Sleep—A brain-state serving systems memory consolidation

In the paper

“Similar to hippocampal replay, extrahippocampal reactivations have also been shown to positively correlate 65 and causally contribute to sleep-dependent memory consolidation.”

What the sources say

• Partly supported

  The Results (Lack of Reactivation during Later Stages of Learning) report a significant correlation between motor-cortex reactivation and offline improvements in movement speed. The Discussion calls reactivation a neural correlate and says the findings suggest a role in stabilizing motor patterns; it does not establish that reactivation causally contributes to consolidation. (LLM, conf=0.86)

  cites [65] 65. Ramanathan, D.S., Gulati, T., and Ganguly, K. (2015). Sleep-dependent reactivation of ensembles in motor cortex promotes skill consolidation. PLoS Biol. 13, e1002263. https://doi.org/10.1371/journal.pbio.1002263. sourceExperimental — accuracy not yet measured
• Supported

  The source supports the causal-contribution part of the sentence: its Discussion reports that sleep-associated reactivation of cue-activated visual-cortex neurons plays a critical, instructive role in consolidating a cue-linked fear memory in mice. The separate positive-correlation clause is marked with citation 65, so it is not attributed to this source. (LLM, conf=0.90)

  cites [87] 87. Clawson, B.C., Pickup, E.J., Ensing, A., Geneseo, L., Shaver, J., Gonza- lez-Amoretti, J., Zhao, M., York, A.K., Kuhn, F.R., Swift, K., et al. (2021). Causal role for sleep-dependent reactivation of learning-activated sen- sory ensembles for fear memory consolidation. Nat. Commun. 12, 1200. https://doi.org/10.1038/s41467-021-21471-2. source
• Disputed

  The Results section ('Interaction of Prestored Memories with New Related Experiences during Sleep Is Necessary to Induce Offline Assimilation'; page unavailable) says ACC reactivation is necessary for memory networking and implicit learning but dispensable for consolidation of the new memory. The Discussion reports a correlation with future memory integration, not consolidation. Thus the paper makes a contrary point about the claimed causal contribution to sleep-dependent memory consolidation. (LLM, conf=0.89)

  Checked by a reasoning model — may be wrong.

  cites [97] 97. Aly, M.H., Abdou, K., Okubo-Suzuki, R., Nomoto, M., and Inokuchi, K. (2022). Selective engram coreactivation in idling brain inspires implicit learning. Proc. Natl. Acad. Sci. USA 119. e2201578119. https://doi.org/ 10.1073/pnas.2201578119. sourceExperimental — accuracy not yet measured

In the paper

“information flow during such coordinated reactivation events appears be organized in a loop-like manner, with activity in cortical regions predicting the content of hippocampal reactivations during SPW-Rs, 89 and hippocampal reactivations, in turn, leading reactivations in extrahippocampal regions.”

What the sources say

• Supported

  Citation 89 follows the clause about cortical activity predicting hippocampal reactivation, so that is the part assessed. The Discussion reports that patterned activity in auditory cortex before SWRs predicts subsequent hippocampal reactivation. (LLM, conf=0.91)

  cites [89] 89. Rothschild, G., Eban, E., and Frank, L.M. (2017). A cortical-hippocampal- cortical loop of information processing during memory consolidation. Nat. Neurosci. 20, 251-259. https://doi.org/10.1038/nn.4457. source
• Disputed

  The citation follows the claim that cortical activity predicts hippocampal reactivation during SPW-Rs. The paper instead reports that MEC grid-cell representations lag hippocampal CA1 during replay and suggests that replay sequences propagate from the hippocampus to MEC (p. 3). It does not establish the cited cortex-to-hippocampus direction. (LLM, conf=0.86)

  Checked by a reasoning model — may be wrong.

  cites [92] 92. O ´lafsdo ´ttir, H.F., Carpenter, F., and Barry, C. (2016). Coordinated grid and place cell replay during rest. Nat. Neurosci. 19, 792-794. https:// doi.org/10.1038/nn.4291. sourceExperimental — accuracy not yet measured
• ?Could not verify

  The paper’s Abstract discusses sleep-cued memory reactivation and spindle activity, and its Online Methods describe scalp EEG recordings. Neither passage addresses cortical activity predicting hippocampal reactivation during SPW-Rs or hippocampal reactivation leading extrahippocampal activity. Searches for both directional relationships found no passage supporting the claimed loop-like information flow. (LLM, conf=0.77)

  cites [102] 102. Antony, J.W., Gobel, E.W., O'Hare, J.K., Reber, P.J., and Paller, K.A. (2012). Cued memory reactivation during sleep influences skill learning. Nat. Neurosci. 15, 1114-1116. https://doi.org/10.1038/nn.3152. 117. Cairney, S.A., Guttesen, A.A ´.V., El Marj, N., and Staresina, B.P. (2018). Memory consolidation is linked to spindle-mediated information pro- cessing during sleep. Curr. Biol. 28, 948-954.e4. https://doi.org/10. 1016/j.cub.2018.01.087. 118. Rasch, B., B€ uchel, C., Gais, S., and Born, J. (2007). Odor cues during slow-wave sleep prompt declarative memory consolidation. Science 31 sourceExperimental — accuracy not yet measured

In the paper

“From a wider angle, spindles have been proposed as a mechanism that enables selective and reliable hippocampo-neocortical information exchange during sleep-dependent consolidation, while at the same time suppressing possible interference from relaying cortico-cortical and sensory information flow as it occurs in the wake state.179,202”

What the sources say

• Partly supported

  Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  cites [179] sourceExperimental — accuracy not yet measured
• Disputed

  Split into 2 atoms — 1 confirmed, 0 partially supported, 1 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  Checked by a reasoning model — may be wrong.

  cites [202] sourceExperimental — accuracy not yet measured

In the paper

“First, sleep spindles appear typically before the 3rd week after birth and may at this time also intrude into periods of active sleep.244,251,252”

What the sources say

• Disputed

  In Framework 3, under “Non-REM sleep may promote sensorimotor plasticity in human infants” (page unavailable), the paper says sleep spindles emerge around one month of age, not typically before the third week. It describes sleep spindles as specifically affiliated with non-REM sleep; the earlier activity it discusses during active sleep is spindle bursts, which it distinguishes from sleep spindles. (LLM, conf=0.87)

  Checked by a reasoning model — may be wrong.

  cites [244] sourceExperimental — accuracy not yet measured
• ?Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  cites [251]
• ?Could not verify

  The Results section on NREM sleep cycles reports increased fast-spindle activity before transitions to REM sleep, not spindles occurring during active sleep in newborns. Searches for the third week after birth and newborn active sleep found no passage addressing when spindles first appear or whether they occur during active sleep at that age; page numbers were not provided. (LLM, conf=0.76)

  cites [252] sourceExperimental — accuracy not yet measured

In the paper

“However, activity of these spindle-active cells remained at a relatively enhanced level at the end of REM sleep as well as during the subsequent wake periods, in line with the idea of concurrent global downscaling and select upscaling thereby preserving learning-related differences in scaling induced during prior wakefulness.”

What the sources say

• Disputed

  Split into 2 atoms — 0 confirmed, 1 partially supported, 1 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  Checked by a reasoning model — may be wrong.

  cites [166] sourceExperimental — accuracy not yet measured

In the paper

“Using fMRI and microstructural MRI in humans, these studies investigated changes in representations occurring with repeated retrievals on spatial (object-location and spatial navigation) and verbal (word lists) tasks and found that with increasing number of repetitions activation of task-relevant neocortical areas (such as the medial parietal cortex) increased, whereas activity in the hippocampus”

What the sources say

• Disputed

  Split into 2 atoms — 0 confirmed, 0 partially supported, 1 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.

  Checked by a reasoning model — may be wrong.

  cites [290] sourceExperimental — accuracy not yet measured
• ?Not checked — no full text of the sourcecites [291] source
• Partly supported

  Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  cites [292] sourceExperimental — accuracy not yet measured
• Partly supported

  Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  cites [293] sourceExperimental — accuracy not yet measured

In the paper

“(C) Sleep downscaling also entails a reduction of dendritic synaptic spines, with branches involved in prior learning (red) being spared (assessed by two-photon imaging, 164 left).”

What the sources say

• Disputed

  The paper’s Abstract reports that sleep after motor learning promotes spine formation and maintenance on selected branches, rather than a reduction in spines. In its comparison of trained branches (Fig. 1, D–F), it finds no significant difference in spine elimination between high- and low-formation branches. Its discussion of net synapse loss during sleep describes earlier studies, not the branch-specific result claimed here. Page numbers are unavailable in our copy. (LLM, conf=0.88)

  Checked by a reasoning model — may be wrong.

  cites [164] sourceExperimental — accuracy not yet measured

In the paper

“Himmer et al., 293 for example, observed a decrease in hippocampal fMRI activity with repeated retrieval of learned word lists during wakefulness, and this reduction in retrieval-related hippocampal activity remained stable only when the participants slept during the following night.”

What the sources say

• Disputed

  Split into 2 atoms — 0 confirmed, 0 partially supported, 2 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  Checked by a reasoning model — may be wrong.

  cites [293] sourceExperimental — accuracy not yet measured

In the paper

“recently, there has been a growing number of experiments failing to reveal superior retrieval of memory for post-encoding sleep compared with wake conditions, and a few studies even suggesting enhanced forgetting of memory by sleep.6,7”

What the sources say

• Partly supported

  In Results (‘Remote NOR Memory Is Context Dependent after Postencoding Sleep but Not Wakefulness’; page unavailable), rats tested in a different context retrieved object memory better after wakefulness than after sleep, supporting the claim that sleep does not always yield superior retrieval. But in the original context, Results report slightly better retrieval after sleep, and the Discussion attributes the poorer performance after sleep in the changed context to retrieval interference, not enhanced forgetting. This paper also cannot establish a growing number of such experiments. (LLM, conf=0.86)

  cites [6] 6. Sawangjit, A., Harkotte, M., Oyanedel, C.N., Niethard, N., Born, J., and Inostroza, M. (2022). Two distinct ways to form long-term object recog- nition memory during sleep and wakefulness. Proc. Natl. Acad. Sci. USA 119. e2203165119. https://doi.org/10.1073/pnas.2203165119. sourceExperimental — accuracy not yet measured
• Partly supported

  The paper’s results report no effect of post-training sleep deprivation on long-term memory in starved flies, supporting a condition-specific lack of sleep benefit. They also report impaired memory after sleep deprivation in fed flies. The cited paper does not report a growing number of such experiments or suggest that sleep enhances forgetting; the only forgetting-related passage found is a reference title. (LLM, conf=0.84)

  cites [7] 7. Chouhan, N.S., Griffith, L.C., Haynes, P., and Sehgal, A. (2021). Availabil- ity of food determines the need for sleep in memory consolidation. Nature 589, 582-585. https://doi.org/10.1038/s41586-020-2997-y. sourceExperimental — accuracy not yet measured

In the paper

“Sleep is a brain state that is characterized by a large-scale organization of neuronal activity that captures virtually all brain regions”

What the sources say

• Partly supported

  The Introduction (page unavailable) describes brain states in terms of neuronal and regional activity, and Cellular and Network Mechanisms of State-Dependent Activity says slow oscillations are prevalent during sleep. But the latter describes oscillations generated in local cortical regions; our copy does not establish that sleep organizes neuronal activity across virtually all brain regions. (LLM, conf=0.76)

  cites [8] 8. McCormick, D.A., Nestvogel, D.B., and He, B.J. (2020). Neuromodulation of brain state and behavior. Annu. Rev. Neurosci. 43, 391-415. https:// doi.org/10.1146/annurev-neuro-100219-105424. sourceExperimental — accuracy not yet measured

In the paper

“converging with the findings in humans, these studies showed benefits from SWS for both hippocampus-dependent spatial and episodic-like memory as well as for memories considered non-hippocampus dependent”

What the sources say

• ?Not checked — no full text of the sourcecites [63] 63. Shein-Idelson, M., Ondracek, J.M., Liaw, H.P., Reiter, S., and Laurent, G. (2016). Slow waves, sharp waves, ripples, and REM in sleeping dragons. Science 352, 590-595. https://doi.org/10.1126/science.aaf3621. source
• ?Not checked — no full text of the sourcecites [64] 64. Binder, S., Berg, K., Gasca, F., Lafon, B., Parra, L.C., Born, J., and Marshall, L. (2014). Transcranial slow oscillation stimulation during sleep enhances memory consolidation in rats. Brain Stimul. 7, 508-515. https://doi.org/10.1016/j.brs.2014.03.001. source
• Partly supported

  The Abstract and Discussion (page not provided) report improved motor-skill performance in rats after NREM sleep, with reactivation linked to slow-wave oscillations. The Introduction mentions prior hippocampus-dependent studies, but this paper does not report SWS benefits for spatial or episodic-like memory; it also does not isolate SWS as the cause of the motor benefit. (LLM, conf=0.85)

  cites [65] 65. Ramanathan, D.S., Gulati, T., and Ganguly, K. (2015). Sleep-dependent reactivation of ensembles in motor cortex promotes skill consolidation. PLoS Biol. 13, e1002263. https://doi.org/10.1371/journal.pbio.1002263. sourceExperimental — accuracy not yet measured

In the paper

“it occurs also in other species such as zebra finch and fruit fly 75,76 underlining the universality of the phenomenon.”

What the sources say

• Supported

  The Discussion (page unavailable) reports increased activity during post-learning sleep in Drosophila neurons involved in courtship memory and links that reactivation to long-term memory consolidation. This supports the fruit-fly example attributed to this source; the zebra-finch example belongs to the other citation, while the statement about universality is the citing authors’ framing. (LLM, conf=0.92)

  cites [75] 75. Dag, U., Lei, Z., Le, J.Q., Wong, A., Bushey, D., and Keleman, K. (2019). Neuronal reactivation during post-learning sleep consolidates long-term memory in Drosophila. eLife 8, e42786. https://doi.org/10.7554/eL- ife.42786. source
• ?Not checked — no full text of the sourcecites [76] 76. Dave, A.S., and Margoliash, D. (2000). Song replay during sleep and computational rules for sensorimotor vocal learning. Science 290, 812-816. https://doi.org/10.1126/science.290.5492.812. source

In the paper

“Benefits of sleep have likewise been observed for procedural memories for perceptual and motor skills [15][16][17] which, in theory, represent memories that do not require hippocampal function.”

