About
Titles
Associate Research Scientist
Research
Research at a Glance
Yale Co-Authors
Frequent collaborators of James Brewer's published research.
Publications Timeline
A big-picture view of James Brewer's research output by year.
Howard Feldman, MD, FRCPC, FAAN (Neurology)
Christopher van Dyck, MD
Stephen Strittmatter, MD, PhD, AB
10Publications
137Citations
Publications
2024
APOE 4‐related blood–brain barrier breakdown is associated with microstructural abnormalities
Reas E, Solders S, Tsiknia A, Triebswetter C, Shen Q, Rivera C, Andrews M, Alderson‐Myers A, Brewer J. APOE 4‐related blood–brain barrier breakdown is associated with microstructural abnormalities. Alzheimer's & Dementia 2024 PMID: 39411970, DOI: 10.1002/alz.14302.Peer-Reviewed Original ResearchAltmetricConceptsAPOE4 carriersAlzheimer's diseaseAmyloid-negative individualsAmyloid-betaAmyloid-positive individualsApoE4AD cascadeAmyloidBlood-brain barrierAPOE 4Magnetic resonance imagingBrain microstructureAbsence of cognitive declinePreclinical ADLinear regression assessed associationsAmyloid positivityNeurodegenerative changesCortical gray matterCognitive declineMicrostructural abnormalitiesAssociated with microstructural abnormalitiesCognitive statusApoNeurodegenerationOlder adultsMemory-related brain potentials for visual objects in early AD show impairment and compensatory mechanisms
Xia J, Kutas M, Salmon D, Stoermann A, Rigatuso S, Farias S, Edland S, Brewer J, Olichney J. Memory-related brain potentials for visual objects in early AD show impairment and compensatory mechanisms. Cerebral Cortex 2024, 34: bhae398. PMID: 39390709, DOI: 10.1093/cercor/bhae398.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsEvent-related brain potentialsAmnestic mild cognitive impairmentHippocampal occupancyBrain potentialsMemory abilityNegative ERP effectExecutive function abilitiesVisual memory abilityImpaired episodic memoryVerbal memory abilitiesAlzheimer's diseaseInvestigate neural mechanismsObject recognition taskVisual object recognitionVisual object recognition taskCognitively unimpaired participantsMild cognitive impairmentERP effectsNeuropsychological measuresExecutive functionEpisodic memoryHippocampal functionCompensatory mechanismsVisual memoryNeural mechanismsOvercoming Barriers to Latino Participation in Alzheimer's Disease Research.
Ramirez K, Gigliotti C, Little E, Peavy G, Evans C, Paredes A, Pacheco-Cole L, Zlatar Z, Jacobs D, Gollan T, González H, Soria-Lopez J, Huisa B, Brewer J, Galasko D, Salmon D. Overcoming Barriers to Latino Participation in Alzheimer's Disease Research. The International Journal Of Aging And Human Development 2024, 914150241268259. PMID: 39149977, DOI: 10.1177/00914150241268259.Peer-Reviewed Original ResearchAltmetricConceptsCommunity advisory boardLatino participantsCommunity-based participatory researchAlzheimer's Disease Research CenterADRD researchOlder LatinosParticipatory researchLatino individualsOvercome barriersADRDSan Diego CountyLatino populationAdvisory boardAlzheimer's disease researchIncreased participationProgrammatic changesLatinosBlood drawParticipantsAlzheimer's diseaseDisease researchBarriersLumbar punctureAlzheimerResearch CenterWhole genome‐wide sequence analysis of long‐lived families (Long‐Life Family Study) identifies MTUS2 gene associated with late‐onset Alzheimer's disease
