Magnetic resonance imaging in Alzheimer’s disease neuroimaging initiative 2

The diagnosis of dementia due to Alzheimer's disease: Recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease

McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657 · see citing works

Nonlinear Dimensionality Reduction by Locally Linear Embedding

Roweis, S. T., & Saul, L. K. (2000) · Science · doi:10.1126/science.290.5500.2323 · Cited by 14,965 · see citing works

The diagnosis of mild cognitive impairment due to Alzheimer's disease: Recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease

Albert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., Gamst, A., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.008 · Cited by 10,152 · see citing works

Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease

Sperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.003 · Cited by 7,155 · see citing works

Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade

Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806 · see citing works

Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers

Jack, C. R., Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S., Shaw, L. M., Vemuri, P., Wiste, H. J., Weigand, S. D., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70291-0 · Cited by 4,396 · see citing works

The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods

Jack, C. R., Bernstein, M. A., Fox, N. C., Thompson, P., Alexander, G., Harvey, D., Borowski, B., Britson, P. J., L. Whitwell, J., Ward, C., et al. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21049 · Cited by 4,347 · see citing works

Clinical and biomarker changes in dominantly inherited Alzheimer's disease

Bateman, R. J., Xiong, C., Benzinger, T. L. S., Fagan, A. M., Goate, A., Fox, N. C., Marcus, D. S., Cairns, N. J., Xie, X., Blazey, T. M., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1202753 · Cited by 3,814 · see citing works

Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria

Dubois, B., Feldman, H. H., Jacova, C., Hampel, H., Molinuevo, J. L., Blennow, K., DeKosky, S. T., Gauthier, S., Selkoe, D., Bateman, R., et al. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70090-0 · Cited by 3,321 · see citing works

Amyloid β deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer's disease: a prospective cohort study

Villemagne, V. L., Burnham, S., Bourgeat, P., Brown, B., Ellis, K. A., Salvado, O., Szoeke, C., Macaulay, S. L., Martins, R., Maruff, P., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70044-9 · Cited by 2,279 · see citing works

Introduction to the recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease

Jack, C. R., Albert, M. S., Knopman, D. S., McKhann, G. M., Sperling, R. A., Carrillo, M. C., Thies, B., & Phelps, C. H. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.004 · Cited by 2,042 · see citing works

Mixed brain pathologies account for most dementia cases in community-dwelling older persons

Schneider, J. A., Arvanitakis, Z., Bang, W., & Bennett, D. A. (2007) · Neurology · doi:10.1212/01.wnl.0000271090.28148.24 · Cited by 1,992 · see citing works

Alzheimer’s Dementia

Melnick, V. L., & Dubler, N. N. (1985) · Contemporary Issues in Biomedicine, Ethics, and Society · doi:10.1007/978-1-4612-5174-3 · Cited by 1,986 · see citing works

Two Phase 3 Trials of Bapineuzumab in Mild-to-Moderate Alzheimer's Disease

Salloway, S., Sperling, R., Fox, N. C., Blennow, K., Klunk, W., Raskind, M., Sabbagh, M., Honig, L. S., Porsteinsson, A. P., Ferris, S., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1304839 · Cited by 1,960 · see citing works

Mild Cognitive Impairment Represents Early-Stage Alzheimer Disease

Morris, J. C., Storandt, M., Miller, J. P., McKeel, D. W., Price, J. L., Rubin, E. H., & Berg, L. (2001) · Archives of Neurology · doi:10.1001/archneur.58.3.397 · Cited by 1,833 · see citing works

The Alzheimer's Disease Neuroimaging Initiative

Mueller, S. G., Weiner, M. W., Thal, L. J., Petersen, R. C., Jack, C., Jagust, W., Trojanowski, J. Q., Toga, A. W., & Beckett, L. (2005) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2005.09.008 · Cited by 1,525 · see citing works

Highly accurate inverse consistent registration: A robust approach

Reuter, M., Rosas, H. D., & Fischl, B. R. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.020 · Cited by 1,378 · see citing works

