External Time Monitoring in Time-Based Prospective Memory: An Integrative Framework.

We propose a new integrative framework of external time monitoring in prospective memory (PM) tasks and its relation with performance. Starting from existing empirical regularities and our theoretical analysis, the framework predicts that external monitoring in PM tasks comprises a first stage of loose monitoring to keep track of the passage of time, and a subsequent stage of finer-grained monitoring, based on interval reduction, to meet the PM deadline. Following our framework, we predicted and observed in three different datasets (N = 375): (1) a marked increase in external monitoring frequency in the final part of the period of the PM task, well captured by a proportional rate exponential growth function; (2) a positive association between individual compliance with this monitoring pattern and PM performance; (3) a positive relation between monitoring frequency in the time window immediately preceding the PM deadline and PM performance at the individual level; and (4) good individual compliance with an interval reduction pattern in external monitoring, especially in the time window closer to the PM deadline. These results support the proposed integrative framework, which has the potential to foster future research on external monitoring in PM and in other fields of cognitive science.

Intention framing in time-based prospective memory.

Research on prospective memory has paid no attention to the way in which the intentions to be remembered are framed. In two studies on time-based prospective memory, participants had to remember multiple delayed intentions framed as time rules (i.e., respond every 7 min, every 10 min) or as a series of corresponding instances (i.e., respond at Times 7, 10, 14, 20, 21, 28, 30, etc.). We appraised the effects of intention framing on intention learning, intention representation, strategies used to set the upcoming intention, cognitive load (monitoring cost), and prospective memory performance. Study 1 involved three time rules and corresponding instances. The results showed that time rules are learned faster than corresponding instances and that intention frames shaped the way intentions were mentally represented. Furthermore, the rule frame was associated with a more cognitively demanding incremental planning strategy to establish the upcoming intention, whereas the instance frame promoted the serial recall of intentions. Study 2 replicated the results on representations and strategies with four time rules and corresponding sets of instances, and it showed better prospective memory performance following the instance frame than rule frame. Together, these studies show that two alternative ways of framing multiple delayed intentions in the same prospective memory task induce significant differences in the way intentions are represented, in the cognitive strategies used to set the upcoming intention, and in performance. Theoretical and applied implications of the results for the prospective memory field are discussed. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Randomized controlled trial on the efficacy of a multilevel non-pharmacologic intervention in older adults with subjective memory decline: design and baseline findings of the E.Mu.N.I. study.

BACKGROUND: Alzheimer's Disease (AD) is a multifactorial disorder driven by genetic and modifiable lifestyle risk factors. Lifestyle primary prevention initiatives may reduce the prevalence and incidence of dementia in older adults. OBJECTIVES: The E.Mu.N.I study is a randomized controlled trial investigating the effect of multilevel non-pharmacologic interventions on cognitive performances (primary outcome) and structural and vascular brain MRI markers (secondary outcome), as well as markers of brain functional connectivity change (exploratory outcome), in older adults with subjective memory decline (SMD). Here, we present the study design and the baseline features of the sample. METHODS: Cognitively intact older adults with SMD, enrolled between February 2016 and June 2017, were randomly assigned to one of the 3 interventions for 1 year: Active Control Intervention (ACI), i.e., educational lessons; Partial Intervention (PI), i.e., homotaurine administration (100 mg/die) and lessons on the Mediterranean diet; Multilevel Intervention (MI), i.e., PI plus computerized cognitive training and physical exercise training. RESULTS: One-hundred and twenty-eight eligible participants were enrolled (66% female; age: 68 ± 5 years). Eighty-two percent of the sample was composed of volunteers with SMD from the community. Participants were randomly allocated to the interventions as follows: ACI (N = 40), PI (N = 44), MI (N = 44). No significant differences among groups emerged on socio-demographic, clinical-neuropsychological variables and MRI markers at baseline. CONCLUSIONS: The outcomes obtained from the E.Mu.N.I. study will clarify the efficacy of multilevel non-pharmacologic interventions on cognitive and neuroimaging markers in SMD individuals. This is a crucial step forward for the development of cost-effective non-pharmacologic primary prevention initiatives for AD.