Parietal cortex matters in Alzheimer's disease: An overview of structural, functional and metabolic findings

Jacobs, Heidi I.L.; Van Boxtel, Martin P.J.; Jolles, Jelle; Verhey, Frans R.J.; Uylings, Harry B.M.

doi:10.1016/j.neubiorev.2011.06.009

Cited by 293Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsNeurological Disease Mechanisms and Treatments

Parietal cortex matters in Alzheimer's disease: An overview of structural, functional and metabolic findings

Jacobs, Heidi I.L., Van Boxtel, Martin P.J., Jolles, Jelle, Verhey, Frans R.J., Uylings, Harry B.M.·2012·Neuroscience & Biobehavioral Reviews

DOI 10.1016/j.neubiorev.2011.06.009

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Abstract

Atrophy of the medial temporal lobe, especially the hippocampus and the parahippocampal gyrus, is considered to be the most predictive structural brain biomarker for Alzheimer's Dementia (AD). However, recent neuroimaging studies reported a possible mismatch between structural and metabolic findings, showing medial temporal lobe atrophy and medial parietal hypoperfusion as biomarkers for AD. The role of the parietal lobe in the development of AD is only recently beginning to attract attention. The current review discusses parietal lobe involvement in the early stages of AD, viz. mild cognitive impairment, as reported from structural, functional, perfusion and metabolic neuroimaging studies. The medial and posterior parts of the parietal lobe seem to be preferentially affected, compared to the other parietal lobe parts. On the basis of the reviewed literature we propose a model showing the relationship between the various pathological events, as measured by different neuroimaging techniques, in the development of AD. In this model myelin breakdown is a beginning of the chain of pathological events leading to AD pathology and an AD diagnosis.

