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Mapping local hippocampal changes in Alzheimer's disease and normal ageing with MRI at 3 Tesla
Abstract
Histological studies have suggested differing involvement of the hippocampal subfields in ageing and in Alzheimer's disease. The aim of this study was to assess in vivo local hippocampal changes in ageing and Alzheimer's disease based on high resolution MRI at 3 Tesla. T(1)-weighted images were acquired from 19 Alzheimer's disease patients [age 76 +/- 6 years, three males, Mini-Mental State Examination 13 +/- 4] and 19 controls (age 74 +/- 5 years, 11 males, Mini-Mental State Examination 29 +/- 1). The hippocampal formation was isolated by manual tracing. Radial atrophy mapping was used to assess group differences and correlations by averaging hippocampal shapes across subjects using 3D parametric surface mesh models. Percentage difference, Pearson's r, and significance maps were produced. Hippocampal volumes were inversely correlated with age in older healthy controls (r = 0.56 and 0.6 to the right and left, respectively, P < 0.05, corresponding to 14% lower volume for every 10 years of older age from ages 65 to 85 years). Ageing-associated atrophy mapped to medial and lateral areas of the tail and body corresponding to the CA1 subfield and ventral areas of the head corresponding to the presubiculum. Significantly increased volume with older age mapped to a few small spots mainly located to the CA1 sector of the right hippocampus. Volumes were 35% and 30% smaller in Alzheimer's disease patients to the right and left (P < 0.0005). Alzheimer's disease-associated atrophy mapped not only to CA1 areas of the body and tail corresponding to those also associated with age, but also to dorsal CA1 areas of the head unaffected by age. Regions corresponding to the CA2-3 fields were relatively spared in both ageing and Alzheimer's disease. Hippocampal atrophy in Alzheimer's disease maps to areas in the body and tail that partly overlap those affected by normal ageing. Specific areas in the anterior and dorsal CA1 subfield involved in Alzheimer's disease were not in normal ageing. These patterns might relate to differential neural systems involved in Alzheimer's disease and ageing.
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“the CA1 subfield was found significantly atrophic in a study that used the same automated method as ours and included patients with similar dementia severity [33] and in studies that used a procedure involving manual segmentation of hippocampal subfields [34], [35] or based on 3D surface reconstruction and shape analysis of the hippocampi [36], [37]”
From Atrophy of presubiculum and subiculum is the earliest hippocampal anatomical marker of Alzheimer's disease (2015) · cites this paper as [36]
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Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
American Journal of Neuroradiology
(2020) · American Journal of Neuroradiology · doi:10.3174/ajnr · Cited by 2,468
Alzheimer's disease: cell-specific pathology isolates the hippocampal formation.
Hyman, B. T., Van Hoesen, G. W., Damasio, A. R., & Barnes, C. L. (1984) · Science · doi:10.1126/science.6474172 · Cited by 2,268
Edgington, E. S., Edgington, E., & Onghena, P. (1964) · Springer eBooks · doi:10.1002/0471667196.ess2169 · Cited by 2,052
Pathological verification of ischemic score in differentiation of dementias
Rosen, W. G., Terry, R. D., Fuld, P. A., Katzman, R., & Peck, A. (1980) · Annals of Neurology · doi:10.1002/ana.410070516 · Cited by 1,273
Unbiased stereological estimation of the number of neurons in the human hippocampus
West, M. J., & Gundersen, H. J. G. (1990) · Journal of Comparative Neurology · doi:10.1002/cne.902960102 · Cited by 1,153 · cited 3×
“For example, pyramidal cells are lost in the subiculum between age 30 and 60 years (Trillo and Gonzalo, 1992), but stabilize thereafter (West and Gundersen, 1990; Trillo and Gonzalo, 1992), while cell loss in the presubiculum and CA1 subfield is more linearly associated with increasing age at least…”
BackgroundDynamics of Gray Matter Loss in Alzheimer's Disease
Thompson, P. M., Hayashi, K. M., de Zubicaray, G., Janke, A. L., Rose, S. E., Semple, J., Herman, D., Hong, M. S., Dittmer, S. S., Doddrell, D. M., et al. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-03-00994.2003 · Cited by 1,132
