Cognitive and Brain Profiles Associated with Current Neuroimaging Biomarkers of Preclinical Alzheimer's Disease
Open accessAbstract
Neuroimaging biomarkers, namely hippocampal volume loss, temporoparietal hypometabolism, and neocortical β-amyloid (Aβ) deposition, are included in the recent research criteria for preclinical Alzheimer's disease (AD). However, how to use these biomarkers is still being debated, especially regarding their sequence. Our aim was to characterize the cognitive and brain profiles of elders classified as positive or negative for each biomarker to further our understanding of their use in the preclinical diagnosis of AD. Fifty-four cognitively normal individuals (age = 65.8 ± 8.3 years) underwent neuropsychological tests (structural MRI, FDG-PET, and Florbetapir-PET) and were dichotomized into positive or negative independently for each neuroimaging biomarker. Demographic, neuropsychological, and neuroimaging data were compared between positive and negative subgroups. The MRI-positive subgroup had lower executive performances and mixed patterns of lower volume and metabolism in AD-characteristic regions and in the prefrontal cortex. The FDG-positive subgroup showed only hypometabolism, predominantly in AD-sensitive areas extending to the whole neocortex, compared with the FDG-negative subgroup. The amyloid-positive subgroup was older and included more APOE ε4 carriers compared with the amyloid-negative subgroup. When considering MRI and/or FDG biomarkers together (i.e., the neurodegeneration-positive), there was a trend for an inverse relationship with Aβ deposition such that those with neurodegeneration tended to show less Aβ deposition and the reverse was true as well. Our findings suggest that: (1) MRI and FDG biomarkers provide complementary rather than redundant information and (2) relatively young cognitively normal elders tend to have either neurodegeneration or Aβ deposition, but not both, suggesting additive rather than sequential/causative links between AD neuroimaging biomarkers at this age. Significance statement: Neuroimaging biomarkers are included in the recent research criteria for preclinical Alzheimer's disease (AD). However, how to use these biomarkers is still being debated, especially regarding their sequence. Our findings suggest that MRI and FDG-PET biomarkers should be used in combination, offering an additive contribution instead of reflecting the same process of neurodegeneration. Moreover, the present study also challenges the hierarchical use of the neuroimaging biomarkers in preclinical AD because it suggests that the neurodegeneration observed in this population is not due to β-amyloid deposition. Rather, our results suggest that β-amyloid- and tau-related pathological processes may interact but not necessarily appear in a systematic sequence.
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
Cites
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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 · see citing works
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 · see citing works
Hirono, N., Mori, E., Ikejiri, Y., Imamura, T., Shimomura, T., Hashimoto, M., Yamashita, H., & Ikeda, M. (1997) · PubMed · Cited by 21,010 · see citing works
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589 · see citing works
Older Adults' Reasons for Using Technology while Aging in Place
Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., van Hoof, J., Vrijhoef, H. J., & Wouters, E. (2015) · Gerontology · doi:10.1159/000430949 · Cited by 19,803 · see citing works
Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly
Kangas, M., Korpelainen, R., Vikman, I., Nyberg, L., & Jämsä, T. J. (2014) · Gerontology · doi:10.1159/000362720 · Cited by 19,003 · see citing works
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657 · see citing works
Sperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.003 · Cited by 7,155 · see citing works
The Neuropsychological Assessment
Ogden, J. A. (2005) · Oxford University Press eBooks · doi:10.1093/oso/9780195171358.003.0002 · Cited by 4,382 · see citing works
Clinical and biomarker changes in dominantly inherited Alzheimer's disease
Bateman, R. J., Xiong, C., Benzinger, T. L. S., Fagan, A. M., Goate, A., Fox, N. C., Marcus, D. S., Cairns, N. J., Xie, X., Blazey, T. M., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1202753 · Cited by 3,814 · see citing works
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
Benton, A. (1994) · Annual Review of Psychology · doi:10.1146/annurev.psych.45.1.1 · Cited by 2,298 · see citing works
Villemagne, V. L., Burnham, S., Bourgeat, P., Brown, B., Ellis, K. A., Salvado, O., Szoeke, C., Macaulay, S. L., Martins, R., Maruff, P., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70044-9 · Cited by 2,279 · see citing works
Neuropsychological assessment, 4th ed.
