0000000000136830

AUTHOR

Venkata C. Chirumamilla

showing 17 related works from this author

Excitability regulation in the dorsomedial prefrontal cortex during sustained instructed fear responses: a TMS-EEG study

2018

AbstractThreat detection is essential for protecting individuals from adverse situations, in which a network of amygdala, limbic regions and dorsomedial prefrontal cortex (dmPFC) regions are involved in fear processing. Excitability regulation in the dmPFC might be crucial for fear processing, while abnormal patterns could lead to mental illness. Notwithstanding, non-invasive paradigms to measure excitability regulation during fear processing in humans are missing. To address this challenge we adapted an approach for excitability characterization, combining electroencephalography (EEG) and transcranial magnetic stimulation (TMS) over the dmPFC during an instructed fear paradigm, to dynamica…

AdultMalemedicine.medical_treatmentPrefrontal Cortexlcsh:MedicineElectroencephalographyAmygdalaBrain mappingArticle050105 experimental psychologyYoung Adult03 medical and health sciences0302 clinical medicineDorsomedial Prefrontal Cortex ; Fear Paradigm ; TMS-evoked Potentials (TEPs) ; Fear Network ; Fear ProcessingHeart RateReaction TimemedicineHumans0501 psychology and cognitive scienceslcsh:ScienceEvoked PotentialsBrain MappingElectroshockMultidisciplinarymedicine.diagnostic_test05 social scienceslcsh:RHealthy subjectsStructural integrityElectroencephalographyFearDorsomedial prefrontal cortexTranscranial Magnetic StimulationTranscranial magnetic stimulationmedicine.anatomical_structureFemalelcsh:QPsychologyNeuroscience030217 neurology & neurosurgery
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Multifocal Repetitive Transcranial Magnetic Stimulation—A Novel Paradigm in Migraine Treatment

2019

Transcranial Magnetic Stimulation (TMS) is a non-invasive brain stimulation method used for analyzing structural and functional interactions in brain, assess cortical reactivity, and map functionally relevant brain regions inducing a controlled current pulse in a defined region of the cortex. From a clinical point of view, TMS has shown promising results in the therapeutic approach in a large number of psychiatric and neurological conditions such as anxiety, depression, OCD, headache disorders—migraine being one of the most encountered, etc. In patients with migraine, the pharmacologic therapy can be divided in abortive and preventive treatment of the attack. Usually the treatment is starte…

medicine.medical_specialtybusiness.industrymedicine.medical_treatmentStimulationmedicine.diseaseTranscranial magnetic stimulationTherapeutic approachPhysical medicine and rehabilitationMigraineBrain stimulationmedicineAnxietyMigraine treatmentmedicine.symptombusinessDepression (differential diagnoses)
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Increased migraine-free intervals with multifocal repetitive transcranial magnetic stimulation.

2021

Introduction: Episodic migraine is a debilitating condition associated with vast impairments of health, daily living, and life quality. Several prophylactic treatments exist, having a moderate ratio of action related to side effects and therapy costs. Repetitive transcranial magnetic stimulation (rTMS) is an evidence based therapy in several neuropsychiatric conditions, showing robust efficacy in alleviating specific symptoms. However, its efficacy in migraine disorders is unequivocal and might be tightly linked to the applied rTMS protocol. We hypothesized that multifocal rTMS paradigm could improve clinical outcomes in patients with episodic migraine by reducing the number of migraine day…

AdultAuramedicine.medical_treatmentMigraine Disorders50% responder RatesBiophysicsStimulationNeurosciences. Biological psychiatry. NeuropsychiatryPilot Projectslaw.inventionRandomized controlled trialDouble-Blind MethodlawmedicineHumansAdverse effectMigraineBalance (ability)business.industryGeneral NeurosciencePreventionMiddle Agedmedicine.diseaseTranscranial Magnetic StimulationTranscranial magnetic stimulationMultifocal rTMSTreatment OutcomeMigraineAnesthesiaPropensity score matchingMigraine daysQuality of LifeFemaleNeurology (clinical)businessRC321-571Brain stimulation
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Community driven dynamics of oscillatory network responses to threat

