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.
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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 Cherubini et al., 2010
Most studies using diffusion tensor imaging data of healthy older and Alzheimer's disease participants did not consider partial volume effects at all.
“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
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 Cherubini et al., 2010
Left and right hippocampi and the posterior cingulate cortex were chosen as regions of interest following the literature on peak differences in regional mean diffusivity and volumes in Alzheimer's disease.
“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
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 Cherubini et al., 2010
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Yrondi, A., Péran, P., Sauvaget, A., Schmitt, L., & Arbus, C. (2016) · Acta Neuropsychiatrica · doi:10.1017/neu.2016.62 · Cited by 45 · see citing works
“Previous MRI studies investigating physiological aging (85), neurodegenerative diseases (82,86,87), or psychiatric diseases (88) showed the complementary aspect of atropy markers and MD parameter.”
BackgroundTu, M.-C., Lo, C., Huang, C.-F., Hsu, Y., Huang, W., Deng, J. F., & Lee, Y. (2017) · PLoS ONE · doi:10.1371/journal.pone.0175143 · Cited by 46 · see citing works
Alterations in Diffusion Measures of White Matter Integrity Associated with Healthy Aging
Molloy, C. J., Nugent, S., & Bokde, A. L. W. (2019) · The Journals of Gerontology Series A · doi:10.1093/gerona/glz289 · Cited by 42 · see citing works
Going round in circles—The Papez circuit in Alzheimer's disease
Forno, G., Lladó, A., & Hornberger, M. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.15494 · Cited by 43 · see citing works
“degeneration, changes on the hippocampal body white matter are also early noted (Cherubini et al., 2010; Hong et al., 2013), resulting in increasing cognitive impairment in severer stages of the disease (Desgranges et al.”
BackgroundCherubini, A., Nisticò, R., Novellino, F., Salsone, M., Nigro, S. L., Donzuso, G., & Quattrone, A. (2014) · Movement Disorders · doi:10.1002/mds.25869 · Cited by 42 · see citing works
“Several works have highlighted the finding that multimodal MRI is better at capturing the chain of structural alterations acting simultaneously on brain tissue at the macroscopic and microscopic levels.(29,30) Indeed, this might be the reason why the best accuracy was observed only when all predictors were used by the…”
BackgroundHippocampal multimodal structural changes and subclinical depression in healthy individuals
Spalletta, G., Piras, F., Caltagirone, C., & Fagioli, S. (2013) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.05.068 · Cited by 42 · see citing works
Billeci, L., Badolato, A., Bachi, L., & Tonacci, A. (2020) · Processes · doi:10.3390/pr8091071 · Cited by 38 · see citing works
“Moreover, the literature suggests that WM integrity alterations detected by DTI could be complementary to volumetric alterations [22].”
BackgroundChen, J., Zhang, Z., & Li, S. (2015) · Neuroscience Bulletin · doi:10.1007/s12264-014-1490-8 · Cited by 43 · see citing works
“Lee and colleagues have demonstrated that aMCI patients show reduced FA in the fornix, which is associated with decreased anterior CA1 and antero-medial subiculum thickness([40]).”
BackgroundMethodChiapponi, C., Piras, F., Piras, F., Fagioli, S., Caltagirone, C., & Spalletta, G. (2013) · PLoS ONE · doi:10.1371/journal.pone.0075115 · Cited by 39 · see citing works
DTI and Structural MRI Classification in Alzheimer’s Disease
Mesrob, L., Sarazin, M., Hahn‐Barma, V., et al. (2012) · Advances in Molecular Imaging · doi:10.4236/ami.2012.22003 · Cited by 40 · see citing works
“DTI measures (MD and FA) have been associated to different characteristics extracted from structural MRI as shape [16] and volume [9,12,17-19] of anatomical structures or cortical thickness [8,10,20,21].”
BackgroundMethodDefrancesco, M., Egger, K. E., Marksteiner, J., Esterhammer, R., Hinterhuber, H., Deisenhammer, E., & Schocke, M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0106062 · Cited by 37 · see citing works
“Other prior studies using DWI compared the ADC of MCI patients and healthy controls and found higher ADC values in the hippocampus, corpus callosum and temporal lobe in MCI patients [30,31].”
MethodResultDiffusion tensor imaging of the hippocampus predicts the risk of dementia; the RUN DMC study
van Uden, I. W. M., Tuladhar, A. M., van der Holst, H. M., van Leijsen, E. M. C., van Norden, A. G. W., de Laat, K. F., Rutten‐Jacobs, L. C. A., Norris, D. G., Claassen, J. A. H. R., van Dijk, E. J., et al. (2015) · Human Brain Mapping · doi:10.1002/hbm.23029 · Cited by 36 · see citing works
“A recent meta-analysis comparing DTI parameters and volume measures in MCI and AD, indi- cated that MD values had more discriminative power than FA values [Clerx et al., 2012], which is in line with our findings.”
