Automatic selection and feature extraction of motor-evoked potentials by transcranial magnetic stimulation in stroke patients

Tecuapetla-Trejo, Jose E.; Cantillo-Negrete, Jessica; Carrillo‐Mora, Paul; Valdés-Cristerna, Raquel; Ortega-Robles, Emmanuel; Arias-Carrión, Óscar; Carino-Escobar, Ruben I.

doi:10.1007/s11517-021-02315-z

Cited by 5 publications

(1 citation statement)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Amplitude and latency of MEPs recorded in the baseline measurement of each patient were extracted using an automatic method based on frequency-domain features. This method selected the 20 out of 30 trials per session which were more likely to present a MEP within the EMG recording [39]. This number of trials was selected since it is the minimum recommended for assessing MEP features' variability [40].…”

Section: Feature Extraction Of Mepsmentioning

confidence: 99%

Prognosis of stroke upper limb recovery with physiological variables using regression tree ensembles

et al. 2021

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Feature Extraction Of Mepsmentioning

confidence: 99%

Prognosis of stroke upper limb recovery with physiological variables using regression tree ensembles

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

Reliability of a TMS-derived threshold matrix of corticomotor function

Shanks,

Cirillo,

Stinear

et al. 2023

Exp Brain Res

View full text Add to dashboard Cite

Transcranial magnetic stimulation (TMS) studies typically focus on suprathreshold motor evoked potentials (MEPs), overlooking small MEPs representing subthreshold corticomotor pathway activation. Assessing subthreshold excitability could provide insights into corticomotor pathway integrity and function, particularly in neurological conditions like stroke. The aim of the study was to examine the test–retest reliability of metrics derived from a novel compositional analysis of MEP data from older adults. The study also compared the composition between the dominant (D) and non-dominant (ND) sides and explored the association between subthreshold responses and resting motor threshold. In this proof-of-concept study, 23 healthy older adults participated in two identical experimental sessions. Stimulus–response (S–R) curves and threshold matrices were constructed using single-pulse TMS across intensities to obtain MEPs in four upper limb muscles. S–R curves had reliable slopes for every muscle (Intraclass Correlation Coefficient range = 0.58–0.88). Subliminal and suprathreshold elements of the threshold matrix showed good–excellent reliability (D subliminal ICC = 0.83; ND subliminal ICC = 0.79; D suprathreshold ICC = 0.92; ND suprathreshold ICC = 0.94). By contrast, subthreshold elements of the matrix showed poor reliability, presumably due to a floor effect (D subthreshold ICC = 0.39; ND subthreshold ICC = 0.05). No composition differences were found between D and ND sides (suprathreshold BF01 = 3.85; subthreshold BF01 = 1.68; subliminal BF01 = 3.49). The threshold matrix reliably assesses subliminal and suprathreshold MEPs in older adults. Further studies are warranted to evaluate the utility of compositional analyses for assessing recovery of corticomotor pathway function after neurological injury.

show abstract

Methodological approach for assessing motor cortical excitability changes with single-pulse transcranial magnetic stimulation

Ortega-Robles,

Cantillo-Negrete,

Carino-Escobar

et al. 2023

MethodsX

View full text Add to dashboard Cite

Automatic selection and feature extraction of motor-evoked potentials by transcranial magnetic stimulation in stroke patients

Cited by 5 publications

References 25 publications

Prognosis of stroke upper limb recovery with physiological variables using regression tree ensembles

Prognosis of stroke upper limb recovery with physiological variables using regression tree ensembles

Reliability of a TMS-derived threshold matrix of corticomotor function

Methodological approach for assessing motor cortical excitability changes with single-pulse transcranial magnetic stimulation

Contact Info

Product

Resources

About