Xicota L, Cosentino S, Vardarajan B, Mayeux R, Perls T, Andersen S, Zmuda J, Thyagarajan B, Yashin A, Wojczynski M, Krinsky‐McHale S, Handen B, Christian B, Head E, Mapstone M, Schupf N, Lee J, Barral S, Study T, Abner E, Adams P, Aguirre A, Albert M, Albin R, Allen M, Alvarez L, Andrews H, Apostolova L, Arnold S, Asthana S, Atwood C, Ayres G, Barber R, Barnes L, Barral S, Bartlett J, Beach T, Becker J, Beecham G, Benchek P, Bennett D, Bertelson J, Biber S, Bird T, Blacker D, Boeve B, Bowen J, Boxer A, Brewer J, Burke J, Burns J, Bush W, Buxbaum J, Byrd G, Cantwell L, Cao C, Carlsson C, Carrasquillo M, Chan K, Chasse S, Chen Y, Chesselet M, Chin N, Chui H, Chung J, Craft S, Crane P, Cranney M, Cruchaga C, Cuccaro M, Culhane J, Cullum C, Darby E, Davis B, De Jager P, DeCarli C, DeToledo J, Dickson D, Dobbins N, Duara R, Ertekin‐Taner N, Evans D, Faber K, Fairchild T, Fallin D, Fallon K, Fardo D, Farlow M, Farrell J, Farrer L, Fernandez‐Hernandez V, Foroud T, Frosch M, Galasko D, Gamboa A, Gauthreaux K, Gefen T, Geschwind D, Ghetti B, Gilbert J, Goate A, Grabowski T, Graff‐Radford N, Griswold A, Haines J, Hakonarson H, Hall K, Hall J, Hamilton R, Hamilton‐Nelson K, Han X, Harari O, Hardy J, Harrell L, Head E, Henderson V, Hernandez M, Honig L, Huebinger R, Huentelman M, Hulette C, Hyman B, Hynan L, Ibanez L, Jarvik G, Jayadev S, Jin L, Johnson K, Johnson L, Jones B, Jun G, Kamboh M, Kang M, Karydas A, Katz M, Kauwe J, Kaye J, Keene C, Keller B, Khaleeq A, Kim R, Knebl J, Kowall N, Kramer J, Kukull W, Kunkle B, Kuzma A, LaFerla F, Lah J, Larson E, Lerch M, Lerner A, Leung Y, Leverenz J, Levey A, Lieberman A, Lipton R, Lopez O, Lunetta K, Lyketsos C, Mains D, Manly J, Mark L, Marquez D, Marson D, Martin E, Masliah E, Massman P, Masurkar A, Mayeux R, McCormick W, McCurry S, McDonough S, McKee A, Mesulam M, Mez J, Miller B, Miller C, Mock C, Moghekar A, Montine T, Monuki E, Mooney S, Morris J, Mukherjee S, Myers A, Naj A, Nguyen T, Noble J, Nudelman K, O'Bryant S, Ormsby K, Ory M, Palmer R, Parisi J, Paulson H, Pavlik V, Paydarfar D, Perez V, Pericak‐Vance M, Petersen R, Polk M, Qu L, Quiceno M, Quinn J, Raj A, Rajabli F, Ramanan V, Reiman E, Reisch J, Reitz C, Ringman J, Roberson E, Rodriguear M, Rogaeva E, Rosen H, Rosenberg R, Royall D, Sano M, Saykin A, Schellenberg G, Schneider J, Schneider L, Seeley W, Sherva R, Shibata D, Small S, Smith A, Smith J, Song Y, Spina S, St George‐Hyslop P, Stern R, Stevens A, Strittmatter S, Sultzer D, Swerdlow R, Teich A, Tilson J, Tosto G, Trojanowski J, Troncoso J, Tsuang D, Valladares O, Van Deerlin V, Van Dyck C, Van Eldik L, Vance J, Vardarajan B, Vassar R, Vinters H, Wang L, Weintraub S, Welsh‐Bohmer K, Wheeler N, Wijsman E, Wilhelmsen K, Williams B, Williamson J, Wilms H, Wingo T, Wisniewski T, Woltjer R, Woon M, Younkin S, Yu L, Zhao Y, Zhou X, Zhu C, Aizenstein H, Ances B, Andrews H, Bell K, Birn R, Brickman A, Bulova P, Cheema A, Chen K, Christian B, Clare I, Cohen A, Constantino J, Doran E, Fagan A, Feingold E, Foroud T, Handen B, Harp J, Hartley S, Head E, Henson R, Hom C, Honig L, Ikonomovic M, Johnson S, Jordan C, Kamboh M, Keator D, Klunk W, Kofler J, Krinsky‐McHale S, Lai F, Lao P, Laymon C, Lee J, Lott I, Lupson V, Mapstone M, Mathis C, Minhas D, Nadkarni N, O'Bryant S, Parisi M, Pang D, Petersen M, Price J, Pulsifer M, Rafii M, Reiman E, Rizvi B, Rosas H, Ryan L, Schmitt F, Schupf N, Silverman W, Tudorascu D, Tumuluru R, Varadarajan B, White D, Yassa M, Zaman S, Zhang F. Whole genome‐wide sequence analysis of long‐lived families (Long‐Life Family Study) identifies MTUS2 gene associated with late‐onset Alzheimer's disease. Alzheimer's & Dementia 2024, 20: 2670-2679. PMID: 38380866, PMCID: PMC11032545, DOI: 10.1002/alz.13718.