Brain Imaging in Alzheimer Disease

Johnson, K. A.; Fox, N. C.; Sperling, R. A.; Klunk, W. E.

doi:10.1101/cshperspect.a006213

Cited by 875Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsMedical Imaging Techniques and Applications

Brain Imaging in Alzheimer Disease

Open access

Johnson, K. A., Fox, N. C., Sperling, R. A., Klunk, W. E.·2012·Cold Spring Harbor Perspectives in Medicine

DOI 10.1101/cshperspect.a006213PMC PMC3312396

Open this paper in CoChat — free account Open PDF

Abstract

Imaging has played a variety of roles in the study of Alzheimer disease (AD) over the past four decades. Initially, computed tomography (CT) and then magnetic resonance imaging (MRI) were used diagnostically to rule out other causes of dementia. More recently, a variety of imaging modalities including structural and functional MRI and positron emission tomography (PET) studies of cerebral metabolism with fluoro-deoxy-d-glucose (FDG) and amyloid tracers such as Pittsburgh Compound-B (PiB) have shown characteristic changes in the brains of patients with AD, and in prodromal and even presymptomatic states that can help rule-in the AD pathophysiological process. No one imaging modality can serve all purposes as each have unique strengths and weaknesses. These modalities and their particular utilities are discussed in this article. The challenge for the future will be to combine imaging biomarkers to most efficiently facilitate diagnosis, disease staging, and, most importantly, development of effective disease-modifying therapies.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1101/cshperspect.a006213

