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Mild cognitive impairment as a diagnostic entity
Open accessAbstract
The concept of cognitive impairment intervening between normal ageing and very early dementia has been in the literature for many years. Recently, the construct of mild cognitive impairment (MCI) has been proposed to designate an early, but abnormal, state of cognitive impairment. MCI has generated a great deal of research from both clinical and research perspectives. Numerous epidemiological studies have documented the accelerated rate of progression to dementia and Alzheimer's disease (AD) in MCI subjects and certain predictor variables appear valid. However, there has been controversy regarding the precise definition of the concept and its implementation in various clinical settings. Clinical subtypes of MCI have been proposed to broaden the concept and include prodromal forms of a variety of dementias. It is suggested that the diagnosis of MCI can be made in a fashion similar to the clinical diagnoses of dementia and AD. An algorithm is presented to assist the clinician in identifying subjects and subclassifying them into the various types of MCI. By refining the criteria for MCI, clinical trials can be designed with appropriate inclusion and exclusion restrictions to allow for the investigation of therapeutics tailored for specific targets and populations.
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“Individuals that live with some form of cognitive impairment can experience a range of symptomatic challenges associated with memory loss, deficiencies in verbal communication, functional impairment, as well as other varying deficits of attention, judgment, and insight [17,40,47].”
From Ambient Assisted Living Technologies for Aging Well: A Scoping Review (2016) · cites this paper as [47]
In the citing paper
“First, because standard MCI criteria do not define optimal tests to establish cognitive performance in subjects with MCI, 22 cognitive testing was performed using a battery of well-validated, standardized, and widely used neuropsychological tests exploring only some aspects of the complex cognitive dysfunction in subjects with MCI.1,2”
Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980
Self-citationPetersen, R. C., Stevens, J. C., Ganguli, M., Tangalos, E. G., Cummings, J. L., & DeKosky, S. T. (2001) · Neurology · doi:10.1212/wnl.56.9.1133 · Cited by 2,065
Self-citationKnopman, D. S., DeKosky, S. T., Cummings, J. L., Chui, H., Corey–Bloom, J., Relkin, N., Small, G. W., Miller, B., & Stevens, J. C. (2001) · Neurology · doi:10.1212/wnl.56.9.1143 · Cited by 1,410
Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment
Jack, C. R., Petersen, R. C., Xu, Y. C., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Boeve, B. F., Waring, S. C., Tangalos, E. G., & Kokmen, E. (1999) · Neurology · doi:10.1212/wnl.52.7.1397 · Cited by 1,404
Self-citationNatural history of mild cognitive impairment in older persons
Bennett, D. A., Wilson, R. S., Schneider, J. A., Evans, D. A., Beckett, L. A., Aggarwal, N. T., Barnes, L. L., Fox, J. H., & Bach, J. (2002) · Neurology · doi:10.1212/wnl.59.2.198 · Cited by 1,037
Grundman, M. (2004) · Archives of Neurology · doi:10.1001/archneur.61.1.59 · Cited by 972
Mild cognitive impairment in the elderly: Predictors of dementia
Flicker, C., Ferris, S. H., & Reisberg, B. (1991) · Neurology · doi:10.1212/wnl.41.7.1006 · Cited by 838
Lopez, O. L., Jagust, W. J., Dulberg, C., Becker, J. T., DeKosky, S. T., Fitzpatrick, A., Breitner, J., Lyketsos, C., Jones, B., Kawas, C., et al. (2003) · Archives of Neurology · doi:10.1001/archneur.60.10.1394 · Cited by 477
Research works printed but not linked: 39
- 10.1001/archneur.58.12.1985 · DOI · Paper page
