The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
Relationships between Hippocampal Atrophy, White Matter Disruption, and Gray Matter Hypometabolism in Alzheimer's Disease
Open accessAbstract
In early Alzheimer's disease (AD), the hippocampal region is the area most severely affected by cellular and structural alterations, yet glucose hypometabolism predominates in the posterior association cortex and posterior cingulate gyrus. One prevalent hypothesis to account for this discrepancy is that posterior cingulate hypometabolism results from disconnection from the hippocampus through disruption of the cingulum bundle. However, only partial and indirect evidence currently supports this hypothesis. Thus, using structural magnetic resonance imaging and 2-[(18)F]fluoro-2-deoxy-D-glucose positron emission tomography in 18 patients with early AD, we assessed the relationships between hippocampal atrophy, white matter integrity, and gray matter metabolism by means of a whole-brain voxel-based correlative approach. We found that hippocampal atrophy is specifically related to cingulum bundle disruption, which is in turn highly correlated to hypometabolism of the posterior cingulate cortex but also of the middle cingulate gyrus, thalamus, mammillary bodies, parahippocampal gyrus, and hippocampus (all part of Papez's circuit), as well as the right temporoparietal associative cortex. These results provide the first direct evidence supporting the disconnection hypothesis as a major factor contributing to the early posterior hypometabolism in AD. Disruption of the cingulum bundle also appears to relate to hypometabolism in a large connected network over and above the posterior cingulate cortex, encompassing the whole memory circuit of Papez (consistent with the key location of this white matter tract within this loop) and also, but indirectly, the right posterior association cortex.
Overview
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
Verification
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?
In the citing paper
“hippocampal atrophy has been shown to induce PCC hypometabolism through a disconnection process in AD (Villain et al., 2008).”
From Hippocampal subfield volumetry in mild cognitive impairment, Alzheimer's disease and semantic dementia (2013) · cites this paper as Villain et al., 2008
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319
Self-citationNeuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561
A PROPOSED MECHANISM OF EMOTION
PAPEZ, J. W. (1937) · Archives of Neurology And Psychiatry · doi:10.1001/archneurpsyc.1937.02260220069003 · Cited by 3,563
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
Schmahmann, J. D., & Pandya, D. N. (2006) · doi:10.1093/acprof:oso/9780195104233.001.0001 · Cited by 1,157
Dynamics 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
MRI Atlas of Human White Matter
Mori, S. (2005) · Cited by 1,103
Cited by
Sorted by citations
Items 201–300 of 365
Metabolic regional and network changes in Alzheimer's disease subtypes
Herholz, K., Haense, C., Gerhard, A., Jones, M. S., Anton‐Rodriguez, J., Segobin, S. H., Snowden, J. S., Thompson, J. C., & Kobylecki, C. (2017) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x17718436 · Cited by 27
Wang, Z., Dai, Z., Shu, H., Liu, D., Guo, Q., He, Y., & Zhang, Z. (2017) · Journal of Alzheimer’s Disease · doi:10.3233/jad-160724 · Cited by 26
Taylor, W. D., Kudra, K., Zhao, Z., Steffens, D. C., & MacFall, J. R. (2014) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.03.031 · Cited by 26