2019

AbstractPhysiological responses to threat stimuli involve neural synchronized oscillations in cerebral networks with distinct organization properties. Community architecture within these networks and its dynamic adaptation could play a critical role in achieving optimal physiological responses.Here we applied dynamic network analyses to address the early phases of threat processing at the millisecond level, describing multi-frequency (theta and alpha) integration and basic reorganization properties (flexibility and clustering) that drive physiological responses. We quantified cortical and subcortical network interactions and captured illustrative reconfigurations using community allegiance …

Dynamic network analysisCommunity networkSalience (neuroscience)Computer scienceAllegianceNeuroscience
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revised_supplementary_TAN-18-OR-0100 – Supplemental material for Structural brain network fingerprints of focal dystonia

2019

Supplemental material, revised_supplementary_TAN-18-OR-0100 for Structural brain network fingerprints of focal dystonia by Venkata C. Chirumamilla, Christian Dresel, Nabin Koirala, Gabriel Gonzalez-Escamilla, Günther Deuschl, Kirsten E. Zeuner, Muthuraman Muthuraman and Sergiu Groppa in Therapeutic Advances in Neurological Disorders

FOS: Clinical medicine111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified110904 Neurology and Neuromuscular Diseases
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Excitability regulation in the dorsomedial prefrontal cortex during sustained instructed fear responses: a TMS-EEG study

2018

AbstractBackgroundThreat detection is essential for protecting individuals from precarious situations. Early studies suggested a network of amygdala, limbic regions and dorsomedial prefrontal cortex (dmPFC) involved in fear processing. Excitability regulation in the dmPFC might be crucial for physiological fear processing, while an abnormal excitability pattern could lead to mental illness. Non-invasive paradigms to measure excitability regulation during fear processing in humans are missing.MethodsWe adapted an experimental approach of excitability characterization using electroencephalography (EEG) recordings and transcranial magnetic stimulation (TMS) over the dmPFC during an instructed …

Transcranial magnetic stimulationmedicine.anatomical_structuremedicine.diagnostic_testmedicine.medical_treatmentmedicineHealthy subjectsStructural integrityDorsomedial prefrontal cortexElectroencephalographyPsychologyNeuroscienceAmygdala
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Structural brain network fingerprints of focal dystonia

2019

Background: Focal dystonias are severe and disabling movement disorders of a still unclear origin. The structural brain networks associated with focal dystonia have not been well characterized. Here, we investigated structural brain network fingerprints in patients with blepharospasm (BSP) compared with those with hemifacial spasm (HFS), and healthy controls (HC). The patients were also examined following treatment with botulinum neurotoxin (BoNT). Methods: This study included matched groups of 13 BSP patients, 13 HFS patients, and 13 HC. We measured patients using structural-magnetic resonance imaging (MRI) at baseline and after one month BoNT treatment, at time points of maximal and minim…

Dystoniagraph theory610 Medical sciencesblepharospasm610 Medizinbotulinum neurotoxinlcsh:Neurology. Diseases of the nervous systemlcsh:RC346-429Original ResearchMRIstructural brain networks
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Grey Matter Microstructural Integrity Alterations in Blepharospasm Are Partially Reversed by Botulinum Neurotoxin Therapy.

2016

OBJECTIVE Benign Essential Blepharospasm (BEB) and hemifacial spasm (HFS) are the most common hyperkinetic movement disorders of facial muscles. Although similar in clinical presentation different pathophysiological mechanisms are assumed. Botulinum Neurotoxin (BoNT) is a standard evidence-based treatment for both conditions. In this study we aimed to assess grey matter microstructural differences between these two groups of patients and compared them with healthy controls. In patients we furthermore tracked the longitudinal morphometric changes associated with BoNT therapy. We hypothesized microstructural differences between the groups at the time point of maximum symptoms representation a…

