The DOI matches its Crossref record; 50 of the 52 references it cites were found in a registry or an index.
Diffusion tensor imaging detects age-dependent white matter changes in a transgenic mouse model with amyloid deposition
Open accessAbstract
Increasing evidence demonstrates that there is marked damage and dysfunction not only in the gray matter but also in the white matter in Alzheimer's disease (AD). In this study, transgenic mice overexpressing beta-amyloid precursor protein (APP) under control of the platelet-derived growth factor promoter (PDAPP mice) were examined using diffusion tensor magnetic resonance imaging (DTI) to evaluate the extent of white matter injury before and following the development of AD-like pathology. The profile of DTI parameters was significantly different in old PDAPP mice compared to that of old control mice following the development of AD-like pathology. No difference in DTI parameters was observed between the young PDAPP and control mice. Our results suggest that as amyloid beta (Abeta) deposition and levels increase over time in PDAPP mice, these changes lead to primary or secondary white matter injury that can be detected by DTI.
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
“The effects of amyloid plaques, the other hallmark pathology of AD, have been investigated in previous studies (Song et al., 2004, Sun et al., 2005) where differences in DTI parameters have been observed at late time points after the appearance of amyloid plaques.”
From In vivo imaging of tau pathology using multi-parametric quantitative MRI (2015) · cites this paper as Song et al., 2004
In the citing paper
“These observations raise the prospect that degeneration could be initiated through synaptic or axonal mechanisms, independent of apoptosis, a mechanism which has been widely studied in other model systems, such as spinal cord injury and Multiple Sclerosis 59–61.”
From Amyloid-beta induced retrograde axonal degeneration in a mouse tauopathy model (2019) · cites this paper as [59]
In the citing paper
“Our dMRI results are generally consistent with those reported using other mouse models of AD [31–35].”
From Brain microstructure abnormalities in the 3xTg-AD mouse – A diffusion MRI and morphology correlation study (2022) · cites this paper as [31]
Citations
Cites
Basser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306
Diffusion tensor MR imaging of the human brain
Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996) · Radiology · doi:10.1148/radiology.201.3.8939209 · Cited by 2,664
Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water
Song, S.-K., Sun, S.-W., Ramsbottom, M. J., Chang, C., Russell, J., & Cross, A. H. (2002) · NeuroImage · doi:10.1006/nimg.2002.1267 · Cited by 2,582
Self-citationAlzheimer-type neuropathology in transgenic mice overexpressing V717F β-amyloid precursor protein
Games, D., Adams, D., Alessandrini, R., Barbour, R., Borthelette, P., Blackwell, C., Carr, T., Clemens, J., Donaldson, T., Gillespie, F., et al. (1995) · Nature · doi:10.1038/373523a0 · Cited by 2,516
Apoptosis in the nervous system
Yuan, J., & Yankner, B. A. (2000) · Nature · doi:10.1038/35037739 · Cited by 1,882
de Leeuw, F.-E. (2001) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.70.1.9 · Cited by 1,291
A white matter disorder in dementia of the Alzheimer type: A pathoanatomical study
Brun, A., & Englund, E. (1986) · Annals of Neurology · doi:10.1002/ana.410190306 · Cited by 1,014
Mandelkow, E. (1998) · Trends in Cell Biology · doi:10.1016/s0962-8924(98)01368-3 · Cited by 980
Holtzman, D. M., Bales, K. R., Tenkova, T., Fagan, A. M., Parsadanian, M., Sartorius, L. J., Mackey, B., Olney, J., McKeel, D., Wozniak, D., et al. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.050004797 · Cited by 937