Lezak, M. D., Howieson, D. B., Loring, D. W., Hannay, H. J., & Fischer, J. S. (2004) · Cited by 1,934 · see citing works
Models of visuospatial and verbal memory across the adult life span.
Park, D. C., Lautenschlager, G. J., Hedden, T., Davidson, N. S., Smith, A. D., & Smith, P. K. (2002) · Psychology and Aging · doi:10.1037/0882-7974.17.2.299 · Cited by 1,792 · see citing works
Alzheimer’s Disease Neuroimaging Initiative
Mueller, S. G., Weiner, M. W., Thal, L. J., Petersen, R. C., Jack, C. R., Jagust, W. J., Trojanowski, J. Q., Toga, A. W., & Beckett, L. A. (2007) · Springer eBooks · doi:10.1007/978-0-387-72076-0_18 · Cited by 1,493 · see citing works
An information theoretical approach to prefrontal executive function
Koechlin, E., & Summerfield, C. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.04.005 · Cited by 1,183 · see citing works
Executive functions and the frontal lobes: a conceptual view
Stuss, D. T., & Alexander, M. P. (2000) · Psychological Research · doi:10.1007/s004269900007 · Cited by 1,159 · see citing works
Genuine memory deficits in dementia
Grober, E. H., & Herman Buschke, L. (1987) · Developmental Neuropsychology · doi:10.1080/87565648709540361 · Cited by 1,045 · see citing works
<i>APOE</i> 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
Associations between cognitive, functional, and FDG-PET measures of decline in AD and MCI
Landau, S. M., Harvey, D., Madison, C. M., Koeppe, R. A., Reiman, E. M., Foster, N. L., Weiner, M. W., & Jagust, W. J. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.07.002 · Cited by 750 · see citing works
Jack, C. R., Knopman, D. S., Weigand, S. D., Wiste, H. J., Vemuri, P., Lowe, V., Kantarci, K., Gunter, J. L., Senjem, M. L., Ivnik, R. J., et al. (2012) · Annals of Neurology · doi:10.1002/ana.22628 · Cited by 602 · see citing works
Linking Aβ and Tau in Late-Onset Alzheimer's Disease: A Dual Pathway Hypothesis
Small, S. A., & Duff, K. (2008) · Neuron · doi:10.1016/j.neuron.2008.11.007 · Cited by 546 · see citing works
Reiman, E. M., Quiroz, Y. T., Fleisher, A. S., Chen, K., Velez-Pardo, C., Jimenez-Del-Rio, M., Fagan, A. M., Shah, A. R., Alvarez, S., Arbelaez, A., et al. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70228-4 · Cited by 541 · 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
Wechsler Adult Intelligence Scale
Szczepkowski, K. V., & Demakis, G. J. (2017) · Springer eBooks · doi:10.1007/978-3-319-28099-8_1034-1 · Cited by 452 · see citing works
Limbic hypometabolism in Alzheimer's disease and mild cognitive impairment
Nestor, P. J., Fryer, T. D., Smielewski, P. S., & Hodges, J. R. (2003) · Annals of Neurology · doi:10.1002/ana.10669 · Cited by 414 · see citing works
MR-based in vivo hippocampal volumetrics: 2. Findings in neuropsychiatric disorders
Geuze, E., Vermetten, E., & Bremner, J. D. (2005) · Molecular Psychiatry · doi:10.1038/sj.mp.4001579 · Cited by 412 · see citing works
Voxel-based mapping of brain gray matter volume and glucose metabolism profiles in normal aging
Kalpouzos, G., Chételat, G., Baron, J.-C., Landeau, B., Mevel, K., Godeau, C., Barré, L., Constans, J.-M., Viader, F., Eustache, F., et al. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.05.019 · Cited by 392 · cited 1× · see citing works
“…function performance (compared with the MRInegative HE), which fits both with the involvement of the prefrontal cortex (Stuss and Alexander, 2000; Koechlin and Summerfield, 2007) and the possible involvement of normal aging or FTD, both known to be associated with executive function deficits…”
