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Temporal dynamics of short-term neural adaptation across human visual cortex

Brands, Amber Marijn; Devore, Sasha; Devinsky, Orrin; Doyle, Werner; Flinker, Adeen; Friedman, Daniel; Dugan, Patricia; Winawer, Jonathan; Groen, Iris Isabelle Anna
Neural responses in visual cortex adapt to prolonged and repeated stimuli. While adaptation occurs across the visual cortex, it is unclear how adaptation patterns and computational mechanisms differ across the visual hierarchy. Here we characterize two signatures of short-term neural adaptation in time-varying intracranial electroencephalography (iEEG) data collected while participants viewed naturalistic image categories varying in duration and repetition interval. Ventral- and lateral-occipitotemporal cortex exhibit slower and prolonged adaptation to single stimuli and slower recovery from adaptation to repeated stimuli compared to V1-V3. For category-selective electrodes, recovery from adaptation is slower for preferred than non-preferred stimuli. To model neural adaptation we augment our delayed divisive normalization (DN) model by scaling the input strength as a function of stimulus category, enabling the model to accurately predict neural responses across multiple image categories. The model fits suggest that differences in adaptation patterns arise from slower normalization dynamics in higher visual areas interacting with differences in input strength resulting from category selectivity. Our results reveal systematic differences in temporal adaptation of neural population responses between lower and higher visual brain areas and show that a single computational model of history-dependent normalization dynamics, fit with area-specific parameters, accounts for these differences.
PMID: 38815000
ISSN: 1553-7358
CID: 5663772

The influence of risk factors, biomarkers and care settings on SUDEP counseling

Valdrighi, Alexandria; Laze, Juliana; Farooque, Pue; Friedman, Daniel; Devinsky, Orrin; Singhal, Nilika; Hegde, Manu
Although sudden unexpected death in epilepsy (SUDEP) is the most feared epilepsy outcome, there is a dearth of SUDEP counseling provided by neurologists. This may reflect limited time, as well as the lack of guidance on the timing and structure for counseling. We evaluated records from SUDEP cases to examine frequency of inpatient and outpatient SUDEP counseling, and whether counseling practices were influenced by risk factors and biomarkers, such as post-ictal generalized EEG suppression (PGES). We found a striking lack of SUDEP counseling despite modifiable SUDEP risk factors; counseling was limited to outpatients despite many patients having inpatient visits within a year of SUDEP. PGES was inconsistently documented and was never included in counseling. There is an opportunity to greatly improve SUDEP counseling by utilizing inpatient settings and prompting algorithms incorporating risk factors and biomarkers.
PMID: 38788665
ISSN: 1525-5069
CID: 5655182

Novelty preference assessed by eye tracking: A sensitive measure of impaired recognition memory in epilepsy

Leeman-Markowski, Beth A; Martin, Samantha P; Hardstone, Richard; Tam, Danny M; Devinsky, Orrin; Meador, Kimford J
OBJECTIVE:Epilepsy patients often report memory deficits despite normal objective testing, suggesting that available measures are insensitive or that non-mnemonic factors are involved. The Visual Paired Comparison Task (VPCT) assesses novelty preference, the tendency to fixate on novel images rather than previously viewed items, requiring recognition memory for the "old" images. As novelty preference is a sensitive measure of hippocampal-dependent memory function, we predicted impaired VPCT performance in epilepsy patients compared to healthy controls. METHODS:We assessed 26 healthy adult controls and 31 epilepsy patients (16 focal-onset, 13 generalized-onset, 2 unknown-onset) with the VPCT using delays of 2 or 30 s between encoding and recognition. Fifteen healthy controls and 17 epilepsy patients (10 focal-onset, 5 generalized-onset, 2 unknown-onset) completed the task at 2-, 5-, and 30-minute delays. Subjects also performed standard memory measures, including the Medical College of Georgia (MCG) Paragraph Test, California Verbal Learning Test-Second Edition (CVLT-II), and Brief Visual Memory Test-Revised (BVMT-R). RESULTS:The epilepsy group was high functioning, with greater estimated IQ (p = 0.041), greater years of education (p = 0.034), and higher BVMT-R scores (p = 0.024) compared to controls. Both the control group and epilepsy cohort, as well as focal- and generalized-onset subgroups, had intact novelty preference at the 2- and 30-second delays (p-values ≤ 0.001) and declined at 30 min (p-values > 0.05). Only the epilepsy patients had early declines at 2- and 5-minute delays (controls with intact novelty preference at p = 0.003 and p ≤ 0.001, respectively; epilepsy groups' p-values > 0.05). CONCLUSIONS:Memory for the "old" items decayed more rapidly in overall, focal-onset, and generalized-onset epilepsy groups. The VPCT detected deficits while standard memory measures were largely intact, suggesting that the VPCT may be a more sensitive measure of temporal lobe memory function than standard neuropsychological batteries.
PMID: 38636142
ISSN: 1525-5069
CID: 5646602