Self-citation4 Histology and Histopathology
(2015) · Thieme eBooks · doi:10.1055/b-0035-108581 · Cited by 1,052
MR‐based hippocampal volumetry in the diagnosis of Alzheimer's disease
Jack, C. R., Petersen, R. C., O’Brien, P. C., & Tangalos, E. G. (1992) · Neurology · doi:10.1212/wnl.42.1.183 · Cited by 880
Research works printed but not linked: 4
- Frisoni, 1996, American Journal of Neuroradiology, 17, 913
- Frisoni, 2002, American Journal of Neuroradiology, 23, 35
- 1996, Medline Rows With NULL issns Will Point To This, 3, 19
- Trillo, 1992, Histology and histopathology, 7, 17
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Iglesias, J. E., Augustinack, J. C., Nguyen, K., Player, C. M., Player, A., Wright, M., Roy, N., Frosch, M. P., McKee, A. C., Wald, L. L., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.04.042 · Cited by 1,267
Murray, M. E., Graff-Radford, N. R., Ross, O. A., Petersen, R. C., Duara, R., & Dickson, D. W. (2011) · The Lancet Neurology · doi:10.1016/s1474-4422(11)70156-9 · Cited by 972
Brain atrophy in Alzheimer’s Disease and aging
Pini, L., Pievani, M., Bocchetta, M., Altomare, D., Bosco, P., Cavedo, E., Galluzzi, S., Marizzoni, M., & Frisoni, G. B. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.01.002 · Cited by 836
Self-citationEwers, M., Walsh, C., Trojanowski, J. Q., Shaw, L. M. J., Petersen, R. C., Jack, C. R., Feldman, H., Bokde, A. L. W., Alexander, G. E., Scheltens, P., et al. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.10.019 · Cited by 421
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de Florès, R., Joie, R. L., & Chételat, G. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.08.033 · Cited by 387
Apostolova, L. G., Green, A. E., Babakchanian, S., Hwang, K., Chou, Y., Toga, A. W., & Thompson, P. M. (2011) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e3182163b62 · Cited by 363
Self-citationLongitudinal association between hippocampus atrophy and episodic-memory decline
Gorbach, T., Pudas, S., Lundquist, A., Orädd, G., Josefsson, M., Salami, A., de Luna, X., & Nyberg, L. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.12.002 · Cited by 245
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Kerchner, G. A., Hess, C. P., Hammond-Rosenbluth, K. E., Xu, D., Rabinovici, G. D., Kelley, D. A. C., Vigneron, D. B., Nelson, S. J., & Miller, B. L. (2010) · Neurology · doi:10.1212/wnl.0b013e3181f736a1 · Cited by 193
Jovicich, J., Marizzoni, M., Sala‐Llonch, R., Bosch, B., Bartrés‐Faz, D., Arnold, J., Benninghoff, J., Wiltfang, J., Roccatagliata, L., Nobili, F. M., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.007 · Cited by 181
Self-citationJoie, R. L., Fouquet, M., Mézenge, F., Landeau, B., Villain, N., Mevel, K., Pèlerin, A., Eustache, F., Desgranges, B., & Chételat, G. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.024 · Cited by 179
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Initiative, T. A. D. N., Suk, H., Lee, S., & Shen, D. G. (2015) · Brain Structure and Function · doi:10.1007/s00429-015-1059-y · Cited by 164
Carlesimo, G. A., Piras, F., Orfei, M. D., Iorio, M., Caltagirone, C., & Spalletta, G. (2015) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2014.12.001 · Cited by 159
Self-citationZhao, W., Wang, X., Yin, C., He, M., Li, S., & Han, Y. (2019) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2019.00013 · Cited by 145
Maruszak, A., & Thuret, S. (2014) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2014.00095 · Cited by 147
Dimitriadis, S. I., Liparas, D., & Tsolaki, M. (2017) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2017.12.010 · Cited by 142
Effects of age and Alzheimer's disease on hippocampal subfields
de Florès, R., Joie, R. L., Landeau, B., Perrotin, A., Mézenge, F., Sayette, V. D. L., Eustache, F., Desgranges, B., & Chételat, G. (2014) · Human Brain Mapping · doi:10.1002/hbm.22640 · Cited by 149
Boccardi, M., Ganzola, R., Bocchetta, M., Pievani, M., Redolfi, A., Bartzokis, G., Camicioli, R. M., Csernansky, J. G., de Leon, M. J., deToledo‐Morrell, L., et al. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-0004 · Cited by 144
Self-citationSub-regional hippocampal injury is associated with fornix degeneration in Alzheimer’s disease.