Qiu, A., Oishi, K., Miller, M. I., Lyketsos, C. G., Mori, S., & Albert, M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009811 · Cited by 26
Alderson, T. H., Kehoe, E. G., Maguire, L., Farrell, D., LAWLOR, B. A., Kenny, R. A., Lyons, D., Bokde, A. L. W., & Coyle, D. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00370 · Cited by 27
Kerner, N. A., Roose, S. P., Pelton, G. H., Ciarleglio, A., Scodes, J. M., Lentz, C. L., Sneed, J. R., & Devanand, D. P. (2016) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2016.11.009 · Cited by 25
Initiative, A. D. N., Schilling, L. P., Pascoal, T. A., Zimmer, E. R., Mathotaarachchi, S. S., Shin, M., Rieder, C. R. D. M., Gauthier, S. G., Palmini, A., & Rosa‐Neto, P. (2018) · Molecular Neurobiology · doi:10.1007/s12035-018-1405-1 · Cited by 25
Konukoğlu, E., Coutu, J., Salat, D. H., & Fischl, B. R. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.038 · Cited by 26
Boucart, M., Calais, G., Lenoble, Q., Moroni, C., & Pasquier, F. (2014) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2014.00060 · Cited by 26
Bejanin, A., Desgranges, B., Joie, R. L., Landeau, B., Perrotin, A., Mézenge, F., Belliard, S., Sayette, V. D. L., Eustache, F., & Chételat, G. (2016) · Human Brain Mapping · doi:10.1002/hbm.23482 · Cited by 27
Self-citationJoshi, H., Bharath, S., Balachandar, R., Sadanand, S., Vishwakarma, H., Aiyappan, S., Saini, J. S., Kumar, K. J., John, J. P., & Varghese, M. (2019) · Brain Connectivity · doi:10.1089/brain.2019.0676 · Cited by 23
Ramanan, S., Marstaller, L., Hodges, J. R., Piguet, O., & Irish, M. (2020) · Cortex · doi:10.1016/j.cortex.2019.12.026 · Cited by 24
Fascicle- and Glucose-Specific Deterioration in White Matter Energy Supply in Alzheimer’s Disease
Roy, M., Rheault, F., Croteau, É., Castellano, C., Fortier, M., St‐Pierre, V., Houde, J., Turcotte, É. E., Bocti, C., Fülöp, T., et al. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200213 · Cited by 23
Wang, D., Liu, B., Qin, W., Wang, J., Zhang, Y., Jiang, T., & Yu, C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.12.022 · Cited by 25
Murakami, K., Ishikawa, Y., & Sato, F. (2013) · Neuroscience · doi:10.1016/j.neuroscience.2013.08.024 · Cited by 22
den Heijer, T., van der Lijn, F., Ikram, M. A., Koudstaal, P. J., van der Lugt, A., Krestin, G. P., Vrooman, H. A., Albert Hofman, D., Niessen, W. J., & Breteler, M. M. B. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2011.07.005 · Cited by 22
Bi, Q., Wang, W., Niu, N., Li, H., Wang, Y., Huang, W., Chen, K., Xu, K., Zhang, J., Chen, Y., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117591 · Cited by 22
Pandya, S., Initiative, A. D. N., Kuceyeski, A. F., & Raj, A. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160090 · Cited by 24
FDG PET and cognitive symptoms of dementia
Perani, D. (2013) · Clinical and Translational Imaging · doi:10.1007/s40336-013-0029-8 · Cited by 21
Group‐averaged anatomical connectivity mapping for improved human white matter pathway visualisation
Cercignani, M., Embleton, K. V., Parker, G. J. M., & Bozzali, M. (2012) · NMR in Biomedicine · doi:10.1002/nbm.2793 · Cited by 20
Pasquini, L., Scherr, M., Tahmasian, M., Myers, N. E., Ortner, M., Kurz, A., Förstl, H., Zimmer, C., Grimmer, T., Akhrif, A., et al. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-150823 · Cited by 20
Neural correlates of episodic memory in healthy aging and Alzheimer's disease.
