White-matter integrity on DTI and the pathologic staging of Alzheimer’s disease
Open accessAbstract
Pattern of diffusion tensor MRI (DTI) alterations were investigated in pathologically-staged Alzheimer's disease (AD) patients (n = 46). Patients with antemortem DTI studies and a range of AD pathology at autopsy were included. Patients with a high neurofibrillary tangle (NFT) stage (Braak IV-VI) had significantly elevated mean diffusivity (MD) in the crus of fornix and ventral cingulum tracts, precuneus, and entorhinal white matter on voxel-based analysis after adjusting for age and time from MRI to death (p < 0.001). Higher MD and lower fractional anisotropy in the ventral cingulum tract, entorhinal, and precuneus white matter was associated with higher Braak NFT stage and clinical disease severity. There were no MD and fractional anisotropy differences among the low (none and sparse) and high (moderate and frequent) β-amyloid neuritic plaque groups. The NFT pathology of AD is associated with DTI alterations involving the medial temporal limbic connections and medial parietal white matter. This pattern of diffusion abnormalities is also associated with clinical disease severity.
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A combined ante-mortem DTI and post-mortem histochemical analysis in cognitively normal participants found amyloid and tau pathology to be associated with ante-mortem DTI alterations selectively in the medial temporal and parietal white matter.
“In a similar vein, a combined ante-mortem DTI and post-mortem histochemical analysis in brains from cognitively normal participants found amyloid and tau pathology to be associated with ante-mortem DTI alterations selectively in the medial temporal and parietal white matter (Kantarci et al., 2017).”
From White matter diffusion alterations precede symptom onset in autosomal dominant Alzheimer’s disease (2018) · cites this paper as Kantarci et al., 2017
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredThe observed pattern of decreased FA and increased MD, RD, and AD in P301L mice is in good agreement with DTI changes observed in human tauopathies such as progressive supranuclear palsy, frontotemporal dementia, mild cognitive impairment, and Alzheimer's disease.
“In this regard, the observed pattern of decreased FA and increased MD, RD, and AD values in P301L mice in the current study are in good agreement with DTI changes observed in human tauopathies such as progressive supranuclear palsy [21], frontotemporal dementia [22], mild cognitive impairment [24], and Alzheimer`s disease [18,25].”
From Diffusion tensor imaging reveals whole-brain microstructural changes in the P301L mouse model of tauopathy. (2020) · cites this paper as [21]
The Results (section 3.3) and Discussion (section 4) report higher MD and lower FA in specific white-matter regions with more advanced Alzheimer’s pathology, supporting the Alzheimer’s disease comparison. The paper does not report increased RD or AD, so it does not support the full four-measure pattern attributed to the human findings. The other named conditions have separate citations in the citing sentence. (LLM, conf=0.88)
Experimental — accuracy not yet measuredDTI is a powerful noninvasive method widely used for detecting brain microstructural abnormalities associated with Alzheimer's disease.
“DTI is a powerful noninvasive method widely used for detecting brain microstructural abnormalities associated with AD (Kantarci et al., 2017; Falangola et al., 2020; Bergamino et al., 2023).”
From Multimodal MRI combined with RNA sequencing reveals pathological signatures in the 9-month-old 3×Tg-AD mouse brain (2026) · cites this paper as Kantarci et al., 2017
Based on previous findings and preliminary data, no significant asymmetry in DTI measures at any timepoints was expected in untreated mice.
“Based on previous findings and preliminary data, we did not expect to see any significant asymmetry in DTI measures at any timepoints in untreated mice 29.”
From Amyloid-beta induced retrograde axonal degeneration in a mouse tauopathy model (2019) · cites this paper as [29]
The Introduction describes a study of DTI and Alzheimer’s pathology in older adults; its mention of a mouse model concerns myelin loss, not asymmetry. Searches for asymmetry, untreated or control mice, and longitudinal DTI measures found no passage addressing the cited expectation. No page numbers are available in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measuredPrevious work from the authors' lab found no axonal damage in the optic tract or optic nerves after Aβ injection into the LGN of wild type mice.
