Sub-regional hippocampal injury is associated with fornix degeneration in Alzheimer’s disease.
Open accessAbstract
We examined in vivo evidence of axonal degeneration in association with neuronal pathology in Alzheimer's disease (AD) through analysis of fornix microstructural integrity and measures of hippocampal subfield atrophy. Based on known anatomical topography, we hypothesized that the local thickness of subiculum and CA1 hippocampus fields would be associated with fornix integrity, reflecting an association between AD-related injury to hippocampal neurons and degeneration of associated axon fibers. To test this hypothesis, multi-modal imaging, combining measures of local hippocampal radii with diffusion tensor imaging (DTI), was applied to 44 individuals clinically diagnosed with AD, 44 individuals clinically diagnosed with mild cognitive impairment (MCI), and 96 cognitively normal individuals. Fornix microstructural degradation, as measured by reduced DTI-based fractional anisotropy (FA), was prominent in both MCI and AD, and was associated with reduced hippocampal volumes. Further, reduced fornix FA was associated with reduced anterior CA1 and antero-medial subiculum thickness. Finally, while both lesser fornix FA and lesser hippocampal volume were associated with lesser episodic memory, only the hippocampal measures were significant predictors of episodic memory in models including both hippocampal and fornix predictors. The region-specific association between fornix integrity and hippocampal neuronal death may provide in vivo evidence for degenerative white matter injury in AD: axonal pathology that is closely linked to neuronal injury.
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?
Fornix microstructural degradation, as measured by reduced FA, is prominent in both MCI and AD.
“Fornix microstructural degradation, as measured by reduced FA, was prominent in both MCI and AD”
From Age-dependent microstructure alterations in 5xFAD mice by high-resolution diffusion tensor imaging (2022) · cites this paper as Lee et al., 2012
Fornix microstructural degradation may provide evidence of degenerative white matter injury in AD.
“and may provide evidence of degenerative white matter injury in AD (Lee et al., 2012).”
From Age-dependent microstructure alterations in 5xFAD mice by high-resolution diffusion tensor imaging (2022) · cites this paper as Lee et al., 2012
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
Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444 · 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
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D. L., & Stadlan, E. (2011) · Neurology · doi:10.1212/01.wnl.0000400650.92875.cf · Cited by 9,882 · 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
Winblad, B., Palmer, K., Kivipelto, M., Jelic, V., Fratiglioni, L., Wahlund, L. ‐., Nordberg, A., Bäckman, L., Albert, M., Almkvist, O., et al. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01380.x · Cited by 4,946 · see citing works
Self-citationMaximum Likelihood from Incomplete Data via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1976) · Cited by 4,517 · 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
Episodic memory, amnesia, and the hippocampal–anterior thalamic axis
Aggleton, J. P., & Brown, M. W. (1999) · Behavioral and Brain Sciences · doi:10.1017/s0140525x99002034 · Cited by 1,879 · see citing works
Profound Loss of Layer II Entorhinal Cortex Neurons Occurs in Very Mild Alzheimer’s Disease
Gómez-Isla, T., Price, J. L., McKeel Jr., D. W., Morris, J. C., Growdon, J. H., & Hyman, B. T. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-14-04491.1996 · Cited by 1,796 · cited 1× · see citing works
“Third, we focused only on the hippocampal output system via the fornix, but the entorhinal cortex is where neurofibrillary tangles accumulate first in the AD degenerative process (Gomez-Isla et al., 1996) and is the main input source of the hippocampus.”
BackgroundDiffusion 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
Neurological Anatomy. In Relation to Clinical Medicine.