BackgroundSelf-citationLa Joie, R., Perrotin, A., Barré, L., Hommet, C., Mézenge, F., Ibazizene, M., Camus, V., Abbas, A., Landeau, B., Guilloteau, D., et al. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.2170-12.2012 · Cited by 374 · see citing works
Self-citationVillain, N., Desgranges, B., Viader, F., de la Sayette, V., Mezenge, F., Landeau, B., Baron, J.-C., Eustache, F., & Chetelat, G. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.1392-08.2008 · Cited by 366 · see citing works
Self-citationModifiable factors that alter the size of the hippocampus with ageing
Fotuhi, M., Do, D., & Jack, C. R. (2012) · Nature Reviews Neurology · doi:10.1038/nrneurol.2012.27 · Cited by 358 · see citing works
Jack, C. R., Wiste, H. J., Weigand, S. D., Rocca, W. A., Knopman, D. S., Mielke, M. M., Lowe, V. J., Senjem, M. L., Gunter, J. L., Preboske, G. M., et al. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70194-2 · Cited by 358 · see citing works
Chételat, G., Joie, R. L., Villain, N., Perrotin, A., Sayette, V. D. L., Eustache, F., & Vandenberghe, R. R. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.02.006 · Cited by 353 · see citing works
Self-citationDirect voxel-based comparison between grey matter hypometabolism and atrophy in Alzheimer's disease
Chételat, G., Desgranges, B., Landeau, B., Mézenge, F., Poline, J.-B., Sayette, V. D. L., Viader, F., Eustache, F., & Baron, J. (2007) · Brain · doi:10.1093/brain/awm288 · Cited by 340 · see citing works
Self-citationMormino, E. C., Betensky, R. A., Hedden, T., Schultz, A. P., Amariglio, R. E., Rentz, D. M., Johnson, K. A., & Sperling, R. A. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.2031 · Cited by 328 · see citing works
Geriatric psychiatry : a handbook for psychiatrists and primary care physicians
Bellak, L., Karasu, T. B., & Birenbaum, C. (1976) · Grune & Stratton eBooks · Cited by 325 · see citing works
Vulnerable Neural Systems and the Borderland of Brain Aging and Neurodegeneration
Jagust, W. J. (2013) · Neuron · doi:10.1016/j.neuron.2013.01.002 · Cited by 321 · see citing works
Arenaza‐Urquijo, E. M., Landeau, B., Joie, R. L., Mevel, K., Mézenge, F., Perrotin, A., Desgranges, B., David Bartrés-faz, A., Eustache, F., & Chételat, G. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.053 · Cited by 291 · see citing works
Self-citationBohnen, 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
Dissociating atrophy and hypometabolism impact on episodic memory in mild cognitive impairment
Chetelat, G. (2003) · Brain · doi:10.1093/brain/awg196 · Cited by 264 · see citing works
Self-citationVillain, N., Fouquet, M., Baron, J.-C., Mezenge, F., Landeau, B., de La Sayette, V., Viader, F., Eustache, F., Desgranges, B., & Chetelat, G. (2010) · Brain · doi:10.1093/brain/awq203 · Cited by 237 · see citing works
Self-citationThe significance of medial temporal lobe atrophy: A postmortem MRI study in the very old
Barkhof, F., Polvikoski, T. M., van Straaten, E. C. W., Kalaria, R. N., Sulkava, R., Aronen, H. J., Niinistö, L., Rastas, S., Oinas, M., Scheltens, P., et al. (2007) · Neurology · doi:10.1212/01.wnl.0000277459.83543.99 · Cited by 204 · see citing works
Amyloid-first and neurodegeneration-first profiles characterize incident amyloid PET positivity
Jack, C. R., Wiste, H. J., Weigand, S. D., Knopman, D. S., Lowe, V. J., Vemuri, P., Mielke, M. M., Jones, D. T., Senjem, M. L., Gunter, J. L., et al. (2013) · Neurology · doi:10.1212/01.wnl.0000435556.21319.e4 · Cited by 200 · see citing works
Aβ-independent processes—rethinking preclinical AD
Chételat, G. (2013) · Nature Reviews Neurology · doi:10.1038/nrneurol.2013.21 · Cited by 184 · see citing works
Effect of physical layout in performance of the Trail Making Test.
