The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
White Matter Damage in Alzheimer Disease and Its Relationship to Gray Matter Atrophy
Abstract
PURPOSE: To explore the regional patterns of white matter (WM) tract damage in (a) patients with probable Alzheimer disease (AD) and (b) patients with amnestic mild cognitive impairment (aMCI) and at least one abnormal biomarker and to investigate whether WM damage is related to gray matter (GM) atrophy. MATERIALS AND METHODS: This study was approved by the institutional review board, and written informed consent was obtained from each participant. Twenty-three patients with AD, 15 patients with aMCI, and 15 healthy control subjects underwent diffusion tensor magnetic resonance imaging. WM tract damage was investigated by using tract-based spatial statistics, and GM atrophy was measured by using voxel-based morphometry. RESULTS: Compared with control subjects, patients with AD had an increase in mean diffusivity in all major WM tracts studied, including the limbic, cortico-cortical, interhemispheric, and corticospinal tracts. Conversely, fractional anisotropy decreased only in the parahippocampal tract, fornix, and small, inferior parietal regions. In addition, patients with AD showed a widespread increase in axial and radial diffusivity compared with control subjects. Patients with aMCI showed an increase in axial diffusivity only in tracts projecting to the frontal cortex and splenium of the corpus callosum. Significant and anatomically congruent correlations between WM changes and regional GM atrophy were found in patients with AD. Conversely, damage to most WM tracts in patients with aMCI did not correlate with GM atrophy. CONCLUSION: In AD, the observed patterns of WM abnormalities may reflect the advanced phase of a secondary degenerative process and an association, especially in the early phases of the disease, with primary WM tract damage over and above GM abnormalities.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“Such white matter alterations cannot be fully accounted for as degenerative processes secondary to grey matter damage (Brun and Englund, 1986; Englund, 1998; Agosta et al., 2011), but may stem from vascular amyloid deposition and microvascular damage (Weller et al., 2009).”
From White matter diffusion alterations precede symptom onset in autosomal dominant Alzheimer’s disease (2018) · cites this paper as Agosta et al., 2011
Citations
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
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
VALIDITY OF THE TRAIL MAKING TEST AS AN INDICATOR OF ORGANIC BRAIN DAMAGE
Reitan, R. M. (1958) · Perceptual and Motor Skills · doi:10.2466/pms.1958.8.3.271 · Cited by 8,167
A fast diffeomorphic image registration algorithm
Ashburner, J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.007 · Cited by 8,122
Ashburner, J., & Friston, K. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.018 · Cited by 7,507
Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
Smith, S. M., Jenkinson, M., Johansen‐Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E., Watkins, K. E., Ciccarelli, O., Cader, M. Z., Matthews, P. M., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.024 · Cited by 6,598
Nonparametric permutation tests for functional neuroimaging: A primer with examples
Nichols, T. E., & Holmes, A. P. (2002) · Human Brain Mapping · doi:10.1002/hbm.1058 · Cited by 6,256
SMITH, S., & NICHOLS, T. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.061 · Cited by 5,250
Maldjian, J. A., Laurienti, P. J., Kraft, R., & Burdette, J. H. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00169-1 · Cited by 5,066
Research works printed but not linked: 7
- Salat DH, Neurobiol Aging
- Stenset V, Neurobiol Aging
- Barigazzi R, 1987, Ric Psicol, 1, 50
- Novelli G, 1986, Arch Psicol Neurol Psichiatr, 47, 477
- Spinnler H, 1987, Ital J Neurol Sci, 6, 1
- Ferreira LK, Neurobiol Aging
- Pievani M, Hum Brain Mapp
Cited by
Sorted by citations
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-citationEffectiveness of regional DTI measures in distinguishing Alzheimer’s disease, MCI, and normal aging
Nir, T. M., Jahanshad, N., Villalon-Reina, J. E., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.07.006 · Cited by 348
Skrobot, O. A., Attems, J., Esiri, M. M., Hortobágyi, T., Ironside, J. W., Kalaria, R. N., King, A., Lammie, G. A., Mann, D. M. A., Neal, J., et al. (2016) · Brain · doi:10.1093/brain/aww214 · Cited by 331
How and how not to correct for CSF-contamination in diffusion MRI
Metzler-Baddeley, C., O'Sullivan, M. J., Bells, S., Pasternak, O., & Jones, D. K. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.043 · Cited by 291
McAleese, K. E., Walker, L., Graham, S., Moya, E. L. J., Johnson, M. A., Erskine, D., Colloby, S. J., Dey, M., Martin-Ruiz, C. M., Taylor, J., et al. (2017) · Acta Neuropathologica · doi:10.1007/s00401-017-1738-2 · Cited by 280
Is Alzheimer’s disease a systemic disease?
