Evidence map›Paper›PMID 37817004›Full record

ArticleGeroScience2024

Practice makes imperfect: stronger implicit interference with practice in individuals at high risk of developing Alzheimer's disease.

Shao-Min Hung, Sara W Adams, Cathleen Molloy, Daw-An Wu, Shinsuke Shimojo, Xianghong Arakaki

Abstract read
In one paragraph

Article in GeroScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Shao-Min Hung *Waseda Institute for Advanced Study, Waseda University, Tokyo, Japan. smhung@aoni.waseda.jp.ORCID 0000-0002-8908-1497
Sara W Adams *Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID 0009-0008-7317-7065
Cathleen MolloyCognition and Brain Integration Laboratory, Department of Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, USA.
Daw-An WuBiology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID 0000-0003-4296-3369
Shinsuke ShimojoBiology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA. sshimojo@caltech.edu.ORCID 0000-0002-1290-5232
Xianghong ArakakiCognition and Brain Integration Laboratory, Department of Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, USA. xianghong.arakaki@hmri.org.

Funding

Cognitive challenge to reveal systemic neurophysiology biomarkers in pre-symptomatic Alzheimer’s diseaseR01AG063857 · NIA · HUNTINGTON MEDICAL RESEARCH INSTITUTES · PI ARAKAKI, XIANGHONG, KLONER, ROBERT A · 2021 to 2025
$3.8M
Cognitive challenge to reveal presymptomatic Alzheimer's diseaseR56AG063857 · NIA · HUNTINGTON MEDICAL RESEARCH INSTITUTES · PI ARAKAKI, XIANGHONG, HARRINGTON, MICHAEL GORDON · 2019 to 2019
$513k
NIA NIH HHS R01 AG063857
6 · The paper itself

Abstract

Early screening to determine patient risk of developing Alzheimer's will allow better interventions and planning but necessitates accessible methods such as behavioral biomarkers. Previously, we showed that cognitively healthy older individuals whose cerebrospinal fluid amyloid/tau ratio indicates high risk of cognitive decline experienced implicit interference during a high-effort task, signaling early changes in attention. To further investigate attention's effect on implicit interference, we analyzed two experiments completed sequentially by the same high- and low-risk individuals. We hypothesized that if attention modulates interference, practice would affect the influence of implicit distractors. Indeed, while both groups experienced a strong practice effect, the association between practice and interference effects diverged between groups: stronger practice effects correlated with more implicit interference in high-risk participants, but less interference in low-risk individuals. Furthermore, low-risk individuals showed a positive correlation between implicit interference and EEG low-range alpha event-related desynchronization when switching from high- to low-load tasks. This suggests that lower attention on the task was correlated with stronger interference, a typical phenomenon in the younger population. These results demonstrate how attention impacts implicit interference and highlight early differences in perception between high- and low-risk individuals.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAmyloid beta-PeptidesHumanstau ProteinsAmyloid beta-Peptidestau ProteinsAgingImplicit processingPracticePre-symptomatic Alzheimer’s disease

Identifiers

PMID37817004
PMCPMC10828369

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.