Ultrastructural hippocampal and white matter alterations in mild cognitive impairment: a diffusion tensor imaging study
Abstract
Mild cognitive impairment (MCI) is considered to be a transitional stage between normal aging and dementia. In Alzheimer's disease (AD), white matter structural pathology is due to Wallerian degeneration and central angiopathy. However, in MCI patients, the presence and extent of white matter alterations as a possible correlate of impaired memory function and as predictor of subsequent progression to AD is not clarified yet. Diffusion tensor imaging (DTI) reveals the ultrastructural integrity of cerebral white matter tracts. Therefore, it could detect pathological processes that modify tissue integrity in patients with MCI. In our prospective study, conventional and diffusion tensor MR scans were obtained from 14 patients with MCI, 19 patients with AD, and 10 healthy controls. Mean diffusivity (MD) and fractional anisotropy (FA) were measured in temporal, frontal, parietal and occipital white matter regions as well as in the corpus callosum (genu and splenium) and the hippocampus. MCI patients showed higher MD values in the left centrum semiovale (p = 0.013; right: p = 0.026), in the left temporal (p = 0.006), the right temporal (p = 0.014) and the left hippocampal (p = 0.002) region as compared to the control group. FA values of MCI patients and controls did not differ significantly in any region. Compared to controls, AD patients had increased MD values in the left centrum semiovale (p = 0.012), the left parietal (p = 0.001), the right parietal (p = 0.028), the left tempora…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Previous studies reported increases of hippocampal mean diffusivity and whole brain gray matter mean diffusivity in subjects with mild cognitive impairment compared to healthy controls.
“Previous studies on GM MD in AD reported increases of hippocampal MD and whole brain GM MD in subjects with mild cognitive impairment (MCI) as compared to healthy controls (Cherubini et al., 2010, Eustache et al., 2016, Fellgiebel et al., 2004, Müller et al., 2005, Scola et al., 2010)”
From Mean diffusivity in cortical gray matter in Alzheimer's disease: The importance of partial volume correction (2018) · cites this paper as Fellgiebel et al., 2004
The MD measurements in grey matter regions are in good agreement with previous studies that have detected elevated values in the brains of AD patients and in mouse models exhibiting amyloid pathology at late stages of progression.
“The MD measurements in grey matter regions are in good agreement with previous studies that have detected elevated values in the brains of AD patients (Fellgiebel et al., 2004, Kantarci et al., 2001, Rose et al., 2008) and in mouse models exhibiting amyloid pathology at late stages of progression (Sun et al., 2005).”
From In vivo imaging of tau pathology using multi-parametric quantitative MRI (2015) · cites this paper as Fellgiebel et al., 2004
Cites
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980 · see citing works
Diffusion tensor MR imaging of the human brain
Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996) · Radiology · doi:10.1148/radiology.201.3.8939209 · Cited by 2,664 · see citing works
Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment
Jack, C. R., Petersen, R. C., Xu, Y. C., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Boeve, B. F., Waring, S. C., Tangalos, E. G., & Kokmen, E. (1999) · Neurology · doi:10.1212/wnl.52.7.1397 · Cited by 1,404 · see citing works
Preclinical prediction of Alzheimer's disease using SPECT
Johnson, K. A., Jones, K., Holman, B. L., Becker, J. A., Spiers, P. A., Satlin, A., & Albert, M. S. (1998) · Neurology · doi:10.1212/wnl.50.6.1563 · Cited by 471 · see citing works
Mild cognitive impairment and Alzheimer disease: regional diffusivity of water
Kantarci, K., Jack, C. R., Xu, Y. C., Campeau, N. G., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Boeve, B. F., Kokmen, E., Tangalos, E. G., et al. (2001) · Radiology · doi:10.1148/radiology.219.1.r01ap14101 · Cited by 300 · see citing works
a, S. (1999) · Journal of Psychiatric Research · doi:10.1016/s0022-3956(98)90048-6 · Cited by 148 · see citing works
Altered glucose metabolism in the hippocampal head in memory impairment
