Evolving Evidence for the Value of Neuroimaging Methods and Biological Markers in Subjects Categorized with Subjective Cognitive Decline

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

Imaging brain amyloid in Alzheimer's disease with Pittsburgh Compound‐B

Klunk, W. E., Engler, H., Nordberg, A., Wang, Y., Blomqvist, G., Holt, D. P., Bergström, M., Savitcheva, I., Huang, G., Estrada, S., et al. (2004) · Annals of Neurology · doi:10.1002/ana.20009 · Cited by 4,496 · see citing works

Meta-Analysis of 74,046 Individuals Identifies 11 New Susceptibility Loci for Alzheimer’s Disease

(EADI), E. A. D. I., Lambert, J.-C., (GERAD), G. A. E. R. I. A. D., Alzheimer's Disease Genetic Consortium (ADGC), (CHARGE), C. F. H. A. A. R. I. G. E., Ibrahim-Verbaas, C. A., Harold, D., Naj, A. C., Sims, R., Bellenguez, C., et al. (2013) · Nature Genetics · doi:10.1038/ng.2802 · Cited by 4,336 · see citing works

How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging

Andersson, J. L. R., Skare, S., & Ashburner, J. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00336-7 · Cited by 3,469 · see citing works

A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer's disease

Jessen, F., Amariglio, R. E., van Boxtel, M., Breteler, M., Ceccaldi, M., Chételat, G., Dubois, B., Dufouil, C., Ellis, K. A., van der Flier, W. M., et al. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.01.001 · Cited by 3,014 · see citing works

Diffusional kurtosis imaging: the quantification of non‐gaussian water diffusion by means of magnetic resonance imaging

Jensen, J. H., Helpern, J. A., Ramani, A., Lu, H., & Kaczynski, K. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20508 · Cited by 2,488 · see citing works

Potential for primary prevention of Alzheimer's disease: an analysis of population-based data

Norton, S., Matthews, F. E., Barnes, D. E., Yaffe, K., & Brayne, C. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70136-x · Cited by 2,466 · see citing works

Q-ball imaging

Tuch, D. S. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20279 · Cited by 1,880 · see citing works

Revising the definition of Alzheimer's disease: a new lexicon

Dubois, B., Feldman, H. H., Jacova, C., Cummings, J. L., DeKosky, S. T., Barberger-Gateau, P., Delacourte, A., Frisoni, G., Fox, N. C., Galasko, D., et al. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(10)70223-4 · Cited by 1,869 · see citing works

Cerebrospinal fluid and plasma biomarkers in Alzheimer disease

Blennow, K., Hampel, H., Weiner, M., & Zetterberg, H. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2010.4 · Cited by 1,863 · see citing works

Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia

Song, S.-K., Sun, S.-W., Ju, W.-K., Lin, S.-J., Cross, A. H., & Neufeld, A. H. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.07.005 · Cited by 1,738 · see citing works

MRI quantification of non-gaussian water diffusion by kurtosis analysis

Jensen, J. H., & Helpern, J. A. (2010) · NMR in Biomedicine · doi:10.1002/nbm.1518 · Cited by 1,251 · see citing works

Risk of dementia and mild cognitive impairment in older people with subjective memory complaints: meta-analysis

Mitchell, A. J., Beaumont, H., Ferguson, D. Y., Yadegarfar, M., & Stubbs, B. (2014) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.12336 · Cited by 1,171 · see citing works

Automatic classification of MR scans in Alzheimer’s disease.

Kloppel, S., Stonnington, C. M., Chu, C., Draganski, B., Scahill, R. I., Rohrer, J. D., Fox, N. C., Jack, C. R., Ashburner, J., & Frackowiak, R. S. J. (2008) · Brain · doi:10.1093/brain/awm319 · Cited by 1,170 · see citing works

Frequent amyloid deposition without significant cognitive impairment among the elderly

Aizenstein, H. J., Nebes, R. D., Saxton, J. A., Price, J. C., Mathis, C. A., Tsopelas, N. D., Ziolko, S. K., James, J. A., Snitz, B. E., Houck, P. R., et al. (2008) · Archives of Neurology · doi:10.1001/archneur.65.11.1509 · Cited by 1,059 · see citing works

Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review

Orrù, G., Pettersson-Yeo, W., Marquand, A. F., Sartori, G., & Mechelli, A. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.01.004 · Cited by 1,012 · see citing works

Amyloid imaging results from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging

Rowe, C. C., Ellis, K. A., Rimajova, M., Bourgeat, P., Pike, K. E., Jones, G., Fripp, J., Tochon-Danguy, H., Morandeau, L., O'Keefe, G., et al. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.04.007 · Cited by 986 · see citing works

Functional brain abnormalities in young adults at genetic risk for late-onset Alzheimer's dementia

Reiman, E. M., Chen, K., Alexander, G. E., Caselli, R. J., Bandy, D., Osborne, D., Saunders, A. M., & Hardy, J. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2635903100 · Cited by 977 · see citing works

Identification of preclinical Alzheimer's disease by a profile of pathogenic proteins in neurally derived blood exosomes: A case‐control study

Fiandaca, M. S., Kapogiannis, D., Mapstone, M., Boxer, A., Eitan, E., Schwartz, J. B., Abner, E. L., Petersen, R. C., Federoff, H. J., Miller, B. L., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.06.008 · Cited by 959 · see citing works

Cerebrospinal Fluid tau/β-Amyloid42 Ratio as a Prediction of Cognitive Decline in Nondemented Older Adults

Fagan, A. M., Roe, C. M., Xiong, C., Mintun, M. A., Morris, J. C., & Holtzman, D. M. (2007) · Archives of Neurology · doi:10.1001/archneur.64.3.noc60123 · Cited by 897 · see citing works

The Preclinical Alzheimer Cognitive Composite: Measuring Amyloid-Related Decline

Donohue, M. C., Sperling, R. A., Salmon, D. P., Rentz, D. M., Raman, R., Thomas, R. G., Weiner, M., & Aisen, P. S. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.803 · Cited by 860 · see citing works

Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain

Assaf, Y., & Basser, P. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.03.042 · Cited by 856 · see citing works

Cerebral PET with florbetapir compared with neuropathology at autopsy for detection of neuritic amyloid-β plaques: a prospective cohort study

Clark, C. M., Pontecorvo, M. J., Beach, T. G., Bedell, B. J., Coleman, R. E., Doraiswamy, P. M., Fleisher, A. S., Reiman, E. M., Sabbagh, M. N., Sadowsky, C. H., et al. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70142-4 · Cited by 855 · see citing works

Fibrillar amyloid-β burden in cognitively normal people at 3 levels of genetic risk for Alzheimer's disease

Reiman, E. M., Chen, K., Liu, X., Bandy, D., Yu, M., Lee, W., Ayutyanont, N., Keppler, J., Reeder, S. A., Langbaum, J. B. S., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900345106 · Cited by 785 · see citing works

Amyloid Deposition, Hypometabolism, and Longitudinal Cognitive Decline

Landau, S. M., Mintun, M., Joshi, A. D., Koeppe, R., Petersen, R. C., Aisen, P., Weiner, M., & Jagust, W. J. (2012) · Annals of Neurology · doi:10.1002/ana.23650 · Cited by 723 · see citing works

Alzheimer' Disease as a Disconnection Syndrome?

Delbeuck, X., der Linden, M. V., & Collette, F. (2003) · Neuropsychology Review · doi:10.1023/a:1023832305702 · Cited by 708 · see citing works

Diffusion MRI of complex neural architecture.

Tuch, D. S., Reese, T. G., Wiegell, M. R., & Wedeen, V. J. (2003) · Neuron · doi:10.1016/s0896-6273(03)00758-x · Cited by 698 · see citing works

Prediction of Dementia by Subjective Memory Impairment Effects of Severity and Temporal Association With Cognitive Impairment Dementia and Subjective Memory Impairment

Jessen, F. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.30 · Cited by 681 · see citing works

Cerebrospinal Fluid Levels ofβ-Amyloid 1-42, but Not of Tau, Are Fully Changed Already 5 to 10 Years Before the Onset of Alzheimer Dementia

Buchhave, P. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.155 · Cited by 664 · see citing works

Neuropathology and Cognitive Impairment in Alzheimer Disease: A Complex but Coherent Relationship

Nelson, P. T., Braak, H., & Markesbery, W. R. (2009) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e3181919a48 · Cited by 643 · see citing works

Biomarkers for Alzheimer's disease: academic, industry and regulatory perspectives

Hampel, H. J., Frank, R., Broich, K., Teipel, S. J., Katz, R. G., Hardy, J., Herholz, K., Bokde, A. L. W., Jessen, F., Hoessler, Y. C., et al. (2010) · Nature Reviews Drug Discovery · doi:10.1038/nrd3115 · Cited by 630 · see citing works

Two-year follow-up of amyloid deposition in patients with Alzheimer's disease

Engler, H., Forsberg, A., Almkvist, O., Blomquist, G., Larsson, E., Savitcheva, I., Wall, A. E., Ringheim, A., Långström, B., & Nordberg, A. K. (2006) · Brain · doi:10.1093/brain/awl178 · Cited by 614 · see citing works

Prevalence and prognostic value of CSF markers of Alzheimer's disease pathology in patients with subjective cognitive impairment or mild cognitive impairment in the DESCRIPA study: a prospective cohort study

