Detection of interictal epileptiform discharges: A comparison of on-scalp MEG and conventional MEG measurements
Journal article, 2020
Objective: Conventional MEG provides an unsurpassed ability to, non-invasively, detect epileptic activity. However, highly resolved information on small neuronal populations required in epilepsy diagnostics is lost and can be detected only intracranially. Next-generation on-scalp magnetencephalography (MEG) sensors aim to retrieve information unavailable to conventional non-invasive brain imaging techniques. To evaluate the benefits of on-scalp MEG in epilepsy, we performed the first-ever such measurement on an epilepsy patient.
Methods: Conducted as a benchmarking study focusing on interictal epileptiform discharge (IED) detectability, an on-scalp high-temperature superconducting quantum interference device magnetometer (high-Tc SQUID) system was compared to a conventional, low-temperature SQUID system. Coregistration of electroencephalopraphy (EEG) was performed. A novel machine learning-based IED-detection algorithm was developed to aid identification of on-scalp MEG unique IEDs.
Results: Conventional MEG contained 24 IEDs. On-scalp MEG revealed 47 IEDs (16 co-registered by EEG, 31 unique to the on-scalp MEG recording). Conclusion: Our results indicate that on-scalp MEG might capture IEDs not seen by other non-invasive modalities. Significance: On-scalp MEG has the potential of improving non-invasive epilepsy evaluation.
Instrumentation
High-critical temperature SQUIDs
Epilepsy
Interictal epileptiform discharges
Magnetoencephalography
Author
Karin Westin
Karolinska University Hospital
Karolinska Institutet
Christoph Pfeiffer
Chalmers, Microtechnology and Nanoscience (MC2), Quantum Device Physics
Lau M. Andersen
Aarhus University
Karolinska Institutet
Silvia Ruffieux
Chalmers, Microtechnology and Nanoscience (MC2), Quantum Device Physics
Gerald Cooray
Karolinska Institutet
Karolinska University Hospital
Alexei Kalaboukhov
Chalmers, Microtechnology and Nanoscience (MC2), Quantum Device Physics
Dag Winkler
Chalmers, Microtechnology and Nanoscience (MC2), Quantum Device Physics
Martin Ingvar
Karolinska Institutet
Justin Schneiderman
University of Gothenburg
Daniel Lundqvist
Karolinska Institutet
Clinical Neurophysiology
1388-2457 (ISSN) 18728952 (eISSN)
Vol. 131 8 1711-1720Subject Categories
Medical Laboratory and Measurements Technologies
Other Medical Engineering
Other Physics Topics
Biomedical Laboratory Science/Technology
DOI
10.1016/j.clinph.2020.03.041
PubMed
32504930