State-dependent spike-timing relationships between hippocampal and prefrontal circuits during sleep
Open accessAbstract
Summary Cortico-hippocampal interactions during sleep are believed to reorganize neural circuits in support of memory consolidation. However, spike timing relationships across cortico-hippocampal networks, which are key determinants of synaptic changes, are not well understood. Here we show that cells in prefrontal cortex fire consistently within 100 ms after hippocampal cells in naturally sleeping animals. This provides evidence at the single cell-pair level for highly consistent directional interactions between these areas within the window of plasticity. Moreover, these interactions are state-dependent: they are driven by hippocampal sharp-wave/ripple (SWR) bursts in slow-wave sleep (SWS) and are sharply reduced during REM sleep. Finally, prefrontal responses are non-linear: as the strength of hippocampal bursts rises, short-latency prefrontal responses are augmented by increased spindle band activity and a secondary peak ~100 ms later. These findings suggest that SWR events serve as an atomic unit of hippocampal-prefrontal communication during SWS, and that the coupling between prefrontal and hippocampal areas is highly attenuated during REM sleep.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The driving influence of the depolarizing up phase of the slow oscillation on spindle and hippocampal ripple activity enables ripples and accompanying memory information to become nested into the single oscillatory troughs of spindles.
“The driving influence of the depolarizing up phase of the slow oscillation on spindle and hippocampal ripple activity enables the ripples and accompanying memory information to become nested into the single oscillatory troughs of spindles (Siapas & Wilson 1998; Sirota & Buzsaki 2005; Wierzynski, Lubenov, Gu, & Siapas 2009; Mölle, Eschenko, Gais, Sara, & Born 2009; Clemens et al. 2011).”
From System consolidation of memory during sleep (2012) · cites this paper as Wierzynski, Lubenov, Gu, & Siapas 2009
The Discussion (page unavailable) says neocortical slow oscillations can bias the timing of hippocampal sharp-wave/ripple events. The Results, under “Biphasic structure of prefrontal responses” (page unavailable), associate stronger hippocampal bursts with increased spindle-band activity after the bursts. Neither passage establishes that the depolarizing up phase drives both activities or that ripples and memory information nest in individual spindle troughs. (LLM, conf=0.86)
Experimental — accuracy not yet measuredSlow waves reflect alternations between synchronized membrane hyperpolarization (downstate) and depolarization (upstate) in neocortical networks, often travel from anterior to posterior cortical regions, and reach the hippocampus and brainstem, including the locus coeruleus.
“Slow waves reflect alternations between synchronized membrane hyperpolarization (downstate) and depolarization (upstate) in neocortical networks, often travel from anterior to posterior cortical regions, and also reach the hippocampus and brainstem, including the locus coeruleus (LC).[168][169][170]”
From Sleep—A brain-state serving systems memory consolidation (2023) · cites this paper as [169]
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredFine-grained temporal analyses revealed that the co-occurrence of spindles and ripples leads to the formation of so-called spindle-ripple events where individual ripple events become temporally nested into succeeding troughs of a spindle.
“Moreover, fine-grained temporal analyses revealed that the co-occurrence of spindles and ripples leads to the formation of so-called”
From About Sleep's Role in Memory (2013) · cites this paper as [1317]
The Results section (“Biphasic structure of prefrontal responses”; page unavailable) reports increased prefrontal spindle-band power after stronger hippocampal bursts, supporting a temporal relationship between the two activities. It does not report spindle-ripple events or show individual ripples nested in succeeding spindle troughs. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 37 · Cited by 289
Research works printed but not linked: 1
- [19]Laroche S Davis S Jay TM Plasticity at hippocampal to prefrontal cortex synapses: dual roles in working memory and consolidation Hippocampus 10 438 446 2000 10985283
- Authors
- Wierzynski, C. M., Lubenov, E. V., Gu, M., & Siapas, A. G.
- Affiliations
- California Institute of Technology (US)
- Corresponding author
- Siapas, Athanassios G.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2009-02
- Volume
- 61
- Issue
- 4
- Pages
- 587-596
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC2701743
- OpenAlex
- W2047999252
- Semantic Scholar
- 925c09d63913dfb3f1253e791889d33d7e696184
- Cited by
- 289
- References
- 37
- Citations by year
- 2026: 5 · 2025: 10 · 2024: 13 · 2023: 13 · 2022: 8 · 2021: 13 · 2020: 13 · 2019: 18 · 2018: 24 · 2017: 20 · 2016: 25 · 2015: 14 · 2014: 22 · 2013: 18 · 2012: 14
- FWCI
- 11.61
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Funders
- National Institute of Mental Health (R01MH082942)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- hippocampus, prefrontal cortex, sleep, sharp-wave ripples, slow-wave sleep, REM sleep, memory consolidation, synaptic plasticity, sleep spindles, neural circuit reorganization
- MeSH terms
- Algorithms, Analysis of Variance, Animals, Electroencephalography, Electrophysiology, Hippocampus, Male, Nerve Net, Sleep, Sleep Stages, Sleep, REM, Prefrontal Cortex, Rats, Long-Evans, Rats
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