Visser, P. J., Verhey, F., Knol, D. L., Scheltens, P., Wahlund, L.-O., Freund-Levi, Y., Tsolaki, M., Minthon, L., Wallin, Å. K., Hampel, H., et al. (2009) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70139-5 · Cited by 614 · see citing works

Antemortem MRI findings correlate with hippocampal neuropathology in typical aging and dementia

Jack, C. R., Dickson, D. W., Parisi, J. E., Xu, Y. C., Cha, R. H., O’Brien, P. C., Edland, S. D., Smith, G. E., Boeve, B. F., Tangalos, E. G., et al. (2002) · Neurology · doi:10.1212/wnl.58.5.750 · Cited by 610 · see citing works

Cerebral amyloid deposition and diffuse plaques in ``normal'' aging: Evidence for presymptomatic and very mild Alzheimer's disease

Morris, J. C., Storandt, M., McKeel, D. W., Rubin, E. H., Price, J. L., Grant, E. A., & Berg, L. (1996) · Neurology · doi:10.1212/wnl.46.3.707 · Cited by 603 · see citing works

Older adults with cognitive complaints show brain atrophy similar to that of amnestic MCI

Saykin, A. J., Wishart, H. A., Rabin, L. A., Santulli, R. B., Flashman, L. A., West, J. D., McHugh, T., & Mamourian, A. C. (2006) · Neurology · doi:10.1212/01.wnl.0000234032.77541.a2 · Cited by 584 · see citing works

Outcome over seven years of healthy adults with and without subjective cognitive impairment

Reisberg, B., Shulman, M. B., Torossian, C., Leng, L., & Zhu, W. (2010) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2009.10.002 · Cited by 568 · see citing works

Conversion of amyloid positive and negative MCI to AD over 3 years

Okello, A., Koivunen, J., Edison, P., Archer, H. A., Turkheimer, F., Någren, K., Bullock, R. M., Walker, Z., Kennedy, A. M., Fox, N. C., et al. (2009) · Neurology · doi:10.1212/wnl.0b013e3181b23564 · Cited by 522 · see citing works

DTI measures in crossing-fibre areas: increased diffusion anisotropy reveals early white matter alteration in MCI and mild Alzheimer’s disease

Douaud, G., Jbabdi, S., Behrens, T. E. J., Menke, R. A., Gass, A., Monsch, A. U., Rao, A., Whitcher, B., Kindlmann, G., Matthews, P. M., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.008 · Cited by 514 · see citing works

Tau imaging: early progress and future directions

Villemagne, V. L., Fodero-Tavoletti, M. T., Masters, C. L., & Rowe, C. C. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70252-2 · Cited by 501 · see citing works

White matter changes in mild cognitive impairment and AD: a diffusion tensor imaging study

Medina, D., deToledo-Morrell, L., Urresta, F., Gabrieli, J. D. E., Moseley, M., Fleischman, D., Bennett, D. A., Leurgans, S., Turner, D. A., & Stebbins, G. T. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.03.026 · Cited by 492 · see citing works

Association Between Memory Complaints and Incident Alzheimer’s Disease in Elderly People With Normal Baseline Cognition

Geerlings, M. I., Jonker, C., Bouter, L. M., Adèr, H. J., & Schmand, B. (1999) · American Journal of Psychiatry · doi:10.1176/ajp.156.4.531 · Cited by 487 · see citing works

MRI-derived entorhinal and hippocampal atrophy in incipient and very mild Alzheimer’s disease ☆ ☆This research was supported by grants P01 AG09466 and P30 AG10161 from the National Institute on Aging, National Institutes of Health.

Dickerson, B. C., Goncharova, I. I., Sullivan, M., Forchetti, C., Wilson, R. S., Bennett, D. A., Beckett, L. A., & deToledo‐Morrell, L. (2001) · Neurobiology of Aging · doi:10.1016/s0197-4580(01)00271-8 · Cited by 481 · see citing works

Subjective cognitive complaints and amyloid burden in cognitively normal older individuals

Amariglio, R. E., Becker, J. A., Carmasin, J., Wadsworth, L. P., Lorius, N., Sullivan, C., Maye, J. E., Gidicsin, C., Pepin, L. C., Sperling, R. A., et al. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.08.011 · Cited by 472 · see citing works

The histological validation of post mortem magnetic resonance imaging-determined hippocampal volume in Alzheimer's disease

Bobinski, M., de Leon, M. J., Wegiel, J., DeSanti, S., Convit, A., Saint Louis, L. A., Rusinek, H., & Wisniewski✠, H. M. (1999) · Neuroscience · doi:10.1016/s0306-4522(99)00476-5 · Cited by 455 · see citing works

Diffusion Kurtosis Imaging: An Emerging Technique for Evaluating the Microstructural Environment of the Brain

Steven, A. J., Zhuo, J., & Melhem, E. R. (2013) · American Journal of Roentgenology · doi:10.2214/ajr.13.11365 · Cited by 404 · see citing works

Combining Early Markers Strongly Predicts Conversion from Mild Cognitive Impairment to Alzheimer's Disease

Devanand, D. P., Liu, X., Tabert, M. H., Pradhaban, G., Cuasay, K., Bell, K. L., de Leon, M. J., Doty, R. L., Stern, Y., & Pelton, G. H. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.06.020 · Cited by 398 · see citing works

Relationship between atrophy and β‐amyloid deposition in Alzheimer disease

Chételat, G., Villemagne, V. L., Bourgeat, P., Pike, K. E., Jones, G., Ames, D., Ellis, K. A., Szoeke, C., Martins, R. N., O'Keefe, G. J., et al. (2010) · Annals of Neurology · doi:10.1002/ana.21955 · Cited by 373 · see citing works

Physical and cognitive functioning of people older than 90 years: a comparison of two Danish cohorts born 10 years apart

Christensen, K., Thinggaard, M., Oksuzyan, A., Steenstrup, T., Andersen‐Ranberg, K., Jeune, B., McGue, M. K., & Vaupel, J. W. (2013) · The Lancet · doi:10.1016/s0140-6736(13)60777-1 · Cited by 369 · see citing works

Amyloid imaging in cognitively normal individuals, at-risk populations and preclinical Alzheimer's disease

Chételat, G., Joie, R. L., Villain, N., Perrotin, A., Sayette, V. D. L., Eustache, F., & Vandenberghe, R. R. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.02.006 · Cited by 353 · see citing works

MR diffusion kurtosis imaging for neural tissue characterization

Wu, E. X., & Cheung, M. (2010) · NMR in Biomedicine · doi:10.1002/nbm.1506 · Cited by 352 · see citing works

Magnetoencephalographic evaluation of resting-state functional connectivity in Alzheimer's disease

Stam, C. J., Jones, B. F., Manshanden, I., van Walsum, A. M. V. C., Montez, T., Verbunt, J. P. A., de Munck, J. C., van Dijk, B. W., Berendse, H. W., & Scheltens, P. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.05.033 · Cited by 328 · see citing works

The pre-mild cognitive impairment, subjective cognitive impairment stage of Alzheimer’s disease.

Reisberg, B., Prichep, L., Mosconi, L., John, E. R., Glodzik‐Sobanska, L., Boksay, I., Monteiro, I., Torossian, C., Vedvyas, A., Ashraf, N., et al. (2008) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2007.11.017 · Cited by 312 · see citing works

The future of blood‐based biomarkers for Alzheimer's disease

Henriksen, K., O’Bryant, S. E., Hampel, H. J., Trojanowski, J. Q., Montine, T. J., Jeromin, A., Blennow, K., Lönneborg, A., Wyss‐Coray, T., Soares, H. D., et al. (2013) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2013.01.013 · Cited by 312 · see citing works

Biological parametric mapping: A statistical toolbox for multimodality brain image analysis

Casanova, R., Ryali, S., Baer, A., Laurienti, P. J., Burdette, J. H., Hayasaka, S., Flowers, L., Wood, F., & Maldjian, J. A. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.011 · Cited by 302 · see citing works

Subjective Cognition and Amyloid Deposition Imaging: A Pittsburgh Compound B Positron Emission Tomography Study in Normal Elderly Individuals

Perrotin, A. (2012) · Archives of Neurology · doi:10.1001/archneurol.2011.666 · Cited by 300 · see citing works

Guidelines for the standardization of preanalytic variables for blood‐based biomarker studies in Alzheimer's disease research

O’Bryant, S. E., Gupta, V. B., Henriksen, K., Edwards, M., Jeromin, A., Lista, S., Bazenet, C. E., Soares, H. D., Lovestone, S., Hampel, H. J., et al. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.08.099 · Cited by 290 · see citing works

Longitudinal cognitive decline is associated with fibrillar amyloid-beta measured by [ ¹¹ C]PiB

Resnick, S. M., Sojkova, J., Zhou, Y., An, Y., Ye, W., Holt, D. P., Dannals, R. F., Mathis, C. A., Klunk, W. E., Ferrucci, L., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181d3e3e9 · Cited by 288 · see citing works

Prediction of longitudinal cognitive decline in normal elderly with subjective complaints using electrophysiological imaging

Prichep, L. S., John, E. R., Ferris, S. H., Rausch, L., Fang, Z., Cancro, R., Torossian, C., & Reisberg, B. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.07.021 · Cited by 278 · see citing works

Glucose metabolism, gray matter structure, and memory decline in subjective memory impairment

Scheef, L., Spottke, A., Daerr, M., Joe, A., Striepens, N., Kölsch, H., Popp, J., Daamen, M., Gorris, D., Heneka, M. T., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e31826c1a8d · Cited by 277 · see citing works

