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Mechanisms of training-related change in processing speed

Subtitle
A drift-diffusion model approach
Publication date
2023-08-18
Document type
Forschungsartikel
Author
Reinhartz, Alice
Strobach, Tilo
Jacobsen, Thomas 
Bastian, Claudia C. von
Organisational unit
Allgemeine und Biologische Psychologie 
DOI
10.5334/joc.310
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/16999
ISSN
2514-4820
Series or journal
Journal of cognition
Periodical volume
6
Periodical issue
1
Peer-reviewed
✅
Part of the university bibliography
✅
  • Additional Information
Keyword
Processing speed
Cognitive training
Drift-diffusion model
Abstract
Processing speed is a crucial ability that changes over the course of the lifespan. Training interventions on processing speed have shown promising effects and have been associated with improved cognitive functioning. While training-related changes in processing speed are often studied using reaction times (RTs) and error rates, these measures provide limited insight into the mechanisms underlying changes during training. The drift-diffusion model provides estimates of the cognitive processes underlying speeded decision tasks, such as the rate of evidence accumulation (drift rate), response strategies (boundary separation), as well as time for other processes such as stimulus encoding and motor response (non-decision time). In the current study, we analyzed existing data of an extensive multi-session training intervention (von Bastian & Oberauer, 2013) to disentangle changes in drift rate, boundary separation, and non-decision time during training of different speeded choice-RT tasks. During this training intervention, 30 participants performed 20 training sessions over the course of four weeks, completing three tasks each session: a face-matching, a pattern-matching, and a digit-matching task. Our results show that processing speed training increased drift rates throughout training. Boundary separation and non-decision time decreased mostly during the initial parts of training. This pattern of prolonged training-related changes in rate of evidence accumulation as well as early changes in response strategy and non-decision processes was observed across all three tasks. Future research should investigate how these training-related changes relate to improvements in cognitive functioning more broadly.
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Published version
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