What the sources say

• ?Not checked — no full text of the sourcecites [15] 15. Mednick, S.C., Nakayama, K., Cantero, J.L., Atienza, M., Levin, A.A., Pa- thak, N., and Stickgold, R. (2002). The restorative effect of naps on perceptual deterioration. Nat. Neurosci. 5, 677-681. https://doi.org/10. 1038/nn864. source
• Partly supported

  The Discussion (page unavailable in our copy) reports that sleep stabilizes or restores performance on a procedural finger-tapping task, supporting a benefit for motor skill memory. The study does not examine perceptual skills or establish that these memories do not require hippocampal function. It also distinguishes stabilization from additional performance gains. (LLM, conf=0.86)

  cites [16] 16. Nettersheim, A., Hallschmid, M., Born, J., and Diekelmann, S. (2015). The role of sleep in motor sequence consolidation: stabilization rather than enhancement. J. Neurosci. 35, 6696-6702. https://doi.org/10.1523/ JNEUROSCI.1236-14.2015. sourceExperimental — accuracy not yet measured
• ?Not checked — no full text of the sourcecites [17] 17. Schmid, D., Erlacher, D., Klostermann, A., Kredel, R., and Hossner, E.J. (2020). Sleep-dependent motor memory consolidation in healthy adults: A meta-analysis. Neurosci. Biobehav. Rev. 118, 270-281. https://doi. org/10.1016/j.neubiorev.2020.07.028. source

In the paper

“when asked to remember picture scenes comprising neutral as well as aversive features, post-encoding sleep produced a greater memory benefit for the aversive than neutral features of the scene.”

What the sources say

• ?Could not verify

  The supplied copy discusses investment and ownership (Results, p. 17), not sleep or memory. Searches for post-encoding sleep, aversive features, and picture scenes returned no passages for the cited DOI, so the claim cannot be checked against our copy. (LLM, conf=0.75)

  cites [24] 24. Payne, J.D., Stickgold, R., Swanberg, K., and Kensinger, E.A. (2008). Sleep preferentially enhances memory for emotional components of scenes. Psychol. Sci. 19, 781-788. https://doi.org/10.1111/j.1467- 9280.2008.02157.x. sourceExperimental — accuracy not yet measured
• Supported

  The Discussion (page unavailable) reports that sleep preferentially consolidates emotional objects embedded within a scene rather than the image as a whole. This supports the claimed greater benefit for aversive than neutral scene features, although the passage describes a finding from prior work rather than Nishida et al.’s own experiment. (LLM, conf=0.88)

  cites [25] 25. Nishida, M., Pearsall, J., Buckner, R.L., and Walker, M.P. (2009). REM sleep, prefrontal theta, and the consolidation of human emotional memory. Cereb. Cortex 19, 1158-1166. https://doi.org/10.1093/cercor/bhn155. source

In the paper

“slow-wave activity (SWA) can occasionally intrude into ongoing REM sleep”

What the sources say

• Supported

  The Discussion (p. 14) reports local occipital slow waves during REM sleep and says they occur at a similar density in REM and NREM sleep. This supports the claim that slow-wave activity can occur during ongoing REM sleep. (LLM, conf=0.92)

  cites [11] 11. Bernardi, G., Betta, M., Ricciardi, E., Pietrini, P., Tononi, G., and Siclari, F. (2019). Regional delta waves in human rapid eye movement sleep. J. Neurosci. 39, 2686-2697. https://doi.org/10.1523/JNEUROSCI.2298- 18.2019. source
• ?Not checked — no full text of the sourcecites [12] 12. Siclari, F., Bernardi, G., Riedner, B.A., LaRocque, J.J., Benca, R.M., and Tononi, G. (2014). Two distinct synchronization processes in the transi- tion to sleep: A high-density electroencephalo-graphic study. Sleep 37, 1621-1637. https://doi.org/10.5665/sleep.4070. source

In the paper

“enhancing effects of sleep appeared to be particularly pronounced for prospective memories of plans in some cases, 30,31 whereas other studies on salient prospective memory failed to demonstrate similar effects.”

What the sources say

• Supported

  The General Discussion (page unavailable) reports that sleep benefited prospective remembering in Experiment 3 and in earlier studies using different tasks. It also says the benefit depends on the intention remaining active across sleep, consistent with the citing sentence’s qualification that the effect appeared in some cases. (LLM, conf=0.90)

  cites [30] 30. Barner, C., Seibold, M., Born, J., and Diekelmann, S. (2016). Consolidation of prospective memory: effects of sleep on completed and reinstated inten- tions. Front. Psychol. 7, 2025. https://doi.org/10.3389/fpsyg.2016.02025. source
• ?Not checked — no full text of the sourcecites [31] 31. Leong, R.L.F., Cheng, G.H., Chee, M.W.L., and Lo, J.C. (2019). The ef- fects of sleep on prospective memory: A systematic review and meta- analysis. Sleep Med. Rev. 47, 18-27. https://doi.org/10.1016/j.smrv. 2019.05.006. source
• Partly supported

  The ‘Future Relevance’ interim summary reports that some studies found a greater sleep benefit when a memory test was expected, while others found no such effect. That supports the claim of mixed findings, but these passages concern test expectancy and other cues of future relevance, not prospective memories of plans or salient prospective-memory tasks specifically. No page number is available in our copy. (LLM, conf=0.78)

  cites [27] 27. Davidson, P., Jo ¨nsson, P., Carlsson, I., and Pace-Schott, E. (2021). Does sleep selectively strengthen certain memories over others based on emotion and perceived future relevance? Nat. Sci. Sleep 13, 1257- 1306. https://doi.org/10.2147/NSS.S286701. sourceExperimental — accuracy not yet measured

In the paper

“there is also a number of studies that failed to demonstrate such effects, 39,40 indicating the existence of specific boundary conditions for sleep-dependent memory abstraction to occur.”

What the sources say

• ?Not checked — no full text of the sourcecites [39] 39. Brodt, S., Po ¨hlchen, D., T€ aumer, E., Gais, S., and Scho ¨nauer, M. (2018a). Incubation, not sleep, aids problem-solving. Sleep 41, zsy155. https:// doi.org/10.1093/sleep/zsy155. source
• Supported

  The Discussion’s “Summary of results” reports generalisation after learning but no significant effect of the sleep–wake manipulation. “Related findings” describes differing results across task types, consistent with task-specific boundary conditions. The paper does not establish exactly what those conditions are. (LLM, conf=0.90)

  cites [40] 40. Talamini, L.M., van Moorselaar, D.V., Bakker, R., Bulath, M., Szegedi, S., Sinichi, M., and De Boer, M. (2022). No evidence for a preferential role of sleep in episodic memory abstraction. Front. Neurosci. 16, 871188. https://doi.org/10.3389/fnins.2022.871188. source

In the paper

“Reactivations in extrahippocampal/cortical areas tend to coincide with oscillatory hallmarks of memory consolidation during sleep, such as SOs and spindles, 65,88,90,96 but also with hippocampal SPW-Rs, 96,99,101,103”

What the sources say

• Supported

  The Results section (“Relationship of Reactivation Events to Spindles/Slow-Wave Oscillations”) reports that motor-cortex reactivations after learning were coupled to fast spindles and slow oscillations. The Discussion also reports prior findings of cortical reactivation coupled to slow oscillations and, in prefrontal cortex, hippocampal sharp-wave ripples; it distinguishes those findings from this paper’s motor-cortex result. (LLM, conf=0.88)

  cites [65] 65. Ramanathan, D.S., Gulati, T., and Ganguly, K. (2015). Sleep-dependent reactivation of ensembles in motor cortex promotes skill consolidation. PLoS Biol. 13, e1002263. https://doi.org/10.1371/journal.pbio.1002263. source
• ?Not checked — no full text of the sourcecites [88] 88. Ji, D., and Wilson, M.A. (2007). Coordinated memory replay in the visual cortex and hippocampus during sleep. Nat. Neurosci. 10, 100-107. https://doi.org/10.1038/nn1825. source
• Partly supported

  The Results section (‘Changes in Functional Coupling During Sleep’; page unavailable) says cortical reactivation events are tightly related to slow oscillations. The Discussion (‘Neuroprosthetic Memory Consolidation and Slow Oscillations’; page unavailable) says spindles occur with activity during slow-oscillation UP states and notes a link between cortical slow oscillations and hippocampal ripples. It does not establish that the cortical reactivations themselves coincide with spindles or hippocampal sharp-wave ripples. (LLM, conf=0.86)

  cites [90] 90. Gulati, T., Guo, L., Ramanathan, D.S., Bodepudi, A., and Ganguly, K. (2017). Neural reactivations during sleep determine network credit assignment. Nat. Neurosci. 20, 1277-1284. https://doi.org/10.1038/ nn.4601. sourceExperimental — accuracy not yet measured
• Partly supported

  The Discussion reports enhanced reactivation of behavioral templates in rat parietal cortex simultaneously with cortical delta waves and hippocampal CA1 sharp-wave ripples during sleep. This supports the cortical-reactivation and hippocampal-ripple portions, but our copy does not establish coincidence with sleep spindles or specifically identify the delta waves as slow oscillations (SOs). (LLM, conf=0.86)

  cites [96] 96. Wilber, A.A., Skelin, I., Wu, W., and McNaughton, B.L. (2017). Laminar orga- nization of encoding and memory reactivation in the parietal cortex. Neuron 95, 1406-1419.e5. https://doi.org/10.1016/j.neuron.2017.08.033. sourceExperimental — accuracy not yet measured
• ?Not checked — no full text of the sourcecites [99] 99. Peyrache, A., Khamassi, M., Benchenane, K., Wiener, S.I., and Battaglia, F.P. (2009). Replay of rule-learning related neural patterns in the prefron- tal cortex during sleep. Nat. Neurosci. 12, 919-926. https://doi.org/10. 1038/nn.2337. 100. Girardeau, G., Inema, I., and Buzsa ´ki, G. (2017). Reactivations of emotional memory in the hippocampus-amygdala system during sleep. Nat. Neurosci. 20, 1634-1642. https://doi.org/10.1038/nn.4637. 101. Gomperts, S.N., Kloosterman, F., and Wilson, M.A. (2015). VTA neurons coordinate with the hippocampal reactivation of spatial experience. eLife 4, e053 source
• Partly supported

  The Results and Discussion report that memory reactivation was timed to cortical slow-oscillation–spindle complexes. The Discussion explicitly says the study’s scalp EEG data remain agnostic about hippocampal ripples; although it discusses related ripple findings, it does not establish that the cortical reactivations observed here coincided with hippocampal sharp-wave ripples. No page numbers are available in our copy. (LLM, conf=0.88)

  cites [101] 101. Schreiner, T., Petzka, M., Staudigl, T., and Staresina, B.P. (2021). Endog- enous memory reactivation during sleep in humans is clocked by slow oscillation-spindle complexes. Nat. Commun. 12, 3112. https://doi.org/ 10.1038/s41467-021-23520-2. 115. Hu, X., Cheng, L.Y., Chiu, M.H., and Paller, K.A. (2020). Promoting mem- ory consolidation during sleep: A meta-analysis of targeted memory re- activation. Psychol. Bull. 146, 218-244. https://doi.org/10.1037/ bul0000223. 116. sourceExperimental — accuracy not yet measured
• Partly supported

  In “Retrieval as a rapid consolidation event” (page not provided), the paper describes sleep reactivation in hippocampal-neocortical circuits facilitated by coordinated oscillatory interactions. It does not specify slow oscillations, spindles, or hippocampal sharp-wave ripples, or state that cortical reactivations tend to coincide with those events. (LLM, conf=0.83)

  cites [103] 103. Antony, J.W., Ferreira, C.S., Norman, K.A., and Wimber, M. (2017). Retrieval as a fast route to memory consolidation. Trends Cogn. Sci. 21, 573-576. https://doi.org/10.1016/j.tics.2017.05.001. 123. Cheng, L.Y., Che, T., Tomic, G., Slutzky, M.W., and Paller, K.A. (2021). Memory reactivation during sleep improves execution of a challenging motor skill. J. Neurosci. 41, 9608-9616. https://doi.org/10.1523/JNEUR- OSCI.0265-21.2021. 124. sourceExperimental — accuracy not yet measured

In the paper

“Disrupting postexposure hippocampal activity during SPW-Rs via electrical stimulation or optogenetic silencing diminished reinstatement of ensemble firing patterns and, subsequently, impaired memory recall during re-exposure to the learning task.”

What the sources say

• ?Not checked — no full text of the sourcecites [84] 84. Girardeau, G., Benchenane, K., Wiener, S.I., Buzsa ´ki, G., and Zugaro, M.B. (2009). Selective suppression of hippocampal ripples impairs spatial mem- ory. Nat. Neurosci. 12, 1222-1223. https://doi.org/10.1038/nn.2384. source
• Partly supported

  The Results section reports that optogenetic silencing during postexposure sharp wave-ripples impaired assembly-pattern reinstatement during re-exposure to a novel enclosure, but not a familiar one. The Discussion attributes impaired spatial-memory performance after electrical stimulation to previous studies; this paper does not report that its optogenetic intervention impaired behavioral memory recall during re-exposure. (LLM, conf=0.88)

  cites [85] 85. van de Ven, G.M., Trouche, S., McNamara, C.G., Allen, K., and Dupret, D. (2016). Hippocampal offline reactivation consolidates recently formed cell assembly patterns during sharp wave-ripples. Neuron 92, 968-974. https://doi.org/10.1016/j.neuron.2016.10.020. sourceExperimental — accuracy not yet measured

In the paper

“Reactivations were found to occur coupled to the oscillatory hallmarks of non-REM sleep, specifically to hippocampal ripples 112 and to spindles coupled to SOs, but not to solitary SOs or spindles”

What the sources say

• Supported

  Citation 112 is attached to the hippocampal-ripple part of the sentence. The Introduction states that hippocampal ripples facilitate reactivation of recently learned information, supporting that attribution. The claims about solitary SOs and spindles are not attributed to this citation. (LLM, conf=0.88)

  cites [112] 112. Helfrich, R.F., Lendner, J.D., Mander, B.A., Guillen, H., Paff, M., Mnatsa- kanyan, L., Vadera, S., Walker, M.P., Lin, J.J., and Knight, R.T. (2019). Bidirectional prefrontal-hippocampal dynamics organize information transfer during sleep in humans. Nat. Commun. 10, 3572. https://doi. org/10.1038/s41467-019-11444-x. 187. source
• Partly supported

  The paper reports that hippocampal ripples co-occur with cortical ripples during NREM sleep and links ripple coupling to the transfer of memory traces (Abstract; passage on Fig. 2). This supports an association between hippocampal ripples and memory-related activity, but it does not report measuring reactivations coupled to those ripples. Citation 112 follows “hippocampal ripples,” so the later comparison with solitary SOs or spindles is not treated as attributed to this source. (LLM, conf=0.79)

  cites [114] 114. Khodagholy, D., Gelinas, J.N., and Buzsa ´ki, G. (2017). Learning- enhanced coupling between ripple oscillations in association cortices and hippocampus. Science 358, 369-372. 192. sourceExperimental — accuracy not yet measured

In the paper

“Hippocampal replay occurs temporally coupled to hippocampal SPW-Rs, a characteristic pattern in the hippocampal LFP consisting of a large amplitude negative deflection originating from CA3, followed by a short fast oscillation in the range of 110-200 Hz, which appears predominantly during non-REM sleep, but also more generally during periods of immobility.”

