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  • Andrew Saykin
Article

Utility of perfusion PET measures to assess neuronal injury in Alzheimer's disease

Dominantly Inherited Alzheimer Network, Jan 1 2018, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 10, p. 669-677 9 p.

Research output: Contribution to journalArticle

2 Scopus citations

Volumetric comparison of hippocampal subfields extracted from 4-minute accelerated vs. 8-minute high-resolution T2-weighted 3T MRI scans

Cong, S., Risacher, S. L., West, J. D., Wu, Y. C., Apostolova, L. G., Tallman, E., Rizkalla, M., Salama, P., Saykin, A. J. & Shen, L., Dec 1 2018, In : Brain Imaging and Behavior. 12, 6, p. 1583-1595 13 p.

Research output: Contribution to journalArticle

3 Scopus citations

Volumetric GWAS of medial temporal lobe structures identifies an ERC1 locus using ADNI high-resolution T2-weighted MRI data

UK Brain Expression Consortium & Alzheimer's Disease Neuroimaging Initiative, Nov 2020, In : Neurobiology of Aging. 95, p. 81-93 13 p.

Research output: Contribution to journalArticle

Open Access

White matter alterations in early-stage Alzheimer's disease: A tract-specific study

Wen, Q., Mustafi, S. M., Li, J., Risacher, S. L., Tallman, E., Brown, S. A., West, J. D., Harezlak, J., Farlow, M. R., Unverzagt, F. W., Gao, S., Apostolova, L. G., Saykin, A. J. & Wu, Y. C., Dec 2019, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 11, p. 576-587 12 p.

Research output: Contribution to journalArticle

Open Access
5 Scopus citations

White matter hyperintensities and the mediating role of cerebral amyloid angiopathy in dominantly-inherited Alzheimer’s disease

Lee, S., Zimmerman, M. E., Narkhede, A., Nasrabady, S. E., Tosto, G., Meier, I. B., Benzinger, T. L. S., Marcus, D. S., Fagan, A. M., Fox, N. C., Cairns, N. J., Holtzman, D. M., Buckles, V., Ghetti, B., McDade, E., Martins, R. N., Saykin, A. J., Masters, C. L., Ringman, J. M., Fӧrster, S. & 12 others, Schofield, P. R., Sperling, R. A., Johnson, K. A., Chhatwal, J. P., Salloway, S., Correia, S., Jack, C. R., Weiner, M., Bateman, R. J., Morris, J. C., Mayeux, R. & Brickman, A. M., May 2018, In : PloS one. 13, 5, e0195838.

Research output: Contribution to journalArticle

12 Scopus citations
Chapter

A Network-Based Framework for Mining High-Level Imaging Genetic Associations

Liang, H., Meng, X., Chen, F., Zhang, Q., Yan, J., Yao, X., Kim, S., Wang, L., Feng, W., Saykin, A. J., Li, J. & Shen, L., Jan 1 2018, Imaging Genetics. Elsevier Inc., p. 119-134 16 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Bootstrapped Sparse Canonical Correlation Analysis: Mining Stable Imaging and Genetic Associations With Implicit Structure Learning. Mining Stable Imaging and Genetic Associations With Implicit Structure Learning.

Yan, J., Du, L., Kim, S., Risacher, S. L., Huang, H., Inlow, M., Moore, J. H., Saykin, A. J. & Shen, L., Jan 1 2018, Imaging Genetics. Elsevier Inc., p. 101-117 17 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Neuroimaging in aging and neurologic diseases

Risacher, S. L. & Saykin, A. J., 2019, Handbook of Clinical Neurology. Elsevier B.V., p. 191-227 37 p. (Handbook of Clinical Neurology; vol. 167).

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations
Comment/debate

Author Correction: Multimodal hippocampal subfield grading for Alzheimer’s disease classification (Scientific Reports, (2019), 9, 1, (13845), 10.1038/s41598-019-49970-9)

Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2020, In : Scientific reports. 10, 1, 10969.

Research output: Contribution to journalComment/debate

Open Access

Author Correction: Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing (Nature Genetics, (2019), 51, 3, (414-430), 10.1038/s41588-019-0358-2)

Alzheimer Disease Genetics Consortium (ADGC), The European Alzheimer’s Disease Initiative (EADI), Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE) & Genetic and Environmental Risk in AD/Defining Genetic, Polygenic and Environmental Risk for Alzheimer’s Disease Consortium (GERAD/PERADES), Sep 1 2019, In : Nature genetics. 51, 9, p. 1423-1424 2 p.