Self-citationEvidence for cortical “disconnection” as a mechanism of age-related cognitive decline
O'Sullivan, M. J., Jones, D. K., Summers, P. E., Morris, R. G., Williams, S., & Markus, H. S. (2001) · Neurology · doi:10.1212/wnl.57.4.632 · Cited by 828
Cited by
Sorted by citations
A revised limbic system model for memory, emotion and behaviour
Catani, M., Dell’Acqua, F., & de Schotten, M. T. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.07.001 · Cited by 813
Cerebral White Matter Integrity and Cognitive Aging: Contributions from Diffusion Tensor Imaging
Madden, D. J., Bennett, I. J., & Song, A. W. (2009) · Neuropsychology Review · doi:10.1007/s11065-009-9113-2 · Cited by 495
Donald, C. L. M., Dikranian, K. T., Bayly, P. V., Holtzman, D. M., & Brody, D. L. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.3647-07.2007 · Cited by 435
Self-citationCiccarelli, O., Catani, M., Johansen‐Berg, H., Clark, C. A., & Thompson, A. J. (2008) · The Lancet Neurology · doi:10.1016/s1474-4422(08)70163-7 · Cited by 418
MACDONALD, C., Dikranian, K. T., SONG, S., Bayly, P. V., HOLTZMAN, D., & BRODY, D. (2007) · Experimental Neurology · doi:10.1016/j.expneurol.2007.01.035 · Cited by 300
Self-citationDesai, M. K., Sudol, K. L., Janelsins, M. C., Mastrangelo, M. A., Frazer, M. E., & Bowers, W. J. (2009) · Glia · doi:10.1002/glia.20734 · Cited by 266
Wozniak, J. R., & Lim, K. O. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.003 · Cited by 257
Detecting axon damage in spinal cord from a mouse model of multiple sclerosis
Kim, J. H., Budde, M. D., Liang, H.-F., Klein, R. S., Russell, J. H., Cross, A. H., & Song, S.-K. (2006) · Neurobiology of Disease · doi:10.1016/j.nbd.2005.09.009 · Cited by 235
Self-citationDesai, M. K., Mastrangelo, M. A., Ryan, D. A., Sudol, K. L., Narrow, W. C., & Bowers, W. J. (2010) · The American Journal of Pathology · doi:10.2353/ajpath.2010.100087 · Cited by 232
Parkinson Disease: Diagnostic Utility of Diffusion Kurtosis Imaging
Wang, J., Lin, W., Lu, C., Weng, Y.-H., Ng, S., Wang, C., Liu, H., Hsieh, R.-H., Wan, Y., & Wai, Y. (2011) · Radiology · doi:10.1148/radiol.11102277 · Cited by 227
Kanaan, N. M., Pigino, G. F., Brady, S. T., Lazarov, O., Binder, L. I., & Morfini, G. A. (2012) · Experimental Neurology · doi:10.1016/j.expneurol.2012.06.003 · Cited by 215
Diffusion tensor imaging in early Alzheimer's disease.
Naggara, O., Oppenheim, C., Rieu, D., Raoux, N., Rodrigo, S., Barba, G. D., & Meder, J. (2006) · Psychiatry Research · doi:10.1016/j.pscychresns.2006.01.005 · Cited by 218
White-matter integrity on DTI and the pathologic staging of Alzheimer’s disease
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., et al. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.04.024 · Cited by 205
Lowe, M. J., Beall, E. B., Sakaie, K. E., Koenig, K. A., Stone, L., Marrie, R. A., & Phillips, M. D. (2008) · Human Brain Mapping · doi:10.1002/hbm.20576 · Cited by 196
Bartels, A. L., Kortekaas, R., Bart, J., Willemsen, A. T. M., de Klerk, O. L., de Vries, J. J., van Oostrom, J. C. H., & Leenders, K. L. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.02.002 · Cited by 163
In vivo axonal transport rates decrease in a mouse model of Alzheimer's disease
Smith, K. D. B., Kallhoff, V., Zheng, H., & Pautler, R. G. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.01.046 · Cited by 153
Tract-specific white matter structural disruption in patients with bipolar disorder
Benedetti, F., Absinta, M., Rocca, M. A., Radaelli, D., Poletti, S., Bernasconi, A., Dallaspezia, S., Pagani, E., Falini, A., Copetti, M., et al. (2011) · Bipolar Disorders · doi:10.1111/j.1399-5618.2011.00938.x · Cited by 143