- The National Institute on Aging and Reagan Institute Working Group on Diagnostic Criteria for the Neuropathological Assessment of Alzheimer's Disease, 1997, Consensus Recommendations for the Postmortem Diagnosis of Alzheimer's Disease: Neurobiol Aging, S1
- 10.1001/archneur.1994.00540210060013 · DOI
- Kral VA., 1962, Senescent forgetfulness: benign and malignant, Can Med Assoc J, 86, 257
- 10.1016/S0140-6736(99)06155-3 · DOI
- 10.1080/87565648609540348 · DOI
- Smith G, 1991, Age‐associated memory impairment diagnoses: problems of reliability and concerns for terminology, Psychol Aging, 6, 551, 10.1037/0882-7974.6.4.551 · DOI
- 10.1017/S1041610294001626 · DOI
- 10.1016/S0140-6736(97)01007-6 · DOI
- 10.1212/01.WNL.0000089238.07771.C7 · DOI
- Petersen RC, 2003, Mild Cognitive Impairment: Aging to Alzheimer's Disease, 15, 10.1093/oso/9780195123425.003.0002 · DOI
- 10.1001/jama.1995.03520400044042 · DOI
- Jack CR., 2003, Mild Cognitive Impairment: Aging to Alzheimer's Disease, 105, 10.1093/oso/9780195123425.003.0006 · DOI
- 10.1002/1531-8249(200004)47:4<430::AID-ANA5>3.0.CO;2-I · DOI
- 10.1212/WNL.46.1.149 · DOI
- 10.1016/S0140-6736(96)08256-6 · DOI
- 10.1001/archneur.57.5.675 · DOI
- 10.1212/WNL.56.1.37 · DOI
- 10.1212/01.WNL.0000034176.07159.F8 · DOI
- 10.1176/appi.ajp.159.3.436 · DOI
- 10.1002/gps.930070704 · DOI
- 10.1212/01.WNL.0000080366.90234.7F · DOI
- 10.1212/WNL.34.7.939 · DOI · Paper page
- Petersen RC., 2003, Mild Cognitive Impairment: Aging to Alzheimer's Disease, 1, 10.1093/oso/9780195123425.001.0001 · DOI
- Petersen RC, 2004, Outcome of clinical subtypes of mild cognitive impairment, Neurology (abstract), 62, A29S
- Boeve BF, 2004, Mild cognitive impairment preceding dementia with Lewy bodies, Neurology (abstract), 62, A86
- Petersen RC., 2004, Mild cognitive impairment, Continuum, 10, 9
- 10.1192/bjp.140.6.566 · DOI · Paper page
- 10.1038/nrd1155 · DOI
- 10.1176/ajp.139.9.1136 · DOI
- 10.1177/089198879300600205 · DOI
- 10.1001/archneur.1994.00540240049015 · DOI
- 10.1080/13854049208401877 · DOI
- Smith GE, 2003, Mild Cognitive Impairment: Aging to Alzheimer's Disease, 63, 10.1093/oso/9780195123425.003.0004 · DOI
- 10.1212/WNL.56.11.1533 · DOI
- 10.1037/0894-4105.13.1.121 · DOI
- Sliwinski M, 2003, Mild Cognitive Impairment: Aging to Alzheimer's Disease, 89, 10.1093/oso/9780195123425.003.0005 · DOI
- 10.1212/WNL.57.9.1655 · DOI · Paper page
- Petersen RC, 2003, Mild Cognitive Impairment: Aging to Alzheimer's Disease, 1, 10.1093/oso/9780195123425.001.0001 · DOI
Cited by
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Items 101–200 of 319
Jack, C. R., Wiste, H. J., Therneau, T. M., Weigand, S. D., Knopman, D. S., Mielke, M. M., Lowe, V. J., Vemuri, P., Machulda, M. M., Schwarz, C. G., et al. (2019) · JAMA · doi:10.1001/jama.2019.7437 · Cited by 324
Self-citationJack, C. R., Therneau, T. M., Weigand, S. D., Wiste, H. J., Knopman, D. S., Vemuri, P., Lowe, V. J., Mielke, M. M., Roberts, R. O., Machulda, M. M., et al. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2019.1971 · Cited by 300
Self-citationFibre-specific white matter reductions in Alzheimer’s disease and mild cognitive impairment
Mito, R., Raffelt, D., Dhollander, T., Vaughan, D. N., Tournier, J.-D., Salvado, O., Brodtmann, A., Rowe, C. C., Villemagne, V. L., & Connelly, A. (2018) · Brain · doi:10.1093/brain/awx355 · Cited by 309
Desideri, G., Kwik-Uribe, C., Grassi, D., Necozione, S., Ghiadoni, L., Mastroiacovo, D., Raffaele, A., Ferri, L., Bocale, R., Lechiara, M. C., et al. (2012) · Hypertension · doi:10.1161/hypertensionaha.112.193060 · Cited by 311
Prevalence Estimates of Amyloid Abnormality Across the Alzheimer Disease Clinical Spectrum