“Our lab previously has explored the degeneration induced by an Aβ injection in LGN of wild type mice, and we did not find axonal damage in optic tract or optic nerves 29”
From Amyloid-beta induced retrograde axonal degeneration in a mouse tauopathy model (2019) · cites this paper as [29]
The Introduction describes a study of DTI findings in older adults followed to autopsy, not Aβ injections in wild-type mice. Searches for LGN injections, optic tracts, optic nerves, and axonal damage found no passage in our copy reporting the claimed experiment or its result. (LLM, conf=0.76)
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Cites
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · see citing works
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676 · see citing works
No adjustments are needed for multiple comparisons.
Rothman, K. J. (1990) · Epidemiology · doi:10.1097/00001648-199001000-00010 · Cited by 5,965 · see citing works
Diagnosis and management of dementia with Lewy bodies: Third report of the DLB consortium
McKeith, I. G., Dickson, D. W., Lowe, J., Emre, M., O'Brien, J. T., Feldman, H., Cummings, J., Duda, J. E., Lippa, C., Perry, E. K., et al. (2005) · Neurology · doi:10.1212/01.wnl.0000187889.17253.b1 · Cited by 5,069 · see citing works
Self-citationMirra, S. S., Heyman, A., McKeel, D., Sumi, S. M., Crain, B. J., Brownlee, L. M., Vogel, F. S., Hughes, J. P., Belle, G. V., Berg, L., et al. (1991) · Neurology · doi:10.1212/wnl.41.4.479 · Cited by 4,961 · see citing works
A reproducible evaluation of ANTs similarity metric performance in brain image registration
Avants, B. B., Tustison, N. J., Song, G., Cook, P. A., Klein, A., & Gee, J. C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.025 · Cited by 4,796 · see citing works
Jack, C. R., Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S., Shaw, L. M., Vemuri, P., Wiste, H. J., Weigand, S. D., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70291-0 · Cited by 4,396 · see citing works
Self-citationHyman, B. T., Phelps, C. H., Beach, T. G., Bigio, E. H., Cairns, N. J., Carrillo, M. C., Dickson, D. W., Duyckaerts, C., Frosch, M. P., Masliah, E., et al. (2012) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.10.007 · Cited by 3,092 · see citing works
Self-citationMontine, T. J., Phelps, C. H., Beach, T. G., Bigio, E. H., Cairns, N. J., Dickson, D. W., Duyckaerts, C., Frosch, M. P., Masliah, E., Mirra, S. S., et al. (2012) · Acta Neuropathologica · doi:10.1007/s00401-011-0910-3 · Cited by 2,992 · see citing works
Self-citationMixed brain pathologies account for most dementia cases in community-dwelling older persons
Schneider, J. A., Arvanitakis, Z., Bang, W., & Bennett, D. A. (2007) · Neurology · doi:10.1212/01.wnl.0000271090.28148.24 · Cited by 1,992 · 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
Self-citationDipy, a library for the analysis of diffusion MRI data
Garyfallidis, E., Brett, M., Amirbekian, B., Rokem, A., van der Walt, S., Descoteaux, M., Nimmo-Smith, I., & Contributors, D. (2014) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2014.00008 · Cited by 1,371 · see citing works
Jeurissen, B., Leemans, A., Tournier, J., Jones, D. K., & Sijbers, J. (2013) · Human Brain Mapping · doi:10.1002/hbm.22099 · Cited by 1,088 · 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
Self-citationOishi, K., Zilles, K., Amunts, K., Faria, A. V., Jiang, H., Li, X., Akhter, K., Hua, K., Woods, R. P., Toga, A. W., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.07.009 · Cited by 560 · see citing works
Diffusion tensor imaging of cingulum fibers in mild cognitive impairment and Alzheimer disease
Zhang, Y., Schuff, N. W., Jahng, G., Bayne, W., Mori, S., Schad, L. R., Mueller, S. G., Du, A., Kramer, J. H., Yaffe, K. S., et al. (2007) · Neurology · doi:10.1212/01.wnl.0000250326.77323.01 · Cited by 508 · see citing works
