ABSTRACT Re-exposure of newly acquired vocabulary during sleep improves later memory recall in healthy adults. The success of targeted memory reactivation (TMR) during sleep presumably

depends on the presence of slow oscillations (i.e., EEG activity at a frequency of about 0.75 Hz). As slow oscillating activity is at its maximum during adolescence, we hypothesized that TMR

is even more beneficial at this developmental stage. In the present study, adolescents aged 11 to 13 learnt Dutch vocabulary in the evening and were tested on recall performance the next

morning. Half of the words were presented via loudspeakers during post-learning periods of NREM (Non Rapid Eye Movement) sleep in order to stimulate memory reactivation. Unexpectedly, TMR

effect of TMR in adolescents in this study such as differences in learning abilities and pre-sleep performance levels are discussed. SIMILAR CONTENT BEING VIEWED BY OTHERS THE POWER OF

CHILDREN’S SLEEP - IMPROVED DECLARATIVE MEMORY CONSOLIDATION IN CHILDREN COMPARED WITH ADULTS Article Open access 19 June 2020 ENDOGENOUS MEMORY REACTIVATION DURING SLEEP IN HUMANS IS

CLOCKED BY SLOW OSCILLATION-SPINDLE COMPLEXES Article Open access 25 May 2021 COMPARING TARGETED MEMORY REACTIVATION DURING SLOW WAVE SLEEP AND SLEEP STAGE 2 Article Open access 20 April

2024 INTRODUCTION Second language learning essentially depends on the acquisition of novel word meanings and word forms. This newly acquired vocabulary needs to be stored for a longer period

of time in order to be accessible later on e.g. when engaging in conversations, during reading or in other contexts. More specifically, the acquisition of new vocabulary initially results

in the formation of a highly labile memory trace that needs to be transformed into a stable long-lasting form1. This process, which is also referred to as memory consolidation, has been

found to benefit from periods of sleep after learning2,3. Sleep-dependent consolidation of memories critically relies on the repeated reactivation of newly acquired memories during sleep2.

Such processes of memory reactivation can be boosted by presenting external memory cues of the learnt information during post-learning periods of Non-rapid-eye-movement (NREM) sleep4,5,6.

Three recent studies from our group indicated that this method, also known as « targeted memory reactivation » (TMR), can affect vocabulary learning in adults7,8,9. In these studies,

participants learnt a list of Dutch vocabulary and their German translation. Half of the Dutch words were presented again via loudspeaker during NREM sleep in the night after learning. In a

later recall test, vocabulary that had been presented during sleep as compared to vocabulary that had not been presented was better remembered. The successful reactivation of vocabulary

during sleep was found to coincide with an increase in spindle activity (i.e., EEG activity at a frequency of 10–15 Hz) and theta activity (i.e. 5–8 Hz)7. Previous studies had further

pointed towards a crucial role of slow oscillatory activity (i.e., around 0.75 Hz) in the process of memory consolidation10,11,12. Based on the background of these findings it was recently

hypothesized that slow oscillations represent an essential prerequisite for the success of targeted memory reactivation while theta activity reflects the reinstatement of the original memory

trace. Furthermore, spindle activity has been related to the integration of the new memory trace into the neocortical long-term network of preexisting information and its stabilization13.

Slow oscillating EEG activity during sleep is at its maximum during late childhood/early adolescence (i.e., around 8–12 yrs)14,15,16 which raises the possibility that sleep is even more

beneficial to the processes of memory consolidation during this developmental period17,18. However, empirical evidence especially in the context of language learning is scarce. Initially,

studies exposed children and adults to novel word forms or novel word-object pairings and tested memory performance on these stimuli after retention intervals of 24 h and/or 1 week later. In

these studies, children showed a greater improvement over time in a recognition memory test19,20,21 as well as in a cued recall test20,22 (see21 for greater improvements in cued recall