Orthogonal tensor invariants and the analysis of diffusion tensor magnetic resonance images

Ennis, D. B., & Kindlmann, G. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20741 · Cited by 276 · see citing works

Volume reduction of the entorhinal cortex in subjective memory impairment

Jessen, F., Feyen, L., Freymann, K., Tepest, R., Maier, W., Heun, R., Schild, H. H., & Scheef, L. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.10.010 · Cited by 276 · see citing works

Vascular Structure and Function Is Correlated to Cognitive Performance and White Matter Hyperintensities in Older Hypertensive Patients With Subjective Memory Complaints

Kearney-Schwartz, A., Rossignol, P., Bracard, S., Felblinger, J., Fay, R., Boivin, J.-M., Lecompte, T., Lacolley, P., Benetos, A., & Zannad, F. (2009) · Stroke · doi:10.1161/strokeaha.108.532853 · Cited by 274 · see citing works

CSF tau/Aβ 42 ratio for increased risk of mild cognitive impairment

Li, G., Sokal, I., Quinn, J. F., Leverenz, J. B., Brodey, M., Schellenberg, G. D., Kaye, J. A., Raskind, M. A., Zhang, J., Peskind, E. R., et al. (2007) · Neurology · doi:10.1212/01.wnl.0000267428.62582.aa · Cited by 274 · see citing works

Diffusion tensor imaging in mild cognitive impairment and Alzheimerʼs disease: a review

Chua, T. C., Wen, W., Slavin, M. J., & Sachdev, P. S. (2008) · Current Opinion in Neurology · doi:10.1097/wco.0b013e3282f4594b · Cited by 273 · see citing works

Florbetapir (F18‐AV‐45) PET to assess amyloid burden in Alzheimer's disease dementia, mild cognitive impairment, and normal aging

Johnson, K. A., Sperling, R. A., Gidicsin, C. M., Carmasin, J. S., Maye, J. E., Coleman, R. E., Reiman, E. M., Sabbagh, M. N., Sadowsky, C. H., Fleisher, A. S., et al. (2013) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2012.10.007 · Cited by 270 · see citing works

Prediction of Alzheimer's disease in subjects with mild cognitive impairment from the ADNI cohort using patterns of cortical thinning

Eskildsen, S. F., Pierrick Coupé, A., García-Lorenzo, D., Fonov, V., Pruessner, J. C., & Collins, D. L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.058 · Cited by 269 · see citing works

Untitled work

(2006) · PubMed · Cited by 269 · see citing works

Prediction of Alzheimer's disease and mild cognitive impairment using cortical morphological patterns

Chong-yaw Wee, A., Yap, P., Shen, D. G., & Initiative, A. D. N. (2012) · Human Brain Mapping · doi:10.1002/hbm.22156 · Cited by 255 · see citing works

Accurate multimodal probabilistic prediction of conversion to Alzheimer’s disease in patients with mild cognitive impairment

Young, J., Modat, M., Cardoso, M. J., Mendelson, A., Cash, D., & Ourselin, S. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.05.004 · Cited by 249 · see citing works

Common variants at 12q14 and 12q24 are associated with hippocampal volume

Bis, J., Decarli, C., Smith, A., van der Lijn, F., Crivello, F., Fornage, M., Debette, S., Shulman, J. M., Schmidt, H., Srikanth, V., et al. (2012) · Nature Genetics · doi:10.1038/ng.2237 · Cited by 249 · see citing works

Integrating VBM into the General Linear Model with voxelwise anatomical covariates

Oakes, T. R., Fox, A. S., Johnstone, T., Chung, M. K., Kalin, N. H., & Davidson, R. J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.10.007 · Cited by 247 · see citing works

Correlates of hippocampal neuron number in Alzheimer's disease and ischemic vascular dementia

Zarow, C., Vinters, H. V., Ellis, W. G., Weiner, M. W., Mungas, D., White, L., & Chui, H. C. (2005) · Annals of Neurology · doi:10.1002/ana.20503 · Cited by 241 · see citing works

Hypometabolism and Altered Cerebrospinal Fluid Markers in Normal Apolipoprotein E E4 Carriers with Subjective Memory Complaints

Mosconi, L., De Santi, S., Brys, M., Tsui, W. H., Pirraglia, E., Glodzik-Sobanska, L., Rich, K. E., Switalski, R., Mehta, P. D., Pratico, D., et al. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.05.030 · Cited by 238 · see citing works

Diffusion tensor imaging and tract-based spatial statistics in Alzheimer's disease and mild cognitive impairment

Liu, Y., Spulber, G., Lehtimäki, K. K., Könönen, M., Hallikainen, I., Gröhn, H., Kivipelto, M., Hallikainen, M., Vanninen, R., & Soininen, H. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.10.006 · Cited by 236 · see citing works

A Serum Protein–Based Algorithm for the Detection of Alzheimer Disease

O’Bryant, S. E. (2010) · Archives of Neurology · doi:10.1001/archneurol.2010.215 · Cited by 229 · see citing works

Amyloid-β assessed by florbetapir F 18 PET and 18-month cognitive decline

Doraiswamy, P. M., Sperling, R. A., Coleman, R. E., Johnson, K. A., Reiman, E. M., Davis, M. D., Grundman, M., Sabbagh, M. N., Sadowsky, C., Fleisher, A., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e3182661f74 · Cited by 228 · see citing works

Age‐related non‐Gaussian diffusion patterns in the prefrontal brain

Falangola, M. F., Jensen, J. H., Babb, J. S., Hu, C., Castellanos, F. X., Martino, A. D., Ferris, S. H., & Helpern, J. A. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21604 · Cited by 227 · see citing works

Amyloid imaging and CSF biomarkers in predicting cognitive impairment up to 7.5 years later

Roe, C. M., Fagan, A. M., Grant, E. A., Hassenstab, J., Moulder, K. L., Maue Dreyfus, D., Sutphen, C. L., Benzinger, T. L. S., Mintun, M. A., Holtzman, D. M., et al. (2013) · Neurology · doi:10.1212/wnl.0b013e3182918ca6 · Cited by 222 · see citing works

Diffusion Tensor Imaging of Normal-Appearing White Matter in Mild Cognitive Impairment and Early Alzheimer Disease: Preliminary Evidence of Axonal Degeneration in the Temporal Lobe

Huang, J., Friedland, R. P., & Auchus, A. P. (2007) · American Journal of Neuroradiology · doi:10.3174/ajnr.a0700 · Cited by 220 · see citing works

Cerebrospinal fluid -amyloid 1-42 concentration may predict cognitive decline in older women

Gustafson, D. R., Skoog, I., Rosengren, L., Zetterberg, H., & Blennow, K. (2006) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2006.100529 · Cited by 214 · see citing works

Multiple instance learning for classification of dementia in brain MRI

Tong, T., Wolz, R., Gao, Q., Guerrero, R., Hajnal, J. V., & Rueckert, D. (2014) · Medical Image Analysis · doi:10.1016/j.media.2014.04.006 · Cited by 213 · see citing works

Preservation of Neuronal Number Despite Age-Related Cortical Brain Atrophy in Elderly Subjects Without Alzheimer Disease

Freeman, S. H., Kandel, R., Cruz, L., Rozkalne, A., Newell, K. L., Frosch, M. P., Hedley‐Whyte, E. T., Locascio, J. J., Lipsitz, L. A., & Hyman, B. T. (2008) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e31818fc72f · Cited by 212 · see citing works

Fornix integrity and hippocampal volume predict memory decline and progression to Alzheimer's disease

Mielke, M. M., Okonkwo, O. C., Oishi, K., Mori, S., Tighe, S. K., Miller, M. I., Ceritoglu, C., Brown, T., Albert, M., & Lyketsos, C. G. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2011.05.2416 · Cited by 209 · see citing works

Memory complaints in patients with normal cognition are associated with smaller hippocampal volumes

van der Flier, W. M., van Buchem, M. A., Weverling‐Rijnsburger, A. W. E., Mutsaers, E., Bollen, E. L. E. M., Behloul, F., Westendorp, R. J., & Middelkoop, H. A. M. (2004) · Journal of Neurology · doi:10.1007/s00415-004-0390-7 · Cited by 199 · see citing works

Plasma proteins predict conversion to dementia from prodromal disease

Hye, A., Riddoch‐Contreras, J., Baird, A. L., Ashton, N. J., Bazenet, C. E., Leung, R., Westman, E., Simmons, A., Dobson, R., Sattlecker, M., et al. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.05.1749 · Cited by 198 · see citing works

Cerebrospinal fluid Aβ42 is the best predictor of clinical progression in patients with subjective complaints

van Harten, A. C., Visser, P. J., Pijnenburg, Y. A. L., Teunissen, C. E., Blankenstein, M. A., Scheltens, P., & van der Flier, W. M. (2013) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2012.08.004 · Cited by 197 · see citing works

Cerebrospinal Fluid Beta-Amyloid 42 Is Reduced before the Onset of Sporadic Dementia: A Population-Based Study in 85-Year-Olds

Skoog, I., Davidsson, P., Aevarsson, Ó., Vanderstichele, H., Vanmechelen, E., & Blennow, K. (2003) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000068478 · Cited by 194 · see citing works

Elevated hippocampal resting-state connectivity underlies deficient neurocognitive function in aging

Salami, A., Pudas, S., & Nyberg, L. H. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1410233111 · Cited by 192 · see citing works