Research output: Contribution to journalComment/debate

Open Access
3 Scopus citations
Conference article

Codon bias among synonymous rare variants is associated with alzheimer’s disease imaging biomarker

Alzheimer’s Disease Neuroimaging Initiative (ADNI), 2018, In : Pacific Symposium on Biocomputing. 0, 212669, p. 365-376 12 p.

Research output: Contribution to journalConference article

5 Scopus citations

Identification of discriminative imaging proteomics associations in Alzheimer’s disease via a novel sparse correlation model

Alzheimer's Disease Neuroimaging Initiative, 2017, In : Pacific Symposium on Biocomputing. 0, 212679, p. 94-104 11 p.

Research output: Contribution to journalConference article

Open Access
5 Scopus citations

Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays

Caiafa, C. F., Sporns, O., Saykin, A. & Pestilli, F., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 4341-4352 12 p.

Research output: Contribution to journalConference article

6 Scopus citations
Conference contribution

A dirty multi-task learning method for multi-modal brain imaging genetics

for the Alzheimer’s Disease Neuroimaging Initiative, Jan 1 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer, p. 447-455 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11767 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

A fast SCCA algorithm for big data analysis in brain imaging genetics

Alzheimer’s Disease Neuroimaging Initiative, 2017, Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - 1st International Workshop, GRAIL 2017 6th International Workshop, MFCA 2017 and 3rd International Workshop, MICGen 2017 Held in Conjunction with MICCAI 2017, Proceedings. Springer Verlag, Vol. 10551 LNCS. p. 210-219 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10551 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

BECA: A Software Tool for Integrated Visualization of Human Brain Data

Li, H., Fang, S., Zigon, B., Sporns, O., Saykin, A. J., Goñi, J. & Shen, L., Jan 1 2017, Brain Informatics - International Conference, BI 2017, Proceedings. Zeng, Y., Xu, B., Martone, M., He, Y., Peng, H., Luo, Q. & Kotaleski, J. H. (eds.). Springer Verlag, p. 285-291 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10654 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Diagnosis status guided brain imaging genetics via integrated regression and sparse canonical correlation analysis

Du, L., Liu, K., Yao, X., Risacher, S. L., Guo, L., Saykin, A. J. & Shen, L., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 356-359 4 p. 8759489. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Disruption of gene co-expression network along the progression of Alzheimer's disease

Upadhyaya, Y., Xie, L., Salama, P., Nho, K., Saykin, A. J. & Yan, J., May 2019, 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8834551. (2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics

Du, L., Liu, K., Yao, X., Risacher, S. L., Han, J., Guo, L., Saykin, A. J. & Shen, L., Jan 21 2019, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 356-361 6 p. 8621298. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Heritability estimation of reliable connectomic features

Xie, L., Amico, E., Salama, P., Wu, Y. C., Fang, S., Sporns, O., Saykin, A. J., Goñi, J., Yan, J. & Shen, L., Jan 1 2018, Connectomics in NeuroImaging - 2nd International Workshop, CNI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Wu, G., Schirmer, M. D., Chung, A. W., Rekik, I. & Munsell, B. (eds.). Springer Verlag, p. 58-66 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11083 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Identifying associations between brain imaging phenotypes and genetic factors via a novel structured SCCA approach

Du, L., Zhang, T., Liu, K., Yan, J., Yao, X., Risacher, S. L., Saykin, A., Han, J., Guo, L. & Shen, L., 2017, Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings. Springer Verlag, Vol. 10265 LNCS. p. 543-555 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10265 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Interactive Machine Learning by Visualization: A Small Data Solution

Li, H., Fang, S., Mukhopadhyay, S., Saykin, A. J. & Shen, L., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 3513-3521 9 p. 8621952. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model

Yan, J., Liu, K., Lv, H., Amico, E., Risacher, S. L., Wu, Y. C., Fang, S., Sporns, O., Saykin, A. J., Goni, J. & Shen, L., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, p. 6-9 4 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Joint high-order multi-task feature learning to predict the progression of Alzheimer’s disease