Biomarker Modeling of Alzheimer’s Disease

Jack, C. R., & Holtzman, D. M. (2013) · Neuron · doi:10.1016/j.neuron.2013.12.003 · Cited by 1,002 · see citing works

Common genetic variants influence human subcortical brain structures

Initiative, T. A. D. N., Hibar, D. P., The CHARGE Consortium, EPIGEN, IMAGEN, SYS, Stein, J. L., Renteria, M. E., Arias-Vasquez, A., Desrivières, S., et al. (2015) · Nature · doi:10.1038/nature14101 · Cited by 858 · see citing works

What is normal in normal aging? Effects of aging, amyloid and Alzheimer's disease on the cerebral cortex and the hippocampus

Fjell, A. M., McEvoy, L., Holland, D., Dale, A. M., & Walhovd, K. B. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2014.02.004 · Cited by 799 · see citing works

A phase 2 multiple ascending dose trial of bapineuzumab in mild to moderate Alzheimer disease

Salloway, S., Sperling, R., Gilman, S., Fox, N. C., Blennow, K., Raskind, M., Sabbagh, M., Honig, L. S., Doody, R., van Dyck, C. H., et al. (2009) · Neurology · doi:10.1212/wnl.0b013e3181c67808 · Cited by 753 · see citing works

One-Year Brain Atrophy Evident in Healthy Aging

Fjell, A. M., Walhovd, K. B., Fennema-Notestine, C., McEvoy, L. K., Hagler, D. J., Holland, D., Brewer, J. B., & Dale, A. M. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3252-09.2009 · Cited by 692 · see citing works

Comparing predictors of conversion and decline in mild cognitive impairment

Landau, S. M., Harvey, D., Madison, C. M., Reiman, E. M., Foster, N. L., Aisen, P. S., Petersen, R. C., Shaw, L. M., Trojanowski, J. Q., Jack, C. R., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181e8e8b8 · Cited by 616 · see citing works

An operational approach to National Institute on Aging–Alzheimer's Association criteria for preclinical Alzheimer disease

Jack, C. R., Knopman, D. S., Weigand, S. D., Wiste, H. J., Vemuri, P., Lowe, V., Kantarci, K., Gunter, J. L., Senjem, M. L., Ivnik, R. J., et al. (2012) · Annals of Neurology · doi:10.1002/ana.22628 · Cited by 602 · see citing works

Preclinical Alzheimer's disease and its outcome: a longitudinal cohort study

Vos, S. J., Xiong, C., Visser, P. J., Jasielec, M. S., Hassenstab, J., Grant, E. A., Cairns, N. J., Morris, J. C., Holtzman, D. M., & Fagan, A. M. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70194-7 · Cited by 564 · see citing works

Brain beta-amyloid measures and magnetic resonance imaging atrophy both predict time-to-progression from mild cognitive impairment to Alzheimer's disease

Jack, C. R., Wiste, H. J., Vemuri, P., Weigand, S. D., Senjem, M. L., Zeng, G., Bernstein, M. A., Gunter, J. L., Pankratz, V. S., Aisen, P. S., et al. (2010) · Brain · doi:10.1093/brain/awq277 · Cited by 531 · see citing works

Clinical core of the Alzheimer's disease neuroimaging initiative: Progress and plans

Aisen, P. S. S., Petersen, R. C., Donohue, M., Gamst, A. C., Raman, R., Thomas, R. G., Walter, S., Trojanowski, J. Q., Shaw, L. M. J., Beckett, L. A., et al. (2010) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2010.03.006 · Cited by 516 · see citing works

Amyloid-related imaging abnormalities in patients with Alzheimer's disease treated with bapineuzumab: a retrospective analysis

Sperling, R., Salloway, S., Brooks, D. J., Tampieri, D., Barakos, J., Fox, N. C., Raskind, M., Sabbagh, M., Honig, L. S., Porsteinsson, A. P., et al. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70015-7 · Cited by 512 · see citing works

Non-Stationarity in the “Resting Brain’s” Modular Architecture

Jones, D. T., Vemuri, P., Murphy, M. C., Gunter, J. L., Senjem, M. L., Machulda, M. M., Przybelski, S. A., Gregg, B. E., Kantarci, K., Knopman, D. S., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0039731 · Cited by 439 · see citing works

