Posterior cingulate cortex in Alzheimer's disease

Distribution of cerebral degeneration in Alzheimer's disease: A clinico-pathological study

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In vivo mapping of cholinergic neurons in the human brain using SPECT and IBVM.

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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

Preclinical Evidence of Alzheimer's Disease in Persons Homozygous for the ε4 Allele for Apolipoprotein E

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Intranasal Insulin Therapy for Alzheimer Disease and Amnestic Mild Cognitive Impairment: A Pilot Clinical Trial

Craft, S. (2012) · Archives of Neurology · doi:10.1001/archneurol.2011.233 · Cited by 1,253 · see citing works

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

The retrosplenial cortex and emotion: new insights from functional neuroimaging of the human brain

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Alzheimer's disease is associated with reduced expression of energy metabolism genes in posterior cingulate neurons

Liang, W. S., Reiman, E. M., Valla, J., Dunckley, T., Beach, T. G., Grover, A., Niedzielko, T. L., Schneider, L. E., Mastroeni, D., Caselli, R., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0709259105 · Cited by 585 · see citing works

Differing patterns of temporal atrophy in Alzheimer's disease and semantic dementia

Galton, C. J., Patterson, K., Graham, K., Lambon-Ralph, M. A., Williams, G., Antoun, N., Sahakian, B. J., & Hodges, J. R. (2001) · Neurology · doi:10.1212/wnl.57.2.216 · Cited by 582 · see citing works

Remembering familiar people: the posterior cingulate cortex and autobiographical memory retrieval

Maddock, R. J., Garrett, A. S., & Buonocore, M. H. (2001) · Neuroscience · doi:10.1016/s0306-4522(01)00108-7 · Cited by 551 · see citing works

The nature and staging of attention dysfunction in early (minimal and mild) Alzheimer’s disease: relationship to episodic and semantic memory impairment

Perry, R. J., Watson, P., & Hodges, J. R. (2000) · Neuropsychologia · doi:10.1016/s0028-3932(99)00079-2 · Cited by 491 · see citing works

The use of PET in Alzheimer disease

Nordberg, A. K., Rinne, J. O., Kadir, A., & Långström, B. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2009.217 · Cited by 451 · see citing works

Meningeal cells can communicate with astrocytes by calcium signaling

Grafstein, B., Liu, S., Cotrina, M. L., Goldman, S. A., & Nedergaard, M. (2000) · Annals of Neurology · doi:10.1002/1531-8249(200001)47:1 · Cited by 50 · see citing works

Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI population

Chris Hinrichs, A., Singh, V., Xu, G., & Johnson, S. C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.10.081 · Cited by 405 · see citing works

Spatial correlation between brain aerobic glycolysis and amyloid-β (Aβ) deposition

Vlassenko, A. G., Vaishnavi, S. N., Couture, L., Sacco, D., Shannon, B. J., Mach, R. H., Morris, J. C., Raichle, M. E., & Mintun, M. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1010461107 · Cited by 404 · see citing works

Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease

Ortíz, A., Munilla, J., Górriz, J. M., & Ramı́rez, J. (2016) · International Journal of Neural Systems · doi:10.1142/s0129065716500258 · Cited by 404 · see citing works

Longitudinal evaluation of early Alzheimer's disease using brain perfusion SPECT.

Kogure, D., Matsuda, H., Ohnishi, T., Asada, T., Uno, M., Kunihiro, T., Nakano, S., & Takasaki, M. (2000) · PubMed · Cited by 367 · see citing works

Aging and Spatial Navigation: What Do We Know and Where Do We Go?