Meulenbroek, O. (2010) · Radboud Repository (Radboud University) · Cited by 20
Posterior Cingulate Cortex Hypometabolism in Non-Amnestic Variants of Alzheimer’s Disease
Bergeron, D., Beauregard, J., Jean-Guimond, Soucy, J., Verret, L., Poulin, S. P., Matías‐Guiu, J. A., Cabrera‐Martín, M. N., Bouchard, R. W., & Laforce, R. J. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200567 · Cited by 20
Choi, M., Kim, H., Gim, S., Kim, W., Mun, K.-R., Tack, G., Lee, B., Choi, Y. C., Kim, H., Hong, S. H., et al. (2016) · Neuroscience Letters · doi:10.1016/j.neulet.2016.03.044 · Cited by 19
Metabolic Compensation and Depression in Alzheimer’s Disease
Caroli, A., Lorenzi, M., Geroldi, C., Nobili, F. M., Paghera, B., Bonetti, M., Cotelli, M., & Frisoni, G. B. (2010) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000257761 · Cited by 19
Olfactory deficits induce neurofilament hyperphosphorylation
Hu, J., Wang, X., Liu, D., Wang, Q., & Zhu, L. (2011) · Neuroscience Letters · doi:10.1016/j.neulet.2011.10.076 · Cited by 19
Brain tissue modifications induced by cholinergic therapy in Alzheimer's disease
Bozzali, M., Parker, G. J. M., Spanò, B., Serra, L., Giulietti, G., Perri, R., Magnani, G., Marra, C., Vita, M. G., Caltagirone, C., et al. (2012) · Human Brain Mapping · doi:10.1002/hbm.22130 · Cited by 19
Palix, C., Felisatti, F., Gonneaud, J., Kuhn, E., Mézenge, F., Landeau, B., Chocat, A., Quillard, A., Egret, S., Delarue, M., et al. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.06.004 · Cited by 22
Self-citationAcosta, O., Fripp, J., Doré, V., Bourgeat, P., Favreau, J.-M., Chételat, G., Rueda, A., Villemagne, V. L., Szoeke, C. E. I., Ames, D. J., et al. (2011) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2011.12.011 · Cited by 18
Leclerc, B., & Abulrob, A. (2013) · The Scientific World JOURNAL · doi:10.1155/2013/589308 · Cited by 18
Savard, M., Pascoal, T., Servaes, S., Dhollander, T., Iturria-Medina, Y., Kang, M., Vitali, P., Therriault, J., Mathotaarachchi, S., Benedet, A., et al. (2022) · eLife · doi:10.7554/elife.73510 · Cited by 11
Park, K., Kohl, M. M., & Kwag, J. (2023) · Current Biology · doi:10.1016/j.cub.2023.12.014 · Cited by 20
Gold, B. T., Jiang, Y., Powell, D. K., & Smith, C. D. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-112165 · Cited by 17
Abnormal white matter independent of hippocampal atrophy in amnestic type mild cognitive impairment
Bai, F., Zhang, Z., Watson, D. R., Yu, H., Shi, Y., & Yuan, Y. (2009) · Neuroscience Letters · doi:10.1016/j.neulet.2009.07.009 · Cited by 17
Classification of Alzheimer Disease using Gabor Texture Feature of Hippocampus Region
Keserwani, P., Pammi, V. S. C., Prakash, O., Khare, A., & Jeon, M. (2016) · International Journal of Image Graphics and Signal Processing · doi:10.5815/ijigsp.2016.06.02 · Cited by 17
Sharma, R., Goel, T., Tanveer, M., & Al‐Dhaifallah, M. (2025) · IEEE Transactions on Emerging Topics in Computational Intelligence · doi:10.1109/tetci.2024.3523714 · Cited by 16
A new model for early diagnosis of alzheimer's disease based on BAT-SVM classifier
Taie, S. A., & Ghonaim, W. A. (2021) · Bulletin of Electrical Engineering and Informatics · doi:10.11591/eei.v10i2.2714 · Cited by 16
Application of fuzzy logic for Alzheimer's disease diagnosis
Krashenyi, I., Popov, A. O., Ramı́rez, J., & Górriz, J. M. (2015) · Signal Processing Symposium (SPSympo) · doi:10.1109/sps.2015.7168288 · Cited by 16
Fiber Tracts Anomalies in APPxPS1 Transgenic Mice Modeling Alzheimer's Disease
