Multiple indices of diffusion identifies white matter damage in mild cognitive impairment and Alzheimer’s disease
Open accessAbstract
The study of multiple indices of diffusion, including axial (DA), radial (DR) and mean diffusion (MD), as well as fractional anisotropy (FA), enables WM damage in Alzheimer's disease (AD) to be assessed in detail. Here, tract-based spatial statistics (TBSS) were performed on scans of 40 healthy elders, 19 non-amnestic MCI (MCIna) subjects, 14 amnestic MCI (MCIa) subjects and 9 AD patients. Significantly higher DA was found in MCIna subjects compared to healthy elders in the right posterior cingulum/precuneus. Significantly higher DA was also found in MCIa subjects compared to healthy elders in the left prefrontal cortex, particularly in the forceps minor and uncinate fasciculus. In the MCIa versus MCIna comparison, significantly higher DA was found in large areas of the left prefrontal cortex. For AD patients, the overlap of FA and DR changes and the overlap of FA and MD changes were seen in temporal, parietal and frontal lobes, as well as the corpus callosum and fornix. Analysis of differences between the AD versus MCIna, and AD versus MCIa contrasts, highlighted regions that are increasingly compromised in more severe disease stages. Microstructural damage independent of gross tissue loss was widespread in later disease stages. Our findings suggest a scheme where WM damage begins in the core memory network of the temporal lobe, cingulum and prefrontal regions, and spreads beyond these regions in later stages. DA and MD indices were most sensitive at detecting early changes in MCIa.
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AxDDTI may be more sensitive to unspecific microscopic cellular loss earlier in the disease, perhaps making it more sensitive in the healthier participants of the ADNI3 dataset.
“but AxDDTI may be more sensitive to unspecific microscopic cellular loss earlier in the disease (O’Dwyer et al., 2011), perhaps making it more sensitive in the healthier participants of the ADNI3 dataset.”
From Diffusion MRI Indices and Their Relation to Cognitive Impairment in Brain Aging: The Updated Multi-protocol Approach in ADNI3 (2019) · cites this paper as O’Dwyer et al., 2011
The Results (Early detection of diffusional changes in MCI) report axial diffusivity (DA) differences in MCI, supporting sensitivity to early white-matter changes. The Introduction and Discussion relate DA changes to white-matter damage and possible axonal degeneration, but do not establish that DA is specifically sensitive to nonspecific microscopic cellular loss. The ADNI3 inference is the citing authors’ own extrapolation. (LLM, conf=0.84)
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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 · see citing works
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 · see citing works
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · see citing works
Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630 · see citing works
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496 · see citing works
Mild cognitive impairment as a diagnostic entity
Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864 · see citing works
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 · see citing works
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., Watkins, K., Ciccarelli, O., Cader, M., Matthews, P., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.024 · Cited by 6,035 · see citing works
MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging
Fazekas, F., Chawluk, J. B., Alavi, A. A., Hurtig, H. I., & Zimmerman, R. A. (1987) · American Journal of Roentgenology · doi:10.2214/ajr.149.2.351 · Cited by 5,327 · see citing works
SMITH, S., & NICHOLS, T. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.061 · Cited by 5,250 · see citing works
Mirra, 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
Current concepts in mild cognitive impairment
Petersen, R. C., Doody, R., Kurz, A., Mohs, R. C., Morris, J. C., Rabins, P. V., Ritchie, K., Rossor, M., Thal, L., & Winblad, B. (2001) · Archives of Neurology · doi:10.1001/archneur.58.12.1985 · Cited by 4,781 · see citing works
Alzheimer's Disease Is a Synaptic Failure
Selkoe, D. J. (2002) · Science · doi:10.1126/science.1074069 · Cited by 4,420 · see citing works
Estimation of the Effective Self-Diffusion Tensor from the NMR Spin Echo
Basser, P. J., Mattiello, J., & Bihan, D. L. (1994) · Journal of Magnetic Resonance Series B · doi:10.1006/jmrb.1994.1037 · Cited by 3,656 · see citing works
Consortium to Establish a Registry for Alzheimer's Disease (CERAD)
Fillenbaum, G., & Heyman, A. (2002) · doi:10.1002/0470846410.ch42(iii · Cited by 2,859 · see citing works
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 · see citing works
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 · see citing works
Staging of alzheimer's disease-related neurofibrillary changes
Braak, H., & Braak, E. (1995) · Neurobiology of Aging · doi:10.1016/0197-4580(95)00021-6 · Cited by 2,357 · see citing works
Neurodegenerative Diseases Target Large-Scale Human Brain Networks
Seeley, W. W., Crawford, R. K., Zhou, J., Miller, B. L., & Greicius, M. D. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.024 · Cited by 2,350 · see citing works
Alzheimer's disease: cell-specific pathology isolates the hippocampal formation.
Hyman, B. T., Van Hoesen, G. W., Damasio, A. R., & Barnes, C. L. (1984) · Science · doi:10.1126/science.6474172 · Cited by 2,268 · see citing works
Buckner, R. L., Snyder, A. Z., Shannon, B. J., LaRossa, G., Sachs, R., Fotenos, A. F., Sheline, Y. I., Klunk, W. E., Mathis, C. A., Morris, J. C., et al. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2177-05.2005 · Cited by 2,140 · see citing works
Song, S.-K., Sun, S.-W., Ju, W.-K., Lin, S.-J., Cross, A. H., & Neufeld, A. H. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.07.005 · Cited by 1,738 · see citing works
Demyelination increases radial diffusivity in corpus callosum of mouse brain
Song, S.-K., Yoshino, J., Le, T. Q., Lin, S.-J., Sun, S.-W., Cross, A. H., & Armstrong, R. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.01.028 · Cited by 1,658 · see citing works
Frequency of Stages of Alzheimer-Related Lesions in Different Age Categories
Braak, H., & Braak, E. (1997) · Neurobiology of Aging · doi:10.1016/s0197-4580(97)00056-0 · Cited by 1,656 · see citing works
Looking into the functional architecture of the brain with diffusion MRI.