Arnett, J. A., & Labovitz, S. S. (1995) · Psychological Assessment · doi:10.1037/1040-3590.7.2.220 · Cited by 181 · see citing works
Fleisher, A. S., Chen, K., Quiroz, Y. T., Jakimovich, L. J., Gutierrez Gomez, M., Langois, C. M., Langbaum, J. B. S., Roontiva, A., Thiyyagura, P., Lee, W., et al. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2014.3314 · Cited by 177 · see citing works
Wirth, M., Villeneuve, S., Haase, C. M., Madison, C. M., Oh, H., Landau, S. M., Rabinovici, G. D., & Jagust, W. J. (2013) · JAMA Neurology · doi:10.1001/jamaneurol.2013.4013 · Cited by 171 · see citing works
Apolipoprotein E, not fibrillar β-amyloid, reduces cerebral glucose metabolism in normal aging
Jagust, W. J., Landau, S. M., & Initiative, F. T. A. D. N. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.3266-12.2012 · Cited by 162 · see citing works
Wirth, M., Madison, C. M., Rabinovici, G. D., Oh, H., Landau, S. M., & Jagust, W. J. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.4409-12.2013 · Cited by 151 · see citing works
Autobiographical fluency: A method for the study of personal memory
Dritschel, B., Williams, J. M., Baddeley, A., & Nimmo‐Smith, I. (1992) · Memory & Cognition · doi:10.3758/bf03197162 · Cited by 145 · see citing works
Age effect on the default mode network, inner thoughts, and cognitive abilities
Mevel, K., Landeau, B., Fouquet, M., Joie, R. L., Villain, N., Mézenge, F., Perrotin, A., Eustache, F., Desgranges, B., & Chételat, G. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.08.018 · Cited by 136 · see citing works
Self-citationBoxer, A. L., & Boeve, B. F. (2007) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e31815c345e · Cited by 88 · see citing works
de Souza, L. C., Marie Chupin, A., Bertoux, M., Lehéricy, S., Dubois, B., Lamari, F., Ber, I. L., Bottlaender, M., Olivier Colliot, A., & Sarazin, M. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-122293 · Cited by 87 · see citing works
Imaging Brain Effects of APOE4 in Cognitively Normal Individuals Across the Lifespan
Fouquet, M., Besson, F. L., Gonneaud, J., Joie, R. L., & Chételat, G. (2014) · Neuropsychology Review · doi:10.1007/s11065-014-9263-8 · Cited by 83 · see citing works
Self-citationNeuroimaging in frontotemporal lobar degeneration—predicting molecular pathology
Whitwell, J. L., & Josephs, K. A. (2012) · Nature Reviews Neurology · doi:10.1038/nrneurol.2012.7 · Cited by 70 · see citing works
Wirth, M., Oh, H., Mormino, E. C., Markley, C., Landau, S. M., & Jagust, W. J. (2013) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.10.012 · Cited by 67 · see citing works
Limited agreement between biomarkers of neuronal injury at different stages of Alzheimer's disease
Alexopoulos, P., Kriett, L., Haller, B., Klupp, E., Gray, K., Grimmer, T., Laskaris, N., Förster, S., Perneczky, R., Kurz, A., et al. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.03.006 · Cited by 62 · see citing works
Role of hippocampal CA1 atrophy in memory encoding deficits in amnestic Mild Cognitive Impairment
Fouquet, M., Desgranges, B., Joie, R. L., Rivière, D., Mangin, J., Landeau, B., Mézenge, F., Pèlerin, A., Sayette, V. D. L., Viader, F., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.036 · Cited by 56 · see citing works
Self-citationNeuroimaging Results Impose New Views on Alzheimer’s Disease—the Role of Amyloid Revised
Fjell, A. M., & Walhovd, K. B. (2011) · Molecular Neurobiology · doi:10.1007/s12035-011-8228-7 · Cited by 47 · see citing works
Chételat, G., Villain, N., Desgranges, B., Eustache, F., & Baron, J. (2009) · Brain · doi:10.1093/brain/awp253 · Cited by 38 · see citing works
Self-citation[Clinical evaluation of memory].
Eustache, F., Desgranges, B., & Lalevée, C. (1998) · PubMed · Cited by 14 · see citing works
Self-citation[Autobiographical memory in aging].
Piolino, P. (2003) · PubMed · Cited by 11 · see citing works
The amyloid cascade is not the only pathway to AD
Chételat, G. (2013) · Nature Reviews Neurology · doi:10.1038/nrneurol.2013.21-c2 · Cited by 9 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [48]48. Signoret J (1991) Batterie d'efficience mne ´sique BEM 144 [book in French]. Paris: Elsevier.