ADNI, Jan 1 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Schnabel, J. A., Davatzikos, C., Alberola-López, C., Fichtinger, G. & Frangi, A. F. (eds.). Springer Verlag, p. 555-562 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11070 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Longitudinal genotype-phenotype association study via temporal structure auto-learning predictive model

The ADNI, Jan 1 2017, Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings. Sahinalp, S. C. (ed.). Springer Verlag, p. 287-302 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10229 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Mining regional imaging genetic associations via voxel-wise enrichment analysis

Yao, X., Cong, S., Yan, J., Risacher, S. L., Saykin, A. J., Moore, J. H. & Shen, L., May 2019, 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8834450. (2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysis

Liu, K., Wang, H., Risacher, S., Saykin, A. & Shen, L., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 1402-1405 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules

Yao, X., Yan, J., Risacher, S., Moore, J., Saykin, A. & Shen, L., Jun 16 2017, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 6170-6174 5 p. 7953342. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

New probabilistic multi-graph decomposition model to identify consistent human brain network modules

Luo, D., Huo, Z., Wang, Y., Saykin, A. J., Shen, L. & Huang, H., Jan 31 2017, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Bonchi, F., Wu, X., Baeza-Yates, R., Domingo-Ferrer, J. & Zhou, Z-H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 301-310 10 p. 7837854. (Proceedings - IEEE International Conference on Data Mining, ICDM).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Predicting interrelated Alzheimer’s disease outcomes via new self-learned structured low-rank model

Wang, X., Liu, K., Yan, J., Risacher, S. L., Saykin, A. J., Shen, L. & Huang, H., Jan 1 2017, Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings. Zhu, H., Niethammer, M., Styner, M., Zhu, H., Shen, D., Yap, P-T., Aylward, S. & Oguz, I. (eds.). Springer Verlag, p. 198-209 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10265 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learning

Lu, L., Wang, H., Yao, X., Risacher, S., Saykin, A. & Shen, L., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 545-548 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Prioritization of cognitive assessments in Alzheimer's disease via learning to rank using brain morphometric data

Peng, B., Yao, X., Risacher, S. L., Saykin, A. J., Shen, L. & Ning, X., May 2019, 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8834618. (2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Prioritizing Amyloid Imaging Biomarkers in Alzheimer’s Disease via Learning to Rank

for the ADNI, Jan 1 2019, Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Proceedings. Zhu, D., Yan, J., Huang, H., Shen, L., Thompson, P. M., Westin, C-F., Pennec, X., Joshi, S., Nielsen, M., Sommer, S., Fletcher, T. & Durrleman, S. (eds.). Springer, p. 139-148 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11846 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics

Du, L., Zhang, T., Liu, K., Yao, X., Yan, J., Risacher, S. L., Guo, L., Saykin, A. J. & Shen, L., Jan 17 2017, Proceedings - 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016. Burrage, K., Zhu, Q., Liu, Y., Tian, T., Wang, Y., Hu, X. T., Jiang, Q., Song, J., Morishita, S., Burrage, K. & Wang, G. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 707-711 5 p. 7822605. (Proceedings - 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Towards subject and diagnostic identifiability in the alzheimer’s disease spectrum based on functional connectomes

Svaldi, D. O., Goñi, J., Bharthur Sanjay, A., Amico, E., Risacher, S. L., West, J. D., Dzemidzic, M., Saykin, A. & Apostolova, L., Jan 1 2018, Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities - 2nd International Workshop, GRAIL 2018 and 1st International Workshop, Beyond MIC 2018 Held in Conjunction with MICCAI 2018, Proceedings. Stoyanov, D., Sotiras, A., Papiez, B., Dalca, A. V., Martel, A., Parisot, S., Ferrante, E., Maier-Hein, L., Sabuncu, M. R., Shen, L. & Taylor, Z. (eds.). Springer Verlag, p. 74-82 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11044 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Transcriptome-guided imaging genetic analysis via a novel sparse CCA algorithm

Alzheimer’s Disease Neuroimaging Initiative, 2017, Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - 1st International Workshop, GRAIL 2017 6th International Workshop, MFCA 2017 and 3rd International Workshop, MICGen 2017 Held in Conjunction with MICCAI 2017, Proceedings. Springer Verlag, Vol. 10551 LNCS. p. 220-229 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10551 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Review article

Adult neurogenesis and neurodegenerative diseases: A systems biology perspective

Horgusluoglu, E., Nudelman, K., Nho, K. & Saykin, A. J., Jan 1 2017, In : American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics. 174, 1, p. 93-112 20 p.