(1970) · Annals of Internal Medicine · doi:10.7326/0003-4819-72-3-449_1 · Cited by 1,264 · see citing works
Axonopathy and Transport Deficits Early in the Pathogenesis of Alzheimer’s Disease
Stokin, G. B., Lillo, C., Falzone, T. L., Brusch, R. G., Rockenstein, E., Mount, S. L., Raman, R., Davies, P., Masliah, E., Williams, D. S., et al. (2005) · Science · doi:10.1126/science.1105681 · Cited by 1,214 · see citing works
Dynamics of Gray Matter Loss in Alzheimer's Disease
Thompson, P. M., Hayashi, K. M., de Zubicaray, G., Janke, A. L., Rose, S. E., Semple, J., Herman, D., Hong, M. S., Dittmer, S. S., Doddrell, D. M., et al. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-03-00994.2003 · Cited by 1,132 · see citing works
Neurological anatomy in relation to clinical medicine
Matthews, W. B. (1982) · Journal of the Neurological Sciences · doi:10.1016/0022-510x(82)90049-1 · Cited by 1,033 · 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
Morris, J. C., Weintraub, S., Chui, H. C., Cummings, J., DeCarli, C., Ferris, S., Foster, N. L., Galasko, D., Graff-Radford, N., Peskind, E. R., et al. (2006) · Alzheimer Disease & Associated Disorders · doi:10.1097/01.wad.0000213865.09806.92 · Cited by 950 · see citing works
Self-citationPET imaging of amyloid deposition in patients with mild cognitive impairment
Forsberg, A., Engler, H., Almkvist, O., Blomquist, G., Hagman, G., Wall, A. E., Ringheim, A., Långström, B., & Nordberg, A. K. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.03.029 · Cited by 725 · see citing works
Hippocampal Efferents Reach Widespread Areas of Cerebral Cortex and Amygdala in the Rhesus Monkey
Rosene, D. L., & Hoesen, G. W. V. (1977) · Science · doi:10.1126/science.410102 · Cited by 678 · see citing works
Cenquizca, L. A., & Swanson, L. W. (2007) · Brain Research Reviews · doi:10.1016/j.brainresrev.2007.05.002 · Cited by 640 · see citing works
Ball, M. J. (1977) · Acta Neuropathologica · doi:10.1007/bf00692056 · Cited by 639 · see citing works
Han, X., M. Holtzman, D., W. McKeel, D., Kelley, J., & Morris, J. C. (2002) · Journal of Neurochemistry · doi:10.1046/j.1471-4159.2002.00997.x · Cited by 626 · see citing works
Mapping hippocampal and ventricular change in Alzheimer disease
Thompson, P. M., Hayashi, K. M., de Zubicaray, G. I., Janke, A. L., Rose, S., Semple, J. M., Hong, M., Herman, D. H., Gravano, D. M., Doddrell, D. M., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.03.040 · Cited by 608 · see citing works
Duvernoy, H. M., Cattin, F., & Risold, P. (2013) · Springer eBooks · doi:10.1007/978-3-642-33603-4 · Cited by 567 · 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
Dementia of the Alzheimer Type
Terry, R., & Davies, P. (1980) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.03.030180.000453 · Cited by 529 · see citing works
White Matter Structural Integrity in Healthy Aging Adults and Patients With Alzheimer Disease
Bartzokis, G., Cummings, J. L., Sultzer, D. L., Henderson, V. W., Nuechterlein, K. H., & Mintz, J. (2003) · Archives of Neurology · doi:10.1001/archneur.60.3.393 · Cited by 415 · see citing works
Bartzokis, G., Sultzer, D., Lu, P. H., Nuechterlein, K. H., Mintz, J., & Cummings, J. L. (2004) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2003.09.005 · Cited by 363 · 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
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
Early DAT is distinguished from aging by high-dimensional mapping of the hippocampus
Csernansky, J., Wang, L. E., Joshi, S., Miller, J. D., Gado, M., Kido, D., McKeel, D., Morris, J., & Miller, M. I. (2000) · Neurology · doi:10.1212/wnl.55.11.1636 · Cited by 274 · see citing works
Mapping local hippocampal changes in Alzheimer's disease and normal ageing with MRI at 3 Tesla
Frisoni, G. B., Ganzola, R., Canu, E., Rub, U., Pizzini, F. B., Alessandrini, F., Zoccatelli, G., Beltramello, A., Caltagirone, C., & Thompson, P. M. (2008) · Brain · doi:10.1093/brain/awn280 · Cited by 256 · see citing works
The role of cortical connectivity in Alzheimer's disease pathogenesis: A review and model system
LACOSTE, M. C. D., & White, C. L. (1993) · Neurobiology of Aging · doi:10.1016/0197-4580(93)90015-4 · Cited by 252 · see citing works
Mann, D. M. A., Yates, P. O., & Marcyniuk, B. (1985) · Journal of the Neurological Sciences · doi:10.1016/0022-510x(85)90129-7 · Cited by 240 · see citing works
Quantitation of cerebral atrophy in preclinical and end-stage Alzheimer’s disease
de la Monte, S. M. (1989) · Annals of Neurology · doi:10.1002/ana.410250506 · Cited by 229 · 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
