Maillard, Pauline

New insights into the genetic etiology of Alzheimer’s disease and related dementias

Bellenguez, C., Küçükali, F., Jansen, I. E., Kleineidam, L., Moreno-Grau, S., Amin, N., Naj, A. C., Campos-Martin, R., Grenier-Boley, B., Andrade, V., et al. (2022) · Nature Genetics

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 2,498

Neuroimaging standards for research into small vessel disease—advances since 2013

Duering, M., Biessels, G. J., Brodtmann, A., Chen, C., Cordonnier, C., de Leeuw, F.-E., Debette, S., Frayne, R., Jouvent, E., Rost, N. S., et al. (2023) · The Lancet Neurology

Cerebrovascular and genetic disordersNeurological Disease Mechanisms and Treatments

Cited by 1,144

Predicting alzheimer’s disease progression using multi-modal deep learning approach

Lee, G., Nho, K., Kang, B., Sohn, K.-A., Kim, D., Initiative, F. A. D. N., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., et al. (2019) · Scientific Reports

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 406

Magnetic resonance imaging in Alzheimer’s disease neuroimaging initiative 2

Jack, C. R., Barnes, J., Bernstein, M. A., Borowski, B. J., Brewer, J., Clegg, S., Dale, A. M., Carmichael, O., Ching, C., DeCarli, C., et al. (2015) · Alzheimer's & Dementia

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 220

Antihypertensive Treatment and Change in Blood Pressure Are Associated With the Progression of White Matter Lesion Volumes: The Three-City (3C)–Dijon Magnetic Resonance Imaging Study

Godin, O., Tzourio, C., Maillard, P., Mazoyer, B., & Dufouil, C. (2011) · Circulation

Cerebrovascular and genetic disordersBlood Pressure and Hypertension Studies

Cited by 187

Coevolution of white matter hyperintensities and cognition in the elderly

Maillard, P., Carmichael, O., Fletcher, E., Reed, B., Mungas, D., & DeCarli, C. (2012) · Neurology

Dementia and Cognitive Impairment ResearchCerebrovascular and genetic disorders

Cited by 172

Alzheimer disease brain atrophy subtypes are associated with cognition and rate of decline

Risacher, S. L., Anderson, W. H., Charil, A., Castelluccio, P. F., Shcherbinin, S., Saykin, A. J., Schwarz, A. J., Initiative, F. T. A. D. N., Initiative, A. D. N., Weiner, M. W., et al. (2017) · Neurology

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 163

Circulating cortisol and cognitive and structural brain measures: The Framingham Heart Study

Echouffo-Tcheugui, J. B., Conner, S. C., Himali, J. J., Maillard, P., DeCarli, C. S., Beiser, A. S., Vasan, R. S., & Seshadri, S. (2018) · Neurology

Stress Responses and CortisolDementia and Cognitive Impairment Research

Cited by 139

Identification of genetic risk factors in the Chinese population implicates a role of immune system in Alzheimer’s disease pathogenesis

Zhou, X., Chen, Y., Mok, K. Y., Zhao, Q., Chen, K., Chen, Y., Hardy, J., Li, Y., Fu, A. K. Y., Guo, Q., et al. (2018) · Proceedings of the National Academy of Sciences

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 96

Overview of ADNI MRI

Jack, C. R., Arani, A., Borowski, B. J., Cash, D. M., Crawford, K., Das, S. R., DeCarli, C., Fletcher, E., Fox, N. C., Gunter, J. L., et al. (2024) · Alzheimer's & Dementia

Dementia and Cognitive Impairment ResearchAdvanced MRI Techniques and Applications

Cited by 82

Staging tau pathology with tau PET in Alzheimer’s disease: a longitudinal study

Chen, S.-D., Lu, J.-Y., Li, H.-Q., Yang, Y.-X., Jiang, J.-H., Cui, M., Zuo, C.-T., Tan, L., Dong, Q., Yu, J.-T., et al. (2021) · Translational Psychiatry

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 71

Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer’s disease

Huang, M., Yang, W., Feng, Q., Chen, W., Initiative, T. A. D. N., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., et al. (2017) · Scientific Reports

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 55

Genome-wide association study of 23,500 individuals identifies 7 loci associated with brain ventricular volume

Vojinovic, D., Adams, H. H., Jian, X., Yang, Q., Smith, A. V., Bis, J. C., Teumer, A., Scholz, M., Armstrong, N. J., Hofer, E., et al. (2018) · Nature Communications

Genetic Associations and EpidemiologyCerebrospinal fluid and hydrocephalus

Cited by 52

Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification

Hett, K., Ta, V.-T., Catheline, G., Tourdias, T., Manjón, J. V., Coupé, P., Initiative, A. D. N., Weiner, M. W., Aisen, P., Petersen, R., et al. (2019) · Scientific Reports

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 49

Association of vascular brain injury, neurodegeneration, amyloid, and cognitive trajectory

Han, J. W., Maillard, P., Harvey, D., Fletcher, E., Martinez, O., Johnson, D. K., Olichney, J. M., Farias, S. T., Villeneuve, S., Jagust, W., et al. (2020) · Neurology

Dementia and Cognitive Impairment ResearchNeurological Disease Mechanisms and Treatments

Cited by 49

Age-related white matter integrity differences in oldest-old without dementia

Bennett, I. J., Greenia, D. E., Maillard, P., Sajjadi, S. A., DeCarli, C., Corrada, M. M., & Kawas, C. H. (2017) · Neurobiology of Aging

Advanced Neuroimaging Techniques and ApplicationsDementia and Cognitive Impairment Research

Cited by 41

Amyloid pathology and vascular risk are associated with distinct patterns of cerebral white matter hyperintensities: A multicenter study in 3132 memory clinic patients

Biesbroek, J. M., Coenen, M., DeCarli, C., Fletcher, E. M., Maillard, P. M., Initiative, A. D. N., Barkhof, F., Barnes, J., Benke, T., Chen, C. P. L. H., et al. (2024) · Alzheimer's & Dementia

Cerebrovascular and genetic disordersDementia and Cognitive Impairment Research

Cited by 38

Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits

Deming, Y., Xia, J., Cai, Y., Lord, J., Del-Aguila, J. L., Fernandez, M. V., Carrell, D., Black, K., Budde, J., Ma, S., et al. (2016) · Scientific Reports

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 28

Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data

Jo, T., Kim, J., Bice, P., Huynh, K., Wang, T., Arnold, M., Meikle, P. J., Giles, C., Kaddurah-Daouk, R., Saykin, A. J., et al. (2023) · eBioMedicine

Dementia and Cognitive Impairment ResearchMetabolomics and Mass Spectrometry Studies

Cited by 15