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Multimodal imaging in mild cognitive impairment: Metabolism, morphometry and diffusion of the temporal–parietal memory network
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Abnormal Integrity of Corticocortical Tracts in Mild Cognitive Impairment: A Diffusion Tensor Imaging Study
Cho, H., Yang, D. W., Shon, Y. M., Kim, B.-S., Kim, Y.-I., Choi, Y. B., Lee, K. S., Shim, Y. S., Yoon, B., Kim, W., et al. (2008) · Journal of Korean Medical Science · doi:10.3346/jkms.2008.23.3.477 · Cited by 96 · see citing works
Temporoparietal MR Imaging Measures of Atrophy in Subjects with Mild Cognitive Impairment That Predict Subsequent Diagnosis of Alzheimer Disease
Desikan, R. S., Cabral, H. J., Fischl, B., Guttmann, C. R. G., Blacker, D., Hyman, B. T., Albert, M. S., & Killiany, R. J. (2009) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1397 · Cited by 94 · see citing works
Voxel- and VOI-based analysis of SPECT CBF in relation to clinical and psychological heterogeneity of mild cognitive impairment
Huang, C. C., Wahlund, L., Almkvist, O., Elehu, D., Svensson, L. A., Jonsson, T., Winblad, B. G., & Julin, P. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00168-x · Cited by 94 · see citing works
MRI measures of temporoparietal regions show differential rates of atrophy during prodromal AD
Desikan, R. S., Fischl, B. R., Cabral, H., Kemper, T. L., Guttmann, C. R. G., Blacker, D., Hyman, B. T., Albert, M., & Killiany, R. (2008) · Neurology · doi:10.1212/01.wnl.0000320055.57329.34 · Cited by 93 · see citing works
Functional MRI assessment of task-induced deactivation of the default mode network in Alzheimer's disease and at-risk older individuals.
Pihlajamaki, M. M., & Sperling, R. A. (2009) · PubMed · doi:10.3233/ben-2009-0231 · Cited by 90 · 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
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
Functional magnetic resonance imaging changes in amnestic and nonamnestic mild cognitive impairment during encoding and recognition tasks
Machulda, M. M., Senjem, M. L., Weigand, S. D., Smith, G. E., Ivnik, R. J., Boeve, B. F., Knopman, D. S., Petersen, R. C., & Jack, C. R. (2009) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617709090523 · Cited by 86 · see citing works
Cerebral perfusion correlates of conversion to Alzheimer's disease in amnestic mild cognitive impairment
Caroli, A., Testa, C., Geroldi, C., Nobili, F. M., Barnden, L. R., Guerra, U. P., Bonetti, M., & Frisoni, G. B. (2007) · Journal of Neurology · doi:10.1007/s00415-007-0631-7 · Cited by 85 · see citing works
Regional cerebral blood flow assessed with 99mTc-ECD SPET as a marker of progression of mild cognitive impairment to Alzheimer's disease
Encinas, M., de Juan, R., Marcos, A., Gil, P., Barabash, A., Fernández, C., de Ugarte, C., & Cabranes, J. A. (2003) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-003-1277-z · Cited by 85 · see citing works
Multiple indicators of age-related differences in cerebral white matter and the modifying effects of hypertension
Burgmans, S., van Boxtel, M. P. J., Gronenschild, E. H. B. M., Vuurman, E. F. P. M., Hofman, P. A. M., Uylings, H. B. M., Jolles, J., & Raz, N. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.035 · Cited by 85 · see citing works
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Selective Disruption of the Cerebral Neocortex in Alzheimer's Disease
Desikan, R. S., Sabuncu, M. R., Schmansky, N. J., Reuter, M., Cabral, H., Hess, C. P., Weiner, M. W., Biffi, A., Anderson, C. D., Rosand, J. M., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012853 · Cited by 85 · see citing works
Neural correlates of emotional working memory in patients with mild cognitive impairment
Döhnel, K., Sommer, M., Ibach, B., Rothmayr, C., Meinhardt, J., & Hajak, G. (2007) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2007.08.012 · Cited by 76 · see citing works
Event-related functional magnetic resonance imaging investigation of executive control in very old individuals with mild cognitive impairment
Rosano, C., Aizenstein, H. J., Cochran, J. L., Saxton, J. A., Kosky, S. T. D., Newman, A. B., Kuller, L. H., López, O. L., & Carter, C. S. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.12.031 · Cited by 76 · see citing works
Potential role of diffusion tensor MRI in the differential diagnosis of mild cognitive impairment and Alzheimer's disease.