Le Bihan, D. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1119 · Cited by 1,571 · see citing works
Diffusion tensor imaging (DTI)-based white matter mapping in brain research: a review
Assaf, Y., & Pasternak, O. (2008) · Journal of Molecular Neuroscience · doi:10.1007/s12031-007-0029-0 · Cited by 1,537 · see citing works
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 · see citing works
Age-related myelin breakdown: a developmental model of cognitive decline and Alzheimer’s disease
Bartzokis, G. (2004) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2003.03.001 · Cited by 968 · see citing works
Coherent spontaneous activity identifies a hippocampal-parietal memory network
Vincent, J. L., Snyder, A. Z., Fox, M. D., Shannon, B. J., Andrews, J. R., Raichle, M. E., & Buckner, R. L. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00048.2006 · Cited by 959 · cited 2× · see citing works
“The precuneus is connected to the temporal lobe via the retrosplenial cortex, and the hippocampus may not be able to communicate with the neocortex if it is sufficiently damaged [28,63].”
BackgroundResultPerforant pathway changes and the memory impairment of Alzheimer's disease
Hyman, B. T., Van Hoesen, G. W., Kromer, L. J., & Damasio, A. R. (1986) · Annals of Neurology · doi:10.1002/ana.410200406 · Cited by 672 · see citing works
Biomarkers for Alzheimer's disease: academic, industry and regulatory perspectives
Hampel, H. J., Frank, R., Broich, K., Teipel, S. J., Katz, R. G., Hardy, J., Herholz, K., Bokde, A. L. W., Jessen, F., Hoessler, Y. C., et al. (2010) · Nature Reviews Drug Discovery · doi:10.1038/nrd3115 · Cited by 630 · see citing works
Self-citationDiffusion tensor imaging of lesions and normal-appearing white matter in multiple sclerosis
Werring, D. J., Clark, C. A., Barker, G. J., Thompson, A. J., & Miller, D. H. (1999) · Neurology · doi:10.1212/wnl.52.8.1626 · Cited by 621 · see citing works
Smith, S. M., Johansen‐Berg, H., Jenkinson, M., Rueckert, D., Nichols, T. E., Miller, K. L., Robson, M. D., Jones, D. K., Klein, J. C., Bartsch, A. J., et al. (2007) · Nature Protocols · doi:10.1038/nprot.2007.45 · Cited by 578 · see citing works
Alzheimer's disease as homeostatic responses to age-related myelin breakdown
Bartzokis, G. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.08.007 · Cited by 546 · see citing works
Diffusion tensor magnetic resonance imaging in multiple sclerosis
Filippi, M., Cercignani, M., Inglese, M., Horsfield, M. A., & Comi, G. (2001) · Neurology · doi:10.1212/wnl.56.3.304 · Cited by 545 · see citing works
Douaud, G., Jbabdi, S., Behrens, T. E. J., Menke, R. A., Gass, A., Monsch, A. U., Rao, A., Whitcher, B., Kindlmann, G., Matthews, P. M., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.008 · Cited by 514 · see citing works
Neuroimaging studies of autobiographical event memory
Maguire, E. A. (2001) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2001.0944 · Cited by 513 · 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
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 463 · see citing works
Sun, S., Liang, H., Trinkaus, K., Cross, A. H., Armstrong, R. C., & Song, S. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20774 · Cited by 461 · see citing works
Assessing the effects of age on long white matter tracts using diffusion tensor tractography
Davis, S. W., Dennis, N. A., Buchler, N. G., White, L. E., Madden, D. J., & Cabeza, R. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.068 · Cited by 458 · see citing works
The role of diffusion tensor imaging in the evaluation of ischemic brain injury – a review
Sotak, C. H. (2002) · NMR in Biomedicine · doi:10.1002/nbm.786 · Cited by 433 · see citing works
Limbic hypometabolism in Alzheimer's disease and mild cognitive impairment
Nestor, P. J., Fryer, T. D., Smielewski, P. S., & Hodges, J. R. (2003) · Annals of Neurology · doi:10.1002/ana.10669 · Cited by 414 · see citing works
Braak, H., & Braak, E. (1996) · Acta Neuropathologica · doi:10.1007/s004010050508 · Cited by 406 · see citing works
Absolute diffusivities define the landscape of white matter degeneration in Alzheimer’s disease
Acosta-Cabronero, J., Williams, G. B., Pengas, G., & Nestor, P. J. (2010) · Brain · doi:10.1093/brain/awp257 · Cited by 393 · see citing works
Age-related differences in white matter microstructure: Region-specific patterns of diffusivity
Burzynska, A. Z., Preuschhof, C., Bäckman, L., Nyberg, L. H., Li, S., Lindenberger, U., & Heekeren, H. R. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.041 · Cited by 377 · see citing works
Cabeza, R. E. L., Prince, S. E., Daselaar, S. M., Greenberg, D. L., Budde, M. D., Dolcos, F., LaBar, K. S., & Rubin, D. C. (2004) · Journal of Cognitive Neuroscience · doi:10.1162/0898929042568578 · Cited by 377 · see citing works
Alzheimer’s pathogenesis: is there neuron-to-neuron propagation?