In vivo serial diffusion tensor imaging of experimental spinal cord injury
Deo, A. A., Grill, R. J., Hasan, K. M., & Narayana, P. A. (2006) · Journal of Neuroscience Research · doi:10.1002/jnr.20783 · Cited by 138
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
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
Shimony, J. S., Sheline, Y. I., D’Angelo, G., Epstein, A. A., Benzinger, T. L. S., Mintun, M. A., McKinstry, R. C., & Snyder, A. Z. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.02.032 · Cited by 132
Boska, M. D., Hasan, K. M., Kibuule, D., Banerjee, R., McIntyre, E. M., Nelson, J. A., Hahn, T., Gendelman, H. E., & Mosley, R. L. (2007) · Neurobiology of Disease · doi:10.1016/j.nbd.2007.02.010 · Cited by 130
Neurodegeneration and Neuro-Regeneration—Alzheimer’s Disease and Stem Cell Therapy
Vasić, V., Barth, K., & Schmidt, M. H. H. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20174272 · Cited by 129
Biomarkers in Alzheimer's disease drug development
Cummings, J. L. (2011) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2010.06.004 · Cited by 122
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
Sun, S.-W., Song, S.-K., Harms, M. P., Lin, S.-J., Holtzman, D. M., Merchant, K. M., & Kotyk, J. J. (2005) · Experimental Neurology · doi:10.1016/j.expneurol.2004.09.006 · Cited by 121
Self-citationIn Vivo mouse imaging and spectroscopy in drug discovery
Beckmann, N., Kneuer, R., Gremlich, H., Karmouty‐Quintana, H., Blé, F., & Müller, M. (2007) · NMR in Biomedicine · doi:10.1002/nbm.1153 · Cited by 118
Duan, J., Wang, H., Xu, J., Lin, X. Z., Chen, S., Kang, Z., & Yao, Z. (2006) · Surgical and Radiologic Anatomy · doi:10.1007/s00276-006-0111-2 · Cited by 115
B-value dependence of DTI quantitation and sensitivity in detecting neural tissue changes
Hui, E. S. K., Cheung, M. M., Chan, K. C., & Wu, E. X. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.022 · Cited by 114
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
In vivo MRI and histological evaluation of brain atrophy in APP/PS1 transgenic mice
Delatour, B., Guégan, M., Volk, A., & Dhénain, M. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.04.011 · Cited by 106
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
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
MRI is a sensitive marker of subtle white matter pathology in hypoperfused mice
Holland, P. R., Bastin, M. E., Jansen, M. A., Merrifield, G. D., Coltman, R., Scott, F., Nowers, H., Khallout, K., Marshall, I., Wardlaw, J. M., et al. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.11.009 · Cited by 102
Abnormal white matter integrity in healthy apolipoprotein E epsilon4 carriers
Nierenberg, J. J., Pomara, N., Hoptman, M. J., Sidtis, J. J., Ardekani, B. A., & Lim, K. O. (2005) · Neuroreport · doi:10.1097/01.wnr.0000174058.49521.16 · Cited by 98
In vivo imaging of tau pathology using multi-parametric quantitative MRI
Wells, J. A., O'Callaghan, J. M., Holmes, H. E., Powell, N. M., Johnson, R. A., Siow, B., Torrealdea, F., Ismail, O., Walker-Samuel, S., Golay, X., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.023 · Cited by 93
DTI abnormalities in anterior corpus callosum of rats with spike–wave epilepsy
Chahboune, H., Mishra, A. K., Desalvo, M. N., Staib, L. H., Purcaro, M. J., Scheinost, D., Papademetris, X., Fyson, S. J., Lörincz, M. L., Crunelli, V., et al. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.04.060 · Cited by 93
White matter and cognitive function in schizophrenia
Dwork, A. J., Mancevski, B., & Rosoklija, G. B. (2007) · The International Journal of Neuropsychopharmacology · doi:10.1017/s1461145707007638 · Cited by 92
Myelin changes at the early stage of 5XFAD mice
