Associations between white matter microstructure and amyloid burden in preclinical Alzheimer’s disease: a multimodal imaging investigation.
Open accessAbstract
Some cognitively healthy individuals develop brain amyloid accumulation, suggestive of incipient Alzheimer's disease (AD), but the effect of amyloid on other potentially informative imaging modalities, such as Diffusion Tensor Imaging (DTI), in characterizing brain changes in preclinical AD requires further exploration. In this study, a sample (N = 139, mean age 60.6, range 46 to 71) from the Wisconsin Registry for Alzheimer's Prevention (WRAP), a cohort enriched for AD risk factors, was recruited for a multimodal imaging investigation that included DTI and [C-11]Pittsburgh Compound B (PiB) positron emission tomography (PET). Participants were grouped as amyloid positive (Aβ+), amyloid indeterminate (Aβi), or amyloid negative (Aβ-) based on the amount and pattern of amyloid deposition. Regional voxel-wise analyses of four DTI metrics, fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (Da), and radial diffusivity (Dr), were performed based on amyloid grouping. Three regions of interest (ROIs), the cingulum adjacent to the corpus callosum, hippocampal cingulum, and lateral fornix, were selected based on their involvement in the early stages of AD. Voxel-wise analysis revealed higher FA among Aβ+ compared to Aβ- in all three ROIs and in Aβi compared to Aβ- in the cingulum adjacent to the corpus callosum. Follow-up exploratory whole-brain analyses were consistent with the ROI findings, revealing multiple regions where higher FA was associated with greater amyloid. Lower fronto-lateral gray matter MD was associated with higher amyloid burden. Further investigation showed a negative correlation between MD and PiB signal, suggesting that Aβ accumulation impairs diffusion. Interestingly, these findings in a largely presymptomatic sample are in contradistinction to relationships reported in the literature in symptomatic disease stages of Mild Cognitive Impairment and AD, which usually show higher MD and lower FA. Together with analyses showing that cognitive function in these participants is not associated with any of the four DTI metrics, the present results suggest an early relationship between PiB and DTI, which may be a meaningful indicator of the initiating or compensatory mechanisms of AD prior to cognitive decline.
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Recent evidence in patients indicates that this increase in FA could be related to soluble Aβ rising in the early stage of AD.
“Recent evidence in patients indicates that this increase in FA could be related to soluble Aβ rising in the early stage of AD (Racine et al., 2014).”
From Early stage alterations in white matter and decreased functional interhemispheric hippocampal connectivity in the 3xTg mouse model of Alzheimer’s disease. (2019) · cites this paper as Racine et al., 2014
The Results (Region of interest; Whole brain) report higher FA in participants with greater amyloid burden, consistent with an association in preclinical AD. But the paper measured amyloid deposition using PiB PET, not rising soluble Aβ, and the Discussion states that all participants were cognitively normal rather than patients with symptomatic AD. Page numbers are unavailable in our copy. (LLM, conf=0.89)
Experimental — accuracy not yet measuredDTI metrics or structural connectome alterations showed correlations with amyloid burden or levels of cerebrospinal fluid amyloid and tau.
“Diffusion tensor imaging (DTI) metrics or structural connectome alterations showed correlations with amyloid burden (Racine et al., 2014) or levels of cerebrospinal fluid amyloid and tau (Tucholka et al., 2018).”
From Effects of Alzheimer’s and Vascular Pathologies on Structural Connectivity in Early- and Late-Onset Alzheimer’s Disease (2021) · cites this paper as Racine et al., 2014
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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
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,653 · see citing works
The Neuropsychological Assessment
Ogden, J. A. (2005) · Oxford University Press eBooks · doi:10.1093/oso/9780195171358.003.0002 · Cited by 4,382 · see citing works
Diffusion tensor imaging of the brain
Alexander, A. L., Lee, J. E., Lazar, M., & Field, A. S. (2007) · Neurotherapeutics · doi:10.1016/j.nurt.2007.05.011 · Cited by 2,747 · see citing works
Self-citationVillemagne, V. L., Burnham, S., Bourgeat, P., Brown, B., Ellis, K. A., Salvado, O., Szoeke, C., Macaulay, S. L., Martins, R., Maruff, P., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70044-9 · Cited by 2,279 · see citing works
The role of the posterior cingulate cortex in cognition and disease
Leech, R., & Sharp, D. J. (2014) · Brain · doi:10.1093/brain/awt162 · Cited by 2,247 · see citing works
Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration
Klein, A., Andersson, J., Ardekani, B. A., Ashburner, J., Avants, B., Chiang, M.-C., Christensen, G. E., Collins, D. L., Gee, J., Hellier, P., et al. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.12.037 · Cited by 2,227 · see citing works
Fiber Tract–based Atlas of Human White Matter Anatomy
Wakana, S., Jiang, H., Nagae‐Poetscher, L. M., van Zijl, P. C. M., & Mori, S. (2004) · Radiology · doi:10.1148/radiol.2301021640 · Cited by 2,023 · see citing works
High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity
Tuch, D. S., Reese, T. G., Wiegell, M. R., Makris, N., Belliveau, J. W., & Wedeen, V. J. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10268 · Cited by 1,548 · cited 1× · see citing works
“Future studies should combine DTI with high angular resolution diffusion imaging (HARDI), which uses 40 or more diffusion directions, to help resolve fiber orientation limitations and improve interpretations of DTI metrics in regions suspected to contain crossing fibers (Alexander et al., 2011; Tournier et al., 2008;…”
Fiber tract-based atlas of human white matter anatomy
Wakana, S. (2006) · Medical Entomology and Zoology · Cited by 1,544 · see citing works
Remyelination in the CNS: from biology to therapy
Franklin, R. J. M., & ffrench-Constant, C. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2480 · Cited by 1,544 · see citing works
Correlation Between Elevated Levels of Amyloid β-Peptide in the Brain and Cognitive Decline
Näslund, J. (2000) · JAMA · doi:10.1001/jama.283.12.1571 · Cited by 1,268 · see citing works
Jack, C. R., Lowe, V. J., Weigand, S. D., Wiste, H. J., Senjem, M. L., Knopman, D. S., Shiung, M. M., Gunter, J. L., Boeve, B. F., Kemp, B. J., et al. (2009) · Brain · doi:10.1093/brain/awp062 · Cited by 1,099 · see citing works
Rabin, L., Barr, W., & Burton, L. A. (2004) · Archives of Clinical Neuropsychology · doi:10.1016/j.acn.2004.02.005 · Cited by 829 · see citing works
Twenty‐five pitfalls in the analysis of diffusion MRI data
Jones, D. K., & Cercignani, M. (2010) · NMR in Biomedicine · doi:10.1002/nbm.1543 · Cited by 827 · see citing works
Evidence 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 805 · see citing works
Episodic memory loss is related to hippocampal-mediated -amyloid deposition in elderly subjects
Mormino, E. C., Kluth, J. T., Madison, C. M., Rabinovici, G. D., Baker, S. L., Miller, B. L., Koeppe, R. A., Mathis, C. A., Weiner, M. W., Jagust, W. J., et al. (2009) · Brain · doi:10.1093/brain/awn320 · Cited by 684 · see citing works
Trajectories of brain aging in middle-aged and older adults: Regional and individual differences
Raz, N., Ghisletta, P., Rodrigue, K. M., Kennedy, K. M., & Lindenberger, U. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.020 · Cited by 626 · see citing works
Spatial transformations of diffusion tensor magnetic resonance images
Alexander, D. C., Pierpaoli, C., Basser, P. J., & Gee, J. C. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.963816 · Cited by 610 · see citing works
Tournier, J., Yeh, C., Calamante, F., Cho, K.-H., Connelly, A., & Lin, C. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.05.002 · Cited by 591 · see citing works
Rate of memory decline in AD is related to education and occupation: Cognitive reserve?