Morris, J. K., Honea, R. A., Vidoni, E. D., Swerdlow, R. H., & Burns, J. M. (2014) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2014.04.012 · Cited by 219
Amlien, I. K., & Fjell, A. M. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.02.017 · Cited by 219
Alzheimer disease: new concepts on its neurobiology and the clinical role imaging will play
Jack, C. R. (2012) · Radiology · doi:10.1148/radiol.12110433 · Cited by 211
Multimodal neuroimaging in post-COVID syndrome and correlation with cognition
Díez‐Cirarda, M., Yus, M., Gómez‐Ruiz, N., Polidura, C., Gil‐Martínez, L., Delgado‐Alonso, C., Jorquera, M., Gómez‐Pinedo, U., Matías‐Guiu, J., Arrazola, J., et al. (2022) · Brain · doi:10.1093/brain/awac384 · Cited by 221
Dyrba, M., Grothe, M. J., Kirste, T., & Teipel, S. J. (2015) · Human Brain Mapping · doi:10.1002/hbm.22759 · Cited by 188
White matter damage in frontotemporal lobar degeneration spectrum
Agosta, F., Scola, E., Canu, E., Marcone, A., Magnani, G., Sarro, L., Copetti, M., Caso, F., Cerami, C., Comi, G., et al. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr288 · Cited by 180
Self-citationIncreased White Matter Inflammation in Aging- and Alzheimer’s Disease Brain
Raj, D., Yin, Z., Breur, M., Doorduin, J., Holtman, I. R., Olah, M., Mantingh-Otter, I. J., Van Dam, D., De Deyn, P. P., den Dunnen, W., et al. (2017) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2017.00206 · Cited by 180
Douaud, G., Menke, R. A. L., Gass, A., Monsch, A. U., Rao, A., Whitcher, B., Zamboni, G., Matthews, P. M., Sollberger, M., & Smith, S. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.4437-12.2013 · Cited by 180
White matter diffusion alterations precede symptom onset in autosomal dominant Alzheimer’s disease
Araque Caballero, M. Á., Suárez-Calvet, M., Duering, M., Franzmeier, N., Benzinger, T., Fagan, A. M., Bateman, R. J., Jack, C. R., Levin, J., Dichgans, M., et al. (2018) · Brain · doi:10.1093/brain/awy229 · Cited by 184
Functional network connectivity in the behavioral variant of frontotemporal dementia
Filippi, M., Agosta, F., Scola, E., Canu, E., Magnani, G., Marcone, A., Valsasina, P., Caso, F., Copetti, M., Comi, G., et al. (2013) · Cortex · doi:10.1016/j.cortex.2012.09.017 · Cited by 177
Self-citationAxo-myelinic neurotransmission: a novel mode of cell signalling in the central nervous system
Micu, I., Plemel, J. R., Caprariello, A. V., Nave, K., & Stys, P. K. (2017) · Nature reviews. Neuroscience · doi:10.1038/nrn.2017.128 · Cited by 166
Cortical tau load is associated with white matter hyperintensities
McAleese, K. E., Firbank, M., Dey, M., Colloby, S. J., Walker, L., Johnson, M., Beverley, J. R., Taylor, J. P., Thomas, A. J., O’Brien, J. T., et al. (2015) · Acta Neuropathologica Communications · doi:10.1186/s40478-015-0240-0 · Cited by 161
Yang, J., Pan, P., Song, W., Huang, R., Li, J., Chen, K., Gong, Q., Zhong, J., Shi, H., & Shang, H. (2012) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2012.02.010 · Cited by 157
Longitudinal changes in microstructural white matter metrics in Alzheimer's disease
Mayo, C. D., Mazerolle, E. L., Ritchie, L. J., Fisk, J. D., & Gawryluk, J. R. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.12.012 · Cited by 159
In vivo imaging of neuroinflammation in schizophrenia
Pasternak, O., Kubicki, M. R., & Shenton, M. E. (2015) · Schizophrenia Research · doi:10.1016/j.schres.2015.05.034 · Cited by 156
Reduced White Matter Integrity Is Related to Cognitive Instability
Fjell, A. M., Westlye, L. T., Amlien, I. K., & Walhovd, K. B. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.4735-11.2011 · Cited by 152