Gu, L., Wu, D., Tang, X., Qi, X., Li, X., Bai, F., Chen, X., Ren, Q., & Zhang, Z. (2018) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2017.12.013 · Cited by 87
The Fornix in Mild Cognitive Impairment and Alzheimer’s Disease
Nowrangi, M. A., & Rosenberg, P. B. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00001 · Cited by 87
Impact of fatty acids on brain circulation, structure and function
Haast, R. A. M., & Kiliaan, A. J. (2014) · Prostaglandins Leukotrienes and Essential Fatty Acids · doi:10.1016/j.plefa.2014.01.002 · Cited by 89
Revealing nanostructures in brain tissue via protein decrowding by iterative expansion microscopy
Sarkar, D., Kang, J., Wassie, A. T., Schroeder, M. E., Peng, Z., Tarr, T. B., Tang, A., Niederst, E. D., Young, J. Z., Su, H., et al. (2022) · Nature Biomedical Engineering · doi:10.1038/s41551-022-00912-3 · Cited by 105
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 85
Wang, S., Wu, E. X., Tam, C. N., Lau, H.-F., Cheung, P., & Khong, P. (2008) · Stroke · doi:10.1161/strokeaha.107.509927 · Cited by 85
Imaging of cerebrovascular pathology in animal models of Alzheimer's disease
Klohs, J., Rudin, M., Shimshek, D. R., & Beckmann, N. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00032 · Cited by 82
Sarne, Y., Toledano, R., Rachmany, L., Sasson, E., & Doron, R. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.09.025 · Cited by 83
Alzheimer's Disease and Amyloid: Culprit or Coincidence?
Skaper, S. D. (2012) · International review of neurobiology · doi:10.1016/b978-0-12-386986-9.00011-9 · Cited by 82
Desai, M. K., Guercio, B. J., Narrow, W. C., & Bowers, W. J. (2011) · Glia · doi:10.1002/glia.21131 · Cited by 78
Quantitative Cortical Mapping of Fractional Anisotropy in Developing Rat Brains
Huang, H., Yamamoto, A., Hossain, M. A., Laurent Younes, B., & Mori, S. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.3194-07.2008 · Cited by 74
Neuroimaging of White Matter in Aging and Dementia
Malloy, P. F., Correia, S., Stebbins, G. T., & Laidlaw, D. H. (2006) · The Clinical Neuropsychologist · doi:10.1080/13854040500263583 · Cited by 72
Hasan, K. M., & Narayana, P. A. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20935 · Cited by 73
Multiple inflammatory profiles of microglia and altered neuroimages in APP/PS1 transgenic AD mice
Liu, L., Liu, Y., Li, N., Huang, R., Zheng, X., Huang, L., Hou, S.-X., & Yuan, Q. (2020) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2020.01.003 · Cited by 71
Magnetic resonance imaging for detection and analysis of mouse phenotypes
Nieman, B. J., Bock, N. A., Bishop, J., Chen, X., Sled, J. G., Rossant, J., & Henkelman, R. M. (2005) · NMR in Biomedicine · doi:10.1002/nbm.981 · Cited by 69
Pahnke, J., Walker, L. C., Scheffler, K., & Krohn, M. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.05.006 · Cited by 68
Genetic and environmental influences on cortical mean diffusivity
Elman, J. A., Panizzon, M. S., Hagler, D. J., Fennema‐Notestine, C., Eyler, L. T., Gillespie, N. A., Neale, M. C., Lyons, M. J., Franz, C. E., McEvoy, L. K., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.032 · Cited by 65
Wu, D., Tang, X., Gu, L., Li, X., Qi, X., Bai, F., Chen, X., Wang, J., Ren, Q., & Zhang, Z. (2018) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.12809 · Cited by 64
Rieckmann, A., Dijk, K. R. A. V., Sperling, R. A., Johnson, K. A., Buckner, R. L., & Hedden, T. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.03.016 · Cited by 67
Chahboune, H., Ment, L. R., Stewart, W. B., Jr., Rothman, D. L., Vaccarino, F. M., Hyder, F., & Schwartz, M. L. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp068 · Cited by 63
Gray and white matter degeneration revealed by diffusion in an Alzheimer mouse model
