Literature DB >> 30883287

Independent Components of Neural Activation Associated with 100 Days of Cognitive Training.

Molly Simmonite1, Thad A Polk1.   

Abstract

Some cognitive training studies have reported working memory benefits that generalize beyond the trained tasks, whereas others have only found task-specific training effects. What brain networks are associated with general training effects, rather than task-specific effects? We investigated this question in the context of working memory training using the COGITO data set, a longitudinal project including behavioral assessments before and after 100 days of cognitive training in 101 younger (20-31 years) and 103 older (65-80 years) adults. Pre- and postassessments included verbal, numerical, and spatial measures of working memory. It was therefore possible to assess training effects on working memory at a general latent ability level. Previous analyses of these data found training-related improvements on this latent working memory factor in both young and old participants. fMRI data were collected from a subsample of participants (24 young and 15 old) during pre- and post-training sessions. We used independent component analysis to identify networks involved in a perceptual decision-making task performed in the scanner. We identified five task-positive components that were task-related: two frontal networks, a ventral visual network, a motor network, and a cerebellar network. Pre-training activity of the motor network predicted latent working memory performance before training. Additionally, activity in the motor network predicted training-related changes in working memory ability. These findings suggest activity in the motor network plays a role in task-independent working memory improvements and have implications for our understanding of working memory training and for the design and implementation of future training interventions.

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Year:  2019        PMID: 30883287     DOI: 10.1162/jocn_a_01396

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  2 in total

1.  Age differences in functional network reconfiguration with working memory training.

Authors:  Alexandru D Iordan; Kyle D Moored; Benjamin Katz; Katherine A Cooke; Martin Buschkuehl; Susanne M Jaeggi; Thad A Polk; Scott J Peltier; John Jonides; Patricia A Reuter-Lorenz
Journal:  Hum Brain Mapp       Date:  2021-02-03       Impact factor: 5.038

2.  Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity?

Authors:  Amelie Haugg; Ronald Sladky; Stavros Skouras; Amalia McDonald; Cameron Craddock; Matthias Kirschner; Marcus Herdener; Yury Koush; Marina Papoutsi; Jackob N Keynan; Talma Hendler; Kathrin Cohen Kadosh; Catharina Zich; Jeff MacInnes; R Alison Adcock; Kathryn Dickerson; Nan-Kuei Chen; Kymberly Young; Jerzy Bodurka; Shuxia Yao; Benjamin Becker; Tibor Auer; Renate Schweizer; Gustavo Pamplona; Kirsten Emmert; Sven Haller; Dimitri Van De Ville; Maria-Laura Blefari; Dong-Youl Kim; Jong-Hwan Lee; Theo Marins; Megumi Fukuda; Bettina Sorger; Tabea Kamp; Sook-Lei Liew; Ralf Veit; Maartje Spetter; Nikolaus Weiskopf; Frank Scharnowski
Journal:  Hum Brain Mapp       Date:  2020-07-30       Impact factor: 5.399

  2 in total

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