performance in adults) compared to adults. Overnight improvement in recall performance was positively correlated with fast spindle density (i.e., 13.5–15 Hz) in children22. However, none of

these studies comprised a wake control group, i.e., a group of subjects who do not sleep during the retention interval. The question, namely whether the reported differences critically rely

on processes of memory consolidation during sleep or are a consequence of an increased plasticity of the developing brain independent of sleep, therefore remains open. A wake control group

requires subjects to refrain from sleeping for the period of the retention interval, which raises ethical concerns especially in a children or adolescent sample. Another elegant way to learn

more about sleep-dependent processes of language learning during early periods of development is to manipulate the processes that underlie the consolidation of memories during sleep, i.e.,

the reactivation of the memories themselves. Thus, in the present study, we used the above-mentioned method of targeted memory reactivation to study (1) the role of memory reactivation

during nocturnal sleep on the consolidation of newly acquired vocabulary as indicated by retention performance the next morning and one week later and (2) the neuronal correlates of

reactivating newly acquired vocabulary during nocturnal sleep, in 11–13 year-old participants. METHODS SUBJECTS Nineteen healthy adolescents aged between 11 and 13 years were recruited via

advertisements placed at the children’s hospital. Subjects were monolingual or bilingual. Note that the sample size was determined as a consequence of a power analysis using GPower23. The

estimation of effect size was based on our previous studies on vocabulary learning in adults, which used a comparable within-subjects design reporting large effect sizes of d = 0.88,24.

According to this power analysis a sample size of n = 15 would be required to find similar large effects with a power of 0.8. Interviews as well as standardized questionnaires ensured that

the participants had no behavioral problems, cognitive impairments or sleep disorders. In order to exclude any psychiatric diagnosis, a clinical interview was performed using the

Mini-International Neuropsychiatric Interview (M.I.N.I.-KID)25. Only participants with an IQ between 85 and 135 as indicated by the Wechsler-Intelligence Scale for Children (WISC-IV)26 were

included in this experiment. Participants did not take any medication at the time of the experiment, and the ingestion of caffeine or alcohol was not allowed on experimental days. Only

participants who spoke German as a first language without any prior Dutch language skills were included. All participants were asked for individual sleep habits, i.e., usual time to go to

bed, time getting up, etc. This information was used to schedule both nights in the sleep laboratory in accordance with their usual sleep habits. Also, participants noted their daily

activities regarding sleep and waking times in a sleep diary for the seven days prior to the experiment. This data was additionally compared to, and supplemented with, actigraphical

monitoring. The study was approved by the local ethics committee (Ethics Committee of the Philosophical Faculty of the University of Zurich) and procedures were carried out in accordance

with the approved guidelines. Participants as well as their parents gave written informed consent before participating. One participant had to be excluded due to poor sleep quality in the

experimental night (>15% time awake). The remaining 18 participants (nine males, nine females; _M_ = 12.66, _SD_ = 1.12) were included in the analysis of the behavioral data. For the EEG

analyses (final n = 14), four additional participants had to be excluded: two due to technical problems with the EEG recordings and another two due to an insufficient amount (<7) of gains

(i.e., Dutch words not remembered before sleep but correctly recalled after sleep) or losses (i.e., words correctly retrieved before sleep but not remembered after sleep). DESIGN AND

PROCEDURE The general procedure was comparable to our previous study in young adults8 (Please see Fig. 1 for an illustration of the design and procedure). Participants were familiarized with

the procedure during an adaptation night preceding the experimental night, which allowed them to get used to polysomnographic recordings. Experimental and adaptation nights were separated

by at least one night at home to exclude possible effects of reduced sleep quality during the adaptation night on sleep in the experimental night. During the experimental night, participants

arrived at the sleep lab around 2 h before their habitual bedtime (around 7 PM). First, an electrode net was fitted over the participants’ head in order to record nocturnal sleep during the

subsequent night. Once the net was in place, the participants performed the vocabulary learning task (Learning Session) and went to bed afterwards. During NREM sleep, half of the learnt

words were presented via a loudspeaker that were placed behind the participants’ head. This procedure is assumed to stimulate the reactivation of the German translation of the respective the