Jansen, W. J., Janssen, O., Tijms, B. M., Vos, S. J. B., Ossenkoppele, R., Visser, P. J., Amyloid Biomarker Study Group, Aarsland, D., Alcolea, D., Altomare, D., et al. (2022) · JAMA Neurology · doi:10.1001/jamaneurol.2021.5216 · Cited by 290
Intrathecal Chemokine Synthesis in Mild Cognitive Impairment and Alzheimer Disease
Galimberti, D., Schoonenboom, N., Scheltens, P., Fenoglio, C., Bouwman, F., Venturelli, E., Guidi, I., Blankenstein, M. A., Bresolin, N., & Scarpini, E. (2006) · Archives of Neurology · doi:10.1001/archneur.63.4.538 · Cited by 289
Locus coeruleus cellular and molecular pathology during the progression of Alzheimer’s disease
Kelly, S. C., He, B., Perez, S. E., Ginsberg, S. D., Mufson, E. J., & Counts, S. E. (2017) · Acta Neuropathologica Communications · doi:10.1186/s40478-017-0411-2 · Cited by 286
Measuring cognitive reserve based on the decomposition of episodic memory variance
Reed, B. R., Mungas, D., Farias, S. T., Harvey, D., Beckett, L., Widaman, K., Hinton, L., & DeCarli, C. (2010) · Brain · doi:10.1093/brain/awq154 · Cited by 271
Luchsinger, J. A., Perez, T., Chang, H., Mehta, P., Steffener, J., Pradabhan, G., Ichise, M., Manly, J., Devanand, D. P., & Bagiella, E. (2016) · Journal of Alzheimer's Disease · doi:10.3233/jad-150493 · Cited by 285
“Participants were 80 subjects aged 55 to 90 years with aMCI defined by the Petersen criteria [29], without treated diabetes, and with a BMI of 25 kg/m 2 or higher (overweight or obese by National Heart, Lung, and Blood Institute) criteria [30]).”
Shaw, L. M., Arias, J., Blennow, K., Galasko, D., Molinuevo, J. L., Salloway, S., Schindler, S., Carrillo, M. C., Hendrix, J. A., Ross, A., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.07.220 · Cited by 266
Westin, K., Buchhave, P., Nielsen, H., Minthon, L., Janciauskiene, S., & Hansson, O. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030525 · Cited by 277
Perspectives on Depression, Mild Cognitive Impairment, and Cognitive Decline
Steffens, D. C., Otey, E., Alexopoulos, G. S., Butters, M. A., Cuthbert, B., Ganguli, M., Geda, Y. E., Hendrie, H. C., Krishnan, R. R., Kumar, A., et al. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.2.130 · Cited by 274
Self-citationCoyle, H., Traynor, V., & Solowij, N. (2015) · The American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2014.04.009 · Cited by 274
Ambient Assisted Living Technologies for Aging Well: A Scoping Review
Blackman, S., Matlo, C., Bobrovitskiy, C., Waldoch, A., Fang, M. L., Jackson, P., Mihailidis, A., Nygård, L., Astell, A., & Sixsmith, A. (2016) · Journal of Intelligent Systems · doi:10.1515/jisys-2014-0136 · Cited by 269
Feinkohl, I., Aung, P. P., Keller, M., Robertson, C. M., Morling, J. R., McLachlan, S., Deary, I. J., Frier, B. M., Strachan, M. W. J., Price, J. F., et al. (2014) · Diabetes Care · doi:10.2337/dc13-1384 · Cited by 266
Croteau, E., Castellano, C. A., Fortier, M., Bocti, C., Fulop, T., Paquet, N., & Cunnane, S. C. (2018) · Experimental Gerontology · doi:10.1016/j.exger.2017.07.004 · Cited by 258
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
Self-citationHigh‐molecular‐weight β‐amyloid oligomers are elevated in cerebrospinal fluid of Alzheimer patients
Fukumoto, H., Tokuda, T., Kasai, T., Ishigami, N., Hidaka, H., Kondo, M., Allsop, D., & Nakagawa, M. (2010) · The FASEB Journal · doi:10.1096/fj.09-150359 · Cited by 264
Edmonds, E. C., Delano‐Wood, L., Clark, L. R., Jak, A. J., Nation, D. A., McDonald, C. R., Libon, D. J., Au, R., Galasko, D., Salmon, D. P., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.03.005 · Cited by 256
Loughrey, D. G., Lavecchia, S., Brennan, S., Lawlor, B. A., & Kelly, M. E. (2017) · Advances in Nutrition · doi:10.3945/an.117.015495 · Cited by 250
White matter hyperintensities: relationship to amyloid and tau burden
