Volume 33, Issue 4 e14121
RESEARCH ARTICLE
Open Access

Sleep-dependent memory consolidation of televised content in infants

Neele Hermesch

Corresponding Author

Neele Hermesch

Faculty of Psychology, Ruhr University Bochum, Bochum, Germany

Correspondence

Neele Hermesch, Ruhr University Bochum, Universitaets Strasse 150, 44801 Bochum, Germany.

Email: [email protected]

Contribution: Conceptualization, Writing - original draft, ​Investigation, Formal analysis, Methodology

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Carolin Konrad

Carolin Konrad

Faculty of Psychology, Ruhr University Bochum, Bochum, Germany

Contribution: Conceptualization, Funding acquisition, Writing - review & editing, Supervision, Resources, Methodology, Project administration

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Rachel Barr

Rachel Barr

Department of Psychology, Georgetown University, Washington, District of Columbia, USA

Contribution: Conceptualization, Writing - review & editing, Methodology, Supervision

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Jane S. Herbert

Jane S. Herbert

School of Psychology, University of Wollongong, Wollongong, New South Wales, Australia

Contribution: Conceptualization, Writing - review & editing, Supervision, Methodology

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Sabine Seehagen

Sabine Seehagen

Faculty of Psychology, Ruhr University Bochum, Bochum, Germany

Contribution: Supervision, Resources, Project administration, Conceptualization, Funding acquisition, Methodology, Writing - review & editing

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First published: 19 December 2023

Summary

Infants face the constant challenge of selecting information for encoding and storage from a continuous incoming stream of data. Sleep might help in this process by selectively consolidating new memory traces that are likely to be of future relevance. Using a deferred imitation paradigm and an experimental design, we asked whether 15- and 24-month-old infants (N = 105) who slept soon after encoding a televised demonstration of target actions would show higher imitation scores (retention) after a 24-h delay than same-aged infants who stayed awake for ≥4 h after encoding. In light of infants’ well-known difficulties in learning and remembering information from screens, we tested if increasing the relevance of the televised content via standardised caregiver verbalisations might yield the highest imitation scores in the sleep condition. Regardless of sleep condition, 24-month-olds exhibited retention of target actions while 15-month-olds consistently failed to do so. For 24-month-olds, temporal recall was facilitated by sleep, but not by parental verbalisations. Correlational analyses revealed that more time asleep within 4 h after encoding was associated with better retention of the target actions and their temporal order in 24-months-olds. These results suggest that sleep facilitates memory consolidation of screen-based content in late infancy and that this effect might not hinge on caregivers’ verbal engagement during viewing.

1 INTRODUCTION

Infants face a continuous stream of incoming information every day. Some of this information will be needed in the future and should be stored in memory for later retrieval. Recent research has suggested that sleep may play a crucial role in early memory processing, in that newly acquired memories are consolidated during sleep soon after encoding (Mason & Spencer, 2022; Seehagen, 2022). Memory benefits of post-encoding naps have been demonstrated across different tasks and for different age groups throughout infancy (e.g., Horváth et al., 2018 for review).

How can the memory-enhancing effects of sleep be explained on a neurophysiological level? The synaptic homeostasis hypothesis posits that sleep-induced synaptic downscaling strengthens memories by conserving highly potentiated connections established during wakefulness (Tononi & Cirelli, 2006). The active systems consolidation theory suggests that during sleep, memories are reactivated and transferred from the hippocampus to neocortical areas for longer-term storage (Diekelmann & Born, 2010). The theories are not mutually exclusive in explaining sleep-dependent memory consolidation (Klinzing et al., 2019). However, not all new memories might benefit from sleep-dependent consolidation to the same extent. Interpreting research predominantly conducted with adults, Stickgold and Walker (2013) proposed that those memories ‘tagged’ as relevant are selectively targeted for consolidation during sleep. Other untagged memories, in contrast, might not benefit from sleep-associated consolidation, and therefore not be strengthened. According to this idea, sleep-dependent memory consolidation is selective in nature. For adults, personal value (van Rijn et al., 2017), the expectation of being tested (van Dongen et al., 2012) or receiving monetary rewards (Fischer & Born, 2009) all serve as relevance tags and have been shown to facilitate sleep-dependent memory consolidation. These factors would not have the same relevance for infants.