Stern, Y., Albert, S., Tang, M.-X., & Tsai, W.-Y. (1999) · Neurology · doi:10.1212/wnl.53.9.1942 · Cited by 557 · 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
Edison, P., Archer, H. A., Gerhard, A., Hinz, R., Pavese, N., Turkheimer, F. E., Hammers, A., Tai, Y. F., Fox, N., Kennedy, A., et al. (2008) · Neurobiology of Disease · doi:10.1016/j.nbd.2008.08.001 · Cited by 513 · see citing works
Applications of diffusion‐weighted and diffusion tensor MRI to white matter diseases – a review
Horsfield, M. A., & Jones, D. K. (2002) · NMR in Biomedicine · doi:10.1002/nbm.787 · Cited by 468 · see citing works
Deformable registration of diffusion tensor MR images with explicit orientation optimization
ZHANG, H., Yushkevich, P. A., Alexander, D. C., & Gee, J. C. (2006) · Medical Image Analysis · doi:10.1016/j.media.2006.06.004 · Cited by 461 · see citing works
Alexander, A. L., Hurley, S. A., Samsonov, A. A., Adluru, N., Hosseinbor, A. P., Mossahebi, P., Tromp, D., Zakszewski, E., & Field, A. S. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0071 · Cited by 450 · see citing works
Self-citationConstruct validity in the trail making test: What makes part B harder?
Gaudino, E. A., Geisler, M. W., & Squires, N. K. (1995) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/01688639508405143 · Cited by 424 · see citing works
β-Amyloid burden in healthy aging: Regional distribution and cognitive consequences
Rodrigue, K. M., Kennedy, K. M., Devous, M. D., Rieck, J. R., Hebrank, A. C., Diaz-Arrastia, R., Mathews, D., & Park, D. C. (2012) · Neurology · doi:10.1212/wnl.0b013e318245d295 · Cited by 419 · see citing works
A meta-analysis of diffusion tensor imaging in mild cognitive impairment and Alzheimer's disease
Sexton, C. E., Kalu, U. G., Filippini, N., Mackay, C. E., & Ebmeier, K. P. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.05.019 · Cited by 410 · see citing works
Relation of cognitive activity to risk of developing Alzheimer disease
Wilson, R. S., Scherr, P. A., Schneider, J. A., Tang, Y., & Bennett, D. A. (2007) · Neurology · doi:10.1212/01.wnl.0000271087.67782.cb · Cited by 400 · see citing works
Trail Making Test errors in normal aging, mild cognitive impairment, and dementia
Ashendorf, L., Jefferson, A. L., O’Connor, M. K., Chaisson, C. E., Green, R. C., & Stern, R. A. (2008) · Archives of Clinical Neuropsychology · doi:10.1016/j.acn.2007.11.005 · Cited by 397 · see citing works
Jones, D. K., & Leemans, A. (2010) · Methods in molecular biology · doi:10.1007/978-1-61737-992-5_6 · Cited by 391 · see citing works
Deformable Registration of Diffusion Tensor MR Images with Explicit Orientation Optimization
Zhang, H. G., Yushkevich, P. A., & Gee, J. C. (2005) · Lecture notes in computer science · doi:10.1007/11566465_22 · Cited by 389 · see citing works
Dissecting phenotypic traits linked to human resilience to Alzheimer’s pathology
Perez-Nievas, B. G., Stein, T. D., Tai, H.-C., Dols-Icardo, O., Scotton, T. C., Barroeta-Espar, I., Fernandez-Carballo, L., de Munain, E. L., Perez, J., Marquie, M., et al. (2013) · Brain · doi:10.1093/brain/awt171 · Cited by 387 · see citing works
Villain, 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
White matter damage on diffusion tensor imaging correlates with age-related cognitive decline
Charlton, R. A., Barrick, T. R., McIntyre, D. J., Shen, Y., O'Sullivan, M., Howe, F. A., Clark, C. A., Morris, R. G., & Markus, H. S. (2006) · Neurology · doi:10.1212/01.wnl.0000194256.15247.83 · Cited by 354 · see citing works
Effectiveness of regional DTI measures in distinguishing Alzheimer’s disease, MCI, and normal aging
Nir, T. M., Jahanshad, N., Villalon-Reina, J. E., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.07.006 · Cited by 348 · see citing works
Sullivan, E. V., Rohlfing, T., & Pfefferbaum, A. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.04.007 · Cited by 346 · see citing works
Investigation of MS normal-appearing brain using diffusion tensor MRI with clinical correlations
Ciccarelli, O., Werring, D. J., Wheeler‐Kingshott, C. A. M. G., Barker, G. J., Parker, G. J. M., Thompson, A. J., & Miller, D. H. (2001) · Neurology · doi:10.1212/wnl.56.7.926 · Cited by 342 · see citing works
Hoeft, F., Barnea‐Goraly, N., Haas, B. W., Golarai, G., Ng, D., Mills, D. L., Korenberg, J. R., Bellugi, U., Galaburda, A. M., & Reiss, A. L. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.3591-07.2007 · Cited by 305 · see citing works
Lutz, J., Jäger, L., de Quervain, D., Krauseneck, T., Padberg, F., Wichnalek, M., Beyer, A., Stahl, R., Zirngibl, B., Morhard, D., et al. (2008) · Arthritis & Rheumatism · doi:10.1002/art.24070 · Cited by 291 · 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
Diffusion tensor imaging in mild cognitive impairment and Alzheimerʼs disease: a review
Chua, T. C., Wen, W., Slavin, M. J., & Sachdev, P. S. (2008) · Current Opinion in Neurology · doi:10.1097/wco.0b013e3282f4594b · Cited by 273 · see citing works
White matter hyperintensities and cognition: Testing the reserve hypothesis
Brickman, A. M., Siedlecki, K. L., Muraskin, J., Manly, J. J., Luchsinger, J. A., Yeung, L., Brown, T. R., DeCarli, C. S., & Stern, Y. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.10.013 · Cited by 265 · see citing works
Cerebral White Matter Integrity Mediates Adult Age Differences in Cognitive Performance
Madden, D. J., Spaniol, J., Costello, M. C., Bucur, B., White, L. E., Cabeza, R., Davis, S. W., Dennis, N. A., Provenzale, J. M., & Huettel, S. A. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21047 · Cited by 265 · see citing works
Zhang, H. G., Avants, B., Yushkevich, P. A., Woo, J. H., Wang, S., McCluskey, L. F., Elman, L. B., Melhem, E. R., & Gee, J. C. (2007) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2007.906784 · Cited by 263 · see citing works
Cognitive reserve: Implications for diagnosis and prevention of Alzheimer’s disease
Scarmeas, N., & Stern, Y. (2004) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-004-0084-7 · Cited by 251 · 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
Voxel-based analysis of PET amyloid ligand [ 11 C]PIB uptake in Alzheimer disease
Kemppainen, N. M., Aalto, S., Wilson, I. A., Någren, K., Helin, S., Brück, A., Oikonen, V., Kailajärvi, M., Scheinin, M., Viitanen, M. H., et al. (2006) · Neurology · doi:10.1212/01.wnl.0000240117.55680.0a · Cited by 227 · see citing works
Regionally-specific diffusion tensor imaging in mild cognitive impairment and Alzheimer’s disease.