Graff-Radford, J., Arenaza-Urquijo, E. M., Knopman, D. S., Schwarz, C. G., Brown, R. D., Rabinstein, A. A., Gunter, J. L., Senjem, M. L., Przybelski, S. A., Lesnick, T., et al. (2019) · Brain · doi:10.1093/brain/awz162 · Cited by 253
Self-citationRabin, L. A., Paré, N., Saykin, A. J., Brown, M. J., Wishart, H. A., Flashman, L. A., & Santulli, R. B. (2009) · Aging, Neuropsychology, and Cognition · doi:10.1080/13825580902825220 · Cited by 256
Subjective Cognitive Complaints Contribute to Misdiagnosis of Mild Cognitive Impairment
Edmonds, E. C., Delano-Wood, L., Galasko, D. R., Salmon, D. P., & Bondi, M. W. (2014) · Journal of the International Neuropsychological Society · doi:10.1017/s135561771400068x · Cited by 249
Song, D., Yu, D. S. F., Li, P. W. C., & Lei, Y. (2018) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2018.01.002 · Cited by 244
Lam, L. C. W., Chau, R. C. M., Wong, B. M. L., Fung, A. W. T., Tam, C. W. C., Leung, G. T. Y., Kwok, T. C. Y., Leung, T. Y. S., Ng, S. P., & Chan, W. M. (2012) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2012.03.008 · Cited by 245
Targeting Prodromal Alzheimer Disease With Avagacestat: A Randomized Clinical Trial
Coric, V., Salloway, S., van Dyck, C. H., Dubois, B., Andreasen, N., Brody, M., Curtis, C., Soininen, H., Thein, S., Shiovitz, T., et al. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2015.0607 · Cited by 240
MicroRNA Profiling of CSF Reveals Potential Biomarkers to Detect Alzheimer`s Disease
Denk, J., Boelmans, K., Siegismund, C., Lassner, D., Arlt, S., & Jahn, H. (2015) · PLOS ONE · doi:10.1371/journal.pone.0126423 · Cited by 236
Roberts, R. O., Aakre, J. A., Kremers, W. K., Vassilaki, M., Knopman, D. S., Mielke, M. M., Alhurani, R., Geda, Y. E., Machulda, M. M., Coloma, P., et al. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2018.0629 · Cited by 223
Self-citationStructural MRI biomarkers for preclinical and mild Alzheimer's disease
Fennema‐Notestine, C., Hagler, D. J., McEvoy, L. K., Fleisher, A. S., Wu, E. H., Karow, D. S., & Dale, A. M. (2009) · Human Brain Mapping · doi:10.1002/hbm.20744 · Cited by 233
Wu, L., Han, Y., Zheng, Z., Peng, G., Liu, P., Yue, S., Zhu, S., Chen, J., Lv, H., Shao, L., et al. (2021) · Nutrients · doi:10.3390/nu13010228 · Cited by 227
Regionally-specific diffusion tensor imaging in mild cognitive impairment and Alzheimer’s disease.
Mielke, M. M., Kozauer, N. A., Chan, K. C. G., George, M., Toroney, J., Zerrate, M., Bandeen-Roche, K., Wang, M.-C., vanZijl, P., & Pekar, J. J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.054 · Cited by 225
Genetic Variation and Neuroimaging Measures in Alzheimer Disease
Biffi, A. (2010) · Archives of Neurology · doi:10.1001/archneurol.2010.108 · Cited by 222
Goetzl, E. J., Abner, E. L., Jicha, G. A., Kapogiannis, D., & Schwartz, J. B. (2018) · The FASEB Journal · doi:10.1096/fj.201700731r · Cited by 219
Lombardi, G., Crescioli, G., Cavedo, E., Lucenteforte, E., Casazza, G., Bellatorre, A.-G., Lista, C., Costantino, G., Frisoni, G., Virgili, G., et al. (2020) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd009628.pub2 · Cited by 214
Jack, C. R., Wiste, H. J., Botha, H., Weigand, S. D., Therneau, T. M., Knopman, D. S., Graff-Radford, J., Jones, D. T., Ferman, T. J., Boeve, B. F., et al. (2019) · Brain · doi:10.1093/brain/awz268 · Cited by 200
Self-citationRodakowski, J., Saghafi, E., Butters, M. A., & Skidmore, E. R. (2015) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2015.06.003 · Cited by 212
Serum MCP-1 levels are increased in mild cognitive impairment and mild Alzheimer’s disease
Galimberti, D., Fenoglio, C., Lovati, C., Venturelli, E., Guidi, I., Corrà, B., Scalabrini, D., Clerici, F., Mariani, C., Bresolin, N., et al. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.10.007 · Cited by 209
Does Alzheimer's disease begin in the brainstem?
