2024
Cross-modal plasticity in children with cochlear implant: converging evidence from EEG and functional near-infrared spectroscopy
Deroche M, Wolfe J, Neumann S, Manning J, Hanna L, Towler W, Wilson C, Bien A, Miller S, Schafer E, Gemignani J, Alemi R, Muthuraman M, Koirala N, Gracco V. Cross-modal plasticity in children with cochlear implant: converging evidence from EEG and functional near-infrared spectroscopy. Brain Communications 2024, 6: fcae175. PMID: 38846536, PMCID: PMC11154148, DOI: 10.1093/braincomms/fcae175.Peer-Reviewed Original ResearchCochlear implantationImplanted childrenCross-modal reorganizationYear old childrenAuditory association areasFunctional near-infrared spectroscopyCross-modal plasticitySilent worldNear-infrared spectroscopyVisual cortex responsesAuditory cortexCortical responsesOlder childrenResponse to environmental stimulationPromote visionsChildrenHigh-density electroencephalographyImplantationCortex responsesLow-level visual tasksVisual cortexHearingCortexAssociation areasLanguage ability
2023
Brain connectivity networks underlying resting heart rate variability in acute ischemic stroke
Dimova V, Welte-Jzyk C, Kronfeld A, Korczynski O, Baier B, Koirala N, Steenken L, Kollmann B, Tüscher O, Brockmann M, Birklein F, Muthuraman M. Brain connectivity networks underlying resting heart rate variability in acute ischemic stroke. NeuroImage Clinical 2023, 41: 103558. PMID: 38142520, PMCID: PMC10788522, DOI: 10.1016/j.nicl.2023.103558.Peer-Reviewed Original ResearchHeart rate variabilityAcute strokeLesion patternsStroke lesionsSex-matched normal subjectsAge-matched healthy subjectsLF powerRate variabilityAcute ischemic strokeAcute stroke patientsAcute stroke lesionsAnalysis of HRVResting-state brain networksDefault mode networkIschemic strokeStroke patientsVentral attention networkDiffusion-weighted imagesHRV alterationsSupine positionHealthy subjectsNormal subjectsBrain areasBrain regionsHRV parametersAudiovisual integration in children with cochlear implants revealed through EEG and fNIRS
Alemi R, Wolfe J, Neumann S, Manning J, Towler W, Koirala N, Gracco V, Deroche M. Audiovisual integration in children with cochlear implants revealed through EEG and fNIRS. Brain Research Bulletin 2023, 205: 110817. PMID: 37989460, DOI: 10.1016/j.brainresbull.2023.110817.Peer-Reviewed Original ResearchHigher language abilityLow language abilityAV stimuliCochlear implantsLanguage abilityNormal hearingAudio-visual modesSchool-aged childrenAV integrationAudiovisual integrationNH childrenMultimodal processingAV stimulationAuditory regionsEEG metricsAuditory-evoked potentialsVisual informationVisual-evoked potentialsBetter languageGroup differencesCortical responsesSingle speakerSensory deprivationOccipital regionEEG dataMotor Processing in Children With Cochlear Implants as Assessed by Functional Near-Infrared Spectroscopy
Alemi R, Wolfe J, Neumann S, Manning J, Hanna L, Towler W, Wilson C, Bien A, Miller S, Schafer E, Gemignani J, Koirala N, Gracco V, Deroche M. Motor Processing in Children With Cochlear Implants as Assessed by Functional Near-Infrared Spectroscopy. Perceptual And Motor Skills 2023, 131: 74-105. PMID: 37977135, PMCID: PMC10863375, DOI: 10.1177/00315125231213167.Peer-Reviewed Original ResearchTypical hearingCochlear implantsCortical responsesFunctional Near-Infrared SpectroscopyVisual cortexBetter language skillsPotential of fNIRSRepetitive motor taskAuditory-motorSchool-aged childrenMotor cortex activityLanguage developmentMotor processingLanguage delayCortex activityLanguage skillsCognitive functionCortical activationNeural activityMotor tasksSensory inputHemoglobin concentrationHearing statusChildrenNear-Infrared SpectroscopyAssistive techniques and their added value for tremor classification in multiple sclerosis