White matter changes in mild cognitive impairment and AD: a diffusion tensor imaging study
Medina, D., deToledo-Morrell, L., Urresta, F., Gabrieli, J. D. E., Moseley, M., Fleischman, D., Bennett, D. A., Leurgans, S., Turner, D. A., & Stebbins, G. T. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.03.026 · Cited by 492 · see citing works
MRI correlates of neurofibrillary tangle pathology at autopsy: A voxel-based morphometry study
Whitwell, J. L., Josephs, K. A., Murray, M. E., Kantarci, K., Przybelski, S. A., Weigand, S. D., Vemuri, P., Senjem, M. L., Parisi, J. E., Knopman, D. S., et al. (2008) · Neurology · doi:10.1212/01.wnl.0000324924.91351.7d · Cited by 376 · 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
Ringman, J. M., O'Neill, J., Geschwind, D., Medina, L., Apostolova, L. G., Rodriguez, Y., Schaffer, B., Varpetian, A., Tseng, B., Ortiz, F., et al. (2007) · Brain · doi:10.1093/brain/awm102 · Cited by 290 · see citing works
Gouw, A. A., Seewann, A., Vrenken, H., van der Flier, W. M., Rozemuller, J. M., Barkhof, F., Scheltens, P., & Geurts, J. J. G. (2008) · Brain · doi:10.1093/brain/awn265 · Cited by 281 · see citing works
Fellgiebel, A., Müller, M. J., Wille, P. R., Dellani, P. R., Scheurich, A., Schmidt, L., & Stoeter, P. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2004.11.006 · Cited by 261 · see citing works
Liu, Y., Spulber, G., Lehtimäki, K. K., Könönen, M., Hallikainen, I., Gröhn, H., Kivipelto, M., Hallikainen, M., Vanninen, R., & Soininen, H. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.10.006 · Cited by 236 · see citing works
Stahl, R., Dietrich, O., Teipel, S. J., Hampel, H. J., Reiser, M. F., & Schoenberg, S. O. (2007) · Radiology · doi:10.1148/radiol.2432051714 · Cited by 215 · see citing works
Dementia with Lewy bodies and Alzheimer disease
Kantarci, K., Avula, R. T. V., Senjem, M. L., Samikoglu, A. R., Zhang, B., Weigand, S. D., Przybelski, S. A., Edmonson, H. A., Vemuri, P., Knopman, D. S., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181e0f7cf · Cited by 211 · see citing works
Self-citationTract-specific white matter degeneration in aging. The Rotterdam Study
de Groot, M., Ikram, M. A., Akoudad, S., Krestin, G. P., Hofman, A., van der Lugt, A., Niessen, W. J., & Vernooij, M. W. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.06.011 · Cited by 211 · see citing works
Schwarz, C., Reid, R. I., Gunter, J., Senjem, M., Przybelski, S., Zuk, S., Whitwell, J., Vemuri, P., Josephs, K., Kantarci, K., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.026 · Cited by 171 · see citing works
Self-citationSong, S.-K., Kim, J. H., Lin, S.-J., Brendza, R. P., & Holtzman, D. M. (2004) · Neurobiology of Disease · doi:10.1016/j.nbd.2003.12.003 · Cited by 170 · see citing works
Wang, L., Goldstein, F. C., Veledar, E., Levey, A. I., Lah, J. J., MELTZER, C. C., Holder, C. A., & Mao, H. (2009) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1484 · Cited by 145 · see citing works
Racine, A. M., Adluru, N., Alexander, A. L., Christian, B. T., Okonkwo, O. C., Oh, J., Cleary, C. A., Birdsill, A., Hillmer, A. T., Murali, D., et al. (2014) · NeuroImage: Clinical · doi:10.1016/j.nicl.2014.02.001 · Cited by 136 · see citing works
White matter is altered with parental family history of Alzheimer's disease
Bendlin, B. B., Ries, M. L., Canu, E., Sodhi, A., Lazar, M., Alexander, A. L., Carlsson, C. M., Sager, M. A., Asthana, S., & Johnson, S. C. (2010) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2009.11.003 · Cited by 124 · see citing works
Regional pattern of white matter microstructural changes in normal aging, MCI, and AD
