A hierarchical cascade of sleep rhythms supports motor memory and is hijacked by epileptic spikes in human epilepsy

A Anirudh Wodeyar (Department of Advanced Computing Sciences, Maastricht University) D Dhinakaran Chinappen (Department of Neurology, Johns Hopkins University) H Hunki Kwon (Department of Neurology, Johns Hopkins University) W Wen Shi (Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University) R R. Mark Richardson (Harvard Medical School) M Mark A. Kramer (Department of Mathematics and Statistics, Boston University) C Catherine J. Chu (Department of Neurology, Johns Hopkins University)

Abstract

The cross-regional interplay of slow oscillations, spindles, and ripples during sleep is believed to support systems memory consolidation but remains understudied in humans. Using a validated behavioral task and simultaneous intracranial neural recordings from the orbitofrontal cortex, thalamus, and hippocampus in 19 patients with epilepsy, we examined the cross-regional interplay of sleep oscillations (slow oscillations, spindles, and ripples), alongside epileptic spikes, and their role in motor memory consolidation. Orbitofrontal slow oscillations robustly modulate spindle and ripple oscillations within and across regions during sleep. Although most combinations of oscillation rates positively predicted overnight performance change in a motor task, hippocampal ripple rate and coupled hippocampal-orbitofrontal ripple rates were the most reliable predictors across subjects. In contrast, rates of most sleep oscillations coupled to epileptic spikes were negative predictors of overnight motor performance change, with the rate of slow oscillations co-occurring with epileptic spikes the most reliable predictors of negative change across subjects. These findings provide direct evidence of a hierarchical cascade of sleep oscillations in human motor memory processing and reveal that epileptic spikes coupled to sleep oscillations interfere with this process in patients with epilepsy.

Article Details

Volume / Issue Vol. 123, Issue 27
Published July 07, 2026
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (7)

A

Anirudh Wodeyar

Department of Advanced Computing Sciences, Maastricht University

D

Dhinakaran Chinappen

Department of Neurology, Johns Hopkins University

H

Hunki Kwon

Department of Neurology, Johns Hopkins University

W

Wen Shi

Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University

R

R. Mark Richardson

Harvard Medical School

M

Mark A. Kramer

Department of Mathematics and Statistics, Boston University

C

Catherine J. Chu

Department of Neurology, Johns Hopkins University