organizationConnectivity networksBrainDiffusion-weighted MRIEnhancing cognitive performance prediction by white matter hyperintensity connectivity assessment
Petersen M, Coenen M, DeCarli C, De Luca A, van der Lelij E, Weiner M, Aisen P, Petersen R, 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, Sacrey D, Fockler J, Miller M, Conti C, Kwang W, Jin C, Diaz A, Ashford M, Flenniken D, 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, 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, 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, Virginia Lee M, 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, CrawleyW K, Schumacher M, McKinzie S, Smith S, Helland T, Lowe V, Ramanan V, Pavlik V, Faircloth J, Bishop J, Nath J, ChaudharyP 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, KlempW 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, MunieN S, Cepeda S, WintertonN S, Hegedus S, Wilson T, Harte T, Bonacorsi Z, Geldmacher D, Watkins A, BargerRT B, Smelser B, Bates C, Stover C, McKinley E, Ikner G, Hendrix H, Cooper H, Mahaffey J, Robbins L, 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, HendricksonN 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 Murali 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, NietoN A, Glueck A, Mandal A, Swain A, Gamble B, Beverly Meacham M, Forenback D, Ross D, Cheatham E, Hartman E, Cornell G, Harp J, Ashe L, Goins L, Watts L, Yazell M, Mandal P, BucklerN R, Vincent S, Rudd T, Lopez O, Malia Arlene 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, Iris Young C, Ruszkiewicz J, Hopkins K, Martin K, Kowalski N, Hunt R, Calzavara R, Kurvach R, Stephen D'Ambrosio C, 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, 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Y, Mintzer J, Longmire C, Spicer K, Barkhof F, Benke T, Chen C, Dal-Bianco P, Dewenter A, Duering M, Enzinger C, Ewers M, Exalto L, Fletcher E, Franzmeier N, Hilal S, Hofer E, Koek H, Maier A, Maillard P, McCreary C, Papma J, Pijnenburg Y, Schmidt R, Smith E, Steketee R, van den Berg E, van der Flier W, Venkatraghavan V, Venketasubramanian N, Vernooij M, Wolters F, Xu X, Horn A, Patil K, Eickhoff S, Thomalla G, Biesbroek J, Biessels G, Cheng B. Enhancing cognitive performance prediction by white matter hyperintensity connectivity assessment. Brain 2024, awae315. PMID: 39400198, DOI: 10.1093/brain/awae315.Peer-Reviewed Original ResearchLesion network mappingCognitive performanceCognitive domainsBrain networksWhite matter regionsCognitive disordersCognitive impairmentExtent of cognitive deficitsWMH volumeAssociated with lower cognitive performanceVentral attention networkPredicting cognitive performanceAssociated with cognitive impairmentCurrent cognitive performancePredicting cognitive functionMatter regionsBrain network connectivityLower cognitive performanceMemory clinic patientsCognitive deficitsLanguage functionBrain regionsRisk of cognitive disordersCognitive functionWhite matter hyperintensitiesMRI Signature of α-Synuclein Pathology in Asymptomatic Stages and a Memory Clinic Population
Wisse L, Spotorno N, Rossi M, Grothe M, Mammana A, Tideman P, Baiardi S, Strandberg O, Ticca A, van Westen D, Mattsson-Carlgren N, Palmqvist S, Stomrud E, Parchi P, Hansson O, Weiner M, Aisen P, Petersen R, Jack C, Jagust W, Trojanowki J, Toga A, Beckett L, Green R, Saykin A, Morris J, Perrin R, Shaw L, Khachaturian Z, Carrillo M, Potter W, Barnes L, Bernard M, González H, Ho C, Hsiao J, Jackson J, Masliah E, Masterman D, Okonkwo O, Ryan L, Silverberg N, Fleisher A, Sacrey D, Fockler J, Conti C, Veitch D, Neuhaus J, Jin C, Nosheny R, Ashford M, Flenniken D, Kormos A, Montine T, Rafii M, Raman R, Jimenez G, Donohue M, Gessert D, Salazar J, Zimmerman