Parente, D., Gasparetto, E., da Cruz, L. C. H., Domingues, R. C., Baptista, A. C., Carvalho, A. C., & Domingues, R. (2008) · AJR. American journal of roentgenology · doi:10.2214/ajr.07.2617 · Cited by 75 · see citing works
The association between white matter hyperintensities and executive decline in mild cognitive impairment is network dependent
Jacobs, H. I. L., Visser, P. J., van Boxtel, M. P. J., Frisoni, G. B., Tsolaki, M., Papapostolou, P., Nobili, F. M., Wahlund, L., Minthon, L., Frölich, L., et al. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.07.015 · Cited by 75 · see citing works
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Atrophy of the parietal lobe in preclinical dementia
Jacobs, H. I. L., van Boxtel, M. P. J., Uylings, H. B. M., Gronenschild, E. H. B. M., Verhey, F. R. J., & Jolles, J. (2010) · Brain and Cognition · doi:10.1016/j.bandc.2010.11.003 · Cited by 73 · see citing works
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Reduced neuronal efficacy in progressive mild cognitive impairment: A prospective fMRI study on visuospatial processing
Vannini, P., Almkvist, O., Dierks, T., Lehmann, C. U., & Wahlund, L. (2007) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2007.02.003 · Cited by 68 · see citing works
Single photon emission computed tomography perfusion differences in mild cognitive impairment
Johnson, K. A., Moran, E. K., Becker, J. A., Blacker, D., Fischman, A. J., & Albert, M. (2006) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2006.096800 · Cited by 64 · see citing works
Advances and perspectives from genetic research: development of biological markers in Alzheimer’s disease
Zetzsche, T., Rujescu, D., Hardy, J., & Hampel, H. J. (2010) · Expert Review of Molecular Diagnostics · doi:10.1586/erm.10.48 · Cited by 61 · see citing works
Differences in grey and white matter atrophy in amnestic mild cognitive impairment and mild Alzheimer’s disease
Balthazar, M. L. F., Yasuda, C. L., Pereira, F., Pedro, T., Damasceno, B. P., & Cendes, F. (2008) · European Journal of Neurology · doi:10.1111/j.1468-1331.2008.02408.x · Cited by 60 · see citing works
Brain SPECT in subtypes of mild cognitive impairment
Nobili, F. M., Frisoni, G. B., Portet, F., Verhey, F. R. J., Rodriguez, G., Caroli, A., Touchon, J., Calvini, P., Morbelli, S. D., Carli, F. D., et al. (2008) · Journal of Neurology · doi:10.1007/s00415-008-0897-4 · Cited by 59 · see citing works
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Abnormal integrity of association fiber tracts in amnestic mild cognitive impairment
Bai, F., Zhang, Z., Watson, D. R., Yu, H., Shi, Y., Yuan, Y., Qian, Y., & Jia, J. (2009) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2008.12.009 · Cited by 59 · see citing works
Cerebral white matter lesions in patients with dementia – from MCI to severe Alzheimer's disease
Targosz-Gajniak, M., Siuda, J. S., Ochudlo, S., & Opala, G. (2009) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2009.02.314 · Cited by 59 · see citing works
Cortical Thickness Analysis to Detect Progressive Mild Cognitive Impairment: A Reference to Alzheimer’s Disease
Julkunen, V., Niskanen, E. I., Muehlboeck, S., Pihlajamaki, M. M., Könönen, M., Hallikainen, M., Kivipelto, M., Tervo, S., Vanninen, R. L., Evans, A. C., et al. (2009) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000256274 · Cited by 59 · see citing works
Preclinical evidence of Alzheimer changes in progressive mild cognitive impairment: a qualitative and quantitative SPECT study
Ishiwata, A., Sakayori, O., Minoshima, S., Mizumura, S., Kitamura, S., & Katayama, Y. (2006) · Acta Neurologica Scandinavica · doi:10.1111/j.1600-0404.2006.00661.x · Cited by 54 · see citing works
SPECT Predictors of Cognitive Decline and Alzheimer's Disease in Mild Cognitive Impairment
Nobili, F. M., Carli, F. D., Frisoni, G. B., Portet, F., Verhey, F. R. J., Rodriguez, G., Caroli, A., Touchon, J., Morbelli, S. D., Guerra, U. P., et al. (2009) · Journal of Alzheimer s Disease · doi:10.3233/jad-2009-1091 · Cited by 46 · see citing works
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Amyloid PET in mild cognitive impairment and Alzheimer’s disease with BF-227: comparison to FDG–PET
Furukawa, K., Okamura, N., Tashiro, M., Waragai, M., Furumoto, S., Iwata, R., Yanai, K., Kudo, Y., & Arai, H. (2009) · Journal of Neurology · doi:10.1007/s00415-009-5396-8 · Cited by 45 · see citing works
