Guy M. McKhann

This study uses electrophysiologically guided biopsies and single-nucleus RNA sequencing to identify transcriptional differences between seizure focus and ictal penumbra in focal epilepsy.

This study uses large language models to analyze how attention affects neural tracking of linguistic context in multi-talker speech environments.

This paper shows that speaker identity is encoded in spatial patterns of intracranial EEG during attention, enabling a new method for auditory attention decoding.

This study investigates how mTOR inhibition reverses glioma-induced changes in excitatory neurons, showing effects on mRNA, dendritic spines, and neuronal activity.

The paper evaluates how pre-sequencing RNA quality metrics (PMI and RIN) correlate with post-sequencing RNA quality metrics and gene expression in human brain tissue.

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

This paper develops a brain-controlled assistive hearing system for multi-talker environments with moving conversations, improving speech intelligibility and tracking.

The paper uses intracranial-EEG and video data to show that brain regions switch between spectral states in sync, reflecting naturalistic behaviors and forming functional networks.

The paper validates an RNA-based platform for predicting drug sensitivity in treatment-resistant cancers using patient-derived xenograft models and multi-protein therapies.

The paper measures the spatial reach of neuronal coherence and spike-field coupling in human neocortex during cognitive tasks, finding a consistent 2-3 cm effective range for local communication.

The paper shows that interictal epileptiform discharges (IEDs) are bidirectional traveling waves that follow the same path and direction as ictal discharges, suggesting they originate outside the seizure focus.

The paper shows that pre-trial firing rate patterns in human dlPFC predict conflict resolution in cognitive tasks, with distinct but related patterns for different conflict types.

The paper develops a novel spike sorting method to analyze neuronal activity during human seizures, finding that recruited neurons show altered action potential waveforms compared to non-recruited tissue.

The paper identifies gene expression changes in Alzheimer's disease pathology linked to cognitive impairment in hydrocephalus biopsies, showing microglial activation and loss of homeostatic genes.

The paper develops a method to estimate neural integration periods in human auditory cortex and shows integration periods increase with cortical hierarchy, correlating with selectivity for acoustic features and sound categories.

The paper investigates human hippocampal theta oscillations, finding distinct high (8-Hz) and low (3-Hz) frequencies associated with spatial navigation and non-spatial processes respectively.

The paper shows that conflict in the dorsal anterior cingulate cortex (dACC) amplifies task-relevant information across neurons, rather than relying on specific conflict-encoding neurons or coactivation of action plans.

The paper analyzes 770 intracranial stimulation sessions to assess the risk of stimulation-induced seizures, finding 3-6% of sessions likely or possibly caused seizures with no adverse outcomes.

The paper develops a neural network model to simulate focal seizure dynamics, including initiation, propagation, termination, and progression, and identifies mechanisms underlying seizure patterns and synaptic plasticity.

The paper identifies trace cells in the human entorhinal cortex that remap their spatial fields to represent memory cues during cued recall.