Self-reported memory complaints

Kryscio, R. J., Abner, E. L., Cooper, G. E., Fardo, D. W., Jicha, G. A., Nelson, P. T., Smith, C. D., Eldik, L. J. V., Wan, L., & Schmitt, F. A. (2014) · Neurology · doi:10.1212/wnl.0000000000000856 · Cited by 191 · see citing works

Longitudinal Change of Biomarkers in Cognitive Decline

Lo, R. Y. (2011) · Archives of Neurology · doi:10.1001/archneurol.2011.123 · Cited by 190 · see citing works

Aβ-independent processes—rethinking preclinical AD

Chételat, G. (2013) · Nature Reviews Neurology · doi:10.1038/nrneurol.2013.21 · Cited by 184 · see citing works

Brain injury biomarkers are not dependent on β‐amyloid in normal elderly

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., Mielke, M. M., et al. (2013) · Annals of Neurology · doi:10.1002/ana.23816 · Cited by 183 · see citing works

Volume Loss of the Medial Temporal Lobe Structures in Subjective Memory Impairment

Striepens, N., Scheef, L., Wind, A., Popp, J., Spottke, A. E., Cooper‐Mahkorn, D., Suliman, H., Wagner, M., Schild, H. H., & Jessen, F. (2010) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000264630 · Cited by 182 · see citing works

Brain microstructure reveals early abnormalities more than two years prior to clinical progression from mild cognitive impairment to Alzheimer's disease

Douaud, G., Menke, R. A. L., Gass, A., Monsch, A. U., Rao, A., Whitcher, B., Zamboni, G., Matthews, P. M., Sollberger, M., & Smith, S. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.4437-12.2013 · Cited by 180 · see citing works

Developing novel blood‐based biomarkers for Alzheimer's disease

Snyder, H. M., Carrillo, M. C., Grodstein, F., Henriksen, K., Jeromin, A., Lovestone, S., Mielke, M. M., O'Bryant, S., Sarasa, M., Sj⊘gren, M., et al. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.10.007 · Cited by 177 · see citing works

Longitudinal Changes in Fiber Tract Integrity in Healthy Aging and Mild Cognitive Impairment: A DTI Follow-Up Study

Teipel, S. J., Meindl, T., Wagner, M., Stieltjes, B., Reuter, S., Hauenstein, K.-H., Filippi, M., Ernemann, U., Reiser, M. F., & Hampel, H. J. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-100234 · Cited by 173 · see citing works

Electroencephalography and event‐related potentials as biomarkers of mild cognitive impairment and mild Alzheimer's disease

Jackson, C. E., & Snyder, P. J. (2007) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2007.10.008 · Cited by 172 · see citing works

Increased Functional Connectivity and Brain Atrophy in Elderly with Subjective Memory Complaints

Hafkemeijer, A., Altmann‐Schneider, I., Oleksik, A. M., van de Wiel, L., Middelkoop, H. A. M., van Buchem, M. A., van der Grond, J., & Rombouts, S. A. R. B. (2013) · Brain Connectivity · doi:10.1089/brain.2013.0144 · Cited by 169 · see citing works

Gray matter atrophy pattern in elderly with subjective memory impairment

Peter, J., Scheef, L., Abdulkadir, A., Boecker, H., Heneka, M., Wagner, M., Koppara, A., Klöppel, S., Jessen, F., & Initiative, A. D. N. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.05.1764 · Cited by 165 · see citing works

Cerebrospinal Fluid Biomarkers Predict Decline in Subjective Cognitive Function over 3 Years in Healthy Elderly

Stomrud, E., Hansson, O., Blennow, K., Minthon, L., & Londos, E. (2007) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000105017 · Cited by 164 · see citing works

Indicators of amyloid burden in a population-based study of cognitively normal elderly

Mielke, M. M., Wiste, H. J., Weigand, S. D., Knopman, D. S., Lowe, V. J., Roberts, R. O., Geda, Y. E., Swenson-Dravis, D. M., Boeve, B. F., Senjem, M. L., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e31826e2696 · Cited by 163 · see citing works

Abnormal retinal nerve fiber layer thickness and macula lutea in patients with mild cognitive impairment and Alzheimer's disease

Gao, L., Liu, Y., Li, X., Bai, Q., & Liu, P. (2014) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2014.10.011 · Cited by 155 · see citing works

Longitudinal neuroimaging correlates of subjective memory impairment: 4-year prospective community study

Stewart, R. J., Godin, O., Crivello, F., Maillard, P., Mazoyer, B. M., Tzourio, C., & Dufouil, C. (2011) · The British Journal of Psychiatry · doi:10.1192/bjp.bp.110.078683 · Cited by 154 · see citing works

Measurements of the Amygdala and Hippocampus in Pathologically Confirmed Alzheimer Disease and Frontotemporal Lobar Degeneration

Barnes, J., Whitwell, J. L., Frost, C. D., Josephs, K. A., Rossor, M. N., & Fox, N. C. (2006) · Archives of Neurology · doi:10.1001/archneur.63.10.1434 · Cited by 152 · see citing works

Biological Marker Candidates of Alzheimer's Disease in Blood, Plasma, and Serum

Schneider, P., Hampel, H. J., & Büerger, K. (2009) · CNS Neuroscience & Therapeutics · doi:10.1111/j.1755-5949.2009.00104.x · Cited by 151 · see citing works

Evidence of Neuronal Compensation During Episodic Memory in Subjective Memory Impairment

Erk, S. (2011) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.80 · Cited by 147 · see citing works

Novel White Matter Tract Integrity Metrics Sensitive to Alzheimer Disease Progression

Fieremans, E., Benitez, A. M., Jensen, J. H., Falangola, M. F., Tabesh, A., Deardorff, R. L., Spampinato, M. V., Babb, J. S., Novikov, D. S., Ferris, S. H., et al. (2013) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3553 · Cited by 147 · see citing works

Increased brain atrophy rates in cognitively normal older adults with low cerebrospinal fluid Aβ1‐42

Schott, J. M., Bartlett, J. W., Fox, N. C., Barnes, J., & Initiative, A. D. N. (2010) · Annals of Neurology · doi:10.1002/ana.22315 · Cited by 145 · see citing works

Thinner changes of the retinal nerve fiber layer in patients with mild cognitive impairment and Alzheimer’s disease

Liu, D., Zhang, L., Li, Z., Zhang, X., Wu, Y., Yang, H., Min, B., Zhang, X., Ma, D., & Lu, Y. (2015) · BMC Neurology · doi:10.1186/s12883-015-0268-6 · Cited by 145 · see citing works

Preclinical AD predicts decline in memory and executive functions in subjective complaints

van Harten, A. C., Smits, L. L., Teunissen, C. E., Visser, P. J., Koene, T., Blankenstein, M. A., Scheltens, P., & van der Flier, W. M. (2013) · Neurology · doi:10.1212/wnl.0b013e3182a8418b · Cited by 143 · see citing works

Mild cognitive impairment with suspected nonamyloid pathology (SNAP): Prediction of progression

Caroli, A., Prestia, A., Galluzzi, S., Ferrari, C., van der Flier, W. M., Ossenkoppele, R., Van Berckel, B., Barkhof, F., Teunissen, C., Wall, A. E., et al. (2015) · Neurology · doi:10.1212/wnl.0000000000001209 · Cited by 142 · see citing works

Perspective on future role of biological markers in clinical therapy trials of Alzheimer's disease: A long-range point of view beyond 2020

Hampel, H. J., Lista, S., Teipel, S. J., Garaci, F., Nisticò, R., Blennow, K., Zetterberg, H., Bertram, L., Duyckaerts, C. J., Bakardjian, H., et al. (2013) · Biochemical Pharmacology · doi:10.1016/j.bcp.2013.11.009 · Cited by 141 · see citing works

MR Imaging of the Substantia Nigra at 7 T Enables Diagnosis of Parkinson Disease

Cosottini, M., Frosini, D., Pesaresi, I., Costagli, M., Biagi, L., Ceravolo, R., Bonuccelli, U., & Tosetti, M. (2014) · Radiology · doi:10.1148/radiol.14131448 · Cited by 141 · see citing works

Development of biomarkers to chart all Alzheimer's disease stages: The royal road to cutting the therapeutic Gordian Knot

Hampel, H. J., Lista, S., & Khachaturian, Z. S. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.05.2116 · Cited by 138 · see citing works

Injury markers predict time to dementia in subjects with MCI and amyloid pathology

van Rossum, I. A., Vos, S. J. B., Burns, L., Knol, D. L., Scheltens, P., Soininen, H., Wahlund, L.-O., Hampel, H., Tsolaki, M., Minthon, L., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e3182704056 · Cited by 136 · see citing works

Blood and plasma-based proteomic biomarker research in Alzheimer's disease

Lista, S., Faltraco, F., Prvulovic, D., & Hampel, H. J. (2012) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2012.06.007 · Cited by 131 · see citing works

Amyloid imaging as a biomarker for cerebral β-amyloidosis and risk prediction for Alzheimer dementia

Klunk, W. E. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.09.006 · Cited by 128 · see citing works

Associations between gonadotropins, testosterone and β amyloid in men at risk of Alzheimer’s disease

Verdile, G., Laws, S. M., Henley, D., Ames, D. J., Bush, A. I., Ellis, K. A., Faux, N. G., Gupta, V. B., Li, Q., Masters, C. L., et al. (2012) · Molecular Psychiatry · doi:10.1038/mp.2012.147 · Cited by 121 · see citing works

Multiple indices of diffusion identifies white matter damage in mild cognitive impairment and Alzheimer’s disease