Moffat, S. D. (2009) · Neuropsychology Review · doi:10.1007/s11065-009-9120-3 · Cited by 377 · see citing works

The N-methyl-d-aspartate antagonists phencyclidine, ketamine and dizocilpine as both behavioral and anatomical models of the dementias

Ellison, G. D. (1995) · Brain Research Reviews · doi:10.1016/0165-0173(94)00014-g · Cited by 304 · see citing works

Beyond the hippocampus

Callen, D. J., Black, S. E., Gao, F., Caldwell, C. B., & Szalai, J. P. (2001) · Neurology · doi:10.1212/wnl.57.9.1669 · Cited by 301 · see citing works

Effectiveness and Safety of 18F-FDG PET in the Evaluation of Dementia: A Review of the Recent Literature

Bohnen, N. I., Djang, D., Herholz, K., Anzai, Y., & Minoshima, S. (2011) · Journal of Nuclear Medicine · doi:10.2967/jnumed.111.096578 · Cited by 286 · see citing works

Sources of cortical rhythms change as a function of cognitive impairment in pathological aging: a multicenter study

Babiloni, C., Binetti, G. G., Cassetta, E., Forno, G. D., Percio, C. D., Ferreri, F., Ferri, R., Frisoni, G. B., Hirata, K., Lanuzza, B., et al. (2005) · Clinical Neurophysiology · doi:10.1016/j.clinph.2005.09.019 · Cited by 282 · 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

Regional analysis of FDG and PIB-PET images in normal aging, mild cognitive impairment, and Alzheimer's disease

Li, Y., Rinne, J. O., Mosconi, L., Pirraglia, E., Rusinek, H., DeSanti, S., Kemppainen, N., Någren, K., Kim, B.-C., Tsui, W., et al. (2008) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-008-0833-y · Cited by 278 · see citing works

Age differences in the neural systems supporting human allocentric spatial navigation

Moffat, S. D., Elkins, W., & Resnick, S. M. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.05.011 · Cited by 269 · see citing works

Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study

Fan, Y., Resnick, S. M., Wu, X., & Davatzikos, C. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.02.043 · Cited by 288 · see citing works

Atypical form of Alzheimer's disease with prominent posterior cortical atrophy: A review of lesion distribution and circuit disconnection in cortical visual pathways

Hof, P. R., Vogt, B. A., Bouras, C., & Morrison, J. H. (1997) · Vision Research · doi:10.1016/s0042-6989(96)00240-4 · Cited by 246 · see citing works

Energy Hypometabolism in Posterior Cingulate Cortex of Alzheimer's Patients: Superficial Laminar Cytochrome Oxidase Associated with Disease Duration

Valla, J. E., Berndt, J. D., & Gonzalez-Lima, F. (2001) · Journal of Neuroscience · doi:10.1523/jneurosci.21-13-04923.2001 · Cited by 237 · 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

Cerebral blood flow and metabolic abnormalities in Alzheimer’s disease

Matsuda, H. (2001) · Annals of Nuclear Medicine · doi:10.1007/bf02988596 · Cited by 233 · see citing works

Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset

Chris Hinrichs, A., Singh, V., Mukherjee, L., Xu, G., Chung, M. K., & Johnson, S. C. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.056 · Cited by 226 · see citing works

A phase1 study of stereotactic gene delivery of AAV2-NGF for Alzheimer’s disease

Rafii, M. S., Baumann, T. L., Bakay, R. A. E., Ostrove, J. M., Siffert, J., Fleisher, A. S., Herzog, C. D., Barba, D., Pay, M., Salmon, D. P., et al. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.09.004 · Cited by 223 · see citing works

Retrosplenial cortex (BA 29/30) hypometabolism in mild cognitive impairment (prodromal Alzheimer's disease)

Nestor, P. J., Fryer, T. D., Ikeda, M., & Hodges, J. R. (2003) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2003.02999.x · Cited by 227 · 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

Adeno-Associated Viral Vector (Serotype 2)–Nerve Growth Factor for Patients With Alzheimer Disease: A Randomized Clinical Trial

Rafii, M. S., Tuszynski, M. H., Thomas, R. G., Barba, D., Brewer, J. B., Rissman, R. A., Siffert, J., Aisen, P. S., & for the AAV2-NGF Study Team (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2018.0233 · Cited by 219 · see citing works

