The DOI matches its Crossref record; 38 of the 39 references it cites were found in a registry or an index.
Combined volumetry and DTI in subcortical structures of mild cognitive impairment and Alzheimer’s disease patients.
Abstract
The aim of this work was to investigate the hypothesis that multimodal MRI is able to detect the progressive disruption of volume and microstructure of subcortical structures in patients with amnestic mild cognitive impairment (a-MCI) and mild Alzheimer's disease (AD) in comparison with healthy controls (CTRL). We combined volumetric and diffusion tensor imaging (DTI) techniques in a cross-sectional study including 30 a-MCI, 30 AD patients, and 30 age-matched CTRL. We employed a fully automated model-based segmentation algorithm on 3 Tesla MRI anatomical images and accurate coregistration of DTI to anatomical images to extract regional values of DTI parameters. Both the hippocampi significantly and progressively decreased in volume from CTRL through MCI to AD. Both the thalami showed a progressive and significant decrease in volume from CTRL to AD. Mean diffusivity (MD) values increased progressively across the three groups in the bilateral hippocampus, amygdala, and in the right caudate. No differences in fractional anisotropy (FA) values were found. Two distinct but overlapping patterns of progression of structural (i.e., atrophy) and microstructural (i.e., MD increase) damage were observed. Particularly, the pattern of atrophy was mirrored by the increasing value of the averaged MD, which provided a further indicator of subtle tissue disruption in the hippocampal structure in mild AD patients. Combining different MRI modalities can allow identifying sensitive indicators of the subtle pathogenic mechanisms that occur in subcortical areas of AD patients.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
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 the citing paper
“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 Cherubini et al., 2010
In the citing paper
“However, most of the studies using DTI data of healthy older and AD participants did not consider PVE at all (Cherubini et al., 2010, Douaud et al., 2013, Eustache et al., 2016, 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 Cherubini et al., 2010
In the citing paper
“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 Cherubini et al., 2010
In the citing paper
“Left and right hippocampi as well as the posterior cingulate cortex (PCC) were chosen as regions of interest following the literature on peak differences in regional MD and volumes in AD (Cherubini et al., 2010, Eustache et al., 2016, Rose et al., 2008).”
From Mean diffusivity in cortical gray matter in Alzheimer's disease: The importance of partial volume correction (2018) · cites this paper as Cherubini et al., 2010
In the citing paper
“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 Cherubini et al., 2010
Citations
Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
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
Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
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
Inflammation and Alzheimer’s disease
Akiyama, H. (2000) · Neurobiology of Aging · doi:10.1016/s0197-4580(00)00124-x · Cited by 4,514
Basser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306
Le Bihan, D., Breton, E., Lallemand, D., Grenier, P., Cabanis, E., & Laval-Jeantet, M. (1986) · Radiology · doi:10.1148/radiology.161.2.3763909 · Cited by 3,912
Staging of alzheimer's disease-related neurofibrillary changes
Braak, H., & Braak, E. (1995) · Neurobiology of Aging · doi:10.1016/0197-4580(95)00021-6 · Cited by 2,357
Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis
Smith, S. M., Zhang, Y., Jenkinson, M., Chen, J. M., Matthews, P. M., Federico, A., & Stefano, N. D. (2002) · NeuroImage · doi:10.1006/nimg.2002.1040 · Cited by 2,013
Carlesimo, G. A., Caltagirone, C., Gainotti, G., Fadda, L., Gallassi, R., Lorusso, S., Marfia, G. A., Marra, C., Nocentini, U., & Parnetti, L. (2008) · European Neurology · doi:10.1159/000117297 · Cited by 1,234
In Vivo Mapping of Gray Matter Loss with Voxel-Based Morphometry in Mild Alzheimer's Disease
Baron, J., Chételat, G., Desgranges, B., Perchey, G., Landeau, B., Sayette, V. D. L., & Eustache, F. (2001) · NeuroImage · doi:10.1006/nimg.2001.0848 · Cited by 699
Global and local gray matter loss in mild cognitive impairment and Alzheimer's disease
Karas, G. B., Scheltens, P., Rombouts, S. A. R. B., Visser, P. J., van Schijndel, R. A., Fox, N. C., & Barkhof, F. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.006 · Cited by 613
Neurofibrillary Tangles, Amyloid, and Memory in Aging and Mild Cognitive Impairment
Guillozet-Bongaarts, A. L., Weıntraub, S., Mash, D. C., & Mesulam, M. M. (2003) · Archives of Neurology · doi:10.1001/archneur.60.5.729 · Cited by 590