What the sources say

• Supported

  The Computing with SPW-Rs section says waking content is replayed during SPW-Rs. The Behavioral Correlates and Mechanisms of SPW Generation section says SPW-Rs occur most frequently during non-REM sleep, followed by prolonged immobility. Page numbers are unavailable in our copy. (LLM, conf=0.94)

  cites [82] 82. Buzsa ´ki, G. (2015). Hippocampal sharp wave-ripple: A cognitive biomarker for episodic memory and planning. Hippocampus 25, 1073- 1188. https://doi.org/10.1002/hipo.22488. source

In the paper

“representations of rewarded spatial locations are preferentially reactivated in both wake and sleep states, 80,81,[142][143][144] although there are also findings of a bias of reactivations in the opposite direction.”

What the sources say

• ?Not checked — no full text of the sourcecites [80] 80. Diba, K., and Buzsa ´ki, G. (2007). Forward and reverse hippocampal place-cell sequences during ripples. Nat. Neurosci. 10, 1241-1242. https://doi.org/10.1038/nn1961. source
• ?Not checked — no full text of the sourcecites [81] 81. Foster, D.J., and Wilson, M.A. (2006). Reverse replay of behavioural se- quences in hippocampal place cells during the awake state. Nature 440, 680-683. https://doi.org/10.1038/nature04587. source
• Partly supported

  The Abstract reports that awake reverse replay at reward locations increased with increased reward, while forward replay did not. The Introduction says replay also occurs during slow-wave sleep, but our copy does not establish preferential reactivation of rewarded locations during sleep. The cited paper therefore supports the awake component, not the claim across both states. (LLM, conf=0.88)

  cites [142] sourceExperimental — accuracy not yet measured
• Partly supported

  The Discussion (p. 8) reports a bias toward replay of the highly rewarded arm during awake learning and the subsequent rest period. The Results (p. 5) describe the delay period as quiescence, not a measured sleep state, so this paper does not establish preferential reactivation specifically during sleep. The opposite-direction finding appears after the citation and is not attributed to this source. (LLM, conf=0.86)

  cites [143] sourceExperimental — accuracy not yet measured
• Partly supported

  The ‘Trajectory events over-represent a known goal location’ section reports that hippocampal events over-represented the rewarded HOME location during awake behavior. The paper mentions replay during sleep, but does not report preferential reactivation of rewarded locations during sleep. The citation appears before the separate clause about a bias in the opposite direction. (LLM, conf=0.88)

  cites [144] sourceExperimental — accuracy not yet measured
• ?Not checked — no full text of the sourcecites [145] source
• ?Not checked — no full text of the sourcecites [146] source

In the paper

“In hippocampal networks, rates of replay and reactivation are highest within the first 10-30 min of post-encoding sleep and appear to rapidly fade later.”

What the sources say

• ?Not checked — no full text of the sourcecites [79] 79. Wilson, M.A., and McNaughton, B.L. (1994). Reactivation of hippocam- pal ensemble memories during sleep. Science 265, 676-679. https:// doi.org/10.1126/science.8036517. source
• ?Not checked — no full text of the sourcecites [88] 88. Ji, D., and Wilson, M.A. (2007). Coordinated memory replay in the visual cortex and hippocampus during sleep. Nat. Neurosci. 10, 100-107. https://doi.org/10.1038/nn1825. source
• ?Not checked — no full text of the sourcecites [100] 100. Maquet, P., Laureys, S., Peigneux, P., Fuchs, S., Petiau, C., Phillips, C., Aerts, J., Del Fiore, G., Degueldre, C., Meulemans, T., et al. (2000). Expe- rience-dependent changes in cerebral activation during human REM sleep. Nat. Neurosci. 3, 831-836. https://doi.org/10.1038/77744. 107. Peigneux, P., Laureys, S., Fuchs, S., Collette, F., Perrin, F., Reggers, J., Phil- lips, C., Degueldre, C., Del Fiore, G., Aerts, J., et al. (2004). Are spatial mem- ories strengthened in the human hippocampus during slow wave sleep? Neuron 44, 535-545. https://doi.org/10.1016/j.neuron.2004.10.007. 108. Be source
• ?Could not verify

  The Discussion discusses possible hippocampal involvement in infants’ memory, and Methods > Procedure reports an average nap duration of 39.6 minutes; neither addresses rates of hippocampal replay or reactivation. Searches for replay, reactivation, and a 10–30-minute post-encoding peak found no passage supporting the claimed time course. Page numbers were not available in our copy. (LLM, conf=0.76)

  cites [131] 131. Friedrich, M., Mo ¨lle, M., Born, J., and Friederici, A.D. (2022). Memory for nonadjacent dependencies in the first year of life and its relation to sleep. Nat. Commun. 13, 7896. https://doi.org/10.1038/s41467-022-35558-x. 272. Mooney, L.N., Johnson, E.G., Prabhakar, J., and Ghetti, S. (2021). Mem- ory-related hippocampal activation during sleep and temporal memory in toddlers. Dev. Cogn. Neurosci. 47, 100908. https://doi.org/10.1016/j. dcn.2020.100908. 273. Johnson, E.G., Mooney, L., Graf Estes, K., Nordahl, C.W., and Ghetti, S. (2021). Activation for newly learned words in left medial-t sourceExperimental — accuracy not yet measured

In the paper

“REM reactivation differs from that during SWS, as it occurs independently of SPW-Rs, shows no temporal compression and mainly occurs during pre-task sleep.”

What the sources say

• Partly supported

  The Results, §2(b), report stronger REM activation in Rest 1 (pre-task sleep) than in Rest 2. Results §2(a) found no evidence of temporally compressed replay, but also detected no clear sequential reactivation in either REM or SWS. Our copy does not establish that REM reactivation occurs independently of sharp-wave ripples. (LLM, conf=0.86)

  cites [68] 68. Eckert, M.J., McNaughton, B.L., and Tatsuno, M. (2020). Neural ensemble reactivation in rapid eye movement and slow-wave sleep co- ordinate with muscle activity to promote rapid motor skill learning. Philos. Trans. R. Soc. Lond. B Biol. Sci. 375, 20190655. https://doi.org/10.1098/ rstb.2019.0655. sourceExperimental — accuracy not yet measured
• ?Could not verify

  The Discussion mentions neuronal reactivation during sleep only in general terms, while the Results examine brain activity across repeated maze-learning encounters. Searches for REM reactivation, SPW-Rs, temporal compression, and pre-task sleep found no passage addressing the claimed differences from SWS. (LLM, conf=0.76)

  cites [135] 135. Brodt, S., Po ¨hlchen, D., Flanagin, V.L., Glasauer, S., Gais, S., and Scho ¨- nauer, M. (2016). Rapid and independent memory formation in the pari- etal cortex. Proc. Natl. Acad. Sci. USA 113, 13251-13256. https://doi. org/10.1073/pnas.1605719113. 293. Himmer, L., Scho ¨nauer, M., Heib, D.P.J., Schabus, M., and Gais, S. (2019). Rehearsal initiates systems memory consolidation, sleep makes it last. Sci. Adv. 5, eaav1695. https://doi.org/10.1126/sciadv. aav1695. 294. sourceExperimental — accuracy not yet measured

In the paper

“timing of cue delivery in relation to SOs, 129 spindles, or spindle refractory periods, respectively, 116,117,127 or the phase-coupling of spindles to the SO peak or trough 125 may substantially affect the effect of TMR on memory performance.”

What the sources say

• ?Could not verify

  The Results and Discussion passage concerns hippocampal replay and theta sequences during rat development, not cue delivery or targeted memory reactivation. Searches for TMR timing and for spindle coupling to slow-oscillation peaks or troughs found no passage addressing their effects on memory performance. No page numbers are available in our copy. (LLM, conf=0.76)

  cites [129] 129. Muessig, L., Lasek, M., Varsavsky, I., Cacucci, F., and Wills, T.J. (2019). Coordinated emergence of hippocampal replay and theta sequences during post-natal development. Curr. Biol. 29, 834-840.e4. https://doi. org/10.1016/j.cub.2019.01.005. 256. Farooq, U., and Dragoi, G. (2019). Emergence of preconfigured and plas- tic time-compressed sequences in early postnatal development. Science 363, 168-173. https://doi.org/10.1126/science.aav0502. 257. Prehn-Kristensen, A., Go ¨der, R., Chirobeja, S., Bressmann, I., Ferstl, R., and Baving, L. (2009). Sleep in children enhances preferentially emo sourceExperimental — accuracy not yet measured
• Partly supported

  The Results (Event-locked analysis; page unavailable) show that spindle power varies with SO phase, supporting the phase-coupling part of the citation. The paper does not test TMR cues or whether this coupling affects TMR-related memory performance; the Discussion says whether the observed coupling directly relates to episodic memory remains an open question. (LLM, conf=0.86)

  cites [116] 116. Staresina, B.P., Bergmann, T.O., Bonnefond, M., van der Meij, R., Jen- sen, O., Deuker, L., Elger, C.E., Axmacher, N., and Fell, J. (2015). Hierar- chical nesting of slow oscillations, spindles and ripples in the human hip- pocampus during sleep. Nat. Neurosci. 18, 1679-1686. https://doi.org/ 10.1038/nn.4119. 198. Mo ¨lle, M., and Born, J. (2011). Slow oscillations orchestrating fast oscil- lations and memory consolidation. In Prog. Brain Res., 193, pp. 93-110. 199. Oyanedel, C.N., Dura ´n, E., Niethard, N., Inostroza, M., and Born, J. (2020). Temporal associations between sleep slow osci sourceExperimental — accuracy not yet measured
• ?Not checked — no full text of the sourcecites [117] 117. Aston-Jones, G., and Bloom, F.E. (1981). Activity of norepinephrine-con- taining locus coeruleus neurons in behaving rats anticipates fluctuations in the sleep-waking cycle. J. Neurosci. 1, 876-886. https://doi.org/10. 1523/JNEUROSCI.01-08-00876.1981. 207. Berridge, C.W. (2008). Noradrenergic modulation of arousal. Brain Res. Rev. 58, 1-17. https://doi.org/10.1016/j.brainresrev.2007.10.013. 208. Rodenkirch, C., Liu, Y., Schriver, B.J., and Wang, Q. (2019). Locus coeru- leus activation enhances thalamic feature selectivity via norepinephrine regulation of intrathalamic circuit dynamics. Na source
• ?Could not verify

  The Results section on changes within NREM sleep cycles describes variation in spindle activity, but does not examine cue delivery or TMR memory performance. Searches of our copy for spindle refractory periods, targeted memory reactivation, and SO–spindle phase coupling found no passage linking their timing to TMR outcomes. (LLM, conf=0.76)

  cites [127] 127. Purcell, S.M., Manoach, D.S., Demanuele, C., Cade, B.E., Mariani, S., Cox, R., Panagiotaropoulou, G., Saxena, R., Pan, J.Q., Smoller, J.W., et al. (2017). Characterizing sleep spindles in 11,630 individuals from the National Sleep Research Resource. Nat. Commun. 8, 15930. https://doi.org/10.1038/ncomms15930. 253. sourceExperimental — accuracy not yet measured
• ?Could not verify

  The Discussion (page unavailable) reports coupling between sleep spindles and dendritic calcium activity, but says its relationship to cognitive function remains to be determined. Searches for spindle coupling to SO peaks or troughs and for TMR cue timing found no passage addressing whether either affects memory performance. (LLM, conf=0.78)

  cites [125] 125. Seibt, J., Richard, C.J., Sigl-Glo ¨ckner, J., Takahashi, N., Kaplan, D.I., Doron, G., de Limoges, D., Bocklisch, C., and Larkum, M.E. (2017). Cortical dendritic activity correlates with spindle-rich oscillations during sleep in rodents. Nat. Commun. 8, 684. https://doi.org/10.1038/ s41467-017-00735-w. 241. sourceExperimental — accuracy not yet measured

In the paper

“Studies directly comparing non-REM and REM sleep found no evidence for hippocampal place cell reactivations 131 or coordinated hippocampal-subcortical reactivations in a spatial task with an aversive emotional component 100 during REM sleep.”

What the sources say

• ?Could not verify

  The Results passages concern infants’ memory for speech patterns after a nap, including associations with non-REM sleep and spindles; they do not report a direct non-REM-versus-REM comparison. Searches for REM sleep, hippocampal reactivation, and an aversive spatial task found no passage addressing the claim. No page numbers were provided in our copy. (LLM, conf=0.78)

  cites [131] 131. Friedrich, M., Mo ¨lle, M., Born, J., and Friederici, A.D. (2022). Memory for nonadjacent dependencies in the first year of life and its relation to sleep. Nat. Commun. 13, 7896. https://doi.org/10.1038/s41467-022-35558-x. 272. Mooney, L.N., Johnson, E.G., Prabhakar, J., and Ghetti, S. (2021). Mem- ory-related hippocampal activation during sleep and temporal memory in toddlers. Dev. Cogn. Neurosci. 47, 100908. https://doi.org/10.1016/j. dcn.2020.100908. 273. Johnson, E.G., Mooney, L., Graf Estes, K., Nordahl, C.W., and Ghetti, S. (2021). Activation for newly learned words in left medial-t sourceExperimental — accuracy not yet measured
• ?Not checked — no full text of the sourcecites [100] 100. Maquet, P., Laureys, S., Peigneux, P., Fuchs, S., Petiau, C., Phillips, C., Aerts, J., Del Fiore, G., Degueldre, C., Meulemans, T., et al. (2000). Expe- rience-dependent changes in cerebral activation during human REM sleep. Nat. Neurosci. 3, 831-836. https://doi.org/10.1038/77744. 107. Peigneux, P., Laureys, S., Fuchs, S., Collette, F., Perrin, F., Reggers, J., Phil- lips, C., Degueldre, C., Del Fiore, G., Aerts, J., et al. (2004). Are spatial mem- ories strengthened in the human hippocampus during slow wave sleep? Neuron 44, 535-545. https://doi.org/10.1016/j.neuron.2004.10.007. 108. Be source

In the paper

“Reactivation of ensemble firing patterns was first identified during sleep, 79,136 but the phenomenon occurs likewise during quiet rest as well as during active behavior, in rodents 80,81,137,138 as well as in humans.”

