Cortical network fingerprints predict deep brain stimulation outcome in dystonia
Gonzalez‐Escamilla G, Muthuraman M, Reich M, Koirala N, Riedel C, Glaser M, Lange F, Deuschl G, Volkmann J, Groppa S. Cortical network fingerprints predict deep brain stimulation outcome in dystonia. Movement Disorders 2019, 34: 1537-1546. PMID: 31433874, DOI: 10.1002/mds.27808.Peer-Reviewed Original ResearchConceptsDeep brain stimulationModerate-outcome groupDystonia patientsEffective evidence-based therapySuperior-outcome groupGlobus pallidus internusGrey matter atrophy patternsEvidence-based therapiesBrain network organizationClinical responseCortical atrophyDBS outcomesIndependent predictorsMotor improvementMulticenter cohortDBS implantationAtrophy patternsPreoperative MRITherapy responseVisuomotor areasCortical thicknessBrain stimulationCortical mantlePatientsUnequivocal predictorsLongitudinal cortical network reorganization in early relapsing–remitting multiple sclerosis
Fleischer V, Koirala N, Droby A, Gracien R, Deichmann R, Ziemann U, Meuth S, Muthuraman M, Zipp F, Groppa S. Longitudinal cortical network reorganization in early relapsing–remitting multiple sclerosis. Therapeutic Advances In Neurological Disorders 2019, 12: 1756286419838673. PMID: 31040880, PMCID: PMC6482642, DOI: 10.1177/1756286419838673.Peer-Reviewed Original ResearchRelapsing-remitting MSEarly relapsing-remitting MSHealthy controlsDisease activityEarly relapsing-remitting multiple sclerosisLongitudinal brain volume changesRelapsing-remitting multiple sclerosisCortical atrophy patternsStructural cortical networksPatients' disease activityNetwork reorganizationBrain volume changesClinical disease manifestationsDetectable atrophyMultiple sclerosisAtrophy patternsDisease manifestationsAtrophy measurementsCortical responsesGray matter networksBrain functionPatientsT MRICortical networksGraph theoretical analysis