Literature DB >> 25281603

Influence of the APOE ε4 allele and mild cognitive impairment diagnosis in the disruption of the MEG resting state functional connectivity in sources space.

Pablo Cuesta1, Pilar Garcés2, Nazareth P Castellanos3, Maria Eugenia López4, Sara Aurtenetxe5, Ricardo Bajo5, José Angel Pineda-Pardo5, Ricardo Bruña5, Antonio García Marín6, Marisa Delgado7, Ana Barabash8, Inés Ancín8, Jose Antonio Cabranes8, Alberto Fernandez9, Francisco Del Pozo5, Miguel Sancho10, Alberto Marcos11, Akinori Nakamura12, Fernando Maestú13.   

Abstract

The apolipoprotein E (APOE) ε4 allele constitutes the major genetic risk for the development of late onset Alzheimer's disease (AD). However, its influence on the neurodegeneration that occurs in early AD remains unresolved. In this study, the resting state magnetoencephalography(MEG) recordings were obtained from 27 aged healthy controls and 36 mild cognitive impairment (MCI) patients. All participants were divided into carriers and non-carriers of the ε4 allele. We have calculated the functional connectivity (FC) in the source space along brain regions estimated using the Harvard-Oxford atlas and in the classical bands. Then, a two way ANOVA analysis (diagnosis and APOE) was performed in each frequency band. The diagnosis effect consisted of a diminished FC within the high frequency bands in the MCI patients, affecting medial temporal and parietal regions. The APOE effect produced a decreased long range FC in delta band in ε4 carriers. Finally, the interaction effect showed that the FC pattern of the right frontal-temporal region could be reflecting a compensatory/disruption process within the ε4 allele carriers. Several of these results correlated with cognitive decline and neuropsychological performance. The present study characterizes how the APOE ε4 allele and MCI status affect the brain's functional organization by analyzing the FC patterns in MEG resting state in the sources space. Therefore a combination of genetic, neuropsychological, and neurophysiological information might help to detect MCI patients at higher risk of conversion to AD and asymptomatic subjects at higher risk of developing a manifest cognitive deterioration.

Entities:  

Keywords:  APOE ε4; Aging; functional connectivity; magnetoencephalography; mild cognitive impairment; source analysis

Mesh:

Substances:

Year:  2015        PMID: 25281603     DOI: 10.3233/JAD-141872

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


  23 in total

1.  Neurophysiological signatures in Alzheimer's disease are distinctly associated with TAU, amyloid-β accumulation, and cognitive decline.

Authors:  Kamalini G Ranasinghe; Jungho Cha; Leonardo Iaccarino; Leighton B Hinkley; Alexander J Beagle; Julie Pham; William J Jagust; Bruce L Miller; Katherine P Rankin; Gil D Rabinovici; Keith A Vossel; Srikantan S Nagarajan
Journal:  Sci Transl Med       Date:  2020-03-11       Impact factor: 17.956

2.  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

3.  Episodic memory dysfunction and hypersynchrony in brain functional networks in cognitively intact subjects and MCI: a study of 379 individuals.

Authors:  Brenda Chino; Pablo Cuesta; Javier Pacios; Jaisalmer de Frutos-Lucas; Lucía Torres-Simón; Sandra Doval; Alberto Marcos; Ricardo Bruña; Fernando Maestú
Journal:  Geroscience       Date:  2022-09-15       Impact factor: 7.581

4.  MEG biomarker of Alzheimer's disease: Absence of a prefrontal generator during auditory sensory gating.

Authors:  Sanja Josef Golubic; Cheryl J Aine; Julia M Stephen; John C Adair; Janice E Knoefel; Selma Supek
Journal:  Hum Brain Mapp       Date:  2017-07-17       Impact factor: 5.038

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.  Early functional network alterations in asymptomatic elders at risk for Alzheimer's disease.

Authors:  Akinori Nakamura; Pablo Cuesta; Takashi Kato; Yutaka Arahata; Kaori Iwata; Misako Yamagishi; Izumi Kuratsubo; Kimiko Kato; Masahiko Bundo; Kersten Diers; Alberto Fernández; Fernando Maestú; Kengo Ito
Journal:  Sci Rep       Date:  2017-07-26       Impact factor: 4.379

9.  Functional and structural brain connectivity of young binge drinkers: a follow-up study.

Authors:  A Correas; P Cuesta; E López-Caneda; S Rodríguez Holguín; L M García-Moreno; J A Pineda-Pardo; F Cadaveira; F Maestú
Journal:  Sci Rep       Date:  2016-08-10       Impact factor: 4.379

10.  No association of cortical amyloid load and EEG connectivity in older people with subjective memory complaints.

Authors:  Stefan Teipel; Hovagim Bakardjian; Gabriel Gonzalez-Escamilla; Enrica Cavedo; Sarah Weschke; Martin Dyrba; Michel J Grothe; Marie-Claude Potier; Marie-Odile Habert; Bruno Dubois; Harald Hampel
Journal:  Neuroimage Clin       Date:  2017-10-29       Impact factor: 4.881

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