Longitudinal Change in CSF Biomarkers in Autosomal-Dominant Alzheimer’s Disease

Fagan, A. M., Xiong, C., Jasielec, M. S., Bateman, R. J., Goate, A. M., Benzinger, T. L. S., Ghetti, B., Martins, R. N., Masters, C. L., Mayeux, R., et al. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3007901 · Cited by 434 · see citing works

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)

(2014) · doi:10.1109/isbi19594.2014 · Cited by 429 · see citing works

Brain β-amyloid load approaches a plateau

Jack, C. R., Wiste, H. J., Lesnick, T. G., Weigand, S. D., Knopman, D. S., Vemuri, P., Pankratz, V. S., Senjem, M. L., Gunter, J. L., Mielke, M. M., et al. (2013) · Neurology · doi:10.1212/wnl.0b013e3182840bbe · Cited by 406 · see citing works

MRI and CSF biomarkers in normal, MCI, and AD subjects

Vemuri, P., Wiste, H. J., Weigand, S. D., Shaw, L. M. J., Trojanowski, J. Q., Weiner, M. W., Knopman, D. S., Petersen, R. C., & Jack, C. R. (2009) · Neurology · doi:10.1212/wnl.0b013e3181af79fb · Cited by 399 · see citing works

Prediction of conversion from mild cognitive impairment to Alzheimer's disease dementia based upon biomarkers and neuropsychological test performance

Ewers, M., Walsh, C., Trojanowski, J. Q., Shaw, L. M. J., Petersen, R. C., Jack, C. R., Feldman, H., Bokde, A. L. W., Alexander, G. E., Scheltens, P., et al. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.10.019 · Cited by 397 · see citing works

Regional variability of imaging biomarkers in autosomal dominant Alzheimer's disease

Benzinger, T. L. S., Blazey, T., Jack, C. R., Koeppe, R. A., Su, Y., Xiong, C., Raichle, M. E., Snyder, A. Z., Ances, B. M., Bateman, R. J., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1317918110 · Cited by 391 · see citing works

Age, Sex, andAPOEε4 Effects on Memory, Brain Structure, and β-Amyloid Across the Adult Life Span

Jack, C. R., Wiste, H. J., Weigand, S. D., Knopman, D. S., Vemuri, P., Mielke, M. M., Lowe, V. J., Senjem, M. L., Gunter, J. L., Machulda, M. M., et al. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2014.4821 · Cited by 382 · see citing works

Clinical and Biomarker Changes in Dominantly Inherited Alzheimer's Disease

(2012) · New England Journal of Medicine · doi:10.1056/nejmx120056 · Cited by 382 · see citing works

Update on the Magnetic Resonance Imaging core of the Alzheimer's Disease Neuroimaging Initiative

Jack, C. R., Bernstein, M. A., Borowski, B., Gunter, J. L., Fox, N. C., Thompson, P. M., Schuff, N. W., Krüger, G., Killiany, R., DeCarli, C. S., et al. (2010) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2010.03.004 · Cited by 379 · see citing works

Age-specific population frequencies of cerebral β-amyloidosis and neurodegeneration among people with normal cognitive function aged 50–89 years: a cross-sectional study

Jack, C. R., Wiste, H. J., Weigand, S. D., Rocca, W. A., Knopman, D. S., Mielke, M. M., Lowe, V. J., Senjem, M. L., Gunter, J. L., Preboske, G. M., et al. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70194-2 · Cited by 358 · see citing works

Effectiveness of regional DTI measures in distinguishing Alzheimer’s disease, MCI, and normal aging

Nir, T. M., Jahanshad, N., Villalon-Reina, J. E., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.07.006 · Cited by 348 · see citing works

Synergistic Effect of β-Amyloid and Neurodegeneration on Cognitive Decline in Clinically Normal Individuals

Mormino, E. C., Betensky, R. A., Hedden, T., Schultz, A. P., Amariglio, R. E., Rentz, D. M., Johnson, K. A., & Sperling, R. A. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.2031 · Cited by 328 · see citing works