Cites

238 of 238 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Other MRI techniques in development include diffusion tensor imaging, tractography, arterial spin labeling measures of cerebral blood flow, and PET tracers targeted at the cholinergic system, microglial activation and other tracers.
“Other MRI techniques in development that are also adding to the knowledge of AD are diffusion tensor imaging (DTI) and associated tractography technologies, arterial spin labeling measures of cerebral blood flow and PET tracers targeted at the cholinergic system, microglial activation and other tracers [78].”
From Recent Advancements in Pathogenesis, Diagnostics and Treatment of Alzheimer’s Disease (2020) · cites this paper as [78]
In Alzheimer disease, measurements of Aβ and tau are used as measures of therapeutic efficacy.
“In AD, measurements of Aβ and tau are used as measures of therapeutic efficacy204.”
From Microglial signatures and their role in health and disease (2018) · cites this paper as [204]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · cited 2× · see citing works
“This sequence of progression of atrophy on MRI most closely fits histopathological studies that have derived stages for the spread of neurofibrillary tangles (Braak and Braak 1991).”
Background
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190 · see citing works
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761 · see citing works
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 · see citing works
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553 · see citing works
Mild cognitive impairment as a diagnostic entity
Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864 · see citing works
Neurophysiological investigation of the basis of the fMRI signal
Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001) · Nature · doi:10.1038/35084005 · Cited by 6,542 · see citing works
Diagnosis and management of dementia with Lewy bodies: Third report of the DLB consortium
McKeith, I. G., Dickson, D. W., Lowe, J., Emre, M., O'Brien, J. T., Feldman, H., Cummings, J., Duda, J. E., Lippa, C., Perry, E. K., et al. (2005) · Neurology · doi:10.1212/01.wnl.0000187889.17253.b1 · Cited by 5,069 · see citing works
Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806 · see citing works
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
Self-citation
Diagnosis and management of dementia with Lewy bodies: Fourth consensus report of the DLB Consortium
McKeith, I. G., Boeve, B. F., Dickson, D. W., Halliday, G., Taylor, J.-P., Weintraub, D., Aarsland, D., Galvin, J., Attems, J., Ballard, C. G., et al. (2017) · Neurology · doi:10.1212/wnl.0000000000004058 · Cited by 4,476 · see citing works
Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS–ADRDA criteria
Dubois, B., Feldman, H. H., Jacova, C., DeKosky, S. T., Barberger-Gateau, P., Cummings, J., Delacourte, A., Galasko, D., Gauthier, S., Jicha, G., et al. (2007) · The Lancet Neurology · doi:10.1016/s1474-4422(07)70178-3 · Cited by 4,411 · see citing works
Consistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326 · see citing works
Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation.
Kwong, K. K., Belliveau, J. W., Chesler, D. A., Goldberg, I. E., Weisskoff, R. M., Poncelet, B. P., Kennedy, D. N., Hoppel, B. E., Cohen, M. S., & Turner, R. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.12.5675 · Cited by 4,212 · see citing works
Default-mode network activity distinguishes Alzheimer’s disease from healthy aging: evidence from functional MRI
Greicius, M. D., Srivastava, G., Reiss, A. L., & Menon, V. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308627101 · Cited by 3,684 · see citing works
Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease
Buckner, R. L., Sepulcre, J., Talukdar, T., Krienen, F. M., Liu, H., Hedden, T., Andrews-Hanna, J. R., Sperling, R. A., & Johnson, K. A. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.5062-08.2009 · Cited by 2,862 · see citing works
Self-citation
Oxygenation‐sensitive contrast in magnetic resonance image of rodent brain at high magnetic fields
Ogawa, S., Lee, T., Nayak, A. S., & Glynn, P. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910140108 · Cited by 2,269 · see citing works
Molecular, structural, and functional characterization of Alzheimer's disease: evidence for a relationship between default activity, amyloid, and memory
Buckner, R. L., Snyder, A. Z., Shannon, B. J., LaRossa, G., Sachs, R., Fotenos, A. F., Sheline, Y. I., Klunk, W. E., Mathis, C. A., Morris, J. C., et al. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2177-05.2005 · Cited by 2,140 · see citing works
Self-citation
The clinical use of structural MRI in Alzheimer disease
Frisoni, G. B., Fox, N. C., Jack, C. R., Scheltens, P., & Thompson, P. M. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2009.215 · Cited by 2,113 · see citing works
Self-citation
Metabolic reduction in the posterior cingulate cortex in very early Alzheimer's disease
Minoshima, S., Giordani, B., Berent, S., Frey, K. A., Foster, N. L., & Kuhl, D. E. (1997) · Annals of Neurology · doi:10.1002/ana.410420114 · Cited by 1,802 · see citing works
Intrinsic functional architecture in the anaesthetized monkey brain
Vincent, J. L., Patel, G. H., Fox, M. D., Snyder, A. Z., Baker, J. T., Van Essen, D. C., Zempel, J. M., Snyder, L. H., Corbetta, M., & Raichle, M. E. (2007) · Nature · doi:10.1038/nature05758 · Cited by 1,786 · see citing works
Atrophy of medial temporal lobes on MRI in "probable" Alzheimer's disease and normal ageing: diagnostic value and neuropsychological correlates.
Scheltens, P., Leys, D., Barkhof, F., Huglo, D. G., Weinstein, H. C., Vermersch, P., Kuiper, M. A., Steinling, M., Wolters, E. C., & Valk, J. (1992) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.55.10.967 · Cited by 1,781 · see citing works
Practice parameter: Management of dementia (an evidence-based review) [RETIRED]
Doody, R. S., Stevens, J. E., Beck, C., Dubinsky, R., Kaye, J. A., Gwyther, L. P., Mohs, R. C., Thal, L. J., Whitehouse, P. J., DeKosky, S. T., et al. (2001) · Neurology · doi:10.1212/wnl.56.9.1154 · Cited by 1,703 · see citing works
Association between CSF biomarkers and incipient Alzheimer's disease in patients with mild cognitive impairment: a follow-up study
Hansson, O., Zetterberg, H., Buchhave, P., Londos, E., Blennow, K., & Minthon, L. (2006) · The Lancet Neurology · doi:10.1016/s1474-4422(06)70355-6 · Cited by 1,700 · see citing works
Rate of progression of mild cognitive impairment to dementia – meta‐analysis of 41 robust inception cohort studies
Mitchell, A. J., & Shiri‐Feshki, M. (2009) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2008.01326.x · Cited by 1,659 · cited 1× · see citing works
“2006) and a recent meta-analysis concluded that most people with MCI will not progress to dementia even after 10 years of follow-up (Mitchell and Shiri-Feshki 2009).”
Method
Aberrant excitatory neuronal activity and compensatory remodeling of inhibitory hippocampal circuits in mouse models of alzheimer’s disease.
Palop, J. J., Chin, J., Roberson, E. D., Wang, J., Thwin, M. T., Bien-Ly, N., Yoo, J., Ho, K. O., Yu, G.-Q., Kreitzer, A., et al. (2007) · Neuron · doi:10.1016/j.neuron.2007.07.025 · Cited by 1,653 · see citing works
Distinct patterns of brain activity in young carriers of the APOE -ε4 allele
Filippini, N., MacIntosh, B. J., Hough, M. G., Goodwin, G. M., Frisoni, G. B., Smith, S. M., Matthews, P. M., Beckmann, C. F., & Mackay, C. E. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811879106 · Cited by 1,613 · see citing works
Disruption of Large-Scale Brain Systems in Advanced Aging
Andrews-Hanna, J. R., Snyder, A. Z., Vincent, J. L., Lustig, C., Head, D., Raichle, M. E., & Buckner, R. L. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.038 · Cited by 1,592 · see citing works
Practice parameter: Diagnosis of dementia (an evidence-based review): Report of the Quality Standards Subcommittee of the American Academy of Neurology
Knopman, 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 · see citing works
Preclinical Evidence of Alzheimer's Disease in Persons Homozygous for the ε4 Allele for Apolipoprotein E
Reiman, E. M., Caselli, R. J., Yun, L. S., Chen, K., Bandy, D., Minoshima, S., Thibodeau, S. N., & Osborne, D. (1996) · New England Journal of Medicine · doi:10.1056/nejm199603213341202 · Cited by 1,366 · see citing works
Patterns of Brain Activation in People at Risk for Alzheimer's Disease
Bookheimer, S. Y., Strojwas, M. H., Cohen, M. S., Saunders, A. M., Pericak-Vance, M. A., Mazziotta, J. C., & Small, G. W. (2000) · New England Journal of Medicine · doi:10.1056/nejm200008173430701 · Cited by 1,328 · see citing works
CSF markers for incipient Alzheimer's disease
Blennow, K., & Hampel, H. (2003) · The Lancet Neurology · doi:10.1016/s1474-4422(03)00530-1 · Cited by 1,291 · see citing works
Reduced resting-state brain activity in the “default network” in normal aging
Damoiseaux, J. S., Beckmann, C. F., Arigita, E. J. S., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Rombouts, S. A. R. B. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm207 · Cited by 1,187 · 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
Self-citation
Clusters of Hyperactive Neurons Near Amyloid Plaques in a Mouse Model of Alzheimer’s Disease
Busche, M. A., Eichhoff, G., Adelsberger, H., Abramowski, D., Wiederhold, K.-H., Haass, C., Staufenbiel, M., Konnerth, A., & Garaschuk, O. (2008) · Science · doi:10.1126/science.1162844 · Cited by 1,125 · see citing works
