Cited by 210Dementia and Cognitive Impairment ResearchAdvanced Neuroimaging Techniques and ApplicationsCancer-related cognitive impairment studies

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Functional implications of hippocampal volume and diffusivity in mild cognitive impairment

Müller, Matthias J., Greverus, Dirk, Dellani, Paulo Roberto, Weibrich, Carsten, Wille, Paulo R., Scheurich, Armin, Stoeter, Peter, Fellgiebel, Andreas·2005·NeuroImage

DOI 10.1016/j.neuroimage.2005.06.029

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Abstract

Hippocampal atrophy has been related to mild cognitive impairment (MCI) and early Alzheimer disease (AD), but the diagnostic significance of cross-sectionally determined hippocampal volumes is still ambiguous. Diffusion-Tensor-Imaging (DTI) in MCI patients revealed an association of microstructural changes in hippocampal areas with verbal memory decline. MRI volumetry and DTI were combined to investigate 18 MCI patients attending a memory clinic, and 18 carefully age- and gender-matched healthy controls. Neuropsychological testing, high resolution T1-weighted volume MRI scans, and DTI scans with regions-of-interest in hippocampal areas were applied. Left hippocampal volume was significantly lower (-11%, P = 0.02) in MCI patients than in control subjects. No significant differences were found for the right hippocampus (-4%). Mean diffusivity (MD) was significantly elevated in MCI patients vs. controls in left (+10%, P = 0.002) and right hippocampal areas (+13%, P = 0.02). Hippocampal volume and MD values were not significantly correlated. Combining left hippocampal volume and MD measures showed that lower left hippocampal volumes were associated with poor verbal memory performance particularly when co-occurring with high MD values. No comparable associations could be found regarding the right hippocampal formation and with respect to non-verbal memory function. The results demonstrate that microstructural abnormalities as revealed by DTI are very sensitive early indicators of…

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Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
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
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
The Mini‐Mental State Examination: A Comprehensive Review
Tombaugh, T. N., & McIntyre, N. J. (1992) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1992.tb01992.x · Cited by 5,152
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
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,628
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
Regional Brain Changes in Aging Healthy Adults: General Trends, Individual Differences and Modifiers
Raz, N., Lindenberger, U., Rodrigue, K. M., Kennedy, K. M., Head, D., Williamson, A., Dahle, C., Gerstorf, D., & Acker, J. D. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi044 · Cited by 2,875
Consortium to Establish a Registry for Alzheimer's Disease (CERAD)
Fillenbaum, G., & Heyman, A. (2002) · doi:10.1002/0470846410.ch42(iii · Cited by 2,859
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

Show all 85 references

Research works printed but not linked: 1

Thalmann, 1998, CERAD neuropsychological battery: a minimal data set to be used as a common assessment tool of dementia, Neurobiol. Aging, 19, S9

