Diagnostic utility of hippocampal size and mean diffusivity in amnestic MCI.
Abstract
Hippocampus atrophy is a frequent finding in mild cognitive impairment (MCI), whereas diffusion-tensor-imaging (DTI) has demonstrated its value to detect subtle brain tissue changes in several neuropsychiatric diseases including MCI. To compare the diagnostic accuracy of both methods, high resolution MRI scans for hippocampus volumetry, and co-registered DTI-scans for ROI-based mean diffusivity (MD) and fractional anisotropy (FA) were carried out in 18 patients with amnestic MCI (7 females, age 67.3+/-8.7 years, MMSE 25.2+/-2.2) and 18 controls (age 66.9+/-9.0 years, MMSE 28.7+/-1.0). Diagnostic properties of normalized hippocampus volume (HV) and DTI measures with regard to MCI status were estimated by receiver operating characteristics (ROC) analyses and logistic regression. Parameters of the left hippocampus showed superior predictive power when compared to the right. At a specificity set to 80%, left HV had low sensitivity (50%); left hippocampal MD values revealed superior sensitivity (89%), similar to left hippocampal FA (78%). The results demonstrate higher sensitivity of DTI-derived left hippocampal parameters than volume measures in detecting subtle hippocampal abnormalities related to MCI.
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?
Reduced FA and increased MD in the hippocampus were reported in many human studies, probably attributed to increased extracellular space volume and neurodegeneration.
“Reduced FA and increased MD in hippocampus were reported in many of these human studies, probably attributed to increased extracellular space volume and neurodegeneration (Muller et al., 2007; Cherubini et al., 2010; Hong et al., 2013; Nowrangi et al., 2013).”
From Age-dependent microstructure alterations in 5xFAD mice by high-resolution diffusion tensor imaging (2022) · cites this paper as Muller et al., 2007
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 Müller et al., 2007
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 Müller et al., 2007
Cites
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
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882 · see citing works
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
Mild cognitive impairment as a diagnostic entity
Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864 · see citing works
Current concepts in mild cognitive impairment
Petersen, R. C., Doody, R., Kurz, A., Mohs, R. C., Morris, J. C., Rabins, P. V., Ritchie, K., Rossor, M., Thal, L., & Winblad, B. (2001) · Archives of Neurology · doi:10.1001/archneur.58.12.1985 · Cited by 4,781 · see citing works
Estimation of the Effective Self-Diffusion Tensor from the NMR Spin Echo
Basser, P. J., Mattiello, J., & Bihan, D. L. (1994) · Journal of Magnetic Resonance Series B · doi:10.1006/jmrb.1994.1037 · Cited by 3,656 · see citing works
Mild Cognitive Impairment Represents Early-Stage Alzheimer Disease
Morris, J. C., Storandt, M., Miller, J. P., McKeel, D. W., Price, J. L., Rubin, E. H., & Berg, L. (2001) · Archives of Neurology · doi:10.1001/archneur.58.3.397 · Cited by 1,833 · see citing works
Grundman, M. (2004) · Archives of Neurology · doi:10.1001/archneur.61.1.59 · Cited by 972 · see citing works
Pruessner, J. C. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.4.433 · Cited by 706 · see citing works
Hippocampus and entorhinal cortex in mild cognitive impairment and early AD
Pennanen, C., Kivipelto, M., Tuomainen, S., Hartikainen, P. H., Hänninen, T., Laakso, M. P., Hallikainen, M., Vanhanen, M., Nissinen, A. M., Helkala, E., et al. (2003) · Neurobiology of Aging · doi:10.1016/s0197-4580(03)00084-8 · Cited by 646 · see citing works
Petten, C. K. V. (2004) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2004.04.006 · Cited by 593 · see citing works
Advances in the early detection of Alzheimer's disease
Nestor, P. J., Scheltens, P., & Hodges, J. R. (2004) · Nature Medicine · doi:10.1038/nrn1433 · Cited by 465 · see citing works
Looking Backward to Move Forward: Early Detection of Neurodegenerative Disorders
DeKosky, S. T., & MAREK, K. L. (2003) · Science · doi:10.1126/science.1090349 · Cited by 403 · see citing works
MRI-derived entorhinal volume is a good predictor of conversion from MCI to AD
deToledo‐Morrell, L., Stoub, T. R., Bulgakova, M., Wilson, R. S., Bennett, D. A., Leurgans, S. E., Wuu, J., & Turner, D. A. (2004) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2003.12.007 · Cited by 324 · see citing works
Fellgiebel, A., Wille, P., Müller, M. J., Winterer, G., Scheurich, A., Vucurevic, G., Schmidt, L. G., & Stoeter, P. (2004) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000077817 · Cited by 298 · see citing works
Self-citationDWI predicts future progression to Alzheimer disease in amnestic mild cognitive impairment
Kantarci, K., Petersen, R. C., Boeve, B. F., Knopman, D. S., Weigand, S. D., O’Brien, P. C., Shiung, M. M., Smith, G. E., Ivnik, R. J., Tangalos, E. G., et al. (2005) · Neurology · doi:10.1212/01.wnl.0000153076.46126.e9 · Cited by 251 · see citing works
Magnetic Resonance Imaging Signal Hyperintensities in the Deep and Subcortical White Matter
Schmidt, R. (1992) · Archives of Neurology · doi:10.1001/archneur.1992.00530320049011 · Cited by 246 · see citing works
Mean diffusivity and fractional anisotropy histograms of patients with multiple sclerosis.