Mielke, M. M., Kozauer, N. A., Chan, K. C. G., George, M., Toroney, J., Zerrate, M., Bandeen-Roche, K., Wang, M.-C., vanZijl, P., & Pekar, J. J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.054 · Cited by 225 · see citing works
Sager, M. A., Hermann, B. P., & Rue, A. L. (2005) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988705281882 · Cited by 224 · see citing works
Self-citationAmyloid burden and neural function in people at risk for Alzheimer's Disease
Johnson, S. C., Christian, B. T., Okonkwo, O. C., Oh, J. M., Harding, S., Xu, G., Hillmer, A. T., Wooten, D. W., Murali, D., Barnhart, T. E., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.09.028 · Cited by 218 · see citing works
Self-citationDiffusion barriers evoked in the rat cortex by reactive astrogliosis
Roitbak, T., & Sykov�, E. (1999) · Glia · doi:10.1002/(sici)1098-1136(199910)28:1 · Cited by 208 · see citing works
Ryan, N. S., Keihaninejad, S., Shakespeare, T. J., Lehmann, M., Crutch, S. J., Malone, I. B., Thornton, J. S., Mancini, L., Hyare, H., Yousry, T., et al. (2013) · Brain · doi:10.1093/brain/awt065 · Cited by 205 · see citing works
Co-Localization of Amyloid Beta and Tau Pathology in Alzheimer's Disease Synaptosomes
Fein, J. A., Sokolow, S., Miller, C. A., Vinters, H. V., Yang, F., Cole, G. M., & Gylys, K. H. (2008) · American Journal Of Pathology · doi:10.2353/ajpath.2008.070829 · Cited by 203 · see citing works
Neuropsychological Assessment, Fourth Edition
Kapur, N. (2005) · Journal of Neurology · doi:10.1007/s00415-005-0003-0 · Cited by 189 · see citing works
Bendlin, B. B., Fitzgerald, M. E., Ries, M. L., Xu, G., Kastman, E. K., Thiel, B., Rowley, H. A., Lazar, M., Alexander, A. L., & Johnson, S. C. (2010) · Developmental Neuropsychology · doi:10.1080/87565641003696775 · Cited by 186 · see citing works
Self-citationAβ-independent processes—rethinking preclinical AD
Chételat, G. (2013) · Nature Reviews Neurology · doi:10.1038/nrneurol.2013.21 · Cited by 184 · see citing works
AMNESIA IN MAN FOLLOWING TRANSECTION OF THE FORNIX
Gaffan, D., & Gaffan, E. A. (1991) · Brain · doi:10.1093/brain/114.6.2611 · Cited by 182 · see citing works
The Auditory-Verbal Learning Test (AVLT): Norms for ages 55 years and older.
Ivnik, R. J., Malec, J. F., Tangalos, E. G., Petersen, R. C., Kokmen, E., & Kurland, L. T. (1990) · Psychological Assessment · doi:10.1037/1040-3590.2.3.304 · Cited by 179 · see citing works
Song, 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
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
Bound pool fractions complement diffusion measures to describe white matter micro and macrostructure
Stikov, N., Perry, L. M., Mezer, A., Rykhlevskaia, E. I., Wandell, B. A., Pauly, J. M., & Dougherty, R. F. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.068 · Cited by 145 · see citing works
White matter abnormalities observed in bipolar disorder: a diffusion tensor imaging study
Yurgelun-Todd, D. A., Silveri, M. M., Gruber, S. A., Rohan, M. L., & Pimentel, P. (2007) · Bipolar Disorders · doi:10.1111/j.1399-5618.2007.00395.x · Cited by 139 · see citing works
Wu, T. C., Wilde, E. A., Bigler, E. D., Yallampalli, R., McCauley, S. R., Troyanskaya, M., Chu, Z. D., Li, X., Hanten, G. R., Hunter, J. V., et al. (2009) · Journal of Neurotrauma · doi:10.1089/neu.2009.1110 · Cited by 135 · see citing works
Responses of Glial Cells to Stress and Glucocorticoids
Jáuregui-Huerta, F., Ruvalcaba-Delgadillo, Y., González-Pérez, Ó., González-Castañeda, R. E., Garcı́a‐Estrada, J., & Luquı́n, S. (2010) · Current Immunology Reviews · doi:10.2174/157339510791823790 · Cited by 127 · 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
Self-citationSun, 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 · see citing works
DTI registration in atlas based fiber analysis of infantile Krabbe disease
Wang, Y., Gupta, A., Liu, Z., Zhang, H. G., Escolar, M. L., Gilmore, J. H., Gouttard, S., Fillard, P., Maltbie, E. A., Gerig, G., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.038 · Cited by 120 · see citing works
Ziolko, S. K., Weissfeld, L. A., Klunk, W. E., Mathis, C. A., Hoge, J. A., Lopresti, B. J., DeKosky, S. T., & Price, J. C. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.05.063 · Cited by 119 · see citing works
Rodríguez, J. J., Witton, J., Olabarria, M., Noristani, H. N., & Verkhratsky, A. (2010) · Cell Death & Disease · doi:10.1038/cddis.2009.2 · Cited by 114 · see citing works
Copenhaver, B. R., Rabin, L. A., Saykin, A. J., Roth, R. M., Wishart, H. A., Flashman, L. A., Santulli, R. B., McHugh, T. L., & Mamourian, A. C. (2006) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2006.01.015 · Cited by 112 · see citing works
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007
Ayache, N., Sebastien Ourselin, A., & Maeder, A. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-75759-7 · Cited by 110 · see citing works
Mulkern, R. V., Zengingönül, H. P., Robertson, R. L., Bogner, P., Zou, K. H., Guðbjartsson, H., Guttmann, C. R. G., Holtzman, D. H., Kyriakos, W. E., Jolesz, F. A., et al. (2000) · Magnetic Resonance in Medicine · doi:10.1002/1522-2594(200008)44:2 · Cited by 109 · see citing works
Self-citationRadon in homes--a possible cause of lung cancer.