Regional Spatial Normalization: Toward an Optimal Target
Kochunov, P. V., Lancaster, J. L., Thompson, P. M., Woods, R. P., Mazziotta, J. C., Hardies, J., & Fox, P. T. (2001) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-200109000-00023 · Cited by 192 · see citing works
Abnormalities of hippocampal surface structure in very mild dementia of the Alzheimer type
Wang, L., Miller, J. P., Gado, M. H., McKeel, D. W., Rothermich, M. A., Miller, M. I., Morris, J. C., & Csernansky, J. G. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.09.017 · Cited by 166 · see citing works
Vulnerability of cortical neurons to Alzheimer's and Parkinson's diseases
Braak, H., Rüb, U., Schultz, C., & Tredici, K. D. (2006) · Journal of Alzheimer s Disease · doi:10.3233/jad-2006-9s305 · Cited by 163 · see citing works
Assessment of white matter tract damage in mild cognitive impairment and Alzheimer's disease
Pievani, M., Agosta, F., Pagani, E., Canu, E., Sala, S., Absinta, M., Geroldi, C., Ganzola, R., Frisoni, G. B., & Filippi, M. (2010) · Human Brain Mapping · doi:10.1002/hbm.20978 · Cited by 146 · see citing works
Chételat, G., Fouquet, M., Kalpouzos, G., Denghien, I., De la Sayette, V., Viader, F., Mézenge, F., Landeau, B., Baron, J. C., Eustache, F., et al. (2008) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2007.11.037 · Cited by 143 · see citing works
Apostolova, L. G., & Thompson, P. M. (2008) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2007.10.026 · Cited by 142 · see citing works
Regional pattern of white matter microstructural changes in normal aging, MCI, and AD
Lee, D. Y., Fletcher, E., Martinez, O., Ortega, M., Zozulya, N., Kim, J., Tran, J., Buonocore, M., Carmichael, O., & DeCarli, C. (2009) · Neurology · doi:10.1212/wnl.0b013e3181c33afb · Cited by 122 · see citing works
Self-citationMRI predictors of cognitive change in a diverse and carefully characterized elderly population
Carmichael, O., Mungas, D., Beckett, L., Harvey, D., Tomaszewski Farias, S., Reed, B., Olichney, J., Miller, J., & DeCarli, C. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.01.021 · Cited by 117 · see citing works
Self-citationHippocampal shape analysis in Alzheimer’s disease: A population-based study
Scher, I., Xu, Y., Korf, E. S. C., White, L. R., Scheltens, P., Toga, A. W., Thompson, P. M., Hartley, S. W., Witter, M. P., Valentino, D. J., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.12.036 · Cited by 116 · see citing works
Davies, D. C., Horwood, N., Isaacs, S. L., & Mann, D. M. A. (1992) · Acta Neuropathologica · doi:10.1007/bf00310028 · Cited by 88 · see citing works
Brain Behavior Relationships Among African Americans, Whites, and Hispanics
DeCarli, C. S., Reed, B., Jagust, W. J., Martinez, O., Ortega, M., & Mungas, D. (2008) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e318185e7fe · Cited by 84 · see citing works
Self-citationProjections from the hippocampal region to the mammillary bodies in macaque monkeys
Aggleton, J. P., Vann, S. D., & Saunders, R. C. (2005) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2005.04450.x · Cited by 83 · 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
Doebler, J. A., Markesbery, W. R., Anthony, A., et al. (1987) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/00005072-198701000-00003 · Cited by 71 · see citing works
Origin of the fornix system in the squirrel monkey
Krayniak, P. F., Siegel, A., Meibach, R. C., et al. (1979) · Brain Research · doi:10.1016/0006-8993(79)91069-2 · Cited by 58 · see citing works
Is the HM story only a ‘remote memory’?
Deweer, B., Pillon, B., Pochon, J.-B., & Dubois, B. (2001) · Behavioural Brain Research · doi:10.1016/s0166-4328(01)00366-7 · Cited by 55 · see citing works
Carmichael, O. T., Xie, J., Fletcher, E. M., Singh, B., & DeCarli, C. S. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.08.016 · Cited by 53 · see citing works
Self-citationMureşan, V., & Muresan, Z. L. (2009) · Future Neurology · doi:10.2217/fnl.09.54 · Cited by 41 · see citing works
Early diagnostic indices for the prevention of Alzheimer's disease
Soininen, H. S., & Scheltens, P. (1998) · Annals of Medicine · doi:10.3109/07853899809002604 · Cited by 29 · see citing works
Spatially localized hippocampal shape analysis in late‐life cognitive decline
Xie, J., Alcantara, D. A., Amenta, N., et al. (2009) · Hippocampus · doi:10.1002/hipo.20618 · Cited by 17 · see citing works
Cortico-hippocampal communication by way of parallel parahippocampal-subicular pathways.
