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Detection of interictal epileptiform discharges: A comparison of on-scalp MEG and conventional MEG measurements

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  • Karin Westin, Karolinska Institutet, Karolinska University Hospital
  • ,
  • Christoph Pfeiffer, Chalmers University of Technology
  • ,
  • Lau M. Andersen
  • Silvia Ruffieux, Chalmers University of Technology
  • ,
  • Gerald Cooray, Karolinska Institutet, Karolinska University Hospital
  • ,
  • Alexei Kalaboukhov, Chalmers University of Technology
  • ,
  • Dag Winkler, Chalmers University of Technology
  • ,
  • Martin Ingvar, Karolinska Institutet
  • ,
  • Justin Schneiderman, University of Gothenburg
  • ,
  • Daniel Lundqvist, Karolinska Institutet

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. Co-registration 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.

TidsskriftClinical Neurophysiology
Sider (fra-til)1711-1720
Antal sider10
StatusUdgivet - aug. 2020

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