Chen, H., Epelbaum, S., & Delatour, B. (2011) · Journal of Aging Research · doi:10.4061/2011/281274 · Cited by 15
A Fuzzy-Based Expert System to Diagnose Alzheimer’s Disease
Mallika, R., UshaRani, K., & Hemalatha, K. P. J. (2018) · SpringerBriefs in applied sciences and technology · doi:10.1007/978-981-13-0866-6_6 · Cited by 15
Gilligan, T. M., Sibilia, F., Farrell, D., Lyons, D., Kennelly, S., & Bokde, A. L. W. (2019) · PLoS ONE · doi:10.1371/journal.pone.0222977 · Cited by 13
Multi-View Based Multi-Model Learning for MCI Diagnosis
Cao, P., Gao, J., & Zhang, Z. (2020) · Brain Sciences · doi:10.3390/brainsci10030181 · Cited by 15
Amanzio, M., Palermo, S., Stanziano, M., D’Agata, F., Galati, A., Gentile, S., Castellano, G., Bartoli, M., Cipriani, G. E., Rubino, E., et al. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.637796 · Cited by 15
Firbank, M., Lloyd, J. J., Williams, D., Barber, R., Colloby, S. J., Barnett, N. A., Olsen, K., Davison, C. M., Donaldson, C., Herholz, K., et al. (2015) · The British Journal of Psychiatry · doi:10.1192/bjp.bp.114.160804 · Cited by 15
The missing role of gray matter in studying brain controllability
Jamalabadi, H., Zuberer, A., Kumar, V., Li, M., Alizadeh, S., Amani, A. M., Christian Gaser, B., Esterman, M. S., & Walter, M. (2020) · Network Neuroscience · doi:10.1162/netn_a_00174 · Cited by 14
Fan, Y., Shen, M., Huo, Y., Gao, X., Li, C., Zheng, R., & Zhang, J. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.698035 · Cited by 14
Kandel, B. M., Wang, D. J. J., Detre, J. A., Gee, J. C., & Avants, B. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.10.052 · Cited by 13
Spalletta, G., Iorio, M., Vecchio, D., Piras, F., Ciullo, V., Banaj, N., Sensi, S. L., Gianni, W., Assogna, F., Caltagirone, C., et al. (2020) · Journal of Personalized Medicine · doi:10.3390/jpm10040172 · Cited by 15
de Souza, A. S., de Oliveira‐Souza, R., Moll, J., Tovar-Moll, F. F., Andreiuolo, P. Â., & Bottino, C. M. C. (2011) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000334656 · Cited by 14
Yamamoto, N., Fox, M. J., Boys, E., & Ord, J. (2019) · Behavioural Brain Research · doi:10.1016/j.bbr.2019.03.012 · Cited by 15
Hellstrøm, T., Anđelić, N., de Lange, A. G., Helseth, E., Eiklid, K. L., & Westlye, L. T. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10030418 · Cited by 13
The role of PET quantification in neurological imaging: FDG and amyloid imaging in dementia
Herholz, K. (2014) · Clinical and Translational Imaging · doi:10.1007/s40336-014-0073-z · Cited by 13
Moulinet, I., Touron, E., Mézenge, F., Dautricourt, S., Sayette, V. D. L., Vivien, D., Marchant, N. L., Poisnel, G., & Chételat, G. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.899158 · Cited by 15
Early Alzheimer disease detection with bag-of-visual-words and hybrid fusion on structural MRI
Ahmed, O. B., Benois‐Pineau, J., Amar, C. B., Allard, M., & Catheline, G. (2013) · International Workshop on Content-Based Multimedia Indexing (CBMI) · doi:10.1109/cbmi.2013.6576557 · Cited by 13
Caffarra, P., Ghetti, C., Ruffini, L., Spallazzi, M., Spotti, A., Barocco, F., Guzzo, C., MARCHI, M. D., & Gardini, S. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-150418 · Cited by 13
Radiomics Analysis of Subcortical Brain Regions Related to Alzheimer Disease
Chaddad, A., & Niazi, T. M. (2018) · IEEE Life Sciences Conference (LSC) · doi:10.1109/lsc.2018.8572264 · Cited by 13
Hayashi, H., Kobayashi, R., Kawakatsu, S., Ohba, M., Morioka, D., & Otani, K. (2021) · Psychogeriatrics · doi:10.1111/psyg.12729 · Cited by 13