C, Cabrera Y, Walter S, Miller G, Coker G, Clanton T, Hergesheimer L, Smith S, Adegoke O, Mahboubi P, Moore S, Pizzola J, Shaffer E, Sloan B, Harvey D, Forghanian- Arani A, Borowski B, Ward C, Schwarz C, Jones D, Gunter J, Kantarci K, Senjem M, Vemuri P, Reid R, Fox N, Malone I, Thompson P, Thomopoulos S, Nir T, Jahanshad N, DeCarli C, Knaack A, Fletcher E, Tosun-Turgut D, Chen S, Choe M, Crawford K, Yushkevich P, Das S, Koeppe R, Reiman E, Chen K, Mathis C, Landau S, Cairns N, Householder E, Franklin E, Bernhardt H, Taylor- Reinwald L, Korecka M, Figurski M, Neu S, Nho K, Risacher S, Apostolova L, Shen L, Foroud T, Nudelman K, Faber K, Wilmes K, Thal L, Silbert L, Lind B, Crissey R, Kaye J, Carter R, Dolen S, Quinn J, Schneider L, Pawluczyk S, Becerra M, Teodoro L, Dagerman K, Spann B, Brewer J, Vanderswag H, Ziolkowski J, Heidebrink J, Zbizek-Nulph L, Lord J, Mason S, Albers C, Knopman D, Johnson K, Villaneuva- Meyer J, Pavlik V, Pacini N, Lamb A, Kass J, Doody R, Shibley V, Chowdhury M, Rountree S, Dang M, Stern Y, Honig L, Mintz A, Ances B, Winkfield D, Carroll M, Stobbs-Cucchi G, Oliver A, Creech M, Mintun M, Schneider S, Geldmacher D, Love M, Griffith R, Clark D, Brockington J, Marson D, Grossman H, Goldstein M, Greenberg J, Mitsis E, Shah R, Lamar M, Samuels P, Duara R, Greig-Custo M, Rodriguez R, Albert M, Onyike C, Farrington L, Rudow S, Brichko R, Kielb S, Smith A, Raj B, Fargher K, Sadowski M, Wisniewski T, Shulman M, Faustin A, Rao J, Castro K, Ulysse A, Chen S, Sheikh M, Singleton- Garvin J, Doraiswamy P, Petrella J, James O, Wong T, Borges-Neto S, Karlawish J, Wolk D, Vaishnavi S, Clark C, Arnold S, Smith C, Jicha G, El Khouli R, Raslau F, Lopez O, Oakley M, Simpson D, Porsteinsson A, Martin K, Kowalski N, Keltz M, Goldstein B, Makino K, Ismail M, Brand C, Thai G, Pierce A, Yanez B, Sosa E, Witbracht M, Kelley B, Nguyen T, Womack K, Mathews D, Quiceno M, Levey A, Lah J, Hajjar I, Cellar J, Burns J, Swerdlow R, Brooks W, Silverman D, Kremen S, Tingus K, Lu P, Bartzokis G, Woo E, Teng E, Graff-Radford N, Parfitt F, Poki-Walker K, Farlow M, Hake A, Matthews B, Brosch J, Herring S, van Dyck C, Mecca A, Good S, MacAvoy M, Carson R, Varma P, Chertkow H, Vaitekunis S, Hosein C, Black S, Stefanovic B, Heyn C, Hsiung G, Kim E, Mudge B, Sossi V, Feldman H, Assaly M, Finger E, Pasternak S, Rachinsky I, Kertesz A, Drost D, Rogers J, Grant I, Muse B, Rogalski E, Robson J, Mesulam M, Kerwin D, Wu C, Johnson N, Lipowski K, Weintraub S, Bonakdarpour B, Pomara N, Hernando R, Sarrael A, Rosen H, Miller B, Perry D, Turner R, Johnson K, Reynolds B, MCCann K, Poe J, Sperling R, Johnson K, Marshall G, Yesavage J, Taylor J, Chao S, Coleman J, White J, Lane B, Rosen A, Tinklenberg J, Belden C, Atri A, Clark K, Zamrini E, Sabbagh M, Killiany R, Stern R, Mez J, Kowall N, Budson A, Obisesan T, Ntekim O, Wolday S, Khan J, Nwulia E, Nadarajah S, Lerner A, Ogrocki P, Tatsuoka C, Fatica P, Maillard P, Olichney J, Carmichael O, Bates V, Capote H, Rainka M, Borrie M, Lee T, Bartha R, Johnson S, Asthana S, Carlsson C, Perrin A, Burke A, Scharre D, Kataki M, Tarawneh R, Hart D, Zimmerman E, Celmins D, Miller D, Boles Ponto L, Smith K, Koleva H, Shim H, Nam K, Schtulz S, Williamson J, Craft S, Cleveland J, Yang M, Sink K, Ott B, Drake J, Tremont G, Daiello L, Ritter A, Bernick C, Munic D, O'Connell A, Mintzer J, Wiliams A, Masdeu J, Shi J, Garcia A, Newhouse P, Potkin S, Salloway S, Malloy P, Correia S, Kittur S, Pearlson G, Blank K, Anderson K, Flashman L, Seltzer M, Hynes M, Santulli R, Relkin N, Chiang G, Lee A, Lin M, Ravdin L, Sood A, Blanchard K, Fleischman D, Arfanakis K, Varon D, Greig M, Goldstein B, Martin K, Reist C, Sadowsky C, Martinez W, Villena T, Rosen H, Marshall G, Peskind