Use of Florbetapir-PET for Imaging β-Amyloid Pathology
Clark, C. M. (2011) · JAMA · doi:10.1001/jama.2010.2008 · Cited by 1,117 · see citing works
Serial PIB and MRI in normal, mild cognitive impairment and Alzheimer's disease: implications for sequence of pathological events in Alzheimer's disease
Jack, C. R., Lowe, V. J., Weigand, S. D., Wiste, H. J., Senjem, M. L., Knopman, D. S., Shiung, M. M., Gunter, J. L., Boeve, B. F., Kemp, B. J., et al. (2009) · Brain · doi:10.1093/brain/awp062 · Cited by 1,099 · 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
Self-citation
[ 11 C]PIB in a nondemented population: Potential antecedent marker of Alzheimer disease
Mintun, M. A., LaRossa, G. N., Sheline, Y. I., Dence, C. S., Lee, S. Y., Mach, R. H., Klunk, W. E., Mathis, C. A., DeKosky, S. T., & Morris, J. C. (2006) · Neurology · doi:10.1212/01.wnl.0000228230.26044.a4 · Cited by 1,036 · see citing works
Self-citation
Selective changes of resting-state networks in individuals at risk for Alzheimer’s disease
Sorg, C., Riedl, V., Mühlau, M., Calhoun, V. D., Eichele, T., Läer, L., Drzezga, A., Förstl, H., Kurz, A., Zimmer, C., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0708803104 · Cited by 1,036 · see citing works
Amyloid Deposition Is Associated with Impaired Default Network Function in Older Persons without Dementia
Sperling, R. A., LaViolette, P. S., O'Keefe, K., O'Brien, J., Rentz, D. M., Pihlajamaki, M., Marshall, G., Hyman, B. T., Selkoe, D. J., Hedden, T., et al. (2009) · Neuron · doi:10.1016/j.neuron.2009.07.003 · Cited by 1,027 · see citing works
Self-citation
Neurotoxicity of Amyloid -Protein: Synaptic and Network Dysfunction
Mucke, L., & Selkoe, D. J. (2012) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a006338 · Cited by 1,000 · 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
Coherent spontaneous activity identifies a hippocampal-parietal memory network
Vincent, J. L., Snyder, A. Z., Fox, M. D., Shannon, B. J., Andrews, J. R., Raichle, M. E., & Buckner, R. L. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00048.2006 · Cited by 959 · cited 2× · see citing works
“2005b), and have clearly documented the organization of the brain into multiple largescale brain networks (Damoiseaux et al. 2006; Vincent et al. 2006).”
Background
Post-mortem correlates of in vivo PiB-PET amyloid imaging in a typical case of Alzheimer's disease
Ikonomovic, M. D., Klunk, W. E., Abrahamson, E. E., Mathis, C. A., Price, J. C., Tsopelas, N. D., Lopresti, B. J., Ziolko, S., Bi, W., Paljug, W. R., et al. (2008) · Brain · doi:10.1093/brain/awn016 · Cited by 933 · see citing works
Self-citation
Increased hippocampal activation in mild cognitive impairment compared to normal aging and AD
Dickerson, B. C., Salat, D. H., Greve, D. N., Chua, E. F., Rand-Giovannetti, E., Rentz, D. M., Bertram, L., Mullin, K., Tanzi, R. E., Blacker, D., et al. (2005) · Neurology · doi:10.1212/01.wnl.0000171450.97464.49 · Cited by 910 · see citing works
Self-citation
Age, Neuropathology, and Dementia
Savva, G. M., Wharton, S. B., Ince, P. G., Forster, G., Matthews, F. E., & Brayne, C. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0806142 · Cited by 900 · 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
Classification criteria for mild cognitive impairment
Ritchie, K. A., Artéro, S., & Touchon, J. (2001) · Neurology · doi:10.1212/wnl.56.1.37 · Cited by 831 · see citing works
APOE predicts amyloid‐beta but not tau Alzheimer pathology in cognitively normal aging
Morris, J. C., Roe, C. M., Xiong, C., Fagan, A. M., Goate, A. M., Holtzman, D. M., & Mintun, M. A. (2010) · Annals of Neurology · doi:10.1002/ana.21843 · Cited by 830 · see citing works
Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD
Jack, C. R., Shiung, M. M., Gunter, J. L., O’Brien, P. C., Weigand, S. D., Knopman, D. S., Boeve, B. F., Ivnik, R. J., Smith, G. E., Cha, R. H., et al. (2004) · Neurology · doi:10.1212/01.wnl.0000110315.26026.ef · Cited by 827 · see citing works
Cerebral metabolic and cognitive decline in persons at genetic risk for Alzheimer’s disease
Small, G. W., Ercoli, L. M., Silverman, D. H. S., Huang, S.-C., Komo, S., Bookheimer, S. Y., Lavretsky, H., Miller, K., Siddarth, P., Rasgon, N. L., et al. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.090106797 · Cited by 790 · see citing works
A phase 2 multiple ascending dose trial of bapineuzumab in mild to moderate Alzheimer disease
Salloway, S., Sperling, R., Gilman, S., Fox, N. C., Blennow, K., Raskind, M., Sabbagh, M., Honig, L. S., Doody, R., van Dyck, C. H., et al. (2009) · Neurology · doi:10.1212/wnl.0b013e3181c67808 · Cited by 753 · see citing works
Self-citation
Patterns of temporal lobe atrophy in semantic dementia and Alzheimer's disease
Chan, D., Fox, N. C., Scahill, R. I., Crum, W. R., Whitwell, J. L., Leschziner, G., Rossor, A. M., Stevens, J. M., Cipolotti, L., & Rossor, M. N. (2001) · Annals of Neurology · doi:10.1002/ana.92 · Cited by 749 · see citing works
Self-citation
Mapping the evolution of regional atrophy in Alzheimer's disease: Unbiased analysis of fluid-registered serial MRI
Scahill, R. I., Schott, J. M., Stevens, J., Rossor, M. N., & Fox, N. C. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.052587399 · Cited by 748 · see citing works
Self-citation
Neuron-glia metabolic coupling and plasticity
Magistretti, P. J. (2006) · Experimental Physiology · doi:10.1113/expphysiol.2010.053157 · Cited by 739 · see citing works
Altered resting state networks in mild cognitive impairment and mild Alzheimer's disease: An fMRI study
Rombouts, S. A. R. B., Barkhof, F., Goekoop, R., Stam, C. J., & Scheltens, P. (2005) · Human Brain Mapping · doi:10.1002/hbm.20160 · Cited by 734 · see citing works
Alterations in Memory Networks in Mild Cognitive Impairment and Alzheimer's Disease: An Independent Component Analysis
Celone, K., Calhoun, V. D., Dickerson, B. C., Atri, A., Chua, E. F., Miller, S. L., DePeau, K. M., Rentz, D., Selkoe, D. J., Blacker, D., et al. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.2250-06.2006 · Cited by 733 · see citing works
Self-citation
Multicenter Standardized 18F-FDG PET Diagnosis of Mild Cognitive Impairment, Alzheimer's Disease, and Other Dementias
Mosconi, L., Tsui, W. H., Herholz, K., Pupi, A., Drzezga, A., Lucignani, G., Reiman, E. M., Holthoff, V., Kalbe, E., Sorbi, S., et al. (2008) · Journal of Nuclear Medicine · doi:10.2967/jnumed.107.045385 · Cited by 726 · see citing works
PET imaging of amyloid deposition in patients with mild cognitive impairment
Forsberg, A., Engler, H., Almkvist, O., Blomquist, G., Hagman, G., Wall, A. E., Ringheim, A., Långström, B., & Nordberg, A. K. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.03.029 · Cited by 725 · see citing works
11C-PiB PET assessment of change in fibrillar amyloid-β load in patients with Alzheimer's disease treated with bapineuzumab: a phase 2, double-blind, placebo-controlled, ascending-dose study
Rinne, J. O., Brooks, D. J., Rossor, M. N., Fox, N. C., Bullock, R., Klunk, W. E., Mathis, C. A., Blennow, K., Barakos, J., Okello, A. A., et al. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(10)70043-0 · Cited by 701 · see citing works
Self-citation
Upregulation of choline acetyltransferase activity in hippocampus and frontal cortex of elderly subjects with mild cognitive impairment
DeKosky, S. T., Ikonomovic, M. D., Styren, S. D., Beckett, L., Wisniewski, S., Bennett, D. A., Cochran, E. J., Kordower, J. H., & Mufson, E. J. (2002) · Annals of Neurology · doi:10.1002/ana.10069 · Cited by 686 · see citing works
In Vivo Imaging of Amyloid Deposition in Alzheimer Disease Using the Radioligand 18 F-AV-45 (Flobetapir F 18)
Wong, D. F., Rosenberg, P. B., Zhou, Y., Kumar, A., Raymont, V., Ravert, H. T., Dannals, R. F., Nandi, A., Brašić, J. R., Ye, W., et al. (2010) · Journal of Nuclear Medicine · doi:10.2967/jnumed.109.069088 · Cited by 684 · cited 2× · see citing works
“…studies using each of the fluorine-18-labelled tracers, [F-18]florbetaben (18F-BAY94-9172 or AV-1; Rowe et al. 2008), [F-18]florbetapir (AV-45; Wong et al. 2010; Clark et al. 2011) and [F-18]flu- temetamol (3 0 F-PiB or GE-067; Nelissen et al. 2009; Vandenberghe et al. 2010) in AD patients.”
Method
MRI of hippocampal volume loss in early Alzheimer's disease in relation to ApoE genotype and biomarkers
Schuff, N., Woerner, N., Boreta, L., Kornfield, T., Shaw, L. M., Trojanowski, J. Q., Thompson, P. M., Jack, C. R., Weiner, M. W., & Initiative, T. A. D. N. (2008) · Brain · doi:10.1093/brain/awp007 · Cited by 679 · see citing works
Imaging of amyloid β in Alzheimer's disease with 18F-BAY94-9172, a novel PET tracer: proof of mechanism
Rowe, C. C., Ackerman, U., Browne, W. F., Mulligan, R. S., Pike, K. E., O'Keefe, G. J., Tochon‐Danguy, H., Chan, G., Berlangieri, S. U., Jones, G. R., et al. (2008) · The Lancet Neurology · doi:10.1016/s1474-4422(08)70001-2 · Cited by 671 · see citing works
Mild cognitive impairment, amnestic type
Ganguli, M., Dodge, H. H., Shen, C., & DeKosky, S. T. (2004) · Neurology · doi:10.1212/01.wnl.0000132523.27540.81 · Cited by 666 · see citing works
Incidence and outcome of mild cognitive impairment in a population-based prospective cohort
Larrieu, S., Letenneur, L., Orgogozo, J., Fabrigoule, C., Amieva, H., Carret, N. L., Barberger‐Gateau, P., & Dartigues, J. (2002) · Neurology · doi:10.1212/01.wnl.0000034176.07159.f8 · Cited by 663 · see citing works
18 F‐flutemetamol amyloid imaging in Alzheimer disease and mild cognitive impairment: A phase 2 trial