Cannabinoid treatments in epilepsy and seizure disorders

Devinsky, Orrin; Jones, Nicholas A; Cunningham, Mark O; Jayasekera, B Ashan P; Devore, Sasha; Whalley, Benjamin J
Cannabis has been used to treat convulsions and other disorders since ancient times. In the last few decades, preclinical animal studies and clinical investigations have established the role of cannabidiol (CBD) in treating epilepsy and seizures and support potential therapeutic benefits for cannabinoids in other neurological and psychiatric disorders. Here, we comprehensively review the role of cannabinoids in epilepsy. We briefly review the diverse physiological processes mediating the central nervous system response to cannabinoids, including Δ9-tetrahydrocannabinol (Δ9-THC), cannabidiol, and terpenes. Next, we characterize the anti- and proconvulsive effects of cannabinoids from animal studies of acute seizures and chronic epileptogenesis. We then review the clinical literature on using cannabinoids to treat epilepsy, including anecdotal evidence and case studies as well as the more recent randomized controlled clinical trials that led to US Food and Drug Administration approval of CBD for some types of epilepsy. Overall, we seek to evaluate our current understanding of cannabinoids in epilepsy and focus future research on unanswered questions.
PMID: 37882730
ISSN: 1522-1210
CID: 5628142

An iPSC line (FINi003-A) from a male with late-onset developmental and epileptic encephalopathy caused by a heterozygous p.E1211K variant in the SCN2A gene encoding the voltage-gated sodium channel Nav1.2

Ovchinnikov, Dmitry A; Jong, Sharon; Cuddy, Claire; Dalby, Kelly; Devinsky, Orrin; Mullen, Saul; Maljevic, Snezana; Petrou, Steve
Many developmental and epileptic encephalopathies (DEEs) result from variants in cation channel genes. Using mRNA transfection, we generated and characterised an induced pluripotent stem cell (iPSC) line from the fibroblasts of a male late-onset DEE patient carrying a heterozygous missense variant (E1211K) in Nav1.2(SCN2A) protein. The iPSC line displays features characteristic of the human iPSCs, colony morphology and expression of pluripotency-associated marker genes, ability to produce derivatives of all three embryonic germ layers, and normal karyotype without SNP array-detectable abnormalities. We anticipate that this iPSC line will aid in the modelling and development of precision therapies for this debilitating condition.
PMID: 38479087
ISSN: 1876-7753
CID: 5644322

Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns

Goldstein, Ariel; Grinstein-Dabush, Avigail; Schain, Mariano; Wang, Haocheng; Hong, Zhuoqiao; Aubrey, Bobbi; Schain, Mariano; Nastase, Samuel A; Zada, Zaid; Ham, Eric; Feder, Amir; Gazula, Harshvardhan; Buchnik, Eliav; Doyle, Werner; Devore, Sasha; Dugan, Patricia; Reichart, Roi; Friedman, Daniel; Brenner, Michael; Hassidim, Avinatan; Devinsky, Orrin; Flinker, Adeen; Hasson, Uri
Contextual embeddings, derived from deep language models (DLMs), provide a continuous vectorial representation of language. This embedding space differs fundamentally from the symbolic representations posited by traditional psycholinguistics. We hypothesize that language areas in the human brain, similar to DLMs, rely on a continuous embedding space to represent language. To test this hypothesis, we densely record the neural activity patterns in the inferior frontal gyrus (IFG) of three participants using dense intracranial arrays while they listened to a 30-minute podcast. From these fine-grained spatiotemporal neural recordings, we derive a continuous vectorial representation for each word (i.e., a brain embedding) in each patient. Using stringent zero-shot mapping we demonstrate that brain embeddings in the IFG and the DLM contextual embedding space have common geometric patterns. The common geometric patterns allow us to predict the brain embedding in IFG of a given left-out word based solely on its geometrical relationship to other non-overlapping words in the podcast. Furthermore, we show that contextual embeddings capture the geometry of IFG embeddings better than static word embeddings. The continuous brain embedding space exposes a vector-based neural code for natural language processing in the human brain.
PMCID:10980748
PMID: 38553456
ISSN: 2041-1723
CID: 5645352

The past, present, and future of the brain imaging data structure (BIDS)

