Predicting conversion to dementia in mild cognitive impairment by volumetric and diffusivity measurements of the hippocampus
Abstract
In our prospective study of diffusion tensor imaging (DTI), we measured hippocampal mean diffusivity (MD) and volumes in amnestic mild cognitive impairment (MCI). Thirteen MCI patients were followed-up by clinical assessment over a mean 112-year period. MCI patients who converted to dementia (6 of 13) during the observation period had slightly elevated left hippocampal mean diffusivity at baseline compared with MCI patients who remained clinically stable. Hippocampal volumes as well as baseline verbal memory and MMSE did not differ significantly between stable MCI patients and converters. Hippocampal diffusivity was superior to hippocampal volumes for prediction of conversion to dementia in MCI patients during a 112-year period.
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?
In some studies, hippocampal diffusivity demonstrated higher diagnostic and prognostic accuracy than hippocampal volume.
“In some studies, hippocampal diffusivity even demonstrated a higher diagnostic and prognostic accuracy than hippocampal volume (Fellgiebel et al., 2006, Kantarci et al., 2005, Müller et al., 2007).”
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., 2006
Previous studies reported increases of mean diffusivity in mild cognitive impairment patients that converted to Alzheimer's disease compared to mild cognitive impairment subjects that remained stable over several years.
“as well as in MCI patients that converted to AD compared to MCI subjects that remained stable over a period of several years (Douaud et al., 2013, Fellgiebel et al., 2006, Scola et al., 2010, van Uden et al., 2016).”
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., 2006
The MCI subjects of the sample were not uniquely amnestic MCI, making the sample more heterogeneous than MCI subgroups in other studies.
“As a limitation, the MCI subjects of our sample were not uniquely amnestic MCI. Thus, our sample is more heterogeneous than the MCI subgroups in other studies”
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., 2006
Cites
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
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-citation
Flagged first, then by citations
Cited by
Sorted by citations
Rathore, S., Habes, M., Iftikhar, M. A., Shacklett, A., & Davatzikos, C. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.057 · Cited by 622 · 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
Lombardi, G., Crescioli, G., Cavedo, E., Lucenteforte, E., Casazza, G., Bellatorre, A.-G., Lista, C., Costantino, G., Frisoni, G., Virgili, G., et al. (2020) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd009628.pub2 · Cited by 214 · see citing works
<scp>EFNS</scp> task force: the use of neuroimaging in the diagnosis of dementia
Filippi, M., Agosta, F., Barkhof, F., Dubois, B., Fox, N. C., Frisoni, G. B., Jack, C. R., Johannsen, P., Miller, B. L., Nestor, P. J., et al. (2012) · European Journal of Neurology · doi:10.1111/j.1468-1331.2012.03859.x · Cited by 141 · see citing works
Kantarci, K., Schwarz, C. G., Reid, R. I., Przybelski, S. A., Lesnick, T. G., Zuk, S. M., Senjem, M. L., Gunter, J. L., Lowe, V., Machulda, M. M., et al. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.1482 · Cited by 88 · 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
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
Alliance for aging research AD biomarkers work group: structural MRI
Jack, C. R. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.09.011 · Cited by 64 · see citing works
Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification
Hett, K., Ta, V.-T., Catheline, G., Tourdias, T., Manjón, J. V., Coupé, P., Initiative, A. D. N., Weiner, M. W., Aisen, P., Petersen, R., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-49970-9 · Cited by 49 · 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
- Authors
- Fellgiebel, A., Dellani, P. R., Greverus, D., Scheurich, A., Stoeter, P., & Müller, M. J.
- Affiliations
- Johannes Gutenberg University Mainz (DE)
- Corresponding author
- Fellgiebel, Andreas
- Venue
- Psychiatry Research: Neuroimaging
- Publisher
- Elsevier BV
- Published
- 2006-04
- Volume
- 146
- Issue
- 3
- Pages
- 283-287
- ISSN
- 0925-4927 (ISSN-L)
- OpenAlex
- W2067279300
- Cited by
- 118
- References
- 2
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 3 · 2023: 5 · 2022: 4 · 2021: 4 · 2020: 10 · 2019: 8 · 2018: 2 · 2017: 5 · 2016: 6 · 2015: 14 · 2014: 7 · 2013: 7 · 2012: 4
- FWCI
- 3.82
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychiatry Research Neuroimaging (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
- Keywords
- amnestic mild cognitive impairment, conversion to dementia, hippocampal volume, diffusion tensor imaging, white matter microstructure, verbal memory, longitudinal follow-up
- MeSH terms
- Aged, Cognition Disorders, Dementia, Female, Hippocampus, Humans, Male, Neuropsychological Tests, Predictive Value of Tests, Prospective Studies, Severity of Illness Index, Diffusion Magnetic Resonance 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