Vandenberghe, R. R., Laere, K. V., Ivanoiu, A., Salmon, É., Bastin, C., Triau, E., Hasselbalch, S. G., Law, I. G., Andersen, A., Kørner, A., et al. (2010) · Annals of Neurology · doi:10.1002/ana.22068 · Cited by 649 · see citing works
Prediction of cognitive decline in normal elderly subjects with 2-[ 18 F]fluoro-2-deoxy- <scp>d</scp> -glucose/positron-emission tomography (FDG/PET)
de Leon, M. J., Convit, A., Wolf, O. T., Tarshish, C. Y., DeSanti, S., Rusinek, H., Tsui, W., Kandil, E., Scherer, A. J., Roche, A., et al. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.191044198 · Cited by 629 · see citing works
Comparing predictors of conversion and decline in mild cognitive impairment
Landau, S. M., Harvey, D., Madison, C. M., Reiman, E. M., Foster, N. L., Aisen, P. S., Petersen, R. C., Shaw, L. M., Trojanowski, J. Q., Jack, C. R., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181e8e8b8 · Cited by 616 · see citing works
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
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
FDG-PET improves accuracy in distinguishing frontotemporal dementia and Alzheimer's disease
Foster, N. L., Heidebrink, J. L., Clark, C. M., Jagust, W. J., Arnold, S. E., Barbas, N. R., DeCarli, C. S., Scott Turner, R., Koeppe, R. A., Higdon, R., et al. (2007) · Brain · doi:10.1093/brain/awm177 · Cited by 608 · see citing works
Mild cognitive impairment
Chételat, G., Desgranges, B., Sayette, V. D. L., Viader, F., Eustache, F., & Baron, J. (2003) · Neurology · doi:10.1212/01.wnl.0000055847.17752.e6 · Cited by 604 · see citing works
Disruption of Functional Connectivity in Clinically Normal Older Adults Harboring Amyloid Burden
Hedden, T., Van Dijk, K. R. A., Becker, J. A., Mehta, A., Sperling, R. A., Johnson, K. A., & Buckner, R. L. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3189-09.2009 · Cited by 598 · see citing works
Self-citation
Amyloid plaques disrupt resting state default mode network connectivity in cognitively normal elderly
Sheline, Y. I., Raichle, M. E., Snyder, A. Z., Morris, J. C., Head, D., Wang, S., & Mintun, M. A. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.08.024 · Cited by 597 · see citing works
Functional Alterations in Memory Networks in Early Alzheimer’s Disease
Sperling, R. A., Dickerson, B. C., Pihlajamaki, M. M., Vannini, P., LaViolette, P. S., Vitolo, O. V., Hedden, T., Becker, J. A., Rentz, D. M., Selkoe, D. J., et al. (2010) · NeuroMolecular Medicine · doi:10.1007/s12017-009-8109-7 · Cited by 587 · see citing works
Self-citation
MRI measures of entorhinal cortex vs hippocampus in preclinical AD
Killiany, R., Hyman, B. T., Gómez‐Isla, T., Moss, M. B., Kikinis, R., Jolesz, F. A., Tanzi, R. E., Jones, K., & Albert, M. (2002) · Neurology · doi:10.1212/wnl.58.8.1188 · Cited by 564 · see citing works
Medial temporal lobe function and structure in mild cognitive impairment
Dickerson, B. C., Salat, D. H., Bates, J. F., Atiya, M., Killiany, R., Greve, D. N., Dale, A. M., Stern, C. E., Blacker, D., Albert, M., et al. (2004) · Annals of Neurology · doi:10.1002/ana.20163 · Cited by 561 · see citing works
Self-citation
Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI☆
MISRA, C., FAN, Y., & DAVATZIKOS, C. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.031 · Cited by 552 · see citing works
Effects of Aβ immunization (AN1792) on MRI measures of cerebral volume in Alzheimer disease
Fox, N. C., Black, R. S., Gilman, S., Rossor, M. N., Griffith, S. G., Jenkins, L., & Koller, M. (2005) · Neurology · doi:10.1212/01.wnl.0000159743.08996.99 · Cited by 550 · see citing works
Self-citation
Hippocampal formation glucose metabolism and volume losses in MCI and AD
De Santi, S., de Leon, M. J., Rusinek, H., Convit, A., Tarshish, C. Y., Roche, A., Tsui, W. H., Kandil, E., Boppana, M., Daisley, K., et al. (2001) · Neurobiology of Aging · doi:10.1016/s0197-4580(01)00230-5 · Cited by 548 · see citing works
Alzheimer's disease
Foster, N. L., Chase, T. N., Fedio, P., Patronas, N. J., Brooks, R. A., & Chiro, G. D. (1983) · Neurology · doi:10.1212/wnl.33.8.961 · Cited by 540 · see citing works
The Alzheimer's Disease Neuroimaging Initiative positron emission tomography core
Jagust, W. J., Bandy, D., Chen, K., Foster, N. L., Landau, S. M., Mathis, C. A., Price, J. C., Reiman, E. M., Skovronsky, D., Koeppe, R. A., et al. (2010) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2010.03.003 · Cited by 537 · 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
Self-citation
Amyloid, hypometabolism, and cognition in Alzheimer disease: An [11C]PIB and [18F]FDG PET study
Edison, P., Archer, H. A., Hinz, R., Hammers, A., Pavese, N., Tai, Y. F., Hotton, G., Cutler, D., Fox, N., Kennedy, A., et al. (2007) · Neurology · doi:10.1212/01.wnl.0000244749.20056.d4 · Cited by 518 · see citing works
Self-citation
Microglia, amyloid, and cognition in Alzheimer's disease: An [11C](R)PK11195-PET and [11C]PIB-PET study
Edison, P., Archer, H. A., Gerhard, A., Hinz, R., Pavese, N., Turkheimer, F. E., Hammers, A., Tai, Y. F., Fox, N., Kennedy, A., et al. (2008) · Neurobiology of Disease · doi:10.1016/j.nbd.2008.08.001 · Cited by 513 · see citing works
Self-citation
Evidence from Functional Neuroimaging of a Compensatory Prefrontal Network in Alzheimer's Disease
Grady, C. L., McIntosh, A. R., Beig, S., Keightley, M., Burian, H., & Black, S. E. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-03-00986.2003 · Cited by 504 · see citing works
Imaging of amyloid burden and distribution in cerebral amyloid angiopathy
Johnson, K. A., Gregas, M., Becker, J. A., Kinnecom, C., Salat, D. H., Moran, E. K., Smith, E. E., Rosand, J., Rentz, D. M., Klunk, W. E., et al. (2007) · Annals of Neurology · doi:10.1002/ana.21164 · Cited by 495 · see citing works
Self-citation
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
Aβ amyloid and glucose metabolism in three variants of primary progressive aphasia
Rabinovici, G. D., Jagust, W. J., Furst, A. J., Ogar, J. M., Racine, C. A., Mormino, E. C., O'Neil, J. P., Lal, R. A., Dronkers, N. F., Miller, B. L., et al. (2008) · Annals of Neurology · doi:10.1002/ana.21451 · Cited by 477 · see citing works
Inverse relationship between education and parietotemporal perfusion deficit in Alzheimer's disease
Stern, Y., Alexander, G. E., Prohovnik, I., & Mayeux, R. (1992) · Annals of Neurology · doi:10.1002/ana.410320311 · Cited by 470 · see citing works
Relationships between biomarkers in aging and dementia
Jagust, W. J., Landau, S. M., Shaw, L. M., Trojanowski, J. Q., Koeppe, R. A., Reiman, E. M., Foster, N. L., Petersen, R. C., Weiner, M. W., Price, J. C., et al. (2009) · Neurology · doi:10.1212/wnl.0b013e3181bc010c · Cited by 456 · see citing works
fMRI studies of associative encoding in young and elderly controls and mild Alzheimer's disease
Sperling, R. A. (2002) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.74.1.44 · Cited by 455 · see citing works
Self-citation
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
Metabolic Mapping of Functional Activity in the Hypothalamo-Neurohypophysial System of the Rat
Schwartz, W. J., Smith, C. B., Davidsen, L., Savaki, H., Sokoloff, L., Mata, M., Fink, D. J., & Gainer, H. (1979) · Science · doi:10.1126/science.462184 · Cited by 454 · see citing works
Focal Decline of Cortical Thickness in Alzheimer's Disease Identified by Computational Neuroanatomy
Lerch, J. P., Pruessner, J. C., Zijdenbos, A. P., Hampel, H. J., Teipel, S. J., & Evans, A. C. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh200 · Cited by 431 · see citing works
Structural magnetic resonance imaging in the practical assessment of dementia: beyond exclusion
Scheltens, P., Fox, N. C., Barkhof, F., & DeCarli, C. S. (2002) · The Lancet Neurology · doi:10.1016/s1474-4422(02)00002-9 · Cited by 410 · see citing works
Self-citation
11 C-PIB PET imaging in Alzheimer disease and frontotemporal lobar degeneration
Rabinovici, G. D., Furst, A. J., O’Neil, J. P., Racine, C. A., Mormino, E. C., Baker, S. L., Chetty, S., Patel, P. R., Pagliaro, T. A., Klunk, W. E., et al. (2007) · Neurology · doi:10.1212/01.wnl.0000259035.98480.ed · Cited by 408 · see citing works
Self-citation
Correlations between apolipoprotein E ε4 gene dose and brain-imaging measurements of regional hypometabolism
Reiman, E. M., Chen, K., Alexander, G. E., Caselli, R. J., Bandy, D., Osborne, D., Saunders, A. M., & Hardy, J. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0500579102 · Cited by 401 · see citing works
MRI and CSF biomarkers in normal, MCI, and AD subjects
Vemuri, P., Wiste, H. J., Weigand, S. D., Shaw, L. M. J., Trojanowski, J. Q., Weiner, M. W., Knopman, D. S., Petersen, R. C., & Jack, C. R. (2009) · Neurology · doi:10.1212/wnl.0b013e3181af79fb · Cited by 398 · see citing works
A meta-analysis of hippocampal atrophy rates in Alzheimer's disease
Barnes, J., Bartlett, J. W., van de Pol, L. A., Loy, C. T., Scahill, R. I., Frost, C. D., Thompson, P. M., & Fox, N. C. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.01.010 · Cited by 396 · see citing works
Self-citation
Cognition, reserve, and amyloid deposition in normal aging
Rentz, D. M., Locascio, J. J., Becker, J. A., Moran, E. K., Eng, E., Buckner, R. L., Sperling, R. A., & Johnson, K. A. (2009) · Annals of Neurology · doi:10.1002/ana.21904 · Cited by 395 · see citing works
Self-citation
When less means more: deactivations during encoding that predict subsequent memory
Daselaar, S. M., Prince, S. E., & Cabeza, R. E. L. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.031 · Cited by 389 · see citing works
Brain structure and function related to cognitive reserve variables in normal aging, mild cognitive impairment and Alzheimer's disease
