Linear distributed inverse solutions for interictal EEG source localisation.
Clin Neurophysiol
; 133: 58-67, 2022 01.
Article
in En
| MEDLINE
| ID: mdl-34801964
ABSTRACT
OBJECTIVE:
To compare the spatial accuracy of 6 linear distributed inverse solutions for EEG source localisation of interictal epileptic discharges Minimum Norm, Weighted Minimum Norm, Low-Resolution Electromagnetic Tomography (LORETA), Local Autoregressive Average (LAURA), Standardised LORETA, and Exact LORETA.METHODS:
Spatial accuracy was assessed clinically by retrospectively comparing the maximum source of averaged interictal discharges to the resected brain area in 30 patients with successful epilepsy surgery, based on 204-channel EEG. Additionally, localisation errors of the inverse solutions were assessed in computer simulations, with different levels of noise added to the signal in both sensor space and source space.RESULTS:
In the clinical evaluations, the source maximum was located inside the resected brain area in 50-57% of patients when using LORETA or LAURA, while all other inverse solutions performed significantly worse (17-30%; corrected p < 0.01). In the simulation studies, when noise levels exceeded 10%, LORETA and LAURA had substantially smaller localisation errors than the other inverse solutions.CONCLUSIONS:
LORETA and LAURA provided the highest spatial accuracy both in clinical and simulated data, alongside with a comparably high robustness towards noise.SIGNIFICANCE:
Among the different linear inverse solution algorithms tested, LORETA and LAURA might be preferred for interictal EEG source localisation.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Brain
/
Brain Mapping
/
Electroencephalography
/
Epilepsy
Limits:
Humans
Language:
En
Journal:
Clin Neurophysiol
Journal subject:
NEUROLOGIA
/
PSICOFISIOLOGIA
Year:
2022
Type:
Article
Affiliation country:
Switzerland