To date, only one published study has examined whether sleep selectively strengthens relevant memories in infants. To assess memory performance as a function of relevance and sleep in 15- and 24-month-olds, Konrad et al. (2019) used a deferred imitation task. In this paradigm, infants observe an experimenter demonstrate a set of actions with unfamiliar objects. Infants’ ability to reproduce these target actions is tested after a delay. Retention is inferred if infants in the experimental conditions perform more target actions at test than infants who interacted with the objects without prior demonstration (baseline control condition; Meltzoff, 1985). In their study, Konrad et al. (2019) demonstrated an irrelevant and relevant action on each of four toys. Infants in the nap condition napped soon after the demonstration whereas infants in the no-nap condition stayed awake for at least 4 h. The authors reasoned that sleep soon after encoding might lead to selective consolidation of actions that are relevant for achieving a goal (i.e., get access to a toy). Irrelevant actions might, in contrast, be remembered more poorly if sleep followed encoding because they did not receive a salience tag. The results were partially consistent with the idea of selective sleep-dependent memory consolidation. After a 24-h delay, infants in the no-nap condition imitated the relevant and irrelevant actions faithfully in the order they were demonstrated. Infants in the nap condition did not reproduce the actions in the demonstrated order above chance level suggesting selectivity in consolidation. However, contrary to expectations, there was no difference in reproduction of the relevant action only between conditions. Here, infants in the nap condition were expected to have an advantage. Given the potentially high developmental relevance of selective sleep-dependent memory consolidation and the inconclusiveness of Konrad and colleagues’ results, the present study was designed to test the effects of a different potential relevance tag that is, trustworthiness of the information.

Caregivers appear as trustworthy sources of relevant information to infants (e.g., Harris & Corriveau, 2011). In contrast to real-life interactions, information presented on screens appears less trustworthy to infants and young children. While previous research has demonstrated that infants and young children are able to learn from screens (Barr, 2013, 2019), learning performance is inferior compared to personal interactions (Strouse & Samson, 2021). For example, Troseth et al. (2006) have demonstrated that 2-year-olds failed to recognise the relevance of information displayed as a non-contingent video on a screen to solve an object-search task in the three-dimensional (3D) world but solved the problem when there was socially contingent information via live video. Accordingly, caregivers can support infants’ learning from video by highlighting the connection between 2D-screen content and the 3D world (Strouse & Troseth, 2014), which may also serve as a social signal for the future relevance of displayed information.

The objective of the present study was to assess whether caregiver scaffolding during viewing facilitates sleep-dependent memory consolidation of televised content at 15 and 24 months of age. Caregiver scaffolding may act as a social signal for the content's relevance and therefore facilitate sleep-dependent memory consolidation. Using a deferred imitation paradigm, we tested retention of target actions after a 24-h delay in infants who either slept soon after encoding the televised demonstration of target actions (nap condition) or who stayed awake (no-nap condition). We predicted that infants in the nap condition would exhibit higher imitation scores than infants in the no-nap condition for content accompanied by caregiver scaffolding. Televised content presented without caregiver scaffolding should not receive this relevance tag and thus memory performance should not differ as a function of sleep status. Based on prior studies (e.g., Barr et al., 2007), we predicted that infants at both ages would demonstrate memory for the demonstrated actions after 24 h, but that 24-month-olds would perform significantly more target actions than 15-month-olds. This study was pre-registered on the Open Science Framework (OSF) (https://osf.io/nehf5).

2 METHODS

2.1 Participants and design

The participants were 51 full-term infants aged 15 months (mean [SD] age 459.86 [15.83] days; 45% female) and 54 full-term infants aged 24 months (mean [SD] age 740.83 [14.07] days; 44% female). All infants were randomly assigned to a nap, no-nap or a baseline control condition (n = 17 per condition; three additional 24-month-olds were included in our analyses as appointments were already scheduled when reaching the pre-registered sample size). For inclusion, infants in the nap condition had to nap uninterruptedly for ≥30 min within 4 h after encoding (i.e., after the demonstration session). Thus, online appointments were scheduled shortly before infants were expected to naturally take a nap as reported by their caregivers. Infants in the no-nap condition were required to stay awake for ≥4 h after encoding (i.e., 0 min of actigraphy-detected sleep). For these infants, encoding was scheduled shortly after usually waking up in the morning or from a nap. Infants in the baseline control condition were tested for spontaneous production of target actions (see Section 2.2.4 for detailed procedures). Within the same session, they were also tested for immediate imitation of target actions to assess whether sleep timing prior to the demonstration impacts encoding. Thus, half of the infants in the baseline control condition had slept for ≥30 min within 4 h before the testing immediate imitation. The other half of infants in the baseline control condition were awake for ≥4 h prior to the online appointment (cf. Seehagen et al., 2015). A total of 67 additional infants were tested but ineligible for inclusion in the final sample. Reasons for exclusion were inconsistent sleep behaviour with assigned condition (n = 25), no valid actigraphy data (n = 14), caregiver interference (n = 18), experimenter or technical error (n = 8) or failure to touch the stimuli during the test session (n = 2). Approval for the study was obtained from the Ethics Committee of the Faculty of Psychology at Ruhr University Bochum (approval number 598). All caregivers provided written informed consent.