Koirala N, Hossen A, Isaias I, Volkmann J, Muthuraman M. Assistive techniques and their added value for tremor classification in multiple sclerosis. Neural Regeneration Research 2023, 19: 977-978. PMID: 37862196, PMCID: PMC10749605, DOI: 10.4103/1673-5374.382988.Peer-Reviewed Original ResearchDynamic networks differentiate the language ability of children with cochlear implants
Koirala N, Deroche M, Wolfe J, Neumann S, Bien A, Doan D, Goldbeck M, Muthuraman M, Gracco V. Dynamic networks differentiate the language ability of children with cochlear implants. Frontiers In Neuroscience 2023, 17: 1141886. PMID: 37409105, PMCID: PMC10318154, DOI: 10.3389/fnins.2023.1141886.Peer-Reviewed Original ResearchCochlear implantationNormal hearing childrenCI groupCI childrenCohort of ageEffective connectivityConnectivity patternsHigh-density electroencephalographyBrain areasPoor language abilityPotential biomarkersHearing childrenCochlear implantsEffective interventionsOscillatory activityCompensatory adaptationNH childrenSubstantial proportionPoor language skillsOutcome successChildrenNeural differencesDensity electroencephalographyNeural underpinningsGroupAuditory evoked response to an oddball paradigm in children wearing cochlear implants
Deroche M, Wolfe J, Neumann S, Manning J, Towler W, Alemi R, Bien A, Koirala N, Hanna L, Henry L, Gracco V. Auditory evoked response to an oddball paradigm in children wearing cochlear implants. Clinical Neurophysiology 2023, 149: 133-145. PMID: 36965466, DOI: 10.1016/j.clinph.2023.02.179.Peer-Reviewed Original ResearchConceptsMismatch negativityCochlear implantsLow languageOddball paradigmPositive componentHigh languageNormal hearingReliable mismatch negativityLate positive componentN1-P2 complexAge-appropriate skillsHigh-density electroencephalographySecond positive componentP3 responseAuditory processingNH childrenP3 componentLanguage delayDifference waveformsDifferentiated childrenImplanted childrenEarly P3Better literacy skillsDevelopmental outcomesLiteracy skillsModular segregation drives causality of the dynamic oscillatory network responses during threat processing
Gonzalez-Escamilla G, Chirumamilla V, Koirala N, Anwar A, Tüscher O, Vogt J, Horstmann P, Meyer B, Bonanno G, Groppa S, Muthuraman M. Modular segregation drives causality of the dynamic oscillatory network responses during threat processing. Brain Communications 2023, 5: fcad035. PMID: 36895959, PMCID: PMC9989139, DOI: 10.1093/braincomms/fcad035.Peer-Reviewed Original Research
2022
Sensorimotor Cortical Activity during Respiratory Arousals in Obstructive Sleep Apnea
Bahr-Hamm K, Koirala N, Hanif M, Gouveris H, Muthuraman M. Sensorimotor Cortical Activity during Respiratory Arousals in Obstructive Sleep Apnea. International Journal Of Molecular Sciences 2022, 24: 47. PMID: 36613490, PMCID: PMC9820672, DOI: 10.3390/ijms24010047.Peer-Reviewed Original ResearchConceptsModerate OSA patientsSevere OSASensorimotor cortical activityOSA patientsRespiratory arousalsCortical activityObstructive sleep apnea patientsSevere OSA patientsObstructive sleep apneaSignificant decreaseSleep apnea patientsSleep stagesRaw electroencephalography dataModerate OSASleep apneaRespiratory eventsApnea patientsDifferential diagnosisSleep stage N1PatientsAutonomic activationStage N1Cortical arousalPathophysiologic traitsOSAMachine learning aided classification of tremor in multiple sclerosis
