Measuring alterations in oscillatory brain networks in schizophrenia with resting-state MEG: State-of-the-art and methodological challenges. Issue 9 (September 2017)

• Record Type: Journal Article
• Authors: Alamian, Golnoush; Hincapié, Ana-Sofía; Pascarella, Annalisa; Thiery, Thomas; Combrisson, Etienne; Saive, Anne-Lise; Martel, Véronique; Althukov, Dmitrii; Haesebaert, Frédéric; Jerbi, Karim
• Is Part Of: Clinical neurophysiology. Volume 128:Issue 9(2017:Sep.)
• Page Start: 1719
• Page End: 1736
• Publication Date: 2017-09
• Subjects: ACC anterior cingulate cortex -- CEN central executive network -- DBS deep brain stimulation -- DMN default mode network -- EEG electroencephalography -- fMRI functional magnetic resonance imaging -- MEG magnetoencephalography -- PFC prefrontal cortex -- RS resting-state -- SZ schizophrenia; Magnetoencephalography (MEG) -- Connectivity -- Resting-state -- Psychiatry -- Schizophrenia -- Oscillations -- Synchronization; Neurophysiology -- Periodicals; Electroencephalography -- Periodicals; Electromyography -- Periodicals; Neurology -- Periodicals; 612.8
• DOI: 10.1016/j.clinph.2017.06.246
• Languages: English
• ISSNs: 1388-2457

Abstract

Highlights: Systematic review of Resting-state Magnetoencephalography (RS-MEG) studies in schizophrenia. We compare RS-MEG findings to those from RS-fMRI, RS-EEG and task-based MEG studies. Current challenges are described, methodological recommendations for future studies are proposed. Abstract: Objective: Neuroimaging studies provide evidence of disturbed resting-state brain networks in Schizophrenia (SZ). However, untangling the neuronal mechanisms that subserve these baseline alterations requires measurement of their electrophysiological underpinnings. This systematic review specifically investigates the contributions of resting-state Magnetoencephalography (MEG) in elucidating abnormal neural organization in SZ patients. Method: A systematic literature review of resting-state MEG studies in SZ was conducted. This literature is discussed in relation to findings from resting-state fMRI and EEG, as well as to task-based MEG research in SZ population. Importantly, methodological limitations are considered and recommendations to overcome current limitations are proposed. Results: Resting-state MEG literature in SZ points towards altered local and long-range oscillatory network dynamics in various frequency bands. Critical methodological challenges with respect to experiment design, and data collection and analysis need to be taken into consideration. Conclusion: Spontaneous MEG data show that local and global neural organization is altered in SZ patients. MEG is a highly promising tool to fill in knowledge gaps about the neurophysiology of SZ. However, to reach its fullest potential, basic methodological challenges need to be overcome. Significance: MEG-based resting-state power and connectivity findings could be great assets to clinical and translational research in psychiatry, and SZ in particular.