The study followed a mixed design: age (15 months, 24 months) and experimental condition (nap, no-nap, baseline control condition) were between-subject factors. The presence of caregiver scaffolding was a within-subject factor. This involved each infant participating in two deferred imitation tasks. The demonstration of only one imitation task was accompanied by caregiver scaffolding (see Figure 1 for a schematic overview).

Details are in the caption following the image
Schematic overview on design and procedures as a function of experimental condition. Order of conditions (scaffolding: yes, no) and assignment of stimuli to the scaffolding or no-scaffolding condition was counterbalanced across participants.

2.2 Materials and procedures

Due to COVID-19, all sessions took place online. Prior to the first appointment, required materials were supplied to participating families, including an actiwatch, a tablet containing the video demonstrations (26.4-cm [10.4-inch] diagonal screen size), the stimuli for the test session and a small gift for the infants for participation. Caregiver-infant dyads in the experimental conditions joined two video chat appointments scheduled 24 h apart. Participants in the baseline control condition and their caregivers joined one video chat appointment.

2.2.1 Apparatus

The imitation stimuli were equivalent to those described in prior research and have successfully been used to investigate memory development across the second year of life (e.g., Barr et al., 2007; Barr & Hayne, 1999; Herbert & Hayne, 2000). Table 1 presents the stimulus sets for both imitation tasks, that is the rattle and the rabbit stimuli (for dimensions of their components see Table S1). To assemble the rattle or the rabbit toy, respectively, three target actions are required on each stimulus set (see Table 1).

TABLE 1. Stimulus sets and target actions of imitation tasks.
Stimulus set Target action 1 Target action 2 Target action 3

image

Rattle task

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Push wooden bead through diaphragm into jar

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Place stick on jar attaching with Velcro

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Shake stick to make noise

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Animal task

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Pull handle in circular motion to raise ears

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Place eyes on face attaching with jar

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Put carrot in rabbit's mouth

2.2.2 Demonstration session

Caregiver-infant dyads joined the first video chat appointment using their own device (e.g., laptop or tablet). The infant sat on their caregiver's lap or in a highchair. After a short familiarisation phase, the experimenter asked the caregiver to show the demonstration videos to their infant on the provided tablet. In the demonstration video for each task, a female model demonstrated the three target actions on the respective stimulus three times in succession. While viewing the demonstration video of one imitation task, caregivers were instructed to scaffold by commenting on the video, without providing verbal labels for the stimuli or actions, following a standardised script, (e.g., ‘Look, she has made something!’; cf. Barr & Wyss, 2008). The demonstration video of the other task was viewed without any form of caregiver scaffolding, that is caregivers were instructed not to comment on the video. Order of conditions and assignment to the scaffolding condition was counterbalanced across participants. After the demonstration session, an actiwatch (Micro Motionlogger, Ambulatory Monitoring Inc.) was attached by the caregiver to the infant's ankle to monitor sleep/wake patterns for the next 24 h. Additionally, caregivers were instructed to complete a sleep diary to control for artefacts in actigraphy data. They also completed the Media Activity Questionnaire (MAQ, Barr et al., 2020), the Brief Infant Sleep Questionnaire (BISQ-R-SF; Sadeh, 2004; Mindell et al., 2019) and the Time Use Diary (Barr et al., 2020).