Solé‐Padullés, C., Bartrés‐Faz, D., Junqué, C., Vendrell, P., Rami, L., Clemente, I. C., Bosch, B., Villar, A., Bargalló, N., Jurado, M. Á., et al. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.10.008 · Cited by 387 · see citing works
Age-related memory impairment associated with loss of parietal deactivation but preserved hippocampal activation
Miller, S. L., Celone, K., DePeau, K. M., Diamond, E. L., Dickerson, B. C., Rentz, D. M., Pihlajamaki, M. M., & Sperling, R. A. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0706818105 · Cited by 380 · see citing works
Self-citation
Functional abnormalities of the medial temporal lobe memory system in mild cognitive impairment and Alzheimer's disease: Insights from functional MRI studies
Dickerson, B. C., & Sperling, R. A. (2007) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2007.11.030 · Cited by 375 · see citing works
Self-citation
Medial temporal lobe atrophy on MRI differentiates Alzheimer's disease from dementia with Lewy bodies and vascular cognitive impairment: a prospective study with pathological verification of diagnosis
Burton, E. J., Barber, R., Mukaetova‐Ladinska, E. B., Robson, J., Perry, R. H., Jaros, E., Kalaria, R. N., & O'Brien, J. T. (2008) · Brain · doi:10.1093/brain/awn298 · Cited by 373 · see citing works
fMRI evidence of compensatory mechanisms in older adults at genetic risk for Alzheimer disease
Bondi, M. W., Houston, W. S., Eyler, L. T., & Brown, G. G. (2005) · Neurology · doi:10.1212/01.wnl.0000150885.00929.7e · Cited by 372 · see citing works
Tensor-based morphometry as a neuroimaging biomarker for Alzheimer's disease: An MRI study of 676 AD, MCI, and normal subjects
Hua, X., Leow, A., Parikshak, N., Lee, S., Chiang, M.-C., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.07.013 · Cited by 359 · see citing works
Hippocampal volume as an index of Alzheimer neuropathology
Gosche, K. M., Mortimer, J. A., Smith, C. D., Markesbery, W. R., & Snowdon, D. A. (2002) · Neurology · doi:10.1212/wnl.58.10.1476 · Cited by 359 · see citing works
Using Serial Registered Brain Magnetic Resonance Imaging to Measure Disease Progression in Alzheimer Disease
Fox, N. C., Cousens, S., Scahill, R. I., Harvey, R. J., & Rossor, M. N. (2000) · Archives of Neurology · doi:10.1001/archneur.57.3.339 · Cited by 354 · see citing works
Self-citation
Cerebrospinal fluid tau and ptau181 increase with cortical amyloid deposition in cognitively normal individuals: Implications for future clinical trials of Alzheimer's disease
Fagan, A. M., Mintun, M. A., Shah, A. R., Aldea, P., Roe, C. M., Mach, R. H., Marcus, D., Morris, J. C., & Holtzman, D. M. (2009) · EMBO Molecular Medicine · doi:10.1002/emmm.200900048 · Cited by 353 · see citing works
Comparison of memory fMRI response among normal, MCI, and Alzheimer’s patients
Machulda, M. M., Ward, H. A., Borowski, B., Gunter, J. L., H., R., O’Brien, P. C., Petersen, R. C., Boeve, B. F., Knopman, D. S., Tang‐Wai, D. F., et al. (2003) · Neurology · doi:10.1212/01.wnl.0000079052.01016.78 · Cited by 351 · see citing works
FDG PET imaging in patients with pathologically verified dementia.
Hoffman, J. M., Welsh-Bohmer, K. A., Hanson, M., Crain, B. J., Hulette, C. M., Earl, N., & Coleman, R. E. (2000) · PubMed · Cited by 350 · see citing works
Medial temporal lobe atrophy on MRI predicts dementia in patients with mild cognitive impairment
Korf, E. S. C., Wahlund, L., Visser, P. J., & Scheltens, P. (2004) · Neurology · doi:10.1212/01.wnl.0000133114.92694.93 · Cited by 342 · see citing works
Molecular imaging with Pittsburgh Compound B confirmed at autopsy: a case report.
Bacskai, B. J., Frosch, M. P., Freeman, S. H., Raymond, S. B., Augustinack, J. C., Johnson, K. A., Irizarry, M. C., Klunk, W. E., Mathis, C. A., DeKosky, S. T., et al. (2007) · PubMed · doi:10.1001/archneur.64.3.431 · Cited by 341 · see citing works
Self-citation
Amyloid imaging in mild cognitive impairment subtypes
Wolk, D. A., Price, J. C., Saxton, J. A., Snitz, B. E., James, J. A., López, O. L., Aizenstein, H. J., Cohen, A. D., Weissfeld, L. A., Mathis, C. A., et al. (2009) · Annals of Neurology · doi:10.1002/ana.21598 · Cited by 339 · see citing works
Self-citation
Correlation between rates of brain atrophy and cognitive decline in AD
Fox, N. C., Scahill, R. I., Crum, W. R., & Rossor, M. N. (1999) · Neurology · doi:10.1212/wnl.52.8.1687 · Cited by 338 · see citing works
Self-citation
Phase 1 Study of the Pittsburgh Compound B Derivative 18 F-Flutemetamol in Healthy Volunteers and Patients with Probable Alzheimer Disease
Nelissen, N., Laere, K. V., Thurfjell, L., Owenius, R., Vandenbulcke, M., Koole, M. J. B., Bormans, G. M., Brooks, D. J., & Vandenberghe, R. R. (2009) · Journal of Nuclear Medicine · doi:10.2967/jnumed.109.063305 · Cited by 331 · see citing works
Association of premorbid intellectual function with cerebral metabolism in Alzheimer's disease: implications for the cognitive reserve hypothesis
(1997) · American Journal of Psychiatry · doi:10.1176/ajp.154.2.165 · Cited by 327 · see citing works
Tracking atrophy progression in familial Alzheimer's disease: a serial MRI study
Ridha, B. H., Barnes, J., Bartlett, J. W., Godbolt, A., Pepple, T., Rossor, M. N., & Fox, N. C. (2006) · The Lancet Neurology · doi:10.1016/s1474-4422(06)70550-6 · Cited by 326 · see citing works
Self-citation
Regional glucose metabolic abnormalities are not the result of atrophy in Alzheimer's disease
Ibáñez, V., Pietrini, P., Alexander, G. E., Furey, M. L., Teichberg, D., Rajapakse, J. C., Рапопорт, С. И., Schapiro, M. B., & Horwitz, B. (1998) · Neurology · doi:10.1212/wnl.50.6.1585 · Cited by 322 · see citing works
In vivo 13 C NMR measurements of cerebral glutamine synthesis as evidence for glutamate–glutamine cycling
Sibson, N. R., Dhankhar, A., Mason, G. F., Behar, K. L., Rothman, D. L., & Shulman, R. G. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.6.2699 · Cited by 321 · see citing works
Increased fMRI responses during encoding in mild cognitive impairment
Hämäläinen, A., Pihlajamaki, M. M., Tanila, H., Hänninen, T., Niskanen, E. I., Tervo, S., Karjalainen, P. A., Vanninen, R. L., & Soininen, H. S. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.08.008 · Cited by 316 · see citing works
Amygdalohippocampal MR volume measurements in the early stages of Alzheimer disease.
Lehéricy, S., Baulac, M., Jacques Chiras, C., Pierot, L., Martin-Duverneuil, N., Pillon, B., Deweer, B., Dubois, B., & Marsault, C. (1994) · PubMed Central · Cited by 308 · see citing works
The Binding of 2-(4′-Methylaminophenyl)Benzothiazole to Postmortem Brain Homogenates Is Dominated by the Amyloid Component
Klunk, W. E., Wang, Y., Huang, G.-F., Debnath, M. L., Holt, D. P., Shao, L., Hamilton, R. L., Ikonomović, M. D., DeKosky, S. T., & Mathis, C. A. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-06-02086.2003 · Cited by 305 · see citing works
Self-citation
PIB is a non-specific imaging marker of amyloid-beta (A ) peptide-related cerebral amyloidosis
Lockhart, A., Lamb, J. R., Osredkar, T., Sue, L. I., Joyce, J. N., Ye, L., Libri, V., Leppert, D., & Beach, T. G. (2007) · Brain · doi:10.1093/brain/awm191 · Cited by 302 · see citing works
Impaired cerebral glucose metabolism and cognitive functioning predict deterioration in mild cognitive impairment
Arnáiz, E., Jelic, V., Almkvist, O., Wahlund, L.-O., Winblad, B., Valind, S., & Nordberg, A. (2001) · Neuroreport · doi:10.1097/00001756-200103260-00045 · Cited by 302 · see citing works
What does fluorodeoxyglucose PET imaging add to a clinical diagnosis of dementia?
Jagust, W. J., Reed, B., Mungas, D., Ellis, W. G., & DeCarli, C. S. (2007) · Neurology · doi:10.1212/01.wnl.0000269790.05105.16 · Cited by 299 · see citing works
Longitudinal fMRI in elderly reveals loss of hippocampal activation with clinical decline
O’Brien, J. L., O’Keefe, K., LaViolette, P. S., DeLuca, A. N., Blacker, D., Dickerson, B. C., & Sperling, R. A. (2010) · Neurology · doi:10.1212/wnl.0b013e3181e3966e · Cited by 297 · see citing works
Self-citation
Increased metabolic vulnerability in early-onset Alzheimer’s disease is not related to amyloid burden
Rabinovici, G. D., Furst, A. J., Alkalay, A., Racine, C. A., O’Neil, J. P., Janabi, M., Baker, S. L., Agarwal, N., Bonasera, S. J., Mormino, E. C., et al. (2010) · Brain · doi:10.1093/brain/awp326 · Cited by 280 · see citing works
Categorical and correlational analyses of baseline fluorodeoxyglucose positron emission tomography images from the Alzheimer’s Disease Neuroimaging Initiative (ADNI)
Langbaum, J. B. S., Chen, K., Lee, W., Reschke, C., Bandy, D., Fleisher, A. S., Alexander, G. E., Foster, N. L., Weiner, M. W., Koeppe, R. A., et al. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.12.072 · Cited by 279 · see citing works
Beta Amyloid in Alzheimer's Disease: Increased Deposition in Brain Is Reflected in Reduced Concentration in Cerebrospinal Fluid
Grimmer, T., Riemenschneider, M., Förstl, H., Henriksen, G., Klunk, W. E., Mathis, C. A., Shiga, T., Wester, H.-J., Kurz, A., & Drzezga, A. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.01.027 · Cited by 278 · see citing works
Self-citation
Diagnostic power of default mode network resting state fMRI in the detection of Alzheimer's disease
Koch, W., Teipel, S., Mueller, S., Benninghoff, J., Wagner, M., Bokde, A. L. W., Hampel, H. J., Coates, U., Reiser, M. F., & Meindl, T. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.04.013 · Cited by 273 · see citing works
MRI volumetric study of dementia with Lewy bodies
