Neurofilament relates to white matter microstructure in older adults
Open accessAbstract
Cerebrospinal fluid (CSF) neurofilament light (NFL) is a protein biomarker of axonal injury. To study whether NFL is associated with diffusion tensor imaging (DTI) measurements of white matter (WM) microstructure, Vanderbilt Memory & Aging Project participants with normal cognition (n = 77), early mild cognitive impairment (n = 15), and MCI (n = 55) underwent lumbar puncture to obtain CSF and 3T brain MRI. Voxel-wise analyses cross-sectionally related NFL to DTI metrics, adjusting for demographic and vascular risk factors. Increased NFL correlated with multiple DTI metrics (p-values < 0.05). An NFL × diagnosis interaction (excluding early mild cognitive impairment) on WM microstructure (p-values < 0.05) was detected, with associations strongest among MCI. Multiple NFL × CSF biomarker interactions were detected. Associations between NFL and worse WM metrics were strongest among amyloid-β 42-negative, tau-positive, and suspected nonamyloid pathology participants. Findings suggest increased NFL, a biomarker of axonal injury, is correlated with compromised WM microstructure. Results highlight the role of elevated NFL in predicting WM damage in cognitively impaired older adults who are amyloid-negative, tau-positive, or meet suspected nonamyloid pathology criteria.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Existing evidence from human studies strongly supports the relationship between raised NFL levels and WM microstructure damage.
“Existing evidence from human studies strongly support the relationship between raised NFL levels and WM microstructure damage (Moore et al., 2018, Osborn et al., 2018).”
From Disrupted structural connectivity in ArcAβ mouse model of Aβ amyloidosis (2020) · cites this paper as Moore et al., 2018
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657 · see citing works
Albert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., Gamst, A., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.008 · Cited by 10,152 · see citing works
Sperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.003 · Cited by 7,155 · 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
SMITH, S., & NICHOLS, T. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.061 · Cited by 5,250 · see citing works
Albert, M., DeKosky, S. T., Dickson, D. W., Dubois, B., Feldman, H., Fox, N. C., Gamst, A. C., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2013) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/appi.focus.11.1.96 · Cited by 2,630 · 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
Mixed brain pathologies account for most dementia cases in community-dwelling older persons
Schneider, J. A., Arvanitakis, Z., Bang, W., & Bennett, D. A. (2007) · Neurology · doi:10.1212/01.wnl.0000271090.28148.24 · Cited by 1,992 · see citing works
Hansson, O., Zetterberg, H., Buchhave, P., Londos, E., Blennow, K., & Minthon, L. (2006) · The Lancet Neurology · doi:10.1016/s1474-4422(06)70355-6 · Cited by 1,700 · see citing works
Self-citationPET Imaging of Tau Deposition in the Aging Human Brain
Schöll, M., Lockhart, S. N., Schonhaut, D. R., O’Neil, J. P., Janabi, M., Ossenkoppele, R., Baker, S. L., Vogel, J. W., Faria, J., Schwimmer, H. D., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.01.028 · Cited by 1,214 · see citing works
Association of plasma neurofilament light with neurodegeneration in patients with Alzheimer disease
Mattsson, N., Andreasson, U., Zetterberg, H., Blennow, K., & Initiative, F. T. A. D. N. (2017) · JAMA Neurology · doi:10.1001/jamaneurol.2016.6117 · Cited by 1,070 · see citing works
Self-citationStroke risk profile: adjustment for antihypertensive medication. The Framingham Study.