E, Petrie E, Li G. MRI Signature of α-Synuclein Pathology in Asymptomatic Stages and a Memory Clinic Population. JAMA Neurology 2024, 81: 1051-1059. PMID: 39068668, PMCID: PMC11284633, DOI: 10.1001/jamaneurol.2024.2713.Peer-Reviewed Original ResearchMemory clinic populationCI individualsClinical populationsCI populationCross-sectional dataMain OutcomesAlzheimer's Disease Neuroimaging InitiativeCohort studyInclusion criteriaSecondary outcomesPrimary outcomeReplication cohortMagnetic resonance imagingCognitive measuresCohortVoxel-based morphometryAsymptomatic stageCerebrospinal fluidAssociationSeed amplification assaysAlzheimer pathologyCIParticipantsOutcomesIndividualsW74. MULTI-OMICS ANALYSIS OF INTERMEDIATE PHENOTYPES REVEALS NEW RISK GENES AND PATHWAYS IN PSYCHOTIC DISORDERS
Xia C, Alliey-Rodriguez N, Tamminga C, Keshavan M, Pearlson G, Keedy S, Parker D, Bishop J, Chen C, Liu C, Gershon E. W74. MULTI-OMICS ANALYSIS OF INTERMEDIATE PHENOTYPES REVEALS NEW RISK GENES AND PATHWAYS IN PSYCHOTIC DISORDERS. European Neuropsychopharmacology 2024, 87: 141-142. DOI: 10.1016/j.euroneuro.2024.08.283.Peer-Reviewed Original ResearchTranscriptome-wide association studyGenome-wide complex trait analysisPotential causal genesQuantitative Trait LociRisk genesEvent-related potentialsPolygenic risk scoresIntermediate phenotypesGene OntologyCase-control statusPsychotic disordersComplex trait analysisGenotype principal componentsIdentified risk genesGenetic correlationsMulti-omics analysisMendelian randomizationPRS-CSxPsychosis risk genesCausal genesAssociation studiesGenomic characteristicsDetect significant associationsGene associationsBipolar-Schizophrenia NetworkLocal-structure-preservation and redundancy-removal-based feature selection method and its application to the identification of biomarkers for schizophrenia
Xing Y, Pearlson G, Kochunov P, Calhoun V, Du Y. Local-structure-preservation and redundancy-removal-based feature selection method and its application to the identification of biomarkers for schizophrenia. NeuroImage 2024, 299: 120839. PMID: 39251116, PMCID: PMC11491165, DOI: 10.1016/j.neuroimage.2024.120839.Peer-Reviewed Original ResearchConceptsSelection methodClassification accuracy gainsGraph-based regularizationHigh-dimensional dataFeature selection methodLocal structural informationSparse regularizationAblation studiesFeature subsetPublic datasetsFeature selectionClassification accuracyExperimental evaluationAccuracy gainsSelection techniquesNetwork connectivityData transformationSuperior performanceDatasetConvergence analysisStructural informationClassificationRegularizationFeaturesDisorder predictionA randomized clinical trial to evaluate feasibility, tolerability, and preliminary target engagement for a novel executive working memory training in adolescents with ADHD
Sullivan A, Anderson J, Beatty M, Choi J, Jaccard J, Hawkins K, Pearlson G, Stevens M. A randomized clinical trial to evaluate feasibility, tolerability, and preliminary target engagement for a novel executive working memory training in adolescents with ADHD. Behaviour Research And Therapy 2024, 181: 104615. PMID: 39173523, PMCID: PMC11465636, DOI: 10.1016/j.brat.2024.104615.Peer-Reviewed Original ResearchExecutive working memoryAttention-deficit/hyperactivity disorderWorking memory trainingMemory trainingExecutive working memory taskIncreased working memory capacityMedium effect size improvementsEffect size improvementsSelf-rated motivationIntervention participantsTarget engagementTrial retentionWorking memoryAttention-deficit/hyperactivityDifficulty manipulationPlacebo-controlled studyMemory capacityTask accuracySize improvementsMemory contentIntervention tolerabilityTraining targetBehavioral changesPrimary outcome measureCoaching sessionsAssociation between race and ethnicity and delirium incidence in acute care