The neuropsychology of fear and anxiety: a foundation for Reinforcement Sensitivity Theory

McNaughton, N., & Corr, P. J. (2008) · Cambridge University Press eBooks · doi:10.1017/cbo9780511819384.003 · Cited by 215 · see citing works

Cerebral Glucose Metabolic Features of Parkinson Disease and Incident Dementia: Longitudinal Study

Bohnen, N. I., Koeppe, R. A., Minoshima, S., Giordani, B., Albin, R. L., Frey, K. A., & Kuhl, D. E. (2011) · Journal of Nuclear Medicine · doi:10.2967/jnumed.111.089946 · Cited by 214 · see citing works

A critical discussion of the role of neuroimaging in mild cognitive impairment*

Wolf, H., Jelić, V., Gertz, H., Nordberg, A. K., Julin, P., & Wahlund, L. (2003) · Acta Neurologica Scandinavica · doi:10.1034/j.1600-0404.107.s179.10.x · Cited by 211 · see citing works

Statistical brain mapping of 18F-FDG PET in Alzheimer's disease: validation of anatomic standardization for atrophied brains.

Ishii, K., Willoch, F., Minoshima, S., Drzezga, A. E., Ficaro, E. P., Cross, D. J., Kuhl, D. E., & Schwaiger, M. (2001) · PubMed · Cited by 206 · see citing works

Saccade Reward Signals in Posterior Cingulate Cortex

McCoy, A. N., Crowley, J. C., Haghighian, G., Dean, H. L., & Platt, M. L. (2003) · Neuron · doi:10.1016/s0896-6273(03)00719-0 · Cited by 193 · see citing works

Voxel-based morphometric comparison between early- and late-onset mild Alzheimer's disease and assessment of diagnostic performance of z score images.

Ishii, K., Kawachi, T., Sasaki, H., Kono, A. K., Fukuda, T., KOJIMA, Y., & Mori, E. (2005) · PubMed Central · Cited by 192 · see citing works

Mining the posterior cingulate: Segregation between memory and pain components

Nielsen, F. Å., Balslev, D., & Hansen, L. K. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.04.034 · Cited by 185 · see citing works

Cerebral cortex pathology in aging and Alzheimer's disease: a quantitative survey of large hospital-based geriatric and psychiatric cohorts

Giannakopoulos, P., Hof, P. R., Michel, J., Guimón, J., & Bouras, C. (1997) · Brain Research Reviews · doi:10.1016/s0165-0173(97)00023-4 · Cited by 173 · see citing works

18 F-FDG PET Imaging in Neurodegenerative Dementing Disorders: Insights into Subtype Classification, Emerging Disease Categories, and Mixed Dementia with Copathologies

Minoshima, S., Cross, D. J., Thientunyakit, T., Foster, N. L., & Drzezga, A. E. (2022) · Journal of Nuclear Medicine · doi:10.2967/jnumed.121.263194 · Cited by 179 · 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

Development of quantitative analysis method for stereotactic brain image: Assessment of reduced accumulation in extent and severity using anatomical segmentation

Mizumura, S., Kumita, S., Cho, K., Ishihara, M., Nakajo, H., Toba, M., & Kumazaki, T. (2003) · Annals of Nuclear Medicine · doi:10.1007/bf02988523 · Cited by 162 · see citing works

Impaired platelet mitochondrial activity in Alzheimer's disease and mild cognitive impairment

Valla, J., Schneider, L., Niedzielko, T., Coon, K. D., Caselli, R., Sabbagh, M. N., Ahern, G. L., Baxter, L., Alexander, G., Walker, D. G., et al. (2006) · Mitochondrion · doi:10.1016/j.mito.2006.10.004 · Cited by 159 · see citing works

Longitudinal evaluation of both morphologic and functional changes in the same individuals with Alzheimer's disease.

