- 1Department of Educational and Counselling Psychology, Faculty of Education, McGill University, Montreal, QC, Canada
- 2Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada
- 3Research Institute, Montreal University Health Centre, Montreal, QC, Canada
The mental health of young people is a growing public health concern. With socio-emotional difficulties in youth often resulting in psychiatric disorders later in life and most with mental health conditions rather stabilizing in time, it is essential to support healthy socio-emotional development. With a comprehensive definition of mental health, since emotion regulation (ER) plays a critical role in prevention, it becomes imperative to better understand how children effectively manage their emotions from an early age. Determining effective use of ER skills relies on adequate measurements. Typical methods of data collection in children present consistent shortcomings. This review addresses research findings considering the suitability of the late positive potential measured through electroencephalogram as a neural indicator of ER in children and youth. There is growing evidence, as reported in this review, that indicates that the late positive potential may be a reliable neural indicator of children's cognitive reappraisal abilities more specifically. Results generally suggest that the late positive potential amplitudes are sensitive to directed reappraisal in children. However, given the scant research, questions remain regarding developmental trends, methodology, interindividual variability, reappraisal of various stimuli, and how the late positive potential may relate to more traditional measures of ER. Directions for future research are provided, which are expected to address unanswered research questions and fill literature gaps. Taken together, the findings reviewed indicate that the late positive potential is generally sensitive to directed cognitive reappraisal in children and that there is promise of establishing this neural marker as an indicator of ER.
Background
The mental health of young people is a growing public health issue (Patel et al., 2007). It is essential for youth to have the best mental health in order for them to achieve optimal functioning (Chadda, 2018). Approximately 10–20% of children and adolescents are affected by mental health problems worldwide (Kieling et al., 2011). In Canada, like the rest of North America, current estimates suggest that ~14% of children between the ages of 4 and 17 (over 800,000 children) have clinically relevant mental health problems that cause significant anguish and impairment across multiple life domains (Waddell et al., 2005, 2007). Even more alarming is the fact that only 20% of young children with mental health problems receive treatment, leaving a substantial 80% without mental health care services (Martini et al., 2012). Social and emotional difficulties in childhood increase the risk of developing psychiatric disorders, depression, anxiety, and substance use disorders in later life (Costello et al., 2004; Stansfeld et al., 2008). It is therefore essential to promote positive social and emotional learning (OECD, 2015) and prevent mental health problems among children and adolescents (Viner et al., 2012), especially given the stability of most psychiatric disorders (GBD, 2017) in the absence of targeted preventive actions and intervention. A better understanding of the variables that should become the focus of prevention efforts is key for the development of emotional resilience, a known protection factor against mental health disorders (Compas et al., 2017; Gross et al., 2019; Daniel et al., 2020).
Emotion Regulation and Mental Health
Emotion regulation (ER) is an important component of mental health (Gross and Muñoz, 1995). Children as young as 8 or 9 years use cognitions or thoughts about themselves, their feelings, or others to manage their emotions (Harris et al., 1989; Terwogt and Stegge, 1995; Saarni, 1999). In turn, the ability to successfully and adaptively regulate our emotions is known to have positive outcomes in many domains of life, including physical health, well-being, and academics (John and Gross, 2004). Taken together, the regulation of both positive and negative emotions can hence be protective of an individual's overall mental health well-being. Conversely, research supports the association between greater engagement in maladaptive ER strategy use and psychopathology [see Schäfer et al. (2017), for a meta-analysis]. Cognitive ER, defined as the conscious thoughts one uses to manage an emotional response to an aversive event (Thompson, 1991; Garnefski et al., 2001; Gross, 2001), is of particular interest when examining ER and mental health (Hu et al., 2014) along a comprehensive approach. Moreover, gaining a greater understanding of cognitive ER strategies has important implications for preventive and intervention efforts. As such, identifying a robust and valid methodology to measure improvements in ER is critical in determining treatment outcomes (McLean et al., 2020).