Core candidate neurochemical and imaging biomarkers of Alzheimer's disease
Hampel, H. J., Bürger, K., Teipel, S. J., Bokde, A. L. W., Zetterberg, H., & Blennow, K. (2007) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2007.08.006 · Cited by 552
Early diagnosis of alzheimer’s disease: contribution of structural neuroimaging
Chételat, G., & Baron, J. (2003) · NeuroImage · doi:10.1016/s1053-8119(02)00026-5 · Cited by 455
Deichmann, R., Schwarzbauer, C., & Turner, R. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.09.062 · Cited by 391
Desgranges, B. (1998) · Brain · doi:10.1093/brain/121.4.611 · Cited by 326
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
Extrasynaptic volume transmission and diffusion parameters of the extracellular space
Syková, E. (2004) · Neuroscience · doi:10.1016/j.neuroscience.2004.06.077 · Cited by 270
den Heijer, T., Geerlings, M. I., Hoebeek, F. E., Albert Hofman, D., Koudstaal, P. J., & Breteler, M. M. B. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.1.57 · Cited by 268
DWI 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
Aging in the CNS: Comparison of gray/white matter volume and diffusion tensor data
Abe, O., Yamasue, H., Aoki, S., Suga, M., Yamada, H., Kasai, K., Masutani, Y., Kato, N., Kato, N., & Ohtomo, K. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.09.003 · Cited by 239
Krasuski, J., Alexander, G. E., Horwitz, B., Daly, E., Murphy, D., Rapoport, S. I., & Schapiro, M. B. (1998) · Biological Psychiatry · doi:10.1016/s0006-3223(97)00013-9 · Cited by 210
An evaluation of four automatic methods of segmenting the subcortical structures in the brain
Babalola, K., Patenaude, B., Aljabar, P., Schnabel, J. A., Kennedy, D. N., Crum, W. R., Smith, S. M., Cootes, T. F., Jenkinson, M., & Rueckert, D. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.029 · Cited by 205
Teipel, S. J., Born, C., Ewers, M., Bokde, A. L. W., Reiser, M. F., Möller, H., & Hampel, H. J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.008 · Cited by 204
Gray and white matter changes in Alzheimer's disease: a diffusion tensor imaging study
Rose, S. E., Janke PhD, A. L., & Chalk, J. B. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21231 · Cited by 178
Diffusion-weighted MR imaging of the hippocampus and temporal white matter in Alzheimer's disease
Hanyu, H., Sakurai, H., Iwamoto, T., Takasaki, M., Shindo, H., & Abe, K. (1998) · Journal of the Neurological Sciences · doi:10.1016/s0022-510x(98)00043-4 · Cited by 175
Cherubini, A., Péran, P., Caltagirone, C., Sabatini, U., & Spalletta, G. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.035 · Cited by 173
Postmortem MRI and Histopathology of White Matter Changes in Alzheimer Brains
Bronge, L., Bogdanović, N., & Wahlund, L. (2002) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000057698 · Cited by 157
Shiino, A., Watanabe, T., Maeda, K., Kotani, E., Akiguchi, I., & Matsuda, M. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.06.010 · Cited by 150
Diagnostic 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
Alzheimer Patient Evaluation and the Mini-Mental State: Item Characteristic Curve Analysis
Ashford, J. W., Kolm, P., Colliver, J. A., et al. (1989) · Journal of Gerontology · doi:10.1093/geronj/44.5.p139 · Cited by 128
Quantitative MR Imaging in Alzheimer Disease
Ramani, A., Jensen, J. H., & Helpern, J. A. (2006) · Radiology · doi:10.1148/radiol.2411050628 · Cited by 113
Characterization of white matter fiber bundles with T relaxometry and diffusion tensor imaging
Cherubini, A., Péran, P., Hagberg, G. E., Varsi, A. E., Luccichenti, G., Caltagirone, C., Sabatini, U., & Spalletta, G. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21978 · Cited by 70
Spoletini, I., Cherubini, A., Banfi, G., Rubino, I. A., Péran, P., Caltagirone, C., & Spalletta, G. (2009) · Schizophrenia Bulletin · doi:10.1093/schbul/sbp058 · Cited by 66
Ray, K. M., Wang, H., Chu, Y., Chen, Y., Bert, A., Hasso, A. N., & Su, M. (2006) · Radiology · doi:10.1148/radiol.2411051051 · Cited by 64
Preclinical Dementia: An Italian Multicentre Study on Amnestic Mild Cognitive Impairment
Perri, R., Serra, L., Carlesimo, G. A., & Caltagirone, C. (2007) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000100871 · Cited by 44
Flagged first, then by citations
1 of the 39 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Brain imaging of neurovascular dysfunction in Alzheimer’s disease
Montagne, A., Nation, D. A., Pa, J., Sweeney, M. D., Toga, A. W., & Zlokovic, B. V. (2016) · Acta Neuropathologica · doi:10.1007/s00401-016-1570-0 · Cited by 239
“Similarly, other studies of late onset or sporadic AD have also found increased MD within the hippocampus of mildly demented subjects [35, 193].”