Braak, H., & Tredici, K. D. (2011) · Acta Neuropathologica · doi:10.1007/s00401-011-0825-z · Cited by 359 · see citing works
Patterns of gliosis in alzheimer's disease and aging cerebrum
Beach, T. G., Walker, R., & McGeer, E. G. (1989) · Glia · doi:10.1002/glia.440020605 · Cited by 337 · see citing works
Stricker, N. H., Schweinsburg, B. C., Delano‐Wood, L., Wierenga, C. E., Bangen, K. J., Haaland, K. Y., Frank, L. R., Salmon, D. P., & Bondi, M. W. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.11.027 · Cited by 308 · see citing works
White matter damage in Alzheimer disease and its relationship to gray matter atrophy
Agosta, F., Pievani, M., Sala, S., Geroldi, C., Galluzzi, S., Frisoni, G. B., & Filippi, M. (2011) · Radiology · doi:10.1148/radiol.10101284 · Cited by 288 · see citing works
Diffusion MRI in multiple sclerosis
Rovaris, M., Gass, A., Bammer, R., Hickman, S. J., Ciccarelli, O., Miller, D. H., & Filippi, M. (2005) · Neurology · doi:10.1212/01.wnl.0000184471.83948.e0 · Cited by 280 · see citing works
White matter pathology isolates the hippocampal formation in Alzheimer's disease
Salat, D. H., Tuch, D. S., van der Kouwe, A. J. W., Greve, D. N., Pappu, V., Lee, S. Y., Hevelone, N. D., Zaleta, A. K., Growdon, J. H., Corkin, S., et al. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.03.013 · Cited by 279 · see citing works
Some observations on the course and composition of the cingulum bundle in the rhesus monkey
Mufson, E. J., & Pandya, D. Ν. (1984) · The Journal of Comparative Neurology · doi:10.1002/cne.902250105 · Cited by 277 · see citing works
Bosch, B., Arenaza-Urquijo, E. M., Rami, L., Sala-Llonch, R., Junqué, C., Solé-Padullés, C., Peña-Gómez, C., Bargalló, N., Molinuevo, J. L., & Bartrés-Faz, D. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.02.004 · Cited by 272 · see citing works
A Model for Diffusion in White Matter in the Brain
Sen, P. N., & Basser, P. J. (2005) · Biophysical Journal · doi:10.1529/biophysj.105.063016 · Cited by 266 · see citing works
Changes in water diffusion due to Wallerian degeneration in peripheral nerve
Beaulieu, C., Does, M. D., Snyder, R. E., & Allen, P. S. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910360419 · Cited by 263 · 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
DWI predicts future progression to Alzheimer disease in amnestic mild cognitive impairment
Kantarci, K., Petersen, R. C., Boeve, B. F., Knopman, D. S., Weigand, S. D., O’Brien, P. C., Shiung, M. M., Smith, G. E., Ivnik, R. J., Tangalos, E. G., et al. (2005) · Neurology · doi:10.1212/01.wnl.0000153076.46126.e9 · Cited by 251 · see citing works
White matter tract integrity in aging and Alzheimer's disease
Damoiseaux, J. S., Smith, S. M., Witter, M. P., Sanz‐Arigita, E., Barkhof, F., Scheltens, P., Stam, C. J., Zarei, M., & Rombouts, S. A. R. B. (2008) · Human Brain Mapping · doi:10.1002/hbm.20563 · Cited by 249 · 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
Time course of wallerian degeneration after ischaemic stroke revealed by diffusion tensor imaging
Thomalla, G. (2005) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2004.046375 · Cited by 233 · see citing works
The Biological Basis of Diffusion Anisotropy
Beaulieu, C. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374709-9.00006-7 · Cited by 231 · see citing works
Quantitative diffusion tensor imaging in cerebral palsy due to periventricular white matter injury
Thomas, B., Eyssen, M., Peeters, R. R., Molenaers, G., Hecke, P. V., Cock, P. D., & Sunaert, S. G. (2005) · Brain · doi:10.1093/brain/awh600 · Cited by 230 · see citing works
Huang, J., Friedland, R. P., & Auchus, A. P. (2007) · American Journal of Neuroradiology · doi:10.3174/ajnr.a0700 · Cited by 220 · see citing works
Neuropathology of white matter changes in Alzheimer’s disease and vascular dementia
Englund, E. (1998) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000051183 · Cited by 213 · see citing works
Voxel-based detection of white matter abnormalities in mild Alzheimer disease
Xie, S., Xiao, J., Gong, G., Zang, Y., Wang, Y., Wu, H., & Jiang, X. X. (2006) · Neurology · doi:10.1212/01.wnl.0000219625.77625.aa · Cited by 208 · see citing works
Ciccarelli, O. (2006) · Brain · doi:10.1093/brain/awl100 · Cited by 190 · see citing works
Water diffusion, T2, and compartmentation in frog sciatic nerve
Peled, S., Cory, D. G., Raymond, S. A., Kirschner, D. A., & Jolesz, F. A. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199911)42:5 · Cited by 189 · see citing works
Neuropsychiatric symptoms in the dementias
Assal, F., & Cummings, J. L. (2002) · Current Opinion in Neurology · doi:10.1097/00019052-200208000-00007 · Cited by 180 · see citing works
Multivariate network analysis of fiber tract integrity in Alzheimer’s disease
Teipel, S. J., Stahl, R., Dietrich, O., Schoenberg, S. O., Perneczky, R., Bokde, A. L. W., Reiser, M. F., Möller, H., & Hampel, H. J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.07.047 · Cited by 169 · see citing works
Self-citationLongitudinal brain metabolic changes from amnestic mild cognitive impairment to Alzheimer's disease
Fouquet, M., Desgranges, B., Landeau, B., Duchesnay, É., Mézenge, F., Sayette, V. D. L., Viader, F., Baron, J., Eustache, F., & Chételat, G. (2009) · Brain · doi:10.1093/brain/awp132 · Cited by 148 · see citing works
Englund, E. M., & Brun, A. (1990) · Histopathology · doi:10.1111/j.1365-2559.1990.tb01542.x · Cited by 138 · see citing works
White matter integrity in mild cognitive impairment: A tract-based spatial statistics study
Zhuang, L., Wen, W. X., Zhu, W., Trollor, J. N., Kochan, N. A., Crawford, J., Reppermund, S., Brodaty, H., & Sachdev, P. S. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.068 · Cited by 127 · see citing works