Simic, G., Stanic, G., Mladinov, M., Jovanov‐Milosevic, N., Kostovic, I., & Hof, P. R. (2009) · Neuropathology and Applied Neurobiology · doi:10.1111/j.1365-2990.2009.01038.x · Cited by 204
Parbo, P., Ismail, R., Hansen, K. V., Amidi, A., Mårup, F. H., Gottrup, H., Brændgaard, H., Eriksson, B. O., Eskildsen, S. F., Lund, T. E., et al. (2017) · Brain · doi:10.1093/brain/awx120 · Cited by 199
Oxidative imbalance in patients with mild cognitive impairment and Alzheimer’s disease
GUIDI, I., GALIMBERTI, D., LONATI, S., NOVEMBRINO, C., BAMONTI, F., TIRITICCO, M., FENOGLIO, C., VENTURELLI, E., BARON, P., & BRESOLIN, N. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.01.001 · Cited by 203
Medication Adherence in Healthy Elders: Small Cognitive Changes Make a Big Difference
Hayes, T. L., Larimer, N., Adami, A., & Kaye, J. A. (2009) · Journal of Aging and Health · doi:10.1177/0898264309332836 · Cited by 192
Petersen, R. C., Wiste, H. J., Weigand, S. D., Rocca, W. A., Roberts, R. O., Mielke, M. M., Lowe, V. J., Knopman, D. S., Pankratz, V. S., Machulda, M. M., et al. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2015.3098 · Cited by 196
Self-citationAmyloid PET imaging in patients with mild cognitive impairment: A 2-year follow-up study
Koivunen, J., Scheinin, N., Virta, J. R., Aalto, S., Vahlberg, T., Någren, K., Helin, S., Parkkola, R., Viitanen, M., & Rinne, J. O. (2011) · Neurology · doi:10.1212/wnl.0b013e318212015e · Cited by 188
Neuronal Hypertrophy in Asymptomatic Alzheimer Disease
Iacono, D., O'Brien, R., Resnick, S. M., Zonderman, A. B., Pletnikova, O., Rudow, G., An, Y., West, M. J., Crain, B., & Troncoso, J. C. (2008) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e3181772794 · Cited by 188
Dysfunction of the blood–brain barrier in Alzheimer's disease: Evidence from human studies
Kurz, C., Walker, L., Rauchmann, B., & Perneczky, R. (2022) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12782 · Cited by 183
“80 Two studies did not find an association of Qalb with cognitive performance (Mini-Mental-State Examination, MMSE) in both AD and MCI patients, 78,79 but with markers of disease progression (annual change on the MMSE and the Clinical Dementia Rating Sum of Boxes [CDR-SOB]).”
BackgroundInfluentialCullen, N. C., Leuzy, A., Palmqvist, S., Janelidze, S., Stomrud, E., Pesini, P., Sarasa, L., Allué, J. A., Proctor, N. K., Zetterberg, H., et al. (2020) · Nature Aging · doi:10.1038/s43587-020-00003-5 · Cited by 187
Duara, R., & Barker, W. (2022) · Neurotherapeutics · doi:10.1007/s13311-022-01185-z · Cited by 187
A European multicentre PET study of fibrillar amyloid in Alzheimer’s disease
Nordberg, A., Carter, S. F., Rinne, J., Drzezga, A., Brooks, D. J., Vandenberghe, R., Perani, D., Forsberg, A., Långström, B., Scheinin, N., et al. (2013) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-012-2237-2 · Cited by 186
Cicognola, C., Brinkmalm, G., Wahlgren, J., Portelius, E., Gobom, J., Cullen, N. C., Hansson, O., Parnetti, L., Constantinescu, R., Wildsmith, K., et al. (2019) · Acta Neuropathologica · doi:10.1007/s00401-018-1948-2 · Cited by 168
Diffusion tensor imaging and cognitive function in older adults with no dementia
Kantarci, K., Senjem, M. L., Avula, R., Zhang, B., Samikoglu, A. R., Weigand, S. D., Przybelski, S. A., Edmonson, H. A., Vemuri, P., Knopman, D. S., et al. (2011) · Neurology · doi:10.1212/wnl.0b013e31822313dc · Cited by 182
Self-citationCR1 is associated with amyloid plaque burden and age‐related cognitive decline
Chibnik, L. B., Shulman, J. M., Leurgans, S. E., Schneider, J. A., Wilson, R. S., Tran, D., Aubin, C., Buchman, A. S., Heward, C. B., Myers, A. J., et al. (2011) · Annals of Neurology · doi:10.1002/ana.22277 · Cited by 174
Chandler, M. J., Parks, A. C., Marsiske, M., Rotblatt, L. J., & Smith, G. E. (2016) · Neuropsychology Review · doi:10.1007/s11065-016-9330-4 · Cited by 169