A data-driven model of biomarker changes in sporadic Alzheimer’s disease

Young, A. L., Oxtoby, N. P., Daga, P., Cash, D. M., Fox, N. C., Ourselin, S., Schott, J. M., & Alexander, D. C. (2014) · Brain · doi:10.1093/brain/awu176 · Cited by 308 · see citing works

Regional rates of neocortical atrophy from normal aging to early Alzheimer disease

McDonald, C. R., McEvoy, L. K., Gharapetian, L., Fennema-Notestine, C., Hagler, D. J., Holland, D., Koyama, A., Brewer, J. B., & Dale, A. M. (2009) · Neurology · doi:10.1212/wnl.0b013e3181b16431 · Cited by 299 · see citing works

Combining MR Imaging, Positron-Emission Tomography, and CSF Biomarkers in the Diagnosis and Prognosis of Alzheimer Disease

Walhovd, K. B., Fjell, A. M., Brewer, J., McEvoy, L. K., Fennema-Notestine, C., Hagler, D. J., Jennings, R. G., Karow, D., Dale, A. M., & Initiative, T. A. D. N. (2010) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1809 · Cited by 279 · see citing works

Longitudinal MRI atrophy biomarkers: Relationship to conversion in the ADNI cohort

Risacher, S. L., Shen, L., West, J. D., Kim, S., McDonald, B. C., Beckett, L. A., Harvey, D. J., Jack, C. R., Weiner, M. W., & Saykin, A. J. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.04.029 · Cited by 276 · see citing works

Mild cognitive impairment due to Alzheimer disease in the community

Petersen, R. C., Aisen, P., Boeve, B. F., Geda, Y. E., Ivnik, R. J., Knopman, D. S., Mielke, M., Pankratz, V. S., Roberts, R., Rocca, W. A., et al. (2013) · Annals of Neurology · doi:10.1002/ana.23931 · Cited by 265 · see citing works

TREM2and Neurodegenerative Disease

Reitz, C., & Mayeux, R. P. (2013) · New England Journal of Medicine · doi:10.1056/nejmc1306509 · Cited by 254 · see citing works

Longitudinal changes in white matter disease and cognition in the first year of the Alzheimer disease neuroimaging initiative

Carmichael, O. (2010) · Archives of Neurology · doi:10.1001/archneurol.2010.284 · Cited by 248 · see citing works

MRI and CSF biomarkers in normal, MCI, and AD subjects

Vemuri, P., Wiste, H. J., Weigand, S. D., Shaw, L. M. J., Trojanowski, J. Q., Weiner, M. W., Knopman, D. S., Petersen, R. C., & Jack, C. R. (2009) · Neurology · doi:10.1212/wnl.0b013e3181af79e5 · Cited by 246 · see citing works

A computational neurodegenerative disease progression score: Method and results with the Alzheimer's disease neuroimaging initiative cohort

Jedynak, B., Lang, A., Liu, B., Katz, E., Zhang, Y., Wyman, B. T., Raunig, D. L., Jedynak, C. P., Caffo, B. S., & Prince, J. L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.07.059 · Cited by 245 · see citing works

Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease

Leung, K. K., Barnes, J., Ridgway, G. R., Bartlett, J. W., Clarkson, M. J., Macdonald, K. E., Schuff, N. W., Fox, N. C., & Sebastien Ourselin, A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.018 · Cited by 244 · see citing works

Short-term clinical outcomes for stages of NIA-AA preclinical Alzheimer disease

Knopman, D. S., Jack, C. R., Wiste, H. J., Weigand, S. D., Vemuri, P., Lowe, V. J., Kantarci, K., Gunter, J. L., Senjem, M. L., Ivnik, R. J., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e3182563bbe · Cited by 243 · see citing works

A commonly carried allele of the obesity-related FTO gene is associated with reduced brain volume in the healthy elderly

Ho, A. J., Stein, J. L., Hua, X., Lee, S., Hibar, D. P., Leow, A., Dinov, I. D., Toga, A. W., Saykin, A. J., Shen, L., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0910878107 · Cited by 242 · see citing works