Peters, D. G., Connor, J. R., & Meadowcroft, M. D. (2015) · Neurobiology of Disease · doi:10.1016/j.nbd.2015.08.007 · Cited by 147
EFNS task force: the use of neuroimaging in the diagnosis of dementia
Filippi, M., Agosta, F., Barkhof, F., Dubois, B., Fox, N. C., Frisoni, G. B., Jack, C. R., Johannsen, P., Miller, B. L., Nestor, P. J., et al. (2012) · European Journal of Neurology · doi:10.1111/j.1468-1331.2012.03859.x · Cited by 141
Self-citationPost-mortem assessment in vascular dementia: advances and aspirations
McAleese, K. E., Alafuzoff, I. I., Charidimou, A., Reuck, J. D., Grinberg, L. T., Hainsworth, A. H., Hortobágyi, T., Ince, P. G., Jellinger, K. A., Gao, J., et al. (2016) · BMC Medicine · doi:10.1186/s12916-016-0676-5 · Cited by 144
Sub-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
Is Alzheimer’s a disease of the white matter?
Sachdev, P. S., Zhuang, L., Braidy, N., & Wen, W. (2013) · Current Opinion in Psychiatry · doi:10.1097/yco.0b013e32835ed6e8 · Cited by 137
Zhuang, L., Sachdev, P. S., Trollor, J. N., Reppermund, S., Kochan, N. A., Brodaty, H., & Wen, W. X. (2013) · PLoS ONE · doi:10.1371/journal.pone.0058887 · Cited by 142
DTI analyses and clinical applications in Alzheimer’s disease
Oishi, K., Mielke, M. M., Albert, M., Lyketsos, C. G., & Mori, S. (2011) · Journal of Alzheimer's Disease · doi:10.3233/jad-2011-0007 · Cited by 134
Microstructural white matter changes in cognitively normal individuals at risk of amnestic MCI
Zhuang, L., Sachdev, P. S., Trollor, J. N., Kochan, N. A., Reppermund, S., Brodaty, H., & Wen, W. (2012) · Neurology · doi:10.1212/wnl.0b013e3182661f4d · Cited by 125
Shu, N., Liang, Y., Li, H., Zhang, J., Li, X., Wang, L. Y., Yong He, A., Wang, Y., & Zhang, Z. (2012) · Radiology · doi:10.1148/radiol.12112361 · Cited by 123
Conner, A. K., Briggs, R. G., Sali, G., Rahimi, M., Baker, C. M., Burks, J. D., Glenn, C. A., Battiste, J. D., & Sughrue, M. E. (2018) · Operative Neurosurgery · doi:10.1093/ons/opy267 · Cited by 121
O'Dwyer, L., Lamberton, F., Bokde, A. L. W., Ewers, M., Faluyi, Y. O., Tanner, C., Mazoyer, B., O'Neill, D., Bartley, M., Collins, D. R., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021745 · Cited by 119
Haller, S., Badoud, S., Nguyen, D. D., Garibotto, V., Lövblad, K., & Burkhard, P. R. (2012) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3126 · Cited by 116
Agosta, F., Dalla Libera, D., Spinelli, E. G., Finardi, A., Canu, E., Bergami, A., Bocchio Chiavetto, L., Baronio, M., Comi, G., Martino, G., et al. (2014) · Annals of Neurology · doi:10.1002/ana.24235 · Cited by 113
Self-citationShiva Keihaninejad, A., Zhang, H. G., Ryan, N. S., Malone, I. B., Marc Modat, A., Cardoso, M. J., Cash, D. M., Fox, N. C., & Sebastien Ourselin, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.01.044 · Cited by 111
Diffusion-MRI in neurodegenerative disorders
Goveas, J., O’Dwyer, L., Mascalchi, M., Cosottini, M., Diciotti, S., De Santis, S., Passamonti, L., Tessa, C., Toschi, N., & Giannelli, M. (2015) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2015.04.006 · Cited by 104
Park, M., & Moon, W. (2016) · Korean Journal of Radiology · doi:10.3348/kjr.2016.17.6.827 · Cited by 104
Dyrba, M., Barkhof, F., Fellgiebel, A., Filippi, M., Hausner, L., Hauenstein, K., Kirste, T., Teipel, S. J., & the EDSD study group (2015) · Journal of Neuroimaging · doi:10.1111/jon.12214 · Cited by 99
Self-citationWidespread white matter degeneration preceding the onset of dementia