Emotion Regulation
ER refers to the use of strategies that seek to regulate the occurrence, intensity, and expression of one's emotions (Thompson, 1994; Gross, 1998). According to the process model of ER, emotions can be controlled and modulated at various stages of the emotion generative process through the use of various strategies (Gross, 1998). ER strategies can be antecedent or response focused such that we have the ability to utilize strategies before the emotion response has been fully activated (antecedent focused) and after the emotion is already underway (response focused) (Gross, 2002). Further, these strategies are generally conceptualized as being either adaptive or maladaptive. Adaptive ER strategies are consistently linked to beneficial long-term outcomes and include strategies such as cognitive reappraisal or problem solving. Maladaptive strategies, on the other hand, are consistently associated with negative long-term outcomes and include strategies such as avoidance and rumination (Aldao et al., 2010). The ability to regulate one's emotions thus has clear implications for coping and reacting to adversity, which in turns has implications on mental health and well-being (Montreuil and Tilley, 2017).
Current Trends in Data Collection
Observational methods have commonly been used when examining the ER of youth given consistent concern that younger children have difficulty in reflecting on and reporting their emotions. Observational studies seek to address this concern by using trained raters to assess the child's ER in various tasks typically completed in a laboratory setting in which a negative emotion is induced (i.e., frustration). However, this then introduces concerns for generalizability since researchers rely on making these observations under controlled conditions that generally lack ecological validity (Cole et al., 2004).
To address this concern, researchers more typically rely on the use of questionnaires which are both cost-effective and easy to administer. Only the individual is truly able to assess and integrate a variety of information about their own emotional experiences (Adrian et al., 2011). However, again, concerns about the child's ability to reflect on and quantify their emotional experiences also apply to this methodology (Zeman et al., 2007). Many researchers also utilize multiple informants to assess children's ER such as parents and teachers given their increased emotional intelligence. Still, concerns regarding biases and other processes have been noted as having the potential to affect these raters' assessment (Fergusson et al., 1993), since multi-informants can also respond differently (Rabinowitz et al., 2018). Given these limitations, more objective approaches to data collection are becoming ever more common in ER research conducted with children. Event-related brain potentials (ERPs) recorded through electroencephalography (EEG) are best to estimate the neural processes elicited ensuing emotional processing (McLean et al., 2020).
Understanding Emotion Regulation Using EEG
An EEG is a test that measures brain activation through noninvasive procedures by picking up electrical signals produced by the brain's neurons. Brain activity produces electrical signals that are recorded using electrodes. These signals are detected and averaged over numerous trials of the same activity to create ERPs. Differential patterns in these electrical signals during both resting and induced emotional states have been successfully used to predict ER abilities in children, as well as to predict anxiety and other related mood disorders (e.g., McManis et al., 2002; Hannesdóttir et al., 2010). Further, there are certain brain activation responses that have been associated with emotional responding and ER [e.g., late positive potential (LPP)]. Thus, these patterns of brain activity are frequently investigated as predictors of mood disorders and thereby will serve as indicators of ER abilities (Thibodeau et al., 2006).
Neural Signature of Emotion regulation: Late Positive Potential
The LPP is an ERP which can be described as a slow, positive-going waveform that emerges around 200–300 ms after stimulus onset (Hajcak and Dennis, 2009; Hajcak et al., 2010; Kujawa et al., 2012). LPP reflects the processing of and attention facilitated to emotional stimuli such as distressing visual images versus more neutral stimuli (Schupp et al., 2004; Herbert et al., 2008). LPP has been suggested to be a useful tool in examining cognitive reappraisal (Hajcak and Niwuwenhuis, 2006; Foti and Hajcak, 2008; Hajcak et al., 2010; MacNamara et al., 2011). Reappraisal involves changing the emotion meaning and significance of an emotion-inducing stimulus (Gross and John, 2003; Ochsner and Gross, 2005; Foti and Hajcak, 2008). For example, before a person visits their sick pet at the veterinarian's office, they may focus on the idea that their pet is there to recover and is receiving necessary care in order to be healthy again. Through this reappraisal process, the negative emotions which would typically be associated with a negative appraisal of “going to see a sick pet” is lessened before the emotional stimulus is internalized as being negative. In adult samples, a number of researchers have shown that LPP amplitudes are reduced when participants are instructed to reappraise unpleasant stimuli (Foti and Hajcak, 2008; MacNamara et al., 2011). As such, relying on LPP for measuring ER in youth is promising as it serves as a more objective approach given that it reduces the influences of bias. However, there still remains many unanswered questions surrounding the generalizability of these results to youth populations.