Moodley, K. K., Perani, D., Minati, L., Rosa, P. A. D., Pennycook, F., Dickson, J. C., Barnes, A., Contarino, V. E., Michopoulou, S. K., D’Incerti, L., et al. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150151 · Cited by 13
Khan, W., Amad, A., Giampietro, V., Werden, E., Simoni, S. D., O’Muircheartaigh, J., Westman, E., O’Daly, O., Williams, S., Brodtmann, A. G., et al. (2019) · Human Brain Mapping · doi:10.1002/hbm.24894 · Cited by 11
Sun, X., Zhu, J., Li, R., Peng, Y. F., & Gong, L. (2025) · Frontiers in Neurology · doi:10.3389/fneur.2024.1510522 · Cited by 11
Sun, D., Rakesh, G., Clarke‐Rubright, E. K., Haswell, C. C., Logue, M. W., O’Leary, E. N., Cotton, A. S., Xie, H., Dennis, E. L., Jahanshad, N., et al. (2022) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2022.02.008 · Cited by 11
The Reversed Clock Drawing Test Phenomenon in Alzheimer’s Disease: A Perfusion SPECT Study
Brugnolo, A., Morbelli, S. D., Dessi, B., Girtler, N. G., Mazzei, D., Famà, F., Barbieri, P., Cabassi, G., Koulibaly, P. M., Sambuceti, G., et al. (2010) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000270898 · Cited by 11
Villain, N., Chételat, G., Desgranges, B., & Eustache, F. (2010) · Biologie Aujourd hui · doi:10.1051/jbio/2010010 · Cited by 12
Self-citationThe Parietal Lobe in Alzheimer’s Disease and Blindness
Ahulló-Fuster, M.-A., Ortiz, T., Varela-Donoso, E., Nácher, J., & Sánchez-Sánchez, M. L. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220498 · Cited by 10
Kim, G. H., Jeon, S., Seo, S. W., Kim, M.-J., Kim, J. H., Roh, J. H., Shin, J. S., Kim, C. H., Im, K., Lee, M.-J., et al. (2011) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2011.10.013 · Cited by 10
Longitudinal brain metabolic changes from amnestic Mild Cognitive Impairment to Alzheimer's disease
Fouquet, M., Desgranges, B., Landeau, B., Duchesnay, É., Mézenge, F., Sayette, V. D. L., Viader, F., Baron, J., Eustache, F., & Chételat, G. (2009) · NeuroImage · doi:10.1016/s1053-8119(09)71030-4 · Cited by 11
Self-citationGanotra, R., Dora, S., & Gupta, S. (2020) · International Journal of Imaging Systems and Technology · doi:10.1002/ima.22458 · Cited by 10
Wu, M., Schweitzer, N., Iordanova, B. E., Halligan‐Eddy, E., Tudorascu, D., Mathis, C. A., Lopresti, B. J., Kamboh, M. I., Cohen, A. D., Snitz, B. E., et al. (2022) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2022.09.011 · Cited by 10
Bejanin, A., Viard, A., Chételat, G., Clarys, D., Bernard, F., Pèlerin, A., Sayette, V. D. L., Eustache, F., & Desgranges, B. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00107 · Cited by 10
Self-citationFuzzy computer-aided diagnosis of Alzheimer's disease using MRI and PET statistical features
Krashenyi, I., Popov, A. O., Ramı́rez, J., & Górriz, J. M. (2016) · IEEE International Conference on Electronics and Nanotechnology (ELNANO) · doi:10.1109/elnano.2016.7493045 · Cited by 10
Moulinet, I., Landeau, B., Touron, E., Sayette, V. D. L., Desgranges, B., Vivien, D., Marchant, N. L., Poisnel, G., & Chételat, G. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.10.004 · Cited by 11
Self-citationTakase, H., Hamanaka, G., Hoshino, T., Ohtomo, R., Guo, S., Mandeville, E. T., Lo, E. H., & Arai, K. (2024) · Journal of Alzheimer s Disease · doi:10.3233/jad-231049 · Cited by 9
Assessment of a Cognitive-Motor Training Program in Adults at Risk for Developing Dementia
Echlin, H. V., Gorbet, D. J., & Sergio, L. E. (2020) · Canadian Geriatrics Journal · doi:10.5770/cgj.23.394 · Cited by 10
La neuro-imagerie au service de la maladie d’Alzheimer
Chételat, G. (2011) · médecine/sciences · doi:10.1051/medsci/2011272193 · Cited by 13