Lee, D. Y., Fletcher, E., Carmichael, O. T., Singh, B., Mungas, D., Reed, B., Martinez, O., Buonocore, M. H., Persianinova, M., & DeCarli, C. (2012) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2012.00001 · Cited by 137
APOE4 is associated with greater atrophy of the hippocampal formation in Alzheimer's disease
Pievani, M., Galluzzi, S., Thompson, P. M., Rasser, P. E., Bonetti, M., & Frisoni, G. B. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.081 · Cited by 134
Self-citationHippocampal Subfield Volumetry and 3D Surface Mapping in Subjective Cognitive Decline
Perrotin, A., de Flores, R., Lamberton, F., Poisnel, G., La Joie, R., de la Sayette, V., Mézenge, F., Tomadesso, C., Landeau, B., Desgranges, B., et al. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-150087 · Cited by 119
Ansari, A., Maffioletti, E., Milanesi, E., Marizzoni, M., Frisoni, G. B., Blin, O., Richardson, J. C., Bordet, R., Forloni, G., Gennarelli, M., et al. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.06.005 · Cited by 116
Self-citationMild Cognitive Impairment: Differential Atrophy in the Hippocampal Subfields
Hanseeuw, B. J., Van Leemput, K., Kavec, M., Grandin, C., Seron, X., & Ivanoiu, A. (2011) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2589 · Cited by 110
Inflammation and the developing brain: Consequences for hippocampal neurogenesis and behavior
Green, H. F., & Nolan, Y. M. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.01.004 · Cited by 118
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Pierrick Coupé, A., Eskildsen, S. F., Manjón, J. V., Fonov, V., Pruessner, J. C., Michèle Allard, A., & Collins, D. L. (2012) · NeuroImage Clinical · doi:10.1016/j.nicl.2012.10.002 · Cited by 109
Goemaere, J., & Knoops, B. (2011) · The Journal of Comparative Neurology · doi:10.1002/cne.22689 · Cited by 112
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Lindberg, O., Walterfang, M., Looi, J. C. L., Malykhin, N., Östberg, P., Zandbelt, B., Styner, M., Paniagua, B., Velakoulis, D., Örndahl, E., et al. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-112210 · Cited by 103
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Frankó, E., Joly, O., & Initiative, A. D. N. (2013) · PLoS ONE · doi:10.1371/journal.pone.0071354 · Cited by 98
Shen, K., Fripp, J., Mériaudeau, F., Chételat, G., Salvado, O., & Bourgeat, P. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.014 · Cited by 100
Cho, H., Kim, J. H., Kim, C., Ye, B. S., Kim, H. J., Yoon, C. W., Noh, Y., Kim, G. H., Kim, Y. J., Kim, J., et al. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-132072 · Cited by 96
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Zierhut, K. C., Graßmann, R., Kaufmann, J., Steiner, J. H., Bogerts, B., & Schiltz, K. (2013) · Brain · doi:10.1093/brain/aws335 · Cited by 98
Subcortical structures in amyotrophic lateral sclerosis
Westeneng, H., Verstraete, E., Walhout, R., Schmidt, R., Hendrikse, J., Veldink, J. H., van den Heuvel, M. P., & van den Berg, L. H. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.09.002 · Cited by 96
Boutet, C., Marie Chupin, A., Lehéricy, S., Marrakchi‐Kacem, L., Epelbaum, S., Poupon, C., Wiggins, C. J., Vignaud, A., Hasboun, D., Defontaines, B., et al. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.07.011 · Cited by 96
Spatial navigation—a unique window into physiological and pathological aging