Dicks R, Choi J, Waszynski C, Taylor B, Sukhera J, Charpentier J, O'Sullivan D, Pearlson G. Association between race and ethnicity and delirium incidence in acute care. Journal Of The American Geriatrics Society 2024 PMID: 39142901, DOI: 10.1111/jgs.19134.Peer-Reviewed Original Research4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia
Pusuluri K, Fu Z, Miller R, Pearlson G, Kochunov P, Van Erp T, Iraji A, Calhoun V. 4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia. Human Brain Mapping 2024, 45: e26773. PMID: 39045900, PMCID: PMC11267451, DOI: 10.1002/hbm.26773.Peer-Reviewed Original ResearchConceptsBrain networksFunctional magnetic resonance imagingAssociated with cognitive performanceDynamics of functional brain networksAssociated with cognitionFunctional brain networksVoxel-wise changesVolumetric couplingDynamical variablesCognitive performanceTypical controlsSchizophreniaCognitive impairmentNetwork pairsMagnetic resonance imagingPair of networksCognitionAtypical variabilityResonance imagingCouplingNetwork connectivityNetwork growthImpairmentBrainStatic networksGyrification across psychotic disorders: A bipolar-schizophrenia network of intermediate phenotypes study
Rychagov N, Del Re E, Zeng V, Oykhman E, Lizano P, McDowell J, Yassin W, Clementz B, Gershon E, Pearlson G, Sweeney J, Tamminga C, Keshavan M. Gyrification across psychotic disorders: A bipolar-schizophrenia network of intermediate phenotypes study. Schizophrenia Research 2024, 271: 169-178. PMID: 39032429, PMCID: PMC11384321, DOI: 10.1016/j.schres.2024.07.009.Peer-Reviewed Original ResearchBipolar-Schizophrenia NetworkPsychotic disordersDSM-IVIntermediate Phenotypes studyGyrification changesSchizophrenia compared to controlsBipolar I disorderRight cingulate cortexSchizoaffective disorder probandsBipolar disorder probandsDisorders compared to controlsAge-related differencesSchizoaffective disorderCingulate cortexVerbal memoryBipolar disorderAge-related changesFalse discovery rate correctionSchizophreniaCortical gyrificationHypogyriaFrontal lobeGyrificationDisordersHealthy controlsNeurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithm
Jiang Y, Luo C, Wang J, Palaniyappan L, Chang X, Xiang S, Zhang J, Duan M, Huang H, Gaser C, Nemoto K, Miura K, Hashimoto R, Westlye L, Richard G, Fernandez-Cabello S, Parker N, Andreassen O, Kircher T, Nenadić I, Stein F, Thomas-Odenthal F, Teutenberg L, Usemann P, Dannlowski U, Hahn T, Grotegerd D, Meinert S, Lencer R, Tang Y, Zhang T, Li C, Yue W, Zhang Y, Yu X, Zhou E, Lin C, Tsai S, Rodrigue A, Glahn D, Pearlson G, Blangero J, Karuk A, Pomarol-Clotet E, Salvador R, Fuentes-Claramonte P, Garcia-León M, Spalletta G, Piras F, Vecchio D, Banaj N, Cheng J, Liu Z, Yang J, Gonul A, Uslu O, Burhanoglu B, Uyar Demir A, Rootes-Murdy K, Calhoun V, Sim K, Green M, Quidé Y, Chung Y, Kim W, Sponheim S, Demro C, Ramsay I, Iasevoli F, de Bartolomeis A, Barone A, Ciccarelli M, Brunetti A, Cocozza S, Pontillo G, Tranfa M, Park M, Kirschner M, Georgiadis F, Kaiser S, Van Rheenen T, Rossell S, Hughes M, Woods W, Carruthers S, Sumner P, Ringin E, Spaniel F, Skoch A, Tomecek D, Homan P, Homan S, Omlor W, Cecere G, Nguyen D, Preda A, Thomopoulos S, Jahanshad N, Cui L, Yao D, Thompson P, Turner J, van Erp T, Cheng W, Feng J. Neurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithm. Nature Communications 2024, 15: 5996. PMID: 39013848, PMCID: PMC11252381, DOI: 10.1038/s41467-024-50267-3.Peer-Reviewed Original ResearchConceptsGray matter changesDisorder constructsEnlarged striatumPsychiatric conditionsMental disordersSubcortical regionsSchizophreniaBiological foundationsMatter changesBrain imagingStriatumDisordersBiological factorsIndividualsSubtypesHealthy subjectsCross-sectional brain imagingHippocampusTemporal trajectoriesInternational cohortSubgroup 2Subgroup 1SubgroupsDisentangling negative and positive symptoms in schizophrenia and autism spectrum disorder
