Learning skills and developing habits rely on procedural memory, a cognitive system rooted in the basal ganglia (Ullman, 2004; Janacsek et al., 2019, 2022). After repeated exposure to contingencies in the environment, long-lasting procedural memories emerge (Kóbor et al., 2017; Tóth-Fáber et al.). These memory representations contribute to automatic behavior from early in life (Janacsek et al., 2012; Juhasz et al., 2019). Recent studies on procedural memory and its interaction with other cognitive systems brought a new understanding of how people with developmental disorders learn new skills and create habits (Ullman and Pullman, 2015; Conway, 2020; Takacs et al., 2021). Curiously, atypical striatal development has been linked both to impaired and enhanced procedural memory functions. In the current issue of Frontiers in Human Neuroscience, we aimed to take a closer look into potential sources of the heterogeneity in this field.
Specifically, two review articles addressed the issue of procedural memory-related heterogeneity in dyslexia (Singh and Conway) and Tourette Disorder (TD) (Farkas et al.) separately. While these reviews are independent of each other, they show remarkable similarities that may explain heterogeneous results in these fields. For instance, they emphasized task heterogeneity and age-related variability effects. Importantly, they both highlighted the relevance of the multi-component (Singh and Conway) or multi-process (Farkas et al.) nature of procedural memory in atypical development. Furthermore, they both argued that not only learning but also retention is elemental to understanding the complexity between procedural systems and atypical development. The empirical studies of the current Research Topics all reflected the points raised by Singh and Conway and Farkas et al..
First, Lukács et al. studied the specific nature and timing of learning in developmental language disorder (DLD). While children with DLD had intact performance in the acquisition of acoustic verbal and visual non-verbal probabilities, they showed impairment in the metacognitive aspects of learning. The difference between learning indices and metacognitive scores sheds light on the distinction between online and offline measures of procedural learning and memory, especially in a developmental context. Namely, in the study of Lukács et al.. the pattern of online and offline indices suggested that online testing might be more sensitive and valid than offline tasks in atypical development. Moreover, it was suggested that the combined use of them would provide more clarity in cases when either learning or related metacognitive processes might be impaired.
Second, Tóth-Fáber et al. demonstrated the usefulness of the multi-component approach in TD: children and adolescents with TD learnt probabilistic information comparably to their typically developing peers. However, the TD group did not acquire serial order-based regularity. Thus, statistical and rule-based learning as different components of procedural memory contributes distinctively to the cognitive development of TD. Crucially, the relevance of these findings was highlighted by a one-year follow-up.
Third, Blais et al. presented a study on procedural learning in Developmental Coordination Disorder and or Developmental Dyslexia. They suggested that learning is modulated by the nature of cues which then leads to different retention patterns. Thus, procedural learning was not impaired in general terms in either of the groups. However, a process-oriented approach that considers how the information was presented might provide more optimal learning conditions in atypical development.
In sum, the studies on this Research Topic showed that the diverse development of procedural memory across modalities as well as its relationship to other cognitive systems could contribute to the heterogeneity of atypical cognitive functioning developmental disorders. Furthermore, this selection of theoretical and empirical works suggested future directions in concert, with a particular emphasis on neurophysiological research on the atypical development of procedural memory. We are hopeful that readers both from basic and clinical research and practice will find the presented studies useful and inspiring. We would like to thank the work of our authors and reviewers.
Funding
AT was supported by the Deutsche Forschungsgemeinschaft (DFG TA 1616/2-1).
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References
1
ConwayC. M. (2020). How does the brain learn environmental structure? Ten core principles for understanding the neurocognitive mechanisms of statistical learning. Neurosci. Biobehav. Rev. 112, 279–299. 10.1016/j.neubiorev.2020.01.032
2
JanacsekK.EvansT. M.KissM.ShahL.BlumenfeldH.UllmanM. T. (2022). Subcortical cognition: the fruit below the rind. Ann. Rev. Neurosci.10.1146/annurev-neuro-110920-013544. [Epub ahead of print].
3
JanacsekK.FiserJ.NemethD. (2012). The best time to acquire new skills: age-related differences in implicit sequence learning across the human lifespan: implicit learning across human lifespan. Dev. Sci.15, 496–505. 10.1111/j.1467-7687.2012.01150.x
4
JanacsekK.ShattuckK. F.TagarelliK. M.LumJ. A. G.TurkeltaubP. E.UllmanM. T. (2019). Sequence learning in the human brain: a functional neuroanatomical meta-analysis of serial reaction time studies. Neuroimage207, 116387. 10.1016/j.neuroimage.2019.116387
5
JuhaszD.NemethD.JanacsekK. (2019). Is there more room to improve? The lifespan trajectory of procedural learning and its relationship to the between- and within-group differences in average response times. PLOS ONE14, e0215116. 10.1371/journal.pone.0215116
6
KóborA.JanacsekK.TakácsÁ.NemethD. (2017). Statistical learning leads to persistent memory: evidence for one-year consolidation. Sci. Rep.7, 760. 10.1038/s41598-017-00807-3
7
TakacsA.MünchauA.NemethD.RoessnerV.BesteC. (2021). Lower-level associations in Gilles de la Tourette syndrome: convergence between hyperbinding of stimulus and response features and procedural hyperfunctioning theories. Eur. J. Neurosci.54, 5143–5160. 10.1111/ejn.15366
8
UllmanM. T. (2004). Contributions of memory circuits to language: the declarative/procedural model. Cognition92, 231–270. 10.1016/j.cognition.2003.10.008
9
UllmanM. T.PullmanM. Y. (2015). A compensatory role for declarative memory in neurodevelopmental disorders. Neurosci. Biobehav. Rev.51, 205–222. 10.1016/j.neubiorev.2015.01.008
Summary
Keywords
procedural memory, statistical learning, tourette disorder, dyslexia, developmental coordination disorder, developmental language disorder, retention
Citation
Janacsek K, Takacs A and Tarnok Z (2022) Editorial: Atypical Development of Procedural Memory and Related Functions. Front. Hum. Neurosci. 16:957563. doi: 10.3389/fnhum.2022.957563
Received
31 May 2022
Accepted
07 June 2022
Published
22 June 2022
Volume
16 - 2022
Edited and reviewed by
Lutz Jäncke, University of Zurich, Switzerland
Updates
Copyright
© 2022 Janacsek, Takacs and Tarnok.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Adam Takacs adam.takacs@uniklinikum-dresden.de
†These authors have contributed equally to this work
This article was submitted to Cognitive Neuroscience, a section of the journal Frontiers in Human Neuroscience
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.