New Discovery Neuroscience and Psychology Published: September 16, 2015

Oops – That was a Mistake! How Toddler Brains React to Feedback

Abstract

Oops, I just clicked on the wrong button on my computer (mistake) and it made this error sound that you might know. This is an example of feedback. Feedback is useful information to indicate if something was correct or wrong and we can use feedback to improve something. For example, I do not want to make the same mistake again, so now, I click on the right button! This is called feedback learning. You often get feedback on what you are doing and sometimes that feedback tells your brain “Oops, that was a mistake!” From such feedback, you can learn and do things better the next time. Learning from feedback is, especially, important early in life when young children still need to learn a lot about the world. Interestingly, the brain regions that generate the feedback signal, however, take a long time to fully develop. Sometimes, they do not completely develop even until the late teenage years. How then do young children (also called toddlers) between the ages of one and three process the feedback signal in their brain? And how do they learn based on the feedback they get? These were some of the questions that we wanted to answer.

Tony was late for the game. He put on his socks in a hurry and was about to quickly put on his shoes and leave. He picked up a shoe and looked at his feet and he realized, “Oops! My socks don’t match.” Then he changed the white sock to the matching blue sock, slipped into his shoes and off he went. Like Tony, I mix up my socks by mistake, too. Don’t you sometimes? When you put on your socks and look at them, your eyes see them and tell your brain what they see. Then the brain, when seeing socks that do not match, might think “Oops! Made a mistake.” So your brain is using helpful information to indicate if what you just did was correct or wrong and whether to improve something. This sort of information is called feedback. Next time you pick up the second sock, you know to check if they match before putting them on (feedback-based learning). You learn from the feedback that you received from your earlier experience. That feedback can happen in many different ways, including the grade you get on your test at school or the sound you hear and the broken glass you see when you accidentally drop a glass of milk. You can learn from all kinds of feedback, but how does this learning from feedback actually happen? Also, as you might know if you have a little brother or sister, learning from feedback is especially important early in life when children still need to learn a lot about the world. So, we were curious to know how toddlers (young children) process feedback and learn from it.

From experiments done with adults, we have known for a while that there are different brain signals when the feedback says “Correct” compared to the feedback that says “Oops! Made a mistake” [1]. Before telling you more about it, we will explain how you can measure such brain responses:

Your brain does anything and everything that it does by passing very, very, very tiny bits of electricity between different brain cells called neurons. This electricity allows the neurons to communicate with each other and send information across the brain. Neuroscientists, the people who study brains, know how to measure these tiny currents using a technique called electroencephalography (Electro-En-ce-pha-lo-Gra-phy), usually shortened to EEG. They take a lot of extremely sensitive wires, called electrodes, and arrange them on a cap. The neuroscientists can see and measure the tiny brain signals, which look like what is shown in Figure 1A, when the cap is placed on a person’s head, as in Figure 1B. This helps the neuroscientists observe the changes happening to your brain signals when you get feedback.

Figure 1 - (A) This is what an EEG brain signal could look like. (B) Picture of a toddler wearing an EEG cap. (C) If you imagine splitting a brain into two halves, much like a peanut, it is the inside part of one half that you see here. Anterior cingulate cortex (ACC) and medial frontal cortex (MFC) are in color. These are some of the regions that develop during the teenage years. Figure (C) adapted from DrOONeil http://commons.wikimedia.org/wiki/File:FMRI_Brain_Scan.jpg
  • Figure 1 - (A) This is what an EEG brain signal could look like. (B) Picture of a toddler wearing an EEG cap. (C) If you imagine splitting a brain into two halves, much like a peanut, it is the inside part of one half that you see here. Anterior cingulate cortex (ACC) and medial frontal cortex (MFC) are in color. These are some of the regions that develop during the teenage years. Figure (C) adapted from DrOONeil http://commons.wikimedia.org/wiki/File:FMRI_Brain_Scan.jpg

From the experiments with adults that we mentioned earlier, it was found that the brain generates a specific signal for feedback, called feedback-related negativity (FRN). We also know that the brain regions generating this signal, called the anterior cingulate cortex (ACC) and the medial frontal cortex (MFC), take a long time to completely develop. Figure 1C shows you that the ACC and MFC are in the middle and at the front of the brain. Sometimes, they do not completely develop even until teenage years [2]!