Edling, C., Kling, H., & Axelson, O. (1984) · Scandinavian Journal of Work Environment & Health · doi:10.5271/sjweh.2366 · Cited by 108 · see citing works
Effect of parental family history of Alzheimer's disease on serial position profiles
Rue, A. L., Hermann, B. P., Jones, J. E., Johnson, S. C., Asthana, S., & Sager, M. A. (2008) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2008.03.009 · Cited by 94 · see citing works
Self-citationElastic Matching of Diffusion Tensor Images
Alexander, D. C., & Gee, J. C. (2000) · Computer Vision and Image Understanding · doi:10.1006/cviu.1999.0817 · Cited by 90 · see citing works
Tovar-Moll, F. F., Evangelou, I. E., Chiu, A. W., Richert, N. D., Ostuni, J. L., Ohayon, J. M., Auh, S., Ehrmantraut, M. E., Talagala, S. L., McFarland, H. F., et al. (2009) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1564 · Cited by 89 · see citing works
The Fornix Sign: A Potential Sign for Alzheimer's Disease Based on Diffusion Tensor Imaging
Oishi, K., Mielke, M. M., Albert, M., Lyketsos, C. G., & Mori, S. (2011) · Journal of Neuroimaging · doi:10.1111/j.1552-6569.2011.00633.x · Cited by 84 · see citing works
Effects of beta-amyloid accumulation on neural function during encoding across the adult lifespan
Kennedy, K. M., Rodrigue, K. M., Devous, M. D., Hebrank, A. C., Bischof, G. N., & Park, D. C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.077 · Cited by 84 · 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
Unbiased White Matter Atlas Construction Using Diffusion Tensor Images
Zhang, H. G., Yushkevich, P. A., Rueckert, D., & Gee, J. C. (2007) · Springer eBooks · doi:10.1007/978-3-540-75759-7_26 · Cited by 81 · see citing works
Diffusion tensor MRI to investigate dementias: a brief review
Bozzali, M., & Cherubini, A. (2007) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2007.03.017 · Cited by 80 · see citing works
Hagen, K., Ehlis, A., Haeussinger, F. B., Heinzel, S., Dresler, T., Mueller, L., Herrmann, M. J., Fallgatter, A. J., & Metzger, F. G. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.014 · Cited by 76 · see citing works
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 · see citing works
Hannoun, S., Durand‐Dubief, F., Confavreux, C., Ibarrola, D., Streichenberger, N., Cotton, F., Guttmann, C. R. G., & Sappey‐Marinier, D. (2012) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2983 · Cited by 71 · see citing works
A diffusion tensor brain template for Rhesus Macaques
Adluru, N., Zhang, H. G., Fox, A. S., Shelton, S. E., Ennis, C. M., Bartosic, A. M., Oler, J. A., Tromp, D., Zakszewski, E., Gee, J. C., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.029 · Cited by 67 · see citing works
Self-citationRestricted diffusion in the brain of transgenic mice with cerebral amyloidosis
Mueggler, T., Meyer‐Luehmann, M., Rausch, M., Staufenbiel, M., Jucker, M., & Rudin, M. (2004) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2004.03534.x · Cited by 59 · see citing works
Lezak (1984) · PubMed · Cited by 46 · see citing works
White Matter Hyperintensities and Cognitive Dysfunction in Alzheimer Disease
Heo, J., Lee, S., Chu, K., Park, H.-J., Shim, J.-Y., & Kim, M. (2009) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988709335800 · Cited by 43 · see citing works
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 · see citing works
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 · see citing works
KNIGHT, R., MCMAHON, J., Skeaff, C. M., & Green, T. (2007) · Archives of Clinical Neuropsychology · doi:10.1016/j.acn.2007.03.005 · Cited by 36 · see citing works
Okonkwo, O. C., Oh, J. M., Koscik, R. L., Jonaitis, E. M., Cleary, C. A., Dowling, N. M., Bendlin, B. B., LaRue, A. A., Hermann, B. P., Barnhart, T. E., et al. (2014) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617714000113 · Cited by 28 · see citing works
Self-citationDiffusion tensor magnetic resonance imaging of the brain in app transgenic mice: A cohort study.
