Framingham Heart Study Brain Aging Program to Host Clinical Neuropathology Case Conference
The Framingham Heart Study Brain Aging Program will host its upcoming Clinical Neuropathology Case Conference on April 10, 2026, from 10:00 AM to 12:00 PM.
This interactive session, organize
d by the program’s Clinical and Neuropathology Cores, will feature four compelling cases highlighting clinical history, neuroimaging, and neuropathological findings. Each case will explore the alignment—and at times discrepancy—between clinical diagnoses and neuropathological outcomes, fostering discussion aimed at improving diagnostic accuracy.
These conferences play a vital role in strengthening collaboration between clinical and neuropathology teams, ultimately contributing to more precise assessment methods and advancing future treatments in brain aging and neurodegenerative disease.
The event will be held virtually. Registration is required.
https://bu-hipaa.zoom.us/webinar/register/WN_6WHzlVaCRTKns67a9Sv-EQ#/registration
Examination of potentially modifiable dementia risk factors across the adult life course: The Framingham Heart Study
Hwang PH, Ang TFA, De Anda-Duran I, Liu X, Liu Y, Gurnani A, Mez J, Auerbach S, Joshi P, Yuan J, Devine S, Au R, Liu C. Examination of potentially modifiable dementia risk factors across the adult life course: The Framingham Heart Study. Alzheimers Dement. 2023 Jan 19. doi: 10.1002/alz.12940. Epub ahead of print.
Redefining and Validating Digital Biomarkers as Fluid, Dynamic Multi-Dimensional Digital Signal Patterns
Au R, Kolachalama VB, Paschalidis IC. Redefining and validating digital biomarkers as fluid, dynamic multi-dimensional digital signal patterns. Front Digit Health. 2022; 3:751629.
The impact of increasing levels of blood C-reactive protein on the inflammatory loci SPI1 and CD33 in Alzheimer’s disease
Huang J, Tao Q, Ang TFA, Farrell J, Zhu C, Wang Y, Stein TD, Lunetta KL, Massaro J, Mez J, Au R, Farrer LA, *Qiu WQ and *Zhang X: The impact of increasing levels of blood C-reactive protein on the loci for inflammatory, SPI1 and CD33, for Alzheimer’s disease. Translational Psychiatry. 2022; 12:523.
Weight Patterns over Lifespan May Predict Dementia Risk
Li J., Chunyu L., A. TF Ang, Au, R. Weight Patterns over Lifespan May Predict Dementia Risk. Alzheimer’s Dement.2022;1–8.
African ancestry GWAS of dementia in a large military cohort identifies significant risk loci
Sherva R, Zhang R, Sahelijo N, Jun G, Anglin T, Chanfreau C, Cho K, Fonda JR, Gaziano JM, Harrington KM, Ho YL, Kremen WS, Litkowski E, Lynch J, Neale Z, Roussos P, Marra D, Mez J, Miller MW, Salat DH, Tsuang D, Wolf E, Zeng Q, Panizzon MS, Merritt VC, Farrer LA, Hauger RL, Logue MW. African ancestry GWAS of dementia in a large military cohort identifies significant risk loci. Mol Psychiatry. 2023; 28(3):1293–1302.
Blood levels of MCP-1 modulate the genetic risks of Alzheimer’s disease mediated by HLA-DRB1 and APOE for Alzheimer’s disease
Huang J, Stein TD, Wang Y, Ang TFA, Tao Q, Lunetta KL, Massaro J, Akhter-Khan SC, Mez J, Au R, Farrer LA, Zhang X, Qiu WQ, Alzheimer’s Disease Neuroimaging Initiative. Blood levels of MCP-1 modulate the genetic risks of Alzheimer’s disease mediated by HLA-DRB1 and APOE for Alzheimer’s disease. Alzheimers Dement. 2023. Online ahead of print.
Different loneliness types, cognitive function, and brain structure in midlife: Findings from the Framingham Heart Study
Tao Q, Akhter-Khan SC, Ang TFA, DeCarli C, Alosco ML, Mez J, Killiany R, Devine S, Rokach A, Itchapurapu IS, Zhang X, Lunetta KL, Steffens DC, Farrer LA, Greve DN, Au R, Qiu WQ. The associations of different loneliness types, cognitive function and brain structures in midlife: Findings from the Framingham Heart Study. EClinicalMedicine. 2022; ;53:101643.
Automated detection of mild cognitive impairment and dementia from voice recordings: A natural language processing approach
Amini S, Hao B, Zhang L, Song M, Gupta A, Karjadi C, Kolachalama VB, Au R, Paschalidis IC. Automated detection of mild cognitive impairment and dementia from voice recordings: A natural language processing approach. Alzheimers Dement. 2022. doi: 10.1002/alz.12721. Epub ahead of print. PMID: 35796399.
Genome-wide association and multi-omics studies identify MGMT as a novel risk gene for Alzheimer’s disease among women
Chung J, Das A, Sun X, Sobreira D, Leung YY, Iguarta C, Mozaffari, Chou Y-F, Thiagalingam S, Mez J, Zhang X, Jun GR, Stein TD, Kunkle B, Martin ER, Pericak-Vance MA, Mayeux R, Haines JL, Schellenberg G, Nobrega M, Lunetta KL, Pinto JM, Wang L-S, Ober C, Farrer LA. Genome-wide association and multi-omics studies identify MGMT as a novel risk gene for Alzheimer disease among women. Alzheimer Dement. 2023. Online ahead of print.
Multimodal deep learning for Alzheimer’s disease dementia assessment
Qiu S, Miller MI, Joshi PS, Lee JC, Xue C, Ni Y, Wang Y, De Anda-Duran I, Hwang PH, Cramer JA, Dwyer BC, Hao H, Kaku MC, Kedar S, Lee PH, Mian AZ, Murman DL, O’Shea S, Paul AB, Saint-Hilaire MH, Sartor EA, Saxena AR, Shih LC, Small JE, Smith MJ, Swaminathan A, Takahashi CE, Taraschenko O, You H, Yuan J, Zhou Y, Zhu S, Alosco ML, Mez J, Stein TD, Poston KL, Au R, Kolachalama VB. Multimodal deep learning for Alzheimer’s disease dementia assessment. Nat Commun. 2022;13(1):3404.