Orrin Devinsky

The paper shows that divisive normalization models better capture temporal dynamics in human somatosensory cortex compared to linear models, mirroring visual cortex findings.

This study shows that neural representational geometry in ventral temporal cortex adapts gradually to task demands, supporting behavioral flexibility within sensory cortex.

This paper validates the Gabor-Nelson method for reconstructing deep-brain oscillatory phase from scalp EEG without anatomical imaging, achieving comparable accuracy to MRI-informed methods.

The paper uses electrocorticography to study neural coding of linguistic information during sentence production, finding non-overlapping networks and magnitude-independent encoding of higher-order linguistic information.

This study uses CRISPR activation to upregulate SCN1A in PV interneurons, improving survival and reducing seizures in Dravet syndrome models.

The paper identifies a modality-specific gradient in the frontal cortex during naturalistic audiovisual processing, showing dynamic adaptation to different contexts.

This study examines sex differences in structural brain alterations in common epilepsies using neuroimaging data from a large international cohort, finding some regional differences but no significant sex-by-diagnosis interactions.

The paper uses graph-theoretical connectivity from ECoG to predict eloquent cortex during presurgical mapping, finding varying accuracy across functional domains.

This paper demonstrates that Intersectional Short-Pulse (ISP) stimulation improves seizure control in a rat model of temporal lobe epilepsy compared to conventional TES.

This study investigates the neural dynamics of automatic speech production using ECoG recordings, revealing a distributed cortical network with complex feedforward and feedback signal representation.

This study identifies high-level visual cortex as the neural substrate for one-shot perceptual learning and develops a deep neural network model that replicates human behavior and neural coding.

The paper investigates how genetic variants affecting transcription factor binding contribute to valproate-induced birth defects and identifies EP300 as a key regulator involved in this process.

The paper decodes behavioral states during speech production and perception using functional connectivity from ECoG data, achieving 73.9% accuracy in classifying states.

The paper creates a probabilistic functional atlas of brain regions using extraoperative electrocortical stimulation data, revealing variability in functional organization and highlighting key areas for language and motor functions.

This study shows CBD reduces high-frequency hippocampal activity by modulating inhibitory circuits, specifically enhancing PV-INs and reducing SST-INs.

The paper examines associations between epilepsy-related polygenic risk scores and brain morphology in children, finding PRS-related cortical thinning linked to structural patterns in TLE-HS patients.

The paper introduces a dataset of ECoG recordings from nine participants listening to a podcast, along with linguistic features and tutorials for analysis.

Targeted closed-loop electrical stimulation prevents epileptic network spread and improves long-term spatial memory in rodent models of progressive hippocampal epilepsy.

The paper measures alpha oscillations in human visual cortex using intracranial electrodes and finds they are spatially specific, with receptive field models showing larger spatial tuning compared to broadband power.

The paper uses ECoG recordings to decode word processing during sentence production, showing syntactic structure influences word order encoding in frontal cortex.

The paper identifies a left-lateralized dorsolateral prefrontal network involved in semantic processing during word retrieval using ECoG data from patients.

The paper investigates neural state patterns during memory search, showing hippocampal-neocortical communication facilitates retrieval of event-related information.

This study corrects a pathogenic SERPINI1 mutation in iPSC-derived neurons using a personalized base editor to treat FENIB and related neurodegenerative diseases.

The paper identifies the source and timing of a corollary discharge signal in human speech using ECoG recordings and Granger-causality analysis.

This study identifies shared and distinct ultra-rare genetic risk factors for epilepsy subtypes using whole-exome sequencing of 20,979 patients and 33,444 controls.

The paper investigates how human auditory cortex integrates sound structures over time versus structure duration, finding that integration is primarily time-yoked.

The paper identifies wavelet phase coherence of ictal scalp EEG-extracted muscle activity as a potential biomarker for SUDEP, showing higher values in SUDEP patients.

This study shows that speakers' brains generate information-rich words through extra neural computation, evidenced by stronger neural activity before articulation, and that LLMs similarly require deeper computation for improbable words.

The paper introduces ClearScope, a fully integrated light sheet theta microscope for sub-cellular resolution imaging of large specimens without lateral size constraints, demonstrating its use on mouse and human brain samples.