Dutch words they had learned during the learning session. Testing started ~45 minutes after waking up in the morning to avoid any impact of sleep inertia on recall performance. An

additional test (Test Session 2) was performed one week later in order to test possible long-term effect of memory cueing. SLEEP EEG In both the experimental and the adaptation nights, sleep

was recorded using a high-density sleep EEG (Electrical Geodesics Sensor Net for long-term monitoring, 128 channels, referenced to a vertex electrode) which also included electromyographic

and electrooculographic recordings. Data were sampled at 500 Hz. Furthermore, based on the standard criteria provided by the American Academy of Sleep Medicine27, EEG data was manually

scored for sleep stages N1, N2, N3 as well as Wake and REM sleep at frontal, central and occipital electrodes over 30 s epochs. See Table 1 for descriptive statistics of the sleep

parameters. VOCABULARY LEARNING TASK Based on the results of a pilot study conducted on four young participants, including children and adolescents (age: _M_ = 12.69, _SD_ = 3.34), we

decided to reduce the number of Dutch-German word pairs from 120 to 92 for this age group in order to reach pre-sleep levels of performance that were comparable to those found in our

previous studies in adults, i.e., 50–60%8. The words were presented in a random order in three rounds. Dutch words were presented acoustically (duration range: 400–650 ms) via loudspeaker

(about 70 dB sound pressure level). During the first learning block each Dutch word was succeeded by a visual presentation of its German translation (2000 ms). The inter-trial interval

between consecutive word pairs was 2000–2200 ms. The participants were instructed to memorize as many translations as possible and were informed that they would be tested at a later time. In

the second round the Dutch words were presented again followed by a question mark indicating that the participants task was to vocalize the corresponding German word. Independent from the

correctness of the participants´ response, the correct German word was displayed again for 2000 ms. In the third round, as well as in the recall session the next morning, the cued recall

procedure was repeated without any feedback of the correct German translation. The answers given in the third learning round served as the pre-sleep baseline values. In five participants,

one additional round with feedback was introduced before the final round without feedback in order to increase the learning level. TARGETED MEMORY REACTIVATION DURING SLEEP During

post-learning periods of NREM sleep, Dutch words were presented auditorily via loudspeaker (with a 55 dB sound pressure level). Half of the learnt words (i.e., 46 words) were cued, whereas

the other half of the learnt words were not presented during sleep. Half of the cued words were randomly and individually chosen from the group of words that had been correctly remembered by

an individual during the learning phase (i.e., hits), whereas the other half was taken from incorrectly remembered words (i.e., misses). Words were presented every 2.800–3.200 s in a

randomized order for a total of at least 45 minutes (see Table 2 for details about word presentation). An experienced experimenter inspected the EEG in real-time to determine sleep stages

and to detect any indication of arousal. Word cueing was started when a participant spent 10 minutes in stage N3 and proceeded as long as the participant remained in N2 or N3 sleep. Cue

presentation was immediately stopped whenever any sign of an arousal, movement, wakefulness or change to stage N1 or REM sleep was observed by the experimenter. After reoccurring N3 sleep,

cue presentation was continued. ANALYSES OF POWER CHANGES IN RESPONSE TO CUES EEG data analysis included four participants with one additional learning round with feedback in the vocabulary

learning task before sleep. Please note, that EEG data analysis in this study is similar to data analysis performed in our previous experiment in adults (see8 for further information on EEG

analysis). EEG signals were preprocessed using Brain Vision Analyzer 2.0 (Brain Products, Gilching, Germany). Preprocessing included re-referencing the raw EEG data to the average of the two