Zerbi, V., Kleinnijenhuis, M., Fang, X., Jansen, D., Veltien, A., Van Asten, J., Timmer, N., Dederen, P. J., Kiliaan, A. J., & Heerschap, A. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.11.017 · Cited by 74
Zerbi, V., Jansen, D., Wiesmann, M., Fang, X. T., Broersen, L. M., Veltien, A. A., Heerschap, A., & Kiliaan, A. J. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.09.038 · Cited by 62
Histological correlation of diffusion tensor imaging metrics in experimental spinal cord injury
Herrera, J. J., Chacko, T., & Narayana, P. A. (2007) · Journal of Neuroscience Research · doi:10.1002/jnr.21481 · Cited by 60
Tuor, U. I., Morgunov, M. A., Sule, M., Qiao, M., Clark, D., Rushforth, D. A., Foniok, T., & Kirton, A. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.08.003 · Cited by 57
NIESSEN, H., Angenstein, F., SANDER, K., Kunz, W. S., Teuchert, M., Ludolph, A. C., Heinze, H.-J., Scheich, H., & Vielhaber, S. (2006) · Experimental Neurology · doi:10.1016/j.expneurol.2006.04.007 · Cited by 57
Nirzhor, S. S. R., Khan, R. I., & Neelotpol, S. (2018) · Biomolecules · doi:10.3390/biom8030093 · Cited by 57
Grandjean, J., Derungs, R., Kulic, L., Welt, T., Henkelman, M., Nitsch, R. M., & Rudin, M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.042 · Cited by 48
Imaging the accumulation and suppression of tau pathology using multiparametric MRI
Holmes, H. E., Colgan, N., Ismail, O., Ma, D., Powell, N. M., O'Callaghan, J. M., Harrison, I. F., Johnson, R. A., Murray, T. K., Ahmed, Z., et al. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.12.001 · Cited by 51
Caballero, M. Á. A., Song, Z., Rubinski, A., Duering, M., Dichgans, M., Park, D. C., & Ewers, M. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.12062 · Cited by 52
Diffusion kurtosis imaging to detect amyloidosis in an APP/PS1 mouse model for Alzheimer's disease
Vanhoutte, G., Pereson, S., y Palacios, R. D., Guns, P., Asselbergh, B., Veraart, J., Sijbers, J., Verhoye, M., Broeckhoven, C. V., & der Linden, A. V. (2013) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24680 · Cited by 51
Longitudinal imaging of the ageing mouse
Dall’Ara, E., Boudiffa, M., Taylor, C., Schug, D., Fiegle, E., Kennerley, A. J., Damianou, C., Tozer, G. M., Kiessling, F. M., & Müller, R. (2016) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2016.08.001 · Cited by 49
White matter-associated microglia: New players in brain aging and neurodegenerative diseases
Ahn, K., Lee, S., & Mook‐Jung, I. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101574 · Cited by 50
Bales, K. R. (2012) · Expert Opinion on Drug Discovery · doi:10.1517/17460441.2012.666234 · Cited by 46
MRI in small brains displaying extensive plasticity
der Linden, A. V., Meir, V. V., Boumans, T., Poirier, C., & Balthazart, J. (2009) · Trends in Neurosciences · doi:10.1016/j.tins.2009.01.005 · Cited by 43
Qin, Y.-Y., Li, M.-W., Zhang, S., Zhang, Y., Zhao, L.-Y., Lei, H., Oishi, K., & Zhu, W.-Z. (2013) · Neuroradiology · doi:10.1007/s00234-013-1195-0 · Cited by 42
Klohs, J., Politano, I. W., Deistung, A., Grandjean, J., Drewek, A., Dominietto, M., Keist, R., Schweser, F., Reichenbach, J. R., Nitsch, R. M., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066097 · Cited by 42
Chen, Y., Wang, H., Chu, Y., Huang, Y., & Su, M. (2006) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000094785 · Cited by 42
In vivo diffusion tensor imaging (DTI) of brain subdivisions and vocal pathways in songbirds
Groof, G. D., Verhoye, M., Meir, V. V., Tindemans, I., Leemans, A., & der Linden, A. V. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.09.022 · Cited by 40
Voxel-based diffusion tensor imaging of an APP/PS1 mouse model of Alzheimer’s disease.