Gažová, I., Vlček, K., Laczó, J., Nedelská, Z., Hynčicová, E., Mokrišová, I., Sheardová, K., & Hort, J. (2012) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2012.00016 · Cited by 99
Local amygdala structural differences with 3T MRI in patients with Alzheimer disease
Cavedo, E., Boccardi, M., Ganzola, R., Canu, E., Beltramello, A., Caltagirone, C., Thompson, P. M., & Frisoni, G. B. (2011) · Neurology · doi:10.1212/wnl.0b013e31820d62d9 · Cited by 91
Self-citationHippocampal mean diffusivity and memory in healthy elderly individuals
Carlesimo, G. A., Cherubini, A., Caltagirone, C., & Spalletta, G. (2010) · Neurology · doi:10.1212/wnl.0b013e3181cb3e39 · Cited by 86
Self-citationClark, J. K., Furgerson, M., Crystal, J. D., Fechheimer, M., Furukawa, R., & Wagner, J. J. (2015) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2015.09.003 · Cited by 92
Regional vulnerability of hippocampal subfields to aging measured by structural and diffusion MRI
Pereira, J. B., Valls‐Pedret, C., Ros, E., Palacios, E. M., Falcón, C., Bargalló, N., Bartrés‐Faz, D., Wahlund, L., Westman, E., & Junqué, C. (2013) · Hippocampus · doi:10.1002/hipo.22234 · Cited by 81
Amaral, R. S. C., Park, M. T. M., Devenyi, G. A., Lynn, V., Pipitone, J., Winterburn, J. L., Chavez, S., Schira, M. M., Lobaugh, N. J., Voineskos, A. N., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.10.027 · Cited by 82
Rajah, M. N., Kromas, M., Han, J. E., & Pruessner, J. C. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.10.010 · Cited by 89
Apostolova, L. G., Zarow, C., Biado, K., Hurtz, S., Boccardi, M., Somme, J. H., Honarpisheh, H., Blanken, A. E., Brook, J. K., Tung, S., et al. (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.01.001 · Cited by 77
Self-citationHumphries, C., Kohli, M. A., Nathanson, L., Whitehead, P. L., Beecham, G. W., Martin, E. R., Mash, D. C., Pericak‐Vance, M. A., & Gilbert, J. R. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-141989 · Cited by 78
Chow, N., Hwang, K. S., Hurtz, S., Green, A. E., Somme, J. H., Thompson, P. M., Elashoff, D. A., Jack, C. R., Weiner, M. W., & Apostolova, L. G. (2015) · American Journal of Neuroradiology · doi:10.3174/ajnr.a4228 · Cited by 76
Self-citationMoretti, D. V. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00031 · Cited by 79
Frey, A., Homola, G. A., Henneges, C., Mühlbauer, L., Sell, R., Kraft, P., Franke, M., Morbach, C., Vogt, M., Müllges, W., et al. (2021) · European Heart Journal · doi:10.1093/eurheartj/ehab003 · Cited by 70
PDE9A inhibition rescues amyloid beta-induced deficits in synaptic plasticity and cognition
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Tang, X., Qin, Y., Wu, J., Zhang, M., Zhu, W., & Miller, M. I. (2016) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2016.05.001 · Cited by 64
Arrigo, A., Mormina, E., Anastasi, G., Gaeta, M., Calamuneri, A., Quartarone, A., Salvo, S. D., Bruschetta, D., Rizzo, G., Trimarchi, F., et al. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00987 · Cited by 65
H ippocampal subfields at ultra high field MRI: A n overview of segmentation and measurement methods
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Vijayakumar, A., & Vijayakumar, A. (2012) · ISRN Radiology · doi:10.5402/2013/174524 · Cited by 63
Hampstead, B. M., Stringer, A. Y., Stilla, R. F., Amaraneni, A., & Sathian, K. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.04.008 · Cited by 64