D’Agostino, R. B., Wolf, P. A., Belanger, A. J., & Kannel, W. B. (1994) · Stroke · doi:10.1161/01.str.25.1.40 · Cited by 714 · see citing works
Neurofilament phosphoforms: Surrogate markers for axonal injury, degeneration and loss
Petzold, A. (2005) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2005.03.015 · Cited by 688 · see citing works
Jack, C. R., Knopman, D. S., Weigand, S. D., Wiste, H. J., Vemuri, P., Lowe, V., Kantarci, K., Gunter, J. L., Senjem, M. L., Ivnik, R. J., et al. (2012) · Annals of Neurology · doi:10.1002/ana.22628 · Cited by 602 · see citing works
Axon caliber related to neurofilaments and microtubules in sciatic nerve fibers of rats and mice
Friede, R. L., & Samorajski, T. (1970) · The Anatomical Record · doi:10.1002/ar.1091670402 · Cited by 538 · see citing works
Clinical core of the Alzheimer's disease neuroimaging initiative: Progress and plans
Aisen, P. S. S., Petersen, R. C., Donohue, M., Gamst, A. C., Raman, R., Thomas, R. G., Walter, S., Trojanowski, J. Q., Shaw, L. M. J., Beckett, L. A., et al. (2010) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2010.03.006 · Cited by 516 · see citing works
Zetterberg, H., Skillbäck, T., Mattsson, N., Trojanowski, J. Q., Portelius, E., Shaw, L. M., Weiner, M. W., Blennow, K., & Initiative, F. T. A. D. N. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2015.3037 · Cited by 487 · see citing works
Self-citationHippocampal sclerosis can be reliably detected by magnetic resonance imaging
Jackson, G. D., Berkovic, S. F., Tress, B. M., Kalnins, R. M., Fabinyi, G., & Bladin, P. F. (1990) · Neurology · doi:10.1212/wnl.40.12.1869 · Cited by 435 · see citing works
Palmqvist, S., Zetterberg, H., Blennow, K., Vestberg, S., Andreasson, U., Brooks, D. J., Owenius, R., Hägerström, D., Wollmer, P., Minthon, L., et al. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.1358 · Cited by 368 · see citing works
Self-citationNeurochemical Aftermath of Amateur Boxing
Zetterberg, H., Hietala, M. A., Jonsson, M. A. G., Andreasen, N., Styrud, E., Karlsson, I., Edman, Å., Popa, C., Rasulzada, A., Wahlund, L., et al. (2006) · Archives of Neurology · doi:10.1001/archneur.63.9.1277 · Cited by 355 · see citing works
Self-citationEffectiveness of regional DTI measures in distinguishing Alzheimer’s disease, MCI, and normal aging
Nir, T. M., Jahanshad, N., Villalon-Reina, J. E., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.07.006 · Cited by 348 · 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
CSF neurofilament light differs in neurodegenerative diseases and predicts severity and survival
Skillbäck, T., Farahmand, B., Bartlett, J. W., Rosén, C., Mattsson, N., Nägga, K., Kilander, L., Religa, D., Wimo, A., Winblad, B., et al. (2014) · Neurology · doi:10.1212/wnl.0000000000001015 · Cited by 263 · see citing works
Self-citationJosephs, K. A., Dickson, D. W., Tosakulwong, N., Weigand, S. D., Murray, M. E., Petrucelli, L., Liesinger, A. M., Senjem, M. L., Spychalla, A. J., Knopman, D. S., et al. (2017) · The Lancet Neurology · doi:10.1016/s1474-4422(17)30284-3 · Cited by 252 · 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
Neurofilament light in CSF and serum is a sensitive marker for axonal white matter injury in MS
Bergman, J., Dring, A. M., Zetterberg, H., Blennow, K., Norgren, N., Gilthorpe, J. D., Bergenheim, T. A., & Svenningsson, A. (2016) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000000271 · Cited by 166 · see citing works
Self-citationCSF neurofilament light chain reflects corticospinal tract degeneration in ALS
