Literature DB >> 20858977

Unawareness of memory deficit in amnestic MCI: FDG-PET findings.

Flavio Nobili1, Debora Mazzei, Barbara Dessi, Silvia Morbelli, Andrea Brugnolo, Paola Barbieri, Nicola Girtler, Gianmario Sambuceti, Guido Rodriguez, Marco Pagani.   

Abstract

To unveil the brain metabolic correlates of (un)awareness of memory deficit in subjects with amnestic mild cognitive impairment (aMCI), forty-two outpatients underwent brain 18F-FDG-PET. Awareness of memory deficit was assessed with the Memory Complaint Questionnaire (MAC-Q), identifying two groups: low (MCI/unaware; 17 patients) and good (MCI/aware; 25 patients) aMCI awareness. Twenty-nine age-matched healthy subjects represented the control group. SPM2 was used to assess the correlation between brain metabolism and MAC-Q score, for comparisons between each patient group and controls, and between aMCI/unaware and aMCI/aware groups. The two aMCI groups were comparable in terms of age, gender, education, depression, and neuropsychological tests scores. In the whole 42-patient group, a positive correlation was found between MAC-Q score and metabolism in posterior cingulate cortex in both hemispheres and in inferior parietal lobule, middle cingulate cortex, precuneus and angular gyrus in the left hemisphere. Compared to controls, hypometabolism was found in aMCI/unaware in three large clusters, including precuneus, inferior parietal lobule and superior occipital gyrus, in the left hemisphere, and in inferior parietal lobule, angular gyrus and middle temporal gyrus in the right hemisphere. Smaller clusters of hypometabolism were found in bilateral temporal lobe in aMCI/aware. Hypometabolism in inferior parietal lobule, angular gyrus and superior temporal gyrus in the left hemisphere was highlighted in aMCI/unaware versus aMCI/aware. The significant correlation in all 42 aMCI patients points to posteromedial cortex as a key node of the network being involved in awareness of memory deficit. Patients with low awareness show a more severe hypometabolic pattern, typical of Alzheimer's disease and therefore could be more at risk of developing dementia.

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Year:  2010        PMID: 20858977     DOI: 10.3233/JAD-2010-100423

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  30 in total

Review 1.  Clinical utility of FDG-PET for the clinical diagnosis in MCI.

Authors:  Javier Arbizu; Cristina Festari; Daniele Altomare; Zuzana Walker; Femke Bouwman; Jasmine Rivolta; Stefania Orini; Henryk Barthel; Federica Agosta; Alexander Drzezga; Peter Nestor; Marina Boccardi; Giovanni Battista Frisoni; Flavio Nobili
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-04-27       Impact factor: 9.236

2.  Neuropsychological Correlates of Anosognosia for Objective Functional Difficulties in Older Adults on the Mild Cognitive Impairment Spectrum.

Authors:  Kayla A Steward; Tyler P Bull; Richard Kennedy; Michael Crowe; Virginia G Wadley
Journal:  Arch Clin Neuropsychol       Date:  2020-05-22       Impact factor: 2.813

3.  Deep sparse multi-task learning for feature selection in Alzheimer's disease diagnosis.

Authors:  Heung-Il Suk; Seong-Whan Lee; Dinggang Shen
Journal:  Brain Struct Funct       Date:  2015-05-21       Impact factor: 3.270

4.  Brain hypermetabolism in amyotrophic lateral sclerosis: a FDG PET study in ALS of spinal and bulbar onset.

Authors:  Angelina Cistaro; Maria Consuelo Valentini; Adriano Chiò; Flavio Nobili; Andrea Calvo; Cristina Moglia; Anna Montuschi; Silvia Morbelli; Dario Salmaso; Piercarlo Fania; Giovanna Carrara; Marco Pagani
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-11-17       Impact factor: 9.236

5.  Poor awareness of IADL deficits is associated with reduced regional brain volume in older adults with cognitive impairment.

Authors:  Kayla A Steward; Richard Kennedy; Guray Erus; Ilya M Nasrallah; Virginia G Wadley
Journal:  Neuropsychologia       Date:  2019-05-04       Impact factor: 3.139

6.  Latent feature representation with stacked auto-encoder for AD/MCI diagnosis.

Authors:  Heung-Il Suk; Seong-Whan Lee; Dinggang Shen
Journal:  Brain Struct Funct       Date:  2013-12-22       Impact factor: 3.270

7.  Hyper-connectivity of functional networks for brain disease diagnosis.

Authors:  Biao Jie; Chong-Yaw Wee; Dinggang Shen; Daoqiang Zhang
Journal:  Med Image Anal       Date:  2016-03-24       Impact factor: 8.545

8.  Metabolic spatial connectivity in amyotrophic lateral sclerosis as revealed by independent component analysis.

Authors:  Marco Pagani; Johanna Öberg; Fabrizio De Carli; Andrea Calvo; Cristina Moglia; Antonio Canosa; Flavio Nobili; Silvia Morbelli; Piercarlo Fania; Angelina Cistaro; Adriano Chiò
Journal:  Hum Brain Mapp       Date:  2015-12-24       Impact factor: 5.038

9.  Subjective memory complaint only relates to verbal episodic memory performance in mild cognitive impairment.

Authors:  Katherine A Gifford; Dandan Liu; Stephen M Damon; William G Chapman; Raymond R Romano Iii; Lauren R Samuels; Zengqi Lu; Angela L Jefferson
Journal:  J Alzheimers Dis       Date:  2015       Impact factor: 4.472

10.  Group-constrained sparse fMRI connectivity modeling for mild cognitive impairment identification.

Authors:  Chong-Yaw Wee; Pew-Thian Yap; Daoqiang Zhang; Lihong Wang; Dinggang Shen
Journal:  Brain Struct Funct       Date:  2013-03-07       Impact factor: 3.270

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