What the sources say

• ?Not checked — no full text of the sourcecites [79] 79. Wilson, M.A., and McNaughton, B.L. (1994). Reactivation of hippocam- pal ensemble memories during sleep. Science 265, 676-679. https:// doi.org/10.1126/science.8036517. source
• ?Not checked — no full text of the sourcecites [136] 136. Aru, J., Dr€ uke, M., Pikam€ ae, J., and Larkum, M.E. (2023). Mental naviga- tion and the neural mechanisms of insight. Trends Neurosci. 46, 100-109. https://doi.org/10.1016/j.tins.2022.11.002. source
• ?Not checked — no full text of the sourcecites [80] 80. Diba, K., and Buzsa ´ki, G. (2007). Forward and reverse hippocampal place-cell sequences during ripples. Nat. Neurosci. 10, 1241-1242. https://doi.org/10.1038/nn1961. source
• ?Not checked — no full text of the sourcecites [81] 81. Foster, D.J., and Wilson, M.A. (2006). Reverse replay of behavioural se- quences in hippocampal place cells during the awake state. Nature 440, 680-683. https://doi.org/10.1038/nature04587. source
• Supported

  The Introduction describes hippocampal ensemble reactivation during sleep and extended awake immobility. The Results report replay during waking run sessions in rats, and the Discussion reports related patterns during waking behavior in humans. The rat replay events were examined during brief pauses, not while the animals were moving. (LLM, conf=0.88)

  cites [137] source
• Supported

  The Results (page unavailable) report reactivation of hippocampal–prefrontal ensembles in rats during a spatial-learning task. The events occurred during brief immobility at reward wells within that task, supporting the citation’s rodent active-behavior example; the paper’s Introduction also describes replay during sleep and non-exploratory waking states. The human portion of the citing sentence is not specifically attributed to this source. (LLM, conf=0.86)

  cites [138] source
• Partly supported

  The Introduction reports that rodent neuronal firing sequences recur during sleep and that human studies show reactivation of learning-related brain regions during sleep. It does not say reactivation was first identified during sleep. The citations attached to quiet rest and active behavior are separate, and this paper does not address those settings. (LLM, conf=0.82)

  cites [104] 104. Cousins, J.N., El-Deredy, W., Parkes, L.M., Hennies, N., and Lewis, P.A. (2014). Cued memory reactivation during slow-wave sleep promotes explicit knowledge of a motor sequence. J. Neurosci. 34, 15870- 15876. https://doi.org/10.1523/JNEUROSCI.1011-14.2014. 125. Nicolas, J., King, B.R., Levesque, D., Lazzouni, L., Coffey, E., Swinnen, S., Doyon, J., Carrier, J., and Albouy, G. (2022). Sigma oscillations pro- tect or reinstate motor memory depending on their temporal coordination with slow waves. eLife 11, e73930. https://doi.org/10.7554/eLife.73930. 126. van Dongen, E.V., Takashima, A., Ba sourceExperimental — accuracy not yet measured
• Partly supported

  The Discussion reports reactivation in rat hippocampal ensembles during slow-wave sleep and quiet wakefulness; the ‘Sleep per se is unnecessary for trace reactivation’ section also documents it in an alert but relatively motionless rat. The paper does not establish reactivation during active behavior or in humans: active running supplied the preceding experience whose patterns were later reactivated. Page numbers are unavailable in our copy. (LLM, conf=0.88)

  cites [105] 105. Batterink, L.J., Creery, J.D., and Paller, K.A. (2016). Phase of sponta- neous slow oscillations during sleep influences memory-related process- ing of auditory cues. J. Neurosci. 36, 1401-1409. https://doi.org/10. 1523/JNEUROSCI.3175-15.2016. 130. Bendor, D., and Wilson, M.A. (2012). Biasing the content of hippocampal replay during sleep. Nat. Neurosci. 15, 1439-1444. https://doi.org/10. 1038/nn.3203. 131. Kudrimoti, H.S., Barnes, C.A., and McNaughton, B.L. (1999). Reactiva- tion of hippocampal cell assemblies: effects of behavioral state, experi- ence, and EEG dynamics. J. Neurosci. 19, sourceExperimental — accuracy not yet measured
• Partly supported

  The Introduction says hippocampal ripples during NREM sleep facilitate reactivation of recently learned information. It does not establish that reactivation of ensemble firing patterns was first identified during sleep. The quiet-rest and active-behavior portions of the citing sentence have separate citations and are not attributed to this paper. (LLM, conf=0.83)

  cites [112] 112. Helfrich, R.F., Lendner, J.D., Mander, B.A., Guillen, H., Paff, M., Mnatsa- kanyan, L., Vadera, S., Walker, M.P., Lin, J.J., and Knight, R.T. (2019). Bidirectional prefrontal-hippocampal dynamics organize information transfer during sleep in humans. Nat. Commun. 10, 3572. https://doi. org/10.1038/s41467-019-11444-x. 187. sourceExperimental — accuracy not yet measured

In the paper

“Such a shift in reactivation probabilities in favor of the cued stimuli is likewise suggested by studies in humans, which show a negative effect of TMR for the consolidation of uncued memories.”

What the sources say

• ?Could not verify

  The Results section on learning, memory, and cognitive performance and the Discussion compare sufficient sleep with sleep deprivation; they do not report targeted memory reactivation (TMR). Searches for TMR, reactivation probabilities, and uncued memories found no passage addressing whether cueing impairs consolidation of uncued memories. Page numbers were not available in our copy. (LLM, conf=0.76)

  cites [122] 122. Salehinejad, M.A., Ghanavati, E., Reinders, J., Hengstler, J.G., Kuo, M.F., and Nitsche, M.A. (2022). Sleep-dependent upscaled excitability, satu- rated neuroplasticity, and modulated cognition in the human brain. eLife 11, e69308. https://doi.org/10.7554/eLife.69308. 231. Li, W., Ma, L., Yang, G., and Gan, W.B. (2017). REM sleep selectively prunes and maintains new synapses in development and learning. Nat. Neurosci. 20, 427-437. https://doi.org/10.1038/nn.4479. 232. Grosmark, A.D., Mizuseki, K., Pastalkova, E., Diba, K., and Buzsa ´ki, G. (2012). REM sleep reorganizes hippocampal excita sourceExperimental — accuracy not yet measured
• ?Not checked — no full text of the sourcecites [124] 124. Aime, M., Calcini, N., Borsa, M., Campelo, T., Rusterholz, T., Sattin, A., Fellin, T., and Adamantidis, A. (2022). Paradoxical somatodendritic de- coupling supports cortical plasticity during REM sleep. Science 376, 724-730. https://doi.org/10.1126/science.abk2734. 236. Dong, Y., Li, J., Zhou, M., Du, Y., and Liu, D. (2022). Cortical regulation of two-stage rapid eye movement sleep. Nat. Neurosci. 25, 1675-1682. https://doi.org/10.1038/s41593-022-01195-2. 237. Wang, Z., Fei, X., Liu, X., Wang, Y., Hu, Y., Peng, W., Wang, Y.W., Zhang, S., and Xu, M. (2022). REM sleep is associated with dis source

In the paper

“It is associated with increased SO power, amplitude and density, 120,125,128 increased spindle power and density, 116,117,120,128 as well as improved SO-spindle coupling, 120 and these characteristics are often associated with the TMRinduced memory advantage.”

What the sources say

• ?Not checked — no full text of the sourcecites [120] 120. Boyce, R., Glasgow, S.D., Williams, S., and Adamantidis, A. (2016). Causal evidence for the role of REM sleep theta rhythm in contextual memory consolidation. Science 352, 812-816. https://doi.org/10.1126/ science.aad5252. 222. source
• ?Could not verify

  The Results section reports that greater sigma–beta power reflects greater spindle density in rats, but does not link either measure to cue delivery. The Discussion says the relationship between spindle-related activity and cognitive function remains to be determined. Searches for TMR cues, slow-oscillation changes, SO–spindle coupling, and a TMR-induced memory advantage found no passage addressing those claims. (LLM, conf=0.75)

  cites [125] 125. Seibt, J., Richard, C.J., Sigl-Glo ¨ckner, J., Takahashi, N., Kaplan, D.I., Doron, G., de Limoges, D., Bocklisch, C., and Larkum, M.E. (2017). Cortical dendritic activity correlates with spindle-rich oscillations during sleep in rodents. Nat. Commun. 8, 684. https://doi.org/10.1038/ s41467-017-00735-w. 241. sourceExperimental — accuracy not yet measured
• ?Could not verify

  The “Function of propagating SO” section links slow waves to sleep-dependent memory consolidation and reports stronger fast-spindle coupling for global slow waves. It does not address TMR cue delivery or report the claimed increases in SO or spindle measures, improved coupling after cues, or a TMR-induced memory advantage. Searches for TMR and cue delivery found no relevant passage in our copy. (LLM, conf=0.76)

  cites [128] 128. Schoch, S.F., Riedner, B.A., Deoni, S.C., Huber, R., LeBourgeois, M.K., and Kurth, S. (2018). Across-night dynamics in traveling sleep slow waves throughout childhood. Sleep 41, zsy165. https://doi.org/10. 1093/sleep/zsy165. 254. Timofeev, I., Schoch, S.F., LeBourgeois, M.K., Huber, R., Riedner, B.A., and Kurth, S. (2020). Spatio-temporal properties of sleep slow waves and implications for development. Curr. Opin. Physiol. 15, 172-182. https:// doi.org/10.1016/j.cophys.2020.01.007. 255. sourceExperimental — accuracy not yet measured
• Partly supported

  The Results (Event-locked analysis; page unavailable) show increased spindle power during SO up-states and SO–spindle coupling during sleep. The paper does not report TMR cue delivery or show that cues increase SO or spindle measures, improve coupling, or produce a TMR-induced memory advantage. The Discussion explicitly says whether the observed coupling directly relates to episodic memory remains an open question. (LLM, conf=0.85)

  cites [116] 116. Staresina, B.P., Bergmann, T.O., Bonnefond, M., van der Meij, R., Jen- sen, O., Deuker, L., Elger, C.E., Axmacher, N., and Fell, J. (2015). Hierar- chical nesting of slow oscillations, spindles and ripples in the human hip- pocampus during sleep. Nat. Neurosci. 18, 1679-1686. https://doi.org/ 10.1038/nn.4119. 198. Mo ¨lle, M., and Born, J. (2011). Slow oscillations orchestrating fast oscil- lations and memory consolidation. In Prog. Brain Res., 193, pp. 93-110. 199. Oyanedel, C.N., Dura ´n, E., Niethard, N., Inostroza, M., and Born, J. (2020). Temporal associations between sleep slow osci sourceExperimental — accuracy not yet measured
• ?Not checked — no full text of the sourcecites [117] 117. Aston-Jones, G., and Bloom, F.E. (1981). Activity of norepinephrine-con- taining locus coeruleus neurons in behaving rats anticipates fluctuations in the sleep-waking cycle. J. Neurosci. 1, 876-886. https://doi.org/10. 1523/JNEUROSCI.01-08-00876.1981. 207. Berridge, C.W. (2008). Noradrenergic modulation of arousal. Brain Res. Rev. 58, 1-17. https://doi.org/10.1016/j.brainresrev.2007.10.013. 208. Rodenkirch, C., Liu, Y., Schriver, B.J., and Wang, Q. (2019). Locus coeru- leus activation enhances thalamic feature selectivity via norepinephrine regulation of intrathalamic circuit dynamics. Na source

In the paper

“these studies revealed that, while biasing the content of memory reactivations toward the targeted memory information, TMR does not appear to increase the overall number of reactivation events.”

What the sources say

• Supported

  The Discussion reports that sounds during sleep biased reactivation content while overall SWR rates were lower during sound presentation than during quiet periods. The authors qualify the reduction as applying at least when stimuli are relatively novel and note higher rates for the learned target sound, but neither finding indicates an overall increase in reactivation events. (LLM, conf=0.90)

  cites [89] 89. Rothschild, G., Eban, E., and Frank, L.M. (2017). A cortical-hippocampal- cortical loop of information processing during memory consolidation. Nat. Neurosci. 20, 251-259. https://doi.org/10.1038/nn.4457. source
• ?Could not verify

  The Results section on frontal sleep spindles links spindle activity during infants’ naps to later episodic-memory responses, but does not assess targeted memory reactivation. Searches for TMR, sleep cues, and reactivation-event frequency found no passage comparing the content or overall number of reactivation events. (LLM, conf=0.77)

  cites [130] 130. Friedrich, M., Mo ¨lle, M., Friederici, A.D., and Born, J. (2020). Sleep- dependent memory consolidation in infants protects new episodic mem- ories from existing semantic memories. Nat. Commun. 11, 1298. https:// doi.org/10.1038/s41467-020-14850-8. 271. sourceExperimental — accuracy not yet measured

In the paper

“both sleep and wake replay can represent knowledge about an environment and also share anticipatory features, such that they can e.g., include offline ''pre-activations'' of trajectories entailing visible but yet unexplored paths and locations.”