Kälin, A. M., Park, M. T. M., Chakravarty, M. M., Lerch, J. P., Michels, L., Schroeder, C., Broicher, S. D., Kollias, S., Nitsch, R. M., Gietl, A. F., et al. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00038 · Cited by 64
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Huang, C., Thompson, P. M., Wang, Y., Yu, Y., Zhang, J., Kong, D., Colen, R. R., Knickmeyer, R. C., & Hongtu Zhu, B. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.030 · Cited by 59
Self-citationPlanche, V., Koubiyr, I., Romero, J. E., Manjón, J. V., Pierrick Coupé, A., Deloire, M., Dousset, V., Brochet, B., Ruet, A., & Tourdias, T. (2018) · Human Brain Mapping · doi:10.1002/hbm.23970 · Cited by 57
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Jeon, S., Kang, J. M., Seo, S., Jeong, H. J., Funck, T., Lee, S., Park, K. H., Lee, Y., Yeon, B. K., Ido, T., et al. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00211 · Cited by 59
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Mandal, P. K., Goel, A., Bush, A. I., Punjabi, K., Joon, S., Mishra, R., Tripathi, M., Garg, A., Kumar, N. K., Sharma, P., et al. (2022) · Brain Communications · doi:10.1093/braincomms/fcac215 · Cited by 61
Spalletta, G., Piras, F., Piras, F., Sancesario, G., Iorio, M., Fratangeli, C., Cacciari, C., Caltagirone, C., & Orfei, M. D. (2014) · Cortex · doi:10.1016/j.cortex.2014.10.010 · Cited by 61
Self-citationMoretti, D. V., Prestia, A., Fracassi, C., Binetti, G. G., Zanetti, O. O., & Frisoni, G. B. (2012) · International Journal of Alzheimer s Disease · doi:10.1155/2012/253153 · Cited by 59
Self-citationMoretti, D. V., Paternicò, D., Binetti, G. G., Zanetti, O. O., & Frisoni, G. B. (2013) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2013.00063 · Cited by 58
Self-citationMoretti, D. V., Paternicò, D., Binetti, G. G., Zanetti, O. O., & Frisoni, G. B. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.086 · Cited by 55
Self-citationHrybouski, S., MacGillivray, M., Huang, Y., Madan, C. R., Carter, R., Seres, P., & Malykhin, N. V. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.01.061 · Cited by 56
Aulston, B. D., Liu, Q., Mante, M., Florio, J. B., Rissman, R. A., & Yuan, S. H. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190656 · Cited by 55
Carmichael, O. T., Xie, J., Fletcher, E. M., Singh, B., & DeCarli, C. S. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.08.016 · Cited by 56
DAFT: A universal module to interweave tabular data and 3D images in CNNs
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Hsu, P. J., Shou, H., Benzinger, T. L. S., Marcus, D., Durbin, T. J., Morris, J. C., & Sheline, Y. I. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-141743 · Cited by 53
Lee, P., Ryoo, H., Park, J., Jeong, Y., & Initiative, A. D. N. (2017) · Journal of Clinical Neurology · doi:10.3988/jcn.2017.13.2.144 · Cited by 52
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Izzo, J., Andreassen, O. A., Westlye, L. T., & van der Meer, D. (2019) · Brain Research · doi:10.1016/j.brainres.2019.146591 · Cited by 50
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Salvatore, C., Castiglioni, I., & Cerasa, A. (2019) · Aging Clinical and Experimental Research · doi:10.1007/s40520-019-01299-z · Cited by 50
Chawla, M. K., Sutherland, V. L., Olson, K., McNaughton, B. L., & Barnes, C. A. (2018) · Hippocampus · doi:10.1002/hipo.22820 · Cited by 49
