Frontiers in Aging Neuroscience · 2020 · 19 citations · 20 references
MedicineAnesthesiologyNeuroscienceAnesthesiaCognitive NeuroscienceGeneral AnesthesiaAnesthesia For Geriatric PatientsCognitive ImpairmentElectroencephalogram AnalysisElectroencephalographyGeneral Anesthetic AgentsGeriatric AnesthesiaCognitive Decline DetectionCognitive EvaluationCognitive Impairment EvaluationLogistic RegressionOperative MorbidityPropofol AnesthesiaPropofol Use
Background: Although cognitive decline (CD) is associated with increased post-operative morbidity and mortality, routinely screening patients remains difficult. The main objective of this prospective study is to use the EEG response to a Propofol-based general anesthesia (GA) to reveal CD. Methods: 42 patients with collected EEG and Propofol target concentration infusion (TCI) during GA had a preoperative cognitive assessment using MoCA. We evaluated the performance of three variables to detect CD (MoCA < 25 points): age, Propofol requirement to induce unconsciousness (TCI at SEF 95 : 8–13 Hz) and the frontal alpha band power (AP at SEF 95 : 8–13 Hz). Results: The 17 patients (40%) with CD were significantly older ( p < 0.001), had lower TCI ( p < 0.001), and AP ( p < 0.001). We found using logistic models that TCI and AP were the best set of variables associated with CD (AUC: 0.89) and performed better than age ( p < 0.05). Propofol TCI had a greater impact on CD probability compared to AP, although both were complementary in detecting CD. Conclusion: TCI and AP contribute additively to reveal patient with preoperative cognitive decline. Further research on post-operative cognitive trajectory are necessary to confirm the interest of intra operative variables in addition or as a substitute to cognitive evaluation.
20
Prediction of Individual Brain Maturity Using fMRI
Nico U.F. Dosenbach, Binyam Nardos, Alexander L. Cohen et al. · Science · 2010 · 2.3K citations · Full text
Predicting brain-age from multimodal imaging data captures cognitive impairment
Franziskus Liem, Gaël Varoquaux, Jana Kynast et al. · NeuroImage · 2016 · 566 citations
Medicine, Neurology, Neuroscience +17