Menke, R., Gray, E., Lu, C., Kühle, J., Talbot, K., Malaspina, A., & Turner, M. R. (2015) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.212 · Cited by 141 · see citing works
Nimer, F. A., Thelin, E. P., Nyström, H., Dring, A. M., Svenningsson, A., Piehl, F., Nelson, D., & Bellander, B. (2015) · PLoS ONE · doi:10.1371/journal.pone.0132177 · Cited by 136 · 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-citationKim, Y. J., Park, S., Cho, H., Jang, Y. K., Lee, J. S., Jang, H., Kim, Y., Kim, K. W., Ryu, Y. H., Choi, J. Y., et al. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2018.0975 · Cited by 101 · see citing works
Bendlin, B. B., Carlsson, C. M., Johnson, S. C., Zetterberg, H., Blennow, K., Willette, A. A., Okonkwo, O. C., Sodhi, A., Ries, M. L., Birdsill, A. C., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0037720 · Cited by 91 · see citing works
Self-citationMarmarou, C. R., & Povlishock, J. (2006) · Experimental Neurology · doi:10.1016/j.expneurol.2005.10.003 · Cited by 80 · see citing works
The Vanderbilt Memory & Aging Project: Study Design and Baseline Cohort Overview
Jefferson, A. L., Gifford, K. A., Acosta, L. M. Y., Bell, S. P., Donahue, M. J., Davis, L. T., Gottlieb, J., Gupta, D. K., Hohman, T. J., Lane, E., et al. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-150914 · Cited by 67 · see citing works
Self-citationTwo‐level diagnostic classification using cerebrospinal fluid YKL‐40 in Alzheimer's disease
Baldacci, F., Toschi, N., Lista, S., Zetterberg, H., Blennow, K., Kilimann, I., Teipel, S., Cavedo, E., dos Santos, A. M., Epelbaum, S., et al. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.01.021 · Cited by 53 · see citing works
Self-citationNeurofilament subunit (NFL) head domain phosphorylation regulates axonal transport of neurofilaments
Yates, D. M., Manser, C., Vos, K. J. D., Shaw, C. E., McLoughlin, D. M., & Miller, C. C. J. (2009) · European Journal of Cell Biology · doi:10.1016/j.ejcb.2008.11.004 · Cited by 52 · 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-citationLongitudinal Alteration of Intrinsic Brain Activity in the Striatum in Mild Cognitive Impairment
Ren, P., Initiative, T. A. D. N., Lo, R. Y., Chapman, B. P., Mapstone, M. E., Porsteinsson, A. P., & Lin, F. V. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160368 · Cited by 39 · see citing works
Insulin-like growth factor binding protein-2 interactions with Alzheimer’s disease biomarkers
Initiative, A. D. N., Lane, E., Hohman, T. J., & Jefferson, A. L. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-016-9636-0 · Cited by 38 · see citing works
Self-citationWeekman, E. M., Sudduth, T. L., Caverly, C. N., Kopper, T. J., Phillips, O. W., Powell, D. K., & Wilcock, D. M. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1762-16.2016 · Cited by 37 · see citing works
Stroke risk interacts with Alzheimer's disease biomarkers on brain aging outcomes
Hohman, T. J., Samuels, L. R., Liu, D., Gifford, K. A., Mukherjee, S., Benson, E. M., Abel, T. W., Ruberg, F. L., & Jefferson, A. L. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.05.021 · Cited by 28 · see citing works
Self-citationChanges in mild cognitive impairment and its subtypes as seen on diffusion tensor imaging
Thillainadesan, S., Wen, W. X., Zhuang, L., Crawford, J., Kochan, N. A., Reppermund, S., Slavin, M. J., Trollor, J. N., Brodaty, H., & Sachdev, P. S. (2012) · International Psychogeriatrics · doi:10.1017/s1041610212000270 · Cited by 28 · see citing works
