In a groundbreaking revelation that deepens our understanding of sleep neurophysiology, researchers have identified a distinct hippocampal state—termed “hippocampal sharp-wave sleep”—that diverges from the well-characterized cortical slow-wave sleep. This novel discovery, emerging from continuous 48-hour Neuropixels recordings in male rats, underscores the hippocampus’s unique role in sleep regulation and connectivity dynamics, challenging the traditional view that sleep states are uniform across brain regions.
Neuroscientists have long been intrigued by the pervasive slow waves observed during cortical sleep, which serve as hallmarks of sleep need and homeostatic regulation in the brain. These slow waves reflect a state of cortical disconnection from the external environment, facilitating critical restorative processes. However, the extent to which analogous processes occur in subcortical structures, particularly the hippocampus—a region integral to memory consolidation—remained obscure until now.
Capitalizing on the high spatial and temporal resolution of Neuropixels probes, the investigative team embarked on an ambitious recording campaign, capturing hippocampal electrophysiological activity spanning complete sleep/wake cycles in freely moving rats. This expansive dataset illuminated the nuanced patterns of hippocampal sharp waves (SPWs) and associated phenomena, including ripples and dentate spikes (DSs), intricately linked with the organism’s sleep need.
Intriguingly, unlike the canonical cortical slow waves strictly confined to sleep phases, hippocampal SPWs manifested robustly not only during behavioral sleep but also during periods of quiet wakefulness. This observation is particularly striking, suggesting that the hippocampus navigates a partially disconnected state even while the cortex ostensibly remains awake and aware. This unique hippocampal mode challenges prevailing paradigms of brain-wide sleep-wake dichotomies and hints at region-specific sleep microstates.
Quantitative analyses revealed a salient negative correlation between the expression of hippocampal SPWs, ripples, and DSs during cortical wakefulness and their occurrence during subsequent cortical sleep episodes. This inverse relationship implies that hippocampal sharp-wave events may serve homeostatic functions akin to those traditionally attributed to cortical slow waves, potentially providing regulatory mechanisms to equilibrate neuronal excitability and synaptic plasticity across vigilance states.
The electrophysiological signature accompanying hippocampal SPWs showcased an elevated slow-to-fast gamma oscillation ratio, consistent with a functional switch towards a partially disconnected state. Gamma oscillations have long been associated with cognitive processing and network communication; thus, this shift underscores a modulation of hippocampal network dynamics that transcends simplistic binary sleep-wake classifications.
Collectively, these findings compel a conceptual reframing of hippocampal activity patterns, prompting the proposal of a discrete hippocampal ‘sharp-wave sleep’ state. This state embodies a unitary mode of operation characterized by transient disconnection yet sustained homeostatic regulation, decoupling the hippocampal sleep microarchitecture from that of the cortex.
The implications of delineating this hippocampal sharp-wave sleep extend far beyond basic neuroscience. Given the hippocampus’s pivotal role in memory consolidation, learning, and spatial navigation, uncovering its unique sleep modalities offers fertile ground for re-examining how memory traces are processed and integrated during rest. The dissociation between hippocampal and cortical sleep states invites hypotheses about parallel or complementary processing streams operating concurrently yet independently.
Moreover, the identification that hippocampal SPWs occur during quiet wakefulness posits a mechanistic substrate for offline processing and memory replay outside classical sleep episodes. This insight may inform novel therapeutic approaches targeting hippocampal function to ameliorate cognitive impairments associated with sleep disorders or neurodegenerative diseases.
Methodologically, the use of Neuropixels probes represents a powerful technological leap, permitting simultaneous, high-resolution sampling of thousands of neurons across multiple brain areas. This approach enables unprecedented dissection of temporal and spatial dynamics underlying complex brain states, as exemplified by the current study’s ability to capture subtle hippocampal electrophysiological signatures over extended periods without interrupting natural behavior.
This study also propels forward a broader conceptual framework regarding brain state heterogeneity. Rather than viewing sleep and wakefulness as rigidly demarcated, globally uniform brain states, it advocates for recognition of localized, perhaps functionally specialized, sub-states. Such nuanced understanding aligns with emerging evidence of regional sleep phenomena, including local cortical sleep and hippocampal replay during wakefulness, reshaping theories of consciousness and brain function.
The discovery also invites questions about the molecular and cellular substrates governing the hippocampal sharp-wave sleep state. Future research might explore neurotransmitter systems, neuromodulatory influences, and intracircuit mechanisms that enable the hippocampus to transiently disengage partially while maintaining homeostasis. Understanding these pathways could unlock new targets for manipulating sleep stages for therapeutic benefit.
Importantly, the concept of hippocampal sharp-wave sleep may dovetail with existing hypotheses on sleep’s role in synaptic homeostasis and memory optimization. Given the hippocampus’s role in encoding episodic information, the ability to switch momentarily into a homeostatically regulated disconnected mode could represent a critical phase during which synaptic strength is selectively adjusted, and neural circuits are optimized.
The divergence in gamma oscillatory activity during hippocampal SPWs compared to cortical slow waves also beckons electrophysiological investigations into how oscillatory hierarchies interact across regions during sleep. These dynamics might influence how information flows through cortico-hippocampal circuits and orchestrate the timing of memory consolidation processes.
By defining a novel, partially disconnected hippocampal state dissociable from cortical sleep, this research opens new vistas into the architecture of sleep and brain function. It underscores the imperative of multi-regional, high-resolution recordings in unraveling the complex mosaic of brain states that facilitate cognition, memory, and homeostatic maintenance.
In conclusion, the identification of hippocampal sharp-wave sleep represents a paradigm shift in our understanding of sleep neurobiology. It reveals the hippocampus not merely as a passive recipient of cortical rhythms but as an active, autonomous generator of specialized sleep-like states. This revelation holds profound implications for neuroscience, medicine, and the fundamental biology of sleep, heralding a new chapter in the quest to decipher the mysteries of the sleeping brain.
Subject of Research: Hippocampal activity patterns during sleep and wakefulness, with emphasis on sharp waves, ripples, and dentate spikes, and their relation to sleep need and homeostatic regulation beyond cortical slow-wave sleep.
Article Title: A hippocampal ‘sharp-wave sleep’ state that is dissociable from cortical sleep
Article References:
Findlay, G., Cavelli, M.L., Bugnon, T. et al. A hippocampal ‘sharp-wave sleep’ state that is dissociable from cortical sleep. Nat Neurosci (2025). https://doi.org/10.1038/s41593-025-02141-8
Image Credits: AI Generated
DOI: https://doi.org/10.1038/s41593-025-02141-8
Tags: cortical slow-wave sleep differenceselectrophysiological activity during sleephippocampal ripples and spikeshippocampal sharp-wave sleephippocampus sleep regulationmemory consolidation and sleepNeuropixels recordings in ratssleep need and homeostasissleep neurophysiology researchsleep research advancementssleep state variability in brain regionssubcortical sleep mechanisms