Maier-Hein, K. H., Westin, C., Shenton, M. E., Weiner, M. W., Raj, A., Thomann, P. A., Kikinis, R., Stieltjes, B., & Pasternak, O. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.04.518 · Cited by 89
Structural networks in Alzheimer's disease
Reid, A., & Evans, A. C. (2013) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2012.11.010 · Cited by 94
Perivascular space fluid contributes to diffusion tensor imaging changes in white matter
Sepehrband, F., Cabeen, R. P., Choupan, J., Barisano, G., Law, M., Toga, A. W., & Initiative, T. A. D. N. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2019.04.070 · Cited by 88
Levit, A., Hachinski, V., & Whitehead, S. N. (2020) · GeroScience · doi:10.1007/s11357-020-00164-6 · Cited by 96
Zhu, T., Zhong, J., Hu, R. M., Tivarus, M. E., EKHOLM, S. E., Harezlak, J., Ombao, H., NAVIA, B. A., Cohen, R. A., & Schifitto, G. (2012) · Journal of NeuroVirology · doi:10.1007/s13365-012-0135-9 · Cited by 88
Shiva Keihaninejad, A., Ryan, N. S., Malone, I. B., Marc Modat, A., Cash, D. M., Ridgway, G. R., Zhang, H. G., Fox, N. C., & Sebastien Ourselin, A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0045996 · Cited by 85
White matter alterations in Parkinson’s disease with normal cognition precede grey matter atrophy
Rektor, I., Svátková, A., Vojtíšek, Ľ., Zikmundová, I., Vaníček, J., Király, A., & Szabó, N. (2018) · PLoS ONE · doi:10.1371/journal.pone.0187939 · Cited by 83
Dissecting the Fornix in Basic Memory Processes and Neuropsychiatric Disease: A Review
Benear, S. L., Ngo, C. T., & Olson, I. R. (2020) · Brain Connectivity · doi:10.1089/brain.2020.0749 · Cited by 95
Andersson, E., Janelidze, S., Lampinen, B., Nilsson, M., Leuzy, A., Stomrud, E., Blennow, K., Zetterberg, H., & Hansson, O. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.07.018 · Cited by 80
Collins-Praino, L. E., Francis, Y. I., Griffith, E. Y., Wiegman, A. F., Urbach, J., Lawton, A., Honig, L. S., Cortes, E., Vonsattel, J. P. G., Canoll, P. D., et al. (2014) · Acta Neuropathologica Communications · doi:10.1186/s40478-014-0083-0 · Cited by 79
Stem-, Spraak- en Taalpathologie
(2019) · Stem- Spraak- en Taalpathologie · doi:10.21827/5ce671ea62a92 · Cited by 80
Alves, G. S., Knöchel, V. O., Knöchel, C., Carvalho, A. F., Pantel, J., Engelhardt, E., & Laks, J. (2015) · BioMed Research International · doi:10.1155/2015/291658 · Cited by 78
Greater Attenuation of Retinal Nerve Fiber Layer Thickness in Alzheimer's Disease Patients
Shi, Z., Wu, Y., Wang, M., Cao, J., Feng, W. G., Cheng, Y., Li, C., & Shen, Y. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-131898 · Cited by 74
Alzheimer’s disease and the fornix
Oishi, K., & Lyketsos, C. G. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00241 · Cited by 76
Owen, J. E., Benediktsdóttir, B., Gíslason, Þ., & Robinson, S. R. (2018) · SLEEP · doi:10.1093/sleep/zsy199 · Cited by 72
Chapleau, M., Aldebert, J., Montembeault, M., & Brambati, S. M. (2016) · Journal of Alzheimer's Disease · doi:10.3233/jad-160382 · Cited by 73
DTI measurements for Alzheimer’s classification
Maggipinto, T., Bellotti, R., Amoroso, N., Diacono, D., Donvito, G., Lella, E., Monaco, A., Antonella Scelsi, M., Tangaro, S., & Initiative, A. D. N. (2017) · Physics in Medicine & Biology · doi:10.1088/1361-6560/aa5dbe · Cited by 70
Storsve, A. B., Fjell, A. M., Yendiki, A., & Walhovd, K. B. (2016) · PLoS ONE · doi:10.1371/journal.pone.0156770 · Cited by 71
Vecchio, F., Miraglia, F., Curcio, G., Altavilla, R., Scrascia, F., Giambattistelli, F., Quattrocchi, C. C., Bramanti, P., Vernieri, F., & Rossini, P. M. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-142484 · Cited by 68