mastoids as well as low-pass (30 Hz, roll-off 24 dB per octave) and high-pass filtering (0.1 Hz, roll-off 12 dB per octave). EEG data were epoched into segments which included 2 s before

and 3 s after word onset. Similar to previous studies, segments were categorized in “Gain” words (i.e., Dutch words not remembered before sleep but correctly recalled after sleep), “Loss”

words (i.e., words correctly retrieved before sleep but not remembered after sleep), “HitHit” words (i.e., words correctly retrieved before and after sleep) and “MissMiss” words (i.e., words

not remembered before and after sleep)7. Additional EEG oscillatory analyses were performed using the Fieldtrip toolbox28 running on Matlab R2014a (MathWorks, Natick, MA). Time-frequency

analysis was computed trial by trial using a 7-cycle Morlet wavelet decomposition (2 to 25 Hz, step size of 0.5 Hz). A sliding window (step size of 10 ms) was applied across the entire

length of the epochs. Single trials were normalized with respect to a pre-stimulus time window ranging from −1000 ms to −100 ms. STATISTICAL ANALYSES Statistical analyses were based on

student’s t-tests. The level of significance was set to _p_ ≤ 0.05. For correlational analyses, Kendall’s Tau was used due to our small sample size. Statistical quantification of the EEG

data was accomplished using a cluster-based nonparametric permutation approach in FieldTrip29. Initially, oscillatory power in the theta (6–8 Hz) and sleep spindle (12–16 Hz) range were

averaged over frequency and differences between gain and loss trials were tested using paired sample t-tests (_p_ < 0.05; two-tailed). To correct for multiple comparisons, 1000

permutations were drawn and the cluster with the largest summed t-value was tested against the permutation distribution. RESULTS LEARNING AND RETENTION PERFORMANCE During the last learning

trials prior to sleep, participants correctly remembered 42.89 ± 2.76 German translations of the 92 Dutch words (i.e., 46.62 ± 3.00%). On the morning after sleep, the amount of correctly

recalled words did not significantly differ between cued and uncued words (cued: 97.12 ± 2.28%; uncued: 102.81 ± 2.04% with memory performance before sleep set to 100%, _t_(17) = −1.04, _p_ 

= 0.12; see Fig. 2a). As memory for uncued words was greater than for cued words it is unlikely that the lack of a benefit of TMR on memory consolidation during sleep in adolescents is due

to low statistical power. We further analyzed “Gain” words (i.e., Dutch words not remembered before sleep but correctly recalled after sleep) and “Loss” words (i.e., words correctly

retrieved before sleep but not remembered after sleep) separately. Again, the number of gains and losses did not significantly differ for cued and uncued words (gains: _p_ > 0.50; losses:

_p_ > 0.20). By testing the recall one week later the results did not change meaning that the correctly recalled words did not differ between cued and uncued conditions (cued: 92.08 ± 

2.47%; uncued: 96.58 ± 2.94% with memory performance before sleep set to 100%; _t_(17) = −1.66, _p_ = 0.31; see Fig. 2b). Previous studies have reported a relationship between the pre-sleep

level of performance and sleep-dependent memory consolidation7,30,31,32. Thus, we also performed correlation analyses between baseline performance (i.e., the relative amount of learnt

vocabulary) and retention performance. Baseline performance was significantly correlated with retention performance of cued Dutch words (_τ = _0.35, _p_ = 0.046) but not with uncued Dutch

words (_τ = _−0.04, _p_ = 0.82). The correlation between baseline performance and retention of cued words increased (_τ_ = 0.50, _p_ = 0.006) after excluding one participant from the

analysis who was obviously very distant from other participants (see the red marked data point in Fig. 3). Excluding all participants who received an additional learning round with feedback

before sleep yielded similar results. However, by removing these participants we also reduce the sample size. Thus, although the correlation is not significant in this case, it shows a