Cited by
Sorted by citations
NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., Holtzman, D. M., Jagust, W., Jessen, F., Karlawish, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.018 · Cited by 10,537 · see citing works
A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Feldman, H. H., Frisoni, G. B., Hampel, H., Jagust, W. J., Johnson, K. A., Knopman, D. S., et al. (2016) · Neurology · doi:10.1212/wnl.0000000000002923 · Cited by 1,864 · see citing works
2018 Alzheimer's disease facts and figures
Alzheimer's Association (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.001 · Cited by 1,912 · see citing works
Perrotin, A., La Joie, R., de La Sayette, V., Barré, L., Mézenge, F., Mutlu, J., Guilloteau, D., Egret, S., Eustache, F., & Chételat, G. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.08.011 · Cited by 179 · see citing works
Self-citationWhite matter hyperintensity topography in Alzheimer's disease and links to cognition
Garnier‐Crussard, A., Bougacha, S., Wirth, M., Dautricourt, S., Sherif, S., Landeau, B., Gonneaud, J., De Flores, R., de la Sayette, V., Vivien, D., et al. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12410 · Cited by 170 · see citing works
Self-citationWhite matter hyperintensities across the adult lifespan: Relation to age, Aβ load, and cognition
Garnier-Crussard, A., Bougacha, S., Wirth, M., André, C., Delarue, M., Landeau, B., Mézenge, F., Kuhn, E., Gonneaud, J., Chocat, A., et al. (2020) · Alzheimer's Research & Therapy · doi:10.1186/s13195-020-00669-4 · Cited by 130 · see citing works
Self-citationChiesa, P. A., Cavedo, E., Vergallo, A., Lista, S., Potier, M., Habert, M., Dubois, B., Thiebaut de Schotten, M., Hampel, H., and the INSIGHT‐preAD study group, et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2019.03.006 · Cited by 66 · see citing works
Gray Matter Network Disruptions and Regional Amyloid Beta in Cognitively Normal Adults
ten Kate, M., Visser, P. J., Bakardjian, H., Barkhof, F., Sikkes, S. A. M., van der Flier, W. M., Scheltens, P., Hampel, H., Habert, M.-O., Dubois, B., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00067 · Cited by 41 · see citing works
Quantitative proteomics of synaptosome <i>S</i>‐nitrosylation in Alzheimer’s disease
Wijasa, T. S., Sylvester, M., Brocke‐Ahmadinejad, N., Schwartz, S., Santarelli, F., Gieselmann, V., Klockgether, T., Brosseron, F., & Heneka, M. T. (2020) · Journal of Neurochemistry · doi:10.1111/jnc.14870 · Cited by 41 · see citing works
Felisatti, F., Gonneaud, J., Palix, C., Garnier-Crussard, A., Mézenge, F., Landeau, B., Chocat, A., Quillard, A., Ferrand-Devouge, E., de La Sayette, V., et al. (2022) · Neurology · doi:10.1212/wnl.0000000000200270 · Cited by 26 · see citing works
Self-citationTeipel, S. J., Cavedo, E., Weschke, S., Grothe, M. J., Rojkova, K., Fontaine, G., Dauphinot, L., Gonzalez-Escamilla, G., Potier, M.-C., Bertin, H., et al. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.05.016 · Cited by 22 · see citing works
- Authors
- Besson, F. L., La Joie, R., Doeuvre, L., Gaubert, M., Mezenge, F., Egret, S., Landeau, B., Barre, L., Abbas, A., Ibazizene, M., de La Sayette, V., Desgranges, B., Eustache, F., & Chetelat, G.
- Affiliations
- Inserm (FR)
- Venue
- Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2015-07-22
- Volume
- 35
- Issue
- 29
- Pages
- 10402-10411
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6605120
- OpenAlex
- W1519378085
- Cited by
- 141
- References
- 64
- Citations by year
- 2026: 3 · 2025: 9 · 2024: 8 · 2023: 12 · 2022: 19 · 2021: 14 · 2020: 11 · 2019: 14 · 2018: 16 · 2017: 15 · 2016: 16 · 2015: 4
- FWCI
- 13.78
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neuroscience (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- 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 › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
- Keywords
- preclinical Alzheimer's disease, neuroimaging biomarkers, hippocampal atrophy, FDG-PET, amyloid-beta deposition, executive function, APOE ε4, prefrontal cortex, cognitive profile, older adults
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Brain, Female, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Nerve Degeneration, Neuropsychological Tests, Biomarkers, Positron-Emission Tomography, Plaque, Amyloid, Neuroimaging, Cognitive Dysfunction, Multimodal Imaging
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
