FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2626267848> ?p ?o ?g. }

• W2626267848 endingPage "1116" @default.
• W2626267848 startingPage "1115" @default.
• W2626267848 abstract "As an immigrant from Nigeria, I was fortunate to have the opportunity to come to the United States to study mathematics and computational neuroscience at the University of Chicago. I received my Ph.D. in biomedical engineering from the Illinois Institute of Technology in January 2016 under the mentorship of Dr. David Mogul. My Ph.D. dissertation focused on understanding synchrony dynamics in brain networks (specifically the thalamus and hippocampus) as seizures evolve, and leveraging this information to disrupt seizures with targeted electrical stimulation. In February 2016, I started my postdoctoral training, where I am working to expand the range of the studied network to include additional relevant brain structures, investigate how well results in the animal studies translate to humans, and gain a better understanding of the mechanisms underlying the experimental results through the use of computational models. During my undergraduate training at the University of Chicago, my first encounter with epilepsy research was a conversation with Dr. Wim van Drongelen. I was fascinated by the fact that a sizeable portion (about one third) of all epilepsy patients do not respond to medication, and the need for alternative therapeutics. I would later learn in Dr. Mogul's lab of the use of deep brain stimulation (DBS) to treat epilepsy; however, most implementations of DBS have shown disappointing efficacy. We believe this might be due in part to the way stimulation parameters are selected a priori. I am optimistic that a precise, deterministic set of stimulation protocols based on multisite network behavior tailored for each patient will permit targeted therapeutic modulation of activity within the brain with significantly better efficacy. Deep brain electrical stimulation (DBS) is a treatment modality being explored for many neurologic diseases and is a potentially potent means of disrupting the aberrant rhythms that arise during epileptic seizures. Unfortunately, current DBS protocols typically employed are formulated a priori and do not reflect the electrophysiologic dynamics within the brain as seizures arise, which may underlie their limited efficacy. We believe stimulation should be informed by brain dynamics. Previous work from our lab has demonstrated key thalamohippocampal synchrony at distinct frequency ranges associated with spontaneous seizure initiation and natural termination in an in vivo rodent temporal lobe epilepsy (TLE) model. In this study, multisite square pulses of biphasic stimulation with varying frequencies were tested for their effectiveness in terminating seizures in multiple animals. In each animal, we used nontraditional signal analysis of deep brain electrophysiologic recordings to analyze the network for key dynamics associated with seizures. The frequency of stimulation that matched its own frequency of synchronization at natural seizure termination repeatedly showed the highest efficacy in arresting brain seizures. We found that synchronization of electrical activity across the thalamus and the hippocampus occurred as both spontaneous and evoked seizures naturally terminated. The location and frequency of the synchrony varied between subjects but was stable in time within each animal (up to 5 months). DBS protocols were significantly more effective at rapidly stopping seizures when the frequency and location of multisite stimulation reflected the endogenous synchrony dynamics observed in each subject as seizures naturally terminated. In fact, video behavioral recordings of the rats showed that seizures often terminated well before the end of the 10 s therapeutic stimulation period. These findings support the approach of tailoring DBS protocols to individual endogenous rhythms that may represent how brains naturally resolve epileptic seizures. This approach may significantly improve the overall efficacy of this potentially important therapy. I would like to continue to study the network dynamics in the brain underlying seizure and epilepsy development, to improve the understanding of the mechanisms that govern the disease. I have helped to assist our laboratory in re-engineering the experimental system to increase the number of recording/stimulation sites bilaterally in the rat brain. My hope is that these studies will lead to improvements in the development of therapeutics for the treatment of intractable seizures and provide a better understanding of how network activity in the brain is a critical factor in seizure evolution. My career goal is to be an independent investigator at a research institution, where I aspire to contribute to the advancement of the epilepsy field through basic and translational neuroscience research and inspire the next generation of young scientists interested in the field of epilepsy research. I am very honored to receive the 2017 Epilepsia Prize for Basic Science Research. As a young scientist in the early stages of my career, this prestigious award is an encouragement to continue to work hard and gives me great confidence that I can make meaningful contributions to the field of epilepsy. I would like to thank my mentor, David Mogul. Without his help and guidance, this study would not have been possible. Finally, this award signifies the high caliber of biomedical research being performed at the Illinois Institute of Technology." @default.
• W2626267848 created "2017-06-23" @default.
• W2626267848 creator A5004620817 @default.