White matter hyperintensities and medial temporal lobe atrophy in clinical subtypes of mild cognitive impairment: the DESCRIPA study
van de Pol, L. A., Verhey, F. R. J., Frisoni, G. B., Tsolaki, M., Papapostolou, P., Nobili, F. M., Wahlund, L., Minthon, L., Frölich, L., Hampel, H. J., et al. (2009) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2008.158881 · Cited by 45 · see citing works
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Altered neural network supporting declarative long-term memory in mild cognitive impairment
Poettrich, K., Weiss, P. H., Werner, A., Lux, S., Donix, M., Gerber, J. C., von Kummer, R., Fink, G. R., & Holthoff‐Detto, V. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.05.027 · Cited by 41 · see citing works
Postmortem studies of the effect of anti-inflammatory drugs on Alzheimer-type pathology and associated inflammation
Mackenzie, I. R. (2001) · Neurobiology of Aging · doi:10.1016/s0197-4580(01)00304-9 · Cited by 35 · see citing works
Differential Patterns of Hypoperfusion in Subtypes of Mild Cognitive Impairment
Caffarra, P., Ghetti, C., Concari, L., & Venneri, A. (2008) · The Open Neuroimaging Journal · doi:10.2174/1874440000802010020 · Cited by 34 · see citing works
Magnetization transfer imaging of gray and white matter in mild cognitive impairment and Alzheimer's disease
van Es, A. C. G. M., van der Flier, W. M., Admiraal-Behloul, F., Olofsen, H., Bollen, E. L. E. M., Middelkoop, H. A. M., Weverling-Rijnsburger, A. W. E., Westendorp, R. G. J., & van Buchem, M. A. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.042 · Cited by 33 · see citing works
99mTc Hexamethyl-Propylene-Aminoxime Single-Photon Emission Computed Tomography Prediction of Conversion From Mild Cognitive Impairment to Alzheimer Disease
Heertum, R. L. V., Liu, X., Rusinek, H., Pratap, M., Prohovnik, I., Stern, Y., Mann, J. J., Parsey, R. V., Devanand, D. P., Kegeles, L. S., et al. (2010) · American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e3181ec8696 · Cited by 33 · see citing works
CSF biomarker pathology correlates with a medial temporo-parietal network affected by very mild to moderate Alzheimer's disease but not a fronto-striatal network affected by healthy aging
Fjell, A. M., Amlien, I. K., Westlye, L. T., Stenset, V. T. V., Fladby, T., Skinningsrud, A., Eilsertsen, D. E., Bjørnerud, A., & Walhovd, K. B. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.029 · Cited by 32 · see citing works
Brain Perfusion Correlates of Visuoperceptual Deficits in Mild Cognitive Impairment and Mild Alzheimer's Disease
Alegret, M., Vinyes‐Junque, G., Boada, M., Martínez‐Lage, P., Cuberas‐Borrós, G., Espinosa, A., Roca, I., Hernández, I., Valero, S., Rosende‐Roca, M., et al. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-091069 · Cited by 32 · see citing works
Cognitive Impairment No Dementia – Neuropsychological and Neuroimaging Characterization of an Amnestic Subgroup
Jacova, C., Peters, K. R., Beattie, B. L., Wong, E. B., Riddehough, A., Foti, D. J., Scheltens, P., Li, D. K. B., & Feldman, H. (2008) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000115848 · Cited by 27 · see citing works
Changes in Cortical Activation during Retrieval of Clock Time Representations in Patients with Mild Cognitive Impairment and Early Alzheimer’s Disease
Leyhe, T., Erb, M., Milian, M., Eschweiler, G. W., Ethofer, T., Grodd, W., & Saur, R. (2009) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000197930 · Cited by 26 · see citing works
Functional connectivity of the hippocampus in elderly with mild memory dysfunction carrying the APOE ɛ4 allele
David Bartrés-faz, A., Serra-Grabulosa, J. M., Sun, F. T., Solé‐Padullés, C., Rami, L., Molinuevo, J. L., Bosch, B., Mercader, J. M., Bargalló, N., Falcón, C., et al. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.04.021 · Cited by 25 · see citing works
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 · see citing works
SPECT imaging of GABAA/benzodiazepine receptors and cerebral perfusion in mild cognitive impairment
Pappatà, S., Varrone, A., Vicidomini, C., Milan, G., Falco, C. D., Sansone, V., Iavarone, A., Comerci, M., Loré, E., Panico, M., et al. (2010) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-010-1409-1 · Cited by 18 · see citing works