Müller, H.-P., Kassubek, J., Vernikouskaya, I., Ludolph, A. C., Stiller, D., & Rasche, V. (2013) · PLoS ONE · doi:10.1371/journal.pone.0067630 · Cited by 22 · see citing works
Thiessen, J. D., Glazner, K. A. C., Nafez, S., Schellenberg, A. E., Buist, R. J., Martin, M., & Albensi, B. C. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0271-z · Cited by 20 · see citing works
Cognitive and brain reserve and the diagnosis and treatment of preclinical Alzheimer disease
Jicha, G. A., & Rentz, D. M. (2013) · Neurology · doi:10.1212/wnl.0b013e318289714a · Cited by 9 · see citing works
Diffusion tensor imaging in patients with Creutzfeldt-Jakob disease
Fujita, K., Nakane, S., Harada, M., Izumi, Y., & Kaji, R. (2008) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2008.148528 · Cited by 7 · see citing works
White matter hyperintensities and cognitive dysfunction in Alzheimer's disease
Heo, J., Lee, S. T., Chu, K., & Kim, M. H. (2009) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2009.02.178 · Cited by 2 · see citing works
Worsley (1996) · doi:10.1002/(sici)1097-0193(1996)4:1
Flagged first, then by citations
Research works printed but not linked: 2
- Lezak M.D. Neuropsychological Assessment Fourth ed. 2004 Oxford University Press New York, New York
- Pfefferbaum A. Sullivan E.V. Hedehus M. Lim K.O. Adalsteinsson E. Moseley M. Age-related decline in brain white matter anisotropy measured with spatially corrected echo-planar diffusion tensor imaging Magn. Reson. Med. 44 2000 259 268 10918325
Cited by
Sorted by citations
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 · see citing works
Cortical microstructural changes along the Alzheimer’s disease continuum
Montal, V., Vilaplana, E., Alcolea, D., Pegueroles, J., Pasternak, O., González‐Ortiz, S., Clarimón, J., Carmona‐Iragui, M., Illán‐Gala, I., Morenas‐Rodríguez, E., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.09.013 · Cited by 204 · see citing works
Gong, N.-J., Dibb, R., Bulk, M., van der Weerd, L., & Liu, C. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.02.019 · Cited by 162 · see citing works
Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders
Liu, S., Cai, W., Liu, S., Zhang, F., FULHAM, M., Feng, D., Pujol, S., & Kikinis, R. (2015) · Brain Informatics · doi:10.1007/s40708-015-0019-x · Cited by 150 · see citing works
Teipel, S. J., Grothe, M. J., Zhou, J. H., Sepulcre, J., Dyrba, M., Sorg, C., & Babiloni, C. (2016) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617715000995 · Cited by 115 · see citing works
Melah, K. E., Lu, S. Y.-F., Hoscheidt, S. M., Alexander, A. L., Adluru, N., Destiche, D. J., Carlsson, C. M., Zetterberg, H., Blennow, K., Okonkwo, O. C., et al. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-150897 · Cited by 109 · see citing works
Self-citationAcosta‐Cabronero, J., & Nestor, P. J. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00266 · Cited by 109 · 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
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
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 · see citing works
Rémy, F., Vayssière, N., Saint‐Aubert, L., Barbeau, E. J., & Pariente, J. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.01.014 · Cited by 87 · see citing works
Memory binding and white matter integrity in familial Alzheimer’s disease
Parra, M. A., Saarimäki, H., Bastin, M. E., Londoño, A. C., Pettit, L., Lopera, F., Della Sala, S., & Abrahams, S. (2015) · Brain · doi:10.1093/brain/awv048 · Cited by 79 · see citing works
Ruan, Q., D’Onofrio, G., Sancarlo, D., Bao, Z., Greco, A., & Yu, Z. (2016) · BMC Geriatrics · doi:10.1186/s12877-016-0281-7 · Cited by 79 · see citing works
Clark, L. R., Racine, A. M., Koscik, R. L., Okonkwo, O. C., Engelman, C. D., Carlsson, C. M., Asthana, S., Bendlin, B. B., Chappell, R. J., Nicholas, C. R. N., et al. (2016) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.12.009 · Cited by 75 · see citing works
Self-citationRacine, A. M., Clark, L. R., Berman, S. E., Koscik, R. L., Mueller, K. D., Norton, D., Nicholas, C. R. N., Blennow, K., Zetterberg, H., Jedynak, B., et al. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160528 · Cited by 74 · see citing works
Self-citationDong, J. W., Jelescu, I. O., Ades-Aron, B., Novikov, D. S., Friedman, K., Babb, J. S., Osorio, R. S., Galvin, J. E., Shepherd, T. M., & Fieremans, E. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.01.009 · Cited by 70 · see citing works
Chopra, S., Shaw, M. E., Shaw, T. B., Sachdev, P. S., Anstey, K. J., & Cherbuin, N. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.069 · Cited by 68 · see citing works
Cortical microstructural correlates of astrocytosis in autosomal-dominant Alzheimer disease
Vilaplana, E., Rodriguez-Vieitez, E., Ferreira, D., Montal, V., Almkvist, O., Wall, A., Lleó, A., Westman, E., Graff, C., Fortea, J., et al. (2020) · Neurology · doi:10.1212/wnl.0000000000009405 · Cited by 61 · see citing works
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 63 · see citing works
Early brain connectivity alterations and cognitive impairment in a rat model of Alzheimer’s disease
Muñoz‐Moreno, E., Tudela, R., López-Gil, X., & Sòria, G. (2018) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0346-2 · Cited by 63 · see citing works
Wang, Q., Wang, Y., Liu, J., Sutphen, C. L., Cruchaga, C., Blazey, T., Gordon, B. A., Su, Y., Chen, C., Shimony, J. S., et al. (2019) · NeuroImage: Clinical · doi:10.1016/j.nicl.2019.101767 · Cited by 63 · see citing works
Secondary prevention of Alzheimer’s dementia: neuroimaging contributions
ten Kate, M., Ingala, S., Schwarz, A. J., Fox, N. C., Chételat, G., van Berckel, B. N. M., Ewers, M., Foley, C., Gispert, J. D., Hill, D., et al. (2018) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0438-z · Cited by 60 · see citing works
Elahi, F. M., Marx, G., Cobigo, Y., Staffaroni, A. M., Kornak, J., Tosun, D., Boxer, A. L., Kramer, J. H., Miller, B. L., & Rosen, H. J. (2017) · NeuroImage: Clinical · doi:10.1016/j.nicl.2017.09.007 · Cited by 59 · see citing works
Binette, A. P., Theaud, G., Rheault, F., Roy, M., Collins, D. L., Levin, J., Mori, H., Lee, J. H., Farlow, M. R., Schofield, P. R., et al. (2021) · eLife · doi:10.7554/elife.62929 · Cited by 58 · see citing works
Finsterwalder, S., Vlegels, N., Gesierich, B. G., Caballero, M. Á. A., Weaver, N. A., Franzmeier, N., Georgakis, M. K., Konieczny, M. J., Koek, H. L., Dominantly Inherited Alzheimer Network (DIAN), et al. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.12150 · Cited by 56 · see citing works
An Algorithm for Preclinical Diagnosis of Alzheimer's Disease
Khan, T. K. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00275 · Cited by 55 · see citing works
Kim, W. H., Adluru, N., Chung, M. K., Okonkwo, O. C., Johnson, S. C., Bendlin, B. B., & Singh, V. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.05.050 · Cited by 54 · see citing works
Self-citationAmide Proton Transfer Magnetic Resonance Imaging of Alzheimer's Disease at 3.0 Tesla
Wang, R., Li, S.-Y., Chen, M., Zhou, J.-Y., Peng, D.-T., Zhang, C., & Dai, Y.-M. (2015) · Chinese Medical Journal · doi:10.4103/0366-6999.151658 · Cited by 53 · see citing works
Moreno‐Rodríguez, M., Perez, S. E., Nadeem, M., Malek‐Ahmadi, M. H., & Mufson, E. J. (2020) · Journal of Neuroinflammation · doi:10.1186/s12974-020-1723-x · Cited by 52 · see citing works
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 51 · see citing works
White matter hyperintensities are associated with subthreshold amyloid accumulation
Moscoso, A., Rey-Bretal, D., Silva-Rodríguez, J., Aldrey, J. M., Cortés, J., Pías-Peleteiro, J., Ruibal, Á., & Aguiar, P. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116944 · Cited by 49 · see citing works
“As with WMH, results are con fl icting (Molinuevo et al., 2014; Racine et al., 2014), probably for the reasons previously discussed.”
