Deciphering the Morphology of Motor Evoked Potentials

Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis

(2020) Jan Yperman et al.   BMC Neurology

Principal Component Regression on Motor Evoked Potential in Single-Pulse Transcranial Magnetic Stimulation

(2019) D. T. A. Nguyen et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

hctsa : A Computational Framework for Automated Time-Series Phenotyping Using Massive Feature Extraction

(2017) Ben D. Fulcher et al.   Cell Systems

Multimodal evoked potentials for functional quantification and prognosis in multiple sclerosis

(2016) Xavier Giffroy et al.   BMC Neurology

Monitoring multiple sclerosis by multimodal evoked potentials: Numerically versus ordinally scaled scoring systems

(2016) Regina Schlaeger et al.   CLINICAL NEUROPHYSIOLOGY

Non-invasive electrical and magnetic stimulation of the brain, spinal cord, roots and peripheral nerves: Basic principles and procedures for routine clinical and research application. An updated report from an I.F.C.N. Committee

(2015) P.M. Rossini et al.   CLINICAL NEUROPHYSIOLOGY

Highly comparative time-series analysis: the empirical structure of time series and their methods

(2013) B. D. Fulcher et al.   Journal of the Royal Society Interface

Electrophysiological markers and predictors of the disease course in primary progressive multiple sclerosis

(2013) Regina Schlaeger et al.   Multiple Sclerosis Journal

Exploring the predictive value of the evoked potentials score in MS within an appropriate patient population: a hint for an early identification of benign MS?

(2012) Nicolò Margaritella et al.   BMC Neurology

Prognostic value of multimodal evoked potentials in multiple sclerosis: the EP score

(2011) Paolo Invernizzi et al.   JOURNAL OF NEUROLOGY

Multimodal evoked potentials measure and predict disability progression in early relapsing–remitting multiple sclerosis

(2008) P Jung et al.   Multiple Sclerosis Journal