Ouchi, Y., Nobezawa, S., Okada, H., Yoshikawa, E., Futatsubashi, M., & Kaneko, M. (1998) · Neurology · doi:10.1212/wnl.51.1.136 · Cited by 85 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Diffusion tensor imaging (DTI)-based white matter mapping in brain research: a review
Assaf, Y., & Pasternak, O. (2008) · Journal of Molecular Neuroscience · doi:10.1007/s12031-007-0029-0 · Cited by 1,537 · see citing works
Mueller, S. G., Weiner, M. W., Thal, L. J., Petersen, R. C., Jack, C. R., Jagust, W., Trojanowski, J. Q., Toga, A. W., & Beckett, L. (2005) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2005.06.003 · Cited by 1,233 · see citing works
Hippocampal synaptic loss in early Alzheimer's disease and mild cognitive impairment
Scheff, S. W., Price, D. A., Schmitt, F. A., & Mufson, E. J. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.012 · Cited by 1,017 · 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
White matter changes in mild cognitive impairment and AD: a diffusion tensor imaging study
Medina, D., deToledo-Morrell, L., Urresta, F., Gabrieli, J. D. E., Moseley, M., Fleischman, D., Bennett, D. A., Leurgans, S., Turner, D. A., & Stebbins, G. T. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.03.026 · Cited by 492 · see citing works
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
Absolute diffusivities define the landscape of white matter degeneration in Alzheimer’s disease
Acosta-Cabronero, J., Williams, G. B., Pengas, G., & Nestor, P. J. (2010) · Brain · doi:10.1093/brain/awp257 · Cited by 393 · see citing works
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
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
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
Bosch, B., Arenaza-Urquijo, E. M., Rami, L., Sala-Llonch, R., Junqué, C., Solé-Padullés, C., Peña-Gómez, C., Bargalló, N., Molinuevo, J. L., & Bartrés-Faz, D. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.02.004 · Cited by 272 · see citing works
Villain, N., Fouquet, M., Baron, J.-C., Mezenge, F., Landeau, B., de La Sayette, V., Viader, F., Eustache, F., Desgranges, B., & Chetelat, G. (2010) · Brain · doi:10.1093/brain/awq203 · Cited by 237 · see citing works
Age differences in the formation and use of cognitive maps
Iaria, G., Palermo, L., Committeri, G., & Barton, J. J. S. (2009) · Behavioural Brain Research · doi:10.1016/j.bbr.2008.08.040 · Cited by 231 · 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
White matter integrity and cognition in childhood and old age
Deary, I. J., Bastin, M. E., Pattie, A., Clayden, J. D., Whalley, L. J., Starr, J. M., & Wardlaw, J. M. (2006) · Neurology · doi:10.1212/01.wnl.0000199954.81900.e2 · Cited by 207 · see citing works
Functional implications of hippocampal volume and diffusivity in mild cognitive impairment
Müller, M. J., Greverus, D., Dellani, P. R., Weibrich, C., Wille, P. R., Scheurich, A., Stoeter, P., & Fellgiebel, A. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.029 · Cited by 210 · see citing works
Self-citationKonrad, A., Dielentheis, T. F., El Masri, D., Bayerl, M., Fehr, C., Gesierich, T., Vucurevic, G., Stoeter, P., & Winterer, G. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07110.x · Cited by 191 · see citing works
Self-citationDiagnostic utility of hippocampal size and mean diffusivity in amnestic MCI.
Müller, M. J., Greverus, D., Weibrich, C., Dellani, P. R., Scheurich, A., Stoeter, P., & Fellgiebel, A. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.01.009 · Cited by 140 · see citing works
Self-citationPraet, J., Manyakov, N. V., Muchene, L., Mai, Z., Terzopoulos, V., de Backer, S., Torremans, A., Guns, P.-J., Van De Casteele, T., Bottelbergs, A., et al. (2018) · Alzheimer's Research & Therapy · doi:10.1186/s13195-017-0329-8 · Cited by 133 · see citing works
DTI analyses and clinical applications in Alzheimer’s disease
Oishi, K., Mielke, M. M., Albert, M., Lyketsos, C. G., & Mori, S. (2011) · Journal of Alzheimer's Disease · doi:10.3233/jad-2011-0007 · Cited by 134 · see citing works
Clerx, L., Visser, P. J., Verhey, F., & Aalten, P. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-110797 · Cited by 132 · see citing works
Gold, B. T., Powell, D. K., Andersen, A. H., & Smith, C. D. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.036 · Cited by 112 · see citing works
In vivo imaging of tau pathology using multi-parametric quantitative MRI