Corbera S, Wexler B, Bell M, Pittman B, Pelphrey K, Pearlson G, Assaf M. Disentangling negative and positive symptoms in schizophrenia and autism spectrum disorder. Schizophrenia Research 2024, 271: 1-8. PMID: 39002525, PMCID: PMC11384336, DOI: 10.1016/j.schres.2024.07.002.Peer-Reviewed Original ResearchAutism spectrum disorderPositive and Negative Syndrome ScaleAutism Diagnostic Observation Schedule-GenericExperiential negative symptomsPositive symptomsNegative symptomsExploratory factor analysisSpectrum disorderNegative Syndrome ScaleTarget negative symptomsSyndrome ScaleDiscriminant function analysisSZ relativesAssociated with quality of lifeSchizophreniaSocial skillsSocial functioningDiagnostic classificationAutismFactor analysisAssociated with qualityPredictor of diagnosisSymptomsDisordersQuality of lifeAssociation between the oral microbiome and brain resting state connectivity in schizophrenia
Lin D, Fu Z, Liu J, Perrone-Bizzozero N, Hutchison K, Bustillo J, Du Y, Pearlson G, Calhoun V. Association between the oral microbiome and brain resting state connectivity in schizophrenia. Schizophrenia Research 2024, 270: 392-402. PMID: 38986386, DOI: 10.1016/j.schres.2024.06.045.Peer-Reviewed Original ResearchOral microbiomeMicrobial speciesArea under curveResting-state functional magnetic resonance imagingFunctional magnetic resonance imagingMicrobial 16S rRNA sequencingBrain circuit dysfunctionHealthy controlsBrain functional connectivity alterationsFunctional connectivity alterationsFunctional neuroimaging techniquesHypothalamic-pituitary-adrenal axisBrain functional connectivityFunctional network connectivityBrain functional activityBrain functional network connectivityHealthy control subjectsNeurotransmitter signaling pathwaysBeta diversityMicrobiome communitiesOral microbiome dysbiosisRRNA sequencingCircuit dysfunctionConnectivity alterationsSchizophreniaEvidence from comprehensive independent validation studies for smooth pursuit dysfunction as a sensorimotor biomarker for psychosis
Meyhoefer I, Sprenger A, Derad D, Grotegerd D, Leenings R, Leehr E, Breuer F, Surmann M, Rolfes K, Arolt V, Romer G, Lappe M, Rehder J, Koutsouleris N, Borgwardt S, Schultze-Lutter F, Meisenzahl E, Kircher T, Keedy S, Bishop J, Ivleva E, McDowell J, Reilly J, Hill S, Pearlson G, Tamminga C, Keshavan M, Gershon E, Clementz B, Sweeney J, Hahn T, Dannlowski U, Lencer R. Evidence from comprehensive independent validation studies for smooth pursuit dysfunction as a sensorimotor biomarker for psychosis. Scientific Reports 2024, 14: 13859. PMID: 38879556, PMCID: PMC11180169, DOI: 10.1038/s41598-024-64487-6.Peer-Reviewed Original ResearchConceptsSmooth pursuit eye movementsPsychosis syndromePursuit eye movementsNon-psychotic bipolar disorderNon-psychotic affective disorderEye movementsSmooth pursuit dysfunctionMultivariate pattern analysisHealthy controlsPsychiatric sampleNeurobiological markersPsychosis probandsPsychotic syndromesAffective disordersPsychosis researchBipolar disorderPsychosis statusPsychosisSensorimotor functionSensorimotor measuresIndividual levelSensorimotor dysfunctionSensorimotorDisordersPattern analysisTowards cascading genetic risk in Alzheimer’s disease