O'Dwyer, L., Lamberton, F., Bokde, A. L. W., Ewers, M., Faluyi, Y. O., Tanner, C., Mazoyer, B., O'Neill, D., Bartley, M., Collins, D. R., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021745 · Cited by 119 · see citing works

Non-Gaussian diffusion MRI assessment of brain microstructure in mild cognitive impairment and Alzheimer’s disease

Falangola, M. F., Jensen, J. H., Tabesh, A., Hu, C., Deardorff, R. L., Babb, J. S., Ferris, S. H., & Helpern, J. A. (2013) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2013.02.008 · Cited by 118 · see citing works

Using support vector machines with multiple indices of diffusion for automated classification of mild cognitive impairment

O'Dwyer, L., Lamberton, F., Bokde, A. L. W., Ewers, M., Faluyi, Y. O., Tanner, C., Mazoyer, B., O'Neill, D., Bartley, M., Collins, D. R., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032441 · Cited by 117 · see citing works

Correlation of Longitudinal Cerebrospinal Fluid Biomarkers With Cognitive Decline in Healthy Older Adults

Stomrud, E., Hansson, O., Zetterberg, H., Blennow, K., Minthon, L., & Londos, E. (2010) · Archives of Neurology · doi:10.1001/archneurol.2009.316 · Cited by 116 · see citing works

Regionally specific atrophy of the corpus callosum in AD, MCI and cognitive complaints

Wang, P. J., Saykin, A. J., Flashman, L. A., Wishart, H. A., Rabin, L. A., Santulli, R. B., McHugh, T., MacDonald, J. W., & Mamourian, A. C. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.035 · Cited by 116 · see citing works

Evaluation of a Calibrated 18F-FDG PET Score as a Biomarker for Progression in Alzheimer Disease and Mild Cognitive Impairment

Herholz, K., Westwood, S., Haense, C., & Dunn, G. (2011) · Journal of Nuclear Medicine · doi:10.2967/jnumed.111.090902 · Cited by 114 · see citing works

Different multivariate techniques for automated classification of MRI data in Alzheimer’s disease and mild cognitive impairment

Aguilar, C., Westman, E., Muehlboeck, J., Mecocci, P., Vellas, B. J., Tsolaki, M., Kłoszewska, I., Soininen, H. S., Lovestone, S., Spenger, C., et al. (2013) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2012.11.005 · Cited by 113 · see citing works

How machine learning is shaping cognitive neuroimaging

Varoquaux, G. P., & Thirion, B. (2014) · GigaScience · doi:10.1186/2047-217x-3-28 · Cited by 112 · see citing works

Cognitively Preserved Subjects with Transitional Cerebrospinal Fluid ß-Amyloid 1-42 Values Have Thicker Cortex in Alzheimer's Disease Vulnerable Areas

Fortea, J., Sala‐Llonch, R., David Bartrés-faz, A., Lladó, A., Solé‐Padullés, C., Bosch, B., Antonell, A., Olives, J., Sánchez‐Valle, R., Molinuevo, J. L., et al. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.02.017 · Cited by 111 · see citing works

Selective changes in white matter integrity in MCI and older adults with cognitive complaints

Wang, Y., West, J. D., Flashman, L. A., Wishart, H. A., Santulli, R. B., Rabin, L. A., Pare, N., Arfanakis, K., & Saykin, A. J. (2012) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2011.08.002 · Cited by 110 · see citing works

White matter lesions defined by diffusion tensor imaging in older adults

Back, S. A., Kroenke, C. D., Sherman, L. S., Lawrence, G., Gong, X., Taber, E. N., Sonnen, J. A., Larson, E. B., & Montine, T. J. (2011) · Annals of Neurology · doi:10.1002/ana.22484 · Cited by 109 · see citing works

Antemortem differential diagnosis of dementia pathology using structural MRI: Differential-STAND

Vemuri, P., Simon, G., Kantarci, K., Whitwell, J. L., Senjem, M. L., Przybelski, S. A., Gunter, J. L., Josephs, K. A., Knopman, D. S., Boeve, B. F., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.073 · Cited by 108 · see citing works

Stronger effect of amyloid load than APOE genotype on cognitive decline in healthy older adults

Lim, Y. Y., Ellis, K. A., Pietrzak, R. H., Ames, D. J., Darby, D., Harrington, K., Martins, R. N., Masters, C. L., Rowe, C. C., Savage, G. R., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e31826e9ae6 · Cited by 107 · see citing works

Multicenter stability of diffusion tensor imaging measures: A European clinical and physical phantom study

Teipel, S. J., Reuter, S., Stieltjes, B., Acosta‐Cabronero, J., Ernemann, U., Fellgiebel, A., Filippi, M., Frisoni, G. B., Hentschel, F., Jessen, F., et al. (2011) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2011.05.012 · Cited by 107 · see citing works

Biomarkers in Sporadic and Familial Alzheimer’s Disease

Lista, S., O’Bryant, S. E., Blennow, K., Dubois, B., Hugon, J., Zetterberg, H., & Hampel, H. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-143006 · Cited by 106 · see citing works

Diffusion Tensor Imaging Surpasses Cerebrospinal Fluid as Predictor of Cognitive Decline and Medial Temporal Lobe Atrophy in Subjective Cognitive Impairment and Mild Cognitive Impairment

Selnes, P., Aarsland, D., Bjørnerud, A., Gjerstad, L., Wallin, A., Hessen, E., Reinvang, I., Grambaitė, R., Auning, E., Kjærvik, V. K., et al. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-121603 · Cited by 101 · see citing works

Correlating Cerebral Hypometabolism With Future Memory Decline in Subsequent Converters to Amnestic Pre–Mild Cognitive Impairment

Caselli, R. J., Chen, K., Lee, W., Alexander, G. E., & Reiman, E. M. (2008) · Archives of Neurology · doi:10.1001/archneurol.2008.1 · Cited by 101 · see citing works

Non-Gaussian diffusion imaging: a brief practical review

Santis, S. D., Gabrielli, A., Palombo, M., Maraviglia, B., & Capuani, S. (2011) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2011.04.006 · Cited by 100 · see citing works

How early can we predict Alzheimer's disease using computational anatomy?

Adaszewski, S., Dukart, J., Kherif, F., Frackowiak, R. S. J., & Draganski, B. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.06.015 · Cited by 99 · see citing works

Measurements of medial temporal lobe atrophy for prediction of Alzheimer's disease in subjects with mild cognitive impairment

Clerx, L., van Rossum, I. A., Burns, L., Knol, D. L., Scheltens, P., Verhey, F., Aalten, P., Lapuerta, P., van de Pol, L., van Schijndel, R., et al. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.02.002 · Cited by 98 · see citing works

Subjective cognitive impairment: Functional MRI during a divided attention task

Rodda, J. E., Dannhauser, T. M., Cutinha, D. J., Shergill, S. S., & Walker, Z. (2010) · European Psychiatry · doi:10.1016/j.eurpsy.2010.07.003 · Cited by 93 · see citing works

Non-Gaussian water diffusion in aging white matter

Coutu, J., Chen, J. J., Rosas, H. D., & Salat, D. H. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.12.001 · Cited by 89 · see citing works

Subjective cognitive impairment: increased prefrontal cortex activation compared to controls during an encoding task

Rodda, J. E., Dannhauser, T. M., Cutinha, D. J., Shergill, S. S., & Walker, Z. (2009) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2207 · Cited by 88 · see citing works

Validation of a Serum Screen for Alzheimer's Disease Across Assay Platforms, Species, and Tissues

O’Bryant, S. E., Xiao, G., Zhang, F., Edwards, M., German, D. C., Yin, X., Como, T., Reisch, J., Huebinger, R. M., Graff‐Radford, N. R., et al. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-141041 · Cited by 87 · see citing works

Cortical Thinning in Individuals with Subjective Memory Impairment

Meiberth, D., Scheef, L., Wolfsgruber, S., Boecker, H., Block, W., Träber, F., Erk, S., Heneka, M. T., Jacobi, H., Spottke, A., et al. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-142322 · Cited by 84 · see citing works

[18F]Flutemetamol PET imaging and cortical biopsy histopathology for fibrillar amyloid β detection in living subjects with normal pressure hydrocephalus: pooled analysis of four studies

Rinne, J. O., Wong, D. F., Wolk, D. A., Leinonen, V., Arnold, S. E., Buckley, C. J., Smith, A. P. L., McLain, R. W., Sherwin, P. F., Farrar, G., et al. (2012) · Acta Neuropathologica · doi:10.1007/s00401-012-1051-z · Cited by 82 · see citing works

Diffusion tensor MRI to investigate dementias: a brief review

Bozzali, M., & Cherubini, A. (2007) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2007.03.017 · Cited by 80 · see citing works

Aβ and cognitive change: Examining the preclinical and prodromal stages of Alzheimer's disease

Lim, Y. Y., Maruff, P. T., Pietrzak, R. H., Ellis, K. A., Darby, D., Ames, D. J., Harrington, K., Martins, R. N., Masters, C. L., Szoeke, C. E. I., et al. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2013.11.005 · Cited by 80 · see citing works

Staging Alzheimer's disease progression with multimodality neuroimaging

Ewers, M., Frisoni, G. B., Teipel, S. J., Grinberg, L. T., Amaro, E., Heinsen, H., Thompson, P. M., & Hampel, H. J. (2011) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2011.06.004 · Cited by 77 · see citing works

Cerebrospinal Fluid Biomarkers and Memory Present Distinct Associations along the Continuum from Healthy Subjects to AD Patients

Rami, L., Fortea, J., Bosch, B., Solé‐Padullés, C., Lladó, A., Iranzo, Á., Sánchez‐Valle, R., & Molinuevo, J. L. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-101422 · Cited by 76 · see citing works

CSF Aβ1‐42 combined with neuroimaging biomarkers in the early detection, diagnosis and prediction of Alzheimer's disease

Lista, S., Garaci, F., Ewers, M., Teipel, S. J., Zetterberg, H., Blennow, K., & Hampel, H. J. (2013) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2013.04.506 · Cited by 76 · see citing works

Are subjective cognitive complaints a risk factor for dementia?