Current Research Base: Reappraisal and LPP in Children
ERPs have been posited to be reliable and meaningful indices of ER in children (Dennis, 2010), and it has been more recently suggested that neural markers of childhood psychopathology could be used to help improve the therapeutic outcome by informing the improvement of diagnostic tools and development and validation of novel interventions (McLean et al., 2020). Taken together, the present review explored research findings relating to the evaluation of LPP as a suitable neural indicator of cognitive reappraisal in youth. A summary of the current research base is presented in Table 1. This brief review of literature yielded 10 articles from three unique countries and one review. The earliest published article on LPP and reappraisal in children was published in 2009, and the most recent was published in 2019. The majority of included articles were published after 2014. Included studies relied on similar study designs stemming from early works by Dennis and Hajcak (2009) and DeCicco et al. (2012). This included articles sampling a broad age range of children from preschool age through to age 15. The largest number of studies included children from early adolescence (age 8–12).
Table 1. Summary of the research base: reappraisal as measured by LPP in children and youth (in chronological order).
Across Development
Dennis and Hajcak (2009) suggested that the sensitivity of LPP to cognitive reappraisal undergoes a developmental shift. An upward trend in sensitivity of LPP modulation with age was also observed in the majority of articles, suggesting that the ability to use reappraisal may increase between ages 8 and 12 (DeCicco et al., 2012, 2014; Leventon and Bauer, 2016; Van Cauwenberge et al., 2017a,b; Liu et al., 2019). This shift has been consistently tied to the dependency of ER development on the maturation of executive functions with age as well as the development of cognitive changes such as those theorized by Piaget (1976). These processes may thus enhance the child's ability to exercise cognitive control, which is required for effective reappraisal (DeCicco et al., 2014).
Conversely, Hua et al. (2015) suggested that the common methodology shared among these studies may be the cause of lack of effects of reappraisal on LPP seen in younger children. Specifically, Hua et al. (2015) suggested that the 5–7-s-long guided interpretations used by many researchers may be too complex for young children. The children in these studies had to store long interpretations in their working memory, and as such, this may have impacted their ability to also reappraise the image that followed. To address this concern, Hua et al. (2015) simplified interpretations to be <2 s and four Chinese characters long. Through this approach, significant reductions in LPP modulations following reappraisal were found in preschoolers (4–5 years). Liu et al. (2019) also utilized shorter audio interpretations (4 s) and found similar reductions in LPPs in school-aged children (8–12 years).
Consequently, lack of effects in young children cannot be exclusively tied to methodological limitations. Even without any methodological adjustments, Myruski et al. (2019) found reappraisal-induced reductions in LPPs in children as young as 5 years old. Babkirk et al. (2015) separated their 5–7-year-old participants based on their LPP patterns (detailed below), finding that LPPs were smaller for reappraised stimuli compared to negatively appraised stimuli. Indeed, in other areas of ER research, children as young as 3 years old have been observed to be able to use a variety of strategies including cognitive reappraisal when frustrated (Stansbury and Sigman, 2000). Taken together, it is likely that preschoolers are able to use reappraisal to some degree to manipulate negative emotions. Yet, from the current research available, there remains much uncertainty regarding the developmental trends as evident in LPP.
Interindividual Variability
Interindividual variability in LPP amplitudes is a rising concern that was noted in two of the research studies scoped, such that some participants experienced smaller LPPs while others experienced larger LPPs during reappraisal when compared to the LPPs from negative interpretations (Babkirk et al., 2015; Van Cauwenberge et al., 2017a). This interindividual variability could be contributing to the lack of consistent main effects of reappraisal in LPP. Van Cauwenberge et al. (2017a) proposed that this variability may be related to a number of factors, one of which being age. Babkirk et al. (2015) addressed this variability directly by separating their participants based on their LPPs for reappraisal in relation to those for negative interpretations. Findings indicated that those who had smaller LPPs for reappraisal stories over negative stories showed smaller LPP amplitudes following reappraisal. These individual differences were suggested to be related to the role of social context in developmental trajectories of ER. It was hence suggested that some participants were able to reappraise in an unfamiliar lab setting, whereas others may have required a more ecologically relevant context to rely on reappraisal (Babkirk et al., 2015).
Regulation of Positive Stimuli
Experiencing positive emotions promotes one's well-being and mental health (Hu et al., 2014). As such, the upregulation of positive emotions is important to consider when examining ER holistically. To date, a single study has investigated reappraisal in children using LPP as a marker and found that LPP amplitudes were larger when 8–12-year-olds were guided to upregulate a pleasant image (Liu et al., 2019). However, few conclusions can be drawn from this one study, due to the consistent focus on the downregulation of negative stimuli within this field.