• W2626267848 creator A5056220869 @default.
• W2626267848 creator A5068699786 @default.
• W2626267848 date "2017-06-14" @default.
• W2626267848 modified "2023-10-18" @default.
• W2626267848 title "An interview with Tiwalade Sobayo, 2017 Epilepsia Prize Winner for Basic Science Research" @default.
• W2626267848 doi "https://doi.org/10.1111/epi.13790" @default.
• W2626267848 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28677858" @default.
• W2626267848 hasPublicationYear "2017" @default.
• W2626267848 type Work @default.
• W2626267848 sameAs 2626267848 @default.
• W2626267848 citedByCount "0" @default.
• W2626267848 crossrefType "journal-article" @default.
• W2626267848 hasAuthorship W2626267848A5004620817 @default.
• W2626267848 hasAuthorship W2626267848A5056220869 @default.
• W2626267848 hasAuthorship W2626267848A5068699786 @default.
• W2626267848 hasBestOaLocation W26262678481 @default.
• W2626267848 hasConcept C142724271 @default.
• W2626267848 hasConcept C15744967 @default.
• W2626267848 hasConcept C169760540 @default.
• W2626267848 hasConcept C177264268 @default.
• W2626267848 hasConcept C188147891 @default.
• W2626267848 hasConcept C199360897 @default.
• W2626267848 hasConcept C24998067 @default.
• W2626267848 hasConcept C2776535583 @default.
• W2626267848 hasConcept C2777200299 @default.
• W2626267848 hasConcept C2778186239 @default.
• W2626267848 hasConcept C2778542668 @default.
• W2626267848 hasConcept C2779134260 @default.
• W2626267848 hasConcept C2779734285 @default.
• W2626267848 hasConcept C2985799443 @default.
• W2626267848 hasConcept C41008148 @default.
• W2626267848 hasConcept C46312422 @default.
• W2626267848 hasConcept C509550671 @default.
• W2626267848 hasConcept C71924100 @default.
• W2626267848 hasConceptScore W2626267848C142724271 @default.
• W2626267848 hasConceptScore W2626267848C15744967 @default.
• W2626267848 hasConceptScore W2626267848C169760540 @default.
• W2626267848 hasConceptScore W2626267848C177264268 @default.
• W2626267848 hasConceptScore W2626267848C188147891 @default.
• W2626267848 hasConceptScore W2626267848C199360897 @default.
• W2626267848 hasConceptScore W2626267848C24998067 @default.
• W2626267848 hasConceptScore W2626267848C2776535583 @default.
• W2626267848 hasConceptScore W2626267848C2777200299 @default.
• W2626267848 hasConceptScore W2626267848C2778186239 @default.
• W2626267848 hasConceptScore W2626267848C2778542668 @default.
• W2626267848 hasConceptScore W2626267848C2779134260 @default.
• W2626267848 hasConceptScore W2626267848C2779734285 @default.
• W2626267848 hasConceptScore W2626267848C2985799443 @default.
• W2626267848 hasConceptScore W2626267848C41008148 @default.
• W2626267848 hasConceptScore W2626267848C46312422 @default.
• W2626267848 hasConceptScore W2626267848C509550671 @default.
• W2626267848 hasConceptScore W2626267848C71924100 @default.
• W2626267848 hasIssue "7" @default.
• W2626267848 hasLocation W26262678481 @default.
• W2626267848 hasLocation W26262678482 @default.
• W2626267848 hasOpenAccess W2626267848 @default.
• W2626267848 hasPrimaryLocation W26262678481 @default.
• W2626267848 hasRelatedWork W1784353025 @default.
• W2626267848 hasRelatedWork W1909924204 @default.
• W2626267848 hasRelatedWork W1987930903 @default.
• W2626267848 hasRelatedWork W2085448400 @default.
• W2626267848 hasRelatedWork W2138251100 @default.
• W2626267848 hasRelatedWork W2412368354 @default.
• W2626267848 hasRelatedWork W2748952813 @default.
• W2626267848 hasRelatedWork W2899084033 @default.
• W2626267848 hasRelatedWork W105379328 @default.
• W2626267848 hasRelatedWork W3151437371 @default.
• W2626267848 hasVolume "58" @default.
• W2626267848 isParatext "false" @default.
• W2626267848 isRetracted "false" @default.
• W2626267848 magId "2626267848" @default.
• W2626267848 workType "article" @default.