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Memory loss in Alzheimer's disease
Jahn, H. (2013) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2013.15.4/hjahn · Cited by 653 · see citing works
The cerebellum in Alzheimer’s disease: evaluating its role in cognitive decline
Jacobs, H. I. L., Hopkins, D. A., Mayrhofer, H. C., Bruner, E., van Leeuwen, F. W., Raaijmakers, W., & Schmahmann, J. D. (2017) · Brain · doi:10.1093/brain/awx194 · Cited by 339 · see citing works
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Regional White Matter Hyperintensity Volume, Not Hippocampal Atrophy, Predicts Incident Alzheimer Disease in the Community
Brickman, A. M., Provenzano, F. A., Muraskin, J., Manly, J. J., Blum, S., Apa, Z. L., Stern, Y., Brown, T. R., Luchsinger, J. A., & Mayeux, R. P. (2012) · Archives of Neurology · doi:10.1001/archneurol.2012.1527 · Cited by 252 · see citing works
High‐order resting‐state functional connectivity network for MCI classification
Chen, X., Zhang, H., Gao, Y., Chong-yaw Wee, A., Li, G., Shen, D. G., & Initiative, T. A. D. N. (2016) · Human Brain Mapping · doi:10.1002/hbm.23240 · Cited by 242 · see citing works
A single-nuclei RNA sequencing study of Mendelian and sporadic AD in the human brain
Del-Aguila, J. L., Li, Z., Dube, U., Mihindukulasuriya, K. A., Budde, J. P., Fernandez, M. V., Ibanez, L., Bradley, J., Wang, F., Bergmann, K., et al. (2019) · Alzheimer's Research & Therapy · doi:10.1186/s13195-019-0524-x · Cited by 183 · see citing works
The neuroprotective effects of bilingualism upon the inferior parietal lobule: A Structural Neuroimaging Study in Aging Chinese Bilinguals
Abutalebi, J., Canini, M., Rosa, P. A. D., Green, D. W., & Weekes, B. (2014) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2014.09.008 · Cited by 188 · see citing works
Bilingualism, dementia, cognitive and neural reserve
Perani, D., & Abutalebi, J. (2015) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000267 · Cited by 168 · see citing works
Genome-wide scan of healthy human connectome discovers SPON1 gene variant influencing dementia severity
Jahanshad, N., Rajagopalan, P., Hua, X., Hibar, D. P., Nir, T. M., Toga, A. W., Jack, C. R., Saykin, A. J., Green, R. C., Weiner, M. W., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1216206110 · Cited by 152 · see citing works
Assessment of ZnT3 and PSD95 protein levels in Lewy body dementias and Alzheimer's disease: association with cognitive impairment
Whitfield, D., Vallortigara, J., Alghamdi, A., Howlett, D. R., Hortobágyi, T., Johnson, M., Attems, J., Newhouse, S., Ballard, C. G., Thomas, A. J., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.06.015 · Cited by 141 · see citing works
New MRI markers for Alzheimer’s disease: a meta-analysis of diffusion tensor imaging and a comparison with medial temporal lobe measurements
Clerx, L., Visser, P. J., Verhey, F., & Aalten, P. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-110797 · Cited by 132 · see citing works
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Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment
Yin, C., Imms, P. E., Cheng, M., Amgalan, A., Chowdhury, N. F., Massett, R. J., Chaudhari, N. N., Chen, X., Thompson, P. M., Bogdan, P., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2214634120 · Cited by 124 · see citing works
Voxel-based meta-analysis of grey matter changes in Alzheimer’s disease
Wang, W., Yu, J., Liu, Y., Yin, R., Wang, H.-F., Wang, J., Tan, L., Raduà, J., & Tan, L. (2015) · Translational Neurodegeneration · doi:10.1186/s40035-015-0027-z · Cited by 124 · see citing works
Meta-analysis of functional network alterations in Alzheimer's disease: Toward a network biomarker
Jacobs, H. I. L., Raduà, J., Lückmann, H. C., & Sack, A. T. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.03.009 · Cited by 114 · see citing works