Relation to Traditional ER Measures
Only four studies examined the relation between LPP and traditional measures of ER in youth. Van Cauwenberge et al. (2017b) found that LPP modulation did not correlate with self-reported reappraisal. Van Cauwenberge et al. (2017a) found a positive correlation between the LPP and a self-reported measure of cognitive reappraisal; however, this was determined to be driven by outliers. Still, the results of Dennis and Hajcak (2009) and Babkirk et al. (2015) support a relationship between informant (maternal) reports, observations of ER, and LPP modulation. As such, there remains much uncertainty regarding how LPPs may translate to questionnaires or observed ER, compromising the validity of both LPPs and traditional ER measures as markers of reappraisal. As has been well validated in adult population studies, more studies are required to investigate how LPPs can be manipulated to measure ER processes in childhood (Hajcak et al., 2010).
Directions for Future Research
Most fundamentally, robust research in the area of ER in youth requires the implementation of rigorous methodology toward increased ecological validity of lab-directed reappraisal. In the scholarly articles screened for this brief review, reappraisal was provided by the experimenter (or through the parent) in all studies, making it difficult to infer that in fact children's own reappraisal capabilities were reflected through the reported LPPs. Rather, a more traditional methodology appears to explore how susceptible children are to the effects of induced or directed reappraisal. Further, several studies followed a paradigm not conducive to the definition of cognitive reappraisal as an antecedent-focused strategy as theorized by Gross (1998). Gross' (1998) definition of reappraisal specifies that this process occurs prior to the experience of emotion. Dennis and Hajcak (2009), Leventon and Bauer (2016), Van Cauwenberge et al. (2017a), and Van Cauwenberge et al. (2017b) all first presented their visual stimuli, followed by the audio interpretation, and then the stimuli were presented again. Given that these studies employed reappraisal after the emotional response was experienced, the results of these studies should be interpreted with caution given that they may have captured a response-focused regulatory attempt as opposed to the anticipated “reappraisal.” Future studies are encouraged to explore evaluation of children's own reappraisal capabilities by first teaching/coaching the child on how to reappraise independently before viewing unpleasant stimuli and then subsequently exploring how these amplitudes contrast with their self-reported reappraisal.
More recently, Myruski et al. (2019) had explored reappraisal using an increased ecological approach by having the child's parent present during the reappraisal task where they were sitting behind the child or guiding them through reappraisal by modeling. Children achieve successful ER partially through socialized regulation of emotion by caregivers, so methodology that neglects this influence may not be as ecologically relevant (Cabecinha-Alati et al., 2019, 2020; Myruski et al., 2019). Future studies are encouraged to explore how other social influences may impact reappraisal as evident in the LPP, such as the influence of a caregiver that provides encouraging or discouraging statements while the child engages in the reappraisal task.
Further, only one study from the extracted research base had investigated these emotional processes using special populations (ADHD; Van Cauwenberge et al., 2017a). LPP was found to be related to maternal reports of child anxiety (DeCicco et al., 2012) and broad symptoms of anxiety–depression (Dennis and Hajcak, 2009; DeCicco et al., 2014). Given the connection between ER and mental health, it is important to more directly examine LPP of youth with mental health challenges such as anxiety or depression. Through this, researchers may be able to detect patterns of LPP that may be indicative of mental health challenges or risks in youth. Considering this comprehensive approach to defining mental health, future studies should seek to gather LPPs of clinically anxious or depressed children and their counterparts in an effort to pinpoint these patterns.
Finally, given the scant research literature and inconsistency among results, replication and advancements in methodology are necessary to gather a more reliable understanding of LPP and reappraisal across ages, special populations, ethnicities, differing stimuli, etc. Future studies are especially encouraged to include younger samples given the widespread inconsistencies regarding LPP in this age group. Further, to attain a more holistic understanding of ER on a biophysiological level, researchers should continue to explore additional neural indicators, which may be indicative of reappraisal or other cognitive ER strategies. Through this, informed conclusions can be drawn regarding the biophysiological nature of ER across childhood, which in turn inform our broader understanding of childhood socio-emotional development.