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Gong, N., Chan, C., Leung, L., Wong, C.-S., Dibb, R., & Liu, C. (2017) · Human Brain Mapping · doi:10.1002/hbm.23535 · Cited by 62
Structural brain changes and cognition in relation to markers of vascular dysfunction
Miralbell, J., Soriano, J. J., Spulber, G., Elena López-Cancio, M., Arenillas, J. F., Bargalló, N., Galán, A., Barrios, M., Cáceres, C. M., Alzamora, M. T., et al. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.09.020 · Cited by 61
Abnormal integrity of association fiber tracts in amnestic mild cognitive impairment
Bai, F., Zhang, Z., Watson, D. R., Yu, H., Shi, Y., Yuan, Y., Qian, Y., & Jia, J. (2009) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2008.12.009 · Cited by 59
Diffusion abnormality in the posterior cingulum and hippocampal volume: correlation with disease progression in Alzheimer's disease
Nakata, Y., Sato, N., Nemoto, K., Abe, O., Shikakura, S., Arima, K., Furuta, N., Uno, M., Hirai, S., Masutani, Y., et al. (2008) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2008.07.013 · Cited by 59
Cortical thickness atrophy in the transentorhinal cortex in mild cognitive impairment
Kulason, S., Tward, D. J., Brown, T., Sicat, C. S., Liu, C.-F., Ratnanather, J. T., Laurent Younes, B., Bakker, A., Gallagher, M., Albert, M., et al. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.101617 · Cited by 59
Hippocampal glutathione depletion with enhanced iron level in patients with mild cognitive impairment and Alzheimer’s disease compared with healthy elderly participants
Mandal, P. K., Goel, A., Bush, A. I., Punjabi, K., Joon, S., Mishra, R., Tripathi, M., Garg, A., Kumar, N. K., Sharma, P., et al. (2022) · Brain Communications · doi:10.1093/braincomms/fcac215 · Cited by 61
Hippocampal viscoelasticity and episodic memory performance in healthy older adults examined with magnetic resonance elastography
Hiscox, L. V., Johnson, C. L., McGarry, M., Schwarb, H. D., van Beek, E. J. R., Roberts, N., & Starr, J. M. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9988-8 · Cited by 55
Morphological and Microstructural Changes of the Hippocampus in Early MCI: A Study Utilizing the Alzheimer's Disease Neuroimaging Initiative Database
Lee, P., Ryoo, H., Park, J., Jeong, Y., & Initiative, A. D. N. (2017) · Journal of Clinical Neurology · doi:10.3988/jcn.2017.13.2.144 · Cited by 52
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
Exploiting macro- and micro-structural brain changes for improved Parkinson’s disease classification from MRI data
Camacho, M., Wilms, M., Almgren, H., Amador, K., Camicioli, R. M., Ismail, Z., Monchi, O., Forkert, N. D., & Initiative, A. D. N. (2024) · npj Parkinson s Disease · doi:10.1038/s41531-024-00647-9 · Cited by 53
Predicting neurocognitive function with hippocampal volumes and DTI metrics in patients with Alzheimer's dementia and mild cognitive impairment
Shim, G., Choi, K., Kim, D., Suh, S., Lee, S., Jeong, H., & Jeong, B. (2017) · Brain and Behavior · doi:10.1002/brb3.766 · Cited by 46
Acceleration of hippocampal atrophy in a non-demented elderly population: the SNAC-K study
Zhang, Y., Qiu, C., Lindberg, O. E., Bronge, L. H., Aspelin, P., Bäckman, L., Fratiglioni, L., & Wahlund, L. (2009) · International Psychogeriatrics · doi:10.1017/s1041610209991396 · Cited by 48
Regional cerebral blood flow reductions, heart failure and Alzheimer's disease
Alves, T. C. T. F., & Busatto, G. F. (2006) · Neurological Research · doi:10.1179/016164106x130416 · Cited by 45
Discrimination of normal aging, MCI and AD with multimodal imaging measures on the medial temporal lobe
Jhoo, J. H., Lee, D. Y., Choo, I. H., Seo, E. H., Oh, J. S., Lee, J. S., Lee, D. S., Kim, S. G., Youn, J. C., Kim, K. W., et al. (2010) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2010.03.006 · Cited by 43
Machine Learning for the Classification of Alzheimer’s Disease and Its Prodromal Stage Using Brain Diffusion Tensor Imaging Data: A Systematic Review
Billeci, L., Badolato, A., Bachi, L., & Tonacci, A. (2020) · Processes · doi:10.3390/pr8091071 · Cited by 44
Fractional anisotropy and mean diffusivity: comparison between 3.0‐T and 1.5‐T diffusion tensor imaging with parallel imaging using histogram and region of interest analysis
Fushimi, Y., Miki, Y., Okada, T., Yamamoto, A., Mori, N., Hanakawa, T., Urayama, S., Aso, T., Fukuyama, H., Kikuta, K., et al. (2007) · NMR in Biomedicine · doi:10.1002/nbm.1139 · Cited by 41
Measuring cortical mean diffusivity to assess early microstructural cortical change in presymptomatic familial Alzheimer’s disease
Weston, P. S. J., Poole, T., Nicholas, J. M., Toussaint, N., Simpson, I., Marc Modat, A., Ryan, N. S., Liang, Y., Rossor, M. N., Schott, J. M., et al. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00679-2 · Cited by 41
Can multi-modal neuroimaging evidence from hippocampus provide biomarkers for the progression of amnestic mild cognitive impairment?
Chen, J., Zhang, Z., & Li, S. (2015) · Neuroscience Bulletin · doi:10.1007/s12264-014-1490-8 · Cited by 44
Changes of gray matter volume and amplitude of low-frequency oscillations in amnestic MCI: An integrative multi-modal MRI study
Zhao, Z., Fan, F., Lu, J., Li, H., Jia, L., Han, Y., & Li, K. (2014) · Acta Radiologica · doi:10.1177/0284185114533329 · Cited by 41
Predicting amyloid positivity in patients with mild cognitive impairment using a radiomics approach
Kim, J. P., Kim, J., Jang, H., Kim, J., Kang, S. H., Kim, J. S., Lee, J. M., Na, D. L., Kim, H. J., Seo, S. W., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-86114-4 · Cited by 42
Visit-to-Visit Blood Pressure Variability in Young Adulthood and Hippocampal Volume and Integrity at Middle Age
Yano, Y., Reis, J. P., Levine, D. A., Bryan, R. N., Viera, A. J., Shimbo, D., Tedla, Y. G., Allen, N. B., Schreiner, P. J., Bancks, M. P., et al. (2017) · Hypertension · doi:10.1161/hypertensionaha.117.10144 · Cited by 40
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Nagy, H., Kéri, S., Myers, C. E., Benedek, G., Daphna Shohamy, A., & Gluck, M. A. (2006) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2006.10.017 · Cited by 40
Hippocampal volume reduction in elderly patients at risk for postoperative cognitive dysfunction
Chen, M., Liao, Y., Rong, P., Hu, R., Lin, G., & Ouyang, W. (2013) · Journal of Anesthesia · doi:10.1007/s00540-012-1548-6 · Cited by 39
Strategies for molecular imaging dementia and neurodegenerative diseases
Schaller, B. J. (2008) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s2154 · Cited by 38
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Wang, X., Wang, J., He, Y., Li, H., Yuan, H., Evans, A. C., Yu, X., Yong He, A., & Wang, H. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-142556 · Cited by 38
Preventive effects of an intergenerational program on age‐related hippocampal atrophy in older adults: The REPRINTS study
Sakurai, R., Ishii, K., Sakuma, N., Yasunaga, M., Suzuki, H., Murayama, Y., Nishi, M., Uchida, H., Shinkai, S., & Fujiwara, Y. (2018) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.4785 · Cited by 37
Comparison between visual assessment of MTA and hippocampal volumes in an elderly, non-demented population
Cavallin, L., Bronge, L., Zhang, Y., Öksengård, A., Wahlund, L., Fratiglioni, L., & Axelsson, R. (2012) · Acta Radiologica · doi:10.1258/ar.2012.110664 · Cited by 37
Using Structural and Diffusion Magnetic Resonance Imaging To Differentiate the Dementias
Suri, S., Topiwala, A., Mackay, C. E., Ebmeier, K. P., & Filippini, N. (2014) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-014-0475-3 · Cited by 35
Fractional anisotropy derived from the diffusion tensor distribution function boosts power to detect Alzheimer’s disease deficits
Nir, T. M., Jahanshad, N., Villalon‐Reina, J. E., Isaev, D., Zavaliangos‐Petropulu, A., Zhan, L., Leow, A. D., Jack, C. R., Weiner, M. W., Thompson, P. M., et al. (2017) · Magnetic Resonance in Medicine · doi:10.1002/mrm.26623 · Cited by 34
Distinct Atrophy Pattern of Hippocampal Subfields in Patients with Progressive and Stable Mild Cognitive Impairment: A Longitudinal MRI Study
Zeng, Q., Initiative, A. F. T. A. D. N., Li, K., Luo, X., Wang, S., Xu, X., Li, Z., Zhang, T., Liu, X., Fu, Y., et al. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200775 · Cited by 35
Increased hippocampal head diffusivity predicts impaired episodic memory performance in early Alzheimer's disease
Yakushev, I. Y., Müller, M. J., Lorscheider, M., Schermuly, I., Weibrich, C., Dellani, P. R., Hammers, A., Stoeter, P., & Fellgiebel, A. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.01.014 · Cited by 37
Self-citation
Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer’s Disease
Wen, J., Samper‐Gonzàlez, J., Bottani, S., Routier, A., Burgos, N., Jacquemont, T., Fontanella, S., Durrleman, S., Epelbaum, S., Bertrand, A., et al. (2020) · Neuroinformatics · doi:10.1007/s12021-020-09469-5 · Cited by 38
Coupled changes in hippocampal structure and cognitive ability in later life
Anblagan, D., Hernández, M. V., Ritchie, S. J., Aribisala, B. S., Royle, N. A., Hamilton, I. F., Cox, S. R., Gow, A. J., Pattie, A., Corley, J., et al. (2018) · Brain and Behavior · doi:10.1002/brb3.838 · Cited by 31