Research output: Contribution to journalReview article

57 Scopus citations

A Systematic Review of Delirium Biomarkers and Their Alignment with the NIA-AA Research Framework

Wang, S., Lindroth, H., Chan, C., Greene, R., Serrano-Andrews, P., Khan, S., Rios, G., Jabbari, S., Lim, J., Saykin, A. J. & Khan, B., 2020, (Accepted/In press) In : Journal of the American Geriatrics Society.

Research output: Contribution to journalReview article

Biological Hallmarks of Cancer in Alzheimer’s Disease

Nudelman, K. N. H., McDonald, B. C., Lahiri, D. K. & Saykin, A. J., Oct 1 2019, In : Molecular Neurobiology. 56, 10, p. 7173-7187 15 p.

Research output: Contribution to journalReview article

7 Scopus citations

Exploring the nexus of Alzheimer's disease and related dementias with cancer and cancer therapies: A convening of the Alzheimer's Association & Alzheimer's Drug Discovery Foundation

Snyder, H. M., Ahles, T., Calderwood, S., Carrillo, M. C., Chen, H., Chang, C. C. H., Craft, S., De Jager, P., Driver, J. A., Fillit, H., Knopman, D., Lotze, M., Tierney, M. C., Petanceska, S., Saykin, A., Seshadri, S., Shineman, D. & Ganguli, M., Mar 1 2017, In : Alzheimer's and Dementia. 13, 3, p. 267-273 7 p.

Research output: Contribution to journalReview article

13 Scopus citations

International cognition and cancer task force recommendations for neuroimaging methods in the study of cognitive impairment in non-CNS cancer patients

Deprez, S., Kesler, S. R., Saykin, A. J., Silverman, D. H. S., De Ruiter, M. B. & McDonald, B. C., Mar 1 2018, In : Journal of the National Cancer Institute. 110, 3, p. 223-231 9 p.

Research output: Contribution to journalReview article

23 Scopus citations

Progress in Polygenic Composite Scores in Alzheimer's and Other Complex Diseases

Chasioti, D., Yan, J., Nho, K. & Saykin, A. J., May 2019, In : Trends in Genetics. 35, 5, p. 371-382 12 p.

Research output: Contribution to journalReview article

8 Scopus citations

Recent publications from the Alzheimer's Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trials

Alzheimer's Disease Neuroimaging Initiative, Apr 1 2017, In : Alzheimer's and Dementia. 13, 4, p. e1-e85

Research output: Contribution to journalReview article

94 Scopus citations

The Alzheimer's Disease Neuroimaging Initiative 3: Continued innovation for clinical trial improvement

Alzheimer's Disease Neuroimaging Initiative, May 2017, In : Alzheimer's and Dementia. 13, 5, p. 561-571 11 p.

Research output: Contribution to journalReview article

46 Scopus citations

The characterisation of subjective cognitive decline

Jessen, F., Amariglio, R. E., Buckley, R. F., van der Flier, W. M., Han, Y., Molinuevo, J. L., Rabin, L., Rentz, D. M., Rodriguez-Gomez, O., Saykin, A. J., Sikkes, S. A. M., Smart, C. M., Wolfsgruber, S. & Wagner, M., Mar 2020, In : The Lancet Neurology. 19, 3, p. 271-278 8 p.

Research output: Contribution to journalReview article

16 Scopus citations

Understanding disease progression and improving Alzheimer's disease clinical trials: Recent highlights from the Alzheimer's Disease Neuroimaging Initiative

Alzheimer's Disease Neuroimaging Initiative, Jan 2019, In : Alzheimer's and Dementia. 15, 1, p. 106-152 47 p.

Research output: Contribution to journalReview article

45 Scopus citations
Short survey

Implementation of subjective cognitive decline criteria in research studies

Subjective Cognitive Decline Initiative (SCD-I) Working Group, Mar 1 2017, In : Alzheimer's and Dementia. 13, 3, p. 296-311 16 p.

Research output: Contribution to journalShort survey

116 Scopus citations