ResultInfluentialObesity influences white matter integrity in schizophrenia
Spangaro, M., Mazza, E. B., Poletti, S., Cavallaro, R., & Benedetti, F. (2018) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2018.07.017 · Cited by 36 · see citing works
“and/or integrity of the fibers (Cherubini et al., 2010), and FA and AD positively correlate with development of working memory capacity, reading ability, information processing speed and motor speed (Vernooij et al.”
Graewe, B., Lemos, R., Ferreira, C., Santana, I. J., Farivar, R., Weerd, P. D., & Castelo-Branco, M. S. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs246 · Cited by 36 · see citing works
Pedro, T., Weiler, M., Yasuda, C. L., D’Abreu, A., Damasceno, B. P., Cendes, F., & Balthazar, M. L. F. (2012) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000342118 · Cited by 35 · see citing works
Multimodal magnetic resonance imaging in Alzheimer's disease patients at prodromal stage
Eustache, P., Nemmi, F., Saint-Aubert, L., Pariente, J., & Péran, P. (2016) · Journal of Alzheimer’s Disease · doi:10.3233/jad-150353 · Cited by 35 · see citing works
“[18] but only for AD patients against controls.”
BackgroundMethodResultInfluentialSubcortical grey matter changes in juvenile myoclonic epilepsy
Kim, J. H., Kim, J. B., Suh, S., & Kim, D. W. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.11.001 · Cited by 35 · see citing works
“…as demonstrated in healthy elderly individuals (Carlesimo et al., 2010) and in patients with neurodegenerative diseases (Carlesimo et al., 2012; Cherubini et al., 2010), future study using combined DTI and a comprehensive cognitive assessment should elucidate relationships between…”
Pagnozzi, A. M., Fripp, J., & Rose, S. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116018 · Cited by 35 · see citing works
Relationship between postural instability and subcortical volume loss in Alzheimer's disease
Lee, Y.-W., Lee, H., Chung, I., et al. (2017) · Medicine · doi:10.1097/md.0000000000007286 · Cited by 32 · see citing works
“From the increasing evidences that cognitive dysfunction could be related to subcortical structures in AD([14,38]) and postural instability,([34,35,37]) we hypothesized the role of subcortical gray matter on postural instability via connection to the cortex or hippocampus, especially in AD.”
BackgroundSolodkin, A., Chen, E. E., Hoesen, G. W. V., Heimer, L., Shereen, A. D., Kruggel, F., & Mastrianni, J. A. (2013) · The Journal of Comparative Neurology · doi:10.1002/cne.23418 · Cited by 28 · see citing works
“…et al., 2004; Muller et al., 2005) or in combination with hippocampal atrophy (Arenaza-Urquijo et al., 2010; Bosch et al., 2010; Chen et al., 2009; Cherubini et al., 2010; Damoiseaux et al., 2009; Fellgiebel et al., 2006; Liu et al., 2009; Muller et al., 2005; Sexton et al., 2010; Stenset et al.,…”
BackgroundTan, K., Meiri, A., Mowrey, W. B., Abbott, R., Goodrich, J. T., Sandler, A. L., Suri, A. K., Lipton, M. L., & Wagshul, M. E. (2018) · Journal of neurosurgery · doi:10.3171/2017.6.jns162784 · Cited by 32 · see citing works
Zhou, Y. F., Qun-Xu, Qin, L.-D., Qian, L., Cao, W.-W., & Xu, J. (2010) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2010.09.007 · Cited by 30 · see citing works
Individual differences in white matter microstructure predict semantic control
Nugiel, T., Alm, K. H., & Olson, I. R. (2016) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-016-0448-x · Cited by 29 · see citing works
“It is common to see significant findings reported in some but not all white matter indices (e.g., Alm et al., 2015; Cherubini et al., 2010; Mcdonald, Ahmadi, Tecoma, Dale, & Halgren, 2008; Tavor et al., 2014).”
