Orrin Devinsky
New York University
H-index: 126
North America-United States
Description
Orrin Devinsky, With an exceptional h-index of 126 and a recent h-index of 74 (since 2020), a distinguished researcher at New York University, specializes in the field of Neurology, Epilepsy, Behavior, Cognition, Genetics.
His recent articles reflect a diverse array of research interests and contributions to the field:
Correction to “Long-term efficacy and safety of cannabidiol in patients with treatment-resistant epilepsies: Four-year results from the expanded access program”
The past, present, and future of the brain imaging data structure (BIDS)
Video analyses of sudden unexplained deaths in toddlers
A neural speech decoding framework leveraging deep learning and speech synthesis
Placebo response in patients with Dravet syndrome: Post-hoc analysis of two clinical trials
The role of copy number variants in the genetic architecture of common familial epilepsies
Discovery of novel compounds and target mechanisms using a high throughput, multiparametric phenotypic screen in a human neuronal model of Tuberous Sclerosis
Idiopathic Generalized Epilepsy: Misunderstandings, Challenges, and Opportunities
Professor Information
University | New York University |
---|---|
Position | ___ |
Citations(all) | 68206 |
Citations(since 2020) | 30065 |
Cited By | 50546 |
hIndex(all) | 126 |
hIndex(since 2020) | 74 |
i10Index(all) | 682 |
i10Index(since 2020) | 480 |
University Profile Page | New York University |
Research & Interests List
Neurology
Epilepsy
Behavior
Cognition
Genetics
Top articles of Orrin Devinsky
Correction to “Long-term efficacy and safety of cannabidiol in patients with treatment-resistant epilepsies: Four-year results from the expanded access program”
Szaflarski JP, Devinsky O, Lopez M, Park YD, Zentil PP, Patel AD, et al. Long-term efficacy and safety of cannabidiol in patients with treatment-resistant epilepsies: Four-year results from the expanded access program. Epilepsia. 2023; 64: 619–629. https://doi. org/10. 1111/epi. 17496.In the Results section, 3.1 Patients, it reads “The median age of patients was 13.5 years (range= 0–74.5) in the safety analysis set and 11.8 years (range= 0–74.5) in the efficacy analysis set.” This should have read “The median age of patients was 11.8 years (range= 0–74.5) in the safety analysis set and 11.7 years (range= 0–74.5) in the efficacy analysis set.”
Authors
JP Szaflarski,O Devinsky,M Lopez,YD Park,PP Zentil,AD Patel
Published Date
2024
The past, present, and future of the brain imaging data structure (BIDS)
The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is meant as a history of how the standard has developed and grown over time. We outline the principles behind the project, the mechanisms by which it has been extended, and some of the challenges being addressed as it evolves. We also discuss the lessons learned through the project, with the aim of enabling researchers in other domains to learn from the success of BIDS.
Authors
Russell A Poldrack,Christopher J Markiewicz,Stefan Appelhoff,Yoni K Ashar,Tibor Auer,Sylvain Baillet,Shashank Bansal,Leandro Beltrachini,Christian G Benar,Giacomo Bertazzoli,Suyash Bhogawar,Ross W Blair,Marta Bortoletto,Mathieu Boudreau,Teon L Brooks,Vince D Calhoun,Filippo Maria Castelli,Patricia Clement,Alexander L Cohen,Julien Cohen-Adad,Sasha d’Ambrosio,Gilles de Hollander,María de la Iglesia-Vayá,Alejandro de la Vega,Arnaud Delorme,Orrin Devinsky,Dejan Draschkow,Eugene Paul Duff,Elizabeth DuPre,Eric Earl,Oscar Esteban,Franklin W Feingold,Guillaume Flandin,Anthony Galassi,Giuseppe Gallitto,Melanie Ganz,Rémi Gau,James Gholam,Satrajit S Ghosh,Alessio Giacomel,Ashley G Gillman,Padraig Gleeson,Alexandre Gramfort,Samuel Guay,Giacomo Guidali,Yaroslav O Halchenko,Daniel A Handwerker,Nell Hardcastle,Peer Herholz,Dora Hermes,Christopher J Honey,Robert B Innis,Horea-Ioan Ioanas,Andrew Jahn,Agah Karakuzu,David B Keator,Gregory Kiar,Balint Kincses,Angela R Laird,Jonathan C Lau,Alberto Lazari,Jon Haitz Legarreta,Adam Li,Xiangrui Li,Bradley C Love,Hanzhang Lu,Eleonora