0000000001058818

AUTHOR

Madeleine M. Lowery

showing 2 related works from this author

Altered supraspinal motor networks in survivors of poliomyelitis: A cortico-muscular coherence study.

2020

Abstract Objective Poliomyelitis results in changes to the anterior horn cell. The full extent of cortical network changes in the motor physiology of polio survivors has not been established. Our aim was to investigate how focal degeneration of the lower motor neurons (LMN) in infancy/childhood affects motor network connectivity in adult survivors of polio. Methods Surface electroencephalography (EEG) and electromyography (EMG) were recorded during an isometric pincer grip task in 25 patients and 11 healthy controls. Spectral signal analysis of cortico-muscular (EEG-EMG) coherence (CMC) was used to identify the cortical regions that are functionally synchronous and connected to the peripher…

Malemedicine.medical_specialtyElectromyographyIsometric exerciseElectroencephalography050105 experimental psychology03 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitationAnterior Horn CellPhysiology (medical)Isometric ContractionmedicineHumans0501 psychology and cognitive sciencesProspective StudiesSurvivorsMuscle Skeletalmedicine.diagnostic_testHand Strengthbusiness.industryElectromyography05 social sciencesMotor CortexElectroencephalographySpinal muscular atrophySMA*medicine.diseaseSensory Systems3. Good healthPoliomyelitismedicine.anatomical_structureNeurologyFemaleNeurology (clinical)business030217 neurology & neurosurgeryMotor cortexPoliomyelitisClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
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Non-Parametric Rank Statistics for Spectral Power and Coherence

2019

AbstractDespite advances in multivariate spectral analysis of neural signals, the statistical inference of measures such as spectral power and coherence in practical and real-life scenarios remains a challenge. The non-normal distribution of the neural signals and presence of artefactual components make it difficult to use the parametric methods for robust estimation of measures or to infer the presence of specific spectral components above the chance level. Furthermore, the bias of the coherence measures and their complex statistical distributions are impediments in robust statistical comparisons between 2 different levels of coherence. Non-parametric methods based on the median of auto-/c…

Multivariate statisticsbusiness.industryComputer scienceStatistical inferenceNonparametric statisticsProbability distributionCoherence (signal processing)Spectral analysisDigital signalPattern recognitionArtificial intelligencebusinessCoherence (physics)
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