BackgroundToward a better understanding of the savant brain
Corrigan, N. M., Richards, T. L., Treffert, D. A., et al. (2011) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2011.11.006 · Cited by 28 · see citing works
“The fractional anisotropy and diffusivity values of the corpus callosum, occipital lobes, frontal lobes, and caudate for the comparison subjects were similar to or, in some cases, slightly higher than those reported for healthy adult controls from other studies [13,55-58], although direct comparisons across studies ar…”
ResultRahim, N., El–Sappagh, S., Rizk, H., et al. (2024) · Applied Soft Computing · doi:10.1016/j.asoc.2024.111749 · Cited by 27 · see citing works
Alderson, T. H., Kehoe, E. G., Maguire, L., Farrell, D., LAWLOR, B. A., Kenny, R. A., Lyons, D., Bokde, A. L. W., & Coyle, D. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00370 · Cited by 26 · see citing works
“…burden (Knight et al., 2011a,b) and substantial evidence suggesting that thalamic atrophy is present in MCI prior to AD (Chételat et al., 2005; Shiino et al., 2006; de Jong et al., 2008; Ferrarini et al., 2008; Cherubini et al., 2010; Roh et al., 2011; Pedro et al., 2012; Zhang et al., 2013).”
BackgroundZanto, T. P., Pa, J., & Gazzaley, A. H. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.063 · Cited by 25 · see citing works
“We hypothesized that the frontal lobe, medial temporal lobe, and subcortical structures would exhibit lower reliability measures, given the known susceptibility to atrophy and functional decline in aging and aMCI, when compared to less affected structures (Cherubini et al., 2010; De Vogelaere et al., 2012; Ferreira et…”
InfluentialFu, J., Liu, Y., Li, Y., Chang, C., & Li, W. (2013) · Journal of Neuroimaging · doi:10.1111/jon.12061 · Cited by 25 · see citing works
“Inclusion criteria for the NCs were (1) ability to function independently, with normal neurologic examination findings; (2) MMSE score ≥28; (3) MoCA score ≥25; and (4) a CDR score of 0.”
BackgroundMethodAribisala, B. S., Royle, N. A., Maniega, S. M., Hernández, M. C. V., Murray, C. L., Penke, L., Gow, A. J., Starr, J. M., Bastin, M. E., Deary, I. J., et al. (2014) · Cortex · doi:10.1016/j.cortex.2013.12.012 · Cited by 24 · see citing works
Kehoe, E. G., Farrell, D., Metzler‐Baddeley, C., LAWLOR, B. A., Kenny, R. A., Lyons, D., McNulty, J. P., Mullins, P. G., Coyle, D., & Bokde, A. L. W. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00010 · Cited by 23 · see citing works
“Several volumetric studies have found that the thalamus does undergo neurodegeneration in aMCI and AD (Chetelat et al., 2005; Shiino et al., 2006; de Jong et al., 2008; Cherubini et al., 2010; Roh et al., 2011; Zhang et al., 2013), and in a study that combined shape analysis of the thalamus and diffusion tensor imagin…”
BackgroundResultMoretti, D. V., Paternicò, D., Binetti, G. G., Zanetti, O. O., & Frisoni, G. B. (2012) · ASN NEURO · doi:10.1042/an20120058 · Cited by 23 · see citing works
“In particular, atrophy of thalamus and basal ganglia has been demonstrated to be involved in AD (Canu et al., 2010; Cherubini et al., 2010).”
BackgroundResultLei, B., Cheng, N., Frangi, A. F., Wei, Y., Yu, B., Liang, L., Mai, W., Duan, G., Nong, X., Li, C., et al. (2021) · Medical Image Analysis · doi:10.1016/j.media.2021.102248 · Cited by 23 · see citing works
Li, W.-B., Zhang, Y.-Z., Chang, C., Wei, X., & Fu, J. (2011) · Neurology India · doi:10.4103/0028-3886.79129 · Cited by 22 · see citing works
Kim, J., & Lee, J. (2012) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2012.11.009 · Cited by 23 · see citing works
“Furthermore, as we also presented reduced volumes in the middle/posterior corpus callosum, structural connectivity determined by the DTI modality [43,49] may provide valuable supporting evidence as to whether the affected regions are also compromised structurally with abnormal neuronal fiber tractography [50].”
BackgroundVolumetric and Shape Analysis of the Thalamus and Striatum in Amnestic Mild Cognitive Impairment
Leh, S. E., Kälin, A. M., Schroeder, C., Park, M. T. M., Chakravarty, M. M., Freund, P., Gietl, A. F., Riese, F., Kollias, S., Höck, C., et al. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150080 · Cited by 22 · see citing works
“Changes in both hippocampal microstructure and volume have also been reported in patients with amnestic (aMCI) and mild AD [22].”