The diagnosis of dementia due to Alzheimer's disease: Recommendations from the National Institute on Aging and the Alzheimer's Association workgroup

McKhann, G. M., Knopman, D. S., Chertkow, H. M., Hyman, B. T., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mohs, R. C., Morris, J. C., et al. (2011) · Alzheimer s & Dementia · Cited by 240 · see citing works

STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation

Cardoso, M. J., Leung, K. K., Marc Modat, A., Shiva Keihaninejad, A., Cash, D. M., Barnes, J., Fox, N. C., & Sebastien Ourselin, A. (2013) · Medical Image Analysis · doi:10.1016/j.media.2013.02.006 · Cited by 238 · see citing works

Standardization of analysis sets for reporting results from ADNI MRI data

Wyman, B. T., Harvey, D. J., Crawford, K. L., Bernstein, M. A., Carmichael, O. T., Cole, P. E., Crane, P. K., DeCarli, C. S., Fox, N. C., Gunter, J. L., et al. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.06.004 · Cited by 238 · see citing works

Independent information from cerebrospinal fluid amyloid-β and florbetapir imaging in Alzheimer's disease

Mattsson, N., Insel, P. S., Donohue, M., Landau, S., Jagust, W. J., Shaw, L. M., Trojanowski, J. Q., Zetterberg, H., Blennow, K., & Weiner, M. W. (2015) · Brain · doi:10.1093/brain/awu367 · Cited by 237 · see citing works

Brain Changes in Older Adults at Very Low Risk for Alzheimer's Disease

Fjell, A. M., McEvoy, L. K., Holland, D., Dale, A. M., Walhovd, K. B., & Initiative, A. D. N. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.5506-12.2013 · Cited by 227 · see citing works

Patterns of Atrophy Differ Among Specific Subtypes of Mild Cognitive Impairment

Whitwell, J. L., Petersen, R. C., Negash, S., Weigand, S. D., Kantarci, K., Ivnik, R. J., Knopman, D. S., Boeve, B. F., Smith, G. E., & Jack, C. R. (2007) · Archives of Neurology · doi:10.1001/archneur.64.8.1130 · Cited by 224 · see citing works

Evidence for Ordering of Alzheimer Disease Biomarkers

Jack, C. R. (2011) · Archives of Neurology · doi:10.1001/archneurol.2011.183 · Cited by 221 · see citing works

Higher Rates of Decline for Women and <i>Apolipoprotein E</i> ε4 Carriers

Holland, D., Desikan, R. S., Dale, A. M., & McEvoy, L. K. (2013) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3601 · Cited by 219 · see citing works

Steps to standardization and validation of hippocampal volumetry as a biomarker in clinical trials and diagnostic criterion for Alzheimer's disease

Jack, C. R., Barkhof, F., Bernstein, M. A., Cantillon, M., Cole, P. E., DeCarli, C. S., Dubois, B., Duchesne, S., Fox, N. C., Frisoni, G. B., et al. (2011) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2011.04.007 · Cited by 219 · see citing works

Automated 3D mapping of hippocampal atrophy and its clinical correlates in 400 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls

Morra, J. H., Tu, Z., Apostolova, L. G., Green, A. E., Avedissian, C., Madsen, S. K., Parikshak, N., Hua, X., Toga, A. W., Jack, C. R., et al. (2009) · Human Brain Mapping · doi:10.1002/hbm.20708 · Cited by 212 · see citing works

Association of brain amyloid-β with cerebral perfusion and structure in Alzheimer’s disease and mild cognitive impairment

Mattsson, N., Tosun, D., Insel, P. S., Simonson, A., Jack, C. R., Beckett, L. A., Donohue, M., Jagust, W., Schuff, N. W., & Weiner, M. W. (2014) · Brain · doi:10.1093/brain/awu043 · Cited by 211 · see citing works

Subregional neuroanatomical change as a biomarker for Alzheimer's disease

Holland, D., Brewer, J. B., Hagler, D. J., Fennema-Notestine, C., Dale, A. M., Initiative, T. A. D. N., Weiner, M., Thal, L., Petersen, R., Jack, C. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0906053106 · Cited by 210 · see citing works