What the sources say

• Partly supported

  The Abstract reports trajectory sequences that predict future behavior, including novel combinations of start and goal locations, and mentions replay during both sleep and wakefulness. The section ‘Trajectory events actively and flexibly reflect task demands’ specifies that the novel paths were over familiar terrain. The paper does not establish that sleep and wake replay both pre-activate visible but unexplored paths or locations. (LLM, conf=0.86)

  cites [144] sourceExperimental — accuracy not yet measured
• Partly supported

  The Discussion (page unavailable) says awake replay can express stored trajectories remote from the rat and resembles sequence reactivation during slow-wave sleep. It also suggests replay may represent possible future paths. But the paper describes these as stored sequences on a track the rats had explored; it does not establish pre-activation of paths or locations they had not yet explored, in either sleep or wake replay. (LLM, conf=0.86)

  cites [148] sourceExperimental — accuracy not yet measured
• Partly supported

  The Results (page unavailable) report offline preplay of the visible, unvisited, food-cued arm during rest, and the Discussion interprets it as preparation for future experience. The paper does not establish that both sleep and wake replay share this anticipatory feature; its reported finding concerns preplay during the specified rest period. (LLM, conf=0.84)

  cites [149] sourceExperimental — accuracy not yet measured

In the paper

“neural activity during REM sleep can be modulated by prior wake experience 106,134 and there have been occasional reports of reactivation-like phenomena in REM sleep.”

What the sources say

• ?Not checked — no full text of the sourcecites [106] 106. Poe, G.R., Nitz, D.A., McNaughton, B.L., and Barnes, C.A. (2000). Expe- rience-dependent phase-reversal of hippocampal neuron firing during REM sleep. Brain Res. 855, 176-180. https://doi.org/10.1016/s0006- 8993(99)02310-0. 135. Louie, K., and Wilson, M.A. (2001). Temporally structured replay of awake hippocampal ensemble activity during rapid eye movement sleep. Neuron 29, 145-156. https://doi.org/10.1016/s0896-6273(01)00186-6. 136. Pavlides, C., and Winson, J. (1989). Influences of hippocampal place cell firing in the awake state on the activity of these cells during subsequent sleep ep source
• ?Not checked — no full text of the sourcecites [134] 134. Brodt, S., Gais, S., Beck, J., Erb, M., Scheffler, K., and Scho ¨nauer, M. (2018). Fast track to the neocortex: A memory engram in the posterior pa- rietal cortex. Science 362, 1045-1048. https://doi.org/10.1126/science. aau2528. 292. source
• Supported

  The Results, §2(b) (page unavailable), report reach-related neural activation during REM sleep in rats trained on a motor task. The Introduction, §1, and Discussion, §3(a) (pages unavailable), also describe REM reactivation-like findings, while noting that much of the previously reported activity occurred before the task rather than afterward. (LLM, conf=0.90)

  cites [68] 68. Eckert, M.J., McNaughton, B.L., and Tatsuno, M. (2020). Neural ensemble reactivation in rapid eye movement and slow-wave sleep co- ordinate with muscle activity to promote rapid motor skill learning. Philos. Trans. R. Soc. Lond. B Biol. Sci. 375, 20190655. https://doi.org/10.1098/ rstb.2019.0655. source
• Supported

  The “Sleep and Structural Synaptic Changes” section reports task-related reactivation of branch-specific Ca2+ spikes during REM sleep following motor-task learning in mice. That example supports both the possibility that prior waking experience shapes REM activity and the statement that reactivation-like phenomena have been reported during REM sleep. No page number is available in our copy. (LLM, conf=0.88)

  cites [113] 113. Niethard, N., Burgalossi, A., and Born, J. (2017). Plasticity during sleep is linked to specific regulation of cortical circuit activity. Front. Neural Cir- cuits 11, 65. https://doi.org/10.3389/fncir.2017.00065. 188. Schreiner, T., Kaufmann, E., Noachtar, S., Mehrkens, J.H., and Staudigl, T. (2022). The human thalamus orchestrates neocortical oscillations dur- ing NREM sleep. Nat. Commun. 13, 5231. https://doi.org/10.1038/ s41467-022-32840-w. 189. Alizadeh, Z., Azimi, A., and Ghorbani, M. (2022). Enhancement of hippo- campal-thalamocortical temporal coordination during slow-frequency lon source
• Partly supported

  The Discussion (page unavailable) describes neuronal reactivation during sleep in the context of prior learning. It does not identify REM sleep or report that prior waking experience modulates neural activity specifically during REM sleep. The citation is attached to that first clause, not to the subsequent statement about occasional reactivation-like phenomena. (LLM, conf=0.79)

  cites [135] 135. Brodt, S., Po ¨hlchen, D., Flanagin, V.L., Glasauer, S., Gais, S., and Scho ¨- nauer, M. (2016). Rapid and independent memory formation in the pari- etal cortex. Proc. Natl. Acad. Sci. USA 113, 13251-13256. https://doi. org/10.1073/pnas.1605719113. 293. Himmer, L., Scho ¨nauer, M., Heib, D.P.J., Schabus, M., and Gais, S. (2019). Rehearsal initiates systems memory consolidation, sleep makes it last. Sci. Adv. 5, eaav1695. https://doi.org/10.1126/sciadv. aav1695. 294. sourceExperimental — accuracy not yet measured
• ?Not checked — no full text of the sourcecites [136] 136. Aru, J., Dr€ uke, M., Pikam€ ae, J., and Larkum, M.E. (2023). Mental naviga- tion and the neural mechanisms of insight. Trends Neurosci. 46, 100-109. https://doi.org/10.1016/j.tins.2022.11.002. source

In the paper

“SO downstates and subsequent spindles recorded in ANT preceded respective downstates and spindles in frontal cortex recordings by 50 and 100 ms, respectively, suggesting a leading role of the ANT in the initiation of SO-spindles and in optimizing their phase-amplitude coupling.”

What the sources say

• Supported

  Split into 2 atoms — 2 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  cites [188] source

In the paper

“Ripples occur with an oscillatory frequency of 80 Hz (in humans) in hippocampal networks in conjunction with a sharp wave arising from cornu ammonis 3 (CA3).82”

What the sources say

• Partly supported

  The Introduction (page unavailable) describes hippocampal ripples coupled to sharp waves, and “Various Inputs Can Induce CA1 Ripples” says sharp-wave bursts most often emerge from CA2–CA3a networks. The claimed 80 Hz human ripple frequency is not supported: the Introduction gives 110–200 Hz for ripples, while “Coordination of Fast Oscillations in CA3 and CA1 Regions” describes 80–90 Hz as a putative boundary between gamma and epsilon oscillations, not a ripple frequency. (LLM, conf=0.88)

  cites [82] 82. Buzsa ´ki, G. (2015). Hippocampal sharp wave-ripple: A cognitive biomarker for episodic memory and planning. Hippocampus 25, 1073- 1188. https://doi.org/10.1002/hipo.22488. sourceExperimental — accuracy not yet measured

In the paper

“Spindle activity is increased over cortical regions involved in prior learning and, moreover, positively correlates with post sleep retrieval performance 180,181 and appears to accompany memory reactivations during sleep.108,114”

What the sources say

• Partly supported

  The Results report increased spindle density after learning, greatest at the frontal Fz electrode, and a positive correlation with recall performance after sleep. Neither the Results nor Discussion establishes that the increase occurred over cortical regions involved in the prior learning task. The separate citations 108 and 114 attach to the memory-reactivation clause, so that clause is not attributed to this source. (LLM, conf=0.86)

  cites [180] sourceExperimental — accuracy not yet measured
• Partly supported

  The Results (Sleep spindle analysis; page unavailable) report that the learning-minus-non-learning hemisphere difference in spindle density and power positively correlated with motor-memory improvement after the nap. They found no significant increase in spindle density or power in the learning hemisphere compared with the non-learning hemisphere, and neither electrode alone showed a significant correlation. The memory-reactivation clause has separate citations and is not attributed to this paper. (LLM, conf=0.88)

  cites [181] sourceExperimental — accuracy not yet measured
• Partly supported

  The Discussion reports coordinated memory reactivation in the hippocampus and visual cortex during slow-wave-sleep up-states, alongside hippocampal ripples. It does not say that spindle activity accompanies those reactivations; spindles appear only in cited reference titles. The earlier claims about learning-related cortical increases and retrieval performance are attached to different citations. (LLM, conf=0.82)

  cites [108] 108. Davidson, T.J., Kloosterman, F., and Wilson, M.A. (2009). Hippocampal replay of extended experience. Neuron 63, 497-507. https://doi.org/10. 1016/j.neuron.2009.07.027. 149. O ´lafsdo ´ttir, H.F., Barry, C., Saleem, A.B., Hassabis, D., and Spiers, H.J. (2015). Hippocampal place cells construct reward related sequences through unexplored space. eLife 4, e06063. https://doi.org/10.7554/eL- ife.06063. 150. Stella, F., Baracskay, P., O'Neill, J., and Csicsvari, J. (2019). Hippocam- pal reactivation of random trajectories resembling brownian diffusion. Neuron 102, 450-461.e7. e457. https://doi. sourceExperimental — accuracy not yet measured

In the paper

“They also occur during quiet wakefulness, and outside the hippocampus, including entorhinal cortex and neocortex.[190][191][192]”

What the sources say

• ?Not checked — no full text of the sourcecites [190] source
• Partly supported

  The passage on posterior parietal cortex (section labeled Abstract; page unavailable) reports ripples during quiet wakefulness, and other passages report ripples in neocortical association areas. The paper mentions the entorhinal cortex as a possible route of excitation, but does not report ripples occurring there. (LLM, conf=0.87)

  cites [191] sourceExperimental — accuracy not yet measured
• Partly supported

  The Results section, “Ripple Detection during NREM and Waking” (page unavailable), reports hippocampal ripples during waking and cortical ripples in all lobes during waking, supporting occurrence outside the hippocampus, including neocortex. It does not specify quiet wakefulness, and the Discussion mentions entorhinal cortex without reporting ripples there. (LLM, conf=0.88)

  cites [192] sourceExperimental — accuracy not yet measured

In the paper

“However decoding classification accuracy strongly depended on the precision of SO-spindle coupling, which in turn strongly correlated with memory performance after sleep.”

What the sources say

• ?Could not verify

  The passages on sleep oscillations (section labeled Abstract; page unavailable) describe ripple–spindle timing and ripples occurring near slow-oscillation transitions. The postlearning passage reports stronger hippocampal–cortical ripple coupling. Searches for decoding classification accuracy and slow-oscillation–spindle coupling found no passage linking coupling precision to decoding accuracy or post-sleep memory performance. (LLM, conf=0.77)

  cites [114] 114. Khodagholy, D., Gelinas, J.N., and Buzsa ´ki, G. (2017). Learning- enhanced coupling between ripple oscillations in association cortices and hippocampus. Science 358, 369-372. 192. sourceExperimental — accuracy not yet measured

In the paper

“Fine-grained temporal analyses of event patterns revealed a second type of slow (7-12 Hz) spindle that accompanies the up-to-downstate transition of the SO, shows a more frontal cortical distribution, and is probably of different origin.184,185”

What the sources say

• Partly supported

  The temporal-analysis results (p. 5) place slow spindles at the transition into the SO down-state and show their strongest modulation in frontal channels. The Discussion (p. 8) describes a frontal cortical maximum and points toward separate generating mechanisms. However, the paper identifies these slow spindles as 9–12 Hz (Spindles, p. 2), not 7–12 Hz. (LLM, conf=0.88)

  cites [184] sourceExperimental — accuracy not yet measured
• Partly supported

  The Introduction describes slow spindles as strongest over frontal cortex and suggests distinct generating mechanisms; the Discussion reports their temporal association with the downward negative phase of the slow oscillation. However, this paper specifies slow spindles as 9–12 Hz in the Introduction or 8–12 Hz in the Methods, not 7–12 Hz, and does not pinpoint their occurrence to the up-to-downstate transition. Page numbers are unavailable in our copy. (LLM, conf=0.84)

  cites [185] sourceExperimental — accuracy not yet measured

In the paper

“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]”

What the sources say

• Partly supported

  Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  cites [168] sourceExperimental — accuracy not yet measured
• Partly supported

  Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  cites [169] sourceExperimental — accuracy not yet measured
• ?Not checked — no full text of the sourcecites [170] source

In the paper

“Encoding of the task, in this study, was indicated by a decrease in 6-20 Hz alpha/beta EEG activity, and the topographical overlap between this decrease and spindle power during post-learning sleep predicted later retrieval performance.”

What the sources say

• Partly supported

  The Results (‘EEG results: Spindle amplitude tracks encoding patterns’; page unavailable) report a 6–20 Hz alpha/beta power decrease during encoding and find that its topographical overlap with post-learning sleep spindles relates to sequence retention at post-sleep retrieval. The measured spindle feature was amplitude, not spindle power, and the behavioral measure was change from pre- to post-sleep retrieval rather than later retrieval performance alone. (LLM, conf=0.86)

  cites [182] sourceExperimental — accuracy not yet measured

In the paper

“Gamma band (>40 Hz) activity is an indicator of memory processing in local networks and occurs phase-locked to the spindle oscillation.183”

What the sources say

• Supported

  The Introduction describes gamma activity as a marker of local information processing linked to memory formation. The Discussion reports that high-gamma activity is phase-amplitude coupled to sleep spindles. This locking occurs within individual spindles, though its phase varies across spindles. (LLM, conf=0.90)

  cites [183] source

In the paper

“Likewise, similarity analyses on human intracranial EEG gamma band activity revealed robust evidence for wake and sleep memory reactivations of previously learned pictures of houses and landscapes, 112 but only reactivations triggered by hippocampal ripples in non-REM sleep were predictive of memory performance.”

What the sources say

• Partly supported

  Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  cites [112] 112. Helfrich, R.F., Lendner, J.D., Mander, B.A., Guillen, H., Paff, M., Mnatsa- kanyan, L., Vadera, S., Walker, M.P., Lin, J.J., and Knight, R.T. (2019). Bidirectional prefrontal-hippocampal dynamics organize information transfer during sleep in humans. Nat. Commun. 10, 3572. https://doi. org/10.1038/s41467-019-11444-x. 187. sourceExperimental — accuracy not yet measured

In the paper

“Spindles co-occur with SOs, with the depolarizing SO upstate driving the thalamic generation of spindles.4,114,176”

What the sources say

• ?Not checked — no full text of the sourcecites [4] 4. Klinzing, J.G., Niethard, N., and Born, J. (2019). Mechanisms of systems memory consolidation during sleep. Nat. Neurosci. 22, 1598-1610. https://doi.org/10.1038/s41593-019-0467-3. source
• ?Could not verify

  The passage labeled Abstract (no page supplied) links cortical ripples to slow-oscillation down-to-up transitions and separately links ripples to spindles. It does not say that spindles co-occur with slow oscillations or that an SO upstate drives thalamic spindle generation. Searches for those relationships found no supporting passage in our copy. (LLM, conf=0.70)

  cites [114] 114. Khodagholy, D., Gelinas, J.N., and Buzsa ´ki, G. (2017). Learning- enhanced coupling between ripple oscillations in association cortices and hippocampus. Science 358, 369-372. 192. sourceExperimental — accuracy not yet measured
• Partly supported

  The introduction states that thalamic neurons generate spindles, and the paper describes depolarizing components of the slow cortical oscillation. But the section “Slow oscillations made by repetitive IPSPs” reports a slow oscillation for which spindles were not apparent; it does not show that the depolarizing upstate drives thalamic spindle generation. Page numbers were not available in our copy. (LLM, conf=0.86)

  cites [176] sourceExperimental — accuracy not yet measured

In the paper

“Work by Kim and colleagues 178 points to opposing roles with only the SOs enhancing consolidation.”

