Prognosis of stroke upper limb recovery with physiological variables using regression tree ensembles
| Autor: | Oscar Arias-Carrión, Paul Carrillo-Mora, Claudia Hernandez-Arenas, Raquel Valdés-Cristerna, Ruben I. Carino-Escobar, Marlene A Rodriguez-Barragan, Jimena Quinzaños-Fresnedo, Jessica Cantillo-Negrete |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
medicine.medical_treatment 0206 medical engineering Biomedical Engineering 02 engineering and technology Electroencephalography Pinch Strength Upper Extremity 03 medical and health sciences Cellular and Molecular Neuroscience 0302 clinical medicine Physical medicine and rehabilitation medicine Humans Stroke Brain–computer interface medicine.diagnostic_test business.industry Stroke Rehabilitation Motor control Recovery of Function medicine.disease Prognosis 020601 biomedical engineering Transcranial magnetic stimulation medicine.anatomical_structure Corticospinal tract Upper limb business 030217 neurology & neurosurgery |
| Zdroj: | Journal of neural engineering. 18(4) |
| ISSN: | 1741-2552 |
| Popis: | Objective. This study assesses upper limb recovery prognosis after stroke with solely physiological information, which can provide an objective estimation of recovery. Approach. Clinical recovery was forecasted using EEG-derived Event-Related Desynchronization/Synchronization and coherence, in addition to Transcranial Magnetic Stimulation elicited motor-evoked potentials and upper limb grip and pinch strength. A Regression Tree Ensemble predicted clinical recovery of a stroke database (n = 10) measured after a two-month intervention with the Fugl-Meyer Assessment for the Upper Extremity (FMA-UE) and the Action Research Arm Test (ARAT). Main results. There were no significant differences between predicted and actual outcomes with FMA-UE (p = 0.29) and ARAT (p = 0.5). Median prediction error for FMA-UE and ARAT were of 0.3 (IQR = 6.2) and 3.4 (IQR = 9.4) points, respectively. Predictions with the most pronounced errors were due to an underestimation of high upper limb recovery. The best features for FMA-UE prediction included mostly beta activity over the sensorimotor cortex. Best ARAT prediction features were cortical beta activity, corticospinal tract integrity of the unaffected hemisphere, and upper limb strength. Significance. Results highlighted the importance of measuring cortical activity related to motor control processes, the unaffected hemisphere’s integrity, and upper limb strength for prognosis. It was also implied that stroke upper limb recovery prediction is feasible using solely physiological variables with a Regression Tree Ensemble, which can also be used to analyze physiological relationships with recovery. |
| Databáze: | OpenAIRE |
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