Conclusion
In conclusion, the findings disseminated within this brief review generally support the notion that LPP is sensitive to directed cognitive reappraisal in children. However, there remains many unanswered questions regarding the suitability of the LPP as a neural marker of cognitive reappraisal in children, which can be tied to this small research base and lack of replicable studies, highlighting the need for longitudinal studies examining both EEG and observational data across multiple timepoints in childhood to determine directionality. Nonetheless, the studies included in this review provide a strong foundation from which future studies can build upon. These results highlight the necessity of continued development and replication of studies, in order to make reliable conclusions about the soundness of LPP in measuring reappraisal throughout various stages of development. Nevertheless, EEG has great potential to increase the scientific rigor of ER research and, in turn, is expected to be clinically useful in the detection of ER difficulties as well as validation of intervention program effectiveness. In turn, such findings would have great implications on the promotion of mental health and well-being of children and youth.
Author Contributions
All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.
Funding
TM: #86556 Internal Social Sciences and Humanities Development Grant. HK was supported by the Frederick Banting and Charles Best Canada Graduate Scholarship Masters Award.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
Adrian, M., Zeman, K., and Veits, G. (2011). Methodological implications of the affect revolution: a 35-year review of emotion regulation assessment in children. J. Exper. Child Psych. 110, 171–197. doi: 10.1016/j.jecp.2011.03.009
Aldao, A., Nolen-Hoeksema, S., and Schweizer, S. (2010). Emotion-regulation strategies across psychopathology: a meta-analytic review. Clinic. Psych. Rev. 30, 217–237. doi: 10.1016/j.cpr.2009.11.004
Babkirk, S., Rios, V., and Dennis, T. A. (2015). The late positive potential predicts emotion regulation strategy use in school-aged children concurrently and 2 years later. Dev. Sci. 18, 832–841. doi: 10.1111/desc.12258
Cabecinha-Alati, S., Langevin, R., Kern, A., and Montreuil, T. (2020). Pathways from childhood maltreatment to unsupportive emotion socialization: implications for children's emotional inhibition. J Fam. Violence. doi: 10.1007/s10896-020-00184-y
Cabecinha-Alati, S., O'Hara, G., Kennedy, H., and Montreuil, T. (2019). Parental emotion socialization and adult outcomes: the relationships between parental supportiveness, emotion regulation, and trait anxiety. J. Adult Dev. 27, 268–280. doi: 10.1007/s10804-019-09340-1
Chadda, R. K. (2018). Youth and mental health: challenges ahead. Indian J. Med. Res. 148, 359–361. doi: 10.4103/ijmr.IJMR_1585_18
Cole, P. M., Martin, S. E., and Dennis, T. A. (2004). Emotion regulation as a scientific construct: methodological challenges and directions for child development research. Child Dev. 75, 317–333. doi: 10.1111/j.1467-8624.2004.00673.x
Compas, B. E., Jaser, S. S., Bettis, A. H., Watson, K. H., Gruhn, M. A., Dunbar, J. P., et al. (2017). Coping, emotion regulation, and psychopathology in childhood and adolescence: a meta-analysis and narrative review. Psychol. Bullet. 143, 939–991. doi: 10.1037/bul0000110
Costello, E. J., Egger, H. L., and Angold, A. (2004). “Developmental epidemiology of anxiety disorders,” in Phobic Anxiety Disorders in Children and Adolescents. eds T.H. Ollendick and J.S. March (New York, NY: Oxford University Press), 334–380. doi: 10.1093/med:psych/9780195135947.003.0003
Daniel, S. K., Abdel-Baki, R., and Hall, G. B. (2020). The protective effect of emotion regulation on child and adolescent well-being. J. Child Fam. Stud. 29, 2010–2027. doi: 10.1007/s10826-020-01731-3