Wang, J., Lv, P., Wang, H., Li, Z., Li, N., Sun, Z., Zhao, B., & Huang, Y. M. (2013) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2012.09.025 · Cited by 22 · see citing works
Subcortical nuclei in Alzheimer’s disease: a volumetric and diffusion kurtosis imaging study
Wang, M.-L., Wei, X., Fu, J., et al. (2018) · Acta Radiologica · doi:10.1177/0284185118758122 · Cited by 22 · see citing works
Cognitive state following mild stroke: A matter of hippocampal mean diffusivity
Kliper, E., Assayag, E. B., Korczyn, A. D., Auriel, E., Shopin, L., Hallevi, H., Shenhar‐Tsarfaty, S., Mike, A., Artzi, M., Klovatch, I., et al. (2015) · Hippocampus · doi:10.1002/hipo.22500 · Cited by 22 · see citing works
“While some studies are in agreement with the mutual correlations result (Kantarci et al., 2005; Cherubini et al., 2010), others (Muller et al.”
ResultQuantitative MRI markers in Parkinson's disease and parkinsonian syndromes
Arribarat, G., & Péran, P. (2020) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000796 · Cited by 21 · see citing works
Genetic and Environmental Influences on Mean Diffusivity and Volume in Subcortical Brain Regions
Gillespie, N., Neale, M., Hagler, D., Eyler, L., Fennema-Notestine, C., Franz, C., Lyons, M., McEvoy, L., Dale, A., Panizzon, M., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23544 · Cited by 21 · see citing works
“A number of studies have examined variation in hippocampus MD in studies of memory [den Heijer et al., 2012; Piras et al., 2010], MCI, and AD [Cherubini et al., 2010; Fellgiebel et al., 2006; Kantarci et al., 2005; Li et al., 2013b].”
BackgroundInfluentialHashempour, N., Tuulari, J. J., Merisaari, H., Acosta, H., Lewis, J. D., Pelto, J., Scheinin, N. M., Fonov, V. S., Collins, D. L., Lehtola, S. J., et al. (2023) · European Journal of Neuroscience · doi:10.1111/ejn.15989 · Cited by 20 · see citing works
“…have been associated with a reduction in neuron size and synapse loss, along with alterations in the cytoarchitecture that lead to neurofibrillary changes and an increase in the extracellular space (Cherubini et al., 2010; De Gennaro et al., 2011; Gillespie et al., 2017; Kantarci et al., 2005).”
BackgroundHippocampal volume asymmetry in Alzheimer disease: A systematic review and meta-analysis
Pusparani, Y., Lin, C., Jan, Y., Lin, F., Liau, B.-Y., Alex, J. S. R., Aparajeeta, J., Chao, W.-H., & Lung, C.-W. (2025) · Medicine · doi:10.1097/md.0000000000041662 · Cited by 18 · see citing works
“[5,18,20,21,36,46–54] In the AD class, 4 studies used manual segmentation to obtain the left and right hippocampal volumes.”
Construction and Validation of Brain MRI Templates from a Korean Normal Elderly Population
Lee, H., Yoo, B. I., Han, J. W., Lee, J. J., Oh, S. Y. W., Lee, E. Y., Kim, J. H., & Kim, K. W. (2016) · Psychiatry Investigation · doi:10.4306/pi.2016.13.1.135 · Cited by 18 · see citing works
Uchida, Y., Onda, K., Nishimaki, K., Kucharska‐Newton, A., Windham, B. G., Wasserman, B. A., & Oishi, K. (2025) · Neurology · doi:10.1212/wnl.0000000000213867 · Cited by 17 · see citing works
On the role of the amygdala for experiencing fatigue in patients with multiple sclerosis
Hanken, K., Francis, Y., Kastrup, A., Eling, P., Klein, J., & Hildebrandt, H. (2017) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2017.12.014 · Cited by 16 · see citing works
Chen, F., Wu, T., Luo, Y., Li, Z., Guan, Q., Meng, X., Tao, W., & Zhang, H. (2019) · PLoS ONE · doi:10.1371/journal.pone.0226175 · Cited by 16 · see citing works
APOE-ε4-related differences in left thalamic microstructure in cognitively healthy adults
Mole, J. P., Fasano, F., Evans, J., Sims, R., Kidd, E., Aggleton, J. P., & Metzler-Baddeley, C. (2020) · Scientific Reports · doi:10.1038/s41598-020-75992-9 · Cited by 15 · see citing works
Harı, E., Kurt, E., Ulaşoğlu-Yıldız, Ç., Bayram, A., Bılgıç, B., Demıralp, T., & Gurvit, H. I. (2023) · Brain Structure and Function · doi:10.1007/s00429-023-02683-2 · Cited by 15 · see citing works
Amygdala in Alzheimer's Disease
Knafo, S. (2012) · InTech eBooks · doi:10.5772/52804 · Cited by 14 · see citing works
“These studies have consistently demonstrated a decrease in amygdaloid volume in AD patients when compared to healthy controls (Horinek et al., 2007; Beacher et al., 2009; Cherubini et al., 2010; Lehmann et al., 2010; Vasconcelos Lde et al., 2011).”