The EADC‐ADNI Harmonized Protocol for manual hippocampal segmentation on magnetic resonance: Evidence of validity

Frisoni, G. B., Jack, C. R., Bocchetta, M., Bauer, C. M., Frederiksen, K. S., Liu, Y., Preboske, G. M., Swihart, T., Blair, M., Cavedo, E., et al. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.05.1756 · Cited by 207 · see citing works

Comparison of different methodological implementations of voxel-based morphometry in neurodegenerative disease

Senjem, M. L., Gunter, J. L., Shiung, M. S., Petersen, R. C., & Jack, C. R. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.005 · Cited by 206 · see citing works

Network Diffusion Model of Progression Predicts Longitudinal Patterns of Atrophy and Metabolism in Alzheimer’s Disease

Raj, A., LoCastro, E., Kuceyeski, A. F., Tosun, D., Relkin, N. R., & Weiner, M. W. (2015) · Cell Reports · doi:10.1016/j.celrep.2014.12.034 · Cited by 203 · see citing works

Predicting MCI outcome with clinically available MRI and CSF biomarkers

Heister, D. S., Brewer, J. B., Magda, S., Blennow, K., McEvoy, L. K., & Initiative, A. D. N. (2011) · Neurology · doi:10.1212/wnl.0b013e3182343314 · Cited by 201 · see citing works

Amyloid-first and neurodegeneration-first profiles characterize incident amyloid PET positivity

Jack, C. R., Wiste, H. J., Weigand, S. D., Knopman, D. S., Lowe, V. J., Vemuri, P., Mielke, M. M., Jones, D. T., Senjem, M. L., Gunter, J. L., et al. (2013) · Neurology · doi:10.1212/01.wnl.0000435556.21319.e4 · Cited by 200 · see citing works

Estimating long‐term multivariate progression from short‐term data

Donohue, M. C., Jacqmin‐Gadda, H., Le Goff, M., Thomas, R. G., Raman, R., Gamst, A. C., Beckett, L. A., Jack, C. R., Weiner, M. W., Dartigues, J., et al. (2014) · Alzheimer's &amp; Dementia · doi:10.1016/j.jalz.2013.10.003 · Cited by 197 · see citing works

Boosting power for clinical trials using classifiers based on multiple biomarkers

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Prediction of dementia in MCI patients based on core diagnostic markers for Alzheimer disease

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Algebraic Connectivity of Brain Networks Shows Patterns of Segregation Leading to Reduced Network Robustness in Alzheimer’s Disease

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Bivariate Genome-Wide Association Study of Genetically Correlated Neuroimaging Phenotypes from DTI and MRI through a Seemingly Unrelated Regression Model

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Power Estimates for Voxel-Based Genetic Association Studies Using Diffusion Imaging

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Understanding scanner upgrade effects on brain integrity & connectivity measures

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IC‐P‐087: Evidence for intact CNS antioxidant defenses in cognitively intact individuals who are amyloid‐positive

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Evaluation of diffusion imaging protocols for the Alzheimer's disease Neuroimaging Initiative

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Disrupted Brain Connectivity in Alzheimer’s Disease: Effects of Network Thresholding

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The 20th Annual Meeting of ISMRM, Melbourne, Australia, 2012

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Association Between Longitudinal Plasma Neurofilament Light and Neurodegeneration in Patients With Alzheimer Disease

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Associations of Regional Brain Structural Differences With Aging, Modifiable Risk Factors for Dementia, and Cognitive Performance

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Atrophy and cognitive profiles in older adults with temporal lobe epilepsy are similar to mild cognitive impairment

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ScFv-conjugated superparamagnetic iron oxide nanoparticles for MRI-based diagnosis in transgenic mouse models of Parkinson’s and Huntington’s diseases

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Early Alzheimer’s Disease Detection: A Review of Machine Learning Techniques for Forecasting Transition from Mild Cognitive Impairment

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Obesity-Associated Neurodegeneration Pattern Mimics Alzheimer’s Disease in an Observational Cohort Study

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