Barber, R., Ballard, C. G., McKeith, I. G., Gholkar, A. R., & O'Brien, J. T. (2000) · Neurology · doi:10.1212/wnl.54.6.1304 · Cited by 266 · see citing works
Better Memory and Neural Efficiency in Young Apolipoprotein E 4 Carriers
Mondadori, C. R. A., de Quervain, D. J. ‐., Buchmann, A., Mustovic, H., Wollmer, M. A., Schmidt, C. F., Boesiger, P., Hock, C., Nitsch, R. M., Papassotiropoulos, A., et al. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhl103 · Cited by 265 · see citing works
Memory encoding in Alzheimer's disease: an fMRI study of explicit and implicit memory
Golby, A. J. (2005) · Brain · doi:10.1093/brain/awh400 · Cited by 260 · see citing works
Medial temporal lobe atrophy on MRI scans and the diagnosis of Alzheimer disease
Duara, R., Loewenstein, D. A., Potter, E., Appel, J., Greig, M. T., Urs, R., Shen, Q., Raj, A., Small, B., Barker, W., et al. (2008) · Neurology · doi:10.1212/01.wnl.0000336925.79704.9f · Cited by 256 · see citing works
Default-mode network activity distinguishes amnestic type mild cognitive impairment from healthy aging: A combined structural and resting-state functional MRI study
Bai, F., Zhang, Z., Yu, H., Shi, Y., Yuan, Y., Zhu, W., Zhang, X., & Qian, Y. (2008) · Neuroscience Letters · doi:10.1016/j.neulet.2008.04.021 · Cited by 254 · see citing works
Effect ofAPOEgenotype on amyloid plaque load and gray matter volume in Alzheimer disease
Drzezga, A., Grimmer, T., Henriksen, G., Mühlau, M., Perneczky, R., Miederer, I., Praus, C., Sorg, C., Wohlschläger, A., Riemenschneider, M., et al. (2009) · Neurology · doi:10.1212/wnl.0b013e3181a2e8d0 · Cited by 248 · see citing works
Hippocampal activation in adults with mild cognitive impairment predicts subsequent cognitive decline
Miller, S. L., Fenstermacher, E., Bates, J., Blacker, D., Sperling, R. A., & Dickerson, B. C. (2007) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2007.124149 · Cited by 241 · see citing works
Self-citation
Basal Cerebral Metabolism May Modulate the Cognitive Effects of Aβ in Mild Cognitive Impairment: An Example of Brain Reserve
Cohen, A. D., Price, J. C., Weissfeld, L. A., James, J. A., Rosario, B. L., Bi, W., Nebes, R. D., Saxton, J. A., Snitz, B. E., Aizenstein, H. J., et al. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.3669-09.2009 · Cited by 240 · see citing works
Self-citation
Fluoro-deoxyglucose positron emission tomography in diffuse Lewy body disease
Albin, R. L., Minoshima, S., D’Amato, C. J., Frey, K. A., Kuhl, D. A., & Sima, A. A. F. (1996) · Neurology · doi:10.1212/wnl.47.2.462 · Cited by 239 · see citing works
Cognitive reserve hypothesis: Pittsburgh Compound B and fluorodeoxyglucose positron emission tomography in relation to education in mild Alzheimer's disease
Kemppainen, N. M., Aalto, S., Karrasch, M., Någren, K., Savisto, N., Oikonen, V., Viitanen, M., Parkkola, R., & Rinne, J. O. (2008) · Annals of Neurology · doi:10.1002/ana.21212 · Cited by 239 · see citing works
Activation of brain regions vulnerable to Alzheimer's disease: The effect of mild cognitive impairment
Johnson, S. C., Schmitz, T. W., Moritz, C. H., Meyerand, M. E., Rowley, H. A., Alexander, A. L., Hansen, K. W., Gleason, C. E., Carlsson, C. M., Ries, M. L., et al. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.017 · Cited by 235 · see citing works
Functional MR imaging in Alzheimer's disease during memory encoding.
Rombouts, S. A. R. B., Barkhof, F., Veltman, D. J., Machielsen, W. C. M., Witter, M. P., Bierlaagh, M. A., Lazeron, R. H. C., Valk, J., & Scheltens, P. (2000) · PubMed Central · Cited by 234 · see citing works
Voxel-based analysis of PET amyloid ligand [ 11 C]PIB uptake in Alzheimer disease
Kemppainen, N. M., Aalto, S., Wilson, I. A., Någren, K., Helin, S., Brück, A., Oikonen, V., Kailajärvi, M., Scheinin, M., Viitanen, M. H., et al. (2006) · Neurology · doi:10.1212/01.wnl.0000240117.55680.0a · Cited by 227 · see citing works
Brain imaging evidence of preclinical Alzheimer's disease in normal aging
Jagust, W., Gitcho, A., Sun, F., Kuczynski, B., Mungas, D., & Haan, M. (2006) · Annals of Neurology · doi:10.1002/ana.20799 · Cited by 222 · see citing works
Resting-state BOLD networks versus task-associated functional MRI for distinguishing Alzheimer's disease risk groups
Fleisher, A. S., Sherzai, A., Taylor, C., Langbaum, J. B. S., Chen, K., & Buxton, R. B. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.021 · Cited by 217 · see citing works
Ten-year risk of dementia in subjects with mild cognitive impairment
Visser, P. J., Kester, A. D. M., JOLLES, J., & Verhey, F. R. J. (2006) · Neurology · doi:10.1212/01.wnl.0000238517.59286.c5 · Cited by 217 · see citing works
Alzheimer Disease and Cognitive Reserve
Roe, C. M., Mintun, M. A., D’Angelo, G., Xiong, C., Grant, E., & Morris, J. C. (2008) · Archives of Neurology · doi:10.1001/archneur.65.11.1467 · Cited by 215 · see citing works
In vivo amyloid imaging with PET in frontotemporal dementia
Engler, H., Santillo, A. F., Wang, S. X., Lindau, M. P., Savitcheva, I., Nordberg, A. K., Lannfelt, L., Långström, B., & Kilander, L. (2007) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-007-0523-1 · Cited by 214 · see citing works
Cholinergic enhancement of frontal lobe activity in mild cognitive impairment
Saykin, A. J., Wishart, H. A., Rabin, L. A., Flashman, L. A., McHugh, T., Mamourian, A. C., & Santulli, R. B. (2004) · Brain · doi:10.1093/brain/awh177 · Cited by 213 · see citing works
Reduced hippocampal activation during episodic encoding in middle-aged individuals at genetic risk of Alzheimer's Disease: a cross-sectional study
Trivedi, M. A., Schmitz, T. W., Ries, M. L., Torgerson, B. M., Sager, M. A., Hermann, B. P., Asthana, S., & Johnson, S. C. (2006) · BMC Medicine · doi:10.1186/1741-7015-4-1 · Cited by 210 · see citing works
Functional MRI detection of pharmacologically induced memory impairment
Sperling, R. A., Greve, D. N., Dale, A. M., Killiany, R., Holmes, J., Rosas, H. D., Cocchiarella, A. J., Firth, P. G., Rosen, B. R., Lake, S. L., et al. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.012467899 · Cited by 210 · see citing works
Self-citation
Cortical Synaptic IntegrationIn VivoIs Disrupted by Amyloid-β Plaques
Stern, E. A., Bacskai, B. J., Hickey, G. A., Attenello, F. J., Lombardo, J. A., & Hyman, B. T. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.0462-04.2004 · Cited by 210 · see citing works
Qualitative Estimates of Medial Temporal Atrophy as a Predictor of Progression From Mild Cognitive Impairment to Dementia
DeCarli, C. S. (2007) · Archives of Neurology · doi:10.1001/archneur.64.1.108 · Cited by 208 · see citing works
Preserved Neural Correlates of Priming in Old Age and Dementia
Lustig, C., & Buckner, R. L. (2004) · Neuron · doi:10.1016/j.neuron.2004.04.002 · Cited by 208 · see citing works
Fluid Biomarkers in Alzheimer Disease
Blennow, K., Zetterberg, H., & Fagan, A. M. (2012) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a006221 · Cited by 208 · see citing works
Resting-state brain glucose utilization as measured by PET is directly related to regional synaptophysin levels: a study in baboons
Rocher, A. B., Chapon, F., Blaizot, X., Baron, J.-C., & Chavoix, C. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.07.002 · Cited by 204 · see citing works
Change in rates of cerebral atrophy over time in early-onset Alzheimer's disease: longitudinal MRI study
Chan, D., Janssen, J. C., Whitwell, J. L., Watt, H., Jenkins, R., Frost, C. D., Rossor, M. N., & Fox, N. C. (2003) · The Lancet · doi:10.1016/s0140-6736(03)14469-8 · Cited by 204 · see citing works
Self-citation
Absence of Pittsburgh Compound B Detection of Cerebral Amyloid β in a Patient With Clinical, Cognitive, and Cerebrospinal Fluid Markers of Alzheimer Disease
Cairns, N. J., Ikonomović, M. D., Benzinger, T. L. S., Storandt, M., Fagan, A. M., Shah, A. R., Taylor‐Reinwald, L., Carter, D. R., Felton, A., Holtzman, D. M., et al. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.279 · Cited by 203 · see citing works
Self-citation
Imaging of amyloid plaques and cerebral glucose metabolism in semantic dementia and Alzheimer’s disease
Drzezga, A. E., Grimmer, T., Henriksen, G., Stangier, I., Perneczky, R., Diehl‐Schmid, J., Mathis, C. A., Klunk, W. E., Price, J. C., & DeKosky, S. T. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.09.020 · Cited by 202 · see citing works
Self-citation
Altered brain activation in cognitively intact individuals at high risk for Alzheimer’s disease
Smith, C. D., Andersen, A. H., Kryscio, R. J., Schmitt, F. A., Kindy, M. S., Blonder, L. X., & Avison, M. J. (1999) · Neurology · doi:10.1212/wnl.53.7.1391 · Cited by 194 · see citing works
Comparison of 18F-FDG and PiB PET in Cognitive Impairment
Lowe, V. J., Kemp, B. J., Jack, C. R., Senjem, M. L., Weigand, S. D., Shiung, M. S., Smith, G. E., Knopman, D. S., Boeve, B. F., Mullan, B. P., et al. (2009) · Journal of Nuclear Medicine · doi:10.2967/jnumed.108.058529 · Cited by 192 · see citing works
Declining brain glucose metabolism in normal individuals with a maternal history of Alzheimer disease
Mosconi, L., Mistur, R., Switalski, R., Brys, M., Glodzik, L., Rich, K., Pirraglia, E., Tsui, W., De Santi, S., & de Leon, M. J. (2009) · Neurology · doi:10.1212/01.wnl.0000333247.51383.43 · Cited by 188 · see citing works
Regional hypometabolism in Alzheimer's disease as measured by positron emission tomography after correction for effects of partial volume averaging
Meltzer, C. C., Zubieta, J.-K., Brandt, J., Tune, L. E., Mayberg, H., & Frost, J. J. (1996) · Neurology · doi:10.1212/wnl.47.2.454 · Cited by 182 · see citing works