Matsuda, H., Kitayama, N., Ohnishi, T., Asada, T., Nakano, S., Sakamoto, S., Imabayashi, E., & Katoh, A. (2002) · PubMed · Cited by 158 · see citing works

Effects of pioglitazone on glucose and lipid metabolism in normal and insulin resistant animals.

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Automated discrimination between very early Alzheimer disease and controls using an easy Z-score imaging system for multicenter brain perfusion single-photon emission tomography.

Matsuda, H., Mizumura, S., Nagao, T., Ota, T., Iizuka, T., Nemoto, K., Takemura, N., Arai, H., & Homma, A. (2007) · PubMed Central · Cited by 153 · see citing works

Reduced Posterior Cingulate Mitochondrial Activity in Expired Young Adult Carriers of the APOE ε4 Allele, the Major Late-Onset Alzheimer's Susceptibility Gene

Valla, J., Yaari, R., Wolf, A. B., Kusne, Y., Beach, T. G., Roher, A. E., Corneveaux, J. J., Huentelman, M. J., Caselli, R. J., & Reiman, E. M. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-100129 · Cited by 150 · see citing works

'In the course of time': a PET study of the cerebral substrates of autobiographical amnesia in Alzheimer's disease

Eustache, F., Piolino, P., Giffard, B., Viader, F., Sayette, V. D. L., Baron, J., & Desgranges, B. (2004) · Brain · doi:10.1093/brain/awh166 · Cited by 147 · see citing works

18F-FDG PET imaging analysis for computer aided Alzheimer’s diagnosis

Illán, I. A., Górriz, J. M., Ramı́rez, J., Salas-Gonzalez, D., López, M., Segovia, F., Chaves, R., Gómez-Río, M. M., & Puntonet, C. G. (2010) · Information Sciences · doi:10.1016/j.ins.2010.10.027 · Cited by 143 · see citing works

Differences in cerebral metabolic impairment between early and late onset types of Alzheimer's disease

Sakamoto, S., Ishii, K., Sasaki, M., Hosaka, K., Mori, T., Matsui, M., Hirono, N., & Mori, E. (2002) · Journal of the Neurological Sciences · doi:10.1016/s0022-510x(02)00114-4 · Cited by 139 · see citing works

The neural correlates of consciousness: an analysis of cognitive skill learning

The American Association for Research into Nervous and Mental Diseases, & Raichle, M. E. (1998) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.1998.0341 · Cited by 130 · see citing works

Relationship between regional cerebral metabolism and consciousness disturbance in traumatic diffuse brain injury without large focal lesions: an FDG-PET study with statistical parametric mapping analysis

Nakayama, N. (2006) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2005.080523 · Cited by 124 · see citing works

Autonoetic consciousness in Alzheimer's disease: Neuropsychological and PET findings using an episodic learning and recognition task

Rauchs, G., Piolino, P., Mézenge, F., Landeau, B., Lalevée, C., Pèlerin, A., Viader, F., Sayette, V. D. L., Eustache, F., & Desgranges, B. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.06.005 · Cited by 119 · see citing works

Correlations Between Apolipoprotein E ε4 Gene Dose and Whole Brain Atrophy Rates

Chen, K., Reiman, E. M., Alexander, G. E., Caselli, R. J., Gerkin, R. D., Bandy, D. J., Domb, A., Osborne, D., Fox, N. C., Crum, W. R., et al. (2007) · American Journal of Psychiatry · doi:10.1176/ajp.2007.164.6.916 · Cited by 118 · see citing works

iTRAQ Analysis of Complex Proteome Alterations in 3xTgAD Alzheimer's Mice: Understanding the Interface between Physiology and Disease

Martin, B., Brenneman, R., Becker, K. G., Guček, M., Cole, R. N., & Maudsley, S. R. (2008) · PLoS ONE · doi:10.1371/journal.pone.0002750 · Cited by 113 · see citing works