Taoka, T., Iwasaki, S., Sakamoto, M., Nakagawa, H., Fukusumi, A., Myochin, K., Hirohashi, S., Hoshida, T., & Kichikawa, K. (2006) · PubMed Central · Cited by 127 · see citing works
Yasmin, H., Nakata, Y., Aoki, S., Abe, O., Sato, N., Nemoto, K., Arima, K., Furuta, N., Uno, M., Hirai, S., et al. (2008) · Neuroradiology · doi:10.1007/s00234-007-0353-7 · Cited by 117 · see citing works
Gold, B. T., Powell, D. K., Andersen, A. H., & Smith, C. D. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.036 · Cited by 112 · see citing works
Functional relevant loss of long association fibre tracts integrity in early Alzheimer's disease
Fellgiebel, A., Schermuly, I., Gerhard, A., Keller, I., Albrecht, J., Weibrich, C., Müller, M. J., & Stoeter, P. (2007) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2007.12.010 · Cited by 85 · see citing works
Zhang, Y., Du, A., Hayasaka, S., Jahng, G., Hlavin, J. A., Zhan, W., Weiner, M. W., & Schuff, N. W. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.10.009 · Cited by 80 · see citing works
Bartzokis, G., Lu, P. H., & Mintz, J. (2005) · Journal of Alzheimer s Disease · doi:10.3233/jad-2004-6s604 · Cited by 78 · see citing works
Cingulum fiber diffusivity and CSF T-tau in patients with subjective and mild cognitive impairment
Stenset, V. T. V., Bjørnerud, A., Fjell, A. M., Walhovd, K. B., Hofoss, D., Due‐Tønnessen, P., Gjerstad, L., & Fladby, T. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.04.014 · Cited by 61 · see citing works
Zollinger, L. V., Kim, T. H., Hill, K. E., Jeong, E. K., & ROSE, J. W. (2011) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22502 · Cited by 37 · see citing works
Smith, S. M., Johansen‐Berg, H., Jenkinson, M., Rueckert, D., Nichols, T. E., Miller, K. L., Robson, Jones, D. K., Klein, J. C. V. V., Bartsch, A., et al. (2007) · Nature Protocols · Cited by 14 · see citing works
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2 of the 86 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- [40]Burzynska AZ Preuschhof C Bäckman L Nyberg L Li S-C 2010 Age-related differences in white matter microstructure: region-specific patterns of diffusivity. Neuroimage 49 2104 2112 doi: 10.1016/j.neuroimage.2009.09.041 19782758 · DOI
- [57]Pruessmann KP Weiger M Scheidegger MB Boesiger P 1999 SENSE: sensitivity encoding for fast MRI. Magn Reson Med 42 952 962 10542355
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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 874 · see citing works
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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 · see citing works
Amlien, I. K., & Fjell, A. M. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.02.017 · Cited by 219 · see citing works
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 · see citing works
Relevance of Magnetic Resonance Imaging for Early Detection and Diagnosis of Alzheimer Disease
Teipel, S. J., Grothe, M. J., Lista, S., Toschi, N., Garaci, F., & Hampel, H. J. (2013) · Medical Clinics of North America · doi:10.1016/j.mcna.2012.12.013 · Cited by 192 · see citing works
Self-citationDouaud, 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 · see citing works
The Differentiation of Amnestic Type MCI from the Non-Amnestic Types by Structural MRI
Csukly, G., Sirály, E., Fodor, Z., Horvath, A. A., Salacz, P., Hidasi, Z., Csibri, É., Rudas, G., & Szabó, Á. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00052 · Cited by 171 · see citing works
White matter correlates of cognitive domains in normal aging with diffusion tensor imaging
Sasson, E., Doniger, G. M., Pasternak, O., Tarrasch, R., & Assaf, Y. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00032 · Cited by 159 · see citing works
Fletcher, E. M., Raman, M. R., Huebner, P. A., Liu, A., Mungas, D., Carmichael, O. T., & DeCarli, C. S. (2013) · JAMA Neurology · doi:10.1001/jamaneurol.2013.3263 · Cited by 144 · see citing works
Hampel, H. J., Lista, S., Teipel, S. J., Garaci, F., Nisticò, R., Blennow, K., Zetterberg, H., Bertram, L., Duyckaerts, C. J., Bakardjian, H., et al. (2013) · Biochemical Pharmacology · doi:10.1016/j.bcp.2013.11.009 · Cited by 141 · see citing works
Self-citationNeuroketotherapeutics: A modern review of a century-old therapy
Koppel, S. J., & Swerdlow, R. H. (2017) · Neurochemistry International · doi:10.1016/j.neuint.2017.05.019 · Cited by 140 · see citing works
Benitez, A. M., Fieremans, E., Jensen, J. H., Falangola, M. F., Tabesh, A., Ferris, S. H., & Helpern, J. A. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.11.001 · Cited by 132 · see citing works
Diffusion Tensor Metrics as Biomarkers in Alzheimer's Disease
Acosta‐Cabronero, J., Alley, S., Williams, G. B., Pengas, G., & Nestor, P. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0049072 · Cited by 128 · see citing works
Yao, J., Rettberg, J. R., Klosinski, L. P., Cadenas, E., & Brinton, R. D. (2011) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2011.10.005 · Cited by 124 · see citing works
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. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032441 · Cited by 117 · see citing works
Self-citationJi, F., Pasternak, O., Liu, S., Loke, Y. M., Choo, B. L., Hilal, S., Xu, X., Ikram, M. K., Venketasubramanian, N., Chen, C., et al. (2017) · Alzheimer s Research & Therapy · doi:10.1186/s13195-017-0292-4 · Cited by 111 · see citing works
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 · see citing works
Self-citationFalvey, C., Rosano, C., Simonsick, E. M., Harris, T. B., Strotmeyer, E. S., Satterfield, S., Yaffe, K. S., & Study, F. T. H. A. (2012) · Diabetes Care · doi:10.2337/dc12-0814 · Cited by 105 · see citing works
Gong, N., Wong, C.-S., Chan, C.-C., Leung, L., & Chu, Y. (2013) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2012.10.027 · Cited by 103 · see citing works
How Can Insulin Resistance Cause Alzheimer’s Disease?