Sun, J., Zhou, H., Bai, F., Ren, Q., & Zhang, Z. (2016) · Oncotarget · doi:10.18632/oncotarget.8981 · Cited by 20 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Neurofilaments as biomarkers in neurological disorders — towards clinical application
Khalil, M., Teunissen, C. E., Lehmann, S., Otto, M., Piehl, F., Ziemssen, T., Bittner, S., Sormani, M. P., Gattringer, T., Abu‐Rumeileh, S., et al. (2024) · Nature Reviews Neurology · doi:10.1038/s41582-024-00955-x · Cited by 484 · see citing works
Self-citationThe diagnostic and prognostic capabilities of plasma biomarkers in Alzheimer's disease
Simrén, J., Leuzy, A., Karikari, T. K., Hye, A., Benedet, A. L., Lantero‐Rodriguez, J., Mattsson, N., Schöll, M., Mecocci, P., Vellas, B. J., et al. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12283 · Cited by 334 · see citing works
Self-citationNeurofilament Proteins as Biomarkers to Monitor Neurological Diseases and the Efficacy of Therapies
Yuan, A., & Nixon, R. A. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.689938 · Cited by 290 · see citing works
Postoperative delirium is associated with increased plasma neurofilament light
Casey, C., Lindroth, H. L., Mohanty, R., Farahbakhsh, Z. Z., Ballweg, T., Twadell, S., Miller, S., Krause, B. M., Prabhakaran, V., Blennow, K., et al. (2019) · Brain · doi:10.1093/brain/awz354 · Cited by 178 · see citing works
Self-citationRemote Blood Biomarkers of Longitudinal Cognitive Outcomes in a Population Study
Rajan, K. B., Aggarwal, N. T., McAninch, E. A., Weuve, J., Barnes, L. L., Wilson, R. S., DeCarli, C. S., & Evans, D. A. (2020) · Annals of Neurology · doi:10.1002/ana.25874 · Cited by 147 · see citing works
The multifaceted role of neurofilament light chain protein in non-primary neurological diseases
Abu‐Rumeileh, S., Abdelhak, A., Foschi, M., D’Anna, L., Russo, M., Steinacker, P., Kühle, J., Tumani, H., Blennow, K., & Otto, M. (2022) · Brain · doi:10.1093/brain/awac328 · Cited by 119 · see citing works
Self-citationZavaliangos-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
“…more coherent intact axons, while lower anisotropy and higher diffusivity may reflect factors such as axonal injury and demyelination, among other factors (Beaulieu, 2002; Song et al., 2003, 2005; Harsan et al., 2006; Le Bihan and Johansen-Berg, 2012; Kantarci et al., 2017; Moore et al., 2018).”
CSF or Serum Neurofilament Light Added to α‐Synuclein Panel Discriminates Parkinson's From Controls
Oosterveld, L. P., Verberk, I. M. W., Majbour, N. K., El‐Agnaf, O. M. A., Weinstein, H. C., Berendse, H. W., Teunissen, C. E., & van de Berg, W. D. J. (2019) · Movement Disorders · doi:10.1002/mds.27897 · Cited by 93 · see citing works
Bavato, F., Barro, C., Schnider, L. K., Simrén, J., Zetterberg, H., Seifritz, E., & Quednow, B. B. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02524-6 · Cited by 92 · see citing works
Self-citationNeurofilaments in disease: what do we know?
Gordon, B. A. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.02.001 · Cited by 82 · see citing works
Andersson, E., Janelidze, S., Lampinen, B., Nilsson, M., Leuzy, A., Stomrud, E., Blennow, K., Zetterberg, H., & Hansson, O. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.07.018 · Cited by 79 · see citing works
Self-citationCharacterizing plasma NfL in a community‐dwelling multi‐ethnic cohort: Results from the HABLE study
O’Bryant, S. E., Petersen, M. E., Hall, J. R., Johnson, L. A., Yaffe, K. S., Braskie, M. N., Toga, A. W., Rissman, R. A., & for the HABLE study team (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12404 · Cited by 79 · see citing works
Cerebrospinal fluid and plasma neurofilament light relate to abnormal cognition
