Evidence map›Paper›PMID 39126346›Full record

ArticleHuman brain mapping2024

Brain activations elicited during task-switching generalize beyond the task: A partial least squares correlation approach to combine fMRI signals and cognition.

Paulina Skolasinska, Shuo Qin, Michelle Voss, Hyun Kyu Lee, Chandramallika Basak

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In one paragraph

Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

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

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4 · The record

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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

5 authors.

Paulina SkolasinskaCenter for Vital Longevity, Department of Psychology, The University of Texas at Dallas, Dallas, Texas, USA.
Shuo QinCenter for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Michelle VossDepartment of Psychological and Brain Sciences, University of Iowa, Iowa City, Iowa, USA.
Hyun Kyu LeePosit Science, San Francisco, California, USA.
Chandramallika BasakCenter for Vital Longevity, Department of Psychology, The University of Texas at Dallas, Dallas, Texas, USA.ORCID 0000-0002-0364-0324

Funding

Plasticity-based Adaptive Cognitive Remediation for Alzheimers Disease Phase IIR44AG047722 · NIA · POSIT SCIENCE CORPORATION · PI LEE, HYUN KYU · 2017 to 2025
$4.6M
Plasticity-based Adaptive Cognitive Remediation for Alzheimer DiseaseR43AG047722 · NIA · POSIT SCIENCE CORPORATION · PI LEE, HYUN KYU · 2014 to 2015
$698k
NIA NIH HHS R43 AG047722NIA NIH HHS R44 AG04772NIA NIH HHS R44 AG047722
6 · The paper itself

Abstract

An underlying hypothesis for broad transfer from cognitive training is that the regional brain signals engaged during the training task are related to the transfer tasks. However, it is unclear whether the brain activations elicited from a specific cognitive task can generalize to performance of other tasks, esp. in normal aging where cognitive training holds much promise. In this large dual-site functional magnetic resonance imaging (fMRI) study, we aimed to characterize the neurobehavioral correlates of task-switching in normal aging and examine whether the task-switching-related fMRI-blood-oxygen-level-dependent (BOLD) signals, engaged during varieties of cognitive control, generalize to other tasks of executive control and general cognition. We therefore used a hybrid blocked and event-related fMRI task-switching paradigm to investigate brain regions associated with multiple types of cognitive control on 129 non-demented older adults (65-85 years). This large dataset provided a unique opportunity for a data-driven partial least squares-correlation approach to investigate the generalizability of multiple fMRI-BOLD signals associated with task-switching costs to other tasks of executive control, general cognition, and demographic characteristics. While some fMRI signals generalized beyond the scanned task, others did not. Results indicate right middle frontal brain activation as detrimental to task-switching performance, whereas inferior frontal and caudate activations were related to faster processing speed during the fMRI task-switching, but activations of these regions did not predict performance on other tasks of executive control or general cognition. However, BOLD signals from the right lateral occipital cortex engaged during the fMRI task positively predicted performance on a working memory updating task, and BOLD signals from the left post-central gyrus that were disengaged during the fMRI task were related to slower processing speed in the task as well as to lower general cognition. Together, these results suggest generalizability of these BOLD signals beyond the scanned task. The findings also provided evidence for the general slowing hypothesis of aging as most variance in the data were explained by low processing speed and global low BOLD signal in older age. As processing speed shared variance with task-switching and other executive control tasks, it might be a possible basis of generalizability between these tasks. Additional results support the dedifferentiation hypothesis of brain aging, as right middle frontal activations predicted poorer task-switching performance. Overall, we observed that the BOLD signals related to the fMRI task not only generalize to the performance of other executive control tasks, but unique brain predictors of out-of-scanner performance can be identified.

Indexed as

BrainBrain MappingCognitionExecutive FunctionMagnetic Resonance ImagingAgedAged, 80 and overAgingFemaleHumansLeast-Squares AnalysisMaleNeuropsychological TestsOxygenOxygencognitive controldata‐drivenfMRImultivariate analysisolder adultstask‐switching

Identifiers

PMID39126346
PMCPMC11316247

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LicenceCC BY-NC-ND
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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.