Literature DB >> 18805495

Hippocampal volume and cortical sources of EEG alpha rhythms in mild cognitive impairment and Alzheimer disease.

Claudio Babiloni1, Giovanni B Frisoni, Michela Pievani, Fabrizio Vecchio, Roberta Lizio, Maura Buttiglione, Cristina Geroldi, Claudia Fracassi, Fabrizio Eusebi, Raffaele Ferri, Paolo M Rossini.   

Abstract

Atrophy of hippocampus and alteration of resting eyes-closed electroencephalographic (EEG) rhythms represent important features of mild cognitive impairment (MCI) and Alzheimer's disease (AD). Here we evaluated linear and non-linear aspects of the relationship between these features in the continuum along MCI and AD conditions, as a reflection of neurodegenerative processes. Eyes-closed resting EEG data were recorded in 60 healthy elderly (Nold), 88 MCI, and 35 Alzheimer's disease (AD) patients. Hippocampal volume was measured in magnetic resonance imaging of the MCI and AD subjects. Based on the normalized hippocampal volume, selected MCI subjects could be divided into two demographically paired sub-groups: those with larger hippocampal volume (MCI +h; N=40; mini mental state evaluation - MMSE - score=27.5+/-0.26 SE) and those with smaller hippocampal volume (MCI -h; N=40; h; MMSE=26.5+/-0.34 SE); the normalized hippocampal volume was statistically greater in the MCI +h than in the MCI -h and AD subjects (p<0.0001). EEG rhythms of interest were delta (2-4 Hz), theta (4-8 Hz), alpha 1 (8-10.5 Hz), alpha 2 (10.5-13 Hz), beta 1 (13-20 Hz), and beta 2 (20-30 Hz). Cortical EEG generators were estimated by LORETA software. Results showed that the power of occipital, parietal, and temporal alpha 1 sources was maximum in MCI +h, intermediate in MCI -h, and low in AD patients. Furthermore, the power of these sources was linearly and non-linearly correlated with the normalized hippocampal volume. These 3 EEG sources were given as input for evaluating correlations (linear, exponential, logarithmic and power) with hippocampal volume. When subjects were considered as a unique group, there was a significant linear correlation of hippocampal volume with the magnitude of alpha 1 sources in the parietal, occipital and temporal areas. In general, the EEG sources showing significant linear correlation with hippocampal volume also supported a non-linear correlation with hippocampal volume strongly for the logarithmic one. The present results suggest that progressive atrophy of hippocampus correlates with decreased cortical alpha power, as estimated by using LORETA source modeling, in the continuum along MCI and AD conditions.

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Year:  2008        PMID: 18805495     DOI: 10.1016/j.neuroimage.2008.08.005

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  31 in total

1.  Occipital sources of resting-state alpha rhythms are related to local gray matter density in subjects with amnesic mild cognitive impairment and Alzheimer's disease.

Authors:  Claudio Babiloni; Claudio Del Percio; Marina Boccardi; Roberta Lizio; Susanna Lopez; Filippo Carducci; Nicola Marzano; Andrea Soricelli; Raffaele Ferri; Antonio Ivano Triggiani; Annapaola Prestia; Serenella Salinari; Paul E Rasser; Erol Basar; Francesco Famà; Flavio Nobili; Görsev Yener; Derya Durusu Emek-Savaş; Loreto Gesualdo; Ciro Mundi; Paul M Thompson; Paolo M Rossini; Giovanni B Frisoni
Journal:  Neurobiol Aging       Date:  2014-09-21       Impact factor: 4.673

2.  Study on non-linear bistable dynamics model based EEG signal discrimination analysis method.

Authors:  Xiaoguo Ying; Han Lin; Guohua Hui
Journal:  Bioengineered       Date:  2015-07-15       Impact factor: 3.269

3.  An EEG-Based Fuzzy Probability Model for Early Diagnosis of Alzheimer's Disease.

Authors:  Hsiu-Sen Chiang; Shun-Chi Pao
Journal:  J Med Syst       Date:  2016-04-08       Impact factor: 4.460

4.  microRNAs in CNS disorders.