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Towards cascading genetic risk in Alzheimer’s disease. Brain 2024, 147: 2680-2690. PMID: 38820112, PMCID: PMC11292901, DOI: 10.1093/brain/awae176.Peer-Reviewed Original ResearchConceptsLate-onset Alzheimer's diseaseAlzheimer's diseaseGenetic riskDevelopment of late-onset Alzheimer's diseaseGenome-wide association studiesPolygenic riskAlzheimer's Disease Neuroimaging Initiative cohortPolygenic risk scoresStage-dependent fashionAssociation studiesYears of educationCox proportional hazards modelsAPOE effectsProportional hazards modelA+TContribution of apoEAPOE-e4Targeted interventionsMolecular processesATN frameworkE4 homozygotesRisk scoreStage-dependent effectsInitiative cohortAlzheimerDouble Functionally Independent Primitives Provide Disorder Specific Fingerprints of Mental Illnesses
Soleimani N, Pearlson G, Iraji A, Calhoun V. Double Functionally Independent Primitives Provide Disorder Specific Fingerprints of Mental Illnesses. 2024, 00: 1-4. DOI: 10.1109/isbi56570.2024.10635116.Peer-Reviewed Original ResearchAutism spectrum disorderMental illnessBipolar disorderMental disordersManifestations of mental illnessAssociated with mental illnessFunctional network connectivityFunctional network connectivity patternsNetwork connectivity patternsDisorder-specificDepressive disorderNeural underpinningsSpectrum disorderPsychological disordersNeuroimaging techniquesConnectivity patternsDisordersSchizophreniaHealthy controlsIllnessBrainFunctional changesMDDAutismNetwork connectivityA confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer’s disease using resting-state functional network connectivity
Hassanzadeh R, Abrol A, Pearlson G, Turner J, Calhoun V. A confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer’s disease using resting-state functional network connectivity. PLOS ONE 2024, 19: e0293053. PMID: 38768123, PMCID: PMC11104643, DOI: 10.1371/journal.pone.0293053.Peer-Reviewed Original ResearchConceptsResting-state functional network connectivityFunctional network connectivityResting-state functional magnetic resonance imagingFunctional magnetic resonance imagingAlzheimer's diseaseClassification of schizophreniaNetwork pairsPatients to healthy controlsSchizophrenia patientsNeurobiological mechanismsSZ patientsSubcortical networksCerebellum networkSchizophreniaRs-fMRIDisorder developmentMotor networkCompare patient groupsSubcortical domainSZ disorderHealthy controlsMagnetic resonance imagingDisordersNetwork connectivityFunctional abnormalities499. Identification of a Composite Latent Dimension of Reward and Impulsivity Across Clinical, Behavioral and Neurobiological Domains Among Youth
Kohler R, Lichenstein S, Cheng R, Holmes A, Bzdok D, Pearlson G, Yip S. 499. Identification of a Composite Latent Dimension of Reward and Impulsivity Across Clinical, Behavioral and Neurobiological Domains Among Youth. Biological Psychiatry 2024, 95: s303. DOI: 10.1016/j.biopsych.2024.02.998.Peer-Reviewed Original Research75. Executive Working Memory Intervention Reduces Motor Activity in Adolescents With Attention-Deficit Hyperactivity Disorder
Beatty M, Sullivan A, Anderson J, Choi J, Pearlson G, Hawkins K, Bond D, Stevens M. 75. Executive Working Memory Intervention Reduces Motor Activity in Adolescents With Attention-Deficit Hyperactivity Disorder. Biological Psychiatry 2024, 95: s130. DOI: 10.1016/j.biopsych.2024.02.310.Peer-Reviewed Original Research73. Preliminary Efficacy Findings for a Placebo Controlled Randomized Clinical Trial of a Novel Executive Working Memory Training Intervention for Adolescents With ADHD
Sullivan A, Anderson J, Beatty M, Choi J, Jaccard J, Pearlson G, Stevens M. 73. Preliminary Efficacy Findings for a Placebo Controlled Randomized Clinical Trial of a Novel Executive Working Memory Training Intervention for Adolescents With ADHD. Biological Psychiatry 2024, 95: s129. DOI: 10.1016/j.biopsych.2024.02.308.Peer-Reviewed Original Research