2.2.3 Test session

The test session also took place via video chat. Again, the infant sat on the caregiver's lap or in a highchair. After a short familiarisation the experimenter instructed the caregiver to reveal the stimuli for the first task and place them within infant's reach. The experimenter said, ‘Look. Now it is your turn.’ and the infant had 90 s to interact with the stimuli from first touching the stimulus. After the test period, the first set of stimuli were removed from the infant's sight. The procedure was then repeated with the second set of stimuli. No verbal labels were used for the objects or target actions. All sessions were video recorded.

2.2.4 Baseline control condition

Infants in the baseline control condition wore the actiwatch in the 24 h leading up to the video chat appointment. To assess spontaneous production of target actions, infants were given one set of stimuli at a time in an initial baseline phase, and they had 90 s to interact with each stimulus. Then, infants in the baseline control condition viewed both demonstration videos, one of which was accompanied by caregiver scaffolding, as described for experimental conditions. Immediately afterwards, they received both sets of stimuli one after the other once again and had 90 s to reproduce the target actions (immediate test phase; see also Figure 1).

2.3 Data processing and coding

Actigraphy data were analysed in Action-W software (Ambulatory Monitoring Inc.; Ambulatory Monitoring, 2023) in 1-min epochs using zero-crossing mode. For sleep–wake scoring, we applied the algorithm developed by Sadeh et al. (1994) for adults and infants aged >1 year. Moreover, sleep and wake episodes were determined by a user-specified criterion of at least 15 consecutive minutes of scored sleep or 5 consecutive minutes of scored wakefulness, respectively (guided by Galland et al., 2016). In cases of discrepancy between sleep diaries and actigraphy, the sleep diary was only relied upon if the caregiver reports suggested a bias due to artefacts (e.g., external movement or off-wrist periods).

Infants’ attention to video demonstrations on the tablet was coded using Mangold Interact (Version 18.03.20; Mangold International, 2018). Percentage of looking time in relation to video duration was calculated.

The number of target actions performed with each set of stimuli (i.e., the imitation score) was coded for each video-recorded test session. Infants received 1 point for each target action, regardless of order (range: 0–3 points). Additionally, we coded if infants imitated the target actions in the demonstrated order (range: 0–2 points) and the latency to first target action (time interval between first touching the stimuli and the first imitated target action). Every test session was coded by two independent coders. Mean reliability was к = .95. Disagreement between coding was resolved through a third independent coder. We also counted the number of prescribed phrases caregivers said while watching the demonstration video with their infant. All caregivers from the final sample complied with the script and read out the required minimum of three out of six phrases.

3 RESULTS

3.1 Descriptives and preliminary analyses

Descriptive statistics on infants’ sleep as a function of age and condition are displayed in Table 2. Table 3 presents descriptive statistics on outcome measures of the imitation task.

TABLE 2. Sleeping behaviour within 4 h after encoding as a function of condition and age.
Condition Time of test, clock time (h:min) Sleep duration within 4 h after encoding, min, mean (SD) Latency to next sleep episode, min, mean (SD)
15 months
Nap 10:49 a.m. (0:59) 79 (36) 66 (59)
No-nap 2:25 p.m. (1:25) 0 312 (51)
Baseline prior sleep 2:13 p.m. (1:02) - -
Baseline prior wake 11:26 a.m. (2:33) - -
24 months
Nap 11:00 a.m. (0:53) 91 (36) 88 (64)
No-nap 1:30 p.m. (2:34) 0 320 (82)
Baseline prior sleep 2:07 p.m. (2:35) - -
Baseline prior wake 1:48 p.m. (3:28) - -
  • Note: time of test differed significantly between experimental conditions (F[1, 65] = 63.76, p < 0.001, η2G = 0.495) but was uncorrelated with memory performance (ρ = −0.05, p = 0.659).
TABLE 3. Means (SDs) of outcomes of imitation tasks as a function of age, condition, and presence of caregiver scaffolding.
Condition Scaffolding No-scaffolding
Imitation score (0–3), mean (SD) Sequence score (0–2), mean (SD) Latency to first action, s, mean (SD) Imitation score (0–3), mean (SD) Sequence score (0–2) mean (SD) Latency to first action, s, mean (SD)
15 months
Nap 0.65 (0.79) 0.12 (0.33) 36.50 (22.68) 0.88 (0.93) 0.06 (0.24) 25.40 (19.29)
No-nap 0.53 (0.94) 0.18 (0.53) 25.80 (27.72) 0.88 (0.99) 0.18 (0.53) 26.80 (18.40)
Baseline 0.65 (0.61) 0 (0) 40.70 (25.10) 0.18 (0.39) 0 (0) 45.00 (38.30)
24 months
Nap 2.18 (1.13) 1.00 (0.71) 8.86 (6.05) 2.35 (0.93) 1.00 (0.79) 25.12 (25.32)
No-nap 1.72 (1.13) 0.56 (0.78) 26.71 (23.0) 1.83 (0.99) 0.56 (0.70) 14.56 (11.87)
Baseline 0.74 (0.99) 0.16 (0.37) 36.78 (23.83) 1.11 (1.05) 0.31 (0.58) 26.67 (23.45)
  • Note: for the baseline condition, spontaneous production of target actions are reported. In this condition tasks were presented in a random order and matched to the experimental conditions even though there was no scaffolding during baseline. Means and standard deviations (SDs) for latency to first action are calculated only based a reduced sample size of infants who performed at least one target action in the respective condition.