Manno, F. A. M., Isla, A. G., Manno, S. H. C., Ahmed, I., Cheng, S. H., Barrios, F. A., & Lau, C. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00039 · Cited by 49 · see citing works
Rabin, J. S., Perea, R. D., Buckley, R. F., Neal, T. E., Buckner, R. L., Johnson, K. A., Sperling, R. A., & Hedden, T. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy031 · Cited by 48 · see citing works
White matter microstructure disruption in early stage amyloid pathology
Collij, L. E., Ingala, S., Top, H., Wottschel, V., Stickney, K., Tomassen, J., Konijnenberg, E., ten Kate, M., Sudre, C. H., Alves, I. L., et al. (2021) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12124 · Cited by 48 · see citing works
Jitsuishi, T., & Yamaguchi, A. (2022) · Scientific Reports · doi:10.1038/s41598-022-08231-y · Cited by 47 · see citing works
Racine, A. M., Merluzzi, A. P., Adluru, N., Norton, D., Koscik, R. L., Clark, L. R., Berman, S. E., Nicholas, C. R. N., Asthana, S., Alexander, A. L., et al. (2017) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9732-9 · Cited by 47 · see citing works
Self-citationBiomarker clusters are differentially associated with longitudinal cognitive decline in late midlife
Racine, A. M., Koscik, R. L., Berman, S. E., Nicholas, C. R. N., Clark, L. R., Okonkwo, O. C., Rowley, H. A., Asthana, S., Bendlin, B. B., Blennow, K., et al. (2016) · Brain · doi:10.1093/brain/aww142 · Cited by 46 · see citing works
Self-citationDing, Q., Tanigawa, K., Kaneko, J., Totsuka, M., Katakura, Y., Imabayashi, E., Matsuda, H., & Hisatsune, T. (2018) · Aging and Disease · doi:10.14336/ad.2017.0809 · Cited by 43 · see citing works
Multimodal Voxel-Based Meta-Analysis of White Matter Abnormalities in Alzheimer’s Disease
Yin, R.-H., Tan, L., Liu, Y., Wang, W.-Y., Wang, H.-F., Jiang, T., Raduà, J., Zhang, Y., Gao, J., Canu, E., et al. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150139 · Cited by 42 · see citing works
Gray matter structural covariance networks changes along the Alzheimer's disease continuum
Li, K., Luo, X., Zeng, Q., Huang, P., Shen, Z., Xu, X., Xu, J., Wang, C., Zhou, J., & Zhang, M. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101828 · Cited by 42 · see citing works
Nakaya, M., Sato, N., Matsuda, H., Maikusa, N., Shigemoto, Y., Sone, D., Yamao, T., Ogawa, M., Kimura, Y., Chiba, E., et al. (2022) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1002/trc2.12356 · Cited by 41 · see citing works
White Matter Hypoperfusion and Damage in Dementia: Post‐Mortem Assessment
Love, S., & Miners, J. S. (2014) · Brain Pathology · doi:10.1111/bpa.12223 · Cited by 41 · see citing works
Cardiorespiratory fitness alters the influence of a polygenic risk score on biomarkers of AD
Schultz, S. A., Boots, E. A., Darst, B. F., Zetterberg, H., Blennow, K., Edwards, D. F., Koscik, R. L., Carlsson, C. M., Gallagher, C. L., Bendlin, B. B., et al. (2017) · Neurology · doi:10.1212/wnl.0000000000003862 · Cited by 40 · see citing works
Self-citationFleisher, A., Joshi, A. D., Sundell, K. L., Chen, Y., Kollack‐Walker, S., Lu, M., Chen, S., Devous, M. D., Seibyl, J. P., MAREK, K. L., et al. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.02.009 · Cited by 39 · see citing works
Hodgetts, C. J., Shine, J. P., Williams, H., Postans, M., Sims, R., Williams, J. H., Lawrence, A. D., & Graham, K. S. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.08.026 · Cited by 38 · see citing works
Loss and dispersion of superficial white matter in Alzheimer’s disease: a diffusion MRI study
Veale, T. D., Malone, I. B., Poole, T., Parker, T. D., Slattery, C. F., Paterson, R. W., Foulkes, A., Thomas, D. L., Schott, J. M., Zhang, H. G., et al. (2021) · Brain Communications · doi:10.1093/braincomms/fcab272 · Cited by 38 · see citing works
Tardif, C. L., Devenyi, G. A., Amaral, R. S. C., Pelleïeux, S., Poirier, J., Rosa‐Neto, P., Breitner, J. C. S., & Chakravarty, M. M. (2017) · Human Brain Mapping · doi:10.1002/hbm.23897 · Cited by 36 · see citing works
Lippa, S. M., Yeh, P., Gill, J., French, L. M., Brickell, T. A., & Lange, R. T. (2019) · Journal of Neurotrauma · doi:10.1089/neu.2018.6269 · Cited by 36 · see citing works
Ferreira, 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
White Matter Changes on Diffusion Tensor Imaging in the FINGER Randomized Controlled Trial
Stephen, R., for the FINGER study group, Solomon, A., Ngandu, T., Levälahti, E., Rinne, J. O., Kemppainen, N. M., Parkkola, R. K., Antikaínen, R., Strandberg, T. E., et al. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200423 · Cited by 36 · see citing works
Amyloid burden accelerates white matter degradation in cognitively normal elderly individuals
Vipin, A., Ng, K. K., Ji, F., Shim, H. Y., Lim, J. K. W., Pasternak, O., Zhou, J. H., & Initiative, A. D. N. (2019) · Human Brain Mapping · doi:10.1002/hbm.24507 · Cited by 36 · see citing works
Sensitivity of restriction spectrum imaging to memory and neuropathology in Alzheimer’s disease
Reas, E. T., Hagler, D. J., White, N. S., Kuperman, J. M., Bartsch, H., Cross, K., Loi, R. Q., Balachandra, A. R., Meloy, M. J., Wierenga, C. E., et al. (2017) · Alzheimer's Research & Therapy · doi:10.1186/s13195-017-0281-7 · 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
Ouyang, 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
Chondrogiorgi, M., Astrakas, L. G., Zikou, A. K., Weis, L., Xydis, V. G., Antonini, A., Argyropoulou, M. I., & Konitsiotis, S. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9863-7 · Cited by 35 · see citing works
Tu, M.-C., Lo, C., Huang, C.-F., Huang, W., Deng, J. F., & Hsu, Y. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00268 · Cited by 35 · see citing works