statistical trend (_τ_ = 0.38, _p_ = 0.078, see hollow marked data points in Fig. 3). Moreover, adding baseline memory performance as a covariate to our main analysis did not change the

result pattern (_p_ = 0.09), which could be a consequence of a lack of power. NEURONAL CORRELATES OF MEMORY CUEING DURING SLEEP In our previous studies in adults we found an increase in

theta-power (5–8 Hz) as well as spindle- power (12–16 Hz) after presenting “Gain” words (i.e., cued Dutch words not remembered before sleep but correctly recalled after sleep) with “Loss”

words (i.e., cued words correctly retrieved before sleep but not remembered after sleep). These effects were most pronounced over the fronto-central lobe7. In a next step, we therefore

analyzed theta and spindle power in response to cue exposure. EEG activity during post-learning sleep was increased in response to gains as compared to losses specifically in the theta

frequency range in a significant cluster over the frontal cortex 500 to 1200 ms after cue onset (6 to 8 Hz; gain: 0.52 ± 0.18; loss: 0.15 ± 0.08; _t_(13) = 2.87, _p_ = 0.013; corrected for

multiple comparisons; see Fig. 4 for a description of significant electrodes and their position over the scalp). Importantly, in contrast to our previous studies, we did not find any

significant cluster of increased spindle activity (12 to 16 Hz, 500–1000 ms after cue onset, Fig. 4). Moreover, we neither found any significant cluster in the theta nor spindle range during

post-learning sleep in response to HitHit words as compared to MissMiss words. We additionally calculated mean power values within the significant time window (0.5–1.2 s) of delta (1–4 Hz),

theta (6–8 Hz) and spindle (12–16 Hz) activity on Fz, Cz and Pz electrodes and the delta and spindle power over the whole night. None of the power values correlated significantly with the

number of overnight gains (all _p_ > 0.10). DISCUSSION In the present study, we analyzed the impact of targeted memory reactivation on the consolidation of newly acquired Dutch vocabulary

in 11 to 13-year-old participants. In contrast to our previous studies in adults, we could not find any beneficial effects of TMR on recall performance the morning after sleep in this

particular age group. However, we found an increase in theta activity over frontal regions which is well in line with the previous studies in adults that had identified this oscillatory

pattern as a marker of successful memory reactivation. Nonetheless, no increase in spindle activity was observed, which was previously reported during successful reactivation during sleep in

young adults. According to the system consolidation hypothesis, new memories are spontaneously and repeatedly reactivated in the hippocampus during post-learning periods of NREM sleep2,33.

These reactivations are thought to stabilize the new memory traces for the long-term and integrate them into our neocortical network of preexisting memories. Slow oscillating activity is

crucial to this process as it temporally coordinates neuronal activity in different brain regions and thereby possibly facilitates the transfer of neuronal information2,34,35. Although slow

oscillating sleep EEG activity is at its maximum at the time of late childhood and early adolescence14,15,16, we did not find any beneficial effect of TMR on memory consolidation in this age

group. In comparison with previous studies utilizing TMR in adolescents36 (N3 = 32.47%), subjects showed a lower amount of slow wave sleep in the current study. We do not believe that the

amount of N3 sleep can explain the lack of TMR benefits on memory, because adults have similar or even lower amounts of N3 sleep37 and show robust memory increases by TMR8. One could

speculate that endogenous processes of reactivation are per se highly efficient at this developmental time, thus preventing any further increase by external stimulation. This appears

unlikely as retention rates for cued Dutch words were even lower in our group as compared to the group of adults tested in a previous study (children/adolescents: 97%; adults: 105%)8.