Shu, X., Qin, Y.-Y., Zhang, S., Jiang, J.-J., Zhang, Y., Zhao, L.-Y., Shan, D., & Zhu, W.-Z. (2013) · Molecular Neurobiology · doi:10.1007/s12035-013-8418-6 · Cited by 41
An MRI atlas of the mouse basal ganglia
Ullmann, J. F. P., WATSON, C. R. R., Janke, A. L., Kurniawan, N. D., Paxinos, G., & Reutens, D. C. (2013) · Brain Structure and Function · doi:10.1007/s00429-013-0572-0 · Cited by 41
Ceruloplasmin, a Potential Therapeutic Agent for Alzheimer's Disease
Zhao, Y., Zhang, L.-H., Yu, P.-P., Gou, Y.-J., Zhao, J., You, L., Wang, Z., Zheng, X., Yan, L., Yu, P., et al. (2017) · Antioxidants and Redox Signaling · doi:10.1089/ars.2016.6883 · Cited by 42
Kelp, A., Koeppen, A. H., Petrasch‐Parwez, E., Calaminus, C., Bauer, C. C., Portal, E., Yu-Taeger, L., Pichler, B. J., Bauer, P., Rieß, O., et al. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.5622-12.2013 · Cited by 40
Badea, A., Kane, L., Anderson, R. J., Qi, Y., Foster, M., Cofer, G. P., Medvitz, N., Buckley, A. F., Badea, A. K., Wetsel, W. C., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.014 · Cited by 39
Harms, M. P., Kotyk, J. J., & Merchant, K. M. (2006) · Experimental Neurology · doi:10.1016/j.expneurol.2006.01.002 · Cited by 40
Diffusion tensor imaging of cocaine-treated rodents
Narayana, P. A., Ahobila‐Vajjula, P., Ramu, J., Herrera, J. J., Steinberg, J. L., & Moeller, F. G. (2009) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2008.04.004 · Cited by 40
Brain fiber tract plasticity in experimental spinal cord injury: Diffusion tensor imaging
Ramu, J., Herrera, J. J., Grill, R. J., Bockhorst, T., & Narayana, P. A. (2008) · Experimental Neurology · doi:10.1016/j.expneurol.2008.03.018 · Cited by 36
Zhang, X., Sun, P., Wang, J., Wang, Q., & Song, S. (2011) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.11-7619 · Cited by 35
Self-citationWolf, 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
Animal Models of Neurodegenerative Disease: Insights from In vivo Imaging Studies
Strome, E. M., & Doudet, D. J. (2007) · Molecular Imaging and Biology · doi:10.1007/s11307-007-0093-4 · Cited by 35
Chen, S., Lee, J., Zeng, C., Chen, H., Hsu, C. Y., & Xu, J. (2006) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2006.03774.x · Cited by 34
DTI Analysis of Presbycusis Using Voxel-Based Analysis
Ma, W., Li, M., Gao, F., Zhang, X., Shi, L., Yu, L., Zhao, B., Chen, W., Wang, G., & Wang, X. (2016) · American Journal of Neuroradiology · doi:10.3174/ajnr.a4870 · Cited by 33
Neuroimaging biomarkers of epileptogenesis
Mishra, A. M., Bai, H. X., Gribizis, A., & Blumenfeld, H. (2011) · Neuroscience Letters · doi:10.1016/j.neulet.2011.01.076 · Cited by 31
Magnetic Resonance Imaging in Animal Models of Alzheimer’s Disease Amyloidosis
Ni, R. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222312768 · Cited by 34
Current neuroimaging techniques in Alzheimer's disease and applications in animal models.