What the sources say

• Supported

  The Discussion (page unavailable in our copy) describes competing roles: SO-triggered processes promote memory consolidation, whereas delta-wave-triggered processes promote memory weakening. This supports the citing sentence’s paraphrase that only SOs enhance consolidation. (LLM, conf=0.94)

  cites [178] source

In the paper

“While replay in both states may support stabilization of memories, sleep replay may be more effective in systems consolidation processes, i.e., when it comes to a reorganization of representations across hippocampal-neocortical networks.158”

What the sources say

• ?Could not verify

  The Abstract describes replay as a possible means of transmitting information from the hippocampus to the neocortex. The Discussion reports similar phase coding across waking and rest, but does not assess memory stabilization or whether sleep replay is more effective than wake replay for systems consolidation. Searches for those comparisons found no supporting passage in our copy (no page numbers provided). (LLM, conf=0.77)

  cites [158] sourceExperimental — accuracy not yet measured

In the paper

“In vivo calcium imaging in naturally sleeping mice revealed that spindles, which nest into a SO upstate are characterized by a unique constellation of activity in cortical microcircuits, where inhibition (by somatostatin positive cells) is released from the dendrites of pyramidal cells that themselves display strongly increased calcium activity, whereas an effective somatic inhibition of the pyram”

What the sources say

• ?Not checked — no full text of the sourcecites [161] source
• Partly supported

  Split into 2 atoms — 0 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.

  cites [173] sourceExperimental — accuracy not yet measured
• Supported

  Split into 2 atoms — 2 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  cites [187] source

In the paper

“This view has been comprehensively elaborated in the ''synaptic homeostasis hypothesis'' (SHY) by Tononi and Cirelli [223][224][225] (Figure 2B).”

What the sources say

• Supported

  The ‘Synaptic homeostasis and sleep function’ section says SHY proposes that synaptic strength is renormalized primarily during sleep. The ‘Conclusions and caveats’ section likewise describes sleep’s proposed function as renormalizing synaptic strength. The claim’s ‘downregulation of synaptic connectivity’ is a broad paraphrase of that view; the passages do not provide page numbers. (LLM, conf=0.91)

  cites [223] source
• ?Not checked — no full text of the sourcecites [224] source
• Supported

  In “An essential function of sleep: synaptic renormalization,” the authors identify maintaining the balance of synaptic strength as a key function of sleep and explicitly name this the synaptic homeostasis hypothesis. “The evidence for the synaptic homeostasis hypothesis” describes its central prediction as net synaptic depression during sleep. The paper frames this as down-selection of synaptic strength, not necessarily a reduction in the number of connections. (LLM, conf=0.91)

  cites [225] source

In the paper

“Hippocampal ripples often precede SO downstates by 200-130 ms, 199 and electrical stimulation of cortical networks time-locked upon the occurrence of hippocampal ripples induced SO in prefrontal cortex with spindles nesting in their upstates.200”

What the sources say

• Partly supported

  Citation 200 attaches to the electrical-stimulation clause, not the preceding timing claim. The Figure 8 discussion reports that hippocampal ripples were followed by more SO downstates, especially in prefrontal cortex, but the paper describes recordings under natural conditions, not ripple-triggered electrical stimulation inducing SOs with spindles nested in their upstates. (LLM, conf=0.78)

  cites [199] sourceExperimental — accuracy not yet measured
• ?Not checked — no full text of the sourcecites [200] source

In the paper

“Interestingly, once motor performance stabilized, the rats consistently exhibited a sharp increase in SO coupling between prefrontal and primary motor cortical areas which was accompanied by a drop in the coupling of hippocampal ripples to SOs in primary motor cortex.”

What the sources say

• Supported

  The PFC–M1 SO coupling section says the sharp increase occurred as the rats’ success rate stabilized. The Stepwise drop in M1 SO–SWR coupling section reports that this increase was followed by a sharp drop in hippocampal ripple coupling to M1 slow oscillations; the paper identifies a significant lag between the changes. (LLM, conf=0.91)

  cites [201] source

In the paper

“Indeed, intracranial recordings in human patients and rodents confirmed a triple coupling of oscillations with hippocampal ripples nesting in the troughs of the spindle oscillation, and spindles nesting in the upstates of SOs.58,196,197”

What the sources say

• ?Not checked — no full text of the sourcecites [58] 58. Latchoumane, C.V., Ngo, H.V., Born, J., and Shin, H.S. (2017). Thalamic spindles promote memory formation during sleep through triple phase- locking of cortical, thalamic, and hippocampal rhythms. Neuron 95, 424-435.e6. https://doi.org/10.1016/j.neuron.2017.06.025. source
• ?Not checked — no full text of the sourcecites [196] source
• Partly supported

  The Results (Event contingencies) and Discussion report hierarchical SO–spindle–ripple coupling in the human hippocampus: spindles are modulated by SOs, and ripples nest in spindle troughs. The study used intracranial recordings from human epilepsy patients, not rodents; its Discussion says prior rodent studies did not establish this three-way hippocampal coupling. (LLM, conf=0.88)

  cites [197] sourceExperimental — accuracy not yet measured

In the paper

“Interestingly, the occurrence of spindles during non-REM sleep fluctuates with an infra slow rhythm of 0.02 Hz 203 and recent research indicates that this rhythm possibly reflects a modulation via LC-NA activity.204,205”

What the sources say

• Supported

  Citation 203 is attached to the first clause, about spindle occurrence fluctuating at approximately 0.02 Hz during non-REM sleep. The Discussion section states that spindle recurrence produces the 0.02-Hz oscillation; the LC-NA clause is attributed to citations 204 and 205, not this source. Page numbers were not provided. (LLM, conf=0.94)

  cites [203] source
• Supported

  The citation to this paper is attached to the proposed LC-NA modulation, not the 0.02 Hz figure, which has a separate citation. The Results report that spindle occurrences vary inversely with norepinephrine during NREM sleep, and the Discussion states that infraslow norepinephrine oscillations drive periodic fluctuations in spindle activity. (LLM, conf=0.93)

  cites [204] source
• Supported

  The paper reports that sleep spindles clustered with a 0.02-Hz fluctuation during NREMS (p. 4). It also reports that manipulating LC activity altered spindle clustering (p. 6) and identifies NA released from LC terminals as a likely mechanism (p. 13), supporting the claim’s qualified wording. (LLM, conf=0.94)

  cites [205] source

In the paper

“Phasic REMs go along with a selective suppression of informative external inputs 218 and with a coordinate activation of thalamic head direction cells matching the direction of the phasic REMs.219”

What the sources say

• Supported

  This citation is attached to the first clause, not the separate claim about thalamic head direction cells cited as 219. The paper reports selective suppression of informative speech at the timing of eye movements (p. 2), and Figure 4 (p. 6) contrasts processing during phasic and tonic REM sleep. (LLM, conf=0.93)

  cites [218] source
• Supported

  Citation 219 is attached to the second clause, concerning thalamic head-direction cells, not the suppression of external inputs cited to 218. The paper reports that, in mice during REM sleep, the direction of leading rapid eye movements matched simultaneous shifts in head-direction-cell ensemble activity (passages 2, 4, and 6). (LLM, conf=0.91)

  cites [219] source

In the paper

“Spine-surface expression of GluA1 as well as average spine size, but not spine density, increased after training, and this increase was globally reduced during subsequent sleep, but not when the animals remained awake in the post-training interval.”

What the sources say

• Partly supported

  The Results report that mean spine-surface GluA1 decreased after post-training sleep but not after sleep deprivation; the Discussion says GluA1 increased after learning while spine density did not change. The Discussion also says GluA1 changes correlated with changes in spine size, but our copy does not establish that average spine size followed the same increase-and-sleep-only-decrease pattern. (LLM, conf=0.83)

  cites [165] sourceExperimental — accuracy not yet measured

In the paper

“REM sleep active hypothalamic MCH neurons produced forgetting of hippocampal memory possibly by increasing inhibition of hippocampal pyramidal cell firing, 222 whereas another study identified a subgroup of REM sleep active MCH neurons specifically projecting to the hippocampal CA2 region, which enhanced consolidation of social memories.72”

What the sources say

• Supported

  Split into 2 atoms — 2 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  cites [222] source
• ?Not checked — no full text of the sourcecites [72] 72. Qin, H., Fu, L., Jian, T., Jin, W., Liang, M., Li, J., Chen, Q., Yang, X., Du, H., Liao, X., et al. (2022). REM sleep-active hypothalamic neurons may contribute to hippocampal social-memory consolidation. Neuron 110, 4000-4014.e6. https://doi.org/10.1016/j.neuron.2022.09.004. source

In the paper

“Memory performance was impaired after blocking hippocampal ripples 84,132 and enhanced when spontaneously occurring ripples were prolonged by closed-loop optogenetic stimulation.193”

What the sources say

• ?Not checked — no full text of the sourcecites [84] 84. Girardeau, G., Benchenane, K., Wiener, S.I., Buzsa ´ki, G., and Zugaro, M.B. (2009). Selective suppression of hippocampal ripples impairs spatial mem- ory. Nat. Neurosci. 12, 1222-1223. https://doi.org/10.1038/nn.2384. source
• ?Not checked — no full text of the sourcecites [132] 132. Contreras, M.P., Fechner, J., Born, J., and Inostroza, M. (2023). Acceler- ating maturation of spatial memory systems by experience -evidence from sleep oscillation signatures of memory processing. J. Neurosci. JN-RM-1967-22. https://doi.org/10.1523/JNEUROSCI.1967-22.2023. 279. Kelemen, E., Bahrendt, M., Born, J., and Inostroza, M. (2014). Hippocam- pal corticosterone impairs memory consolidation during sleep but im- proves consolidation in the wake state. Hippocampus 24, 510-515. https://doi.org/10.1002/hipo.22266. 280. Wilhelm, I., Wagner, U., and Born, J. (2011b). Opposite effects of c source
• Supported

  Citation 193 is attached to the enhancement claim, not the preceding claim about blocking ripples. The paper describes closed-loop optogenetic prolongation of spontaneous ripples and reports improved memory performance during maze learning (Abstract; passages 2 and 6). (LLM, conf=0.94)

  cites [193] source

In the paper

“Indeed, there is evidence that one major function of sleep during brain development is to promote experience-driven neural plasticity (e.g., Wilhelm et al. 243 and Blumberg et al. 244 ), and it is likely that, conversely, such experience-driven memory formation contributes to gradually shaping the brain state of sleep during development.245,246”

What the sources say

• Partly supported

  Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  cites [243] sourceExperimental — accuracy not yet measured
• Supported

  Split into 2 atoms — 2 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  cites [244] source
• Partly supported

  Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  cites [245] sourceExperimental — accuracy not yet measured

In the paper

“Offline place cell activity associated with SPW-Rs observed in rat pups before weaning (at postnatal day [PD] 21) reflected predominantly stationary locations in recently visited environments, whereas coordinate sequential replay of place cell ensemble firing patterns that encoded extended trajectories through space during exploration, emerged only gradually after weaning.255”

What the sources say

• Supported

  Split into 2 atoms — 2 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  cites [255] source

In the paper

“For example, SO activity during the first 1.5 years of life dominates over occipital cortical regions, whereas in adults it dominates over frontal cortical regions.254”

What the sources say

• Partly supported

  The Conclusions (page unavailable) say that sleep slow waves originate mostly in frontal cortex in adults, supporting the adult comparison. For young children, however, they identify centro-parietal—not occipital—origins, and do not establish the claim for the first 1.5 years of life. (LLM, conf=0.88)

  cites [254] sourceExperimental — accuracy not yet measured

In the paper

“which presumably reflects parallel changes in cortical synaptic connectivity and white matter microstructure.253”

What the sources say

• Partly supported

  The Introduction (p. 3) says slow-wave activity peaks in childhood and declines through adolescence, and links slow waves to synaptic connectivity. It also links slow-wave propagation parameters to white matter microstructure, but does not say that the inverted U-shaped trajectory of slow-wave activity reflects parallel changes in white matter microstructure. (LLM, conf=0.83)

  cites [253] sourceExperimental — accuracy not yet measured

In the paper

“Wide field imaging experiments using CaMKII as a marker for excitatory pyramidal cells confirmed this pattern across the dorsal cortex 167 although specific subgroups of excitatory cells (e.g., Thy-1 positive cells), contrary to the global decrease, have been found to increase activity during REM sleep particularly in retrosplenial and visual cortex.236,237”

What the sources say

• ?Not checked — no full text of the sourcecites [167] source
• ?Not checked — no full text of the sourcecites [236] source
• Supported

  The Results section on mesoscale Ca²⁺ imaging identifies the recorded cells as Thy1-labeled pyramidal neurons and reports that the visual and retrosplenial cortices were more active during REM sleep, in contrast to motor cortex. This supports the portion of the citing sentence attached to this source; the separate CaMKII claim is attached to citation 167. (LLM, conf=0.93)

  cites [237] source

In the paper

“Interestingly, beyond evidencing the co-occurrence of differential synaptic scaling during sleep at global and local levels, the findings overall point to a compartmentalized response in this regulation.”