Wolf, D. G. F., Fischer, F. U., de Florès, R., Chételat, G., & Fellgiebel, A. (2015) · Human Brain Mapping · doi:10.1002/hbm.22880 · Cited by 45
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Kim, G. H., Lee, J., Seo, S. W., Kim, J. H., Seong, J., Ye, B. S., Cho, H., Noh, Y., Kim, H. J., Yoon, C. W., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.08.009 · Cited by 48
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Ferrell, D., & Giunta, B. N. (2014) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-014-1702-4 · Cited by 47
Du, L., Liu, K., Yao, X., Risacher, S., Han, J.-W., Saykin, A., Guo, L., & Shen, L. (2019) · IEEE/ACM Transactions on Computational Biology & Bioinformatics · doi:10.1109/tcbb.2019.2947428 · Cited by 44
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Badhwar, A., Lerch, J. P., Hamel, É., & Sled, J. G. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.08.017 · Cited by 50
F-box Only Protein 2 (Fbxo2) Regulates Amyloid Precursor Protein Levels and Processing
Atkin, G., Hunt, J. F. V., Minakawa, E. N., Sharkey, L. M., Tipper, N., Tennant, W., & Paulson, H. L. (2014) · Journal of Biological Chemistry · doi:10.1074/jbc.m113.515056 · Cited by 44
Quattrini, G., Pievani, M., Jovicich, J., Aiello, M., Bargalló, N., Barkhof, F., Bartrés‐Faz, D., Beltramello, A., Pizzini, F. B., Blin, O., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116932 · Cited by 44
Self-citationFunctional connectivity of the posterior hippocampus is more dominant as we age
Blum, S., Habeck, C. G., Steffener, J., Razlighi, Q. R., & Stern, Y. (2014) · Cognitive Neuroscience · doi:10.1080/17588928.2014.975680 · Cited by 46
Li, Y.-D., Dong, H.-B., Xie, G.-M., & Zhang, L.-J. (2013) · American Journal of Alzheimer's Disease & Other Dementias® · doi:10.1177/1533317513494452 · Cited by 42
Boccardi, V., Westman, E., Pelini, L., Lindberg, O. E., Muehlboeck, J., Simmons, A., Tarducci, R., Floridi, P., Chiarini, P., Soininen, H. S., et al. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00439 · Cited by 42
Nadal, L., Pierrick Coupé, A., Helmer, C., Manjón, J. V., Amieva, H., Tison, F., Dartigues, J., Catheline, G., & Planche, V. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.01.011 · Cited by 41
Syková, E. (2009) · Cited by 41
Hippocampal subfield volumes across the healthy lifespan and the effects of MR sequence on estimates
Bussy, A., Plitman, E., Patel, R., Tullo, S., Salaciak, A., Bedford, S. A., Farzin, S., Béland, M., Valiquette, V., Kazazian, C., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117931 · Cited by 43
Cabinio, M., Saresella, M., Piancone, F., LaRosa, F., Marventano, I., Guerini, F. R., Nemni, R., Baglio, F., & Clerici, M. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180250 · Cited by 39
Oyeleke, M. B., & Owoyele, B. V. (2022) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2022.114997 · Cited by 38
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Rocca, M. A., Morelli, M. E., Amato, M. P., Moiola, L., Ghezzi, A., Veggiotti, P., Capra, R., Pagani, E., Portaccio, E., Fiorino, A., et al. (2015) · Multiple Sclerosis Journal · doi:10.1177/1352458515598569 · Cited by 39
Marizzoni, M., Antelmi, L., Bosch, B., David Bartrés-faz, A., Müller, B. W., Wiltfang, J., Fiedler, U., Roccatagliata, L., Picco, A., Nobili, F. M., et al. (2015) · Human Brain Mapping · doi:10.1002/hbm.22859 · Cited by 36