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsLate-onset Alzheimer's diseaseGenes associated with late-onset Alzheimer's diseaseLate-onset Alzheimer's disease riskSeveral single nucleotide polymorphismsVariants associated with late-onset Alzheimer diseaseBeta-amyloidIdentified several single nucleotide polymorphismsWhole-genome sequence analysisGenome sequence analysisLevels of beta-amyloidAlzheimer's diseaseTight linkage disequilibriumMicrotubule associated proteinSingle nucleotide polymorphismsFamily studiesCandidate lociMTUS2Linkage disequilibriumSequence analysisAssociation analysisNucleotide polymorphismsGenetic associationAlzheimer's dementiaAssociated proteinGenetic component
2023
Number of completed exercise sessions is associated with slower brain atrophy in MCI over 12 months in the EXERT trial
Digma L, Aslanyan V, Brewer J, Bevins E, Katula J, Chmelo E, Hodge H, LaCroix A, Shadyab A, Jacobs D, Salmon D, Feldman H, Pa J, Baker L. Number of completed exercise sessions is associated with slower brain atrophy in MCI over 12 months in the EXERT trial. Alzheimer's & Dementia 2023, 19 DOI: 10.1002/alz.079285.Peer-Reviewed Original ResearchConceptsSupervised exercise sessionsBrain atrophyExercise sessionsAlzheimer's Disease Cooperative StudyLess brain atrophySupervised exercise interventionLower dementia riskLate-life exerciseAmount of exerciseInferior lateral ventricleExercise armExercise interventionDementia riskBaseline ageCDR-SBAerobic trainingLateral ventricleHigh adherenceIntervention adherenceNumber of sessionsVentricular expansionExercise typePlasma Aβ42/40Amnestic MCICognitive declineCSF tau markers are associated with fine memory discrimination in older adults with amnestic MCI in the EXERT trial
Fenton L, Aslanyan V, Jacobs D, Salmon D, Brewer J, Rissman R, Feldman H, Shadyab A, LaCroix A, Baker L, Pa J. CSF tau markers are associated with fine memory discrimination in older adults with amnestic MCI in the EXERT trial. Alzheimer's & Dementia 2023, 19 DOI: 10.1002/alz.080157.Peer-Reviewed Original ResearchConceptsAmnestic mild cognitive impairmentMemory discriminationOlder adultsMemory testLogical memoryHippocampal volumeAuditory Verbal Learning TestLogical memory testVerbal Learning TestBehavioral pattern separationVerbal memory testsMedial temporal lobeLarger hippocampal volumesMemory measuresList learningStory recallLearning TestObject taskMemory assessmentCognitive performanceMild cognitive impairmentPattern separationCognitive AssessmentStructural brain imagesTemporal lobeLATE-NC risk alleles (in TMEM106B, GRN, and ABCC9 genes) among persons with African ancestry.
Katsumata Y, Fardo D, Shade L, Bowen J, Crane P, Jarvik G, Keene C, Larson E, McCormick W, McCurry S, Mukherjee S, Kowall N, McKee A, Honig R, Lawrence S, Vonsattel J, Williamson J, Small S, Burke J, Hulette C, Welsh-Bohmer K, Gearing M, Lah J, Levey A, Wingo T, Apostolova L, Farlow M, Ghetti B, Saykin A, Spina S, Albert M, Lyketsos C, Troncoso J, Frosch M, Green R, Growdon J, Hyman B, Tanzi R, Potter H, Dickson D, Ertekin-Taner N, Graff-Radford N, Parisi J, Petersen R, Duara R, Buxbaum J, Goate A, Sano M, Masurkar A, Wisniewski T, Bigio E, Mesulam M, Weintraub S, Vassar R, Kaye J, Quinn J, Woltjer R, Barnes L, Bennett D, Schneider J, Yu L, Henderson V, Fallon K, Harrell L, Marson D, Roberson E, DeCarli C, Jin L, Olichney J, Kim R, LaFerla F, Monuki E, Head E, Sultzer D, Geschwind D, Vinters H, Chesselet