Hippocampal diffusion tensor imaging microstructural changes in vascular dementia
Ostojic, J. N., Kozic, D. B., Pavlovic, A. M., Semnic, M. D., Todorović, A., Petrović, K., & Čovičković‐Šternić, N. (2015) · Acta Neurologica Belgica · doi:10.1007/s13760-014-0419-3 · Cited by 13 · see citing works
Moretti, D. V. (2013) · Journal of Neurology & Neurophysiology · doi:10.4172/2155-9562.1000149 · Cited by 12 · see citing works
“These results show some difference with previous studies on AD patients, showing basal ganglia involvement ([34-37]) in that these reported a greater atrophy of basal ganglia.”
ResultAge-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).”
BackgroundThe right hemisphere’s capacity for language: evidence from primary progressive aphasia
Neophytou, K., Wiley, R. W., Litovsky, C. P., Tsapkini, K., & Rapp, B. C. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad258 · Cited by 11 · see citing works
Wang, Q., Guo, L., Thompson, P. M., Jack, C. R., Dodge, H. H., Zhan, L., & Zhou, J. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-171048 · Cited by 10 · see citing works
“The combination of different MRI modalities has been successfully applied for prognosis of some diseases [21-27], including MCI [28-31] [32-34].”
Gan, C., O'Sullivan, M. J., Metzler‐Baddeley, C., & Halpin, S. F. S. (2017) · Clinical Radiology · doi:10.1016/j.crad.2017.04.021 · Cited by 9 · see citing works
Early Detection of Alzheimer’s Disease in Postmenopausal Women Using Thalamic Subnuclear Volumetry
Kim, G.-W., Park, K., & Jeong, G.-W. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12216844 · Cited by 7 · see citing works
“Thalamic atrophy has been specifically implicated in cognitive deficits in AD [55].”
BackgroundCargnelutti, E., Maieron, M., Ius, T., Škrap, M., & Tomasino, B. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.563259 · Cited by 5 · see citing works
Segobin, S. H., Ambler, M., Lanièpce, A., Platel, H., Chételat, G., Groussard, M., & Pitel, A. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12093147 · Cited by 5 · see citing works
“In agreement with previous studies conducted in AD [9,27,28], we also found thalamic shrinkage in both MAD and SAD patients.”
ResultHauser, T., Thomann, P. A., Stieltjes, B., & Essig, M. (2011) · Der Radiologe · doi:10.1007/s00117-010-2094-6 · Cited by 5 · see citing works
Courtney, M., Carey, D., Murphy, S., Knight, S. P., Meaney, J. F., Kenny, R. A., & Looze, C. D. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1520069 · Cited by 5 · see citing works
Diffusion Tensor Imaging retrieval for Alzheimer's disease diagnosis
Ahmed, O. B., Benois‐Pineau, J., Michèle Allard, A., et al. (2014) · International Workshop on Content-Based Multimedia Indexing (CBMI) · doi:10.1109/cbmi.2014.6849831 · Cited by 4 · see citing works
“We follow here [17] [16] where coregistation was used to extract regional values of DTI parameters in some specific areas.”
BackgroundMethodDiffusion tensor magnetic resonance imaging strategies for color mapping of human brain anatomy
Boujraf, S. (2018) · Journal of Medical Signals & Sensors · doi:10.4103/2228-7477.232082 · Cited by 3 · see citing works
Corpus Callosum and Word Reading in Adult Survivors of Childhood Posterior Fossa Tumors
Smith, K. (2022) · Digital Archive @ GSU · doi:10.57709/8683595 · Cited by 3 · see citing works
Jiménez‐Huete, A., & Estévez-Santé, S. (2017) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2017.04.046 · Cited by 3 · see citing works
Diffusion Tensor Imaging Analysis of Subcortical Gray Matter in Patients with Alcohol Dependence
Kim, Y., Shim, J., Kim, S., et al. (2020) · Applied Magnetic Resonance · doi:10.1007/s00723-020-01272-4 · Cited by 3 · see citing works
Reaume, N., Reid, M., Tadros, G. S., Chacinski, D., Denroche, B., Aftab, A., Wu, P., Sah, R. G., Wang, M., Smith, E. E., et al. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1277765 · Cited by 2 · see citing works
- 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
- Health Sciences › Medicine › Physiology › 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
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