How then do toddlers as young as 2½ years of age, whose ACCs and MFCs are not fully developed, manage to create the feedback signal in their brain and learn from feedback? How can toddlers learn how to plan their action the next time, based on the feedback that they receive? At what age do young children start showing the specific signal for feedback, the FRN response? How different or similar are a toddler’s brain signals compared with a grownup’s brain signals? These were some of the questions that we wanted to answer using the EEG technique.

The Game

In our experiment, we gave the toddlers a fun game with animal cards to play on a touch screen similar to an iPad. The goal of the game was to find the animal card that matched the one shown in the middle of the screen. We had a lot of different animals so toddlers could play many rounds of the game.

One round could look like what is shown in Figure 2. After showing toddlers all the cards in the round (here two lions and a pig), the cards were mixed and we asked the toddlers “Where do you think the other (in this case) lion is?” When toddlers touched a card, the chosen card turned face-up and revealed its picture. Was it the matching card? Here we see that the first choice is the pig! Oops, that was a mistake. Do you recognize that this is the feedback that the toddler is getting? If we were to measure their brain responses, what do you expect to see? We expected an FRN-like brain response, similar to the feedback signal we know from adults.

Figure 2 - Example of one round of the game.
  • Figure 2 - Example of one round of the game.

Next, no matter whether their first choice was right or wrong, we asked the toddlers again “Do you now know where the lion is?” and the toddler could choose again. The important difference this time was that the correct card could be found easily because of the feedback toddlers had gotten before.

You probably know by now that the most important part of this experiment is when the chosen card turns after the toddler makes the first choice, acting as the first feedback for the toddler’s action. Now the fun part: this is what we found:

Game Scores

On average, about half of the time, the toddlers were able to give correct answers on the first choice in a round. This happens just by chance, like tossing a coin, and is expected because we designed the game such that the toddlers could not know the location of the correct card on the first turn – they had equal chances of getting the right or the wrong card. But on the second choice, they performed much better The toddlers were able to find the correct card significantly more often than they could just by chance.

Brain Signals

What we found was that, like adults, toddlers’ brain signals were different depending on the feedback they received (see Figure 3). They show a FRN-like brain response. That is, their brain signals for feedback that said “Correct” were different from the brain signals that said, “Oops! Made a mistake.” This difference in the brain signal took 0.35 s to reach its maximum value (also called its peak). This is a bit slow compared to a grownup’s signal, but this speed is quite common in very young children. Other studies involving babies and toddlers have shown that a peak in the signal occurs later than in adults because babies are just slower in processing all information. Also, similar to adults, these feedback signals were found near the same brain regions that generate the mistake-related signal in adults.

Figure 3 - Illustration of our results: the toddlers’ brain signals measured over areas known for feedback processing.
  • Figure 3 - Illustration of our results: the toddlers’ brain signals measured over areas known for feedback processing.

Before we continue, we would like to give you an example that hopefully makes it easier for you to understand the rest of the results. Imagine you play the same game for several days. Probably, the more days you play this game, the better you get at it. This concept is called positive correlation: As one thing increases (in this case the number of times you practice a game), the other increases too (for example, how good you are at the game).

Interestingly, our results showed a positive correlation between the game scores and the feedback signals from the brain. To understand what this means, take a look at two examples in Figure 4: toddler 1 and toddler 2. For toddler 1, the brain measurements were not very different for feedback that said “correct” and feedback that said “oops, mistake” (close to 0). You can imagine that if you do not really pick up the difference between being correct and wrong, that you might not be so good at the game. This was also the case for toddler 1. Now look at toddler 2. This toddler showed a much larger difference in brain signals between “correct” and “oops, mistake” feedback. And do you see the performance? Close to 100%, which is almost perfect. This creates the positive correlation: the better the brain picks up the difference between “correct” and “oops, mistake”, the better the toddler can perform at the game.

Figure 4 - The larger the difference in brain-signal peaks for correct and incorrect trials, the better was the performance in the game.
  • Figure 4 - The larger the difference in brain-signal peaks for correct and incorrect trials, the better was the performance in the game.

