Michael R. Sperling

The paper introduces a framework to analyze network topology in focal epilepsy using resting-state fMRI, identifying two axes that reveal distinct topological phenotypes and their clinical associations.

The paper identifies six patients with biallelic IRAK4 variants causing severe neurological autoinflammation without immunodeficiency, expanding the known phenotype of IRAK4-related disease.

This study shows that structural network architecture of stimulation targets determines the effectiveness of closed-loop brain stimulation for memory improvement.

The paper investigates neural components specific to episodic memory by analyzing cross-task decoding in patients performing free recall and arithmetic tasks.

The paper identifies normative and non-normative intrinsic connectivity networks in TLE patients with intact or impaired cognition, showing cognitive deficits are linked to individualized network status.

The paper tests if targeting brain stimulation based on anatomical and functional network properties improves memory in patients.

This study shows that spontaneous reactivation during encoding predicts memory recall, supporting rapid consolidation processes.

The paper uses intracranial EEG from epilepsy patients to show that brain activity patterns during word encoding predict recall, with similar performance for item and list-level predictions.

This study uses network control theory to analyze energy dynamics in temporal lobe epilepsy, finding increased control energy requirements and metabolic asymmetry in affected brain regions.

The paper identifies cortical networks that reinstated semantic content and temporal context during episodic recall, showing how specialized systems organize memory retrieval.

The paper compares memory processing in TLE patients with and without compensation, identifying distinct brain regions and functional connectivity patterns that support adaptive memory in those with intact status.

The paper identifies time cells in the human hippocampus and entorhinal cortex that predict episodic memory temporal organization and exhibit phase precession.

The paper studies how the human medial temporal lobe (MTL) represents spatial and semantic information through micro-wire recordings, showing that learned representations support navigation and prediction.

This study examines how direct brain stimulation affects neuronal activity in humans, finding that frequency, amplitude, and electrode location influence whether stimulation inhibits or excites activity.

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.

This study investigates how spatial information is reactivated in the medial temporal lobe during episodic recall and identifies theta oscillations as a shared mechanism for spatial coding and memory retrieval.

This study examines how neurons in the human medial-temporal lobe represent spatial targets during navigation, finding that firing rates change based on target position and heading direction.

This paper identifies disrupted basal ganglia-thalamocortical loops in patients with focal to bilateral tonic-clonic seizures, linking these disruptions to increased seizure generalization risk.

The paper shows that hippocampal theta oscillations encode semantic and temporal distances between words during memory retrieval.

The paper examines how high-frequency gamma activity in epilepsy patients correlates with resting-state BOLD fluctuations, showing distinct hubness in memory encoding networks.

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 uses intracranial EEG data to identify brain networks involved in mental arithmetic, revealing contributions from parietal and extra-parietal regions and hemispheric differences.

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

The paper investigates functional connectivity in the human medial temporal lobe during memory tasks, identifying theta-band synchronization and reorganization patterns associated with encoding and retrieval.

The paper shows that functional connectivity predicts changes in theta power from electrical stimulation, but only when stimulation occurs in or near white matter.

This study uses electrical brain stimulation to show that the medial temporal lobe impairs spatial and temporal memory organization in humans.

This study uses network control theory to predictably reconfigure brain network interactions through targeted neurostimulation in humans.

The paper identifies electrophysiological signatures of spatial boundaries in the human subiculum using intracranial recordings during a virtual navigation task.