DeCicco, J. M., O'Toole, L. J., and Dennis, T. A. (2014). The late positive potential as a neural signature for cognitive reappraisal in children. Dev. Neuropsych. 39, 497–515. doi: 10.1080/87565641.2014.959171
DeCicco, J. M., Solomon, B., and Dennis, T. A. (2012). Neural correlates of cognitive reappraisal in children: an ERP study. Dev. Cog. Neurosci. 2, 70–80. doi: 10.1016/j.dcn.2011.05.009
Dennis, T. A., and Hajcak, G. (2009). The late positive potential: a neurophysiological marker for emotion regulation in children. J. Child Psych. Psychiatry Allied Discipl. 50, 1373–1383. doi: 10.1111/j.1469-7610.2009.02168.x
Dennis, T. A. (2010). Neurophysiological markers for child emotion regulation from the perspective of emotion-cognition integration: current directions and future challenges. Dev. Neuropsychol. 35, 212–230. doi: 10.1080/87565640903526579
Fergusson, D. M., Lynskey, M. T., and Horwood, L. J. (1993). The effect of maternal depression on maternal ratings of child behavior. J. Abnormal Child Psych. 21, 245–269. doi: 10.1007/BF00917534
Foti, D., and Hajcak, G. (2008). Deconstructing reappraisal: descriptions preceding arousing pictures modulate the subsequent neural response. J. Cog. Neurosci. 20, 977–988. doi: 10.1162/jocn.2008.20066
Garnefski, N., Kraaji, V., and Spinhoven, P. H. (2001). Negative life events, cognitive emotion regulation and emotional problems. Personal. Individ. Diff. 30, 1311–1327. doi: 10.1016/S0191-8869(00)00113-6
GBD (2017). Disease and Injury Incidence and Prevalence Collaborators. (2018). Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 392, 1789–1858. doi: 10.1016/S0140-6736(18)32279-7
Gross, J. J. (2001). Emotion regulation in adulthood: timing is everything. Curr. Direct. Psychol. Sci. 10, 214–219. doi: 10.1111/1467-8721.00152
Gross, J. J. (2002). Emotion regulation: affective, cognitive, and social consequences. Psychophysiology 39, 281–291. doi: 10.1017/S0048577201393198
Gross, J. J., and John, O. P. (2003). Individual differences in two emotion regulation processes: implications for affect, relationships, and well-being. J. Personality Social Psych. 85, 348–362. doi: 10.1037/0022-3514.85.2.348
Gross, J. J., and Muñoz, R. F. (1995). Emotion regulation and mental health. Clinic. Psych. Sci. Practice 2, 151–164. doi: 10.1111/j.1468-2850.1995.tb00036.x
Gross, J. J. (1998). The emerging field of emotion regulation: an integrative review. Rev. Gen. Psych. 2, 271–299. doi: 10.1037/1089-2680.2.3.271
Gross, J. J., Uusberg, H., and Uusberg, A. (2019). Mental illness and well-being: an affect regulation perspective. World Psychiatry 18, 130–139. doi: 10.1002/wps.20618
Hajcak, G., and Dennis, T. A. (2009). Brain potentials during affective picture processing in children. Bio. Psych. 80, 333–338. doi: 10.1016/j.biopsycho.2008.11.006
Hajcak, G., MacNamara, A., and Olvet, D. M. (2010). Event-related potentials, emotion, and emotion regulation: an integrative review. Dev. Neuropsychol. 35, 129–155. doi: 10.1080/87565640903526504
Hajcak, G., and Niwuwenhuis, S. (2006). Reappraisal modulates the electrocortical response to unpleasant pictures. Cog. Affect. Behav. Neurosci. 6, 291–297. doi: 10.3758/CABN.6.4.291
Hannesdóttir, D. K., Doxie, J., Bell, M. A., Ollendick, T. H., and Wolfe, C. D. (2010). A longitudinal study of emotion regulation and anxiety in middle childhood: associations with frontal EEG asymmetry in early childhood. Dev. Psychobio. 52, 197–204. doi: 10.1002/dev.20425
Harris, P. L., Johnson, C. N., Hutton, D., Andrews, G., and Cooke, T. (1989). Young children's theory of mind and emotion. Cog. Emo. 3, 379–400. doi: 10.1080/02699938908412713
Herbert, C., Junghofer, M., and Kissler, J. (2008). Event related potentials to emotional adjectives during reading. Psychophysio 45, 487–498. doi: 10.1111/j.1469-8986.2007.00638.x
Hu, T., Zhang, D., Wang, J., Mistry, R., Ran, G., and Wang, X. (2014). Relation between emotion regulation and mental health: a meta-analysis review. Psychol. Rep. 114, 341–362. doi: 10.2466/03.20.PR0.114k22w4