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The effect of white matter hyperintensities on neurodegeneration in mild cognitive impairment
Tosto, G., Zimmerman, M. E., Hamilton, J. L., Carmichael, O. T., Brickman, A. M., & Initiative, A. D. N. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2015.05.014 · Cited by 112 · see citing works
Can visuospatial measures improve the diagnosis of Alzheimer's disease?
Salimi, S., Irish, M., Foxe, D., Hodges, J. R., Piguet, O., & Burrell, J. R. (2017) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2017.10.004 · Cited by 109 · see citing works
Functional Disintegration of the Default Mode Network in Prodromal Alzheimer’s Disease
Dillen, K. N. H., Jacobs, H. I. L., Kukolja, J., Richter, N., von Reutern, B., Onur, O. A., Langen, K., & Fink, G. R. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-161120 · Cited by 108 · see citing works
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Measurements of medial temporal lobe atrophy for prediction of Alzheimer's disease in subjects with mild cognitive impairment
Clerx, L., van Rossum, I. A., Burns, L., Knol, D. L., Scheltens, P., Verhey, F., Aalten, P., Lapuerta, P., van de Pol, L., van Schijndel, R., et al. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.02.002 · Cited by 98 · see citing works
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Neuro-degeneration profile of Alzheimer's patients: A brain morphometry study
Filho, S. R. B. D. S., Barbosa, J. H. O., Rondinoni, C., dos Santos, A. C., Salmón, C. E. G., Lima, N. K. D. C., Ferriolli, E., & Moriguti, J. C. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.04.001 · Cited by 96 · see citing works
Cognitive benefits of exercise interventions: an fMRI activation likelihood estimation meta-analysis
Yu, Q., Herold, F., Becker, B., Klugah‐Brown, B., Zhang, Y., Perrey, S., Veronese, N., Müller, N. G., Kramer, A. F., & Zou, L. (2021) · Brain Structure and Function · doi:10.1007/s00429-021-02247-2 · Cited by 98 · see citing works
Regional Cerebral Blood Flow during Wakeful Rest in Older Subjects with Mild to Severe Obstructive Sleep Apnea
Baril, A., Gagnon, K., Arbour, C., Soucy, J., Montplaisir, J. Y., Gagnon, J., & Gosselin, N. (2015) · SLEEP · doi:10.5665/sleep.4986 · Cited by 93 · see citing works
3D Multimodal Fusion Network With Disease-Induced Joint Learning for Early Alzheimer’s Disease Diagnosis
Qiu, Z., Yang, P., Xiao, C., Wang, S., Xiao, X., Qin, J., Liu, C.-M., Wang, T., & Lei, B. (2024) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2024.3386937 · Cited by 90 · see citing works
Alzheimer's Disease: The Downside of a Highly Evolved Parietal Lobe?
Bruner, E., & Jacobs, H. I. L. (2013) · Journal of Alzheimer's Disease · doi:10.3233/jad-122299 · Cited by 87 · see citing works
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Functional craniology and brain evolution: from paleontology to biomedicine
Bruner, E., de la CuÃ©tara, J. M., Masters, M., Amano, H., & Ogihara, N. (2014) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2014.00019 · Cited by 87 · see citing works
Corpus callosal atrophy and associations with cognitive impairment in Parkinson disease
Goldman, J. G., Bledsoe, I. O., Merkitch, D., Dinh, V., Bernard, B. A., & Stebbins, G. T. (2017) · Neurology · doi:10.1212/wnl.0000000000003764 · Cited by 85 · see citing works
RNA-Seq analysis of the parietal cortex in Alzheimer's disease reveals alternatively spliced isoforms related to lipid metabolism
Mills, J. D., Nalpathamkalam, T., Jacobs, H. I. L., Janitz, C., Merico, D., Hu, P., & Janitz, M. (2013) · Neuroscience Letters · doi:10.1016/j.neulet.2012.12.042 · Cited by 82 · see citing works