In preliminary analyses, we confirmed that across experimental groups and age, infant looking time to the video demonstrations was very high (mean [SD] looking time: 96.70% [7.33%]).

To assess if prior sleep timing affected encoding, we conducted a 2 (age group: 15 months, 24 months) × 2 (baseline group: prior sleep, prior wake) × 2 (scaffolding; yes, no) × 2 (experimental phase: baseline, immediate test) mixed analysis of variance (ANOVA) with repeated measures across scaffolding and experimental phase on the number of performed target actions in the baseline condition (see Table 4 for descriptive statistics on immediate imitation and Table S2 for ANOVA results). First, there was a main effect of age. The 24-month-olds produced a higher number of target actions than 15-month-olds (F[1,32] = 31.33, p < 0.001, η2G = 0.24). Second, there was a main effect of phase. Infants produced more target actions during the immediate test phase than during the baseline phase (F[1,32] = 96.12, p < 0.001, η2G = 0.23). Third, there was a phase by age group interaction. The increase in target actions from baseline to immediate test phase was more pronounced in 24-month-olds (F[1,32] = 17.25, p < 0.001, η2G = 0.05). Bonferroni-corrected post hoc t-tests revealed that both 15- (difference in means [MDiff] = 0.5, p = 0.002) and 24-month-old infants (MDiff = 1.26, p < 0.001) performed significantly more target actions in the immediate test phase than in the baseline phase, showing their ability to immediately imitate target actions from the video demonstration. Fourth, the ANOVA yielded no main effect and no interactions of scaffolding on the reproduction of the target actions. Lastly, there was no significant effect of sleep status (awake or nap before encoding). Hence, prior sleep status did not affect encoding.

TABLE 4. Outcomes of the immediate imitation in the baseline control condition.
15 months 24 months
Prior sleep Prior wake Prior sleep Prior wake
Number of produced target actions (0–3), mean (SD) 0.78 (0.55) 1.06 (0.93) 1.95 (1.05) 2.44 (0.78)
Sequence score (0–2), mean (SD) 0 (0) 0.06 (0.25) 1.00 (0.79) 1.00 (0.84)
Latency to first action, s, mean (SD) 33.75 (27.54) 34.45 (25.72) 15.94 (20.30) 8.61 (13.81)

3.2 Main analyses

To test if caregiver scaffolding facilitates sleep-dependent memory consolidation of televised content, we conducted a 2 (age group: 15 months, 24 months) × 3 (experimental condition: nap, no-nap, baseline control) × 2 (scaffolding: yes, no) mixed ANOVA with repeated measures on scaffolding on the number of produced target actions. For infants in the baseline control condition, the number of spontaneously produced target actions in the baseline phase was used in all main analyses. Results are presented in Table 5 (left). Contrary to our main hypothesis there was no condition × scaffolding interaction (F[2,99] = 0.47, p = 0.625). Thus, there was no beneficial effect of caregiver scaffolding on memorising televised content as a function of post-encoding sleep. However, there were main effects of age (F[1,99] = 67.55, p < 0.001, η2 = 0.24) and condition (F[2,99] = 16.11, p < 0.001, η2G = 0.13) and an age × condition interaction (F[2,99] = 5.28, p = 0.007, η2G = 0.05). To disentangle this interaction, we conducted Tukey-corrected pairwise contrasts. The 15-month-olds in the nap (MDiff = 0.35, p = 0.247) and the no-nap (MDiff = 0.29, p = 0.376) condition failed to imitate the target actions above baseline levels. Thus, irrespective of their sleep status 15-month-olds did not show retention of video-demonstrated target actions after a 24-h delay. At 24 months, infants demonstrated retention of target actions regardless of whether they had slept soon after encoding or not: infants in the nap (MDiff = 1.34, p < 0.001) and the no-nap (MDiff = 0.86, p < 0.001) condition performed a higher number of target actions than infants in the baseline condition. Numerically, infants in the nap condition reproduced more target actions than infants in the no-nap condition, but this trend failed to reach statistical significance (MDiff = 0.49, p = 0.068).

