MNE Scan: Software for real-time processing of electrophysiological data.

Abstract:

BACKGROUND:Magnetoencephalography (MEG) and Electroencephalography (EEG) are noninvasive techniques to study the electrophysiological activity of the human brain. Thus, they are well suited for real-time monitoring and analysis of neuronal activity. Real-time MEG/EEG data processing allows adjustment of the stimuli to the subject's responses for optimizing the acquired information especially by providing dynamically changing displays to enable neurofeedback. NEW METHOD:We introduce MNE Scan, an acquisition and real-time analysis software based on the multipurpose software library MNE-CPP. MNE Scan allows the development and application of acquisition and novel real-time processing methods in both research and clinical studies. The MNE Scan development follows a strict software engineering process to enable approvals required for clinical software. RESULTS:We tested the performance of MNE Scan in several device-independent use cases, including, a clinical epilepsy study, real-time source estimation, and Brain Computer Interface (BCI) application. COMPARISON WITH EXISTING METHOD(S):Compared to existing tools we propose a modular software considering clinical software requirements expected by certification authorities. At the same time the software is extendable and freely accessible. CONCLUSION:We conclude that MNE Scan is the first step in creating a device-independent open-source software to facilitate the transition from basic neuroscience research to both applied sciences and clinical applications.

journal_name

J Neurosci Methods

authors

Esch L,Sun L,Klüber V,Lew S,Baumgarten D,Grant PE,Okada Y,Haueisen J,Hämäläinen MS,Dinh C

doi

10.1016/j.jneumeth.2018.03.020

subject

Has Abstract

pub_date

2018-06-01 00:00:00

pages

55-67

eissn

0165-0270

issn

1872-678X

pii

S0165-0270(18)30097-9

journal_volume

303

pub_type

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