Yoon, J. H., Hwang, J., Son, S. U., Choi, J., You, S.-W., Park, H., Cha, S.-Y., & Maeng, S. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24043506 · Cited by 104 · 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
“…al., 2008; Clerx et al., 2012; Nir et al., 2013; Maggipinto et al., 2017; Mayo et al., 2017), but AxD DTI may be more sensitive to unspecific microscopic cellular loss earlier in the disease (O’Dwyer et al., 2011), perhaps making it more sensitive in the healthier participants of the ADNI3 dataset.”
Yao, J., & Brinton, R. D. (2012) · PubMed · doi:10.1016/b978-0-12-394816-8.00010-6 · Cited by 64 · see citing works
Widespread 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 90 · see citing works
Oertel‐Knöchel, V., Reinke, B., Alves, G. S., Jurcoane, A., Wenzler, S., Prvulovic, D., Linden, D. E. J., & Knöchel, C. (2013) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.11.004 · Cited by 85 · see citing works
Self-citationDissecting 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 84 · see citing works
Yu, J., Lam, C. L. M., & Lee, T. M. C. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.10.026 · Cited by 81 · see citing works
Radanovic, M., Pereira, F., Stella, F., Aprahamian, I., Ferreira, L. K., Forlenza, O., & Busatto, G. (2013) · Expert Review of Neurotherapeutics · doi:10.1586/ern.13.45 · Cited by 80 · see citing works
Molinuevo, J. L., Ripollés, P., Simó, M., Lladó, A., Olives, J., Balasa, M., Antonell, A., Rodríguez‐Fornells, A., & Rami, L. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.05.027 · Cited by 80 · see citing works
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 72 · see citing works
Zhao, H., Zhou, X., Song, Y., Zhao, W., Sun, Z., Zhu, J., & Yu, Y. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01683-0 · Cited by 76 · see citing works
Specific Patterns of White Matter Alterations Help Distinguishing Alzheimer's and Vascular Dementia
Palesi, F., Rinaldis, A. D., Vitali, P., Castellazzi, G., Casiraghi, L., Germani, G., Bernini, S., Anzalone, N., Ramusino, M. C., Denaro, F. M., et al. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00274 · Cited by 71 · see citing works
Pineda‐Pardo, J. A., Bruña, R., Woolrich, M. W., Marcos, A., Nobre, A. C., Maestú, F., & Vidaurre, D. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.08.002 · Cited by 64 · see citing works
Alves, G. S., O’Dwyer, L., Jurcoane, A., Oertel‐Knöchel, V., Knöchel, C., Prvulovic, D., Sudo, F. K., Alves, C. E. D. O., Valente, L., Moreira, D., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0052859 · Cited by 65 · see citing works
Self-citationWang, 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 · see citing works
Casta�o, E. M., Maarouf, C. L., Wu, T., Leal, M. C., Whiteside, C. M., Lue, L., Kokjohn, T. A., Sabbagh, M. N., Beach, T. G., & Roher, A. E. (2012) · Neurochemistry International · doi:10.1016/j.neuint.2012.12.001 · Cited by 60 · see citing works
Spitzer, S. O., Volbracht, K., Lundgaard, I., & Káradóttir, R. T. (2016) · Neuropharmacology · doi:10.1016/j.neuropharm.2016.06.014 · Cited by 62 · see citing works
Gong, N., Chan, C., Leung, L., Wong, C.-S., Dibb, R., & Liu, C. (2017) · Human Brain Mapping · doi:10.1002/hbm.23535 · Cited by 62 · see citing works
Paolini, M., Palladini, M., Mazza, M. G., Colombo, F., Vai, B., Rovere, P. Q., Falini, A., Poletti, S., & Benedetti, F. (2022) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2022.12.002 · Cited by 61 · see citing works
Effects of insulin resistance on white matter microstructure in middle-aged and older adults
Ryu, S. Y., Coutu, J., Rosas, H. D., & Salat, D. H. (2014) · Neurology · doi:10.1212/wnl.0000000000000452 · Cited by 60 · see citing works
Lista, S., Molinuevo, J. L., Cavedo, E., Rami, L., Amouyel, P., Teipel, S. J., Garaci, F., Toschi, N., Habert, M.-O., Blennow, K., et al. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-150202 · Cited by 53 · see citing works
Self-citationQuantitative 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 · see citing works
Gaudio, S., Quattrocchi, C. C., Piervincenzi, C., Zobel, B. B., Montecchi, F. R., Dakanalis, A., Riva, G., & Carducci, F. (2017) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2017.06.011 · Cited by 52 · see citing works
Caso, F., Agosta, F., & Filippi, M. (2015) · Neurodegenerative Diseases · doi:10.1159/000441422 · Cited by 47 · see citing works
Alderson, T. H., Bokde, A. L. W., Kelso, J. A. S., Maguire, L., & Coyle, D. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.08.033 · Cited by 45 · see citing works