Lavenex (2000) · Pure Amsterdam UMC · doi:10.1002/1098-1063(2000)10:4 · Cited by 1 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Spatial navigation deficits — overlooked cognitive marker for preclinical Alzheimer disease?
Coughlan, G., Laczó, J., Hort, J., Minihane, A.-M., & Hornberger, M. (2018) · Nature Reviews Neurology · doi:10.1038/s41582-018-0031-x · Cited by 500 · see citing works
Is Alzheimer’s a disease of the white matter?
Sachdev, P. S., Zhuang, L., Braidy, N., & Wen, W. (2013) · Current Opinion in Psychiatry · doi:10.1097/yco.0b013e32835ed6e8 · Cited by 137 · see citing works
Cordella, A., Krashia, P., Nobili, A., Pignataro, A., La Barbera, L., Viscomi, M. T., Valzania, A., Keller, F., Ammassari-Teule, M., Mercuri, N. B., et al. (2018) · Neurobiology of Disease · doi:10.1016/j.nbd.2018.05.006 · Cited by 82 · see citing works
Olajide, O. J., Yawson, E. O., Gbadamosi, I. T., Arogundade, T. T., Lambe, E., Obasi, K., Lawal, I. T., Ibrahim, A., & Ogunrinola, K. Y. (2017) · Environmental Toxicology and Pharmacology · doi:10.1016/j.etap.2017.02.010 · Cited by 79 · see citing works
Vuoksimaa, E., Panizzon, M. S., Hagler Jr, D. J., Hatton, S. N., Fennema‐Notestine, C., Rinker, D., Eyler, L. T., Franz, C. E., Lyons, M. J., Neale, M. C., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23502 · Cited by 58 · see citing works
Herdman, K. A., Calarco, N., Moscovitch, M., Hirshhorn, M., & Rosenbaum, R. S. (2015) · Cortex · doi:10.1016/j.cortex.2015.06.008 · Cited by 46 · see citing works
Age-dependent microstructure alterations in 5xFAD mice by high-resolution diffusion tensor imaging
Maharjan, S., Tsai, A. P., Lin, P. B., Ingraham, C., Jewett, M. R., Landreth, G. E., Oblak, A. L., & Wang, N. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.964654 · Cited by 11 · see citing works
“Fornix microstructural degradation, as measured by reduced FA, was prominent in both MCI and AD, and may provide evidence of degenerative white matter injury in AD (Lee et al., 2012).”
Background
- Authors
- Lee, D. Y., Fletcher, E., Carmichael, O. T., Singh, B., Mungas, D., Reed, B., Martinez, O., Buonocore, M. H., Persianinova, M., & DeCarli, C.
- Affiliations
- Seoul National University (KR)
- University of California, Davis (US)
- Corresponding author
- Carmichael, Owen Thomas
- ORCID
- Venue
- Frontiers in Aging Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2012
- Volume
- 4
- Pages
- 1-1
- ISSN
- 1663-4365 (ISSN-L)
- PMC
- PMC3323836
- OpenAlex
- W2100651338
- Cited by
- 137
- References
- 57
- Citations by year
- 2024: 2 · 2023: 2 · 2022: 4 · 2021: 6 · 2020: 10 · 2019: 9 · 2018: 16 · 2017: 20 · 2016: 17 · 2015: 19 · 2014: 14 · 2013: 17 · 2012: 1
- FWCI
- 11.61
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc
- Locations
- Frontiers in Aging Neuroscience (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institutes of Health (AG10129, AG031563)
- National Institute on Aging (P30AG010129, R01AG021028, K01AG030514, R01AG010220, R01AG031563)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- Alzheimer's disease, hippocampal subfields, subiculum, CA1, axonal degeneration, white matter injury, fractional anisotropy, hippocampal atrophy, mild cognitive impairment, episodic memory, diffusion tensor imaging
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