Evidence map›Paper›PMID 36212037›Full record

ArticleFrontiers in aging neuroscience2022

Cognitive and structural predictors of novel task learning, and contextual predictors of time series of daily task performance during the learning period.

Evan T Smith, Paulina Skolasinska, Shuo Qin, Andrew Sun, Paul Fishwick, Denise C Park, Chandramallika Basak

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Evan T SmithCenter for Vital Longevity, University of Texas at Dallas, Dallas, TX, United States.
Paulina SkolasinskaCenter for Vital Longevity, University of Texas at Dallas, Dallas, TX, United States.
Shuo QinCenter for Vital Longevity, University of Texas at Dallas, Dallas, TX, United States.
Andrew SunCenter for Vital Longevity, University of Texas at Dallas, Dallas, TX, United States.
Paul FishwickSchool of Arts and Technology, University of Texas at Dallas, Richardson, TX, United States.
Denise C ParkCenter for Vital Longevity, University of Texas at Dallas, Dallas, TX, United States.
Chandramallika BasakCenter for Vital Longevity, University of Texas at Dallas, Dallas, TX, United States.

Funding

Strategic Training to Optimize Neurocognitive Functions in Older AdultsR56AG060052 · NIA · UNIVERSITY OF TEXAS DALLAS · PI BASAK, CHANDRAMALLIKA · 2018 to 2018
$765k
NIA NIH HHS R56 AG060052
6 · The paper itself

Abstract

Investigation into methods of addressing cognitive loss exhibited later in life is of paramount importance to the field of cognitive aging. The field continues to make significant strides in designing efficacious cognitive interventions to mitigate cognitive decline, and the very act of learning a demanding task has been implicated as a potential mechanism of augmenting cognition in both the field of cognitive intervention and studies of cognitive reserve. The present study examines individual-level predictors of complex skill learning and day-to-day performance on a gamified working memory updating task, the BirdWatch Game, intended for use as a cognitive intervention tool in older adults. A measure of verbal episodic memory and the volume of a brain region involved in verbal working memory and cognitive control (the left inferior frontal gyrus) were identified as predictors of learning rates on the BirdWatch Game. These two neuro-cognitive measures were more predictive of learning when considered in conjunction than when considered separately, indicating a complementary effect. Additionally, auto-regressive time series forecasting analyses were able to identify meaningful daily predictors (that is, mood, stress, busyness, and hours of sleep) of performance-over-time on the BirdWatch Game in 50% of cases, with the specific pattern of contextual influences on performance being highly idiosyncratic between participants. These results highlight the specific contribution of language processing and cognitive control abilities to the learning of the novel task examined in this study, as well as the variability of subject-level influences on task performance during task learning.

Indexed as

agingcognitive traininggame intervention designgame learninggray matter volumetime-series analysis

Identifiers

PMID36212037
PMCPMC9540228

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.