Self-citationBesga, A., Termenón, M., Graña, M., Echeveste, J., Pérez, J. M., & González-Pinto, A. M. (2012) · Neuroscience Letters · doi:10.1016/j.neulet.2012.05.033 · Cited by 46 · see citing works
Tu, M.-C., Lo, C., Huang, C.-F., Hsu, Y., Huang, W., Deng, J. F., & Lee, Y. (2017) · PLoS ONE · doi:10.1371/journal.pone.0175143 · Cited by 46 · see citing works
Exploring the Functional Brain Network of Alzheimer’s Disease: Based on the Computational Experiment
Li, Y., Qin, Y., Chen, X., & Li, W. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073186 · Cited by 44 · see citing works
Alterations in Diffusion Measures of White Matter Integrity Associated with Healthy Aging
Molloy, C. J., Nugent, S., & Bokde, A. L. W. (2019) · The Journals of Gerontology Series A · doi:10.1093/gerona/glz289 · Cited by 42 · see citing works
Self-citationGyebnár, G., Szabó, Á., Sirály, E., Fodor, Z., Sákovics, A., Salacz, P., Hidasi, Z., Csibri, É., Rudas, G., Kozák, L. R., et al. (2018) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2017.10.007 · Cited by 49 · see citing works
Maurin, H., Chong, S., Kraev, I., Davies, H. A., Kremer, A., Seymour, C. M., Lechat, B., Jaworski, T., Borghgraef, P., Devijver, H., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087605 · Cited by 42 · see citing works
Tan, X. L., Fang, P., An, J., Lin, H., Liang, Y., Shen, W., Leng, X., Zhang, C., Zheng, Y., & Qiu, S. (2016) · Neuroradiology · doi:10.1007/s00234-016-1752-4 · Cited by 42 · see citing works
Cerebellar White Matter Disruption in Alzheimer’s Disease Patients: A Diffusion Tensor Imaging Study
Toniolo, S., Serra, L., Olivito, G., Caltagirone, C., Mercuri, N. B., Marra, C., Cercignani, M., & Bozzali, M. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-191125 · Cited by 40 · see citing works
Physical activity and cognitive and imaging biomarkers of Alzheimer's disease in down syndrome
Fleming, V., Piro‐Gambetti, B., Patrick, A., Zammit, M. D., Alexander, A. L., Christian, B. T., Handen, B. L., Cohen, A. D., Klunk, W. E., Laymon, C. M., et al. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.07.016 · Cited by 41 · see citing works
Yeung, M. K.-C., Chau, A. K.-Y., Chiu, J. Y.-C., Shek, J. T.-L., Leung, J. P.-Y., & Wong, T. C.-H. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101675 · Cited by 39 · see citing works
Li, W., Muftuler, L. T., Chen, G., Ward, B. D., Budde, M. D., Jones, J. L., Franczak, M. B., Antuono, P., Li, S., & Goveas, J. S. (2013) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2013.12.016 · Cited by 40 · see citing works
Schäfer, A., Chaggar, P., Thompson, T., Goriely, A., Ellen Kuhl, A., & Initiative, F. T. A. D. N. (2021) · Brain Multiphysics · doi:10.1016/j.brain.2021.100039 · Cited by 39 · see citing works
Lin, S.-Y., Lin, C., Hsieh, T.-J., Lin, C.-F., Chen, S.-H., Chao, Y., Chen, Y., Hsu, C.-C., & Kuo, L. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101680 · Cited by 37 · see citing works
Oertel‐Knöchel, V., Reinke, B., Feddern, R., Knake, A., Knöchel, C., Prvulovic, D., Pantel, J., & Linden, D. E. J. (2014) · Bipolar Disorders · doi:10.1111/bdi.12241 · Cited by 36 · see citing works
Self-citationFerreira, S., Pitman, K. A., Wang, S., Summers, B. S., Bye, N., Young, K. M., & Cullen, C. L. (2020) · Journal of Neuroscience Research · doi:10.1002/jnr.24672 · Cited by 36 · see citing works
O'Dwyer, L., Lamberton, F., Matura, S., Scheibe, M., Miller, J., Rujescu, D., Prvulovic, D., & Hampel, H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0036024 · Cited by 34 · see citing works
Self-citationStricker, N. H., Salat, D. H., Foley, J. M., Zink, T. A., Kellison, I. L., McFarland, C. P., Grande, L. J., McGlinchey, R. E., Milberg, W., & Leritz, E. C. (2013) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617713000660 · Cited by 32 · see citing works
Sexual Dimorphism in Healthy Aging and Mild Cognitive Impairment: A DTI Study
O’Dwyer, L., Lamberton, F., Bokde, A. L. W., Ewers, M., Faluyi, Y. O., Tanner, C. J., Mazoyer, B. M., O’Neill, D. J., Bartley, M. M., Collins, R., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0037021 · Cited by 31 · see citing works
Self-citationWang, 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 · see citing works
Gu, Y., Zhao, P., Feng, W., Xia, X., Tian, X., Yan, Y., Wang, X., Gao, D., Du, Y., & Li, X. (2022) · BMC Geriatrics · doi:10.1186/s12877-022-03245-7 · Cited by 28 · see citing works
van Dongen, E. V., von Rhein, D. T., O’Dwyer, L., Franke, B., Hartman, C. A., Heslenfeld, D. J., Hoekstra, P. J., Oosterlaan, J., Rommelse, N. N. J., & Buitelaar, J. K. (2015) · Molecular Autism · doi:10.1186/s13229-015-0043-y · Cited by 26 · see citing works