Kalpouzos, G., Eustache, F., & Desgranges, B. (2010) · Revue de neuropsychologie · doi:10.1684/nrp.2010.0067 · Cited by 9
Self-citationCausal functional connectivity in Alzheimer's disease computed from time series fMRI data
Biswas, R., & Sripada, S. (2023) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2023.1251301 · Cited by 8
Patterns of regional gray matter and white matter atrophy in cortical multiple sclerosis
Parisi, L., Rocca, M. A., Mattioli, F., Riccitelli, G. C., Capra, R., Stampatori, C., Bellomi, F., & Filippi, M. (2014) · Journal of Neurology · doi:10.1007/s00415-014-7409-5 · Cited by 8
Topographic metabolism‐function relationships in Alzheimer's disease: A simultaneous PET / MRI study
Li, W., Zhang, M., Huang, R., Hu, J., Wang, L., Ye, G., Meng, H., Lin, X., Liu, J., Li, B., et al. (2024) · Human Brain Mapping · doi:10.1002/hbm.26604 · Cited by 8
Manco, C., Cortese, R., Leoncini, M., Plantone, D., Gentile, G., Luchetti, L., Zhang, J., Donato, I. D., Salvadori, E., Poggesi, A., et al. (2024) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2024.123163 · Cited by 8
Which SPM Method Should Be Used to Extract Hippocampal Measures in Early Alzheimer's Disease?
Mevel, K., Desgranges, B., Baron, J., Landeau, B., Sayette, V. D. L., Viader, F., Eustache, F., & Chételat, G. (2011) · Journal of Neuroimaging · doi:10.1111/j.1552-6569.2010.00548.x · Cited by 8
Self-citationAPOE ϵ 4, Aging, and Effects on White Matter Across the Adult Life Span
Felsky, D., & Voineskos, A. N. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.865 · Cited by 9
How to use neuroimaging biomarkers in the diagnosis framework of neurodegenerative diseases?
Chételat, G. (2022) · Revue Neurologique · doi:10.1016/j.neurol.2022.03.006 · Cited by 7
Li, Q., Sun, X., Cui, L., Zhong, Y., Wang, B., Miao, Y., Hu, X., & Guo, Q. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103255 · Cited by 7
Gray-white matter boundary Z-score and volume as imaging biomarkers of Alzheimer’s disease
Tian, Y., Oh, J.-H., Rhee, H. Y., Park, S., Ryu, C., Cho, A. R., & Jahng, G. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1291376 · Cited by 7
Fuzzy classification of Alzheimer's disease using statistical moments
Krashenyi, I., Popov, A. O., Ramı́rez, J., & Górriz, J. M. (2015) · IEEE International Conference on Electronics and Nanotechnology (ELNANO) · doi:10.1109/elnano.2015.7146921 · Cited by 6
Kalpouzos, G., Eustache, F., & Desgranges, B. (2010) · Revue de neuropsychologie · doi:10.3917/rne.022.0114 · Cited by 6
Self-citationRepresentation of Visual Landmarks in Retrosplenial CortexPreprint
Fischer, L. F., Soto-Albors, R. M., Buck, F., & Harnett, M. T. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/811430 · Cited by 6
Goda, A., Shimura, T., Murata, S., Kodama, T., Nakano, H., & Ohsugi, H. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12144818 · Cited by 6
SVM-based diagnosis of the Alzheimer's disease using 18F-FDG PET with Fisher discriminant rate
Dehghan, H., Pouyan, A. A., & Hassanpour, H. (2011) · National and International Iranian Conference on Biomedical Engineering (ICBME) · doi:10.1109/icbme.2011.6168581 · Cited by 5
Catana, C., Cherry, S. R., & Sorensen, A. G. (2008) · touchREVIEWS in Neurology · doi:10.17925/usn.2008.04.02.76 · Cited by 5
White Matter Changes in Alzheimer’s Disease Revealed by Diffusion Tensor Imaging with TBSS
Chen, H., Wang, K., Yao, J., Dai, J., Ma, J., Li, S., Ai, L., Chen, Q., Chen, X., & Zhang, Y. (2015) · World Journal of Neuroscience · doi:10.4236/wjns.2015.51007 · Cited by 5
