Literature DB >> 25355209

Alpha-band hypersynchronization in progressive mild cognitive impairment: a magnetoencephalography study.

María Eugenía López1, Ricardo Bruña2, Sara Aurtenetxe3, José Ángel Pineda-Pardo4, Alberto Marcos5, Juan Arrazola6, Ana Isabel Reinoso7, Pedro Montejo7, Ricardo Bajo8, Fernando Maestú3.   

Abstract

People with mild cognitive impairment (MCI) show a high risk to develop Alzheimer's disease (AD; Petersen et al., 2001). Nonetheless, there is a lack of studies about how functional connectivity patterns may distinguish between progressive (pMCI) and stable (sMCI) MCI patients. To examine whether there were differences in functional connectivity between groups, MEG eyes-closed recordings from 30 sMCI and 19 pMCI subjects were compared. The average conversion time of pMCI was 1 year, so they were considered as fast converters. To this end, functional connectivity in different frequency bands was assessed with phase locking value in source space. Then the significant differences between both groups were correlated with neuropsychological scores and entorhinal, parahippocampal, and hippocampal volumes. Both groups did not differ in age, gender, or educational level. pMCI patients obtained lower scores in episodic and semantic memory and also in executive functioning. At the structural level, there were no differences in hippocampal volume, although some were found in left entorhinal volume between both groups. Additionally, pMCI patients exhibit a higher synchronization in the alpha band between the right anterior cingulate and temporo-occipital regions than sMCI subjects. This hypersynchronization was inversely correlated with cognitive performance, both hippocampal volumes, and left entorhinal volume. The increase in phase synchronization between the right anterior cingulate and temporo-occipital areas may be predictive of conversion from MCI to AD.
Copyright © 2014 the authors 0270-6474/14/3414551-09$15.00/0.

Entities:  

Keywords:  MEG; alpha band; anterior cingulate; functional connectivity; mild cognitive impairment; phase locking value

Mesh:

Year:  2014        PMID: 25355209      PMCID: PMC6608420          DOI: 10.1523/JNEUROSCI.0964-14.2014

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  41 in total

1.  A multivariate model of time to conversion from mild cognitive impairment to Alzheimer's disease.

Authors:  María Eugenia López; Agustín Turrero; Pablo Cuesta; Inmaculada Concepción Rodríguez-Rojo; Ana Barabash; Alberto Marcos; Fernando Maestú; Alberto Fernández
Journal:  Geroscience       Date:  2020-09-04       Impact factor: 7.713

2.  Sex Differences in Magnetoencephalography-Identified Functional Connectivity in the Human Connectome Project Connectomics of Brain Aging and Dementia Cohort.

Authors:  Ricardo Bruña; Fernando Maestú; David López-Sanz; Anto Bagic; Ann D Cohen; Yue-Fang Chang; Yu Cheng; Jack Doman; Ted Huppert; Tae Kim; Rebecca E Roush; Beth E Snitz; James T Becker
Journal:  Brain Connect       Date:  2021-11-02

3.  Discriminating Alzheimer's disease progression using a new hippocampal marker from T1-weighted MRI: The local surface roughness.

Authors:  Carlos Platero; María Eugenia López; María Del Carmen Tobar; Miguel Yus; Fernando Maestu
Journal:  Hum Brain Mapp       Date:  2018-11-19       Impact factor: 5.038

4.  Network Disruption and Cerebrospinal Fluid Amyloid-Beta and Phospho-Tau Levels in Mild Cognitive Impairment.

Authors:  Leonides Canuet; Sandra Pusil; María Eugenia López; Ricardo Bajo; José Ángel Pineda-Pardo; Pablo Cuesta; Gerardo Gálvez; José María Gaztelu; Daniel Lourido; Guillermo García-Ribas; Fernando Maestú
Journal:  J Neurosci       Date:  2015-07-15       Impact factor: 6.167

5.  Reduced synchrony in alpha oscillations during life predicts post mortem neurofibrillary tangle density in early-onset and atypical Alzheimer's disease.

Authors:  Kamalini G Ranasinghe; Cathrine Petersen; Kiwamu Kudo; Danielle Mizuiri; Katherine P Rankin; Gil D Rabinovici; Maria Luisa Gorno-Tempini; William W Seeley; Salvatore Spina; Bruce L Miller; Keith Vossel; Lea T Grinberg; Srikantan S Nagarajan
Journal:  Alzheimers Dement       Date:  2021-04-21       Impact factor: 21.566

6.  A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression With MEG Brain Networks.

Authors:  Mengjia Xu; David Lopez Sanz; Pilar Garces; Fernando Maestu; Quanzheng Li; Dimitrios Pantazis
Journal:  IEEE Trans Biomed Eng       Date:  2021-04-21       Impact factor: 4.538

7.  How to Build a Functional Connectomic Biomarker for Mild Cognitive Impairment From Source Reconstructed MEG Resting-State Activity: The Combination of ROI Representation and Connectivity Estimator Matters.

Authors:  Stavros I Dimitriadis; María E López; Ricardo Bruña; Pablo Cuesta; Alberto Marcos; Fernando Maestú; Ernesto Pereda
Journal:  Front Neurosci       Date:  2018-06-01       Impact factor: 5.152

8.  Tuning pathological brain oscillations with neurofeedback: a systems neuroscience framework.

Authors:  Tomas Ros; Bernard J Baars; Ruth A Lanius; Patrik Vuilleumier
Journal:  Front Hum Neurosci       Date:  2014-12-18       Impact factor: 3.169

9.  A multicenter study of the early detection of synaptic dysfunction in Mild Cognitive Impairment using Magnetoencephalography-derived functional connectivity.

Authors:  Fernando Maestú; Jose-Maria Peña; Pilar Garcés; Santiago González; Ricardo Bajo; Anto Bagic; Pablo Cuesta; Michael Funke; Jyrki P Mäkelä; Ernestina Menasalvas; Akinori Nakamura; Lauri Parkkonen; Maria E López; Francisco Del Pozo; Gustavo Sudre; Edward Zamrini; Eero Pekkonen; Richard N Henson; James T Becker
Journal:  Neuroimage Clin       Date:  2015-08-01       Impact factor: 4.881

10.  Frequency-Dependent Brain Regional Homogeneity Alterations in Patients with Mild Cognitive Impairment during Working Memory State Relative to Resting State.

Authors:  Pengyun Wang; Rui Li; Jing Yu; Zirui Huang; Juan Li
Journal:  Front Aging Neurosci       Date:  2016-03-24       Impact factor: 5.750

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