TABLE 5. Results of the mixed analysis of variance on the number (left) and sequence (right) of produced target actions.
Number of reproduced target actions Sequence of reproduced target actions
Effect F ratio df η2G F ratio df η2G
Age 67.55 1,99 0.24 39.07 1,99 0.19
Condition 16.11 2,99 0.13 9.21 2,99 0.10
Scaffolding 0.95 1,99 0.01 0.06 1,99 0.00
Age × Condition 5.28 2,99 0.05 6.30 2,99 0.07
Age × Scaffolding 0.46 1,99 0.00 0.30 1,99 0.00
Condition × Scaffolding 0.47 2,99 0.01 0.24 2,99 0.00
Age × Condition × Scaffolding 1.62 2,99 0.02 0.12 2,99 0.00
  • Note: η2G indicates generalised eta-squared.
  • a For the baseline control condition number and sequence of reproduced target actions in the baseline phase were included for analysis.
  • * p < 0.05;
  • ** p < 0.01.

As pre-registered, we also considered the sequence of reproduced target actions and the latency to performing the first target action as dependent variables in additional analyses. The results of a 2 (age group: 15 months, 24 months) × 3 (experimental condition: nap, no-nap, baseline control) × 2 (scaffolding: yes, no) mixed ANOVA on the sequence of reproduced target actions were similar to those reported above for the number of target actions (see Table 5, right): There was no condition × scaffolding interaction (F[2,99] = 0.24, p = 0.787), but a main effect of age (F[1,99] = 39.07, p < 0.001, η2G = 0.19) and condition (F[2,99] = 9.21, p < 0.001, η2G = 0.10) and an age × condition interaction (F[2,99] = 6.30, p = 0.003, η2G = 0.07). Follow-up Tukey-corrected pairwise contrasts revealed that 15-month-olds did not show retention of the demonstrated order of target actions, neither in the nap, nor in the no-nap condition. For the 24-month-olds results differed: infants in the nap condition exhibited ordered recall compared to their age-matched baseline control group (MDiff = 0.76, p < 0.001), while this difference failed to reach statistical significance in the no-nap condition (MDiff = 0.32, p = 0.057). Moreover, infants in the nap condition reproduced a significantly higher number of target actions in the correct order than infants in the no-nap condition (MDiff = 0.44, p = 0.006). Hence, there was a beneficial effect of a post-encoding sleep for ordered recall (Figure 2).

Details are in the caption following the image
Mean number of target actions produced in the demonstrated order as a function of age and experimental condition. Sequence scores are averaged across scaffolding conditions (i.e., both imitation tasks). Error bars represent standard errors.

To assign a meaningful value for the latency to first target action in an imitation task, infants must perform one or more target actions. Across conditions, this applied to less than half of the 15-month-olds. Thus, we only performed analyses on the latency to first action for 24-month-olds in the experimental conditions who performed one or more target action. A 2 (condition: nap, no-nap) × 2 (scaffolding: yes, no) mixed ANOVA did not yield significant main or interaction effects (Table S3).

In addition to the analyses of variance, we predicted infants’ imitation performance using multi-level modelling. Results were in accordance with those reported for the ANOVA and can be derived from Tables S4 and S5.

Lastly, we correlated day-time (latency to sleep, sleep minutes within 4 h after encoding) and night-time sleep variables (sleep duration, minutes awake after sleep onset, sleep efficiency, and longest episode awake; Table S6.) from the night between encoding and test with memory performance in both age groups. The longer 24-month-olds slept within 4 h after encoding, the more target actions they reproduced (ρ = 0.30, p = 0.032; Figure S1) and the more likely they were to reproduce them in the demonstrated order (ρ = 0.35, p = 0.013; Figure S2). However, the latency between encoding and the next sleep episode and measures of night-time sleep duration and quality were uncorrelated to infants’ memory performance in the imitation tasks at both ages. We also correlated average infant screen time/day with the number of target actions and sequence scores as a function of age. Parent-reported infant daily screen time was consistently unrelated to infants’ memory performance of video-demonstrated target actions.