0301 basic medicineCentral Nervous SystemMaleMovement disordersBotulinum ToxinsBlepharospasmlcsh:MedicineToxicologyPathology and Laboratory MedicineNervous SystemDiagnostic Radiology0302 clinical medicineMaterials PhysicsMedicine and Health SciencesToxinsLongitudinal StudiesGray Matterlcsh:ScienceMicrostructureMultidisciplinaryMovement DisordersRadiology and ImagingPhysicsMotor CortexBrainNeurodegenerative DiseasesAnatomyMiddle AgedMagnetic Resonance ImagingPathophysiologyBotulinum neurotoxinFacial musclesDystoniamedicine.anatomical_structureTreatment OutcomeNeurologyPhysical SciencesFemalePrimary motor cortexmedicine.symptomAnatomyResearch ArticleAdultmedicine.medical_specialtyImaging TechniquesBlepharospasmToxic AgentsBacterial ToxinsMaterials ScienceBotulinum ToxinGrey matterResearch and Analysis Methods03 medical and health sciencesDiagnostic MedicineOphthalmologymedicineHumansHemifacial SpasmDemographyAgedbusiness.industrylcsh:RBiology and Life SciencesCorrectionmedicine.disease030104 developmental biologyCross-Sectional StudiesFacePeople and Placeslcsh:QbusinessHead030217 neurology & neurosurgeryHemifacial spasmPloS one
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Primary Sensorimotor Cortex Drives the Common Cortical Network for Gamma Synchronization in Voluntary Hand Movements

2018

Background: Gamma synchronization (GS) may promote the processing between functionally related cortico-subcortical neural populations. Our aim was to identify the sources of GS and to analyze the direction of information flow in cerebral networks at the beginning of phasic movements, and during medium-strength isometric contraction of the hand. Methods: We measured 64-channel electroencephalography in 11 healthy volunteers (age: 25 ± 8 years; four females); surface electromyography detected the movements of the dominant hand. In Task 1, subjects kept a constant medium-strength contraction of the first dorsal interosseus muscle, and performed a superimposed repetitive voluntary self-paced br…

0301 basic medicineThalamusPosterior parietal cortexIsometric exerciseElectromyographyElectroencephalographylcsh:RC321-57103 medical and health sciencesBehavioral Neuroscience0302 clinical medicinedirectionalitymedicinelcsh:Neurosciences. Biological psychiatry. NeuropsychiatryBiological PsychiatryOriginal ResearchPhysicsgamma synchronizationmedicine.diagnostic_testhand movementsSMA*Dorsolateral prefrontal cortexPsychiatry and Mental health030104 developmental biologyNeuropsychology and Physiological Psychologymedicine.anatomical_structureNeurologyconnectivitynetworkNeuroscience030217 neurology & neurosurgeryNeuroscienceMotor cortexFrontiers in Human Neuroscience
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Combining transcranial magnetic stimulation and subdural electrodes for pain modulation

2017

Pain modulationbusiness.industrymedicine.medical_treatment05 social sciencesPainSubdural SpaceTranscranial Magnetic Stimulation050105 experimental psychologySensory SystemsTranscranial magnetic stimulation03 medical and health sciences0302 clinical medicineText miningNeurologyPhysiology (medical)AnesthesiamedicineHumans0501 psychology and cognitive sciencesNeurology (clinical)businessSubdural electrodesElectrodes030217 neurology & neurosurgeryClinical Neurophysiology
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Establishing and validating a new source analysis method using phase.

2017

Electroencephalogram (EEG) measures the brain oscillatory activity non-invasively. The localization of deep brain generators of the electric fields is essential for understanding neuronal function in healthy humans and for damasking specific regions that cause abnormal activity in patients with neurological disorders. The aim of this study was to test whether the phase estimation from scalp data can be reliably used to identify the number of dipoles in source analyses. The steps performed included: i) modeling different phasic oscillatory signals using auto-regressive processes at a particular frequency, ii) simulation of two different noises, namely white and colored noise, having differen…

