http://www.cnr.it/ontology/cnr/individuo/prodotto/ID295302

Brain metabolic maps in Mild Cognitive Impairment predict heterogeneity of progression to dementia (Articolo in rivista)

Type

Prodotto della ricerca (Classe)
Articolo in rivista (Classe)

Label

Brain metabolic maps in Mild Cognitive Impairment predict heterogeneity of progression to dementia (Articolo in rivista) (literal)

Anno

2014-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

10.1016/j.nicl.2014.12.004 (literal)

Alternative label

Cerami C.; Della Rosa P.A.; Magnani G.; Santangelo R.; Marcone A.; Cappa S.F.; Perani D. (2014)
Brain metabolic maps in Mild Cognitive Impairment predict heterogeneity of progression to dementia
in NeuroImage: Clinical
(literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

Cerami C.; Della Rosa P.A.; Magnani G.; Santangelo R.; Marcone A.; Cappa S.F.; Perani D. (literal)

Pagina inizio

187 (literal)

Pagina fine

194 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

http://www.scopus.com/inward/record.url?eid=2-s2.0-84919708754&partnerID=q2rCbXpz (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

7 (literal)

Rivista

NeuroImage: Clinical (Rivista)

Note

Scopu (literal)
PubMe (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

Universit Vita-Salute San Raffaele, Via Olgettina 60, Milan, 20134, Italy; Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy; Clinical Neuroscience Department, Neurorehabilitation Unit, San Raffaele Hospital, Milan, Italy; Istituto di Bioimmagini e Fisiologia Molecolare C.N.R., Segrate, Italy; Department of Neurology, San Raffaele Hospital, Milan, Italy; Istituto Universitario Degli Studi Superiori, Pavia, Italy; Nuclear Medicine Unit, San Raffaele Hospital, Milan, Italy (literal)

Titolo

Brain metabolic maps in Mild Cognitive Impairment predict heterogeneity of progression to dementia (literal)

Abstract

[(18)F]FDG-PET imaging has been recognized as a crucial diagnostic marker in Mild Cognitive Impairment (MCI), supporting the presence or the exclusion of Alzheimer's Disease (AD) pathology. A clinical heterogeneity, however, underlies MCI definition. In this study, we aimed to evaluate the predictive role of single-subject voxel-based maps of [(18)F]FDG distribution generated through statistical parametric mapping (SPM) in the progression to different dementia subtypes in a sample of 45 MCI. Their scans were compared to a large normal reference dataset developed and validated for comparison at single-subject level. Additionally, A?42 and Tau CSF values were available in 34 MCI subjects. Clinical follow-up (mean 28.5 ± 7.8 months) assessed subsequent progression to AD or non-AD dementias. The SPM analysis showed: 1) normal brain metabolism in 14 MCI cases, none of them progressing to dementia; 2) the typical temporo-parietal pattern suggestive for prodromal AD in 15 cases, 11 of them progressing to AD; 3) brain hypometabolism suggestive of frontotemporal lobar degeneration (FTLD) subtypes in 7 and dementia with Lewy bodies (DLB) in 2 subjects (all fulfilled FTLD or DLB clinical criteria at follow-up); and 4) 7 MCI cases showed a selective unilateral or bilateral temporo-medial hypometabolism without the typical AD pattern, and they all remained stable. In our sample, objective voxel-based analysis of [(18)F]FDG-PET scans showed high predictive prognostic value, by identifying either normal brain metabolism or hypometabolic patterns suggestive of different underlying pathologies, as confirmed by progression at follow-up. These data support the potential usefulness of this SPM [(18)F]FDG PET analysis in the early dementia diagnosis and for improving subject selection in clinical trials based on MCI definition. (literal)

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