Lee, D. Y., Fletcher, E., Martinez, O., Ortega, M., Zozulya, N., Kim, J., Tran, J., Buonocore, M., Carmichael, O., & DeCarli, C. (2009) · Neurology · doi:10.1212/wnl.0b013e3181c33afb · Cited by 122 · see citing works
Nowrangi, M. A., Lyketsos, C. G., Leoutsakos, J. S., Oishi, K., Albert, M., Mori, S., & Mielke, M. M. (2013) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2012.05.2186 · Cited by 120 · see citing works
Kalus, P., Slotboom, J., Gallinat, J., Mahlberg, R., Cattapan-Ludewig, K., Wiest, R., Nyffeler, T., Buri, C., Federspiel, A., Kunz, D., et al. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.10.035 · Cited by 108 · see citing works
Altered whole-brain white matter networks in preclinical Alzheimer's disease
Fischer, F. U., Wolf, D., Scheurich, A., & Fellgiebel, A. (2015) · NeuroImage: Clinical · doi:10.1016/j.nicl.2015.06.007 · Cited by 105 · see citing works
Thrombogenic microvesicles and white matter hyperintensities in postmenopausal women
Raz, L., Jayachandran, M., Tosakulwong, N., Lesnick, T. G., Wille, S. M., Murphy, M. C., Senjem, M. L., Gunter, J. L., Vemuri, P., Jack, C. R., et al. (2013) · Neurology · doi:10.1212/wnl.0b013e3182840c9f · Cited by 102 · see citing works
Self-citationBendlin, B. B., Carlsson, C. M., Johnson, S. C., Zetterberg, H., Blennow, K., Willette, A. A., Okonkwo, O. C., Sodhi, A., Ries, M. L., Birdsill, A. C., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0037720 · Cited by 91 · see citing works
Kantarci, K., Schwarz, C. G., Reid, R. I., Przybelski, S. A., Lesnick, T. G., Zuk, S. M., Senjem, M. L., Gunter, J. L., Lowe, V., Machulda, M. M., et al. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.1482 · Cited by 88 · see citing works
Self-citationKantarci, K., Petersen, R. C., Przybelski, S. A., Weigand, S. D., Shiung, M. M., Whitwell, J. L., Negash, S., Ivnik, R. J., Boeve, B. F., Knopman, D. S., et al. (2008) · Archives of Neurology · doi:10.1001/archneur.65.12.1621 · Cited by 85 · see citing works
Self-citationAdluru, N., Destiche, D. J., Lu, S. Y.-F., Doran, S. T., Birdsill, A. C., Melah, K. E., Okonkwo, O. C., Alexander, A. L., Dowling, N. M., Johnson, S. C., et al. (2014) · NeuroImage: Clinical · doi:10.1016/j.nicl.2014.04.008 · Cited by 85 · see citing works
Chao, L. L., DeCarli, C. S., Kriger, S., Truran, D., Zhang, Y., Laxamana, J., Villeneuve, S., Jagust, W. J., Sanossian, N., Mack, W. J., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0065175 · Cited by 83 · see citing works
Chua, T. C., Wen, W. X., Chen, X., Kochan, N. A., Slavin, M. J., Trollor, J. N., Brodaty, H., & Sachdev, P. S. (2009) · American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e3181a76e0b · Cited by 80 · see citing works
CSF contamination contributes to apparent microstructural alterations in mild cognitive impairment
Berlot, R., Metzler-Baddeley, C., Jones, D. K., & O'Sullivan, M. J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.031 · Cited by 72 · see citing works
Prescott, J. W., Guidon, A., Doraiswamy, P. M., Choudhury, K. R., Liu, C., Petrella, J. R., & Initiative, A. D. N. (2014) · Radiology · doi:10.1148/radiol.14132593 · Cited by 72 · see citing works
Gold, B. T., Zhu, Z., Brown, C., Andersen, A. H., LaDu, M. J., Tai, L. M., Jicha, G. A., Kryscio, R. J., Estus, S., Nelson, P. T., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.04.030 · Cited by 64 · see citing works
Ray, K. M., Wang, H., Chu, Y., Chen, Y., Bert, A., Hasso, A. N., & Su, M. (2006) · Radiology · doi:10.1148/radiol.2411051051 · Cited by 61 · see citing works
White matter integrity and cortical metabolic associations in aging and dementia
Kuczynski, B., Targan, E., Madison, C. M., Weiner, M. W., Zhang, Y., Reed, B., Chui, H. C., & Jagust, W. J. (2010) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2009.04.1228 · Cited by 56 · see citing works