Zhang, L., Chang, R. C., Chu, L., & Mak, H. K. (2012) · Europe PMC (PubMed Central) · Cited by 31
Mhatre, S. D., Michelson, S. J., Gomes, J., Tabb, L. P., Saunders, A. J., & Marenda, D. R. (2014) · Experimental Neurology · doi:10.1016/j.expneurol.2014.08.021 · Cited by 34
A complementary diffusion tensor imaging (DTI)-histological study in a model of Huntington's disease
Camp, N. V., Blockx, I., Camón, L., de Vera, N., Verhoye, M., Veraart, J., Hecke, W. V., Martı́nez, E., Sòria, G., Sijbers, J., et al. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.07.001 · Cited by 31
Snow, W. M., Dale, R., O’Brien-Moran, Z., Buist, R., Peirson, D., Martin, M., & Albensi, B. C. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170136 · Cited by 29
Amyloid-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
Pal, D., Gupta, R. K., Agarwal, S., Yadav, A., Ojha, B. K., Awasthi, A., Rathore, R. K. S., Pandey, C. M., & Narayana, P. A. (2011) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2011.12.002 · Cited by 29
Striatum and entorhinal cortex atrophy in AD mouse models: MRI comprehensive analysis
Micotti, E., Paladini, A., Balducci, C., Tolomeo, D., Frasca, A., Marizzoni, M., Filibian, M., Caroli, A., Valbusa, G., Dix, S. L., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.10.027 · Cited by 29
Wang, P., Zhou, B., Yao, H., Xie, S., Feng, F., Zhang, Z., Guo, Y., An, N., Zhou, Y., Zhang, X., et al. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200066 · Cited by 29
Update on Diffusion Tensor Imaging in Alzheimer's Disease
Hess, C. P. (2009) · Magnetic Resonance Imaging Clinics of North America · doi:10.1016/j.mric.2009.02.003 · Cited by 28
Metadata
- Authors
- Song, S.-K., Kim, J. H., Lin, S.-J., Brendza, R. P., & Holtzman, D. M.
- Affiliations
- Washington University in St. Louis (US)
- Corresponding author
- Song, Sheng-Kwei
- Venue
- Neurobiology of Disease
- Publisher
- Elsevier BV
- Published
- 2004-04
- Volume
- 15
- Issue
- 3
- Pages
- 640-647
- ISSN
- 0969-9961 (ISSN-L)
- OpenAlex
- W1969674465
- Cited by
- 170
- References
- 52
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2023: 3 · 2022: 4 · 2021: 3 · 2020: 6 · 2019: 9 · 2018: 6 · 2017: 6 · 2016: 7 · 2015: 12 · 2014: 8 · 2013: 15 · 2012: 8
- FWCI
- 7.82
- Type
- journal article
- Language
- en
- Open access
- green
- doaj.org
- Licence
- Locations
- Neurobiology of Disease (publishedVersion)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Eli Lilly and Company
- National Institute on Aging (AG11355, AG 05681, P 50 AG05681, P50AG005681, AG13956, P01AG011355)
- National Cancer Institute (R24CA083060, 1 R24 CA83060-01)
- Topics
- 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
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Alzheimer's disease, white matter injury, amyloid-beta deposition, PDAPP mice, age-related neurodegeneration, diffusion tensor imaging, transgenic mouse model
- MeSH terms
- Aging, Alzheimer Disease, Animals, Brain, Disease Models, Animal, Mice, Transgenic, Platelet-Derived Growth Factor, Promoter Regions, Genetic, Amyloid beta-Protein Precursor, Diffusion Magnetic Resonance Imaging, Mice, Plaque, Amyloid
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