Cerebrospinal fluid neurogranin and YKL ‐40 as biomarkers of Alzheimer's disease
Janelidze, S., Hertze, J., Zetterberg, H., Landqvist Waldö, M., Santillo, A., Blennow, K., & Hansson, O. (2016) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.266 · Cited by 179
Beltrami, D., Gagliardi, G., Rossini Favretti, R., Ghidoni, E., Tamburini, F., & Calzà, L. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00369 · Cited by 175
Low PiB PET retention in presence of pathologic CSF biomarkers in Arctic APP mutation carriers
Schöll, M., Wall, A., Thordardottir, S., Ferreira, D., Bogdanovic, N., Långström, B., Almkvist, O., Graff, C., & Nordberg, A. (2012) · Neurology · doi:10.1212/wnl.0b013e31825fdf18 · Cited by 169
Mielke, M. M., Haughey, N. J., Bandaru, V. V. R., Schech, S., Carrick, R., Carlson, M. C., Mori, S., Miller, M. I., Ceritoglu, C., Brown, T., et al. (2010) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2010.03.014 · Cited by 170
Mild Cognitive Impairment: Epidemiology and Dementia Risk in an Elderly Italian Population
Ravaglia, G., Forti, P., Montesi, F., Lucicesare, A., Pisacane, N., Rietti, E., Dalmonte, E., Bianchin, M., & Mecocci, P. (2008) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2007.01503.x · Cited by 173
Buckley, R., Saling, M. M., Ames, D., Rowe, C. C., Lautenschlager, N. T., Macaulay, S. L., Martins, R. N., Masters, C. L., O'Meara, T., Savage, G., et al. (2013) · International Psychogeriatrics · doi:10.1017/s1041610213000665 · Cited by 173
NELSON, R., GUO, Z., HALAGAPPA, V, PEARSON, M., GRAY, A., MATSUOKA, Y., BROWN, M., MARTIN, B., IYUN, T., & MAUDSLEY, S. (2007) · Experimental Neurology · doi:10.1016/j.expneurol.2007.01.037 · Cited by 173
Vemuri, P., Whitwell, J. L., Kantarci, K., Josephs, K. A., Parisi, J. E., Shiung, M. S., Knopman, D. S., Boeve, B. F., Petersen, R. C., Dickson, D. W., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.05.012 · Cited by 172
Self-citationRABIN, L., ROTH, R., ISQUITH, P., WISHART, H., NUTTERUPHAM, K., PARE, N., FLASHMAN, L., & SAYKIN, A. (2006) · Archives of Clinical Neuropsychology · doi:10.1016/j.acn.2006.08.004 · Cited by 168
Are Empirically-Derived Subtypes of Mild Cognitive Impairment Consistent with Conventional Subtypes?
Clark, L. R., Delano-Wood, L., Libon, D. J., McDonald, C. R., Nation, D. A., Bangen, K. J., Jak, A. J., Au, R., Salmon, D. P., & Bondi, M. W. (2013) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617713000313 · Cited by 167
Effect of Intranasal Insulin on Cognitive Function: A Systematic Review
Shemesh, E., Rudich, A., Harman-Boehm, I., & Cukierman-Yaffe, T. (2012) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2011-1802 · Cited by 162
McCleery, J., Abraham, R. P., Denton, D. A., Rutjes, A. W., Chong, L.-Y., Al-Assaf, A. S., Griffith, D. J., Rafeeq, S., Yaman, H., Malik, M. A., et al. (2018) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd011905.pub2 · Cited by 162
Unobtrusive measurement of daily computer use to detect mild cognitive impairment
Kaye, J., Mattek, N., Dodge, H. H., Campbell, I., Hayes, T., Austin, D., Hatt, W., Wild, K., Jimison, H., & Pavel, M. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.01.011 · Cited by 145
Zygouris, S., Giakoumis, D., Votis, K., Doumpoulakis, S., Ntovas, K., Segkouli, S., Karagiannidis, C., Tzovaras, D., & Tsolaki, M. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-141260 · Cited by 158
Animal models of Alzheimer’s disease: Applications, evaluation, and perspectives
Chen, Z.-Y., 北京大学生命科学学院膜生物学国家重点实验室, 北. 1., State Key Laboratory of Membrane Biology, C. O. L. S., & Zhang, Y. (2022) · Zoological Research · doi:10.24272/j.issn.2095-8137.2022.289 · Cited by 155
Zhao, W., Wang, X., Yin, C., He, M., Li, S., & Han, Y. (2019) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2019.00013 · Cited by 145