Gallassi, R., Oppi, F., Poda, R., Scortichini, S., Maserati, M. S., Marano, G., & Sambati, L. (2010) · Neurological Sciences · doi:10.1007/s10072-010-0224-6 · Cited by 75 · see citing works

Can Trehalose Prevent Neurodegeneration? Insights from Experimental Studies

Emanuele, E. (2014) · Current Drug Targets · doi:10.2174/1389450115666140225104705 · Cited by 74 · see citing works

Apolipoprotein E, cardiovascular disease and cognitive function in aging women

Kang, J. H., Logroscino, G., Vivo, I. D., Hunter, D., & Grodstein, F. (2004) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2004.05.003 · Cited by 69 · see citing works

Hippocampal Atrophy Is Associated with Subjective Memory Decline: The PATH Through Life Study

Cherbuin, N., Sargent‐Cox, K. A., Easteal, S., Sachdev, P. S., & Anstey, K. J. (2014) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2014.07.009 · Cited by 68 · see citing works

Amyloid-β Related Memory Decline is not Associated with Subjective or Informant Rated Cognitive Impairment in Healthy Adults

Hollands, S., for the AIBL Research Group, Lim, Y. Y., Buckley, R., Pietrzak, R. H., Snyder, P. J., Ames, D., Ellis, K. A., Harrington, K., Lautenschlager, N., et al. (2014) · Journal of Alzheimer's Disease · doi:10.3233/jad-140678 · Cited by 67 · see citing works

Relationship between hippocampal volume and CA1 neuron loss in brains of humans with and without Alzheimer's disease

Kril, J. J., Hodges, J. R., & Halliday, G. M. (2004) · Neuroscience Letters · doi:10.1016/j.neulet.2004.02.001 · Cited by 66 · see citing works

Interaction effects of subjective memory impairment and ApoE4 genotype on episodic memory and hippocampal volume

Striepens, N., Scheef, L., Wind, A., Meiberth, D. U., Popp, J., Spottke, A. E., Kölsch, H., Wagner, M., & Jessen, F. (2011) · Psychological Medicine · doi:10.1017/s0033291711000067 · Cited by 63 · see citing works

Increased working memory-related brain activity in middle-aged women with cognitive complaints

Dumas, J. A., Kutz, A. M., McDonald, B. C., Naylor, M. R., Pfaff, A. C., Saykin, A. J., & Newhouse, P. A. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.08.013 · Cited by 61 · see citing works

EEG MARKERS FOR COGNITIVE DECLINE IN ELDERLY SUBJECTS WITH SUBJECTIVE MEMORY COMPLAINTS

ALEXANDER, D. M., ARNS, M. W., PAUL, R. H., ROWE, D. L., COOPER, N., ESSER, A. H., FALLAHPOUR, K., STEPHAN, B. C. M., HEESEN, E., BRETELER, R., et al. (2006) · Journal of Integrative Neuroscience · doi:10.1142/s0219635206001021 · Cited by 61 · see citing works

Molecular neuroimaging in Alzheimer’s disease

Jagust, W. (2004) · Neurotherapeutics · doi:10.1602/neurorx.1.2.206 · Cited by 59 · see citing works

A reconstruction of the conductive phenomena elicited by transcranial magnetic stimulation in heterogeneous brain tissue.

Toschi, N., Welt, T., Guerrisi, M., & Keck, M. (2008) · Physica medica (Testo stampato) · doi:10.1016/j.ejmp.2008.01.005 · Cited by 56 · see citing works

Florbetaben to Trace Amyloid-β in the Alzheimer Brain by Means of PET

Barthel, H., & Sabri, O. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-0068 · Cited by 54 · see citing works

Amyloid-β42 is Associated with Cognitive Impairment in Healthy Elderly and Subjective Cognitive Impairment

Rolstad, S., Berg, A. I., Bjerke, M., Blennow, K., Johansson, B. E. A., Zetterberg, H., & Wallin, A. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-110038 · Cited by 53 · see citing works

Transcranial magnetic stimulation in heterogeneous brain tissue: clinical impact on focality, reproducibility and true sham stimulation.

Toschi, N., Welt, T., Guerrisi, M., & Keck, M. (2009) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2008.04.008 · Cited by 45 · see citing works

Cerebrospinal Fluid Biomarkers for Alzheimer’s Disease: The Present and the Future

Ghidoni, R., Benussi, L., Paterlini, A., Albertini, V., Binetti, G. G., & Emanuele, E. (2011) · Neurodegenerative Diseases · doi:10.1159/000327756 · Cited by 44 · see citing works

Decoding Continuous Variables from Neuroimaging Data: Basic and Clinical Applications

Cohen, J. R., Asarnow, R. F., Sabb, F. W., Bilder, R. M., Bookheimer, S. Y., Knowlton, B. J., & Poldrack, R. A. (2011) · Frontiers in Neuroscience · doi:10.3389/fnins.2011.00075 · Cited by 44 · see citing works

White Matter Hyperintensities and Cognitive Dysfunction in Alzheimer Disease

Heo, J., Lee, S., Chu, K., Park, H.-J., Shim, J.-Y., & Kim, M. (2009) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988709335800 · Cited by 43 · see citing works

Slice accelerated diffusion‐weighted imaging at ultra‐high field strength

Eichner, C., Setsompop, K., Koopmans, P. J., Lützkendorf, R., Norris, D. G., Turner, R., Wald, L. L., & Heidemann, R. M. (2013) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24809 · Cited by 43 · see citing works

From inherited to sporadic AD—crossing the biomarker bridge

Hampel, H. J., & Lista, S. (2012) · Nature Reviews Neurology · doi:10.1038/nrneurol.2012.202 · Cited by 38 · see citing works

Five-year follow-up of 11C-PIB uptake in Alzheimer’s disease and MCI

Kemppainen, N. M., Scheinin, N. M., Koivunen, J., Johansson, J. J., Toivonen, J., Någren, K., Rokka, J., Karrasch, M., Parkkola, R. K., & Rinne, J. O. (2013) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-013-2562-0 · Cited by 38 · see citing works

Predicting AD Conversion: Comparison between Prodromal AD Guidelines and Computer Assisted PredictAD Tool

Liu, Y., Mattila, J., Muñoz‐Ruiz, M. Á., Paajanen, T. I., Koikkalainen, J. R., van Gils, M., Herukka, S., Waldemar, G., Lötjönen, J. M. P., Soininen, H. S., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0055246 · Cited by 34 · see citing works

Biological parametric mapping with robust and non-parametric statistics

Yang, X., Beason‐Held, L. L., Resnick, S. M., & Landman, B. A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.04.046 · Cited by 31 · see citing works

Cognitive and cortical thinning patterns of subjective cognitive decline in patients with and without Parkinson's disease

Hong, J. Y., Yun, H. J., Sunwoo, M. K., Ham, J. H., Lee, J., Sohn, Y. H., & Lee, P. H. (2014) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2014.06.011 · Cited by 28 · see citing works

EEG Abnormalities Are Associated with Different Cognitive Profiles in Alzheimer’s Disease

Smits, L. L., Liedorp, M., Koene, T., Roos‐Reuling, I., Lemstra, A. W., Scheltens, P., Stam, C. J., & van der Flier, W. M. (2010) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000322202 · Cited by 24 · see citing works

Multimodal tract-based analysis in ALS patients at 7T: A specific white matter profile?

Verstraete, E., Polders, D., Mandl, R. C. W., van den Heuvel, M. P., Veldink, J. H., Luijten, P. R., van den Berg, L. H., & Hoogduin, J. M. (2013) · Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration · doi:10.3109/21678421.2013.844168 · Cited by 22 · see citing works

Identification of Mild Alzheimer's Disease through automated classification of structural MRI features

Diciotti, S., Ginestroni, A., Bessi, V., Giannelli, M., Tessa, C., Bracco, L., Mascalchi, M., & Toschi, N. (2012) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2012.6345959 · Cited by 22 · see citing works

Subjective well-being in Swedish active seniors or seniors with cognitive complaints and its relation to commonly available biomarkers

Olsson, L. A., Hagnelius, N.-O., Olsson, H. M., & Nilsson, T. (2012) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2012.07.009 · Cited by 15 · see citing works

C145 as a Short-Latency Electrophysiological Index of Cognitive Compensation in Alzheimer's Disease

Chapman, R. M., Porsteinsson, A. P., Gardner, M. N., Mapstone, M. E., McCrary, J. W., Sandoval, T. C., Guillily, M. D., DeGrush, E., & Reilly, L. A. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-120646 · Cited by 14 · see citing works

Association Study of Gene Polymorphisms Involved in Vascular Alterations in Elderly Hypertensives with Subjective Memory Complaints