Osborn, K. E., Khan, O. A., Kresge, H. A., Bown, C. W., Liu, D., Moore, E. E., Gifford, K. A., Acosta, L. M. Y., Bell, S. P., Hohman, T. J., et al. (2019) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2019.08.008 · Cited by 65 · see citing works
Self-citationSchultz, S. A., Strain, J. F., Adedokun, A., Wang, Q., Preische, O., Kühle, J., Flores, S. E., Keefe, S., Dincer, A., Ances, B. M., et al. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104960 · Cited by 57 · see citing works
White Matter Disease and Outcomes of Mechanical Thrombectomy for Acute Ischemic Stroke
Mistry, E. A., Mistry, A. M., Mehta, T., Arora, N., Starosciak, A. K., Rosa, F. D. L. R. L., Siegler, J. E., Kasner, S. E., Chitale, R. V., Fusco, M. R., et al. (2020) · American Journal of Neuroradiology · doi:10.3174/ajnr.a6478 · Cited by 50 · see citing works
Rübsamen, N., Maceski, A. M., Leppert, D., Benkert, P., Kühle, J., Wiendl, H., Peters, A., Karch, A., & Berger, K. (2021) · BMC Medicine · doi:10.1186/s12916-021-01915-8 · Cited by 50 · see citing works
Asken, B., Vandevrede, L., Rojas, J. C., Fonseca, C., Staffaroni, A., Elahi, F., Lindbergh, C., Apple, A., You, M., Weiner-Light, S., et al. (2021) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617721000813 · Cited by 38 · see citing works
High serum neurofilament associates with diffuse white matter damage in MS
Saraste, M., Bezukladova, S., Matilainen, M., Tuisku, J., Rissanen, E., Sucksdorff, M., Laaksonen, S., Vuorimaa, A., Kühle, J., Leppert, D., et al. (2020) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000000926 · Cited by 39 · see citing works
Jing, X., Wang, L., Song, M. L., Geng, H., Li, W., Huo, Y., Huang, A., Wang, X., & An, C. (2024) · Scientific Reports · doi:10.1038/s41598-024-59530-5 · Cited by 35 · see citing works
Calderón‐Garcidueñas, L., Mukherjee, P. S., Waniek, K., Holzer, M., Chao, C., Thompson, C., Ramos, R. R., Calderón‐Garcidueñas, A. L., Franco-Lira, M., Reynoso-Robles, R., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180853 · Cited by 32 · see citing works
Neurofilaments Light Chain in Neurodegenerative Dementias: A Review of Imaging Correlates
Gallingani, C., Carbone, C., Tondelli, M., & Zamboni, G. (2024) · Brain Sciences · doi:10.3390/brainsci14030272 · Cited by 29 · see citing works
Chen, J., Sun, D., Shi, Y., Jin, W., Wang, Y., Xi, Q., & Ren, C. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-020-00266-x · Cited by 29 · see citing works
Comparison of CSF neurofilament light chain, neurogranin, and tau to MRI markers
Mielke, M. M., Przybelski, S. A., Lesnick, T. G., Kern, S., Zetterberg, H., Blennow, K., Knopman, D. S., Graff‐Radford, J., Petersen, R. C., Jack, C. R., et al. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12239 · Cited by 30 · see citing works
Self-citationNabizadeh, F., Balabandian, M., Rostami, M. R., Kankam, S. B., Ranjbaran, F., Pourhamzeh, M., & Initiative, A. D. N. (2022) · Aging Clinical and Experimental Research · doi:10.1007/s40520-022-02095-y · Cited by 30 · see citing works
Gaudreault, P., King, S. G., Malaker, P., Nelly Alia-klein, A., & Goldstein, R. Z. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01833-y · Cited by 27 · see citing works
Walsh, P., Sudre, C. H., Fiford, C. M., Ryan, N. S., Lashley, T., Frost, C. D., & Barnes, J. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.09.008 · Cited by 28 · see citing works
Ottino‐González, J., Uhlmann, A., Hahn, S., Cao, Z., Cupertino, R. B., Schwab, N., Allgaier, N. A., Nelly Alia-klein, A., Ekhtiari, H., Fouché, J., et al. (2021) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2021.109185 · Cited by 27 · see citing works