Why is this Important?

Before we did these experiments, we had very little idea how the brains of young children deal with feedback. Now we know that even when 2½-year-old toddlers receive feedback, they show similar brain signal patterns as adults. The brain signal appears slightly slower (about 0.1 s later than in adults), which is expected and may represent slightly slower processing in a toddler’s brain [3].

As mentioned above, the larger the difference between the toddlers’ brain signals for correct and incorrect feedback, the better the toddlers performed in the second turn. This shows that even a toddler brain takes steps to make sure that, whenever a mistake is made, it is corrected the next chance they get. But why do some toddlers show stronger brain signals in response to feedback when compared with other toddlers? Well, there could be several reasons for this:

  1. Remember we mentioned that some brain regions take a lot of time to develop? So in some toddlers who show larger differences, these brain regions might already be more developed than in others [4].
  2. Some toddlers who show weaker signals might just be less sensitive to feedback in general [5]. For these toddlers, socks have to be very, very different in order for them to see that they do not match.
  3. Or, it is possible that toddlers are sensitive to feedback, but might just not pay attention or might not be motivated to learn the game. We know from other studies that attention plays an important role in learning from feedback [1]. So, those toddlers who show lower feedback peaks might just not be interested in the task. They are able to play the game, but are not excited enough or paying enough attention to learn from the feedback they receive. To use the example of Tony and the socks, these toddlers are thinking about something else already and do not pay attention to their socks, so they do not realize that they are different colors.

However, more research is needed to fully understand all of the factors that affect these brain signals to help learning in general. But for now, to summarize, this study is the first of its kind to show that toddlers as young as 2½ years show a specific brain signal when they receive feedback, and that the larger the difference in the brain signals between correct and incorrect responses, the better they are at playing the game next time. So, the way the toddlers’ brains process the feedback influences their performance. But we still need to do more research to figure out exactly how this happens. Maybe you can help us find answers to these questions. Will you?

Original Source Article

Neural Correlates of Feedback Processing in Toddlers (Journal of Cognitive Neuroscience, 2014, http://www.mitpressjournals.org/doi/abs/10.1162/jocn_a_00560#.U_0saPmSx6B)

Glossary

EEG: Electro Encephalo Graphy (this comes from “encephalon” which means the “brain” and “graphein” which means “to write”) – a technique used to measure electrical brain signals

FRN: Feedback Related Negativity – this brain signal reaches its highest negative point, after getting the feedback for making a mistake

ACC: Anterior Cingulate Cortex – a brain area that is involved in processing feedback

MFC: Medial Frontal Cortex – the brain area that is in the middle, toward the front of your brain

PEAK: highest value the brain signal reaches


References

[1] Walsh, M. M., and Anderson, J. R. 2012. Learning from experience: event-related potential correlates of reward processing, neural adaptation, and behavioral choice. Neurosci. Biobehav. Rev. 36(8):1870–84. doi: 10.1016/j.neubiorev.2012.05.008

[2] Crone, E. A., Zanolie, K., Leijenhorst, L., Westenberg, P. M., and Rombouts, S. A. 2008. Neural mechanisms supporting flexible performance adjustment during development. Cogn. Affect Behav. Neurosci. 8(2):165–77. doi: 10.3758/CABN.8.2.165

[3] Csibra, G., Kushnerenko, E., and Grossmann, T. 2008. Electrophysiological methods in studying infant cognitive development. 2nd ed. In Handbook of developmental cognitive neuroscience, eds. C. A. Nelson and M. Luciana, (Cambridge, MA: MIT Press), 247–62.

[4] Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, A. C., et al. 2004. Dynamic mapping of human cortical development during childhood through early adulthood. Proc. Natl. Acad. Sci. U.S.A. 101(21):8174–9. doi: 10.1073/pnas.0402680101

[5] Santesso, D. L., Dzyundzyak, A., and Segalowitz, S. J. 2011. Age, sex and individual differences in punishment sensitivity: factors influencing the feedback-related negativity. Psychophysiology 48(11):1481–9. doi: 10.1111/j.1469-8986.2011.01229.x