RT Journal Article
T1 EEG functional connectivity contributes to outcome prediction of postanoxic coma
A1 Carrasco Gómez, Martín
A1 Keijzer, Hanneke M.
A1 Ruijter, Barry J.
A1 Bruña Fernández, Ricardo
A1 Tjepkema-Cloostermans, Marleen C.
A1 Hofmeijer, Jeannette
A1 van Putten, Michel J. A. M.
AB ObjectiveTo investigate the additional value of EEG functional connectivity features, in addition to non-coupling EEG features, for outcome prediction of comatose patients after cardiac arrest.MethodsProspective, multicenter cohort study. Coherence, phase locking value, and mutual information were calculated in 19-channel EEGs at 12 h, 24 h and 48 h after cardiac arrest. Three sets of machine learning classification models were trained and validated with functional connectivity, EEG non-coupling features, and a combination of these. Neurological outcome was assessed at six months and categorized as “good” (Cerebral Performance Category [CPC] 1–2) or “poor” (CPC 3–5).ResultsWe included 594 patients (46% good outcome). A sensitivity of 51% (95% CI: 34–56%) at 100% specificity in predicting poor outcome was achieved by the best functional connectivity-based classifier at 12 h after cardiac arrest, while the best non-coupling-based model reached a sensitivity of 32% (0–54%) at 100% specificity using data at 12 h and 48 h. Combination of both sets of features achieved a sensitivity of 73% (50–77%) at 100% specificity.ConclusionFunctional connectivity measures improve EEG based prediction models for poor outcome of postanoxic coma.SignificanceFunctional connectivity features derived from early EEG hold potential to improve outcome prediction of coma after cardiac arrest.
PB Elsevier
SN 1388-2457
YR 2021
FD 2021-06
LK https://hdl.handle.net/20.500.14352/100395
UL https://hdl.handle.net/20.500.14352/100395
LA eng
NO Carrasco-Gómez M, Keijzer HM, Ruijter BJ, Bruña R, Tjepkema-Cloostermans MC, Hofmeijer J, van Putten MJAM. EEG functional connectivity contributes to outcome prediction of postanoxic coma. Clin Neurophysiol. 2021 Jun;132(6):1312-1320. doi: 10.1016/j.clinph.2021.02.011. Epub 2021 Mar 12. PMID: 33867260.
DS Docta Complutense
RD 27 sept 2024