M, Galasko D, Brewer J, Boxer A, Karydas A, Kramer J, Miller B, Rosen H, Seeley W, Burns J, Swerdlow R, Abner E, Fardo D, Van Eldik L, Albin R, Lieberman A, Paulson H, Arnold S, Trojanowski J, Van Deerlin V, Hamilton R, Kamboh M, Lopez O, Becker J, Cao C, Raj A, Smith A, Chui H, Miller C, Ringman J, Schneider L, Bird T, Sonnen J, Yu C, Grabowski T, Peskind E, Raskind M, Li G, Tsuang D, Asthana S, Atwood C, Carlsson C, Sager M, Chin N, Craft S, Cairns N, Morris J, Cruchaga C, Strittmatter S, Reiman E, Beach T, Huentelman M, Hardy J, Myers A, Kauwe J, Hakonarson H, Blacker D, Montine T, Baldwin C, Farrer L, Jun G, Lunetta K, Bush W, Haines J, Lerner A, Zhou X, Barral S, Reitz C, Vardarajan B, Mayeux R, Beecham G, Carney R, Cuccaro M, Gilbert J, Hamilton-Nelson K, Kunkle B, Martin E, Pericak-Vance M, Vance J, Cantwell L, Kuzma A, Malamon J, Naj A, Qu L, Schellenberg G, Valladares O, Wang L, Zhao Y, Leverenz J, De Jager P, Evans D, Katz M, Lipton R, Boeve B, Allen M, Carrasquillo M, Younkin S, Kukull W, Faber K, Foroud T, Pavlik V, Massman P, Darby E, Rodriguear M, Khaleeq A, Royall D, Stevens A, Ory M, DeToledo J, Wilms H, Johnson K, Perez V, Hernandez M, Wilhelmsen K, Tilson J, Chasse S, Barber R, Fairchild T, O’Bryant S, Knebl J, Hall J, Johnson L, Mains D, Alvarez L, Gamboa A, Paydarfar D, Bertelson J, Woon M, Ayres G, Aguirre A, Palmer R, Polk M, Adams P, Huebinger R, Reisch J, Rosenberg R, Cullum M, Williams B, Quiceno M, Hynan L, Smith J, Davis B, Nguyen T, Rogaeva E, George-Hyslop P, Nelson P. LATE-NC risk alleles (in TMEM106B, GRN, and ABCC9 genes) among persons with African ancestry. Journal Of Neuropathology & Experimental Neurology 2023, 82: 760-768. PMID: 37528055, PMCID: PMC10440720, DOI: 10.1093/jnen/nlad059.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsSingle nucleotide variantsLimbic-predominant age-related TDP-43 encephalopathyAfrican ancestryRisk allelesIndividuals of African ancestryRisk-associated allelesTDP-43 proteinopathyGenetic risk factorsNucleotide variantsAllele frequenciesGenetic determinantsGenomics ConsortiumPersons of African ancestryTDP-43AllelesAncestryNational Alzheimer's Coordinating CenterDisease pathologyGenetic factorsNeuropathological featuresGRNAfrican American subjectsHippocampal sclerosisABCC9HS pathology
2018
Precision medicine screening using whole-genome sequencing and advanced imaging to identify disease risk in adults
Perkins B, Caskey C, Brar P, Dec E, Karow D, Kahn A, Hou Y, Shah N, Boeldt D, Coughlin E, Hands G, Lavrenko V, Yu J, Procko A, Appis J, Dale A, Guo L, Jönsson T, Wittmann B, Bartha I, Ramakrishnan S, Bernal A, Brewer J, Brewerton S, Biggs W, Turpaz Y, Venter J. Precision medicine screening using whole-genome sequencing and advanced imaging to identify disease risk in adults. Proceedings Of The National Academy Of Sciences Of The United States Of America 2018, 115: 3686-3691. PMID: 29555771, PMCID: PMC5889622, DOI: 10.1073/pnas.1706096114.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsMeSH KeywordsAdultAgedAged, 80 and overCardiovascular DiseasesDiseaseFemaleGenetic Predisposition to DiseaseHigh-Throughput Nucleotide SequencingHumansImage Processing, Computer-AssistedMaleMiddle AgedMutationNeoplasmsNervous System DiseasesPrecision MedicineRisk AssessmentSequence Analysis, RNAWhole Genome SequencingYoung AdultConceptsChronic disease riskPremature mortalitySymptom-free adultsAge-related chronic diseasesDisease riskDual-energy X-ray absorptiometryChronic diseasesPrecision medicine screeningsAssociated with premature mortalityFamily medical historyStudy of screeningAdvanced imagingWhole-genome sequencingClinical testingActive adultsMedicine screeningX-ray absorptiometryImprove preventionHealthy lifeCardiac rhythm monitoringWhole-body MRIBlood testsCardiovascular diseaseVariant interpretationAdults