White Matter Degeneration in Atypical Alzheimer Disease
Caso, F., Agosta, F., Mattavelli, D., Migliaccio, R., Canu, E., Magnani, G., Marcone, A., Copetti, M., Falautano, M., Comı, G., et al. (2015) · Radiology · doi:10.1148/radiol.2015142766 · Cited by 69
Self-citationDong, J. W., Jelescu, I. O., Ades-Aron, B., Novikov, D. S., Friedman, K., Babb, J. S., Osorio, R. S., Galvin, J. E., Shepherd, T. M., & Fieremans, E. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.01.009 · Cited by 70
Zhang, B., Xu, Y., Zhu, B., & Kantarci, K. (2013) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.12166 · Cited by 70
White-matter free-water diffusion MRI in schizophrenia: A systematic review and meta-analysis
Carreira Figueiredo, I., Borgan, F., Pasternak, O., Turkheimer, F. E., & Howes, O. D. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-022-01272-x · Cited by 65
Iron Pathophysiology in Alzheimer’s Diseases
Wang, T., Xu, S.-F., Fan, Y.-G., Li, L.-B., & Guo, C. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-981-13-9589-5_5 · Cited by 64
Wang, Q., Wang, Y., Liu, J., Sutphen, C. L., Cruchaga, C., Blazey, T., Gordon, B. A., Su, Y., Chen, C., Shimony, J. S., et al. (2019) · NeuroImage: Clinical · doi:10.1016/j.nicl.2019.101767 · Cited by 63
Makedonov, I., Black, S. E., & MacIntosh, B. J. (2013) · European Journal of Neurology · doi:10.1111/j.1468-1331.2012.03785.x · Cited by 62
Cui, Y. J., Wen, W. X., Lipnicki, D. M., Beg, M. F., Jin, J. S., Luo, S., Zhu, W., Kochan, N. A., Reppermund, S., Zhuang, L., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.013 · Cited by 62
Altamura, C., Scrascia, F., Quattrocchi, C. C., Errante, Y., Gangemi, E., Curcio, G., Ursini, F., Silvestrini, M., Maggio, P., Zobel, B. B., et al. (2016) · Journal of Clinical Neurology · doi:10.3988/jcn.2016.12.2.201 · Cited by 57
Relationship between apathy and diffusion tensor imaging metrics of the brain in Alzheimer's disease
Ota, M., Sato, N., Nakata, Y., Arima, K., & Uno, M. (2012) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2779 · Cited by 58
Agosta, F., Weiler, M., & Filippi, M. (2015) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.12410 · Cited by 56
Self-citationNeuroanatomical correlates of verbal fluency in early Alzheimer’s disease and normal aging
Rodríguez‐Aranda, C., Waterloo, K. K., Johnsen, S. H., Eldevik, P., Sparr, S., Wikran, G., Herder, M., & Vangberg, T. R. (2016) · Brain and Language · doi:10.1016/j.bandl.2016.03.001 · Cited by 57
Binette, A. P., Theaud, G., Rheault, F., Roy, M., Collins, D. L., Levin, J., Mori, H., Lee, J. H., Farlow, M. R., Schofield, P. R., et al. (2021) · eLife · doi:10.7554/elife.62929 · Cited by 60
Haller, S., Missonnier, P., Herrmann, F. R., Rodriguez, C. K., Deiber, M., Nguyen, D. D., Gold, G., Lövblad, K., & Giannakopoulos, P. (2012) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3223 · Cited by 56
Cerebral Small Vessel Disease in Sporadic and Familial Alzheimer Disease
Kalaria, R. N., & Falla, D. S. (2021) · American Journal Of Pathology · doi:10.1016/j.ajpath.2021.07.004 · Cited by 56
White matter involvement in sporadic Creutzfeldt-Jakob disease
Caverzasi, E., Mandelli, M. L., DeArmond, S. J., Hess, C. P., Vitali, P., Papinutto, N., Oehler, A., Miller, B. L., Lobach, I. V., Bastianello, S., et al. (2014) · Brain · doi:10.1093/brain/awu298 · Cited by 54
Complex spatial and temporally defined myelin and axonal degeneration in Huntington disease
Rosas, H. D., Wilkens, P. J., Salat, D. H., Mercaldo, N. D., Vangel, M. G., Yendiki, A., & Hersch, S. M. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.01.029 · Cited by 54