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MRI Markers for Mild Cognitive Impairment: Comparisons between White Matter Integrity and Gray Matter Volume Measurements
Zhang, Y., Schuff, N. W., Camacho, M. R., Chao, L. L., Fletcher, T. P., Yaffe, K. S., Woolley, S. C., Madison, C. A., Rosen, H. J., Miller, B. L., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066367 · Cited by 82 · see citing works
Aberrant functional connectivity differentiates retrosplenial cortex from posterior cingulate cortex in prodromal Alzheimer's disease
Dillen, K. N. H., Jacobs, H. I. L., Kukolja, J., von Reutern, B., Richter, N., Onur, Ö. A., Dronse, J., Langen, K.-J., & Fink, G. R. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.04.010 · Cited by 82 · see citing works
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Robust Identification of Alzheimer’s Disease subtypes based on cortical atrophy patterns
Park, J.-Y., Na, H. K., Kim, S. S., Kim, H., Kim, H. J., Seo, S. W., Na, D. L., Han, C. E., Seong, J., Initiative, A. D. N., et al. (2017) · Scientific Reports · doi:10.1038/srep43270 · Cited by 80 · see citing works
EEG Window Length Evaluation for the Detection of Alzheimer’s Disease over Different Brain Regions
Tzimourta, K. D., Giannakeas, N., Tzallas, A. T., Astrakas, L. G., Afrantou, T., Ioannidis, P., Grigoriadis, N., Angelidis, P., Tsalikakis, D. G., & Tsipouras, M. G. (2019) · Brain Sciences · doi:10.3390/brainsci9040081 · Cited by 79 · see citing works
Aging-associated sensory decline and Alzheimer’s disease
Hong, S., Baek, S.-H., Lai, M. K. P., Arumugam, T. V., & Jo, D.-G. (2024) · Molecular Neurodegeneration · doi:10.1186/s13024-024-00776-y · Cited by 76 · see citing works
APOE2 orchestrated differences in transcriptomic and lipidomic profiles of postmortem AD brain
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AD Course Map charts Alzheimer’s disease progression
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Authors: Jacobs, H. I. L., Van Boxtel, M. P. J., Jolles, J., Verhey, F. R. J., & Uylings, H. B. M.
Affiliations: Maastricht University (NL)
Corresponding author: Jacobs, Heidi I.L.
ORCID: Jacobs, Heidi I.L.
Verhey, Frans R.J.
Venue: Neuroscience & Biobehavioral Reviews
Publisher: Elsevier BV
Published: 2012-01
Volume: 36
Issue: 1
Pages: 297-309
ISSN: 0149-7634 (ISSN-L)
DOI: 10.1016/j.neubiorev.2011.06.009
OpenAlex: W2119341498
Cited by: 293
References: 202
Citations by year: 2026: 16 · 2025: 40 · 2024: 28 · 2023: 28 · 2022: 25 · 2021: 21 · 2020: 15 · 2019: 15 · 2018: 11 · 2017: 17 · 2016: 9 · 2015: 12 · 2014: 21 · 2013: 22 · 2012: 12
FWCI: 2.30
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Neuroscience & Biobehavioral Reviews (publishedVersion)
PubMed (publishedVersion)
Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
VU Research Portal (publishedVersion)
Research Publications (Maastricht University) (submittedVersion)
Pure Amsterdam UMC (submittedVersion)
Data Archiving and Networked Services (DANS) (submittedVersion)
Topics: Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
Keywords: Alzheimer's disease, parietal lobe, medial temporal lobe atrophy, hippocampus, parahippocampal gyrus, mild cognitive impairment, brain metabolism, myelin breakdown, neuroimaging biomarkers
MeSH terms: Alzheimer Disease, Cognition Disorders, Humans, Models, Biological, Parietal Lobe, Radionuclide Imaging, Retrospective Studies, PubMed, Neuroimaging

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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 ›

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Parietal cortex matters in Alzheimer's disease: An overview of structural, functional and metabolic findings

Abstract

Integrity signals

Claims the paper makes

Claims other papers make about this one

Cites

Cited by

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Record

About these checks