Cercignani, M., Inglese, M., Pagani, E., Comi, G., & Filippi, M. (2001) · PubMed Central · Cited by 234 · 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-citationKantarci, K., Xu, Y., Shiung, M. M., O’Brien, P. C., Cha, R. H., Smith, G. E., Ivnik, R. J., Boeve, B. F., Edland, S. D., Kokmen, E., et al. (2002) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000066021 · Cited by 158 · see citing works
Diffusion tensor imaging of the hippocampal formation in temporal lobe epilepsy.
Assaf, B. A., Mohamed, F. B., Khaled, K. A., Williams, J. M., Yazeji, M. S., Haselgrove, J. C., & Faro, S. H. (2003) · PubMed Central · Cited by 140 · see citing works
Thalmann, B., Monsch, A. U., Schneitter, M., et al. (2000) · Neurobiology of Aging · doi:10.1016/s0197-4580(00)82810-9 · Cited by 63 · see citing works
Amygdala-Hippocampal Atrophy and Memory Performance in Dementia of Alzheimer Type
Heun, R., Mazánek, M., Atzor, K.-R., Tintěra, J., Gawehn, J., Burkart, M., Gänsicke, M., Falkai, P., & Stoeter, P. (1997) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000106651 · Cited by 62 · see citing works
Self-citationIntracranial Area: A Validated Method for Estimating Intracranial Volume
Ferguson, K. J. (2004) · Journal of Neuroimaging · doi:10.1177/1051228404270243 · Cited by 58 · see citing works
The role of volumetric MRI in understanding mild cognitive impairment and similar classifications
Anstey, K. J., & Maller, J. J. (2003) · Aging & Mental Health · doi:10.1080/1360786031000120732 · Cited by 56 · see citing works
Intracranial Area: A Validated Method for Estimating Intracranial Volume
Ferguson, K. J., Wardlaw, J. M., Edmond, C. L., Deary, I. J., & MacLullich, A. M. J. (2005) · Journal of Neuroimaging · doi:10.1111/j.1552-6569.2005.tb00289.x · Cited by 52 · see citing works
Müller, M. J., Mazánek, M., Weibrich, C., et al. (2006) · PubMed · Cited by 30 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
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
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
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
<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
Praet, 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
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
Cherubini, A., Péran, P., Spoletini, I., Di Paola, M., Di Iulio, F., Hagberg, G. E., Sancesario, G., Gianni, W., Bossù, P., Caltagirone, C., et al. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-091186 · Cited by 123 · see citing works
Education mediates microstructural changes in bilateral hippocampus
Piras, F., Cherubini, A., Caltagirone, C., & Spalletta, G. (2011) · Human Brain Mapping · doi:10.1002/hbm.21018 · Cited by 117 · see citing works
Rossini, P. M., Miraglia, F., & Vecchio, F. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12645 · Cited by 93 · see citing works
Teipel, S. J., the EDSD study group, Grothe, M. J., Filippi, M., Fellgiebel, A., Dyrba, M., Frisoni, G. B., Meindl, T., Bokde, A. L. W., Hampel, H., et al. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-131829 · Cited by 82 · see citing works
Amygdala and hippocampus volumetry and diffusivity in relation to dreaming
De Gennaro, L., Cipolli, C., Cherubini, A., Assogna, F., Cacciari, C., Marzano, C., Curcio, G., Ferrara, M., Caltagirone, C., & Spalletta, G. (2011) · Human Brain Mapping · doi:10.1002/hbm.21120 · Cited by 79 · 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
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
Automated tractography of the cingulate bundle in Alzheimer's disease: a multicenter DTI study
Fischer, F. U., Scheurich, A., Wegrzyn, M., Schermuly, I., Bokde, A. L. W., Klöppel, S., Pouwels, P. J. W., Teipel, S., Yakushev, I., & Fellgiebel, A. (2012) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.23621 · Cited by 34 · see citing works
Self-citationScrascia, F., Curcio, G., Ursini, F., Trotta, L., Quintiliani, L., Migliore, S., Altamura, C., Pitocco, F., Altavilla, R., Melgari, J.-M., et al. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-130788 · Cited by 22 · 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
“Reduced FA and increased MD in hippocampus were reported in many of these human studies, probably attributed to increased extracellular space volume and neurodegeneration (Muller et al., 2007; Cherubini et al., 2010; Hong et al., 2013; Nowrangi et al., 2013).”
Background
- Authors
- Müller, M. J., Greverus, D., Weibrich, C., Dellani, P. R., Scheurich, A., Stoeter, P., & Fellgiebel, A.
- Affiliations
- Johannes Gutenberg University Mainz (DE)
- Corresponding author
- Müller, Matthias J.
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2007-03
- Volume
- 28
- Issue
- 3
- Pages
- 398-403
- ISSN
- 0197-4580 (ISSN-L)
- OpenAlex
- W2061771692
- Cited by
- 140
- References
- 28
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 5 · 2023: 3 · 2022: 7 · 2021: 1 · 2020: 8 · 2019: 3 · 2018: 5 · 2017: 8 · 2016: 7 · 2015: 14 · 2014: 7 · 2013: 12 · 2012: 14
- FWCI
- 4.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurobiology of Aging (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
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
- Keywords
- amnestic mild cognitive impairment, hippocampal atrophy, hippocampal volume, mean diffusivity, fractional anisotropy, diffusion tensor imaging, hippocampal volumetry, diagnostic accuracy, left hippocampus, hippocampal asymmetry
- MeSH terms
- Aged, Amnesia, Analysis of Variance, Cognition Disorders, Female, Hippocampus, Humans, Functional Laterality, Male, Middle Aged, ROC Curve, Reproducibility of Results, Logistic Models, Case-Control Studies, 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