Nguyen, T. V., Hayes, M. I., Zbesko, J. C., Frye, J. B., Congrove, N. R., Belichenko, N. P., McKay, B. S., Longo, F. M., & Doyle, K. P. (2018) · Acta Neuropathologica Communications · doi:10.1186/s40478-018-0603-4 · Cited by 34 · see citing works
Development of human white matter fiber pathways: From newborn to adult ages
Cohen, A. H., Wang, R.-P., Wilkinson, M., MacDonald, P., Lim, A., & Takahashi, E. (2016) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2016.02.002 · Cited by 33 · see citing works
Multimodal neuroimaging computing: the workflows, methods, and platforms
Liu, S., Cai, W., Liu, S., Zhang, F., FULHAM, M. J., Feng, D. D., Pujol, S., & Kikinis, R. (2015) · Brain Informatics · doi:10.1007/s40708-015-0020-4 · Cited by 30 · see citing works
Tucholka, A., Grau-Rivera, O., Falcon, C., Rami, L., Sánchez-Valle, R., Lladó, A., Gispert, J. D., Molinuevo, J. L., & Initiative, F. T. A. D. N. (2018) · Journal of Alzheimer’s Disease · doi:10.3233/jad-170553 · Cited by 29 · see citing works
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 · see citing works
Greater Diffusion Restriction in White Matter in Preclinical Alzheimer Disease
Benitez, A. M., Jensen, J. H., Thorn, K. E., Dhiman, S., Fountain‐Zaragoza, S., Rieter, W. J., Spampinato, M. V., Hamlett, E. D., Nietert, P. J., Falangola, M. F., et al. (2022) · Annals of Neurology · doi:10.1002/ana.26353 · Cited by 27 · see citing works
Mohamed, A. Z., Cumming, P. D., & Nasrallah, F. A. (2021) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2021.04.014 · Cited by 27 · see citing works
Cortical microstructural associations with CSF amyloid and pTau
Nir, T. M., Villalón‐Reina, J. E., Salminen, L. E., Haddad, E., Zheng, H., Thomopoulos, S. I., Jack, C. R., Weiner, M. W., Thompson, P. M., Jahanshad, N., et al. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02321-7 · Cited by 26 · see citing works
Serial position effects in the Logical Memory Test: Loss of primacy predicts amyloid positivity
Bruno, D., Mueller, K. D., Betthauser, T. J., Chin, N. A., Engelman, C. D., Christian, B. T., Koscik, R. L., & Johnson, S. C. (2020) · Journal of Neuropsychology · doi:10.1111/jnp.12235 · Cited by 26 · see citing works
Self-citationFixel-based analysis reveals tau-related white matter changes in early stages of Alzheimer's disease
Ahmadi, K., Pereira, J. B., Westen, D. V., Pasternak, O., Zhang, F., Nilsson, M., Stomrud, E., Spotorno, N., & Hansson, O. (2024) · The Journal of Neuroscience · doi:10.1523/jneurosci.0538-23.2024 · Cited by 25 · see citing works
Re, T. J., Levman, J. E. D., Lim, A., Righini, A., Grant, P. E., & Takahashi, E. (2016) · Brain and Behavior · doi:10.1002/brb3.589 · Cited by 25 · see citing works
Initiative, A. D. N., Schilling, L. P., Pascoal, T. A., Zimmer, E. R., Mathotaarachchi, S. S., Shin, M., Rieder, C. R. D. M., Gauthier, S. G., Palmini, A., & Rosa‐Neto, P. (2018) · Molecular Neurobiology · doi:10.1007/s12035-018-1405-1 · Cited by 25 · see citing works
Sánchez, S., Duarte-Abritta, B., Abulafia, C., Pino, G. D., Bocaccio, H., Castro, M., Sevlever, G., Fonzo, G., Nemeroff, C., Gustafson, D., et al. (2020) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2019.12.019 · Cited by 20 · 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
Self-citationStimulating myelin restoration with BDNF: a promising therapeutic approach for Alzheimer's disease
Zota, I., Chanoumidou, K., Gravanis, A., & Charalampopoulos, I. (2024) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2024.1422130 · Cited by 23 · see citing works
Rabin, J. S., Perea, R. D., Buckley, R. F., Johnson, K. A., Sperling, R. A., & Hedden, T. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.05.005 · Cited by 23 · see citing works
Steinbach, R., Loewe, K., Kaufmann, J., Machts, J., Kollewe, K., Petri, S., Dengler, R., Heinze, H., Vielhaber, S., Schoenfeld, M. A., et al. (2015) · Journal of Neurology · doi:10.1007/s00415-015-7841-1 · Cited by 22 · see citing works
Song, Z., Farrell, M. E., Chen, X., & Park, D. C. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.02.021 · Cited by 21 · see citing works
Yang, Y., Schilling, K. G., Shashikumar, N., Jasodanand, V. H., Moore, E. E., Pechman, K. R., Bilgel, M., Beason‐Held, L. L., An, Y., Shafer, A. T., et al. (2023) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12425 · Cited by 20 · see citing works
Reas, E. T., Hagler, D. J., Kuperman, J. M., Wierenga, C. E., Galasko, D. R., White, N. S., Dale, A. M., Banks, S. J., McEvoy, L. K., & Brewer, J. B. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190871 · Cited by 20 · see citing works
Wang, W.-E., Chen, R., Mayrand, R. P., Adjouadi, M., Fang, R., DeKosky, S. T., Duara, R., Coombes, S. A., & Vaillancourt, D. E. (2023) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.10.013 · Cited by 20 · see citing works
Paulsen, A. J., Schubert, C. R., Pinto, A. A., Chappell, R. J., Chen, Y., Cruickshanks, K. J., Engelman, C. D., Ferrucci, L., Hancock, L. M., Johnson, S. C., et al. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.08.008 · Cited by 19 · see citing works
Self-citationFornix degeneration in risk factors of Alzheimer's disease, possible trigger of cognitive decline
Lacalle‐Aurioles, M., & Iturria‐Medina, Y. (2023) · Cerebral Circulation - Cognition and Behavior · doi:10.1016/j.cccb.2023.100158 · Cited by 18 · see citing works
Feng, Y., Chandio, B. Q., Villalón‐Reina, J. E., Thomopoulos, S. I., Nir, T. M., Benavidez, S. M., Laltoo, E., Chattopadhyay, T., Joshi, H., Venkatasubramanian, G., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14371 · Cited by 16 · see citing works
Global and Targeted Pathway Impact of Gliomas on White Matter Integrity Based on Lobar Localization
Ormond, D. R., D’Souza, S., & Thompson, J. A. (2017) · Cureus · doi:10.7759/cureus.1660 · Cited by 16 · see citing works