Marcantoni,Camille Maumet,Giacomo Mazzamuto,Steven L Meisler,Mark Mikkelsen,Henk Mutsaerts,Thomas E Nichols,Aki Nikolaidis,Gustav Nilsonne,Guiomar Niso,Martin Norgaard,Thomas W Okell,Robert Oostenveld,Eduard Ort,Patrick J Park,Mateusz Pawlik,Cyril R Pernet,Franco Pestilli,Jan Petr,Christophe Phillips,Jean-Baptiste Poline,Luca Pollonini,Pradeep Reddy Raamana,Petra Ritter,Gaia Rizzo,Kay A Robbins,Alexander P Rockhill,Christine Rogers,Ariel Rokem,Chris Rorden,Alexandre Routier,Jose Manuel Saborit-Torres,Taylor Salo,Michael Schirner,Robert E Smith,Tamas Spisak,Julia Sprenger,Nicole C Swann,Martin Szinte,Sylvain Takerkart,Bertrand Thirion,Adam G Thomas,Sajjad Torabian,Gael Varoquaux,Bradley Voytek,Julius Welzel,Martin Wilson,Tal Yarkoni,Krzysztof J Gorgolewski
Journal
Imaging Neuroscience
Published Date
2024/3/8
Video analyses of sudden unexplained deaths in toddlers
Background and ObjectivesMore than 2,900 US children aged younger than 4 years die from unknown causes each year, accounting for more than 219,000 life years lost annually. They are mostly sleep-related and unwitnessed with unremarkable autopsies, limiting our understanding of death mechanisms. We sought to understand potential mechanisms of death by evaluating videos of sudden deaths in toddlers.MethodsIn our registry of 301 sudden unexplained child deaths, a series of 7 consecutively enrolled cases with home video recordings of the child's last sleep period were independently assessed by 8 physicians for video quality, movement, and sound.ResultsFour boys and 3 girls (13–27 months at death) with terminal videos shared similar demographic features to the 293 other registry cases without video recordings. Five video recordings were continuous and 2 were triggered by sound or motion. Two …
Authors
Laura Gould,Codi-Ann Reid,Alcibiades J Rodriguez,Orrin Devinsky,SUDC Video Working Group
Journal
Neurology
Published Date
2024/2/13
A neural speech decoding framework leveraging deep learning and speech synthesis
Decoding human speech from neural signals is essential for brain–computer interface (BCI) technologies that aim to restore speech in populations with neurological deficits. However, it remains a highly challenging task, compounded by the scarce availability of neural signals with corresponding speech, data complexity and high dimensionality. Here we present a novel deep learning-based neural speech decoding framework that includes an ECoG decoder that translates electrocorticographic (ECoG) signals from the cortex into interpretable speech parameters and a novel differentiable speech synthesizer that maps speech parameters to spectrograms. We have developed a companion speech-to-speech auto-encoder consisting of a speech encoder and the same speech synthesizer to generate reference speech parameters to facilitate the ECoG decoder training. This framework generates natural-sounding …
Authors
Xupeng Chen,Ran Wang,Amirhossein Khalilian-Gourtani,Leyao Yu,Patricia Dugan,Daniel Friedman,Werner Doyle,Orrin Devinsky,Yao Wang,Adeen Flinker
Journal
Nature Machine Intelligence
Published Date
2024/4/8
Placebo response in patients with Dravet syndrome: Post-hoc analysis of two clinical trials
ObjectiveDravet syndrome is a rare, early childhood-onset epileptic and developmental encephalopathy. Responses to placebo in clinical trials for epilepsy therapies range widely, but factors influencing placebo response remain poorly understood. This study explored placebo response and its effects on safety, efficacy, and quality of life outcomes in patients with Dravet syndrome.MethodsWe performed exploratory post-hoc analyses of pooled data from placebo-treated patients from the GWPCARE 1B and GWPCARE 2 randomized controlled phase III trials, comparing cannabidiol and matched placebo in 2–18 year old Dravet syndrome patients. All patients had ≥4 convulsive seizures during a baseline period of 4 weeks.Results124 Dravet syndrome-treated patients were included in the analysis (2–5 years: n = 35; 6–12 years: n = 52; 13–18 years: n = 37). Convulsive seizures were experienced by all placebo …
Authors