White matter imaging contributes to the multimodal diagnosis of frontotemporal lobar degeneration
McMillan, C. T., Brun, C., Siddiqui, S. M., Churgin, M., Libon, D. J., Yushkevich, P. A., Zhang, H. G., Boller, A., Gee, J. C., & Grossman, M. (2012) · Neurology · doi:10.1212/wnl.0b013e31825830bd · Cited by 55 · see citing works
Li, X., Li, T., Andreasen, N. C., Wiberg, M. K., Westman, E., & Wahlund, L. (2013) · Journal of Internal Medicine · doi:10.1111/joim.12164 · Cited by 55 · see citing works
Demi̇rhan, A., Nir, T. M., Zavaliangos‐Petropulu, A., Jack, C. R., Weiner, M. W., Bernstein, M. A., Thompson, P. M., & Jahanshad, N. (2015) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2015.7163832 · Cited by 36 · see citing works
Self-citationOuyang, X., Chen, K., Yao, L., Hu, B., Wu, X., Ye, Q., & Guo, X. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.06.031 · Cited by 35 · see citing works
Wolf, D., 1, A. F. A. F. T. A. D. N. I., Fischer, F. U., Scheurich, A., & Fellgiebel, A. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-150049 · Cited by 35 · see citing works
Konukoğlu, E., Coutu, J., Salat, D. H., & Fischl, B. R. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.038 · Cited by 24 · see citing works
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- Kantarci K Schwarz CG Reid RI Przybelski SA Lesnick TG Zuk SM Senjem ML Gunter JL Lowe V Machulda MM Knopman DS Petersen RC Jack CR Jr 2014b White Matter Integrity on DTI, Amyloid Load, and Neurodegeneration in Non-demented Elderly JAMA Neurology in press PMC4810441 25347157
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The cingulum bundle: Anatomy, function, and dysfunction
Bubb, E. J., Metzler-Baddeley, C., & Aggleton, J. P. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.05.008 · Cited by 740 · see citing works
“Likewise, the severity of Alzheimer’s disease can correlate with parahippocampal cingulum FA (Kantarci et al., 2017).”
The human connectome in Alzheimer disease — relationship to biomarkers and genetics
Yu, M., Sporns, O., & Saykin, A. J. (2021) · Nature Reviews Neurology · doi:10.1038/s41582-021-00529-1 · Cited by 265 · see citing works
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 179 · see citing works
“This aim was motivated by recent findings of a close relationship between tau pathology and white matter diffusion alterations (Sydykova et al., 2007; Kantarci et al., 2017; Jacobs et al., 2018), as well as alterations of CSF levels of TREM2, a marker of microglia activity in Alzheimer’s disease (Kleinberger et al.”
BackgroundSelf-citationAlzheimer’s disease: Targeting the glutamatergic system
Conway, M. E. (2020) · Biogerontology · doi:10.1007/s10522-020-09860-4 · Cited by 180 · see citing works
Alirezaei, Z., Pourhanifeh, M. H., Borran, S., Nejati, M., Mirzaei, H., & Hamblin, M. R. (2020) · Molecular Neurobiology · doi:10.1007/s12035-019-01698-3 · Cited by 142 · see citing works
White matter hyperintensities in Alzheimer's disease: Beyond vascular contribution
Garnier‐Crussard, A., Cotton, F., Krolak‐Salmon, P., & Chételat, G. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.13057 · Cited by 139 · see citing works
Zavaliangos-Petropulu, A., Nir, T. M., Thomopoulos, S. I., Reid, R. I., Bernstein, M. A., Borowski, B., Jack Jr., C. R., Weiner, M. W., Jahanshad, N., & Thompson, P. M. (2019) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2019.00002 · Cited by 101 · see citing works
“…recent study that compared NFT stages in ante-mortem MRI and post-mortem tissue; elevated MD DTI and lower FA DTI significantly correlated with higher postmortem NFT stage, particularly in the crus of the fornix, the ventral cingulum tracts, the precuneus, and entorhinal WM (Kantarci et al., 2017).”