Atrophy rates accelerate in amnestic mild cognitive impairment
Jack, C. R., Weigand, S. D., Shiung, M. M., Przybelski, S. A., O’Brien, P. C., Gunter, J. L., Knopman, D. S., Boeve, B. F., Smith, G. E., & Petersen, R. C. (2007) · Neurology · doi:10.1212/01.wnl.0000281688.77598.35 · Cited by 175 · see citing works
Hippocampal activation in patients with mild cognitive impairment is necessary for successful memory encoding
Kircher, T. T. J., Weis, S., Freymann, K., Erb, M., Jessen, F., Grodd, W., Heun, R., & Leube, D. (2007) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2006.104877 · Cited by 173 · see citing works
Deciphering Alzheimer DiseasePreprint
Selkoe, D. J., Mandelkow�, E., & Holtzman, D. M. (2011) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a011460 · Cited by 173 · see citing works
Twelve-month metabolic declines in probable Alzheimer's disease and amnestic mild cognitive impairment assessed using an empirically pre-defined statistical region-of-interest: Findings from the Alzheimer's Disease Neuroimaging Initiative
Chen, K., Langbaum, J. B. S., Fleisher, A., Ayutyanont, N., Reschke, C., Lee, W., Liu, X., Bandy, D., Alexander, G. E., Thompson, P. M., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.064 · Cited by 166 · see citing works
Cortical PIB binding in Lewy body disease is associated with Alzheimer-like characteristics
Maetzler, W., Liepelt, I., Reimold, M., Reischl, G., Solbach, C., Becker, C., Schulte, C., Leyhe, T., Keller, S., Melms, A., et al. (2009) · Neurobiology of Disease · doi:10.1016/j.nbd.2008.12.008 · Cited by 164 · see citing works
In vivo amyloid imaging in autopsy-confirmed Parkinson disease with dementia
Burack, M. A., Hartlein, J. M., Flores, H., Taylor-Reinwald, L., Perlmutter, J. S., & Cairns, N. J. (2009) · Neurology · doi:10.1212/wnl.0b013e3181c7da8e · Cited by 163 · see citing works
Serial magnetic resonance imaging of cerebral atrophy in preclinical Alzheimer's disease
Fox, N. C., Warrington, E. K., & Rossor, M. N. (1999) · The Lancet · doi:10.1016/s0140-6736(99)00496-1 · Cited by 162 · see citing works
Self-citation
Alterations in brain activation during cholinergic enhancement with rivastigmine in Alzheimer's disease
Rombouts, S. A. R. B. (2002) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.73.6.665 · Cited by 162 · see citing works
Brain atrophy associated with baseline and longitudinal measures of cognition
Cardenas, V. A., Chao, L. L., Studholme, C., Yaffe, K. S., Miller, B. L., Madison, C. A., Buckley, S. T., Mungas, D., Schuff, N. W., & Weiner, M. W. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.04.011 · Cited by 161 · see citing works
Relationship of Cerebrospinal Fluid Markers to11C-PiB and18F-FDDNP Binding
Tolboom, N., van der Flier, W. M., Yaqub, M. M., Boellaard, R., Verwey, N. A., Blankenstein, M. A., Windhorst, A. D., Scheltens, P., Lammertsma, A. A., & van Berckel, B. N. M. (2009) · Journal of Nuclear Medicine · doi:10.2967/jnumed.109.064360 · Cited by 160 · see citing works
Dynamic changes in PET amyloid and FDG imaging at different stages of Alzheimer's disease
Kadir, A., Almkvist, O., Forsberg, A., Wall, A. E., Engler, H., Långström, B., & Nordberg, A. K. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.06.015 · Cited by 154 · see citing works
Verbal paired-associate learning by APOE genotype in non-demented older adults: fMRI evidence of a right hemispheric compensatory response
Han, S. D., Houston, W. S., Jak, A. J., Eyler, L. T., Nagel, B. J., Fleisher, A., Brown, G. G., Corey‐Bloom, J., Salmon, D. P., Thal, L. J., et al. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.12.013 · Cited by 151 · see citing works
Deconvolution-based partial volume correction in Raclopride-PET and Monte Carlo comparison to MR-based method
Tohka, J., & Reilhac, A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.10.038 · Cited by 150 · see citing works
Cortical Deactivation in Mild Cognitive Impairment: High-Field-Strength Functional MR Imaging
Petrella, J. R., Wang, L., Krishnan, S., Slavin, M. J., Prince, S. E., Tran, T.-T. T., & Doraiswamy, P. M. (2007) · Radiology · doi:10.1148/radiol.2451061847 · Cited by 148 · see citing works
Cognition, glucose metabolism and amyloid burden in Alzheimer's disease
Furst, A. J., Rabinovici, G. D., Rostomian, A. H., Steed, T., Alkalay, A., Racine, C. A., Miller, B. L., & Jagust, W. J. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.03.011 · Cited by 144 · see citing works
Dissociation of regional activation in mild AD during visual encoding
Kato, T., Knopman, D. S., & Liu, H. (2001) · Neurology · doi:10.1212/wnl.57.5.812 · Cited by 143 · see citing works
Longitudinal MRI findings from the vitamin E and donepezil treatment study for MCI
Jack, C. R., Petersen, R. C., Grundman, M., Jin, S., Gamst, A. C., Ward, C. P., Sencakova, D., Doody, R. S., & Thal, L. J. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.03.004 · Cited by 142 · see citing works
Model‐free group analysis shows altered BOLD FMRI networks in dementia
Rombouts, S. A. R. B., Damoiseaux, J. S., Goekoop, R., Barkhof, F., Scheltens, P., Smith, S. M., & Beckmann, C. F. (2007) · Human Brain Mapping · doi:10.1002/hbm.20505 · Cited by 141 · see citing works
Volumetric MRI and cognitive measures in Alzheimer disease
Ridha, B. H., Anderson, V. M., Barnes, J., Boyes, R. G., Price, S. L., Rossor, M. N., Whitwell, J. L., Jenkins, L., Black, R. S., Grundman, M., et al. (2008) · Journal of Neurology · doi:10.1007/s00415-008-0750-9 · Cited by 139 · see citing works
Self-citation
Increased fibrillar amyloid-β burden in normal individuals with a family history of late-onset Alzheimer’s
Mosconi, L., Rinne, J. O., Tsui, W. H., Berti, V., Li, Y., Wang, H., Murray, J., Scheinin, N., Någren, K., Williams, S., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0914141107 · Cited by 135 · see citing works
Effect of phenserine treatment on brain functional activity and amyloid in Alzheimer's disease
Kadir, A., Andreasen, N., Almkvist, O., Wall, A. E., Forsberg, A., Engler, H., Hagman, G., Lärksäter, M., Winblad, B. G., Zetterberg, H., et al. (2008) · Annals of Neurology · doi:10.1002/ana.21345 · Cited by 133 · see citing works
Reduced hippocampal volume in non-demented carriers of the apolipoprotein E ɛ4: Relation to chronological age and recognition memory
Lind, J., Larsson, A., Persson, J., Ingvar, M., Nilsson, L., Bäckman, L., Adolfsson, R., Cruts, M., Sleegers, K., Broeckhoven, C. V., et al. (2006) · Neuroscience Letters · doi:10.1016/j.neulet.2005.11.070 · Cited by 131 · see citing works
Subjective memory complaints: Objective neural markers in patients with Alzheimer's disease and major depressive disorder
Grön, G., Bittner, D., Schmitz, B., Wunderlich, A. P., & Riepe, M. W. (2002) · Annals of Neurology · doi:10.1002/ana.10157 · Cited by 125 · see citing works
Diagnosis and management of dementia with Lewy bodies: Third report of the DLB Consortium
Bonanni, L., Thomas, A., & ONOFRJ, M. C. (2006) · Neurology · doi:10.1212/01.wnl.0000224698.67660.45 · Cited by 125 · see citing works
Mild Cognitive Impairment: Evaluation with 4-T Functional MR Imaging
Petrella, J. R., Krishnan, S., Slavin, M. J., Tran, T.-T. T., Murty, L., & Doraiswamy, P. M. (2006) · Radiology · doi:10.1148/radiol.2401050739 · Cited by 123 · see citing works
Challenging the cholinergic system in mild cognitive impairment: a pharmacological fMRI study
Goekoop, R., Rombouts, S. A. R. B., Jonker, C., Hibbel, A., Knol, D. L., Truyen, L., Barkhof, F., & Scheltens, P. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.08.006 · Cited by 122 · see citing works
Identification of Alzheimer Disease Risk by Functional Magnetic Resonance Imaging
Fleisher, A., Houston, W. S., Eyler, L. T., Frye, S., Jenkins, C., Thal, L. J., & Bondi, M. W. (2005) · Archives of Neurology · doi:10.1001/archneur.62.12.1881 · Cited by 122 · see citing works
Brain activation patterns associated with working memory in relapsing-remitting MS
Wishart, H. A., Saykin, A. J., McDonald, B. C., Mamourian, A. C., Flashman, L. A., SCHUSCHU, K. R., Ryan, K. A., Fadul, C. E., & Kasper, L. H. (2004) · Neurology · doi:10.1212/01.wnl.0000103238.91536.5f · Cited by 120 · see citing works
Relative Capability of MR Imaging and FDG PET to Depict Changes Associated with Prodromal and Early Alzheimer Disease
Karow, D. S., McEvoy, L. K., Fennema‐Notestine, C., Hagler, D. J., Jennings, R. G., Brewer, J. B., Hoh, C. K., Dale, A. M., & Initiative, A. D. N. (2010) · Radiology · doi:10.1148/radiol.10091402 · Cited by 120 · see citing works
Brain function and cognition in a community sample of elderly Latinos
Jagust, W. J., Eberling, J. L., Wu, C. C., Finkbeiner, A., Mungas, D., Valk, P. E., & Haan, M. N. (2002) · Neurology · doi:10.1212/wnl.59.3.378 · Cited by 118 · see citing works
Pittsburgh Compound B (11C-PIB) and Fluorodeoxyglucose (18 F-FDG) PET in Patients With Alzheimer Disease, Mild Cognitive Impairment, and Healthy Controls
Devanand, D. P., Mikhno, A., Pelton, G. H., Cuasay, K., Pradhaban, G., Kumar, J. S. D., Upton, N., Lai, R. Y. K., Gunn, R. N., Libri, V., et al. (2010) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988710363715 · Cited by 107 · see citing works
Visual Assessment of Atrophy on Magnetic Resonance Imaging in the Diagnosis of Pathologically Confirmed Young-Onset Dementias
Likeman, M. J., Anderson, V. M., Stevens, J., Waldman, A. D., Godbolt, A. K., Frost, C. D., Rossor, M. N., & Fox, N. C. (2005) · Archives of Neurology · doi:10.1001/archneur.62.9.1410 · Cited by 104 · see citing works
Self-citation