Watfa, G., Marteau, J. B., Rossignol, P., Kearney‐Schwartz, A., Fay, R., Bracard, S., Felblinger, J., Boivin, J., Lacolley, P. J., Visvikis‐Siest, S., et al. (2010) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000321120 · Cited by 12 · see citing works

Role of Amyloid β1–42 and Neuroimaging Biomarkers in Alzheimer‘s Disease

Lista, S., & Emanuele, E. (2011) · Biomarkers in Medicine · doi:10.2217/bmm.11.50 · Cited by 12 · see citing works

Subjective memory impairment and cholinergic transmission: a TMS study

Nardone, R., Höller, Y., Bathke, A. C., Höller, P., Lochner, P., Tezzon, F., Trinka, E., & Brigo, F. (2014) · Journal of Neural Transmission · doi:10.1007/s00702-014-1344-6 · Cited by 12 · see citing works

Blood-based biomarkers for Alzheimer disease: mapping the road to the clinic

Hampel, H., O’Bryant, S. E., Molinuevo, J. L., Zetterberg, H., Masters, C. L., Lista, S., Kiddle, S. J., Batrla, R., & Blennow, K. (2018) · Nature Reviews Neurology · doi:10.1038/s41582-018-0079-7 · Cited by 716 · see citing works

Diffusion Kurtosis Imaging: An Emerging Technique for Evaluating the Microstructural Environment of the Brain

Steven, A. J., Zhuo, J., & Melhem, E. R. (2013) · American Journal of Roentgenology · doi:10.2214/ajr.13.11365 · Cited by 404 · see citing works

Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease

Wang, X., Huang, W., Su, L., Xing, Y., Jessen, F., Sun, Y., Shu, N., & Han, Y. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00395-3 · Cited by 265 · see citing works

Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology

Hampel, H. J., (APMI), F. T. A. P. M. I., Toschi, N., Babiloni, C., Baldacci, F., Black, K. L., Bokde, A. L. W., Bun, R. S., Cacciola, F., Cavedo, E., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-179932 · Cited by 181 · see citing works

ApoE, ApoE Receptors, and the Synapse in Alzheimer's Disease

Lane-Donovan, C., & Herz, J. (2017) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2016.12.001 · Cited by 157 · see citing works

The Alzheimer Precision Medicine Initiative

Hampel, H. J., Initiative, A. P. M., Vergallo, A., Perry, G. L., & Lista, S. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-181121 · Cited by 108 · see citing works

Alpha band disruption in the AD-continuum starts in the Subjective Cognitive Decline stage: a MEG study

López‐Sanz, D., Bruña, R., Garcés, P., Cámara, C., Serrano, N., Rodríguez‐Rojo, I. C., Delgado‐Losada, M. L., Montenegro, M. V. R., López-Higes, R., Yus, M., et al. (2016) · Scientific Reports · doi:10.1038/srep37685 · Cited by 103 · see citing works

Serum Amino Acid Profiles in Normal Subjects and in Patients with or at Risk of Alzheimer Dementia

Corso, G., Cristofano, A., Sapere, N., la Marca, G., Angiolillo, A., Vitale, M., Fratangelo, R., Lombardi, T., Porcile, C., Intrieri, M., et al. (2017) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000466688 · Cited by 79 · see citing works

Objective features of subjective cognitive decline in a United States national database

Kielb, S., Rogalski, E. J., Weıntraub, S., & RADEMAKER, A. W. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.04.008 · Cited by 69 · see citing works

Subjective Cognitive Decline, Objective Cognition, and Depression in Older Hispanics Screened for Memory Impairment

Zlatar, Z. Z., Muniz, M. C., Espinoza, S. G., Gratianne, R., Gollan, T. H., Galasko, D., & Salmon, D. P. (2018) · Journal of Alzheimer's Disease · doi:10.3233/jad-170865 · Cited by 61 · see citing works

Qualitative and quantitative assessment of self‐reported cognitive difficulties in nondemented elders: Association with medical help seeking, cognitive deficits, and β‐amyloid imaging

Joie, R. L., Perrotin, A., Egret, S., Pasquier, F., Tomadesso, C., Mézenge, F., Desgranges, B., Sayette, V. D. L., & Chételat, G. (2016) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2016.12.005 · Cited by 59 · see citing works

Structural integrity in subjective cognitive decline, mild cognitive impairment and Alzheimer’s disease based on multicenter diffusion tensor imaging

The DELCODE Study Group, Brueggen, K., Dyrba, M., Cardenas-Blanco, A., Schneider, A., Fliessbach, K., Buerger, K., Janowitz, D., Peters, O., Menne, F., et al. (2019) · Journal of Neurology · doi:10.1007/s00415-019-09429-3 · Cited by 51 · see citing works

Subjective Memory Complaints in healthy older adults: Fewer complaints associated with depression and perceived health, more complaints also associated with lower memory performance

Carrasco, P. M., Montenegro-Peña, M., López-Higes, R., Estrada, E., Crespo, D. P., Rubio, C., & García‐Azorín, D. (2016) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2016.12.007 · Cited by 49 · see citing works

Longitudinal evaluation of criteria for subjective cognitive decline and preclinical Alzheimer's disease in a memory clinic sample

Eckerström, M., Göthlin, M., Rolstad, S., Hessen, E., Eckerström, C., Nordlund, A., Johansson, B. E. A., Svensson, J., Jonsson, M. A. G., Sacuiu, S. F., et al. (2017) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2017.04.006 · Cited by 46 · see citing works

Factors associated with subjective cognitive decline in dementia‐free older adults—A population‐based study

Zullo, L., Clark, C., Gholam‐Rezaee, M., Castelao, E., von Gunten, A., Preisig, M., & Popp, J. (2021) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.5509 · Cited by 43 · see citing works

Subjective Cognitive Decline and Alzheimer's Disease Spectrum Disorder

Hong, Y. J., & Lee, J. (2017) · Dementia and Neurocognitive Disorders · doi:10.12779/dnd.2017.16.2.40 · Cited by 41 · see citing works

Subjective Cognitive Decline Modifies the Relationship Between Cerebral Blood Flow and Memory Function in Cognitively Normal Older Adults

Hays, C. C., Zlatar, Z. Z., Campbell, L., Meloy, M. J., & Wierenga, C. E. (2018) · Journal of the International Neuropsychological Society · doi:10.1017/s135561771700087x · Cited by 34 · see citing works

Association between Cerebrospinal Fluid Biomarkers for Alzheimer’s Disease, APOE Genotypes and Auditory Verbal Learning Task in Subjective Cognitive Decline, Mild Cognitive Impairment, and Alzheimer’s Disease

Mandecka, M., Budziszewska, M., Barczak, A. K., Pepłońska, B., Chodakowska-Żebrowska, M., Filipek-Gliszczyńska, A., Nesteruk, M., Styczyńska, M., Barcikowska, M., & Gabryelewicz, T. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160176 · Cited by 26 · see citing works

Subjective Cognitive Decline

Tales, A., Jessen, F., Butler, C., Wilcock, G., Phillips, J., & Bayer, A. J. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150719 · Cited by 21 · see citing works

Fusion analysis of gray matter and white matter in subjective cognitive decline and mild cognitive impairment by multimodal CCA-joint ICA

Liang, L., Chen, Z., Wei, Y., Tang, F., Nong, X., Li, C., Yu, B., Duan, G., Su, J., Mai, W., et al. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102874 · Cited by 20 · see citing works

Linking self-perceived cognitive functioning questionnaires using item response theory: The subjective cognitive decline initiative.

Rabin, L. A., Initiative, T. A. D. N., Sikkes, S. A. M., Tommet, D., Jones, R. N., Crane, P. K., Elbulok-Charcape, M. M., Dubbelman, M. A., Koscik, R. L., Amariglio, R. E., et al. (2023) · Neuropsychology · doi:10.1037/neu0000888 · Cited by 19 · see citing works

Differential Abnormality in Functional Connectivity Density in Preclinical and Early-Stage Alzheimer's Disease

Song, Y., Wu, H., Chen, S., Ge, H., Yan, Z., Xue, C., Qi, W., Yuan, Q., Liang, X., Lin, X., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.879836 · Cited by 19 · see citing works

Inflammation-Related microRNAs-146a and -155 Are Upregulated in Mild Cognitive Impairment Subjects Among Older Age Population in Montenegro

Dragović, I. R., Popović, N., Ždralević, M., Radulović, L., Vuković, T., Marzano, F., Tullo, A., & Radunović, M. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220676 · Cited by 14 · see citing works

rTMS regulates homotopic functional connectivity in the SCD and MCI patients

Ge, H., Chen, S., Che, Z., Wu, H., Yang, X., Qiao, M., Chi, L., Fan, J., Zhong, Y., Zou, C., et al. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1301926 · Cited by 11 · see citing works

Biomedical informatics applications for precision management of neurodegenerative diseases

Miller, J. B., Shan, G., Lombardo, J. M., & Jimenez‐Maggiora, G. A. (2018) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1016/j.trci.2018.03.007 · Cited by 11 · see citing works

Assessment and management pathways of older adults with mild cognitive impairment: descriptive review and critical interpretive synthesis

Chambers, D., Cantrell, A. J., Sworn, K., & Booth, A. (2022) · Health and Social Care Delivery Research · doi:10.3310/xluj6074 · Cited by 11 · see citing works

Characteristics of Cognitively Normal Mexican-Americans with Cognitive Complaints

Hall, J. R., Wiechmann, A. R., Johnson, L. A., Edwards, M., & O’Bryant, S. E. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-170836 · Cited by 10 · see citing works