Authors: Müller, M. J., Greverus, D., Dellani, P. R., Weibrich, C., Wille, P. R., Scheurich, A., Stoeter, P., & Fellgiebel, A.
Affiliations: Johannes Gutenberg University Mainz (DE)
Corresponding author: Müller, Matthias J.
ORCID: Müller, Matthias J.
Dellani, Paulo Roberto
Wille, Paulo R.
Stoeter, Peter
Fellgiebel, Andreas
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2005-12
Volume: 28
Issue: 4
Pages: 1033-1042
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1016/j.neuroimage.2005.06.029
OpenAlex: W2045333811
Cited by: 210
References: 85
Citations by year: 2026: 7 · 2025: 8 · 2024: 12 · 2023: 6 · 2022: 10 · 2021: 8 · 2020: 14 · 2019: 6 · 2018: 10 · 2017: 17 · 2016: 7 · 2015: 9 · 2014: 7 · 2013: 8 · 2012: 11
FWCI: 7.02
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: NeuroImage (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 › Oncology › Cancer-related cognitive impairment studies
Keywords: mild cognitive impairment, hippocampal volume, hippocampal atrophy, mean diffusivity, diffusion tensor imaging, verbal memory, hippocampal asymmetry, early detection of neurodegeneration, Alzheimer's disease
MeSH terms: Aged, Atrophy, Cognition Disorders, Female, Hippocampus, Humans, Male, Memory, Psychomotor Performance, Mental Recall, Reproducibility of Results, Infarction, Middle Cerebral Artery, Diffusion Magnetic Resonance Imaging

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Functional implications of hippocampal volume and diffusivity in mild cognitive impairment

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