Poldrack, Russell A; Markiewicz, Christopher J; Appelhoff, Stefan; Ashar, Yoni K; Auer, Tibor; Baillet, Sylvain; Bansal, Shashank; Beltrachini, Leandro; Benar, Christian G; Bertazzoli, Giacomo; Bhogawar, Suyash; Blair, Ross W; Bortoletto, Marta; Boudreau, Mathieu; Brooks, Teon L; Calhoun, Vince D; Castelli, Filippo Maria; Clement, Patricia; Cohen, Alexander L; Cohen-Adad, Julien; D'Ambrosio, Sasha; de Hollander, Gilles; de la Iglesia-Vayá, María; de la Vega, Alejandro; Delorme, Arnaud; Devinsky, Orrin; Draschkow, Dejan; Duff, Eugene Paul; DuPre, Elizabeth; Earl, Eric; Esteban, Oscar; Feingold, Franklin W; Flandin, Guillaume; Galassi, Anthony; Gallitto, Giuseppe; Ganz, Melanie; Gau, Rémi; Gholam, James; Ghosh, Satrajit S; Giacomel, Alessio; Gillman, Ashley G; Gleeson, Padraig; Gramfort, Alexandre; Guay, Samuel; Guidali, Giacomo; Halchenko, Yaroslav O; Handwerker, Daniel A; Hardcastle, Nell; Herholz, Peer; Hermes, Dora; Honey, Christopher J; Innis, Robert B; Ioanas, Horea-Ioan; Jahn, Andrew; Karakuzu, Agah; Keator, David B; Kiar, Gregory; Kincses, Balint; Laird, Angela R; Lau, Jonathan C; Lazari, Alberto; Legarreta, Jon Haitz; Li, Adam; Li, Xiangrui; Love, Bradley C; Lu, Hanzhang; Marcantoni, Eleonora; Maumet, Camille; Mazzamuto, Giacomo; Meisler, Steven L; Mikkelsen, Mark; Mutsaerts, Henk; Nichols, Thomas E; Nikolaidis, Aki; Nilsonne, Gustav; Niso, Guiomar; Norgaard, Martin; Okell, Thomas W; Oostenveld, Robert; Ort, Eduard; Park, Patrick J; Pawlik, Mateusz; Pernet, Cyril R; Pestilli, Franco; Petr, Jan; Phillips, Christophe; Poline, Jean-Baptiste; Pollonini, Luca; Raamana, Pradeep Reddy; Ritter, Petra; Rizzo, Gaia; Robbins, Kay A; Rockhill, Alexander P; Rogers, Christine; Rokem, Ariel; Rorden, Chris; Routier, Alexandre; Saborit-Torres, Jose Manuel; Salo, Taylor; Schirner, Michael; Smith, Robert E; Spisak, Tamas; Sprenger, Julia; Swann, Nicole C; Szinte, Martin; Takerkart, Sylvain; Thirion, Bertrand; Thomas, Adam G; Torabian, Sajjad; Varoquaux, Gael; Voytek, Bradley; Welzel, Julius; Wilson, Martin; Yarkoni, Tal; Gorgolewski, Krzysztof J
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.
PMID: 39308505
ISSN: 2837-6056
CID: 5802782

Wearable Digital Health Technology for Epilepsy

Donner, Elizabeth; Devinsky, Orrin; Friedman, Daniel
PMID: 38381676
ISSN: 1533-4406
CID: 5634332

Video Analyses of Sudden Unexplained Deaths in Toddlers

Gould, Laura; Reid, Codi-Ann; Rodriguez, Alcibiades J; Devinsky, Orrin; ,
BACKGROUND AND OBJECTIVES/OBJECTIVE:More 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. METHODS:In 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. RESULTS:Four 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 lacked audio. All continuous recordings included a terminal convulsive event lasting 8-50 seconds; 4 children survived for >2.5 minutes postconvulsion. Among discontinuous videos, time lapses limited review; 1 suggested a convulsive event. Six were prone with face down, and 1 had autopsy evidence of airway obstruction. Primary cardiac arrhythmias were not supported; all 7 children had normal cardiac pathology and whole-exome sequencing identified no known cardiac disease variants. DISCUSSION/CONCLUSIONS:Audio-visual recordings in 7 toddlers with unexplained sudden deaths strongly implicate that deaths were related to convulsive seizures, suggesting that many unexplained sleep-related deaths may result from seizures.
PMID: 38175965
ISSN: 1526-632x
CID: 5628382

Idiopathic Generalized Epilepsy: Misunderstandings, Challenges, and Opportunities

Devinsky, Orrin; Elder, Christopher; Sivathamboo, Shobi; Scheffer, Ingrid E; Koepp, Matthias J
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 is an understudied spectrum for which our diagnostic sensitivity and specificity, scientific understanding, and therapies remain inadequate.
PMID: 38165295
ISSN: 1526-632x
CID: 5625962