0301 basic medicinePhase (waves)ElectroencephalographySignal-To-Noise RatioTemporal lobe03 medical and health sciencesEpilepsy0302 clinical medicineSignal-to-noise ratiomedicineHumansAnalysis methodBrain Mappingmedicine.diagnostic_testbusiness.industryBrainPattern recognitionElectroencephalographymedicine.disease030104 developmental biologymedicine.anatomical_structureEpilepsy Temporal LobeColors of noiseScalpArtificial intelligencePsychologybusinessNeuroscience030217 neurology & neurosurgeryAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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Translation of Functional Domain Abnormalities from Human to Mouse Motor System

2021

Computer scienceMotor systemTranslation (biology)NeuroscienceDomain (software engineering)
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Functional connectivity analysis using whole brain and regional network metrics in MS patients

2016

In the present study we investigated brain network connectivity differences between patients with relapsing-remitting multiple sclerosis (RRMS) and healthy controls (HC) as derived from functional resonance magnetic imaging (fMRI) using graph theory. Resting state fMRI data of 18 RRMS patients (12 female, mean age ± SD: 42 ± 12.06 years) and 25 HC (8 female, 29.2 ± 5.38 years) were analyzed. In order to obtain information of differences in entire brain network, we focused on both, local and global network connectivity parameters. And the regional connectivity differences were assessed using regional network parameters. RRMS patients presented a significant increase of modularity in comparis…

AdultMaleModularity (networks)Resting state fMRIInformation processingBrainCognitionSuperior parietal lobuleMiddle AgedMagnetic Resonance Imaging030218 nuclear medicine & medical imagingCorrelation03 medical and health sciencesMultiple Sclerosis Relapsing-Remitting0302 clinical medicineImage Processing Computer-AssistedHumansFemaleNerve NetPsychologyInsulaNeuroscience030217 neurology & neurosurgeryClustering coefficient2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Supplementary_Figure_2 – Supplemental material for Structural brain network fingerprints of focal dystonia

2019

Supplemental material, Supplementary_Figure_2 for Structural brain network fingerprints of focal dystonia by Venkata C. Chirumamilla, Christian Dresel, Nabin Koirala, Gabriel Gonzalez-Escamilla, Günther Deuschl, Kirsten E. Zeuner, Muthuraman Muthuraman and Sergiu Groppa in Therapeutic Advances in Neurological Disorders

FOS: Clinical medicine111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified110904 Neurology and Neuromuscular Diseases
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sup1_inks_jpg – Supplemental material for Structural brain network fingerprints of focal dystonia

2019

Supplemental material, sup1_inks_jpg for Structural brain network fingerprints of focal dystonia by Venkata C. Chirumamilla, Christian Dresel, Nabin Koirala, Gabriel Gonzalez-Escamilla, Günther Deuschl, Kirsten E. Zeuner, Muthuraman Muthuraman and Sergiu Groppa in Therapeutic Advances in Neurological Disorders

FOS: Clinical medicine111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified110904 Neurology and Neuromuscular Diseases
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Supp1_jpg – Supplemental material for Structural brain network fingerprints of focal dystonia

2019

Supplemental material, Supp1_jpg for Structural brain network fingerprints of focal dystonia by Venkata C. Chirumamilla, Christian Dresel, Nabin Koirala, Gabriel Gonzalez-Escamilla, Günther Deuschl, Kirsten E. Zeuner, Muthuraman Muthuraman and Sergiu Groppa in Therapeutic Advances in Neurological Disorders

FOS: Clinical medicine111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified110904 Neurology and Neuromuscular Diseases
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Supp_figure_3_inkscape_png_jpg – Supplemental material for Structural brain network fingerprints of focal dystonia

2019

Supplemental material, Supp_figure_3_inkscape_png_jpg for Structural brain network fingerprints of focal dystonia by Venkata C. Chirumamilla, Christian Dresel, Nabin Koirala, Gabriel Gonzalez-Escamilla, Günther Deuschl, Kirsten E. Zeuner, Muthuraman Muthuraman and Sergiu Groppa in Therapeutic Advances in Neurological Disorders

FOS: Clinical medicine111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified110904 Neurology and Neuromuscular Diseases
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