Document Detail

Default network is not hypoactive in dementia with fluctuating cognition: an Alzheimer disease/dementia with Lewy bodies comparison.
MedLine Citation:
PMID:  23063646     Owner:  NLM     Status:  Publisher    
Default mode network resting state activity in posterior cingulate cortex is abnormally reduced in Alzheimer disease (AD) patients. Fluctuating cognition and electroencephalogram abnormalities are established core and supportive elements respectively for the diagnosis of dementia with Lewy bodies (DLB). Our aim was to assess whether patients with DLB with both of these features have different default mode network patterns during resting state functional magnetic resonance imaging compared with AD. Eighteen patients with DLB, 18 AD patients without fluctuating cognition, and 15 control subjects were selected after appropriate matching and followed for 2-5 years to confirm diagnosis. Independent component analysis with functional connectivity (FC) and Granger causality approaches were applied to isolate and characterize resting state networks. FC was reduced in AD and DLB patients compared with control subjects. Posterior cingulate cortex activity was lower in AD than in control subjects and DLB patients (p < 0.05). Right hemisphere FC was reduced in DLB patients in comparison with control subjects but not in patients with AD, and was correlated with severity of fluctuations (ρ = -0.69; p < 0.01). Causal flow analysis showed differences between patients with DLB and AD and control subjects.
Raffaella Franciotti; Nicola Walter Falasca; Laura Bonanni; Francesca Anzellotti; Valerio Maruotti; Silvia Comani; Astrid Thomas; Armando Tartaro; John-Paul Taylor; Marco Onofrj
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-10-11
Journal Detail:
Title:  Neurobiology of aging     Volume:  -     ISSN:  1558-1497     ISO Abbreviation:  Neurobiol. Aging     Publication Date:  2012 Oct 
Date Detail:
Created Date:  2012-10-15     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8100437     Medline TA:  Neurobiol Aging     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012 Elsevier Inc. All rights reserved.
Department of Neuroscience and Imaging, "G. d'Annunzio" University, Chieti, Italy; Aging Research Centre, Ce.S.I., "G. d'Annunzio" University Foundation, Chieti, Italy; ITAB, "G. d'Annunzio" University Foundation, Chieti, Italy.
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