Hossen A, Anwar A, Koirala N, Ding H, Budker D, Wickenbrock A, Heute U, Deuschl G, Groppa S, Muthuraman M. Machine learning aided classification of tremor in multiple sclerosis. EBioMedicine 2022, 82: 104152. PMID: 35834887, PMCID: PMC9287478, DOI: 10.1016/j.ebiom.2022.104152.Peer-Reviewed Original ResearchReduced Cross-Frequency Coupling and Daytime Sleepiness in Obstructive Sleep Apnea Patients
Gouveris H, Koirala N, Anwar A, Ding H, Ludwig K, Huppertz T, Matthias C, Groppa S, Muthuraman M. Reduced Cross-Frequency Coupling and Daytime Sleepiness in Obstructive Sleep Apnea Patients. Biology 2022, 11: 700. PMID: 35625429, PMCID: PMC9138271, DOI: 10.3390/biology11050700.Peer-Reviewed Original ResearchRespiratory disturbance indexObstructive sleep apneaCortical sensorimotor areasOSA patientsSensorimotor areasRespiratory distressCross-frequency couplingObstructive sleep apnea patientsEpworth Sleepiness ScaleSleep apnea patientsSleep stagesDistinct sleep stagesMotor dysfunctionSleep apneaPatient groupApnea patientsDaytime sleepinessSleepiness ScalePatientsPolysomnography recordingsObjective markersSubjective sleepinessDisturbance indexSleepinessDistressInhibition of the enzyme autotaxin reduces cortical excitability and ameliorates the outcome in stroke
Bitar L, Uphaus T, Thalman C, Muthuraman M, Gyr L, Ji H, Domingues M, Endle H, Groppa S, Steffen F, Koirala N, Fan W, Ibanez L, Heitsch L, Cruchaga C, Lee JM, Kloss F, Bittner S, Nitsch R, Zipp F, Vogt J. Inhibition of the enzyme autotaxin reduces cortical excitability and ameliorates the outcome in stroke. Science Translational Medicine 2022, 14: eabk0135. PMID: 35442704, DOI: 10.1126/scitranslmed.abk0135.Peer-Reviewed Original ResearchConceptsStroke outcomeExperimental strokeGlutamatergic transmissionCortical excitabilityATX concentrationsAstrocyte-specific deletionDifferent time pointsStroke eventsPerisynaptic processesExcess glutamateTherapeutic approachesAnimal modelsTransgenic miceEnzyme autotaxinLPA signalingATX inhibitionPharmacological inhibitionStrokeTranslational potentialTime pointsSingle nucleotide polymorphismsAutotaxinOutcomesExcitabilityInhibitionStructural brain network topological alterations in stuttering adults
Gracco V, Sares A, Koirala N. Structural brain network topological alterations in stuttering adults. Brain Communications 2022, 4: fcac058. PMID: 35368614, PMCID: PMC8971894, DOI: 10.1093/braincomms/fcac058.Peer-Reviewed Original ResearchNetwork alterationsStructural network alterationsPersistent developmental stutteringWide-spread decreasesStructural connectivity differencesNetwork-based statisticsFrontal brain regionsStructural connectomeBrain network propertiesBasal gangliaNeurodevelopmental effectsTopological alterationsSensorimotor networkDevelopmental stutteringPersistent stutteringSensorimotor integrationBrain regionsConnectivity differencesMemory-related functionsWhole-brain structural connectomesAdultsGraph theoretical measuresSpeech disordersSpeech fluencyEffect sizeDeciphering the Network Effects of Deep Brain Stimulation in Parkinson's Disease
Gonzalez-Escamilla G, Koirala N, Bange M, Glaser M, Pintea B, Dresel C, Deuschl G, Muthuraman M, Groppa S. Deciphering the Network Effects of Deep Brain Stimulation in Parkinson's Disease. Neurology And Therapy 2022, 11: 265-282. PMID: 35000133, PMCID: PMC8857357, DOI: 10.1007/s40120-021-00318-4.Peer-Reviewed Original ResearchSupplementary motor areaClinical outcomesParkinson's diseaseDBS locationPostoperative MRIBrain stimulationIntroductionDeep brain stimulationMotor symptom improvementPostoperative clinical outcomesIdiopathic PD patientsPrimary motor cortexOptimal clinical outcomesDeep brain stimulationSTN-DBS outcomesSuperior frontal cortexDBS electrode positionUse of MRIUse of DBSSubcortical volumetryDBS outcomesPD patientsSubcortical targetsSymptom improvementDBS surgeryMotor cortex