4 DISCUSSION

Using a deferred imitation paradigm, this study experimentally investigated infants’ sleep-dependent memory consolidation of televised content. Overall, 15-month-olds failed to recall target actions from a televised demonstration after a 24-h delay regardless of their sleep condition. The 24-month-olds exhibited retention of target actions with and without a post-encoding nap. However, only when sleep soon followed encoding did this age group successfully recall the temporal order of actions. There was no evidence of caregiver scaffolding facilitating sleep-dependent memory consolidation of televised content, or memory of target actions per se. Our results fail to support the idea that sleep selectively consolidates televised content highlighted through caregiver scaffolding. However, memory of televised content appears to benefit from sleep-dependent memory consolidation, similar to content presented in real-life interactions (e.g., Konrad et al., 2016; Seehagen et al., 2015).

From a theoretical perspective, given the rapid developmental changes in memory and sleep, relevance tags that are effective in adults may not apply to sleep-dependent memory consolidation in infants (Konrad et al., 2019). Our findings did not show evidence of selectivity in sleep-dependent memory consolidation based on caregiver scaffolding. It remains unclear for infants what distinguishes memories from others, in terms of relevance or salience tags. Moreover, Cordi and Rasch (2021) summarised several studies failing to replicate selectivity in sleep-dependent memory consolidation, questioning the robustness of the effect in adults, too. Further research across the lifespan is needed to determine, if, under what circumstances, how and which memories are specifically strengthened during sleep and how potential relevance tags might change in development.

Previous research has revealed that caregiver scaffolding boosts infants’ memory performance, in deferred imitation tasks (e.g., Hayne & Herbert, 2004; Simcock et al., 2011; Zack & Barr, 2016). Why was no effect observed in our study? Here, caregiver scaffolding was restricted to a standardised script that contained no labels of task-relevant actions or objects. Due to the online setting, experimenters had to rely on caregivers to start the video on the provided tablets during demonstration sessions. Although being instructed not to further interact with the infants around the video, this resulted in caregivers pressing play and then co-viewing the demonstration video in both conditions. It is possible that caregivers intentionally starting and co-viewing a video might also serve as a social signal for content relevance. In other words, the distinction between the two conditions might not have been sufficient for infants to categorise the scaffolded video as more relevant than the video without scaffolding. Consistent with this interpretation, co-viewing was found to increase infants’ visual attention to screens (Demers et al., 2013) and their learning performance (e.g., Myers et al., 2018). To disentangle these effects, future studies should manipulate features of co-viewing and pedagogical cues.

Although preliminary in nature, our study provides evidence that learning from screen content also undergoes sleep-dependent memory consolidation in infants. Learning from screens is cognitively demanding for several reasons. Screen presentations are perceptually impoverished and lack social contingency, resulting in a weaker representation of screen-based information, which reduces transfer at test (Barr, 2013). This transfer deficit prompted our investigation of whether these memories could benefit from sleep-dependent memory consolidation in a similar way as do memories encoded from in-person demonstrations (Konrad et al., 2016; Seehagen et al., 2015). We did not find a significant memory benefit of post-encoding sleep for number of reproduced target actions as our key dependent variable. However, there was an effect on ordered recall in 24-month-olds. Interestingly, performing target actions in the demonstrated order has been discussed as a more stringent measure of recall because target order has fewer perceptual cues than target actions (Bauer & Mandler, 1992). Still, further evidence is needed across different outcomes and tasks to understand how sleep might help infants with the challenge of remembering information from screens.

Our correlational results also underpin that memory of screen content might benefit from post-encoding naps. More time spent asleep within 4 h of encoding was associated with better memory performance in terms of number and temporal order of reproduced target actions in 24-months-olds. Given the poor performance and the absence of sleep effects in 15-month-olds, this raises the question of whether post-encoding sleep episodes in the nap condition were, on average, too short to elicit memory benefits. As in previous studies involving the same and younger age groups who successfully demonstrated memory benefits of post-encoding naps (e.g., Konrad et al., 2016; Seehagen et al., 2015), infants in the nap condition in the present study were required to sleep for ≥30 min within 4 h after the demonstration session. Reporting numerically similar nap durations, Hupbach et al. (2009) found that 15-months-olds who had napped within 4 h after encoding exhibited retention of grammatical patterns in a language learning task after 24 h, whereas same-aged infants who stayed awake failed to do so. Considering this together with our result that nap duration was uncorrelated with retention in 15-months-olds, it seems unlikely that nap duration was insufficient to uncover effects of sleep-dependent memory consolidation.