Orrin Devinsky,Kerry Hyland,Rachael Loftus,Charlotte Nortvedt,Rima Nabbout
Journal
Epilepsy & Behavior
Published Date
2024/7/1
The role of copy number variants in the genetic architecture of common familial epilepsies
Objective Copy number variants (CNVs) contribute to genetic risk and genetic etiology of both rare and common epilepsies. Whereas many studies have explored the role of CNVs in sporadic or severe cases, fewer have been done in familial generalized and focal epilepsies. Methods We analyzed exome sequence data from 267 multiplex families and 859 first‐degree relative pairs with a diagnosis of genetic generalized epilepsies or nonacquired focal epilepsies to predict CNVs. Validation and segregation studies were performed using an orthogonal method when possible. Results We identified CNVs likely to contribute to epilepsy risk or etiology in the probands of 43 of 1116 (3.9%) families, including known recurrent CNVs (16p13.11 deletion, 15q13.3 deletion, 15q11.2 deletion, 16p11.2 duplication, 1q21.1 duplication, and 5‐Mb duplication of 15q11q13). We also identified CNVs affecting monogenic …
Authors
Epi4K Consortium,Edith P Almanza Fuerte,John Nguyen,Michelle Mehaffey,Arvis Sulovari,Tianyun Wang,Miranda Galey,Danny E Miller,Evan E Eichler,Heather C Mefford,Bassel Abou‐Khalil,Zaid Afawi Afawi,Andrew S Allen,Dina Amrom,Eva Andermann,Jocelyn F Bautista,Susannah T Bellows,Samuel F Berkovic,Judith Bluvstein,Alexis Boro,Rosemary Burgess,Gregory D Cascino,Seo‐Kyung Chung,Damian Consalvo,Patrick Cossette,Douglas E Crompton,Patricia Crumrine,Sarah W Curtis,Norman Delanty,Orrin Devinsky,Dennis Dlugos,Colin A Ellis,Michael P Epstein,Miguel Fiol,Nathan B Fountain,Catharine Freyer,Dan Friedman,Eric B Geller,Tracy Glauser,Simon Glynn,David B Goldstein,Micheline Gravel,Kevin Haas,Rebekah V Harris,Sheryl Haut,Erin L Heinzen,Sandra Helmers,Olivia J Henry,Sucheta Joshi,Heidi E Kirsch,Sara Kivity,Robert C Knowlton,Eric Kossoff,Ruben Kuzniecky,Rebecca Loeb,Daniel H Lowenstein,Anthony G Marson,Mark McCormack,Shannon M McGuire,Kevin McKenna,Paul V Motika,Saul A Mullen,Edward J Novotny,Terence J O’Brien,Karen L Oliver,Ruth Ottman,Juliann M Paolicchi,Jack M Parent,Kristen L Park,Sarah J Paterson,Slave Petrovski,William O Pickrell,Annapurna Poduri,Mark I Rees,Lynette G Sadleir,Ingrid E Scheffer,Renee A Shellhaas,Elliott H Sherr,Jerry J Shih,Shlomo Shinnar,Rani K Singh,Joseph Sirven,Michael C Smith,Philip EM Smith,Michael R Sperling,Joseph Sullivan,Liu Lin Thio,Rhys H Thomas,Anu Venkat,Eileen PG Vining,Gretchen K Von Allmen,Judith Weisenberg,Peter Widdess‐Walsh,Melodie R Winawer
Journal
Epilepsia
Published Date
2024/3
Discovery of novel compounds and target mechanisms using a high throughput, multiparametric phenotypic screen in a human neuronal model of Tuberous Sclerosis
Tuberous sclerosis complex (TSC) is a rare genetic disorder caused by mutations in the mTOR pathway genes TSC1 or TSC2. TSC can affect multiple organs including the brain, and most patients (75-90%) present with seizures during early childhood and intractable epilepsy throughout life. mTOR inhibitors, part of the current standard of care, lack the optimal characteristics to fully address patient phenotypes. Here, we report on the application of our all-optical electrophysiology platform for phenotypic screening in a human neuronal model of TSC. We used CRISPR/Cas9-isogenic TSC2-/- iPS cell lines to identify disease-associated changes to neuronal morphology, transcript expression and neuronal excitability. We established a robust multiparametric electrophysiological phenotype which we then validated in TSC patient-derived neurons. We used this phenotype to conduct a screen of ~30,000 small molecule compounds in human iPS cell-derived neurons and identified chemical scaffolds that rescued the functional TSC disease parameters. Confirmed hits may act via different mechanisms than direct mTOR pathway inhibition. This strategy provides molecular starting points for therapeutic development in TSC and a framework for phenotype discovery and drug screening in other neurological disorders.