EPS Mid-Career Award 2006: Understanding anterograde amnesia: Disconnections and hidden lesions

Aggleton, J. P. (2008) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470210802215335 · Cited by 112 · see citing works

Three-dimensional display in staging hemodynamic brain ischemia for JET study: Objective evaluation using SEE analysis and 3D-SSP display

Mizumura, S., Nakagawara, J., Takahashi, M., Kumita, S., Cho, K., Nakajo, H., Toba, M., & Kumazaki, T. (2004) · Annals of Nuclear Medicine · doi:10.1007/bf02985609 · Cited by 109 · see citing works

The role of neuroimaging in mild cognitive impairment

Matsuda, H. (2007) · Neuropathology · doi:10.1111/j.1440-1789.2007.00794.x · Cited by 108 · see citing works

The Cerebral Response during Subjective Choice with and without Self-reference

Johnson, S. C., Schmitz, T. W., Kawahara, T. N., Rowley, H. A., Alexander, A. L., Lee, J., & Davidson, R. J. (2005) · Journal of Cognitive Neuroscience · doi:10.1162/089892905775008607 · Cited by 105 · see citing works

Altered deactivation in individuals with genetic risk for Alzheimer's disease

Persson, J., Lind, J., Larsson, A., Ingvar, M., Sleegers, K., Van Broeckhoven, C., Adolfsson, R., Nilsson, L.-G., & Nyberg, L. (2008) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2008.01.026 · Cited by 102 · see citing works

In Vivo Mitochondrial and Glycolytic Impairments in Patients with Alzheimer Disease

Terada, T., Obi, T., Bunai, T., Matsudaira, T., Yoshikawa, E., Ando, I., Futatsubashi, M., Tsukada, H., & Ouchi, Y. (2020) · Neurology · doi:10.1212/wnl.0000000000009249 · Cited by 103 · see citing works

Perfusion abnormalities in prodromal AD

Johnson, K. A., & Albert, M. (2000) · Neurobiology of Aging · doi:10.1016/s0197-4580(00)00137-8 · Cited by 101 · see citing works

Preclinical Evidence of Alzheimer Changes

Petrie, E. C., Cross, D. J., Galasko, D. R., Schellenberg, G. D., Raskind, M. A., Peskind, E. R., & Minoshima, S. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.59 · Cited by 101 · see citing works

Mild traumatic brain injury is associated with reduced cortical thickness in those at risk for Alzheimer’s disease

Hayes, J. P., Logue, M. W., Sadeh, N., Spielberg, J. M., Verfaellie, M. H., Hayes, S. M., Reagan, A., Salat, D. H., Wolf, E. J., McGlinchey, R. E., et al. (2017) · Brain · doi:10.1093/brain/aww344 · Cited by 98 · see citing works

Regional cerebral glucose uptake in the 3xTG model of Alzheimer's disease highlights common regional vulnerability across AD mouse models

Nicholson, R. M., Kusne, Y., Nowak, L. A., LaFerla, F. M., Reiman, E. M., & Valla, J. (2010) · Brain Research · doi:10.1016/j.brainres.2010.05.084 · Cited by 107 · see citing works

Demonstration of decreased posterior cingulate perfusion in mild Alzheimer's disease by means of H 2 15 O positron emission tomography

Ishii, K., Sasaki, M., Yamaji, S., Sakamoto, S., Kitagaki, H., & Mori, E. (1997) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/bf00841407 · Cited by 95 · see citing works

Cerebral Hypoperfusion and Hypometabolism Detected by Arterial Spin Labeling MRI and FDG‐PET in Early‐Onset Alzheimer's Disease

Verclytte, S., Lopes, R., Lenfant, P., Rollin, A., Semah, F., Leclerc, X., Pasquier, F., & Delmaire, C. (2015) · Journal of Neuroimaging · doi:10.1111/jon.12264 · Cited by 93 · see citing works

EEG recording during fMRI experiments: Image quality

Krakow, K., Allen, P. J., Symms, M. R., Lemieux, L., Josephs, O., & Fish, D. R. (2000) · Human Brain Mapping · doi:10.1002/(sici)1097-0193(200005)10:1 · Cited by 149 · see citing works

Superiority of 3-dimensional stereotactic surface projection analysis over visual inspection in discrimination of patients with very early Alzheimer's disease from controls using brain perfusion SPECT.

