The Global Alzheimer's Association Interactive Network

Announcements

GAAIN at AAIC 24 in Philadelphia, PA

Learn more about GAAIN as an Alzheimer's disease data sharing resource at booth #1129 in the exhibit hall at the Alzheimer's Association International Conference from July 28-31, 2024.

Join us at our Featured Research Session at AAIC: "Advances in data and resource sharing in Alzheimer’s disease: Insights from research case studies" on Sunday, July 28 from 8:00 to 8:45 AM Eastern, virtually or in-person at the Pennsylvania Convention Center room 121-ABC.

Register for the conference here and schedule a meeting with a GAAIN representative here .

GAAIN Article in Keck School News

Learn more about how GAAIN is changing the way researchers approach Alzheimer's disease research, featured by the Keck School of Medicine of USC.

New GAAIN Secondary Analysis Manuscript

GAAIN allows for discovery of existing data sets to use in secondary analyses, which resulted in the manuscript "Comparison of genetic and health risk factors for mild cognitive impairment and Alzheimer's disease between Hispanic and non-Hispanic white participants" published in Alzheimer's & Dementia.

World Dementia Council (WDC) Essay Collection

Read about GAAIN in WDC's essay collection, "Global dialogue on data sharing for dementia research: Reflections" and how we are contributing to the worldwide effort of data sharing and dissemination.

Interrogator Update Released

We are pleased to announce the latest release of the Interrogator with several exciting new features! Users can save and reload their work. We’ve used this new functionality to construct a set of highlighted analyses visible to all users. Each of these is linked to a Data Partner publication and reproduces part of the analysis reported in the paper, allowing users to explore these results in the GAAIN environment. These analyses highlight our Data Partner research, and give users several examples of how to use the Interrogator to work with variables, create cohorts, and run preliminary analyses.

Visit the new improved Interrogator at www.gaaindata.org

GAAIN System Tools Tutorial Series and Training

Need assistance with our tools?

Tutorials are available for the GAAIN system tools on the GAAIN YouTube channel to help users navigate the Data Landing Page, Scoreboard, Cohort Scout, and New Interrogator.

Request a training session by emailing info@gaain.org with a few dates and times (note, we are in the Pacific time zone) and we will arrange a web-ex training session.

Media Coverage of New GAAIN Study

A study published in JAMA Neurology used GAAIN data to reexamine the link between age, sex, and Alzheimer's disease risk. Click here to see the buzz this paper is generating and read more in the following publications:

GAAIN featured in AlzForum

“We can use GAAIN to understand the entire landscape of Alzheimer’s disease research and identify places where additional investigation needs to be undertaken. That will be instrumental in advancing our knowledge faster. This is the wave of the future,” Dr. Arthur Toga (GAAIN’s Principal Investigator) said. Read the article here.

PAST EVENTS

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NEWSLETTER

Click here to view Jan 2022 newsletter

GAAIN Brochure

GAAIN Publications

Toga, A.W., Phatak, M., Pappas, I., Thompson, S., McHugh, C.P., Clement, M.H.S., Bauermeister, S., Maruyama T., & Gallacher, J. (2023). The pursuit of approaches to federate data to accelerate Alzheimer's disease and related dementia research: GAAIN, DPUK, and ADDI. Front Neuroinform 17:1175689.
https://doi.org/10.3389/fninf.2023.1175689

Xiao, C., Pappas, I., Aksman, L.M., O'Bryant, S.E., Toga, A.W., Health and Aging Brain Study (HABS-HD) Study Team, Alzheimer's Disease Neuroimaging Initiative. (2023). Comparison of genetic and health risk factors for mild cognitive impairment and Alzheimer's disease between Hispanic and non-Hispanic white participants. Alzheimers Dement 2023:1-9.
https://doi.org/10.1002/alz.13110

