Journal article
Incorporating motor preparation time transforms micro-offline gains into micro-offline losses
Journal of neurophysiology, Vol.136(2), pp.625-632
08/2026
DOI: 10.1152/jn.00181.2026
PMID: 42461591
Abstract
During explicit sequence learning (ESL), micro-offline gains (MOGS) occur during brief rest periods. MOGS are calculated as the difference in sequence speed between the first correct sequence of one trial and the last sequence of the preceding trial. To date, all studies evaluating MOGS have calculated sequence speed from the execution time that occurs between keypresses, but this approach ignores potential contributions from motor preparation which occur prior to the first keypress. Given that ESL relies on both pre-movement motor planning and subsequent motor execution, we hypothesized that ignoring motor preparation time neglects a critical component of skill acquisition, potentially misrepresenting the true magnitude of MOGS. To test this, we calculated MOGS with and without preparation time in thirty adults who performed an ESL task. The dataset used for this analysis was obtained as part of a larger study to evaluate the effects of pre-trial temporal predictability on ESL performance and learning by controlling the predictability of trial onset. Our results show that including preparation time flipped MOGS from positive to negative and significantly increased the positive correlation between early learning and a gold-standard ESL metric: the number of correct sequences performed. Our results suggest that preparation time should be incorporated into MOGS calculations and that excluding it overestimates micro-offline learning.
Details
- Title: Subtitle
- Incorporating motor preparation time transforms micro-offline gains into micro-offline losses
- Creators
- Nafiz Ishtiaque Ahmed - The University of Texas at AustinTharan Suresh - The University of Texas at AustinSara Hussain - University of IowaMichael Freedberg - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of neurophysiology, Vol.136(2), pp.625-632
- DOI
- 10.1152/jn.00181.2026
- PMID
- 42461591
- NLM abbreviation
- J Neurophysiol
- ISSN
- 1522-1598
- eISSN
- 1522-1598
- Publisher
- American Physiological Society
- Language
- English
- Electronic publication date
- 07/16/2026
- Date published
- 08/2026
- Academic Unit
- Neurology; Psychiatry; Health, Sport, and Human Physiology
- Record Identifier
- 9985183577602771
Metrics
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