2015
Resveratrol is safe and well-tolerated in individuals with mild-moderate dementia due to Alzheimer’s disease. (S33.009)
Turner R, Thomas R, Craft S, van Dyck C, Mintzer J, Reynolds B, Brewer J, Rissman R, Raman R, Aisen P. Resveratrol is safe and well-tolerated in individuals with mild-moderate dementia due to Alzheimer’s disease. (S33.009). Neurology 2015, 84 DOI: 10.1212/wnl.84.14_supplement.s33.009.Peer-Reviewed Original ResearchCitations
2012
Predicting missing biomarker data in a longitudinal study of Alzheimer disease
Lo R, Jagust W, Aisen P, Jack C, Toga A, Beckett L, Gamst A, Soares H, C. Green R, Montine T, Thomas R, Donohue M, Walter S, Dale A, Bernstein M, Felmlee J, Fox N, Thompson P, Schuff N, Alexander G, DeCarli C, Bandy D, Chen K, Morris J, Lee V, Korecka M, Crawford K, Neu S, Harvey D, Kornak J, Saykin A, Foroud T, Potkin S, Shen L, Buckholtz N, Kaye J, Dolen S, Quinn J, Schneider L, Pawluczyk S, Spann B, Brewer J, Vanderswag H, Heidebrink J, Lord J, Petersen R, Johnson K, Doody R, Villanueva-Meyer J, Chowdhury M, Stern Y, Honig L, Bell K, Morris J, Mintun M, Schneider S, Marson D, Griffith R, Clark D, Grossman H, Tang C, Marzloff G, Toledo-Morrell L, Shah R, Duara R, Varon D, Roberts P, Albert M, Pedroso J, Toroney J, Rusinek H, de Leon M, De Santi S, Doraiswamy P, Petrella J, Aiello M, Clark C, Pham C, Nunez J, Smith C, Given C, Hardy P, Lopez O, Oakley M, Simpson D, Ismail M, Brand C, Richard J, Mulnard R, Thai G, Mc-Adams-Ortiz C, Diaz-Arrastia R, Martin-Cook K, DeVous M, Levey A, Lah J, Cellar J, Burns J, Anderson H, Laubinger M, Bartzokis G, Silverman D, Lu P, Graff-Radford MBBCH N, Parfitt F, Johnson H, Farlow M, Herring S, Hake A, van Dyck C, MacAvoy M, Benincasa A, Chertkow H, Bergman H, Hosein C, Black S, Graham S, Caldwell C, Hsiung G, Feldman H, Assaly M, Kertesz A, Rogers J, Trost D, Bernick C, Munic D, Wu C, Johnson N, Mesulam M, Sadowsky C, Martinez W, Villena T, Turner S, Johnson K, Behan K, Sperling R, Rentz D, Johnson K, Rosen A, Tinklenberg J, Ashford W, Sabbagh M, Connor D, Jacobson S, Killiany R, Norbash A, Nair A, Obisesan T, Jayam-Trouth A, Wang P, Lerner A, Hudson L, Ogrocki P, DeCarli C, Fletcher E, Carmichael O, Kittur S, Mirje S, Borrie M, Lee T, Bartha D, Johnson S, Asthana S, Carlsson C, Potkin S, Preda A, Nguyen D, Tariot P, Fleisher A, Reeder S, Bates V, Capote H, Rainka M, Hendin B, Scharre D, Kataki M, Zimmerman E, Celmins D, Brown A, Gandy S, Marenberg M, Rovner B, Pearlson G, Anderson K, Saykin A, Santulli R, Englert J, Williamson J, Sink K, Watkins F, Ott B, Wu C, Cohen R, Salloway S, Malloy P, Correia S, Rosen H, Miller B, Mintzer J. Predicting missing biomarker data in a longitudinal study of Alzheimer disease. Neurology 2012, 78: 1376-1382. PMID: 22491869, PMCID: PMC3345787, DOI: 10.1212/wnl.0b013e318253d5b3.Peer-Reviewed Original ResearchCitationsAltmetricMeSH KeywordsAlzheimer DiseaseAmyloid beta-PeptidesBiomarkersCognitive DysfunctionCohort StudiesDementia, VascularFluorodeoxyglucose F18HomocysteineHumansLogistic ModelsLongitudinal StudiesMagnetic Resonance ImagingNeuropsychological TestsPatient DropoutsPeptide FragmentsPositron-Emission TomographyResearch DesignRisk FactorsTau Proteins