Self-citationWhite matter alterations in early‐stage Alzheimer's disease: A tract‐specific study
Wen, Q., Mustafi, S. M., Li, J., Risacher, S. L., Tallman, E., Brown, S. A., West, J. D., Harezlak, J., Farlow, M. R., Unverzagt, F. W., et al. (2019) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2019.06.003 · Cited by 96 · see citing works
Mahaman, Y. A. R., Huang, F., Wu, M., Wang, Y., Wei, Z., Bao, J., Salissou, M. T. M., Ke, D., Wang, Q., Liu, R., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180091 · Cited by 93 · see citing works
Neuroimaging correlates with neuropathologic schemes in neurodegenerative disease
Lowe, V. J., Lundt, E. S., Albertson, S. M., Przybelski, S. A., Senjem, M. L., Parisi, J. E., Kantarci, K., Boeve, B., Jones, D. T., Knopman, D., et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2019.03.016 · Cited by 90 · see citing works
Self-citationAmyloid-beta induced retrograde axonal degeneration in a mouse tauopathy model
Nishioka, C., Liang, H.-F., Barsamian, B., & Sun, S.-W. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.01.007 · Cited by 30 · see citing works
Massalimova, A., Ni, R., Nitsch, R. M., Reisert, M., von Elverfeldt, D., & Klohs, J. (2020) · Neurodegenerative Diseases · doi:10.1159/000515754 · Cited by 28 · see citing works
Cha, W.-J., Yi, D., Ahn, H., Byun, M. S., Chang, Y. Y., Choi, J.-M., Kim, K., Choi, H., Jung, G., Kang, K. M., et al. (2024) · Alzheimer's Research & Therapy · doi:10.1186/s13195-024-01417-8 · Cited by 20 · see citing works
Li, Y., Tang, Z., Yao, M., Ran, Y., & Qiu, Z. (2026) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-25-00006
- Authors
- Kantarci, K., Murray, M. E., Schwarz, C. G., Reid, R. I., Przybelski, S. A., Lesnick, T., Zuk, S. M., Raman, M. R., Senjem, M. L., Gunter, J. L., Boeve, B. F., Knopman, D. S., Parisi, J. E., Petersen, R. C., Jack, C. R., & Dickson, D. W.
- Affiliations
- Mayo Clinic (US)
- Corresponding author
- Kantarci, Kejal
- ORCID
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2017-08
- Volume
- 56
- Pages
- 172-179
- ISSN
- 0197-4580 (ISSN-L)
- PMC
- PMC5523458
- OpenAlex
- W2611281735
- Cited by
- 205
- References
- 53
- Citations by year
- 2026: 14 · 2025: 24 · 2024: 15 · 2023: 20 · 2022: 25 · 2021: 33 · 2020: 32 · 2019: 24 · 2018: 16 · 2017: 2
- FWCI
- 16.63
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Neurobiology of Aging (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (U01 AG06786, R01 AG040042, R01 AG11378, AG041851, C06 RR018898, R01AG034676)
- Elsie and Marvin Dekelboum Family Foundation
- 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
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- Alzheimer's disease, white matter integrity, diffusion tensor imaging, neurofibrillary tangles, Braak staging, mean diffusivity, fractional anisotropy, precuneus, entorhinal cortex, medial temporal lobe, disease severity, pathological staging
- MeSH terms
- Aged, Aged, 80 and over, Aging, Alzheimer Disease, Female, Humans, Male, Middle Aged, Severity of Illness Index, Diffusion Magnetic Resonance Imaging, Diffusion Tensor Imaging, White Matter
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.
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