Self-citationBiological basis for amyloidogenesis in Alzheimer’S disease
Андреева, Т. В., Lukiw, W. J., & Rogaev, E. I. (2017) · Biochemistry (Moscow) · doi:10.1134/s0006297917020043 · Cited by 38
Ye, B. S., Seo, S. W., Kim, C. H., Jeon, S., Kim, G. H., Noh, Y., Cho, H., Yoon, C. W., Kim, H. J., Jang, E. Y., et al. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.08.017 · Cited by 36
Hippocampal atrophy in people with memory deficits: results from the population-based IPREA study
Ferrarini, L., van Lew, B., Reiber, J. H. C., Gandin, C., Galluzzo, L., Scafato, E., Frisoni, G. B., Milles, J., & Pievani, M. (2014) · International Psychogeriatrics · doi:10.1017/s1041610213002627 · Cited by 35
Self-citationChanges in the Hippocampal Volume and Shape in Early-Onset Mild Cognitive Impairment
Moon, S. W., Lee, B., & Choi, Y. C. (2018) · Psychiatry Investigation · doi:10.30773/pi.2018.02.12 · Cited by 35
Španić, E., Horvat, L. L., Ilić, K., Hof, P. R., & Šimić, G. (2022) · Cells · doi:10.3390/cells11142223 · Cited by 35
Moretti, D. V., Prestia, A., Fracassi, C., Geroldi, C., Binetti, G. G., Rossini, P. M., Zanetti, O. O., & Frisoni, G. B. (2011) · International Journal of Alzheimer s Disease · doi:10.4061/2011/208218 · Cited by 34
Self-citationMultimodal magnetic resonance imaging in Alzheimer's disease patients at prodromal stage
Eustache, P., Nemmi, F., Saint-Aubert, L., Pariente, J., & Péran, P. (2016) · Journal of Alzheimer’s Disease · doi:10.3233/jad-150353 · Cited by 35
Hippocampal Shape Modeling Based on a Progressive Template Surface Deformation and its Verification
Kim, J., Hernández, M. V., Royle, N. A., & Park, J. (2014) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2014.2382581 · Cited by 32
Identifying preclinical vascular dementia in symptomatic small vessel disease using MRI
Lambert, C., Zeestraten, E., Williams, O. A., Benjamin, P., Lawrence, A. J., Morris, R. G., MacKinnon, A. D., Barrick, T. R., & Markus, H. S. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.06.023 · Cited by 33
Metadata
- Authors
- Frisoni, G. B., Ganzola, R., Canu, E., Rub, U., Pizzini, F. B., Alessandrini, F., Zoccatelli, G., Beltramello, A., Caltagirone, C., & Thompson, P. M.
- Affiliations
- University of California, Los Angeles (US)
- Goethe University Frankfurt (DE)
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-11-06
- Volume
- 131
- Issue
- 12
- Pages
- 3266-3276
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- OpenAlex
- W2090537659
- Cited by
- 256
- References
- 53
- Citations by year
- 2026: 11 · 2025: 11 · 2024: 7 · 2023: 8 · 2022: 15 · 2021: 13 · 2020: 24 · 2019: 19 · 2018: 10 · 2017: 17 · 2016: 14 · 2015: 27 · 2014: 25 · 2013: 15 · 2012: 12
- FWCI
- 6.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Brain (publishedVersion)
- PubMed (publishedVersion)
- Cineca Institutional Research Information System (Tor Vergata University) (submittedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- Alzheimer's disease, normal aging, hippocampal atrophy, hippocampal subfields, CA1, presubiculum, hippocampal volume, T1-weighted imaging, 3T MRI
- MeSH terms
- Aged, Aged, 80 and over, Aging, Alzheimer Disease, Brain Mapping, Female, Hippocampus, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Psychiatric Status Rating Scales
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