Rajan, K. B., McAninch, E. A., Aggarwal, N. T., Barnes, L. L., Wilson, R. S., Weuve, J., DeCarli, C. S., & Evans, D. A. (2022) · Neurology · doi:10.1212/wnl.0000000000201289 · Cited by 25 · see citing works
Plasma lipids are associated with white matter microstructural changes and axonal degeneration
Iriondo, A., García‐Sebastián, M., Arrospide, A., de Arriba, M., Aurtenetxe, S., Barandiarán, M., Clerigué, M., Ecay‐Torres, M., Estanga, A., Gabilondo, A., et al. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-020-00311-9 · Cited by 20 · see citing works
Hall, J. R., Johnson, L. A., Peterson, M. J., Julovich, D. A., Como, T., & O’Bryant, S. E. (2021) · Current Alzheimer Research · doi:10.2174/1567205018666210219105949 · Cited by 19 · see citing works
Teipel, S. J., the DELCODE study group, Kuper-Smith, J. O., Bartels, C., Brosseron, F., Buchmann, M., Büerger, K., Catak, C., Janowitz, D., Dechent, P., et al. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190446 · Cited by 18 · see citing works
Giuffrè, G. M., Quaranta, D., Costantini, E. M., Citro, S., Martellacci, N., Ninno, G. D., Vita, M. G., Guglielmi, V., Rossini, P. M., Calabresi, P., et al. (2023) · Neurobiology of Disease · doi:10.1016/j.nbd.2023.106267 · Cited by 18 · see citing works
Elevated serum neurofilament light chain in children autism spectrum disorder: A case control study
He, W., Zhang, X.-J., Zhang, Y.-Q., & Zhang, W. (2020) · NeuroToxicology · doi:10.1016/j.neuro.2020.06.012 · Cited by 14 · see citing works
Elmers, J., Colzato, L. S., Akgün, K., Ziemssen, T., & Beste, C. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.102037 · Cited by 14 · see citing works
Abnormal Dynamic Functional Networks in Subjective Cognitive Decline and Alzheimer's Disease
Wang, J., Wang, K., Liu, T., Wang, L., Suo, D., Xie, Y., Funahashi, S., Wu, J., & Pei, G. (2022) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2022.885126 · Cited by 13 · see citing works
Moore, E. E., Liu, D., Bown, C. W., Kresge, H. A., Gupta, D. K., Pechman, K. R., Mendes, L. A., Davis, L. T., Gifford, K. A., Anderson, A. W., et al. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-020-00398-0 · Cited by 12 · see citing works
Self-citationWelton, T., Tan, Y. J., Saffari, S. E., Ng, S. Y., Chia, N. S. Y., Yong, A. C. W., Choi, X., Heng, D. L., Shih, Y., Hartono, S., et al. (2022) · Journal of Parkinson s Disease · doi:10.3233/jpd-223414 · Cited by 10 · see citing works
Path integration impairments reveal early cognitive changes in subjective cognitive decline
Segen, V., Kabir, M. R., Streck, A., Slavík, J., Glanz, W., Butryn, M., Newman, E. L., Tiganj, Z., & Wolbers, T. (2025) · Science Advances · doi:10.1126/sciadv.adw6404 · Cited by 10 · see citing works
White matter hyperintensity mediating gait disorders in iNPH patients via neurofilament light chain
Lu, Y., Yang, F., Deng, Y., Yan, A., Wei, W., & Fang, X. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1117675 · Cited by 10 · see citing works
Moore, E. E., Liu, D., Pechman, K. R., Acosta, L. M. Y., Bell, S. P., Davis, L. T., Blennow, K., Zetterberg, H., Landman, B. A., Schrag, M., et al. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00139 · Cited by 11 · see citing works
Self-citationClinical Utility of the Pathogenesis-Related Proteins in Alzheimer’s Disease
Zhou, B., & Fukushima, M. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21228661 · Cited by 9 · see citing works
Plasma NfL is associated with mild cognitive decline in patients with diabetes