Gray Matter Atrophy in Amnestic Mild Cognitive Impairment: A Voxel-Based Meta-Analysis
Zhang, J., Liu, Y., Lan, K., Huang, X., He, Y., Yang, F., Li, J., Hu, Q., Xu, J., & Yu, H. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.627919 · Cited by 59
Möller, C., Hafkemeijer, A., Pijnenburg, Y. A. L., Rombouts, S. A. R. B., van der Grond, J., Dopper, E. G. P., Swieten, J. C. V., Versteeg, A., Pouwels, P. J. W., Barkhof, F., et al. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.08.022 · Cited by 52
Qi, R., Zhang, L. J., Zhong, J., Zhu, T., Zhang, Z., Xu, C., Zheng, G., & Lu, G. (2013) · European Radiology · doi:10.1007/s00330-013-2963-2 · Cited by 52
Five-Year Longitudinal Brain Volume Change in Healthy Elders at Genetic Risk for Alzheimer’s Disease
Reiter, K. E., Nielson, K. A., Durgerian, S., Woodard, J. L., Smith, J. C., Seidenberg, M., Kelly, D. A., & Rao, S. M. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160504 · Cited by 52
Shu, N., Wang, Z., Qi, Z., Li, K., & Yong He, A. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-0024 · Cited by 51
Quantitative MRI to understand Alzheimer's disease pathophysiology
Bozzali, M., Serra, L., & Cercignani, M. (2016) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000345 · Cited by 51
Targeting Mitochondrial Bioenergetics for Alzheimers Prevention and Treatment
Yao, J., & Brinton, R. D. (2011) · Current Pharmaceutical Design · doi:10.2174/138161211798072517 · Cited by 50
Caso, F., Agosta, F., & Filippi, M. (2015) · Neurodegenerative Diseases · doi:10.1159/000441422 · Cited by 47
Self-citationImplications of white matter damage in amyotrophic lateral sclerosis
Zhou, T., Ahmad, T. K., Gozda, K., Truong, J. L., Kong, J., & Namaka, M. (2017) · Molecular Medicine Reports · doi:10.3892/mmr.2017.7186 · Cited by 51
Jitsuishi, T., & Yamaguchi, A. (2022) · Scientific Reports · doi:10.1038/s41598-022-08231-y · Cited by 47
Diffuse Interstitial Brain Edema in Patients With End-Stage Renal Disease Undergoing Hemodialysis
Kong, X., Wen, J., Qi, R., Luo, S. J., Zhong, J., Chen, H., Ji, G., Lu, G., & Zhang, L. J. (2014) · Medicine · doi:10.1097/md.0000000000000313 · Cited by 47
Oishi, K., Akhter, K., Mielke, M. M., Ceritoglu, C., Zhang, J., Jiang, H., Li, X., Laurent Younes, B., Miller, M. I., van Zijl, P. C. M., et al. (2011) · Frontiers in Neurology · doi:10.3389/fneur.2011.00054 · Cited by 44
Abnormalities of the Fornix in Mild Cognitive Impairment are Related to Episodic Memory Loss
Zhuang, L., Wen, W. X., Trollor, J. N., Kochan, N. A., Reppermund, S., Brodaty, H., & Sachdev, P. S. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-111766 · Cited by 46
Parker, C. S., Veale, T. D., Bocchetta, M., Slattery, C. F., Malone, I. B., Thomas, D. L., Schott, J. M., Cash, D. M., Zhang, H., & Initiative, A. D. N. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118749 · Cited by 43
Liu, J., Yin, C., Xia, S., Jia, L., Guo, Y., Zhao, Z., Li, X., Han, Y., & Jia, J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0059440 · Cited by 43
Huynh, K., Piguet, O., Kwok, J., Dobson-Stone, C., Halliday, G. M., Hodges, J. R., & Landin-Romero, R. (2021) · Neurology · doi:10.1212/wnl.0000000000011638 · Cited by 43
Multimodal Voxel-Based Meta-Analysis of White Matter Abnormalities in Alzheimer’s Disease
Yin, R.-H., Tan, L., Liu, Y., Wang, W.-Y., Wang, H.-F., Jiang, T., Raduà, J., Zhang, Y., Gao, J., Canu, E., et al. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150139 · Cited by 42