Moreover, we found beneficial effects of TMR using picture-word associations in another previous study in 9–16 year old participants36 which also speaks against a general impossibility to

improve processes of memory consolidation using TMR. Alternatively, task-related factors may exist that determine whether memory consolidation can benefit from TMR or not. Because the main

aim of this study was to test the effect of TMR in an adolescent sample, we decided to stick to an almost similar paradigm as in our previous TMR study with adults8. Our task differs from

previous studies testing novel word learning in children19,21,22 as we used semantically related learning material. Therefore, memory performance measures cannot directly be compared as

different memory processes might underlie these tasks and different mechanisms might support consolidation of novel and related associations. Here, we found that the baseline performance

before sleep was positively correlated with retention performance after sleep for cued words. These results suggest that the beneficial effect of TMR depends on the baseline performance

level, which parallels with our previously found correlation between pre-sleep learning performance and the effect of TMR in adults8. The idea that overnight consolidation of new memories is

related to pre-sleep learning level is also in line with another previous study in children and adults reporting that the pre-sleep level of performance predicts the extent to which sleep

as compared to wakefulness improves later memory recall31. We hypothesize that greater difficulties to learn new Dutch vocabulary might originate from less prior knowledge in our sample of

adolescents. Indeed, emerging evidence indicates that prior knowledge does not only facilitate learning but also critically impacts processes of memory consolidation38,39,40,41. Accordingly,

we recently reported that prior knowledge does not only increase learning performance but that the existence of prior knowledge is an essential prerequisite for beneficial effects of TMR on

memory consolidation, which even occurred when accounting for the pre-sleep learning level30. Developmental studies provide further support for an impact of prior knowledge on memory

consolidation especially in the context of language learning (see also James and colleagues18 for a general discussion of the notion that “the rich get richer” in language learning). For

example, Henderson and colleagues exposed children and adults to novel words and found that the extent of integration of these words into existing lexical knowledge over time was strongly

predicted by already existing vocabulary knowledge21. Dyslexic children with deficits in vocabulary knowledge also showed differences in sleep-dependent memory consolidation. While these

children show a similar overnight improvement when compared to healthy controls, slow wave and spindle power was significantly associated with overnight improvement only in healthy controls

but not in dyslexic children. These findings led authors to speculate that weaker memory traces formed during encoding results in a more passive role of sleep in long-term memory

consolidation32. Accordingly, a low performance level at learning in our sample might coincide with less stable memory traces, which in turn prevents access to sleep-dependent processes of

memory consolidation (see also the discussion on the role of memory strength in sleep-dependent memory consolidation in42). This explanation is well in line with our previous findings in the

elderly, where participants had profound difficulties in the acquisition of new vocabulary in the learning session and TMR failed to improve memory consolidation during post-learning

sleep43. Future research should aim to investigate the interplay between pre-sleep level of performance, access to prior knowledge and the effect of TMR on long-term consolidation of new

vocabulary by experimentally manipulating these processes separately. An elegant task to experimentally manipulate prior knowledge in the context of language learning which was found to be

suitable in children and adults, has been developed by James and colleagues19. In this task, prior knowledge was manipulated by exposing novel words that varied in the number of word form

“neighbors”. For example, “peflin” was selected as a novel word having no neighbors while “ballow” was selected having many neighbors such as “bellow”, “wallow”, “ballot”, etc.). This task

would also allow modifying pre-sleep level of performance by extending or shortening the amount of learning. Interestingly, while distinct words with less prior knowledge are indeed a

disadvantage for learning in children and adults in this task, they were consolidated better in children over a week, showing that the role of prior knowledge for processes of memory

consolidation is complex. With regards to brain oscillations, theta activity was increased in response to gain words as compared to loss words, which is well in line with previous studies in

adults7,24,30,44. However, in contrast to previous studies we were not able to find an increase in spindle activity. Now the question arises whether the lack of increased spindle activity

is related to the absent effect of TMR on the behavioral level. We recently proposed that theta activity reflects the reinstatement of the original memory trace while spindle activity is

related to the integration of the new memory trace into the neocortical long-term network of preexisting knowledge and its stabilization13. According to this theoretical model, both neuronal

oscillations are necessary for beneficial effects of TMR on later recall performance. In our study, TMR might have stimulated the reactivation of the newly formed memory traces in the