Self-citationDisruption of thalamic connectivity in Alzheimer’s disease: a diffusion tensor imaging study
Zhu, Q., Bi, S., Yao, X.-T., Ni, Z., Li, Y., Chen, B., Fan, G., & Shang, X. (2015) · Metabolic Brain Disease · doi:10.1007/s11011-015-9708-7 · Cited by 28 · see citing works
Rowley, J., Fonov, V., Wu, O., Eskildsen, S. F., Schoemaker, D., Wu, L., Mohades, S., Shin, M., Sziklas, V., Cheewakriengkrai, L., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074776 · Cited by 27 · see citing works
White Matter Damage Disorganizes Brain Functional Networks in Amnestic Mild Cognitive Impairment
Pineda‐Pardo, J. A., Garcés, P., López, M. E., Aurtenetxe, S., Cuesta, P., Marcos, A., Carrasco, P. M., Yus, M., Hernandez-Tamames, J. A., del Pozo, F., et al. (2014) · Brain Connectivity · doi:10.1089/brain.2013.0208 · Cited by 27 · see citing works
Lancaster, M. A., Seidenberg, M., Smith, J. C., Nielson, K. A., Woodard, J. L., Durgerian, S., & Rao, S. M. (2016) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617716000904 · Cited by 27 · see citing works
Gozdas, E., Fingerhut, H., Chromik, L. C., O'Hara, R. M., Reiss, A. L., & Hosseini, S. M. H. (2020) · Scientific Reports · doi:10.1038/s41598-020-66796-y · Cited by 27 · see citing works
Zhao, T., Sheng, C., Bi, Q., Niu, W., Shu, N., & Han, Y. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.08.005 · Cited by 26 · see citing works
Diffusion tensor imaging studies in vascular disease: a review of the literature
Alves, G. S., Sudo, F. K., Alves, C. E. D. O., Ericeira-Valente, L., Moreira, D. M., Engelhardt, E., & Laks, J. (2012) · Dementia & Neuropsychologia · doi:10.1590/s1980-57642012dn06030008 · Cited by 23 · see citing works
Bazydlo, A., Zammit, M. D., Wu, M., Dean, D., Johnson, S. C., Tudorascu, D., Cohen, A. D., Cody, K. A., Ances, B. M., Laymon, C. M., et al. (2021) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-021-09366-1 · Cited by 23 · see citing works
Li, Y., Feng, F., Lin, P., Huang, Z., Liu, T., Zhou, B., Yao, H., Zheng, L., Li, C., Wang, P., et al. (2018) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2018.09.010 · Cited by 23 · see citing works
Kastyak-Ibrahim, M. Z., Di Curzio, D. L., Buist, R., Herrera, S. L., Albensi, B. C., Del Bigio, M. R., & Martin, M. (2013) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2013.06.013 · Cited by 23 · see citing works
Ito, K., Sasaki, M., Takahashi, J., Uwano, I., Yamashita, F., Higuchi, S., Goodwin, J., Harada, T., Kudo, K., & Terayama, Y. (2015) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2015.01.020 · Cited by 26 · see citing works
Brown, R. B., Traylor, M., Burgess, S., Sawcer, S. J., & Markus, H. S. (2019) · Stroke · doi:10.1161/strokeaha.118.023649 · Cited by 23 · see citing works
Ferreira, S., Pitman, K. A., Summers, B. S., Wang, S., Young, K. M., & Cullen, C. L. (2020) · European Journal of Neuroscience · doi:10.1111/ejn.14726 · Cited by 22 · see citing works
Long-term cognitive training enhances fluid cognition and brain connectivity in individuals with MCI
Gozdas, E., Avelar-Pereira, B., Fingerhut, H., Dacorro, L., Jo, B., Williams, L. M., O’Hara, R., & Hosseini, S. M. H. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03153-x · Cited by 23 · see citing works
Wu, Y., Wu, W., Liu, Q.-P., He, W., Ding, H., Nedelská, Z., Hort, J., Zhang, B., & Xu, Y. (2016) · Oncotarget · doi:10.18632/oncotarget.13409 · Cited by 20 · see citing works
Qi, X., Du, Z. J., Zhu, L., Liu, X., Xu, H., Zhou, Z., Zhong, C., Li, S., Wang, L., & Zhang, Z. (2019) · Neuroscience Bulletin · doi:10.1007/s12264-018-0325-4 · Cited by 19 · see citing works
Systems modeling of white matter microstructural abnormalities in Alzheimer's disease
Horgusluoglu, E., Xiao, G., Wang, M., Wang, Q., Zhou, X., Nho, K. T., Saykin, A. J., Schadt, E. E., & Zhang, B. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102203 · Cited by 19 · see citing works
Du, J., Zhu, H., Yu, L. H., Lu, P., Qiu, Y., Zhou, Y., Cao, W., Lu, D., Zhao, W. D., Yang, J., et al. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.687959 · Cited by 19 · see citing works
Lim, J., Park, Y. H., Jang, J., Park, S. Y., Kim, S., & Initiative, A. D. N. (2014) · PLoS ONE · doi:10.1371/journal.pone.0091400 · Cited by 17 · see citing works
Roher, A. E., Maarouf, C. L., Malek‐Ahmadi, M. H., Wilson, J., Kokjohn, T. A., Daugs, I. D., Whiteside, C. M., Kalback, W. M., Macias, M. M. P., Jacobson, S. A., et al. (2013) · Europe PMC (PubMed Central) · Cited by 17 · see citing works
Gilligan, T. M., Sibilia, F., Farrell, D., Lyons, D., Kennelly, S., & Bokde, A. L. W. (2019) · PLoS ONE · doi:10.1371/journal.pone.0222977 · Cited by 12 · see citing works