Contrary to prior results in studies using the same stimuli and number of demonstrations (e.g., Barr et al., 2007; Barr & Hayne, 1999), our 15-month-olds did not exhibit retention of the target actions after a 24-h delay. Still, the pattern of results is numerically very similar to that of 15-month-olds in the Barr and Hayne (1999) study, indicating that learning multiple sequences and recalling them after a delay is cognitively challenging. Furthermore, as in Barr and Hayne (1999, Experiment 2) performance was better when 15-months-olds were tested immediately. Due to COVID-19 our data were collected online resulting in complex social interactions. Infants had to navigate the experimenter as a social partner on screen, the demonstration video on the tablet, and the stimuli in the test session, respectively, while also monitoring their caregiver. Indications of the complexity of the learning situation are seen in the trend towards a poorer performance in the scaffolding condition (see also Zack et al., 2013). The combined cognitive load of a complex triadic interaction paired with a 24-h delay may have resulted in a floor effect by 15-month-olds, such that we could not detect beneficial effects of sleep or scaffolding on performance. However, the 24-month-olds could presumably navigate this social complexity. We conclude that early screen-based memories might be more susceptible to disruption, that multiple devices could pose particular challenges to learning, and screen-based learning situations should be kept simple.

One limitation of the present study is the absence of a no-interaction control condition, where watching the demonstration video is not embedded in any further social interactions, not even joint attention to the same video. Laboratory settings offer external control over devices and the opportunity to distract caregivers. In future studies one could create a condition completely lacking any form of social signal of interest from adults in the room. In terms of ecological validity, lack of social signal during media usage may not be a rare situation for infants, as caregivers usually report only moderate frequency rates of joint media engagement (Ewin et al., 2021). Moreover, future studies may include conditions with more elaborated forms of caregiver scaffolding, e.g., with verbal labels or precise description of actions (Barr & Wyss, 2008; Simcock et al., 2011). However, it should be kept in mind that the provision of meaningful verbal information confounds the effect of scaffolding per se with potential effects of verbal cues.

Another study limitation is that our sample is primarily from highly educated families who reported low levels of regular media exposure for their infants. Future studies should include more diverse samples with more diverse media exposure to determine the generalisation of our findings (Singh et al., 2023).

5 CONCLUSION

Sleep plays a crucial role in memory processes. The present study demonstrates that sleep may also help infants with the challenge of remembering information from screens. From a theoretical perspective these findings shed further light on how screen content is processed in the developing brain. Given the increasing role screen media plays in infants’ everyday life, it is necessary to increase our understanding of the complex relationships between sleep, memory, and media to provide evidence-based guidance to parents and practitioners.

AUTHOR CONTRIBUTIONS

Neele Hermesch: Conceptualization; writing – original draft; investigation; formal analysis; methodology. Carolin Konrad: Conceptualization; funding acquisition; writing – review and editing; supervision; resources; methodology; project administration. Rachel Barr: Conceptualization; writing – review and editing; methodology; supervision. Jane S. Herbert: Conceptualization; writing – review and editing; supervision; methodology. Sabine Seehagen: Supervision; resources; project administration; conceptualization; funding acquisition; methodology; writing – review and editing.

ACKNOWLEDGEMENTS

Research was funded by the German Research Foundation (SE 2154/6-1; KO 5811/1-1). Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) – Projektnummer 448036156. The authors would like to thank all families who participated in this study. Thank you to Pauline Obereiner and Amelie Enste for their assistance with recruitment of infants, data collection, and coding. Open Access funding enabled and organized by Projekt DEAL.

    CONFLICT OF INTEREST STATEMENT

    The authors declare no conflicts of interest.

    DATA AVAILABILITY STATEMENT

    The data that support the findings of this study are openly available in OSF Storage at https://doi.org/10.17605/OSF.IO/3QF4K, reference number https://osf.io/6r8k4.

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