Amlien, I. K., & Fjell, A. M. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.02.017 · Cited by 219
Dyrba, M., Grothe, M. J., Kirste, T., & Teipel, S. J. (2015) · Human Brain Mapping · doi:10.1002/hbm.22759 · Cited by 188
“…independent patterns of group differences using DTI data and tissue volume [Canu et al., 2010, 2011; Yoon et al., 2011], but also high correlation between MD and volume in medial temporal lobe areas such as the hippocampus [Canu et al., 2010, 2011; Cherubini et al., 2010; O’Dwyer et al., 2011].”
MethodAderghal, K., Khvostikov, A. V., Крылов, А., Benois‐Pineau, J., Afdel, K., & Catheline, G. (2018) · Proceedings - IEEE Symposium on Computer-Based Medical Systems · doi:10.1109/cbms.2018.00067 · Cited by 154
“The affine transformation between sMRI and MD was estimated using mutual information criterion [21], implemented with Statistical Parametric Mapping software (SPM8, Wellcome Trust Centre for Neuroimaging at UCL, London, UK)4”
MethodAutomatic morphometry in Alzheimer's disease and mild cognitive impairment
Heckemann, R. A., Shiva Keihaninejad, A., Aljabar, P., Gray, K. R., Nielsen, C. F., Rueckert, D., Hajnal, J. V., & Hammers, A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.03.014 · Cited by 140
Metadata
- Authors
- Cherubini, A., Péran, P., Spoletini, I., Di Paola, M., Di Iulio, F., Hagberg, G. E., Sancesario, G., Gianni, W., Bossù, P., Caltagirone, C., Sabatini, U., & Spalletta, G.
- Affiliations
- Fondazione Santa Lucia (IT)
- IRCCS Santa Lucia Foundation, Rome, Italy
- University of Rome Tor Vergata (IT)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- Corresponding author
- Spalletta, Gianfranco
- ORCID
- Venue
- Journal of Alzheimer s Disease
- Publisher
- SAGE Publications
- Published
- 2010-03-11
- Volume
- 19
- Issue
- 4
- Pages
- 1273-1282
- ISSN
- 1387-2877 (ISSN-L)
- 1875-8908
- OpenAlex
- W1666202957
- Semantic Scholar
- 5c44f8e52617fb5f84a38643587267c93f788b5d
- Cited by
- 123
- References
- 39
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 3 · 2023: 7 · 2022: 4 · 2021: 4 · 2020: 7 · 2019: 5 · 2018: 9 · 2017: 11 · 2016: 7 · 2015: 15 · 2014: 9 · 2013: 13 · 2012: 13
- FWCI
- 7.85
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Alzheimer s Disease (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Cineca Institutional Research Information System (Tor Vergata University) (submittedVersion)
- Funders
- Ministero della Salute
- 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 › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Keywords
- amnestic mild cognitive impairment, Alzheimer's disease
- MeSH terms
- Aged, Alzheimer Disease, Atrophy, Brain, Cognition Disorders, Female, Humans, Functional Laterality, Male, Neuropsychological Tests, Severity of Illness Index, Thalamus, 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