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High-accuracy MEG/EEG diagnostics with SCA

Projekter: ProjektForskning

  • Univ Helsinki, University of Helsinki, Cicero Learning Network
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Beskrivelse

The accuracy of electroencephalography (EEG) and magnetoencephalography (MEG) is challenged by overlapping neural sources. This lack of accuracy is a severe limitation to the application of MEG/EEG to clinical diagnostics. As a solution, we here introduce a spike density component analysis (SCA) method for isolating specific neural sources.

Lægmandssprog

When we sense and think, magnetoencephalography (MEG) sensors and electroencephalography (EEG) electrodes placed outside the head can measure related electrical activity generated by neurons in the brain. MEG/EEG is widely applied to measure healthy sensing and cognition in the brain and effects of illness and recovery in patients. However, these measures are not yet used for clinical routine, since the electrical brain activity is very weak, and it needs to be isolated from many interfering signals. As a solution, we developed a novel data analysis method, which isolates neural signals from different brain regions by modeling their shape in time.
StatusIgangværende
Effektiv start/slut dato01/01/2019 → …

Publikationer

ID: 209586378