Marutani, N., Akamine, S., Kanayama, D., Gotoh, S., Yanagida, K., Maruyama, R., Mori, K., Miyamoto, T., Adachi, H., Sakagami, Y., et al. (2022) · Psychogeriatrics · doi:10.1111/psyg.12819 · Cited by 9 · see citing works
Osborn, K. E., Alverio, J., Dumitrescu, L. C., Pechman, K. R., Initiative, A. D. N., Gifford, K. A., Hohman, T. J., Blennow, K., Zetterberg, H., & Jefferson, A. L. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190077 · Cited by 9 · see citing works
Self-citationSathe, A., Yang, Y., Schilling, K. G., Shashikumar, N., Moore, E. E., Dumitrescu, L. C., Pechman, K. R., Landman, B. A., Gifford, K. A., Hohman, T. J., et al. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00293 · Cited by 9 · see citing works
Self-citationNeurological Biomarker Profiles in Royal Canadian Air Force (RCAF) Pilots and Aircrew
Rhind, S. G., Shiu, M. Y., Vartanian, O. A., Allen, S., Palmer, M., Ramirez, J., Gao, F., Scott, C. J. M., Homes, M. F., Gray, G. W., et al. (2024) · Brain Sciences · doi:10.3390/brainsci14121296 · Cited by 6 · see citing works
Lehodey, A., Kaliman, P., Palix, C., de Florès, R., Touron, E., Turpin, A., Fauvel, S., Mézenge, F., Landeau, B., Chocat, A., et al. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01635-0 · Cited by 6 · see citing works
Rosas, H. D., Mercaldo, N. D., Hasimoglu, Y. G., Petersen, M. E., Lewis, L. R., Lai, F., Powell, D. K., Dhungana, A., Demir, A., Keater, D., et al. (2024) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.70023 · Cited by 5 · see citing works
Frontal White Matter Changes and Craving Recovery in Inpatients With Heroin Use Disorder
Gaudreault, P., King, S. G., Huang, Y., Ceceli, A. O., Kronberg, G., Nelly Alia-klein, A., & Goldstein, R. Z. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.51678 · Cited by 6 · see citing works
Moore, E. E., Khan, O. A., Shashikumar, N., Pechman, K. R., Liu, D., Bell, S. P., Nair, S., Terry, J. G., Gifford, K. A., Anderson, A. W., et al. (2021) · Stroke · doi:10.1161/strokeaha.121.034349 · Cited by 3 · see citing works
Self-citationGaudreault, P., King, S. G., Malaker, P., Nelly Alia-klein, A., & Goldstein, R. Z. (2022) · medRxiv · doi:10.1101/2022.03.22.22272765 · Cited by 3 · see citing works
FRONTAL WHITE MATTER CHANGES INDICATE RECOVERY WITH INPATIENT TREATMENT IN HEROIN ADDICTIONPreprint
Gaudreault, P., King, S. G., Huang, Y., Ceceli, A. O., Kronberg, G., Nelly Alia-klein, A., & Goldstein, R. Z. (2024) · medRxiv · doi:10.1101/2024.06.10.24308719 · Cited by 3 · see citing works
Disrupted structural connectivity in ArcAβ mouse model of Aβ amyloidosis
Al-Amin, M. M., Grandjean, J., Klohs, J., & Kim, J. (2020) · doi:10.1101/2020.04.27.064634 · Cited by 2 · see citing works
Moore, E., Khan, O., Shashikumar, N., Pechman, K., Liu, D., Bell, S., Nair, S., Terry, J., Gifford, K., Anderson, A., et al. (2022) · UCL Discovery (University College London) · Cited by 2 · see citing works
Self-citationCellular Aging Signatures in the Plasma Proteome Record Human Health and DiseasePreprint
Ding, D. Y., Bot, V. A., Chen, K. S.-M., Groves, J. W., Pálovics, R., Masuda, D., Farinas, A., Oh, H. S., Wagner, V., Lu, N., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.10.704909 · Cited by 3 · see citing works
The fluid biomarkers of Alzheimer’s disease
Peng, Q., & Zhang, Z. (2021) · Brain Science Advances · doi:10.26599/bsa.2021.9050001 · Cited by 1 · see citing works
Cui, R., Hu, H., Han, S., Liang, S., Liu, M., Gao, P., Chen, Y., Wang, Y., Guo, F., Xue, R., et al. (2025) · Journal of Neurochemistry · doi:10.1111/jnc.70076 · Cited by 1 · see citing works
