Evidence map›Paper›PMID 36031055›Full record

ReviewAgeing research reviews2022

Unifying framework for cognitive training interventions in brain aging.

Adam Turnbull, Aaron Seitz, Duje Tadin, Feng Vankee Lin

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Ageing research reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

4 authors.

Adam TurnbullUniversity of Rochester, USA; Stanford University, USA.
Aaron SeitzUC-Riverside, USA.
Duje TadinUniversity of Rochester, USA.
Feng Vankee LinStanford University, USA. Electronic address: Vankee_lin@stanford.edu.

Funding

Targeting Autonomic Flexibility to Enhance Cognitive Training Outcomes in Older Adults with Mild Cognitive ImpairmentR01NR015452 · NINR · UNIVERSITY OF ROCHESTER · PI HEFFNER, KATHI L, LIN, FENG VANKEE · 2015 to 2024
$4.4M
Develop an ANS-based Personalized Cognitive Training for Mild Cognitive ImpairmentR33AG073356 · NIA · STANFORD UNIVERSITY · PI LIN, FENG VANKEE, TAPPARELLO, CRISTIANO · 2023 to 2025
$2.2M
Develop an ANS-based Personalized Cognitive Training for Mild Cognitive ImpairmentR21AG073356 · NIA · STANFORD UNIVERSITY · PI LIN, FENG VANKEE, TAPPARELLO, CRISTIANO · 2021 to 2023
$476k
Applying the Neuroeconomics Paradigm for the Assessment of Central Fatigability in the Aging PopulationR21AG053193 · NIA · UNIVERSITY OF ROCHESTER · PI LIN, FENG VANKEE · 2016 to 2017
$421k
NIA NIH HHS R21 AG053193NIA NIH HHS R21 AG073356NIA NIH HHS R33 AG073356NINR NIH HHS R01 NR015452
6 · The paper itself

Abstract

Cognitive training is a promising tool for slowing or preventing cognitive decline in older adults at-risk for dementia. Its success, however, has been limited by a lack of evidence showing that it reliably causes broad training effects: improvements in cognition across a range of domains that lead to real-world benefits. Here, we propose a framework for enhancing the effect of cognitive training interventions in brain aging. The focus is on (A) developing cognitive training task paradigms that are informed by population-level cognitive characteristics and pathophysiology, and (B) personalizing how these sets are presented to participants during training via feedback loops that aim to optimize "mismatch" between participant capacity and training demands using both adaptation and random variability. In this way, cognitive training can better alter whole-brain topology in a manner that supports broad training effects in the context of brain aging.

Indexed as

Cognition DisordersCognitive DysfunctionAgedAgingBrainCognitionHumansBrain agingBrain topologyBroad training effectNeuroplasticityPersonalization

Identifiers

PMID36031055
PMCPMC10681332

What OpenQuestion holds

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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.