What the sources say

• Partly supported

  Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  cites [163] sourceExperimental — accuracy not yet measured
• Partly supported

  Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  cites [165] sourceExperimental — accuracy not yet measured
• Partly supported

  Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  cites [228] sourceExperimental — accuracy not yet measured

In the paper

“A sleep-induced shift toward preferential strengthening of more distal synapses in layer 1 could thus explain the formation of more generalized memories and their integration into pre-existing schemas during sleep.242”

What the sources say

• Partly supported

  The News & Views discussion (page unavailable) describes selective spine strengthening during REM sleep and sleep-related performance gains. It does not describe preferential strengthening of distal synapses in layer 1 or connect that mechanism to generalized memories and their integration into pre-existing schemas. (LLM, conf=0.83)

  cites [242] sourceExperimental — accuracy not yet measured

In the paper

“Sleep spindles go along with reduced inhibition of the dendrites of cortical pyramidal cells thus enabling increased dendritic calcium influx while at the same time the soma of these cells is subjected to an increased inhibition by parvalbumin-positive interneurons.161,240”

What the sources say

• ?Not checked — no full text of the sourcecites [161] source
• Partly supported

  The Discussion reports increased, synchronised dendritic calcium activity during spindle-rich sleep and proposes perisomatic inhibition as an explanation for the difference between dendritic and somatic activity. It explicitly says the study did not investigate inhibition, however; our copy does not establish reduced dendritic inhibition or identify parvalbumin-positive interneurons as the source of somatic inhibition. Page numbers were not supplied. (LLM, conf=0.88)

  cites [240] sourceExperimental — accuracy not yet measured

In the paper

“The rather delayed occurrence of both sequence replay during sleep in the presence of SPW-Rs, as well as the prior encoding of these sequences during ongoing wake theta activity, parallels the protracted trajectory for the formation of hippocampus-dependent episodic memory, and could partly reflect the late postnatal maturation in excitatory synaptic plasticity in hippocampal networks.255”

What the sources say

• Partly supported

  Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  cites [255] sourceExperimental — accuracy not yet measured

In the paper

“In the rodent hippocampus, at the end of the first postnatal week, ''sharp wave bursts,'' as a first organized network event can be detected, while SPW-Rs in conjunction with neuronal reactivations only emerge at the end of the second postnatal week.255,256”

What the sources say

• Partly supported

  The Results and Discussion (page not specified) report sharp-wave ripples accompanied by reactivation in rats from P17, the earliest age tested. The paper does not establish when those events first emerge or document sharp-wave bursts at the end of the first postnatal week, so it does not support the claimed developmental timeline. (LLM, conf=0.87)

  cites [255] sourceExperimental — accuracy not yet measured
• Partly supported

  The paper’s account of awake rest and sleep reports location-depicting neuronal activity at P15–P16, and says spatial experience–depicting frames co-occurred with ripple oscillations (Fig. 3–4 passages; page unavailable). Its recordings began at P15, however, so it does not establish when sharp-wave bursts first appear in postnatal week one or that SPW-Rs with neuronal reactivation first emerge at the end of week two. (LLM, conf=0.76)

  cites [256] sourceExperimental — accuracy not yet measured

In the paper

“Consistent with a global increase in inhibition, overall pyramidal cell activity decreased across both REM sleep and SWS epochs, accompanied by a global increase in parvalbumin-positive interneurons during SWS epochs.”

What the sources say

• Supported

  The Introduction reports that pyramidal-cell calcium activity decreased over both SWS and REM episodes, while parvalbumin-positive interneuron calcium activity increased during SWS. The Discussion likewise describes an average pyramidal-cell decrease and increased parvalbumin-positive interneuron activity during SWS. The passages provide section labels but no page numbers. (LLM, conf=0.93)

  cites [166] source

In the paper

“Preliminary findings suggest that ripple activity as well as ripples co-occurring with spindles decrease during early development.275”

What the sources say

• Supported

  The Discussion (page unavailable) states that sharp-wave ripple density and spindle–ripple coupling diminish with age. The Results sections (page unavailable) separately report a negative correlation between ripple density and age and a decrease in spindle–ripple coupled events with age. The claim’s preliminary wording is consistent with the paper’s cautious interpretation. (LLM, conf=0.94)

  cites [275] source

In the paper

“Trajectories of spindle density peaking during adolescence and spindle amplitude peaking during infancy likely reflect the maturation of thalamocortical brain regions.252,276”

What the sources say

• Partly supported

  The Results section, “Life-course trajectories of spindle traits” (page unavailable), reports that spindle density peaks around adolescence and says age-related spindle changes are believed to reflect thalamocortical maturation. It does not support an amplitude peak during infancy; it reports amplitude as broadly stable across childhood and adolescence, then declining in adulthood. (LLM, conf=0.90)

  cites [252] sourceExperimental — accuracy not yet measured
• Partly supported

  Section 5.1 links developmental changes in spindles to maturation of frontal gray and white matter and describes changes in spindle occurrence and amplitude. Section 10 likewise says spindle properties change from infancy through adolescence. Neither passage establishes that density peaks during adolescence or amplitude peaks during infancy. (LLM, conf=0.87)

  cites [276] sourceExperimental — accuracy not yet measured

In the paper

“However, such rule memory was also found to be enhanced after a wake control period, although linked to a different pattern of ERP responses suggesting that rule memories formed during sleep and wake at this age differ in quality.”

What the sources say

• Partly supported

  The Results (no page supplied) report rule-memory ERP effects after both the wake and nap periods, with different mid-latency responses. The Discussion interprets these as differences in the nature of the memories. However, it describes the wake group as retaining representations formed during encoding, not as having enhanced memory after wakefulness. (LLM, conf=0.84)

  cites [271] sourceExperimental — accuracy not yet measured

In the paper

“Instead, memory processing and consolidation in the developing brain might be organized in a more parallel manner at the hippocampal and neocortical level which, in conjunction with a generally increased plasticity especially during REM sleep 231,249 might produce stronger transformations at the neocortical level.”

What the sources say

• Partly supported

  Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  cites [231] sourceExperimental — accuracy not yet measured
• Partly supported

  Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  cites [249] sourceExperimental — accuracy not yet measured

In the paper

“Using fMRI during sleep in 2-year-old toddlers, Ghetti and coworkers 272 observed signs of reactivations in the hippocampus to previously learned songs which were associated with an improved memory for the context in which the song had been encoded.272,273”

What the sources say

• Partly supported

  The Study overview describes sleep fMRI in 2-year-olds using previously learned songs, and the Discussion reports an association between song-related hippocampal activation and temporal-order memory. It explicitly says spatial memory was not significantly correlated with that activation. The Introduction reports a prior study linking hippocampal activation to memory for the room where a song was heard, but that contextual finding was not this paper’s result (page numbers unavailable). (LLM, conf=0.88)

  cites [272] sourceExperimental — accuracy not yet measured
• Partly supported

  The Introduction (page unavailable) reports that an earlier fMRI study found hippocampal activation during sleep for learned songs in 28-month-olds, associated with memory for events linked to those songs. But this paper’s own study, described in the Discussion (page unavailable), tested newly learned words and memory for puppet names—not songs or their encoding context. The citing sentence incorrectly presents the reported earlier finding as this paper’s observation. (LLM, conf=0.90)

  cites [273] sourceExperimental — accuracy not yet measured

In the paper

“Interestingly, the ERP pattern at test indicated that after sleep-dependent consolidation, the newly stored word-object events are not processed semantically, although appropriate semantic memories were present and accessible by similar events that were not experienced right before the nap.”

What the sources say

• Supported

  The Discussion reports that, after the nap, the N400 semantic context effect was missing when infants re-experienced old object–word pairings. It also says that the N400 effect for words paired with new objects showed that appropriate lexical-semantic memories remained present and accessible. Page numbers are not supplied in our copy. (LLM, conf=0.94)

  cites [270] source

In the paper

“In humans, the coupling strength of spindles to the SO upstate (i.e., how precisely an individual's spindles across events nest into a specific phase of the SO upstate), increased across childhood and adolescence, along with an increased capability to retain memory for word pairs across sleep, 60”

What the sources say

• Supported

  The Results (‘Brain maturation impacts SO-spindle coupling’) report that coupling strength increased from childhood to adolescence. The Results (‘SO-spindle coupling development predicts memory formation’) link greater coupling-strength increases to enhanced sleep-dependent memory consolidation, and the Discussion identifies the task as word-pair recall. The paper does not find that coupling predicts a sleep-versus-wake-specific benefit, but the citing sentence does not make that narrower claim. (LLM, conf=0.90)

  cites [60] 60. Hahn, M.A., Heib, D., Schabus, M., Hoedlmoser, K., and Helfrich, R.F. (2020). Slow oscillation-spindle coupling predicts enhanced memory for- mation from childhood to adolescence. eLife 9, e53730. https://doi.org/ 10.7554/eLife.53730. source

In the paper

“By contrast, consolidation during wakefulness for such tasks is not impaired but can be even enhanced when hippocampal activity is disrupted during the post-encoding wake interval.6”

What the sources say

• Supported

  The Discussion states that postencoding wake consolidation was enhanced, rather than left unaffected, by hippocampal inactivation. The Results likewise report that hippocampal activity affected novel-object recognition consolidation in opposite directions during sleep and wakefulness. The experiment concerned rats and a 2-hour postencoding interval. (LLM, conf=0.94)

  cites [6] 6. Sawangjit, A., Harkotte, M., Oyanedel, C.N., Niethard, N., Born, J., and Inostroza, M. (2022). Two distinct ways to form long-term object recog- nition memory during sleep and wakefulness. Proc. Natl. Acad. Sci. USA 119. e2203165119. https://doi.org/10.1073/pnas.2203165119. source

In the paper

“Noteworthy, mediated via hippocampal receptors, glucocorticoids have also been found to exert opposing effects on consolidation depending on the brain state in humans and rats, increasing consolidation in wakefulness but impairing sleep consolidation.279,280”

What the sources say

• Partly supported

  The paper’s Abstract reports that intrahippocampal corticosterone impaired consolidation during sleep but improved it during wakefulness in rats. Its discussion also reports the same pattern in a human study. However, it describes mediation through hippocampal glucocorticoid receptors as likely, rather than established, so the citing sentence states that mechanism more firmly than this source does. (LLM, conf=0.82)

  cites [279] sourceExperimental — accuracy not yet measured
• ?Not checked — no full text of the sourcecites [280] source

In the paper

“In humans, enhancing effects of post-encoding stress on memory consolidation were only found when the stressor was administered in the same context as during encoding, and in rats detrimental effects of post-encoding stressors on memory prevailed, 282 arguing against the view that stress as an internal state and independent of its external origin modulates wake consolidation.”

What the sources say

• Partly supported

  Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  cites [282] sourceExperimental — accuracy not yet measured

In the paper

“By contrast, inhibiting the hippocampus during post-encoding wakefulness significantly improved object recognition memory at test, suggesting that hippocampal activity in the wake state interferes with ongoing consolidation.”

What the sources say

• Supported

  The Results report that inactivating the hippocampus during postencoding wakefulness improved rats’ novel-object recognition performance at testing one week later compared with controls (P = 0.001). The Results and Discussion interpret this as evidence that ongoing hippocampal activity interferes with consolidation during wakefulness. (LLM, conf=0.94)

  cites [6] 6. Sawangjit, A., Harkotte, M., Oyanedel, C.N., Niethard, N., Born, J., and Inostroza, M. (2022). Two distinct ways to form long-term object recog- nition memory during sleep and wakefulness. Proc. Natl. Acad. Sci. USA 119. e2203165119. https://doi.org/10.1073/pnas.2203165119. source

In the paper

“With intervening nocturnal sleep, the activity increase in neocortical areas remained stable for 24 h, was strongly related to memory retention, and was paralleled by microstructural changes indicating neocortical memory storage.”

What the sources say

• Partly supported

  The Introduction (page unavailable) describes sleep-related memory reactivation and suggests that memories become stabilized in neocortical networks. The Results section reports improved retention after cues presented during a nap, but our copy does not report a neocortical activity increase stable for 24 hours, its correlation with retention, or parallel microstructural changes. (LLM, conf=0.77)

  cites [290] sourceExperimental — accuracy not yet measured
• ?Not checked — no full text of the sourcecites [291] source
• Partly supported

  The Abstract reports that posterior parietal activity remained elevated after 24 hours and that stronger activity related to higher memory-based performance. The Results confirm persistence across two consecutive experimental days. The paper does not report microstructural changes, and the Materials and Methods establish an overnight interval but do not establish what role sleep played. (LLM, conf=0.89)

  cites [292] sourceExperimental — accuracy not yet measured
• Partly supported

  The Results (‘Stability of the parietal long-term memory representation’; page unavailable) report elevated parietal activity 12 hours after learning and a correlation between precuneus activity and memory performance in the sleep group. They do not establish stability for 24 hours or report microstructural changes indicating neocortical storage. The same section found no significant sleep–wake difference in the parietal activity increase. (LLM, conf=0.90)

  cites [293] sourceExperimental — accuracy not yet measured

In the paper

“In fact, suppressing hippocampal activity in rats during a post-encoding period of wakefulness improved rather than impaired memory consolidation, 6 indicating that spontaneous hippocampal offline inputs during the wake state interfere with, rather than support the formation of stable cortical representations.”

What the sources say

• Partly supported

  Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  cites [6] 6. Sawangjit, A., Harkotte, M., Oyanedel, C.N., Niethard, N., Born, J., and Inostroza, M. (2022). Two distinct ways to form long-term object recog- nition memory during sleep and wakefulness. Proc. Natl. Acad. Sci. USA 119. e2203165119. https://doi.org/10.1073/pnas.2203165119. sourceExperimental — accuracy not yet measured

In the paper

“Thus, representations with some stability can be formed during wakefulness in the neocortex within one session, suggesting a rapid type of systems consolidation.”

What the sources say

• ?Could not verify

  The Introduction (page unavailable) discusses stabilization in neocortical networks over time in the context of sleep-related memory consolidation. The Methods describe learning before a nap, but do not establish stable neocortical representations formed during wakefulness within one session. Searches for rapid systems consolidation and wake-formed neocortical representations found no passage addressing that claim. (LLM, conf=0.76)

  cites [290] sourceExperimental — accuracy not yet measured
• ?Not checked — no full text of the sourcecites [291] source
• Supported

  The Abstract (page not provided) reports that posterior parietal cortex activity encoded spatial memories from the first visit and remained elevated after 24 hours, indicating a stable change. The Discussion (page not provided) interprets repeated encounters during learning as producing a similar extent of systems consolidation to offline reactivation. Together, these support the claim’s qualified account of rapid, somewhat stable neocortical representation formation during wakeful learning. (LLM, conf=0.90)

  cites [292] source
• Supported

  The Results (“Fast memory systems transition over repeated rehearsal”; page unavailable) report increasing parietal activity during a single learning session. The Results (“Stability of the parietal long-term memory representation”; page unavailable) find a memory-specific parietal response 12 hours later, including in participants who stayed awake. The Discussion interprets the rapid shift toward parietal activity as consistent with systems consolidation occurring faster than previously assumed. (LLM, conf=0.90)

  cites [293] source

In the paper

“Sleep was required for forming a long-term food-odor conditioning memory only in the fed animals, and these animals indeed also displayed increased sleep after conditioning.”