2021
Widespread effects of dMRI data quality on diffusion measures in children
Koirala N, Kleinman D, Perdue MV, Su X, Villa M, Grigorenko EL, Landi N. Widespread effects of dMRI data quality on diffusion measures in children. Human Brain Mapping 2021, 43: 1326-1341. PMID: 34799957, PMCID: PMC8837592, DOI: 10.1002/hbm.25724.Peer-Reviewed Original ResearchFrequency-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 levelsStimulationCortexNeurite density and arborization is associated with reading skill and phonological processing in children
Koirala N, Perdue MV, Su X, Grigorenko EL, Landi N. Neurite density and arborization is associated with reading skill and phonological processing in children. NeuroImage 2021, 241: 118426. PMID: 34303796, PMCID: PMC8539928, DOI: 10.1016/j.neuroimage.2021.118426.Peer-Reviewed Original ResearchStructural brain network characteristics in patients with episodic and chronic migraine
Michels L, Koirala N, Groppa S, Luechinger R, Gantenbein A, Sandor P, Kollias S, Riederer F, Muthuraman M. Structural brain network characteristics in patients with episodic and chronic migraine. The Journal Of Headache And Pain 2021, 22: 8. PMID: 33657996, PMCID: PMC7927231, DOI: 10.1186/s10194-021-01216-8.Peer-Reviewed Original Research
2020
Mapping of subthalamic nucleus using microelectrode recordings during deep brain stimulation
Koirala N, Serrano L, Paschen S, Falk D, Anwar A, Kuravi P, Deuschl G, Groppa S, Muthuraman M. Mapping of subthalamic nucleus using microelectrode recordings during deep brain stimulation. Scientific Reports 2020, 10: 19241. PMID: 33159098, PMCID: PMC7648837, DOI: 10.1038/s41598-020-74196-5.Peer-Reviewed Original ResearchConceptsMicroelectrode recordingsBackground activityStereotactic magnetic resonance imagingLow beta frequency rangeDeep brain stimulation surgeryBilateral STN-DBSSide effect ratioDeep brain stimulationBeta frequency rangeMagnetic resonance imagingSTN-DBSAwake patientsLead placementSubthalamic nucleusIntraoperative decisionAnatomical sitesBrain stimulationDBS electrodesOptimal target localizationResonance imagingMaximum spike rateBeta rangeSpike ratePatientsImplantationCross-frequency coupling between gamma oscillations and deep brain stimulation frequency in Parkinson’s disease
Muthuraman M, Bange M, Koirala N, Ciolac D, Pintea B, Glaser M, Tinkhauser G, Brown P, Deuschl G, Groppa S. Cross-frequency coupling between gamma oscillations and deep brain stimulation frequency in Parkinson’s disease. Brain 2020, 143: 3393-3407. PMID: 33150359, PMCID: PMC7116448, DOI: 10.1093/brain/awaa297.Peer-Reviewed Original ResearchConceptsDeep brain stimulationBrain stimulationParkinson's diseaseStimulation frequencyCross-frequency couplingMotor symptomsSubthalamic nucleusGamma oscillationsDeep Brain Stimulation FrequencyOscillatory activityPhysiological neural activityMotor function recoveryEffective deep brain stimulationHigh-frequency stimulationPathological oscillatory activityCross-frequency interactionsCortico-subcortical networksDifferent oscillatory activitiesSymptom controlParietal cortex regionsClinical effectsFunction recoverySymptom alleviationMotor impairmentSubcortical regions