Hua, M., Zhuo, R. H., and Zhou, R. (2015). Cognitive reappraisal in preschoolers: neuropsychological evidence of emotion regulation from an ERP study. Dev. Neuropsych. 40, 279–290. doi: 10.1080/87565641.2015.1069827
John, O. P., and Gross, J. J. (2004). Healthy and unhealthy emotion regulation: personality processes, individual differences, and life span development. J. Personality 72, 1301–1334. doi: 10.1111/j.1467-6494.2004.00298.x
Kieling, C., Baker-Henningham, H., Belfer, M., Conti, G., Ertem, I., Omigbodun, O., et al. (2011). Child and adolescent mental health worldwide: evidence for action. Lancet 378, 1515–1525. doi: 10.1016/S0140-6736(11)60827-1
Kujawa, A., Weinberg, A., Hajcak, G., and Klein, D. N. (2012). Differentiating event-related potential components sensitive to emotion in middle childhood: evidence from temporal-spatial PCA. Dev. Psychobio. 55, 539–550. doi: 10.1002/dev.21058
Leventon, J. S., and Bauer, P. J. (2016). Emotion regulation during the encoding of emotional stimuli: effects on subsequent memory. J Exper. Child Psych. 142, 312–333. doi: 10.1016/j.jecp.2015.09.024
Liu, W., Liu, F., Chen, L., Jiang, Z., and Shang, J. (2019). Cognitive reappraisal in children: neuropsychological evidence of up-regulating positive emotion from an ERP study. Front. Psych. 10, 1–10. doi: 10.3389/fpsyg.2019.00147
MacNamara, A., Ochsner, K. N., and Hajcak, G. (2011). Previously reappraised: the lasting effect of description type on picture-elicited electrocortical activity. Social Cog. Affect. Neurosci. 6, 348–358. doi: 10.1093/scan/nsq053
Martini, R., Hilt, R., Marx, L., Chenven, M., Naylor, M., Sarvet, B., et al. (2012). Best Principles of Integration of Child Psychiatry Into the Pediatric Health Home. American Academy of Child and Adolescent Psychiatry. Available online at: https://www.aacap.org/App_Themes/AACAP/docs/clinical_practice_center/systems_of_care/best_principles_for_integration_of_child_psychiatry_into_the_pediatric_health_home_2012.pdf (accessed September 20, 2020).
McLean, M. A., Van den Bergh, B. R. H., Baart, M., Vroomen, J., and van den Heuvel, M. I. (2020). The late positive potential (LPP): a neural marker of internalizing problems in early childhood. Int. J. Psychophysiol. 155, 78–86. doi: 10.1016/j.ijpsycho.2020.06.005
McManis, M. H., Kagan, J., Snidman, N. C., and Woodward, S. A. (2002). EEG asymmetry, power, and temperament in children. Dev. Psychobio. 41, 169–177. doi: 10.1002/dev.10053
Montreuil, T., and Tilley, M. (2017). Health Minds Healthy Schools: Strategies and Activities for Happy and Successful Learners. Toronto, ON: Canadian Scholars' Press.
Myruski, S., Birk, S., Karasawa, M., Kamikubo, A., Kazama, M., Hirabayashi, H., et al. (2019). Neural signatures of child cognitive emotion regulation are bolstered by parental social regulation in two cultures. Soc. Cog. Affect. Neurosci. 14, 947–956. doi: 10.1093/scan/nsz070
Ochsner, K. N., and Gross, J. J. (2005). The cognitive control of emotion. Trends Cog. Sci. 9, 242–249. doi: 10.1016/j.tics.2005.03.010
OECD (2015). Skills for social progress: The power of social and emotional skills, OECD skills studies. Paris: OECD Publishing.
Patel, V., Flisher, A. J., Hetrick, S., and McGorry, P. (2007). Mental health of young people: a global public health challenge. Lancet 369, 1302–1313. doi: 10.1016/S0140-6736(07)60368-7
Piaget, J. (1976). “Piaget's theory,” in Piaget and His School eds B. Inhelder, H. H. Chipman, and C. Zwingmann (Berlin, Heidelberg: Springer), 11–23. doi: 10.1007/978-3-642-46323-5_2
Rabinowitz, N. C., Perbet, F., Song, H. F., Zhang, C., Eslami, A., and Botvinick, M. (2018). “Machine theory of mind,” in Proceedings of the 35th International Conference on Machine Learning. 80, 4218–4227. Available online at: http://proceedings.mlr.press/v80/rabinowitz18a.html
Saarni, C. (1999). The Guilford Series on Social and Emotional Development. The Development of Emotional Competence. Guilford Press.