Xiao, C., Neu, S., & Toga, A. (2022). Sharing of Alzheimer’s Disease Research Data in the Global Alzheimer’s Association Interactive Network. In J. Cummings, J. Kinney, & H. Fillit (Eds.), Alzheimer's Disease Drug Development: Research and Development Ecosystem (pp. 395-403). Cambridge: Cambridge University Press.
http://doi.org/10.1017/9781108975759.035

Neu S.C., Pa J., Kukull W., Beekly D., Kuzma A., Gangadharan P., Wang L., Romero K., Arneric S.P., Redolfi A., Orlandi D., Frisoni G.B., Au R., Devine S., Auerbach S., Espinosa A., Boada M., Ruiz A., Johnson S.C., Koscik R., Wang J., Hsu W., Chen Y., & Toga A.W (2017). Apolipoprotein E Genotype and Sex Risk Factors for Alzheimer Disease. JAMA Neurol. Published online August 28, 2017.
http://doi.org/10.1001/jamaneurol.2017.2188

Neu, S. C., Crawford, K. L., & Toga, A. W. (2016). Sharing Data In The Global Alzheimer’s Association Interactive Network. NeuroImage, 124(0 0), 1168–1174.
http://doi.org/10.1016/j.neuroimage.2015.05.082

Ashish, N., Dewan, P., Ambite, J.-L., & Toga, A. W. (2015). GEM: The GAAIN Entity Mapper. Data Integration in the Life Sciences : … International Workshop, DILS … : Proceedings. DILS (Conference), 9162, 13–27.
http://doi.org/10.1007/978-3-319-21843-4_2

Ashish, N., & Toga, A. W. (2015). Medical data transformation using rewriting. Frontiers in Neuroinformatics, 9, 1.
http://doi.org/10.3389/fninf.2015.00001

Toga, A. W., Neu, S. C., Bhatt, P., Crawford, K. L., & Ashish, N. (2016). The Global Alzheimer’s Association Interactive Network. Alzheimer’s & Dementia : The Journal of the Alzheimer’s Association, 12(1), 49–54.
http://doi.org/10.1016/j.jalz.2015.06.1896

Toga, A. W., Bhatt, P., & Ashish, N. (2016). Global data sharing in Alzheimer’s disease research. Alzheimer Disease and Associated Disorders, 30(2), 160–168.
http://doi.org/10.1097/WAD.0000000000000121

Ashish, N., Dewan, P., & Toga, A. W. (2015). The GAAIN Entity Mapper: An Active-Learning System for Medical Data Mapping. Frontiers in Neuroinformatics, 9, 30.
http://doi.org/10.3389/fninf.2015.00030

GAAIN Publications

Leuzy, A., Raket, L. L., Villemagne, V. L., Klein, G., Tonietto, M., Olafson, E., Baker, S., Saad, Z. S., Bullich, S., Lopresti, B., Bohorquez, S. S., Boada, M., Betthauser, T. J., Charil, A., Collins, E. C., Collins, J. A., Cullen, N., Gunn, R. N., Higuchi, M., Hostetler, E., … Doré, V. (2024). Harmonizing tau positron emission tomography in Alzheimer's disease: The CenTauR scale and the joint propagation model. Alzheimers Dement 2024:1-16. https://doi.org/10.1002/alz.13908

Chen, K., Ghisays, V., Luo, J., Chen, Y., Lee, W., Wu, T., Reiman, E. M., & Su, Y. (2024). Harmonizing florbetapir and PiB PET measurements of cortical Aβ plaque burden using multiple regions-of-interest and machine learning techniques: An alternative to the Centiloid approach. Alzheimer's Dement 20:2165–2172. https://doi.org/10.1002/alz.13677

Bourgeat, P., Doré, V., Rowe, C. C., Benzinger, T., Tosun, D., Goyal, M. S., LaMontagne, P., Jin, L., Weiner, M. W., Masters, C. L., Fripp, J., Villemagne, V. L., Alzheimer's Disease Neuroimaging Initiative, & OASIS3, and the AIBL research group (2023). A universal neocortical mask for Centiloid quantification. Alzheimers Dement 15:e12457. https://doi.org/10.1002/dad2.12457