hippocampus as reflected in an increase in theta activity. However, due to low activation of neocortical networks of prior knowledge during learning, neocortical memory traces were too weak

to be reactivated by TMR. Consequently, the integration of memory traces into the neocortex and their stabilization was not further improved by TMR, which is reflected by the lack of

increased spindle activity. Also other studies have found specific neural correlates of TMR without behavioral effects34,44,45. As the tasks in all of these studies, including the current

paradigm, previously produced TMR benefits on memory, we believe that other factors (e.g. baseline performance) aside from the task itself explain the lack of memory benefits. Future studies

should assess the behavioral effects and the neuronal correlates of reactivating new memories with and without prior knowledge at different pre-sleep learning levels. The combined patterns

of behavioral and neurophysiological results will help to uncover relevant factors that determine whether memory gains access to processes of sleep-dependent memory consolidation and it will

provide information on underlying neurophysiological mechanisms. Our findings point towards age-dependent differences in sleep-dependent consolidation of newly acquired memories. We could

show that experimentally manipulating processes of memory reactivation during sleep by TMR is feasible in adolescents and can help to increase our understanding about general processes of

long-term memory consolidation. Future studies should proceed by applying this technique in order to gain a deeper insight into important factors that facilitate long-term memory

consolidation. Importantly, there is a need for larger sample sizes (as compared to the current experiment) in order to take into account the great variability regarding sleep and learning

processes in this age-group. Such experiments could have direct implications for educational settings. More specifically, in education, there is a general tendency to teach more in less

time. Our findings suggest that more time and more effort lead to improved learning and that more stable memory traces would increase the chance of a new memory content to get stored for the

long-term – leading to an ultimately better performance in the long term. DATA AVAILABILITY The datasets generated during the current study are available from the corresponding author on

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1–12 (2018). Article  CAS  Google Scholar  Download references ACKNOWLEDGEMENTS This work was supported by the Child Research Centre of the University Children’s Hospital in Zürich, the

University of Zürich (Forschungskredit) and by three grants of the Swiss National Science Foundation (SNSF, P300P1_174450, 100014_162388, 10001C_179241). We thank Anna Wick for assistance in

data analysis and Louisa Clarke for helpful comments on an earlier version of this manuscript. Non-financial Disclosure: none. AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Department of

Psychiatry and Psychotherapy, Translational Psychiatry Unit (TPU), University of Lübeck, Lübeck, Germany Ines Wilhelm * Ludwig Maximilians University, Department of Psychology, Cognitive

Neuropsychology, Munich, Germany Thomas Schreiner * Department of Psychology, University of Fribourg, Fribourg, Switzerland Jonas Beck & Björn Rasch Authors * Ines Wilhelm View author

publications You can also search for this author inPubMed Google Scholar * Thomas Schreiner View author publications You can also search for this author inPubMed Google Scholar * Jonas Beck

View author publications You can also search for this author inPubMed Google Scholar * Björn Rasch View author publications You can also search for this author inPubMed Google Scholar

CONTRIBUTIONS I.W., B.R., T.S. designed the experiment, I.W. carried out the experiments, I.W., T.S., J.B. analyzed the data, I.W., B.R., J.B. wrote the paper. All authors reviewed the

manuscript CORRESPONDING AUTHOR Correspondence to Ines Wilhelm. ETHICS DECLARATIONS COMPETING INTERESTS The authors declare no competing interests. ADDITIONAL INFORMATION PUBLISHER’S NOTE

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license, visit http://creativecommons.org/licenses/by/4.0/. Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Wilhelm, I., Schreiner, T., Beck, J. _et al._ No effect of targeted

memory reactivation during sleep on retention of vocabulary in adolescents. _Sci Rep_ 10, 4255 (2020). https://doi.org/10.1038/s41598-020-61183-z Download citation * Received: 30 October

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