Flagged first, then by citations

Research works printed but not linked: 1

Reiman EM, Chen K, Alexander GE, Caselli RJ, Bandy D, Osborne D, Saunders AM, Hardy J. 2005. Correla- tions between apolipoprotein E 14 gene dose and brain-imaging measurements of regional hypometabo- lism. Proc Natl Acad Sci 102: 8299-8302.

Sorted by citations

Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria
Dubois, B., Feldman, H. H., Jacova, C., Hampel, H., Molinuevo, J. L., Blennow, K., DeKosky, S. T., Gauthier, S., Selkoe, D., Bateman, R., et al. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70090-0 · Cited by 3,321 · see citing works
Self-citation
Microglial signatures and their role in health and disease
Butovsky, O., & Weiner, H. L. (2018) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0057-5 · Cited by 1,046 · see citing works
Recent Advancements in Pathogenesis, Diagnostics and Treatment of Alzheimer’s Disease
Khan, S., Barve, K. H., & Kumar, M. S. (2020) · Current Neuropharmacology · doi:10.2174/1570159x18666200528142429 · Cited by 820 · see citing works
“Other MRI techniques in development that are also adding to the knowledge of AD are diffusion tensor imaging (DTI) and associated tractography technologies, arterial spin labeling measures of cerebral blood flow and PET tracers targeted at the cholinergic system, microglial activation and other tracers [78].”
Background
Mechanisms of cognitive dysfunction in CKD
Viggiano, D., Wagner, C. A., Martino, G., Nedergaard, M., Zoccali, C., Unwin, R., & Capasso, G. (2020) · Nature Reviews Nephrology · doi:10.1038/s41581-020-0266-9 · Cited by 392 · see citing works
Imaging Techniques in Alzheimer’s Disease: A Review of Applications in Early Diagnosis and Longitudinal Monitoring
van Oostveen, W. M., & de Lange, E. C. M. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22042110 · Cited by 297 · see citing works
Phytochemicals as inhibitors of NF-κB for treatment of Alzheimer’s disease
Seo, E.-J., Fischer, N., & Efferth, T. (2018) · Pharmacological Research · doi:10.1016/j.phrs.2017.11.030 · Cited by 265 · see citing works
The human connectome in Alzheimer disease — relationship to biomarkers and genetics
Yu, M., Sporns, O., & Saykin, A. J. (2021) · Nature Reviews Neurology · doi:10.1038/s41582-021-00529-1 · Cited by 265 · see citing works
Brain Endothelial Cells Are Exquisite Sensors of Age-Related Circulatory Cues
Chen, M. B., Yang, A. C., Yousef, H., Lee, D., Chen, W., Schaum, N., Lehallier, B., Quake, S. R., & Wyss-Coray, T. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.03.012 · Cited by 233 · see citing works
“The hippocampus appears particularly vulnerable to aging, exhibiting the first signs of degeneration in Alzheimer’s disease (Bobinski et al., 2000; Johnson et al., 2012; Pennanen et al., 2004).”
Current progress, challenges and future prospects of diagnostic and therapeutic interventions in Alzheimer's disease
Rajasekhar, K., & Govindaraju, T. (2018) · RSC Advances · doi:10.1039/c8ra03620a · Cited by 150 · see citing works
Immune Cell Activation in the Cerebrospinal Fluid of Patients With Parkinson's Disease
Schröder, J. B., Pawlowski, M., Meyer zu Hörste, G., Gross, C. C., Wiendl, H., Meuth, S. G., Ruck, T., & Warnecke, T. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.01081 · Cited by 134 · see citing works
Alzheimer’s disease as type 3 diabetes: understanding the link and implications
Kciuk, M., Kruczkowska, W., Gałęziewska, J., Wanke, K., Kałuzińska-Kołat, Ż., Aleksandrowicz, M., & Kontek, R. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252211955 · Cited by 98 · see citing works
Vision function abnormalities in Alzheimer disease
Tzekov, R., & Mullan, M. (2014) · Survey of Ophthalmology · doi:10.1016/j.survophthal.2013.10.002 · Cited by 94 · see citing works
Evaluation of18F-UCB-H as a Novel PET Tracer for Synaptic Vesicle Protein 2A in the Brain
Warnock, G. I., Aerts, J., Bahri, M. A., Bretin, F., Lemaire, C., Giacomelli, F., Mievis, F., Mestdagh, N., Buchanan, T., Valade, A., et al. (2014) · Journal of Nuclear Medicine · doi:10.2967/jnumed.113.136143 · Cited by 85 · see citing works
Non-cell autonomous effects of the senescence-associated secretory phenotype in cancer therapy.
Saleh, T., Tyutynuk-Massey, L., Cudjoe, E. K., Idowu, M. O., Landry, J. W., & Gewirtz, D. A. (2018) · Frontiers in Oncology · doi:10.3389/fonc.2018.00164 · Cited by 85 · see citing works
Resting State fMRI Reveals Diminished Functional Connectivity in a Mouse Model of Amyloidosis
Shah, D., Jonckers, E., Praet, J., Vanhoutte, G., Delgado y Palacios, R., Bigot, C., D’Souza, D. V., Verhoye, M., & Van der Linden, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0084241 · Cited by 82 · see citing works
Hierarchical Organization of Tau and Amyloid Deposits in the Cerebral Cortex
Sepulcre, J., Grothe, M. J., Sabuncu, M., Chhatwal, J., Schultz, A. P., Hanseeuw, B., El Fakhri, G., Sperling, R., & Johnson, K. A. (2017) · JAMA Neurology · doi:10.1001/jamaneurol.2017.0263 · Cited by 73 · see citing works
Self-citation
Early Alterations in Functional Connectivity and White Matter Structure in a Transgenic Mouse Model of Cerebral Amyloidosis
Grandjean, J., Schroeter, A., He, P., Tanadini, M., Keist, R., Krstic, D., Konietzko, U., Klohs, J., Nitsch, R. M., & Rudin, M. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.4762-13.2014 · Cited by 70 · see citing works
“Marked functional impairments have been observed in patients with AD using fMRI (Greicius et al., 2004; Johnson et al., 2012).”
Background
Artificial intelligence and open science in discovery of disease-modifying medicines for Alzheimer’s disease
Cheng, F., Wang, F., Tang, J., Zhou, Y., Fu, Z., Zhang, P., Haines, J. L., Leverenz, J. B., Gan, L., Hu, J., et al. (2024) · Cell Reports Medicine · doi:10.1016/j.xcrm.2023.101379 · Cited by 63 · see citing works
Should artificial intelligence be used in conjunction with neuroimaging in the diagnosis of Alzheimer’s disease?
Mirkin, S., & Albensi, B. C. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1094233 · Cited by 46 · see citing works
Anomaly Analysis of Alzheimer’s Disease in PET Images Using an Unsupervised Adversarial Deep Learning Model
Baydargil, H. B., Park, J.-S., & Kang, D.-Y. (2021) · Applied Sciences · doi:10.3390/app11052187 · Cited by 30 · see citing works
Modeling sleep alterations in Parkinson's disease: how close are we to valid translational animal models?
Fifel, K., Piggins, H., & Deboer, T. (2016) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2015.02.005 · Cited by 30 · see citing works
Cerebrospinal Fluid Biomarkers in Alzheimer’s Disease—From Brain Starch to Bench and Bedside
Pawlowski, M., Meuth, S., & Duning, T. (2017) · Diagnostics · doi:10.3390/diagnostics7030042 · Cited by 25 · see citing works
Detecting beta‐amyloid plaque via low rank based orthogonal projection and spatial‐spectrum detector using high‐resolution quantitative susceptibility mapping for preclinical studies
Chen, J., Han, X., Liu, Z., Zhou, C., Hu, R., Tabassam, S., Wyatt-Johnson, S. K., Oblak, A. L., Brutkiewicz, R. R., Lin, M., et al. (2026) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2025.3614233 · Cited by 2 · see citing works
“More recently, various imaging modalities, particularly in MRI encompassing both structural and functional modalities, have revealed characteristic changes in the brains of patients with AD [23].”

The Effect of Teaching Practical Physical Modalities on the Ordering Skills of Physical Medicine and Rehabilitation Residents
Sadat, B. E., Babaei-Ghazani, A., Alizadeh, M., et al. (2013) · DOAJ (DOAJ: Directory of Open Access Journals) · doi:10.5681/rdme.2013.009
Pediatric Neuroimaging (Contemporary Neuroimaging, Vol. 1)
Afshani, E. (1990) · Neurology · doi:10.1212/wnl.40.5.870
Predictors of Abnormal Neuroimaging of the Brain in Children With Epilepsy Aged 1 Month to 2 Years
Sanmaneechai, O., Danchaivijitr, N., & Likasitwattanakul, S. (2015) · Journal of Child Neurology · doi:10.1177/0883073815574199 · Cited by 3 · see citing works
[Genetic neuroimaging].
van der Wee, N. J. A., van Noorden, M. S., & Veltman, D. J. (2009) · PubMed
Neuroimaging методологијата и студиите на развој на мозокот кај адолесцентите
Miloseva, L., & Milosev, V. (2013) · Goce Delchev University Repository (Goce Delčev University of Štip)

Authors: Johnson, K. A., Fox, N. C., Sperling, R. A., & Klunk, W. E.
Affiliations: Brigham and Women's Hospital (US)
UCL Queen Square Institute of Neurology (GB)
University of Pittsburgh (US)
ORCID: Johnson, K. A.
Fox, N. C.
Sperling, R. A.
Klunk, W. E.
Venue: Cold Spring Harbor Perspectives in Medicine
Publisher: Cold Spring Harbor Laboratory
Published: 2012-01-31
Volume: 2
Issue: 4
Pages: a006213-a006213
ISSN: 2157-1422 (ISSN-L)
DOI: 10.1101/cshperspect.a006213
PMC: PMC3312396
OpenAlex: W2142367912
Cited by: 875
References: 238
Citations by year: 2026: 26 · 2025: 71 · 2024: 62 · 2023: 77 · 2022: 88 · 2021: 85 · 2020: 67 · 2019: 56 · 2018: 74 · 2017: 73 · 2016: 52 · 2015: 42 · 2014: 54 · 2013: 32 · 2012: 13
Type: posted content
Language: en
Open access: bronze
doi.org
Locations: Cold Spring Harbor Perspectives in Medicine (publishedVersion)
Europe PMC (PubMed Central) (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Pure Amsterdam UMC (publishedVersion)
Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
UCL Discovery (University College London) (submittedVersion)
Data Archiving and Networked Services (DANS) (submittedVersion)
Funders: National Institute for Health and Care Research (NF-SI-0508-10123)
Topics: Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
Keywords: Alzheimer's disease, neuroimaging, computed tomography, magnetic resonance imaging, functional MRI, positron emission tomography, FDG-PET, amyloid PET, Pittsburgh compound B, imaging biomarkers, prodromal Alzheimer's disease, disease staging, disease-modifying therapy, dementia diagnosis
MeSH terms: Alzheimer Disease, Amyloid, Brain, Humans, Magnetic Resonance Imaging, Prognosis, Radiography, Biomarkers, Radiopharmaceuticals, Fluorodeoxyglucose F18, Positron-Emission Tomography, Neuroimaging

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Brain Imaging in Alzheimer Disease

Abstract

Integrity signals

Claims the paper makes

Claims other papers make about this one

Self-check

Cites

Cited by

Related

Record

About these checks