Authors:  Jannet Kocerha; Sakari Kauppinen; Claes Wahlestedt
Journal:  Neuromolecular Med       Date:  2009-06-18       Impact factor: 3.843

5.  Resting state cortical electroencephalographic rhythms are related to gray matter volume in subjects with mild cognitive impairment and Alzheimer's disease.

Authors:  Claudio Babiloni; Filippo Carducci; Roberta Lizio; Fabrizio Vecchio; Annalisa Baglieri; Silvia Bernardini; Enrica Cavedo; Alessandro Bozzao; Carla Buttinelli; Fabrizio Esposito; Franco Giubilei; Antonio Guizzaro; Silvia Marino; Patrizia Montella; Carlo C Quattrocchi; Alberto Redolfi; Andrea Soricelli; Gioacchino Tedeschi; Raffaele Ferri; Giancarlo Rossi-Fedele; Francesca Ursini; Federica Scrascia; Fabrizio Vernieri; Torleif Jan Pedersen; Hans-Goran Hardemark; Paolo M Rossini; Giovanni B Frisoni
Journal:  Hum Brain Mapp       Date:  2012-02-14       Impact factor: 5.038

6.  MEG spectral analysis in subtypes of mild cognitive impairment.

Authors:  M E López; P Cuesta; P Garcés; P N Castellanos; S Aurtenetxe; R Bajo; A Marcos; M L Delgado; P Montejo; J L López-Pantoja; F Maestú; A Fernandez
Journal:  Age (Dordr)       Date:  2014-02-16

7.  EEG spectral power abnormalities and their relationship with cognitive dysfunction in patients with Alzheimer's disease and type 2 diabetes.

Authors:  Christopher S Y Benwell; Paula Davila-Pérez; Peter J Fried; Richard N Jones; Thomas G Travison; Emiliano Santarnecchi; Alvaro Pascual-Leone; Mouhsin M Shafi
Journal:  Neurobiol Aging       Date:  2019-10-14       Impact factor: 4.673

8.  Amyloid Beta Peptide slows down sensory-induced hippocampal oscillations.

Authors:  Fernando Peña-Ortega; Ramón Bernal-Pedraza
Journal:  Int J Pept       Date:  2012-04-29

9.  Decoupling of Global Brain Activity and Cerebrospinal Fluid Flow in Parkinson's Disease Cognitive Decline.

Authors:  Feng Han; Gregory L Brown; Yalin Zhu; Aaron E Belkin-Rosen; Mechelle M Lewis; Guangwei Du; Yameng Gu; Paul J Eslinger; Richard B Mailman; Xuemei Huang; Xiao Liu
Journal:  Mov Disord       Date:  2021-05-17       Impact factor: 9.698

Review 10.  Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: Recommendations of an expert panel.

Authors:  Claudio Babiloni; Xianghong Arakaki; Hamed Azami; Karim Bennys; Katarzyna Blinowska; Laura Bonanni; Ana Bujan; Maria C Carrillo; Andrzej Cichocki; Jaisalmer de Frutos-Lucas; Claudio Del Percio; Bruno Dubois; Rebecca Edelmayer; Gary Egan; Stephane Epelbaum; Javier Escudero; Alan Evans; Francesca Farina; Keith Fargo; Alberto Fernández; Raffaele Ferri; Giovanni Frisoni; Harald Hampel; Michael G Harrington; Vesna Jelic; Jaeseung Jeong; Yang Jiang; Maciej Kaminski; Voyko Kavcic; Kerry Kilborn; Sanjeev Kumar; Alice Lam; Lew Lim; Roberta Lizio; David Lopez; Susanna Lopez; Brendan Lucey; Fernando Maestú; William J McGeown; Ian McKeith; Davide Vito Moretti; Flavio Nobili; Giuseppe Noce; John Olichney; Marco Onofrj; Ricardo Osorio; Mario Parra-Rodriguez; Tarek Rajji; Petra Ritter; Andrea Soricelli; Fabrizio Stocchi; Ioannis Tarnanas; John Paul Taylor; Stefan Teipel; Federico Tucci; Mitchell Valdes-Sosa; Pedro Valdes-Sosa; Marco Weiergräber; Gorsev Yener; Bahar Guntekin
Journal:  Alzheimers Dement       Date:  2021-04-15       Impact factor: 16.655

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