Imabayashi, E., Matsuda, H., Asada, T., Ohnishi, T., Sakamoto, S., Nakano, S., & Inoue, T. (2004) · PubMed · Cited by 89 · see citing works

Brain [F-18]FDG PET for Clinical Dementia Workup: Differential Diagnosis of Alzheimer's Disease and Other Types of Dementing Disorders

Minoshima, S., Mosci, K., Cross, D. J., & Thientunyakit, T. (2021) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2021.01.002 · Cited by 88 · see citing works

Neural substrates participating in acquisition of facial familiarity: an fMRI study

Kosaka, H., Omori, M., Iidaka, T., Murata, T., Shimoyama, T., Okada, T., Sadato, N., Yonekura, Y., & Wada, Y. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00447-6 · Cited by 88 · see citing works

Comparison of gray matter and metabolic reduction in mild Alzheimer’s disease using FDG-PET and voxel-based morphometric MR studies

Ishii, K., Sasaki, H., Kono, A. K., Miyamoto, N., Fukuda, T., & Mori, E. (2005) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-004-1740-5 · Cited by 88 · see citing works

Detecting hippocampal hypometabolism in Mild Cognitive Impairment using automatic voxel-based approaches

Mevel, K., Desgranges, B., Baron, J., Landeau, B., Sayette, V. D. L., Viader, F., Eustache, F., & Chételat, G. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.04.048 · Cited by 87 · see citing works

Age-related changes in cerebral blood flow and glucose metabolism in conscious rhesus monkeys

Noda, A., Ohba, H., Kakiuchi, T., Futatsubashi, M., Tsukada, H., & Nishimura, S. (2002) · Brain Research · doi:10.1016/s0006-8993(02)02558-1 · Cited by 88 · see citing works

MK-801 neurotoxicity in male mice: histologic effects and chronic impairment in spatial learning

Wozniak, D. F., Brosnan-Watters, G., Nardi, A. M. D., McEwen, M. L., Corso, T. D., Olney, J. W., & Fix, A. S. (1996) · Brain Research · doi:10.1016/0006-8993(95)01230-3 · Cited by 87 · see citing works

Looking beyond the hippocampus: old and new neurological targets for understanding memory disorders

Aggleton, J. P. (2014) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2014.0565 · Cited by 86 · see citing works

Comparison of [ 11 C]UCB-J and [ 18 F]FDG PET in Alzheimer’s disease: A tracer kinetic modeling study

Chen, M.-K., Mecca, A. P., Naganawa, M., Gallezot, J., Toyonaga, T., Mondal, J., Finnema, S. J., Lin, S.-F., O’Dell, R. S., McDonald, J. W., et al. (2021) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x211004312 · Cited by 80 · see citing works

APOE and neuroenergetics: an emerging paradigm in Alzheimer's disease

Wolf, A. B., Caselli, R. J., Reiman, E. M., & Valla, J. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.10.011 · Cited by 79 · see citing works

Focal brain glucose hypometabolism in patients with neuropsychologic deficits after diffuse axonal injury.

Nakashima, T., Nakayama, N., Miwa, K., Okumura, A., Soeda, A., & Iwama, T. (2007) · PubMed Central · Cited by 78 · see citing works

Neural substrates of cognitive and behavioral deficits in atypical Alzheimer's disease

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An easy Z-score imaging system for discrimination between very early Alzheimer??s disease and controls using brain perfusion SPECT in a multicentre study

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