Literature DB >> 28755648

Cerebral PET glucose hypometabolism in subjects with mild cognitive impairment and higher EEG high-alpha/low-alpha frequency power ratio.

Davide Vito Moretti1, Michela Pievani2, Lorenzo Pini3, Ugo Paolo Guerra4, Barbara Paghera5, Giovanni Battista Frisoni6.   

Abstract

In Alzheimer's disease (AD) research, both 2-deoxy-2-(18F)fluoro-D-glucose (FDG) positron emission tomography (PET) and electroencephalography (EEG) are reliable investigational modalities. The aim of this study was to investigate the associations between EEG High-alpha/Low-alpha (H-alpha/L-alpha) power ratio and cortical glucose metabolism. A total of 23 subjects with mild cognitive impairment (MCI) underwent FDG-PET and EEG examinations. H-alpha/L-alpha power ratio was computed for each subject and 2 groups were obtained based on the increase of the power ratio. The subjects with higher H-alpha/L-alpha power ratio showed a decrease in glucose metabolism in the hub brain areas previously identified as typically affected by AD pathology. In subjects with higher H-alpha/L-alpha ratio and lower metabolism, a "double alpha peak" was identified in the EEG spectrum and a U-shaped correlation between glucose metabolism and increase of H-alpha/L-alpha power ratio has been found. Moreover, in this group, a conversion rate of 62.5% at 24 months was detected, significantly different from the chance percentage expected. The neurophysiological meaning of the interplay between alpha oscillations and glucose metabolism and the possible interest of the H-alpha/L-alpha power ratio as a clinical biomarker in AD have been discussed.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alpha rhythm; CSF; EEG; MCI; MRI; PET

Mesh:

Substances:

Year:  2017        PMID: 28755648     DOI: 10.1016/j.neurobiolaging.2017.06.009

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  4 in total

1.  Radiomics Analysis of Brain [18F]FDG PET/CT to Predict Alzheimer's Disease in Patients with Amyloid PET Positivity: A Preliminary Report on the Application of SPM Cortical Segmentation, Pyradiomics and Machine-Learning Analysis.

Authors:  Pierpaolo Alongi; Riccardo Laudicella; Francesco Panasiti; Alessandro Stefano; Albert Comelli; Paolo Giaccone; Annachiara Arnone; Fabio Minutoli; Natale Quartuccio; Chiara Cupidi; Gaspare Arnone; Tommaso Piccoli; Luigi Maria Edoardo Grimaldi; Sergio Baldari; Giorgio Russo
Journal:  Diagnostics (Basel)       Date:  2022-04-08

2.  Comparison of EEG microstates with resting state fMRI and FDG-PET measures in the default mode network via simultaneously recorded trimodal (PET/MR/EEG) data.

Authors:  Ravichandran Rajkumar; Ezequiel Farrher; Jörg Mauler; Praveen Sripad; Cláudia Régio Brambilla; Elena Rota Kops; Jürgen Scheins; Jürgen Dammers; Christoph Lerche; Karl-Josef Langen; Hans Herzog; Bharat Biswal; N Jon Shah; Irene Neuner
Journal:  Hum Brain Mapp       Date:  2018-10-27       Impact factor: 5.038

3.  Progression in Vascular Cognitive Impairment: Pathogenesis, Neuroimaging Evaluation, and Treatment.

Authors:  Xin Zhang; Jiabin Su; Chao Gao; Wei Ni; Xinjie Gao; Yuxin Li; Jun Zhang; Yu Lei; Yuxiang Gu
Journal:  Cell Transplant       Date:  2018-11-29       Impact factor: 4.139

4.  Long-Term Neurophysiological Outcomes in Patients Undergoing Coronary Artery Bypass Grafting.

Authors:  Irina V Tarasova; Olga A Trubnikova; Irina D Syrova; Olga L Barbarash
Journal:  Braz J Cardiovasc Surg       Date:  2021-10-17
  4 in total

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