Alterations of Effective Connectivity Patterns in Mild Cognitive Impairment: An MEG Study.

Coherence; Granger causality; connectivity; magnetoencephalography (MEG); mild cognitive impairment; neuroimaging; Aged; Brain/physiopathology; Brain Mapping/methods; Cognitive Dysfunction/diagnosis; Cognitive Dysfunction/physiopathology; Female; Humans; Male; Neural Pathways/physiopathology; Rest; Sensitivity and Specificity; Magnetoencephalography/methods; Brain; Brain Mapping; Cognitive Dysfunction; Magnetoencephalography; Neural Pathways; Neuroscience (all); Clinical Psychology; Geriatrics and Gerontology; Psychiatry and Mental Health; General Medicine; General Neuroscience

Abstract :

[en] Neuroimaging techniques have demonstrated over the years their ability to characterize the brain abnormalities associated with different neurodegenerative diseases. Among all these techniques, magnetoencephalography (MEG) stands out by its high temporal resolution and noninvasiveness. The aim of the present study is to explore the coupling patterns of resting-state MEG activity in subjects with mild cognitive impairment (MCI). To achieve this goal, five minutes of spontaneous MEG activity were acquired with a 148-channel whole-head magnetometer from 18 MCI patients and 26 healthy controls. Inter-channel relationships were investigated by means of two complementary coupling measures: coherence and Granger causality. Coherence is a classical method of functional connectivity, while Granger causality quantifies effective (or causal) connectivity. Both measures were calculated in the five conventional frequency bands: delta (δ, 1-4 Hz), theta (θ, 4-8 Hz), alpha (α, 8-13 Hz), beta (β, 13-30 Hz), and gamma (γ, 30-45 Hz). Our results showed that connectivity values were lower for MCI patients than for controls in all frequency bands. However, only Granger causality revealed statistically significant differences between groups (p-values < 0.05, FDR corrected Mann-Whitney U-test), mainly in the beta band. Our results support the role of MCI as a disconnection syndrome, which elicits early alterations in effective connectivity patterns. These findings can be helpful to identify the neural substrates involved in prodromal stages of dementia.

Disciplines :

Neurology

Author, co-author :

Gómez, Carlos; Biomedical Engineering Group, University of Valladolid, Spain

Juan-Cruz, Celia; Department of Radiation Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands

Poza, Jesús; Biomedical Engineering Group, University of Valladolid, Spain ; IMUVA, Instituto de Investigación en Matemáticas, University of Valladolid, Spain ; INCYL, Instituto de Neurociencias de Castilla y León, University of Salamanca, Spain

Ruiz-Gómez, Saúl J; Biomedical Engineering Group, University of Valladolid, Spain

Gomez-Pilar, Javier; Biomedical Engineering Group, University of Valladolid, Spain

Nunez Novo, Pablo ; University of Valladolid > Biomedical Engineering Group

García, María; Biomedical Engineering Group, University of Valladolid, Spain

Fernández, Alberto; Department of Psychiatry, Faculty of Medicine, Complutense University of Madrid, Spain ; Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Complutense University of Madrid and Technical University of Madrid, Spain

Hornero, Roberto; Biomedical Engineering Group, University of Valladolid, Spain ; IMUVA, Instituto de Investigación en Matemáticas, University of Valladolid, Spain ; INCYL, Instituto de Neurociencias de Castilla y León, University of Salamanca, Spain

Language :

English

Title :

Alterations of Effective Connectivity Patterns in Mild Cognitive Impairment: An MEG Study.

Publication date :

2018

Journal title :

Journal of Alzheimer's Disease

ISSN :

1387-2877

eISSN :

1875-8908

Publisher :

IOS Press, Amsterdam, Netherlands

Volume :

Issue :

Pages :

843 - 854

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://content.iospress.com/download?id=10.3233/JAD-170475

Funding text :

This research was supported by ‘Ministerio de Economía y Competitividad’ and ‘European Regional Development Fund’ under project TEC20 14-53196-R, by ‘European Commission’ and ‘European Regional Development Fund’ under project ‘Análisis y correlación entre el genoma completo y la actividad cerebral para la ayuda en el diagnóstico de la enfermedad de Alzheimer’ (‘Cooperation Programme Interreg V-A Spain-Portugal POCTEP 2014–2020’), and by ‘Consejería de Educación de la Junta de Castilla y León’ under project VA037U16. Pablo Núñez was in receipt of a ‘Promoción de empleo joven e implantación de la Garantía Juve-nil en I+D+i’ grant from ‘Ministerio de Economía y Competitividad’ and University of Valladolid.

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since 17 May 2023

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