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 parametersDynamic 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 underpinningsGroup
2019
Alterations in White Matter Network and Microstructural Integrity Differentiate Parkinson’s Disease Patients and Healthy Subjects
Koirala N, Anwar A, Ciolac D, Glaser M, Pintea B, Deuschl G, Muthuraman M, Groppa S. Alterations in White Matter Network and Microstructural Integrity Differentiate Parkinson’s Disease Patients and Healthy Subjects. Frontiers In Aging Neuroscience 2019, 11: 191. PMID: 31404311, PMCID: PMC6676803, DOI: 10.3389/fnagi.2019.00191.Peer-Reviewed Original ResearchPD patientsHealthy subject groupParkinson's diseaseNetwork-based statisticsDisease patientsHealthy controlsHealthy subjectsWhite matterMiddle-aged healthy controlsNetwork alterationsProbabilistic tractography analysisParkinson's disease patientsWhite matter changesSubject groupsWhite matter microstructural integrityElderly healthy controlsDistinct brain areasPD pathophysiologyWhite matter networksCorticospinal tractCorpus callosumCorona radiataMatter changesPatientsBrain areas