DELANO-WOOD, L., BONDI, M. W., SACCO, J., ABELES, N., JAK, A. J., LIBON, D. J., & BOZOKI, A. (2009) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617709990257 · Cited by 155
Ueda, A., Shinkai, S., Shiroma, H., Taniguchi, Y., Tsuchida, S., Kariya, T., Kawahara, T., Kobayashi, Y., Kohda, N., Ushida, K., et al. (2021) · Cell Reports Medicine · doi:10.1016/j.xcrm.2021.100398 · Cited by 155
Cheng, Y.-W., Chen, T.-F., & Chiu, M.-J. (2017) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s123428 · Cited by 150
Eligibility for Anti-Amyloid Treatment in a Population-Based Study of Cognitive Aging
Pittock, R. R., Aakre, J. A., Castillo, A. M., Ramanan, V. K., Kremers, W. K., Jack, C. R., Vemuri, P., Lowe, V. J., Knopman, D. S., Petersen, R. C., et al. (2023) · Neurology · doi:10.1212/wnl.0000000000207770 · Cited by 151
Self-citationWalker, K. A., Chen, J., Shi, L., Yang, Y., Fornage, M., Zhou, L., Schlosser, P., Surapaneni, A., Grams, M. E., Duggan, M. R., et al. (2023) · Science Translational Medicine · doi:10.1126/scitranslmed.adf5681 · Cited by 148
Phillips, M., Childs, C., Calder, P., & Rogers, P. (2015) · International Journal of Molecular Sciences · doi:10.3390/ijms161024600 · Cited by 149
Yasuno, F., Kosaka, J., Ota, M., Higuchi, M., Ito, H., Fujimura, Y., Nozaki, S., Takahashi, S., Mizukami, K., Asada, T., et al. (2012) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2011.08.013 · Cited by 148
Mesenchymal Stromal Cell Therapies for Neurodegenerative Diseases
Staff, N. P., Jones, D. T., & Singer, W. (2019) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2019.01.001 · Cited by 150
Mediterranean diet, micronutrients and macronutrients, and MRI measures of cortical thickness
Staubo, S. C., Aakre, J. A., Vemuri, P., Syrjanen, J. A., Mielke, M. M., Geda, Y. E., Kremers, W. K., Machulda, M. M., Knopman, D. S., Petersen, R. C., et al. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.06.2359 · Cited by 147
Self-citationA randomized controlled trial of Kundalini yoga in mild cognitive impairment
Eyre, H. A., Siddarth, P., Acevedo, B., Van Dyk, K., Paholpak, P., Ercoli, L., St. Cyr, N., Yang, H., Khalsa, D. S., & Lavretsky, H. (2017) · International Psychogeriatrics · doi:10.1017/s1041610216002155 · Cited by 142
Diagnostic utility of hippocampal size and mean diffusivity in amnestic MCI.
Müller, M. J., Greverus, D., Weibrich, C., Dellani, P. R., Scheurich, A., Stoeter, P., & Fellgiebel, A. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.01.009 · Cited by 140
Boise, L., Wild, K., Mattek, N., Ruhl, M., Dodge, H. H., & Kaye, J. (2013) · Gerontechnology · doi:10.4017/gt.2013.11.3.001.00 · Cited by 139
Baker, L. D., Barsness, S. M., Borson, S., Merriam, G. R., Friedman, S. D., Craft, S., & Vitiello, M. V. (2012) · Archives of Neurology · doi:10.1001/archneurol.2012.1970 · Cited by 138
Galectin-3 promotes Aβ oligomerization and Aβ toxicity in a mouse model of Alzheimer’s disease
Tao, C.-C., Cheng, K.-M., Ma, Y.-L., Hsu, W.-L., Chen, Y.-C., Fuh, J.-L., Lee, W.-J., Chao, C.-C., & Lee, E. H. Y. (2020) · Cell Death & Differentiation · doi:10.1038/s41418-019-0348-z · Cited by 138
Duits, F. H., Brinkmalm, G., Teunissen, C. E., Brinkmalm, A., Scheltens, P., Van der Flier, W. M., Zetterberg, H., & Blennow, K. (2018) · Alzheimer's Research & Therapy · doi:10.1186/s13195-017-0335-x · Cited by 137
The Role of Neuroinflammation in Dementias
Pasqualetti, G., Brooks, D. J., & Edison, P. (2015) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-015-0531-7 · Cited by 133
Cornelis, E., Gorus, E., Beyer, I., Bautmans, I., & De Vriendt, P. (2017) · PLoS Medicine · doi:10.1371/journal.pmed.1002250 · Cited by 133
The heterogeneity of mild cognitive impairment: A neuropsychological analysis
LIBON, D. J., XIE, S. X., EPPIG, J., WICAS, G., LAMAR, M., LIPPA, C., BETTCHER, B. M., PRICE, C. C., GIOVANNETTI, T., SWENSON, R., et al. (2010) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617709990993 · Cited by 130