Villemagne, V. L., Leuzy, A., Bohorquez, S. S., Bullich, S., Shimada, H., Rowe, C. C., Bourgeat, P., Lopresti, B., Huang, K., Krishnadas, N., Fripp, J., Takado, Y., Gogola, A., Minhas, D., Weimer, R., Higuchi, M., Stephens, A., Hansson, O., Doré, V., & Alzheimer's Disease Neuroimaging Initiative and the AIBL research group (2023). CenTauR: Toward a universal scale and masks for standardizing tau imaging studies. Alzheimers Dement 15:e12454. https://doi.org/10.1002/dad2.12454

Matsuda, H., Soma, T., Okita, K., Shigemoto, Y., & Sato, N. (2023). Development of software for measuring brain amyloid accumulation using 18F-florbetapir PET and calculating global Centiloid scale and regional Z-score values. Brain Behav 13:e3092. https://doi.org/10.1002/brb3.3092

Redolfi, A., Archetti, D., De Francesco, S., Crema, C., Tagliavini, F., Lodi, R., Ghidoni, R., Gandini Wheeler-Kingshott, C. A. M., Alexander, D. C., & D'Angelo, E. (2023). Italian, European, and international neuroinformatics efforts: An overview. Eur J Neurosci 57:2017–2039. https://doi.org/10.1111/ejn.15854

Imabayashi, E., Tamamura, N., Yamaguchi, Y., Kamitaka, Y., Sakata, M., & Ishii, K. (2022). Automated semi-quantitative amyloid PET analysis technique without MR images for Alzheimer's disease. Ann Nucl Med 36:865–875. https://doi.org/10.1007/s12149-022-01769-x

Rane Levendovszky S. (2022). Cross-Sectional and Longitudinal Hippocampal Atrophy, Not Cortical Thinning, Occurs in Amyloid-Negative, p-Tau-Positive, Older Adults With Non-Amyloid Pathology and Mild Cognitive Impairment. Front Neuroimaging 1:828767.

https://doi.org/10.3389/fnimg.2022.828767

Matsuda, H., & Yamao, T. (2022). Software development for quantitative analysis of brain amyloid PET. Brain Behav 12:e2499. https://doi.org/10.1002/brb3.2499

Royse, S. K., Minhas, D. S., Lopresti, B. J., Murphy, A., Ward, T., Koeppe, R. A., Bullich, S., DeSanti, S., Jagust, W. J., Landau, S. M., & Alzheimer’s Disease Neuroimaging Initiative (2021). Validation of amyloid PET positivity thresholds in centiloids: a multisite PET study approach. Alzheimers Res Ther 13:99. https://doi.org/10.1186/s13195-021-00836-1

Hanseeuw, B. J., Malotaux, V., Dricot, L., Quenon, L., Sznajer, Y., Cerman, J., Woodard, J. L., Buckley, C., Farrar, G., Ivanoiu, A., & Lhommel, R. (2021). Defining a Centiloid scale threshold predicting long-term progression to dementia in patients attending the memory clinic: an [{*}{^}*18*{^}{*}F] flutemetamol amyloid PET study. Eur J Nucl Med Mol Imaging 48:302–310. https://doi.org/10.1007/s00259-020-04942-4

Rowe, C. C., Doré, V., Jones, G., Baxendale, D., Mulligan, R. S., Bullich, S., Stephens, A. W., De Santi, S., Masters, C. L., Dinkelborg, L., & Villemagne, V. L. (2017). 18F-Florbetaben PET beta-amyloid binding expressed in Centiloids. Eur J Nucl Med Mol Imaging 44:2053–2059. https://doi.org/10.1007/s00259-017-3749-6