Haller, S., Montandon, M., Rodriguez, C. K., Garibotto, V., Lilja, J., Herrmann, F. R., & Giannakopoulos, P. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01228 · Cited by 16 · see citing works
D’Souza, S., Ormond, D. R., Costabile, J. D., & Thompson, J. A. (2019) · PLoS ONE · doi:10.1371/journal.pone.0225323 · Cited by 16 · see citing works
Kang, K., Yoon, U., Choi, W., & Lee, H. (2016) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2016.02.067 · Cited by 16 · see citing works
Initiative, A. D. N., González‐Escamilla, G., Miederer, I., Grothe, M. J., Schreckenberger, M., Muthuraman, M., & Groppa, S. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00247-9 · Cited by 16 · see citing works
Whole‐brain DTI parameters associated with tau protein and hippocampal volume in Alzheimer's disease
Magalhães, T. N. C., Casseb, R. F., Gerbelli, C. L. B., Pimentel‐Siva, L. R., Nogueira, M. H., Teixeira, C. V. L., Carletti, A. F. M. K., de Rezende, T. J. R., Joaquim, H. P. G., Talib, L. L., et al. (2023) · Brain and Behavior · doi:10.1002/brb3.2863 · Cited by 16 · see citing works
Influences of amyloid-β and tau on white matter neurite alterations in dementia with Lewy bodies
Mak, E., Reid, R. I., Przybelski, S. A., Lesnick, T. G., Schwarz, C. G., Senjem, M. L., Raghavan, S., Vemuri, P., Jack, C. R., Min, H.-K. P., et al. (2024) · npj Parkinson s Disease · doi:10.1038/s41531-024-00684-4 · Cited by 14 · see citing works
Dell’Acqua, F., Khan, W., Gottlieb, N., Giampietro, V., Ginestet, C. E., Bouls, D., Newhouse, S., Dobson, R., Banaschewski, T., Barker, G. J., et al. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-140519 · Cited by 14 · see citing works
Hwang, S. J., Adluru, N., Kim, W. H., Johnson, S. C., Bendlin, B. B., & Singh, V. (2018) · Brain Connectivity · doi:10.1089/brain.2018.0590 · Cited by 14 · see citing works
Self-citationLee, W. J., Yoon, C. W., Kim, S.-W., Jeong, H. J., Seo, S., Na, D. L., Noh, Y., & Seong, J.-K. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.606600 · Cited by 12 · see citing works
Long, R., Wang, Y., Chen, L., Deng, D., Mei, L., Mou, J., Tang, G., Han, F., Kemp, G. J., Gong, Q., et al. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.744723 · Cited by 12 · see citing works
Koncz, R., Initiative, A. D. N., Wen, W., Makkar, S. R., Lam, B. C. P., Crawford, J. D., Rowe, C. C., & Sachdev, P. S. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-210358 · Cited by 12 · see citing works
Mueller, S. G., & Weiner, M. W. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00418 · Cited by 12 · see citing works
A Multi-Dimensional Model of Fatigue in Old Age: Implications for Brain Aging
Lin, F. V. (2022) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2022.10.007 · Cited by 10 · see citing works
Lindberg, O. E., Kern, S., Skoog, J., Machado, A., Pereira, J. B., Sacuiu, S. F., Wahlund, L., Blennow, K., Zetterberg, H., Zettergren, A., et al. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.10.033 · Cited by 10 · see citing works
Quattrini, G., Pini, L., Galazzo, I. B., Jelescu, I., Jovicich, J., Manenti, R., Frisoni, G. B., Marizzoni, M., Pizzini, F. B., & Pievani, M. (2024) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12513 · Cited by 9 · see citing works
Wang, Y., Chen, H., Cheng, Y., Xie, Y., Cheng, Y., Zhao, S., Jiang, Y., Bai, T., Huo, Y., Wang, K., et al. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121550 · 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
Self-citationTato-Fernández, C., Ekblad, L. L., Pietilä, E. M., Saunavaara, V., Helin, S., Parkkola, R. K., Zetterberg, H., Blennow, K., Rinne, J. O., & Snellman, A. (2024) · Neurobiology of Disease · doi:10.1016/j.nbd.2024.106439 · Cited by 8 · see citing works
Rigon, A., Voss, M. W., Turkstra, L. S., Mutlu, B., & Duff, M. C. (2018) · Social Neuroscience · doi:10.1080/17470919.2018.1489302 · Cited by 8 · see citing works
- Authors
- 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., Barnhart, T. E., Gallagher, C. L., Carlsson, C. M., Rowley, H. A., Dowling, N. M., Asthana, S., Sager, M. A., Bendlin, B. B., & Johnson, S. C.
- Affiliations
- University of Wisconsin–Madison (US)
- University of Wisconsin System (US)
- Corresponding author
- Johnson, Sterling C.
- ORCID
- Venue
- NeuroImage: Clinical
- Publisher
- Elsevier BV
- Published
- 2014
- Volume
- 4
- Pages
- 604-614
- ISSN
- 2213-1582 (ISSN-L)
- PMC
- PMC4053642
- OpenAlex
- W2060171712
- Cited by
- 136
- References
- 100
- Citations by year
- 2026: 7 · 2025: 8 · 2024: 11 · 2023: 7 · 2022: 7 · 2021: 11 · 2020: 15 · 2019: 12 · 2018: 16 · 2017: 12 · 2016: 11 · 2015: 15 · 2014: 2
- FWCI
- 10.18
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- NeuroImage Clinical (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- NIH (AG021155, AG000213, AG027161, AG037639, AG033514)
- Veterans Administration Merit Review Grant (I01CX000165)
- Alzheimer's Association
- Clinical and Translational Science Award (UL1RR025011)
- University of Wisconsin, Madison
- NSF (0849122)
- Helen Bader Foundation
- Northwestern Mutual Foundation
- Extendicare Foundation
- Veterans Administration
- Waisman Center, University of Wisconsin-Madison
- 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
- preclinical Alzheimer's disease, brain amyloid burden, white matter microstructure, diffusion tensor imaging, fractional anisotropy, mean diffusivity, PiB PET, Pittsburgh compound B, cingulum, Wisconsin Registry for Alzheimer's Prevention, multimodal neuroimaging, compensatory mechanisms
- MeSH terms
- Aged, Alzheimer Disease, Brain, Female, Humans, Male, Middle Aged, Sensitivity and Specificity, Reproducibility of Results, Amyloid beta-Peptides, Positron-Emission Tomography, Diffusion Tensor Imaging, Molecular Imaging, Multimodal Imaging, White Matter
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