2021
Frequency-specific network activity predicts bradykinesia severity in Parkinson’s disease
Muthuraman M, Palotai M, Jávor-Duray B, Kelemen A, Koirala N, Halász L, Erőss L, Fekete G, Bognár L, Deuschl G, Tamás G. Frequency-specific network activity predicts bradykinesia severity in Parkinson’s disease. NeuroImage Clinical 2021, 32: 102857. PMID: 34662779, PMCID: PMC8526781, DOI: 10.1016/j.nicl.2021.102857.Peer-Reviewed Original ResearchConceptsSlope of changeContralateral stimulationPremotor cortexParkinson's diseasePrimary motorPresent cross-sectional studyBasal ganglia-thalamoBilateral subthalamic stimulationCross-sectional studyHigh beta frequency bandBeta frequency bandsParkinsonian patientsSubthalamic stimulationContralateral sideScreening periodSubthalamic nucleusBradykinesia severityCortical circuitsGamma frequency bandBradykinesiaDiseaseHigh-gamma frequency bandStimulation levelsStimulationCortex
2018
Cerebello-cortical network fingerprints differ between essential, Parkinson’s and mimicked tremors
Muthuraman M, Raethjen J, Koirala N, Anwar A, Mideksa K, Elble R, Groppa S, Deuschl G. Cerebello-cortical network fingerprints differ between essential, Parkinson’s and mimicked tremors. Brain 2018, 141: 1770-1781. PMID: 29701820, DOI: 10.1093/brain/awy098.Peer-Reviewed Original ResearchConceptsEssential tremorSensorimotor cortexCerebral cortexHealthy controlsPremotor cortexParkinson's diseaseVoluntary rhythmic movementsPrimary sensorimotor cortexSex-matched groupPrimary sensorimotor regionsEEG-EMG coherenceMotor performance measuresParkinson's tremorEMG oscillationsCortical efferentsSensorimotor regionsCerebellar involvementTremor severityFunctional MRICortexCerebellumDiseaseAdditional studiesTremorMulti-channel EMG
2016
Increased structural white and grey matter network connectivity compensates for functional decline in early multiple sclerosis
Fleischer V, Gröger A, Koirala N, Droby A, Muthuraman M, Kolber P, Reuter E, Meuth S, Zipp F, Groppa S. Increased structural white and grey matter network connectivity compensates for functional decline in early multiple sclerosis. Multiple Sclerosis Journal 2016, 23: 432-441. PMID: 27246143, DOI: 10.1177/1352458516651503.Peer-Reviewed Original ResearchConceptsMultiple sclerosisCentral nervous systemMagnetic resonance imagingWhite matterClinical declineClinical impairmentRelapsing-remitting MS patientsEarly multiple sclerosisVoxel-based morphometryTemporo-parietal regionsNeuronal injuryConnectivity patternsMS patientsRemission phaseDisease stageDisease onsetHealthy controlsFunctional declineNervous systemGray matter networksResonance imagingProbabilistic tractographySclerosisStructural connectivityDisease