Moore, E. E., Zhang, P., Khan, O. A., Liu, D., Gupta, D. K., Pechman, K. R., Gifford, K. A., Landman, B. A., Hohman, T. J., & Jefferson, A. L. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71598 · Cited by 1 · see citing works
Self-citationLevel of CSF GAP-43 and white matter microstructural changes in Alzheimer's disease
Assefi, M., Sharafshah, A., Ashtari, A., Afshar, S., Moghtader, K. P., & Waheed, Y. (2024) · Neurology Letters · doi:10.61186/nl.3.2.1 · Cited by 1 · see citing works
Lee, A. J., Howard, E., Saltiel, N. A., Hayes, J. P., & Hayes, S. M. (2024) · Brain Communications · doi:10.1093/braincomms/fcaf068 · Cited by 1 · see citing works
Jing, X., Wang, L., Song, M. L., Geng, H., Li, W., Huo, Y., Huang, A., Wang, X., & An, C. (2024) · Research Square · doi:10.21203/rs.3.rs-3828911/v1
Path integration impairments reveal early cognitive changes in Subjective Cognitive DeclinePreprint
Segen, V., Kabir, M. R., Streck, A., Slavik, J., Glanz, W., Butryn, M., Newman, E. L., Tiganj, Z., & Wolbers, T. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.17.638583
Rübsamen, N., Maceski, A., Leppert, D., Benkert, P., Kühle, J., Wiendl, H., Peters, A., Karch, A., & Berger, K. (2021) · Figshare · doi:10.6084/m9.figshare.14033662
Rübsamen, N., Maceski, A., Leppert, D., Benkert, P., Kühle, J., Wiendl, H., Peters, A., Karch, A., & Berger, K. (2021) · Figshare · doi:10.6084/m9.figshare.14033659
Xu, J., Chen, H., Wang, Y., Hu, Z., Ke, Z., Huang, L., Mo, Y., Yang, D., Mao, C., Chen, Y., et al. (2026) · Brain Communications · doi:10.1093/braincomms/fcag080 · Cited by 1 · see citing works
- Authors
- Moore, E. E., Hohman, T. J., Badami, F. S., Pechman, K. R., Osborn, K. E., Acosta, L. M. Y., Bell, S. P., Babicz, M. A., Gifford, K. A., Anderson, A. W., Goldstein, L. E., Blennow, K., Zetterberg, H., & Jefferson, A. L.
- Affiliations
- Vanderbilt University Medical Center (US)
- University of Houston (US)
- Vanderbilt University (US)
- Boston University (US)
- Sahlgrenska University Hospital (SE)
- Corresponding author
- Jefferson, Angela L.
- ORCID
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 70
- Pages
- 233-241
- ISSN
- 0197-4580 (ISSN-L)
- PMC
- PMC6119102
- OpenAlex
- W2811179428
- Cited by
- 65
- References
- 42
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 13 · 2023: 3 · 2022: 9 · 2021: 13 · 2020: 14 · 2019: 6 · 2018: 1
- FWCI
- 6.69
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neurobiology of Aging (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Vanderbilt University
- Sahlgrenska Universitetssjukhuset
- National Institutes of Health (1s10od023680-01, UL1TR000445, UL1TR002243)
- National Institute on Aging (R01AG056534, K24AG046373, K23AG030962, K23AG045966, K23AG048347, K01AG049164, F32AG058395, R01AG034962)
- National Institute of General Medical Sciences (T32GM007347)
- National Institute of Neurological Disorders and Stroke (R01NS100980)
- National Center for Advancing Translational Sciences
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (U54HD083211)
- 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
- neurofilament light chain, white matter microstructure, axonal injury, mild cognitive impairment, diffusion tensor imaging, cerebrospinal fluid biomarkers, amyloid-beta 42, tau protein, older adults, cognitive aging
- MeSH terms
- Aged, Aging, Brain, Female, Humans, Magnetic Resonance Imaging, Male, Peptide Fragments, Cohort Studies, Biomarkers, Amyloid beta-Peptides, Neurofilament Proteins, Diffusion Tensor Imaging, Cognitive Dysfunction, White Matter
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review