Author(s): Cherubini A, Péran P, Spoletini I, Di Paola M, Di Iulio F, et al.
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.
Referred From: https://www.ncbi.nlm.nih.gov/pubmed/20308792
Author(s): Stam CJ, van der Made Y, Pijnenburg YA, Scheltens P
Author(s): Rossini PM, Buscema M, Capriotti M, Grossi E, Rodriguez G, et al.
Author(s): Moretti DV, Pievani M, Geroldi C, Binetti G, Zanetti O, et al.
Author(s): Rochat L, Delbeuck X, Billieux J, d'Acremont M, Van der Linden AC, et al.
Author(s): Rochat L, Billieux J, Juillerat Van der Linden AC, Annoni JM, Zekry D, et al.
Author(s): Basar K, Sesia T, Groenewegen H, Steinbusch HW, Visser-Vandewalle V, et al.
Author(s): McClure SM, Ericson KM, Laibson DI, Loewenstein G, Cohen JD
Author(s): Boettiger CA, Mitchell JM, Tavares VC, Robertson M, Joslyn G, et al.
Author(s): Weber BJ, Huettel SA
Author(s): Wittmann M, Leland DS, Churan J, Paulus MP
Author(s): Kuhnen CM, Knutson B
Author(s): Moretti DV, Paternicò D, Binetti G, Zanetti O, Frisoni GB
Author(s): Hughes CP, Berg L, Danziger WL, Coben LA, Martin RL
Author(s): Rosen WG, Terry RD, Fuld PA, Katzman R, Peck A
Author(s): Moretti DV, Babiloni F, Carducci F, Cincotti F, Remondini E, et al.
Author(s): Moretti DV, Babiloni C, Binetti G, Cassetta E, Dal Forno G, et al.
Author(s): Moretti DV, Frisoni GB, Pievani M, Rosini S, Geroldi C, et al.
Author(s): Moretti DV, Pievani M, Fracassi C, Geroldi C, Calabria M, et al.
Author(s): Moretti DV, Fracassi C, Pievani M, Geroldi C, Binetti G, et al.
Author(s): Moretti DV, Pievani M, Fracassi C, Binetti G, Rosini S, et al.
Author(s): Moretti DV, Frisoni GB, Fracassi C, Pievani M, Geroldi C, et al.
Author(s): Klimesch W
Author(s): Klimesch W
Author(s): Ashburner J
Author(s): de Jong LW, van der Hiele K, Veer IM, Houwing JJ, Westendorp RG, et al.
Author(s): Zarei M, Patenaude B, Damoiseaux J, Morgese C, Smith S, et al.
Author(s): Cabeza R, Daselaar SM, Dolcos F, Prince SE, Budde M, et al.