What the sources say

• Supported

  The Abstract (page not specified) reports that sleep deprivation after training impaired long-term appetitive memory in fed flies but not in flies kept starved after training. It also reports that conditioned flies kept on sucrose slept significantly more than untrained controls, whereas starved flies did not. (LLM, conf=0.94)

  cites [7] 7. Chouhan, N.S., Griffith, L.C., Haynes, P., and Sehgal, A. (2021). Availabil- ity of food determines the need for sleep in memory consolidation. Nature 589, 582-585. https://doi.org/10.1038/s41586-020-2997-y. source

In the paper

“Both hunger-dependent and sleep-dependent long-term memories involved distinct neuronal circuits in the mushroom bodies, i.e., the anterior-posterior a 0 /b 0 neurons in fed conditions, and the medial a 0 /b 0 neurons in starved conditions.”

What the sources say

• Supported

  The paper’s abstract states that fed flies require sleep for memory consolidation, while starved flies do not, and identifies anterior-posterior α’/β’ mushroom-body neurons for memory in fed flies and medial α’/β’ neurons for memory under starvation. The passage describing the neuronal-subtype experiments further reports that each subtype was required for long-term memory only in its respective condition. (LLM, conf=0.94)

  cites [7] 7. Chouhan, N.S., Griffith, L.C., Haynes, P., and Sehgal, A. (2021). Availabil- ity of food determines the need for sleep in memory consolidation. Nature 589, 582-585. https://doi.org/10.1038/s41586-020-2997-y. source

In the paper

“In hippocampal slice preparations, low glucocorticoid concentrations increased rates of SPW-Rs typically accompanying memory replay whereas high glucocorticoid concentration suppressed SPW-Rs, 281”

What the sources say

• Partly supported

  The Results report that low-dose corticosterone increased sharp-wave occurrence in mouse hippocampal slices, while high-dose corticosterone reduced it. The claim generalizes this pattern to glucocorticoids, but the same Results section says high-dose cortisol had no effect on sharp-wave frequency. The measured change was in the occurrence of sharp waves, not the frequency of oscillations within ripples. (LLM, conf=0.85)

  cites [281] sourceExperimental — accuracy not yet measured

In the paper

“Disturbing such wake replay activity has also been found to impair memory formation, 284,285 indicating that neuronal reactivations of newly formed representations represent a common core process for consolidation during sleep and wakefulness.”

What the sources say

• Partly supported

  The Introduction reports that disrupting awake sharp-wave ripples can impair behavioral performance and that interfering with them during sleep can worsen memory performance. This study found that silencing neurons during awake ripples destabilized place-cell spatial representations, but its Results report no difference in measured memory performance between ripple-locked and delayed stimulation. It therefore supports a role for awake ripple activity in maintaining newly learned representations, not the stronger conclusion that this experiment demonstrated impaired memory formation or established one common consolidation process across sleep and wakefulness. (LLM, conf=0.86)

  cites [284] sourceExperimental — accuracy not yet measured
• Supported

  The Abstract reports that interrupting awake sharp-wave ripples in rats learning a spatial alternation task caused a persistent, specific learning and performance deficit. The citation follows the claim that disturbing wake replay impairs memory formation; the subsequent proposal of a common process during sleep and wakefulness is the citing authors’ inference. (LLM, conf=0.88)

  cites [285] source

In the paper

“Optogenetically induced spindles synchronized hippocampal ripples to the spindle troughs independently of whether spindles were induced during a SO upstate or downstate 58 indicating a direct effect of thalamic spindles on the timing of hippocampal ripples and associated memory replay.”

What the sources say

• ?Not checked — no full text of the sourcecites [58] 58. Latchoumane, C.V., Ngo, H.V., Born, J., and Shin, H.S. (2017). Thalamic spindles promote memory formation during sleep through triple phase- locking of cortical, thalamic, and hippocampal rhythms. Neuron 95, 424-435.e6. https://doi.org/10.1016/j.neuron.2017.06.025. source

In the paper

“In humans, this triple coupling is most consistent at central and parietal electrodes but appears to spare SO-spindle complexes identified over frontal cortical regions.”

In the paper

“Indeed, ripple-triggered stimulation in this study not only enhanced the rate of joint occurrence of SOs, spindles and ripples but also the consolidation of object-location memories encoded prior to sleep.”

What the sources say

• ?Not checked — no full text of the sourcecites [200] source

In the paper

“Human infants, during the first 3 months of life do not exhibit clearly separable periods of SWS and REM sleep, with the precursor states termed quiet and active sleep, respectively.”

What the sources say

• ?Not checked — no full text of the sourcecites [247] source

In the paper

“Indeed, inhibition globally increased within 4 h of sleep while synaptic excitation decreased.167”

What the sources say

• ?Not checked — no full text of the sourcecites [167] source

In the paper

“A similar somato-dendritic decoupling of pyramidal cell regulation was revealed during REM sleep, where the optogenetic inhibition of dendritic activity (by stimulating vasoactive intestinal peptide positive interneurons) impaired formation of associative memory, whereas inhibition of the soma (by stimulating parvalbumin-positive interneurons) improved memory.235”

What the sources say

• ?Not checked — no full text of the sourcecites [235] source

In the paper

“Disrupting hippocampal activity during post-encoding sleep in rats impairs long-term memory not only on hippocampus-dependent spatial tasks but also on tasks like novel object recognition which can be encoded and retrieved in the absence of hippocampal function.66”

What the sources say

• ?Not checked — no full text of the sourcecites [66] 66. Sawangjit, A., Oyanedel, C.N., Niethard, N., Salazar, C., Born, J., and In- ostroza, M. (2018). The hippocampus is crucial for forming non-hippo- campal long-term memory during sleep. Nature 564, 109-113. https:// doi.org/10.1038/s41586-018-0716-8. source

In the paper

“In parallel, the pups displayed an increased percentage of hippocampal ripples coupled to parietal SO-spindle complexes, and a stronger ripple-spindle phase-locking during the post-encoding period of retention sleep.”

What the sources say

• ?Not checked — no full text of the sourcecites [278] source

In the paper

“Magnetoencephalographic recordings indicated an involvement of hippocampal and parahippocampal regions at learning, whereas the sleep-dependent consolidation of the object-function associations in the children was associated with marked changes in prefrontal cortex activity at recall testing.265”

What the sources say

• ?Not checked — no full text of the sourcecites [265] source

In the paper

“emotional stimuli are already more strongly encoded than neutral stimuli, with encoding strength well known to confound consolidating effects of sleep”

What the sources say

• ?Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  cites Denis et al. 28

In the paper

“Neuronal replay typically occurs in a temporally compressed fashion and can recapitulate the original event sequence in forward or reverse order.”

What the sources say

• ?Not checked — no full text of the sourcecites [80] 80. Diba, K., and Buzsa ´ki, G. (2007). Forward and reverse hippocampal place-cell sequences during ripples. Nat. Neurosci. 10, 1241-1242. https://doi.org/10.1038/nn1961. source
• ?Not checked — no full text of the sourcecites [81] 81. Foster, D.J., and Wilson, M.A. (2006). Reverse replay of behavioural se- quences in hippocampal place cells during the awake state. Nature 440, 680-683. https://doi.org/10.1038/nature04587. source

In the paper

“such research overall confirmed an enhancing effect of post-encoding sleep and sleep-like states on memory for all species examined in this regard, including not only rodents and drosophilae, but also honey bees, snails, and may even hold for worms like C. elegans.”

What the sources say

• ?Not checked — no full text of the sourcecites [62] 62. Vorster, A.P., and Born, J. (2015). Sleep and memory in mammals, birds and invertebrates. Neurosci. Biobehav. Rev. 50, 103-119. https://doi. org/10.1016/j.neubiorev.2014.09.020. source

In the paper

“Evidence for category-specific reactivations was strongest when cue delivery was accompanied by increased spindle activity and, moreover, predicted the TMR-induced gain in memory.”

What the sources say

• ?Not checked — no full text of the sourcecites [117] 117. Aston-Jones, G., and Bloom, F.E. (1981). Activity of norepinephrine-con- taining locus coeruleus neurons in behaving rats anticipates fluctuations in the sleep-waking cycle. J. Neurosci. 1, 876-886. https://doi.org/10. 1523/JNEUROSCI.01-08-00876.1981. 207. Berridge, C.W. (2008). Noradrenergic modulation of arousal. Brain Res. Rev. 58, 1-17. https://doi.org/10.1016/j.brainresrev.2007.10.013. 208. Rodenkirch, C., Liu, Y., Schriver, B.J., and Wang, Q. (2019). Locus coeru- leus activation enhances thalamic feature selectivity via norepinephrine regulation of intrathalamic circuit dynamics. Na source

In the paper

“The predominance of replay in the beginning of post-encoding sleep might rather reflect the importance of this period for initializing systems consolidation processes during sleep”

In the paper

“SWS is dominated by slow EEG activity in the 0.1-4 Hz range, with this SWA comprising the SOs (<1 Hz) and delta frequencies (1-4 Hz, frequency bands refer to human EEG).”

In the paper

“During REM sleep, information flow appears to be mainly determined by theta oscillations, aside from PGO waves.”

In the paper

“Oscillations of slower frequency typically synchronize neuronal excitability at a more global level than fast frequency oscillations that regulate excitability at a more local level, with the nesting of fast frequency into slow frequency oscillations reflecting the global-to-local network interaction and fine-tuning in this regulation.”

In the paper

“Collectively, these findings support the view that sleep replay serves a special function in memory consolidation, although sleep and wake replay both display largely similar features.”

In the paper

“Thus, PGOs preceding phasic REMs might initiate memory reactivations accompanying these phasic REMs.162”

What the sources say

• ?Not checked — no full text of the sourcecites [162] source

In the paper

“PGO waves typically precede the onset of phasic REMs by 25 ms 220 (but sometimes also occur during non-REM sleep especially during the transition into REM sleep).”

What the sources say

• ?Not checked — no full text of the sourcecites [220] source

In the paper

“Thereby, spindles reaching hippocampal networks synchronize ripples and associated memory replay activity to the excitable troughs of the spindle, as a mechanism that, in turn, facilitates the direct transmission of the reactivated hippocampal memory information back to the neocortex.195,198”

What the sources say

• ?Not checked — no full text of the sourcecites [195] source
• ?Not checked — no full text of the sourcecites [198] source

In the paper

“Overall, the findings support a scenario where cortical SOs provide a globally acting top-down signal that sets the temporal frame for the parallel facilitation of thalamic spindles and, depending on task and training phase, also of hippocampal ripples during the subsequent depolarizing SO upstate.”

In the paper

“Importantly, the concept of sleep generally downscaling and re-normalizing synaptic connectivity and network excitability conflicts with the idea that sleep enhances the consolidation of specific memories which, in theory, should manifest as a relatively enhanced synaptic connectivity and excitability of the memory representing neuron ensembles.”

In the paper

“At the same time, there is a much greater need to form long-term memory and to accumulate knowledge over time.”

In the paper

“Assuming a dendritic-branch-specific representation of memory, local synaptic scaling processes during sleep may well contribute to the reorganization of these memories by changing the topographical distribution of synapses along the dendritic tree.”

In the paper

“Subsequent periods of REM sleep may primarily support the global downregulation of synaptic connectivity sparing those synapses that were strengthened during prior SWS.”

In the paper

“Assuming that the formation of longterm memory, and the putatively underlying machinery of an active systems consolidation process, represents a major function of sleep, one would expect that the early development of the brain state of sleep proceeds tightly interlinked with that of the relevant memory systems.”

In the paper

“During infancy and childhood, humans, as well as rodents, spend much more time asleep than in adulthood.”

In the paper

“A tentative scenario could be as follows: during SWS, hippocampal ripples drive the replay of ensemble firing patterns producing synaptic downscaling in hippocampal networks.”

In the paper

“At the same time, spindles coupling with hippocampal ripples time cortical reactivations thereby fostering memoryspecific synaptic plasticity in cortical networks.”

In the paper

“While sleep is well known to support long-term memory formation in adults, the memory function of sleep during early development is by far less well investigated.”

In the paper

“Whereas Miyamoto et al. 165 did not discriminate sleep stages, other studies suggest that synaptic scaling during sleep varies between SWS and REM sleep.”

In the paper

“One candidate here are ripples, which drive the replay of newly encoded representations in hippocampal circuits and its spreading to multiple extrahippocampal areas.238”

What the sources say

• ?Not checked — no full text of the sourcecites [238] source

In the paper

“The findings are consistent with the idea that experience during development drives the maturation of the episodic memory system in general, by enhancing cortico-hippocampal information exchange, in parallel with the formation of individual integrated knowledge representations during sleep.”

What the sources say

• ?Not checked — no full text of the sourcecites [278] source

In the paper

“However, there are also findings indicating an only weak or even absent benefit from sleep for episodic or spatial aspects in memory, 261 suggesting that there are additional factors modulating sleepdependent memory benefits.”

What the sources say

• ?Not checked — no full text of the sourcecites [261] source

In the paper

“Overall, these studies indicate that sleep in infants supports the consolidation of episodic memory as well as the formation of more abstracted generalized semantic-like memory and that both kinds of consolidation processes are established in parallel during sleep.”

In the paper

“In stark contrast, the underlying hippocampal and neocortical networks, particularly in the medial prefrontal cortex as a hub in this system, are rather immature, as is also the coupling of SO, spindles and ripples assumed to mediate the dialog between hippocampus and neocortex during systems consolidation.”

In the paper

“Although the body of experimental evidence indicates a benefit of sleep in comparison with a post-encoding period of wakeful-ness, there is an increasing number of studies that failed to reveal such benefit, suggesting that the consolidation of long-term memory is not a unique function of sleep but also occurs in the wake state.”

In the paper

“Accordingly, sleep spindles in early development may not only serve the consolidation of specific memories but also to advance the development of the memory system in general.”