Schäfer, J. O., Naumann, E., Holmes, E. A., Tuschen-Caffier, B., and Samson, A. C. (2017). Emotion regulation strategies in depressive and anxiety symptoms in youth: a meta-analytic review. J. Youth Adoles. 46, 261–276. doi: 10.1007/s10964-016-0585-0
Schupp, H. T., Junghöfer, M., Weike, A. I., and Hamm, A. O. (2004). The selective processing of briefly presented affective pictures: an ERP analysis. Psychophysio 41, 441–449. doi: 10.1111/j.1469-8986.2004.00174.x
Stansbury, K., and Sigman, M. (2000). Responses of preschoolers in two frustrating episodes: emergence of complex strategies for emotion regulation. J. Genetic Psych. 161, 182–202. doi: 10.1080/00221320009596705
Stansfeld, S. A., Clark, C., Rodgers, B., Caldwell, T., and Power, C. (2008). Childhood and adulthood socio-economic position and midlife depressive and anxiety disorders. Br. J. Psychiatry 192, 152–153. doi: 10.1192/bjp.bp.107.043208
Terwogt, M.M., and Stegge, H. (1995). “Children's understanding of the strategic control of negative emotions,” in Everyday Conceptions of Emotion, eds J.A., Russell, J.M. Fernández-Dols, A.S.R. Manstead, J.C. Wellenkamp (Dordrecht: Springer). p. 373–390. doi: 10.1007/978-94-015-8484-5_21
Thibodeau, R., Jorgenson, R. S., and Kim, S. (2006). Depression, anxiety, and resting frontal EEG asymmetry: a meta-analytic review. J. Abnormal Psych. 115, 715–729. doi: 10.1037/0021-843X.115.4.715
Thompson, R. A. (1991). Emotional regulation and emotional development. Ed. Psych. Rev. 3, 269–307. doi: 10.1007/BF01319934
Thompson, R. A. (1994). Emotion regulation: a theme in search of definition. Monogr. Soc. Res. Child Dev. 59, 25–52. doi: 10.1111/j.1540-5834.1994.tb01276.x
Van Cauwenberge, V., El Kaddouri, R., Hoppenbrouwers, K., and Wiersema, J. R. (2017a). To make a molehill out of a mountain: an ERP-study on cognitive reappraisal of negative pictures in children with and without ADHD. Clin. Neurophysio. 128, 529–537. doi: 10.1016/j.clinph.2017.01.008
Van Cauwenberge, V., Van Leeuwen, K., Hoppenbrouwers, K., and Wiersema, J. R. (2017b). Developmental changes in neural correlates of cognitive reappraisal: an ERP study using the late positive potential. Neuropsychologia 95, 94–100. doi: 10.1016/j.neuropsychologia.2016.12.015
Viner, R. M., Ozer, E. M., Denny, S., Marmot, M., Resnick, M., Fatusi, A., et al. (2012). Adolescence and the social determinants of health. Lancet 379, 1641–1652. doi: 10.1016/S0140-6736(12)60149-4
Waddell, C., Hua, J. M., Garland, O. M., Peters, R. D., and McEwan, K. (2007). Preventing mental disorders in children: a systematic review to inform policy-making. Can. J. Public Health 98, 166–173. doi: 10.1007/BF03403706
Waddell, C., McEwan, K., Shepherd, C. A., Offord, D. R., and Hua, J. M. (2005). A public health strategy to improve the mental health of Canadian children. Can J. Psychiatry 50, 226–233. doi: 10.1177/070674370505000406
Keywords: emotion regulation, cognitive reappraisal, electroencephalogram, late positive potential, child and youth mental health
Citation: Kennedy H and Montreuil TC (2021) The Late Positive Potential as a Reliable Neural Marker of Cognitive Reappraisal in Children and Youth: A Brief Review of the Research Literature. Front. Psychol. 11:608522. doi: 10.3389/fpsyg.2020.608522
Received: 21 September 2020; Accepted: 28 December 2020;
Published: 17 February 2021.
Edited by:
Łukasz Okruszek, Polish Academy of Sciences, PolandReviewed by:
Frauke Nees, Kiel University, GermanySeyed Mohammad Mahdi Moshirian Farahi, Carleton University, Canada
Copyright © 2021 Kennedy and Montreuil. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Tina C. Montreuil, dGluYS5tb250cmV1aWwmI3gwMDA0MDttY2dpbGwuY2E=
†These authors share first authorship