Smallwood, A., Oulhaj, A., Joachim, C., Christie, S., Sloan, C., Smith, A. D., & Esiri, M. (2012) · Neuropathology and Applied Neurobiology · doi:10.1111/j.1365-2990.2011.01221.x · Cited by 127
Salzman, T., Sarquis-Adamson, Y., Son, S., Montero-Odasso, M., & Fraser, S. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.6744 · Cited by 125
Predicting future rates of tau accumulation on PET
Jack, C. R., Wiste, H. J., Weigand, S. D., Therneau, T. M., Lowe, V. J., Knopman, D. S., Botha, H., Graff-Radford, J., Jones, D. T., Ferman, T. J., et al. (2020) · Brain · doi:10.1093/brain/awaa248 · Cited by 117
Self-citationFisher, G. G., Franks, M. M., Plassman, B. L., Brown, S. L., Potter, G. G., Llewellyn, D., Rogers, M. A. M., & Langa, K. M. (2011) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2010.03304.x · Cited by 123
Fabbri, E., An, Y., Zoli, M., Tanaka, T., Simonsick, E. M., Kitner‐Triolo, M. H., Studenski, S. A., Resnick, S. M., & Ferrucci, L. (2016) · Journal of the American Geriatrics Society · doi:10.1111/jgs.14092 · Cited by 123
Douet, V., & Chang, L. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00343 · Cited by 122
Nowrangi, M. A., Lyketsos, C. G., Leoutsakos, J. S., Oishi, K., Albert, M., Mori, S., & Mielke, M. M. (2013) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2012.05.2186 · Cited by 120
Okura, T., & Langa, K. M. (2011) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e318203f208 · Cited by 121
Richard, E., Andrieu, S., Solomon, A., Mangialasche, F., Ahtiluoto, S., van Charante, E. P. M., Coley, N., Fratiglioni, L., Neely, A. S., Vellas, B., et al. (2012) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2012.06.012 · Cited by 121
Non-coding variability at the APOE locus contributes to the Alzheimer’s risk
Zhou, X., Chen, Y., Mok, K. Y., Kwok, T. C. Y., Mok, V. C. T., Guo, Q., Ip, F. C., Chen, Y., Mullapudi, N., Initiative, A. D. N., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-10945-z · Cited by 120
Self-citationIs synaptic loss a unique hallmark of Alzheimer’s disease?
Scheff, S. W., Neltner, J. H., & Nelson, P. T. (2014) · Biochemical Pharmacology · doi:10.1016/j.bcp.2013.12.028 · Cited by 118
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
González‐Domínguez, R., García, A., García‐Barrera, T., Barbas, C., & Gómez‐Ariza, J. L. (2014) · ELECTROPHORESIS · doi:10.1002/elps.201400196 · Cited by 119
Diniz, B. S., Sibille, E., Ding, Y., Tseng, G., Aizenstein, H. J., Lotrich, F., Becker, J. T., Lopez, O. L., Lotze, M. T., Klunk, W. E., et al. (2015) · Molecular Psychiatry · doi:10.1038/mp.2014.76 · Cited by 116
Metadata
- Authors
- Petersen, R. C.
- Affiliations
- Mayo Clinic (US)
- Corresponding author
- Petersen, R. C.
- ORCID
- Petersen, R. C.
- Venue
- Journal of Internal Medicine
- Publisher
- Wiley
- Published
- 2004-08-20
- Volume
- 256
- Issue
- 3
- Pages
- 183-194
- ISSN
- 0954-6820 (ISSN-L)
- 1365-2796
- OpenAlex
- W2028436804
- Cited by
- 7,864
- References
- 12
- Citations by year
- 2026: 344 · 2025: 493 · 2024: 478 · 2023: 440 · 2022: 475 · 2021: 535 · 2020: 499 · 2019: 479 · 2018: 433 · 2017: 428 · 2016: 385 · 2015: 402 · 2014: 395 · 2013: 391 · 2012: 367
- FWCI
- 13.63
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Internal Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Aging (AG 10483, AG-06786, AG 16574, U01AG006786, P50AG016574)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Oncology › Cancer-related cognitive impairment studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Keywords
- mild cognitive impairment, dementia, Alzheimer's disease, prodromal dementia, MCI classification, diagnostic criteria, conversion to dementia, cognitive aging
- MeSH terms
- Aged, Alzheimer Disease, Cognition Disorders, Humans, Neuropsychological Tests, Terminology as Topic, Psychiatric Status Rating Scales
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