Authors
Luis A Williams,Steven J Ryan,Vaibhav Joshi,Caitlin Lewarch,Amy Elder,Owen McManus,Patrice Godard,Srinidhi Sridhar,Jane Jacques,Jennifer Grooms,James J Fink,Hongkang Zhang,Michel Gillard,Cecile Pegurier,Yogesh Sabnis,Veronique Andre,Lucinda Steward,Stefanie Dedeurwaerdere,Orrin Devinsky,Christian Wolff,Graham T Dempsey
Journal
bioRxiv
Published Date
2024
Idiopathic Generalized Epilepsy: Misunderstandings, Challenges, and Opportunities
The idiopathic generalized epilepsies (IGE) make up a fifth of all epilepsies, but <1% of epilepsy research. This skew reflects misperceptions: diagnosis is straightforward, pathophysiology is understood, seizures are easily controlled, epilepsy is outgrown, morbidity and mortality are low, and surgical interventions are impossible. Emerging evidence reveals that patients with IGE may go undiagnosed or misdiagnosed with focal epilepsy if EEG or semiology have asymmetric or focal features. Genetic, electrophysiologic, and neuroimaging studies provide insights into pathophysiology, including overlaps and differences from focal epilepsies. IGE can begin in adulthood and patients have chronic and drug-resistant seizures. Neuromodulatory interventions for drug-resistant IGE are emerging. Rates of psychiatric and other comorbidities, including sudden unexpected death in epilepsy, parallel those in focal epilepsy. IGE …
Authors
Orrin Devinsky,Christopher Elder,Shobi Sivathamboo,Ingrid E Scheffer,Matthias J Koepp
Published Date
2024/2/13
Professor FAQs
What is Orrin Devinsky's h-index at New York University?
The h-index of Orrin Devinsky has been 74 since 2020 and 126 in total.
What are Orrin Devinsky's top articles?
The articles with the titles of
Correction to “Long-term efficacy and safety of cannabidiol in patients with treatment-resistant epilepsies: Four-year results from the expanded access program”
The past, present, and future of the brain imaging data structure (BIDS)
Video analyses of sudden unexplained deaths in toddlers
A neural speech decoding framework leveraging deep learning and speech synthesis
Placebo response in patients with Dravet syndrome: Post-hoc analysis of two clinical trials
The role of copy number variants in the genetic architecture of common familial epilepsies
Discovery of novel compounds and target mechanisms using a high throughput, multiparametric phenotypic screen in a human neuronal model of Tuberous Sclerosis
Idiopathic Generalized Epilepsy: Misunderstandings, Challenges, and Opportunities
...
are the top articles of Orrin Devinsky at New York University.
What are Orrin Devinsky's research interests?
The research interests of Orrin Devinsky are: Neurology, Epilepsy, Behavior, Cognition, Genetics
What is Orrin Devinsky's total number of citations?
Orrin Devinsky has 68,206 citations in total.
What are the co-authors of Orrin Devinsky?
The co-authors of Orrin Devinsky are Bruce Hermann, Kimford Meador, Jacqueline French, Sydney S. Cash, Joseph R. Madsen, Benjamin J. Whalley.