Chitradevi, D., Prabha, S., Mathivanan, S. K., Singh, M., & Mallik, S. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.110654 · Cited by 4
Lissaman, R., Lancaster, T. M., Parker, G. D., Graham, K. S., Lawrence, A. D., & Hodgetts, C. J. (2022) · Neuroimage Reports · doi:10.1016/j.ynirp.2022.100126 · Cited by 4
Regional Brain Metabolism across the Alzheimer's Disease Continuum in Down Syndrome
Arriola‐Infante, J. E., Morcillo-Nieto, A. O., Zsadanyi, S. E., Franquesa‐Mullerat, M., Vaqué‐Alcázar, L., Aranha, M. R., Arranz, J., Rodríguez‐Baz, Í., Maure‐Blesa, L., Videla, L., et al. (2025) · Annals of Neurology · doi:10.1002/ana.27226 · Cited by 6
Ghaderi, S., Mohammadi, S., Fatehi, F., & Initiative, A. D. N. (2025) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.70548 · Cited by 3
Distribution of D-3-aminoisobutyrate-pyruvate aminotransferase in the rat brain
Abe, M., Ochi, S., Mori, Y., Yamazaki, K., Ishimaru, T., Yoshino, Y., Fukuhara, R., Tanimukai, S., Matsuda, S., & Ueno, S. (2014) · BMC Neuroscience · doi:10.1186/1471-2202-15-53 · Cited by 4
Classification and Identification of Alzheimer Disease With Fuzzy Logic Method
Haouas, I., Moussa, M., & Douik, A. (2021) · IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) · doi:10.1109/dts52014.2021.9498257 · Cited by 4
Is the cingulate island sign a marker for early dementia conversion in Parkinson's disease?
Chung, S. J., Kim, S. H., Park, C. W., Lee, H. S., Kim, Y. J., Lee, P. H., Jeong, Y., & Sohn, Y. H. (2023) · European Journal of Neurology · doi:10.1111/ene.16007 · Cited by 4
Chung, S., Choi, M., Kim, H., Lee, J., Park, S. J., Jeong, U., Baek, J., Gim, S., Choi, Y. C., Lee, B.-Y., et al. (2015) · Clinical Anatomy · doi:10.1002/ca.22684 · Cited by 3
Hao, W., Vogt, N. M., Meng, Z., Hwang, S. J., Koscik, R. L., Johnson, S. C., Bendlin, B. B., & Singh, V. (2020) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi45749.2020.9098571 · Cited by 3
Metadata
- Authors
- Villain, N., Desgranges, B., Viader, F., de la Sayette, V., Mezenge, F., Landeau, B., Baron, J.-C., Eustache, F., & Chetelat, G.
- Affiliations
- Inserm (FR)
- University of Cambridge (GB)
- Venue
- Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2008-06-11
- Volume
- 28
- Issue
- 24
- Pages
- 6174-6181
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC2902815
- OpenAlex
- W2050214509
- Cited by
- 366
- References
- 63
- Citations by year
- 2026: 4 · 2025: 15 · 2024: 7 · 2023: 13 · 2022: 11 · 2021: 19 · 2020: 15 · 2019: 16 · 2018: 16 · 2017: 21 · 2016: 25 · 2015: 25 · 2014: 27 · 2013: 38 · 2012: 22
- FWCI
- 21.55
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neuroscience (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion, other-oa)
- Funders
- Institut National de la Santé et de la Recherche Médicale
- Association France Alzheimer
- Région Normandie
- 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 › Functional Brain Connectivity Studies
- Keywords
- Alzheimer's disease, hippocampal atrophy, cingulum, white matter disruption, Papez circuit, memory circuits, thalamus, mammillary bodies, parahippocampal gyrus, posterior association cortex, disconnection hypothesis, glucose hypometabolism
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Atrophy, Brain Mapping, Female, Hippocampus, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Neuroglia, Neurons, Neuropsychological Tests, Statistics as Topic, Case-Control Studies, Fluorodeoxyglucose F18, Positron-Emission Tomography
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