Adolescent-specific memory effects: Evidence from working memory, immediate and 24-hour recognition memory performance in 8- to 30-year-olds

Working memory and long-term memory develop from childhood to adulthood, but the relationship between them is not fully understood, especially during adolescence. We investigated associations between n-back task performance and subsequent recognition memory in a community sample (8-30 years, n=150) using tasks from the Adolescent Brain Cognitive Development Study (ABCD Study®). We added a 24-hour delay condition to assess long-term memory and assessed ages that overlap with those to be assessed in the 10-year ABCD study. Overall working memory, immediate, and long-term recognition memory performance peaked during adolescence. Age effects in recognition memory varied by items (i.e., old targets and distractors and new items) and delay. For immediate recognition, accuracy was higher for new items and targets than distractors, with the highest accuracy for new items emerging by the mid-teens. For long-term recognition, adolescents were more accurate in identifying new items than children and adults and adolescents showed more long-term forgetting of distractors relative to targets. In contrast, adults showed similar accuracy for targets and distractors, while children showed long-term forgetting of both. The results suggest that working memory processes may facilitate long-term storage of task-relevant items over irrelevant items and may benefit the detection of novel information during adolescence.

Learning From (Test) Experience

To date there has been relatively little research within the domain of metamemory that examines how individuals monitor their performance during memory tests, and whether the outcome of such monitoring informs subsequent memory predictions for novel items. In the current study, we sought to determine whether spontaneous monitoring of test performance can in fact help individuals better appreciate their memory abilities, and in turn shape future judgments of learning (JOLs). Specifically, in two experiments we examined recognition memory for visual images across three study-test cycles, each of which contained novel images. We found that across cycles, participants’ JOLs did in fact increase, reflecting metacognitive sensitivity to near-perfect levels of recognition memory performance. This finding suggests that individuals can and do monitor their test performance in the absence of explicit feedback, and further underscores the important role that test experience can play in shaping metacognitive evaluations of learning and remembering.

Decomposing Parietal Memory Reactivation to Predict Consequences of Remembering

Memory retrieval can strengthen, but also distort memories. Parietal cortex is a candidate region involved in retrieval-induced memory changes as it reflects retrieval success and represents retrieved content. Here, we conducted an fMRI experiment to test whether different forms of parietal reactivation predict distinct consequences of retrieval. Subjects studied associations between words and pictures of faces, scenes, or objects, and then repeatedly retrieved half of the pictures, reporting the vividness of the retrieved pictures (“retrieval practice”). On the following day, subjects completed a recognition memory test for individual pictures. Critically, the test included lures highly similar to studied pictures. Behaviorally, retrieval practice increased both hit and false alarm (FA) rates to similar lures, confirming a causal influence of retrieval on subsequent memory. Using pattern similarity analyses, we measured two different levels of reactivation during retrieval practice: generic “category-level” reactivation and idiosyncratic “item-level” reactivation. Vivid remembering during retrieval practice was associated with stronger category- and item-level reactivation in parietal cortex. However, these measures differentially predicted subsequent recognition memory performance: whereas higher category-level reactivation tended to predict FAs to lures, item-level reactivation predicted correct rejections. These findings indicate that parietal reactivation can be decomposed to tease apart distinct consequences of memory retrieval.