Self-citationKincses, Z. T., Hořínek, D., Szabó, N., Tóth, E. M., Csete, G., Buksakowska, I., Hort, J., & Vécsei, L. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-122431 · Cited by 15 · see citing works
Automatic DTI-based parcellation of the corpus callosum through the watershed transform
Rittner, L., Freitas, P. F., Appenzeller, S., & Lotufo, R. (2014) · Research on Biomedical Engineering · doi:10.1590/rbeb.2014.012 · Cited by 15 · see citing works
Data-Driven Corpus Callosum Parcellation Method Through Diffusion Tensor Imaging
Cover, G. S., Pereira, M. B., Bento, M., Appenzeller, S., & Rittner, L. (2017) · IEEE Access · doi:10.1109/access.2017.2761701 · Cited by 12 · see citing works
Kincses, Z. T., Király, A., Veréb, D., & Vécsei, L. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-143195 · Cited by 10 · see citing works
Impaired Frontolimbic Connectivity and Depressive Symptoms in Patients with Alzheimer's Disease
Zhu, Q., Lin, M., Bi, S., Ni, Z., Zhao, J., Chen, B., Fan, G., & Shang, X. (2016) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000447056 · Cited by 10 · see citing works
Zhou, Y., Wei, L., Gao, S., Wang, J., & Hu, Z. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1209378 · Cited by 8 · see citing works
The Aging Patterns of Brain Structure, Function, and Energy Metabolism
Dang, M., Sang, F., Long, S., & Chen, Y. (2023) · Advances in experimental medicine and biology · doi:10.1007/978-981-99-1627-6_7 · Cited by 8 · see citing works
White matter microstructure associations to amyloid burden in adults with Down syndrome
Bazydlo, A., Zammit, M. D., Wu, M., Lao, P. J., Dean, D., Johnson, S. C., Tudorascu, D., Cohen, A. D., Cody, K. A., Ances, B. M., et al. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102908 · Cited by 8 · see citing works
Ankul Singh, S., Ansari, M. N., Elossaily, G. M., Vellapandian, C., & Prajapati, B. G. (2024) · ACS Omega · doi:10.1021/acsomega.3c06328 · Cited by 7 · see citing works
Committeri, G., Bondi, D., Sestieri, C., Matteo, G. D., Piervincenzi, C., Doria, C., Ruffini, R., Baldassarre, A., Pietrangelo, T., Sepe, R., et al. (2022) · High Altitude Medicine & Biology · doi:10.1089/ham.2021.0029 · Cited by 6 · see citing works
Could the Fornix Be Used To Predict Cognitive Impairment In the Elderly?
Fletcher, E. M. (2013) · Future Neurology · doi:10.2217/fnl.13.63 · Cited by 6 · see citing works
Alves, G. S., de Carvalho, L. D. A., Sudo, F. K., Briand, L., Laks, J., & Engelhardt, E. (2017) · Dementia & Neuropsychologia · doi:10.1590/1980-57642016dn11-040003 · Cited by 6 · see citing works
Li, L., Yang, W., Wan, Y., Shen, H., Wang, T., Ping, L., Liu, C., Chen, M., Yu, H., Jin, S., et al. (2023) · Brain Imaging and Behavior · doi:10.1007/s11682-023-00791-5 · Cited by 5 · see citing works
He, F., Initiative, A. D. N., Zhang, Y., Wu, X., Li, Y., Zhao, J., Fang, P., Fan, L., Li, C., Liu, T., et al. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210495 · Cited by 5 · see citing works
- Authors
- 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., Coughlan, T., Prvulovic, D., & Hampel, H.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Trinity College Dublin (IE)
- San Francisco VA Medical Center (US)
- Cambridgeshire and Peterborough NHS Foundation Trust (GB)
- Goethe University Frankfurt (DE)
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-06-30
- Volume
- 6
- Issue
- 6
- Pages
- e21745
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3128090
- OpenAlex
- W2111813385
- Cited by
- 119
- References
- 86
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 2 · 2023: 9 · 2022: 5 · 2021: 6 · 2020: 7 · 2019: 7 · 2018: 4 · 2017: 10 · 2016: 8 · 2015: 10 · 2014: 10 · 2013: 19 · 2012: 14
- FWCI
- 10.77
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Arrow@dit (Dublin Institute of Technology) (submittedVersion, cc-by-nc-sa)
- HAL (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt) (submittedVersion, cc-by)
- Funders
- Irish Research Council for Science, Engineering and Technology
- Science Foundation Ireland (08/IN.1/B1846)
- Irish Research Council
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- white matter injury, mild cognitive impairment, Alzheimer's disease, diffusion MRI, axial diffusion, radial diffusion, fractional anisotropy, tract-based spatial statistics, posterior cingulum, precuneus, prefrontal cortex, uncinate fasciculus, forceps minor, fornix, corpus callosum, temporal lobe, memory networks, disease progression
- MeSH terms
- Aged, Alzheimer Disease, Female, Humans, Male, Middle Aged, Diffusion Magnetic Resonance Imaging, Cognitive Dysfunction
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