Self-citationQuantitative T2 mapping of white matter: applications for ageing and cognitive decline
Knight, M. J., McCann, B., Tsivos, D., Dillon, S., Coulthard, E. J., & Kauppinen, R. A. (2016) · Physics in Medicine and Biology · doi:10.1088/0031-9155/61/15/5587 · Cited by 44
White matter microstructural damage in Alzheimer's disease at different ages of onset
Canu, E., Agosta, F., Spinelli, E. G., Magnani, G., Marcone, A., Scola, E., Falautano, M., Comi, G., Falini, A., & Filippi, M. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.03.026 · Cited by 42
Self-citationMicrostructural brain changes track cognitive decline in mild cognitive impairment
Reas, E. T., Hagler, D. J., White, N. S., Kuperman, J. M., Bartsch, H., Wierenga, C. E., Galasko, D. R., Brewer, J. B., Dale, A. M., & McEvoy, L. K. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.09.027 · Cited by 39
Microenvironmental interactions of oligodendroglial cells
Yalçın, B., & Monje, M. (2021) · Developmental Cell · doi:10.1016/j.devcel.2021.06.006 · Cited by 45
Structural hippocampal network alterations during healthy aging: a multi-modal MRI study
Pelletier, A., Periot, O., Dilharreguy, B., Hiba, B., Bordessoules, M., Pérès, K., Amieva, H., Dartigues, J., Michèle Allard, A., & Catheline, G. (2013) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2013.00084 · Cited by 43
Fletcher, E. M., Carmichael, O. T., Pasternak, O., Maier-Hein, K. H., & DeCarli, C. S. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00106 · Cited by 42
Weiler, M., Agosta, F., Canu, E., Copetti, M., Magnani, G., Marcone, A., Pagani, E., Balthazar, M. L. F., Comı, G., Falini, A., et al. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150196 · Cited by 40
Self-citationAltered Superficial White Matter on Tractography MRI in Alzheimer's Disease
Reginold, W., Luedke, A. C., Itorralba, J., Fernández-Ruíz, J., Islam, O., & Garcia, A. A. (2016) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000446770 · Cited by 40
Li, X., & Zhang, Z. (2015) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.12391 · Cited by 45
Metadata
- Authors
- Agosta, F., Pievani, M., Sala, S., Geroldi, C., Galluzzi, S., Frisoni, G. B., & Filippi, M.
- Affiliations
- IRCCS Ospedale San Raffaele (IT)
- Centro San Giovanni di Dio Fatebenefratelli (IT)
- Vita-Salute San Raffaele University (IT)
- ORCID
- Venue
- Radiology
- Published
- 2011-03
- Volume
- 258
- Issue
- 3
- Pages
- 853-863
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W2168463796
- Cited by
- 288
- References
- 53
- Citations by year
- 2026: 8 · 2025: 13 · 2024: 12 · 2023: 21 · 2022: 11 · 2021: 17 · 2020: 24 · 2019: 14 · 2018: 17 · 2017: 11 · 2016: 27 · 2015: 25 · 2014: 19 · 2013: 26 · 2012: 26
- FWCI
- 14.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Radiology (publishedVersion)
- PubMed (publishedVersion)
- Archivio Istituzionale della Ricerca - Università Vita-Salute San Raffaele (submittedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Keywords
- Alzheimer's disease, white matter injury, gray matter atrophy, amnestic mild cognitive impairment, diffusion tensor imaging, mean diffusivity, fractional anisotropy, axial and radial diffusivity, white matter tracts, corticospinal tract, fornix, corpus callosum, tract-based spatial statistics, voxel-based morphometry
- MeSH terms
- Aged, Alzheimer Disease, Atrophy, Cognition Disorders, Female, Humans, Male, Nerve Fibers, Myelinated, Neuropsychological Tests, Prospective Studies, Biomarkers, Case-Control Studies, Statistics, Nonparametric, Diffusion Magnetic Resonance 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