Wells, J. A., O'Callaghan, J. M., Holmes, H. E., Powell, N. M., Johnson, R. A., Siow, B., Torrealdea, F., Ismail, O., Walker-Samuel, S., Golay, X., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.023 · Cited by 93 · 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
Westlye, L. T., Walhovd, K. B., Bjørnerud, A., Due-Tønnessen, P., & Fjell, A. M. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn084 · Cited by 80 · 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
Mak, E., Gabel, S., Su, L., Williams, G. B., Arnold, R., Passamonti, L., Vazquez Rodríguez, P., Surendranathan, A., Bevan-Jones, W. R., Rowe, J. B., et al. (2017) · International Psychogeriatrics · doi:10.1017/s1041610216002143 · Cited by 66 · see citing works
Henf, J., Grothe, M. J., Brueggen, K., Teipel, S., & Dyrba, M. (2018) · NeuroImage: Clinical · doi:10.1016/j.nicl.2017.10.005 · Cited by 64 · see citing works
The DELCODE Study Group, Brueggen, K., Dyrba, M., Cardenas-Blanco, A., Schneider, A., Fliessbach, K., Buerger, K., Janowitz, D., Peters, O., Menne, F., et al. (2019) · Journal of Neurology · doi:10.1007/s00415-019-09429-3 · Cited by 51 · see citing works
Predicting white matter integrity from multiple common genetic variants
Kohannim, O., Jahanshad, N., Braskie, M. N., Stein, J. L., Chiang, M.-C., Reese, A. H., Hibar, D. P., Toga, A. W., McMahon, K. L., de Zubicaray, G. I., et al. (2012) · Neuropsychopharmacology · doi:10.1038/npp.2012.49 · Cited by 50 · see citing works
Konrad, A., Dielentheis, T. F., Masri, D. E., Dellani, P. R., Stoeter, P., Vucurevic, G., & Winterer, G. (2012) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-011-0251-1 · Cited by 48 · see citing works
Self-citationHong, Y. J., Yoon, B., Lim, S.-C., Shim, Y. S., Kim, J.-Y., Ahn, K. J., Han, I.-W., & Yang, D. W. (2013) · Neurological Sciences · doi:10.1007/s10072-012-1225-4 · Cited by 48 · see citing works
Li, Y.-D., Dong, H.-B., Xie, G.-M., & Zhang, L.-J. (2013) · American Journal of Alzheimer's Disease & Other Dementias® · doi:10.1177/1533317513494452 · Cited by 42 · 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
Snow, W. M., Dale, R., O’Brien-Moran, Z., Buist, R., Peirson, D., Martin, M., & Albensi, B. C. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170136 · Cited by 29 · see citing works
In vivo diffusion tensor imaging of amyloid‐β‐induced white matter damage in mice
Sun, S.-W., Liang, H.-F., Mei, J., Xu, D., & Shi, W.-X. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-130236 · Cited by 27 · see citing works
Alzheimer's disease biomarkers: correspondence between human studies and animal models
Sabbagh, J. J., Kinney, J. W., & Cummings, J. L. (2013) · Neurobiology of Disease · doi:10.1016/j.nbd.2013.04.010 · Cited by 27 · see citing works
White Matter Alterations in Cognitively Normal apoE ɛ2 Carriers: Insight into Alzheimer Resistance?
Chiang, G. C., Zhan, W., Schuff, N., & Weiner, M. W. (2012) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2984 · Cited by 25 · see citing works
- Authors
- Fellgiebel, A., Wille, P., Müller, M. J., Winterer, G., Scheurich, A., Vucurevic, G., Schmidt, L. G., & Stoeter, P.
- Affiliations
- Johannes Gutenberg University Mainz (DE)
- Venue
- Dementia and Geriatric Cognitive Disorders
- Publisher
- S. Karger AG
- Published
- 2004
- Volume
- 18
- Issue
- 1
- Pages
- 101-108
- ISSN
- 1420-8008 (ISSN-L)
- 1421-9824
- OpenAlex
- W1994206031
- Cited by
- 298
- References
- 7
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 4 · 2023: 4 · 2022: 7 · 2021: 4 · 2020: 5 · 2019: 10 · 2018: 14 · 2017: 11 · 2016: 8 · 2015: 15 · 2014: 8 · 2013: 28 · 2012: 25
- FWCI
- 11.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Dementia and Geriatric Cognitive Disorders (publishedVersion)
- PubMed (publishedVersion)
- 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
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Keywords
- mild cognitive impairment, Alzheimer's disease, white matter changes, hippocampus, mean diffusivity, fractional anisotropy, diffusion tensor imaging, centrum semiovale, corpus callosum, Wallerian degeneration, dementia progression, white matter microstructure, memory impairment, brain ultrastructure, temporal lobe
- MeSH terms
- Aged, Alzheimer Disease, Brain, Cognition Disorders, Female, Hippocampus, Humans, Hypercholesterolemia, Hypertension, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Neuropsychological Tests, Psychiatric Status Rating Scales, Risk Factors, Anisotropy
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