Joint ensemble learning-based risk prediction of Alzheimer's disease among mild cognitive impairment patients

Guan, T., Shang, L., Yang, P., Tan, Z., Liu, Y., Dong, C., Li, X., Hu, Z., Su, H., & Zhang, Y. (2025) · The Journal of Prevention of Alzheimer s Disease · doi:10.1016/j.tjpad.2025.100083 · Cited by 8 · see citing works

Brain atrophy and patch-based grading in individuals from the CIMA-Q study: a progressive continuum from subjective cognitive decline to AD

Marcotte, C., Potvin, O., Collins, D. L., Rheault, S., & Duchesne, S. (2019) · Scientific Reports · doi:10.1038/s41598-019-49914-3 · Cited by 8 · see citing works

Associations Between the Subjective Cognitive Decline-Questionnaire’s Scores, Gray Matter Volume, and Amyloid-β Levels

Valech, N., Sánchez‐Benavides, G., Tort‐Merino, A., Coll‐Padrós, N., Olives, J., León, M., Falcón, C., Molinuevo, J. L., & Rami, L. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190624 · Cited by 7 · see citing works

Latent profile analysis of data from the brief inventory of neurocognitive impairment (BINI) to develop neuro-cognitive profiles among opioid-dependent patients in drug treatment

Gunstad, J., Disabato, D. J., Shrestha, R., Sanborn, V. E., Mistler, C. B., & Copenhaver, M. M. (2022) · Journal of Addictive Diseases · doi:10.1080/10550887.2022.2080626 · Cited by 7 · see citing works

Reduced Gray Matter Volume in Subjective Cognitive Decline: A Voxel-Based Morphometric Study

Choi, Y., Yoon, B.-N., Choi, S. H., Lim, M. K., Kim, H.-J., & Yang, D. W. (2015) · Dementia and Neurocognitive Disorders · doi:10.12779/dnd.2015.14.4.143 · Cited by 7 · see citing works

Advances in the use of structural and diffusion magnetic resonance imaging for characterizing SCD and MCI due to Alzheimer’s disease

Yang, H. J., Dong, C., Cai, Y., Zhao, M., Liu, J., Bian, S., & Ding, X. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1596459 · Cited by 6 · see citing works

Research progress on brain network imaging biomarkers of subjective cognitive decline

Han, Y., Wang, C., Zhang, Y., Li, Y., Zhang, H., Ze, F., Li, W., Bingyuan, C., & Feng, W. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1503955 · Cited by 6 · see citing works

Alterations in structural rich-club connectivity of the precuneus are associated with depressive symptoms among individuals with subjective memory complaints

Kim, G. H., Kim, J., Kim, J. E., Ma, J., Kim, B. R., Im, J. J., Jeong, H. S., Namgung, E., Lee, S. L., Kang, I., et al. (2018) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-018-0645-x · Cited by 6 · see citing works

The Effects of Standardized Ginkgo Biloba Extracts (GBE) on Subjective Cognitive Decline (SCD) in Middle-Aged Adults: A Review

Gruenwald, J., Eckert, A., & Kressig, R. W. (2020) · Advances in Aging Research · doi:10.4236/aar.2020.93005 · Cited by 5 · see citing works

Surface-based but not voxel-based morphometry reveals structural abnormalities in individuals with subjective cognitive decline

Serra, L., Bonarota, S., Domenico, C. D., Caruso, G., Giulietti, G., Rodini, M., Laudadio, M., Lorenzo, F. D., Giove, F., Caltagirone, C., et al. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251400747 · Cited by 3 · see citing works

Diffusion imaging markers of accelerated aging of the lower cingulum in subjective cognitive decline

Flaherty, R., Sui, Y. V., Masurkar, A. V., Betensky, R. A., Rusinek, H., & Lazar, M. (2024) · Frontiers in Neurology · doi:10.3389/fneur.2024.1360273 · Cited by 3 · see citing works

Effects of Physical Exerciseon Cognition in Persons with Subjective Cognitive Decline or Mild Cognitive Impairment: A Review

(2017) · Journal of Parkinson’s Disease and Alzheimer’s Disease · doi:10.13188/2376-922x.1000023 · Cited by 3 · see citing works

Examination of Congruity between Subjective and Objective Working Memory in Veterans with Mild TBI and Relation to Psychiatric Symptoms and Childhood Trauma

Cruz, L. N., Walker, N. C., Rehman, S. S., McNerney, M. W., & Madore, M. R. (2024) · Behavioral Sciences · doi:10.3390/bs14100932 · Cited by 2 · see citing works

Genetic Risk for Alzheimer’s Disease Alters Perceived Executive Dysfunction in Cognitively Healthy Middle-Aged and Older Adults

Evans, S. A., Paitel, E. R., Bhasin, R., & Nielson, K. A. (2024) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-230166 · Cited by 2 · see citing works

Trajectories of amyloid beta accumulation – Unveiling the relationship with APOE genotype and cognitive decline

Wybitul, M., Buchmann, A., Langer, N., Höck, C., Treyer, V., & Gietl, A. F. (2024) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2024.03.007 · Cited by 2 · see citing works

Voxel-wise insights into early Alzheimer’s disease pathology progression: the association with APOE and memory decline

Wybitul, M., Langer, N., Höck, C., Gietl, A. F., Treyer, V., Initiative, A. D. N., Weiner, M. W., Aisen, P., Ronald-Petersen, Jack, C. R., et al. (2025) · GeroScience · doi:10.1007/s11357-025-01610-z · Cited by 1 · see citing works

Guideline for the cognitive assessment and follow‐up in the Guangdong‐Hong Kong‐Macao Greater Bay Area (2024 edition)

Peng, J., Mai, Y., & Liu, J. (2024) · Aging Medicine · doi:10.1002/agm2.12325 · Cited by 1 · see citing works

A nomogram for individualized prediction of mild cognitive impairment in patients with subjective cognitive decline during physical examinations: a cross-sectional study

Zhong, T., Dou, L., Liu, P., Huang, K., Wang, Y., & Chen, L. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1443309 · Cited by 1 · see citing works

Resting state electroencephalography contributes to the detection of disease progression and prediction of repetitive transcranial magnetic stimulation modulations in patients with subjective cognitive declinePreprint

Ren, H., Pei, Z., Zhang, X., Zhu, L., Lan, X., Li, B., Lei, Y., Lian, C., Huang, H., Xie, P., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-2188561/v1 · Cited by 1 · see citing works

Efek Sari Kukusan Kembang Kol ( Brassica oleracea var botrytis DC) Terhadap Berat dan Gambaran Histopatologi Limpa Pada Mencit Model Kolitis

Maria, A. S. (2010)

Bioinformatics in Precision Medicine and Healthcare

Nguyen, M.-A. T., Wu, C., & Chu, D. (2024) · Springer eBooks · doi:10.1007/978-981-99-8401-5_13

CLINICAL NEUROSCIENCE: LIMITATION OF INTELLIGENCE BY MALADAPTIVE MECHANISMS

(2025) · Journal of Bio Innovation · doi:10.46344/jbino.2025.v14i03(a).05

Anticipating the Future in an Uncertain Present: How Individuals Living With Medically Unexplained Cognitive Complaints Value Biomarker‐Based Prognostics

van der Meer, A., Knippenberg, M. L., Visser, D., & Boenink, M. (2025) · Health Expectations · doi:10.1111/hex.70284

Neuroimaging markers in clinical trials for pre-dementia stages of Alzheimer's disease

Cavedo, E. (2015) · theses.fr (ABES) · doi:10.70675/04f8d65dz4c15z4cebzbb7bz08189dec5d06

Stade prodromal de la maladie d'Alzheimer : nature des déficits mnésiques et liens avec les biomarqueurs d'imagerie.

Tomadesso, C. (2018) · theses.fr (ABES) · doi:10.70675/7fad6418zff81z49c7z984dz63aa2e44d7fc

Imaging Biomarkers of Cognitive Impairment in Sarcopenia: A Narrative Review

Lei, W.-X., Zhu, J., Jiang, Y.-T., Peng, X., Sun, H. Y., Tan, J., Zhou, X.-H., Huang, M., Lei, H., & Zhao, H. (2026) · International Journal of General Medicine · doi:10.2147/ijgm.s601894

Subjective cognitive decline: preclinical manifestation of Alzheimer’s disease

Lin, Y., Shan, P., Jiang, W., Sheng, C., & Ma, L. (2018) · Neurological Sciences · doi:10.1007/s10072-018-3620-y · Cited by 93 · see citing works

Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease

Wang, X., Huang, W., Su, L., Xing, Y., Jessen, F., Sun, Y., Shu, N., & Han, Y. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00395-3 · Cited by 265 · see citing works

Subjective Cognitive Decline and Biomarkers of Preclinical Alzheimer’s Disease

Shokouhi, S., & Albert, K. M. (2019) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-019-00191-4 · Cited by 4 · see citing works

Progress in blood biomarkers of subjective cognitive decline in preclinical Alzheimer's disease

Yu, X., Shao, K., Wan, K., Li, T., Li, Y., Zhu, X., & Han, Y. (2023) · Chinese Medical Journal · doi:10.1097/cm9.0000000000002566 · Cited by 23 · see citing works

Editorial: Exploring Reliable Markers and Prediction Indexes for the Progression From Subjective Cognitive Decline to Cognitive Impairment

Jiang, J., Han, Y., & Jessen, F. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.760920 · Cited by 1 · see citing works