Abstract:Dyslexic children do not suffer from a specific implicit sequence learning deficit. The slower RTs of the dyslexic children throughout the entire implicit sequence learning process are caused by their comorbid attention problems and overall slowness. A key finding of the present study is that, in contrast to what was assumed for a long time, implicit learning relies on attentional resources, perhaps even more than explicit learning does. (PsycINFO Database Record
“…In this study, we first examined how children with dyslexia performed on a sequential and a spatial implicit learning task compared to typical readers. We found no significant differences in learning rate on the sequential or spatial task in children with dyslexia and typical readers, in line with more recent literature (Schmalz, Altoè, & Mulatti, 2017;Staels & van den Broeck, 2017;Vakil et al, 2013). However, the standardized mean difference effect size of 0.33, 95% confidence interval [−0.06, 0.72], for the sequential implicit learning task, was in the same direction as in the meta-analysis by Lum et al (2013).…”
Section: Discussionsupporting
confidence: 90%
“…The authors found a mediumweighted effect size (.449) for the SRT task, but there was substantial heterogeneity between studylevel effect sizes (varying from −.710 to 1.172), and not all studies included in the meta-analysis found significant differences between participants with dyslexia and typical readers. This lack of a significant difference between participants with dyslexia and typical readers is also found in more recent implicit learning studies comparing adults (Henderson & Warmington, 2017) or children (Staels & van den Broeck, 2017;Vakil et al, 2013) with and without dyslexia.…”
supporting
confidence: 68%
“…Sequential implicit learning. A SRT task was used to measure sequential implicit learning (Staels & van den Broeck, 2017). The children sat in front of a laptop and rested their right-hand ring, middle, and index fingers on three keys on a QWERTY keyboard.…”
This study investigated in a longitudinal design how 74 Dutch children with dyslexia and 39 typically developing peers differed in sequential versus spatial implicit learning and overnight consolidation, and it examined whether implicit learning related to (pseudo)word reading development in Grades 5 and 6. The results showed that sequential, but not spatial, learning predicted growth in reading skills in children with and without dyslexia. Sequential implicit learning was also related to growth in pseudoword reading skills during an intervention in children with dyslexia, retrospectively. Furthermore, children with dyslexia had longer reaction times in general but did not differ from typical readers in how well or how quickly they learned either on an implicit learning task or in their overnight consolidation.
“…In this study, we first examined how children with dyslexia performed on a sequential and a spatial implicit learning task compared to typical readers. We found no significant differences in learning rate on the sequential or spatial task in children with dyslexia and typical readers, in line with more recent literature (Schmalz, Altoè, & Mulatti, 2017;Staels & van den Broeck, 2017;Vakil et al, 2013). However, the standardized mean difference effect size of 0.33, 95% confidence interval [−0.06, 0.72], for the sequential implicit learning task, was in the same direction as in the meta-analysis by Lum et al (2013).…”
Section: Discussionsupporting
confidence: 90%
“…The authors found a mediumweighted effect size (.449) for the SRT task, but there was substantial heterogeneity between studylevel effect sizes (varying from −.710 to 1.172), and not all studies included in the meta-analysis found significant differences between participants with dyslexia and typical readers. This lack of a significant difference between participants with dyslexia and typical readers is also found in more recent implicit learning studies comparing adults (Henderson & Warmington, 2017) or children (Staels & van den Broeck, 2017;Vakil et al, 2013) with and without dyslexia.…”
supporting
confidence: 68%
“…Sequential implicit learning. A SRT task was used to measure sequential implicit learning (Staels & van den Broeck, 2017). The children sat in front of a laptop and rested their right-hand ring, middle, and index fingers on three keys on a QWERTY keyboard.…”
This study investigated in a longitudinal design how 74 Dutch children with dyslexia and 39 typically developing peers differed in sequential versus spatial implicit learning and overnight consolidation, and it examined whether implicit learning related to (pseudo)word reading development in Grades 5 and 6. The results showed that sequential, but not spatial, learning predicted growth in reading skills in children with and without dyslexia. Sequential implicit learning was also related to growth in pseudoword reading skills during an intervention in children with dyslexia, retrospectively. Furthermore, children with dyslexia had longer reaction times in general but did not differ from typical readers in how well or how quickly they learned either on an implicit learning task or in their overnight consolidation.
“…Studying the P1 and N1 components in relation to the SRT task may provide new insights into the role of attention in implicit sequence learning. Indeed, the extent to which attentional processes are necessary for implicit learning have been an area of ongoing debate (Curran & Keele, 1993;Jiménez & Méndez, 1999;Staels & Van den Broeck, 2017).…”
Section: P1 and N1 Erp Components And Sequence Learning On The Srt mentioning
This study examined whether the P1, N1, and P3 ERP components would be sensitive to sequence learning effects on the serial reaction time task. On this task, participants implicitly learn a visuospatial sequence. Participants in this study were 35 healthy adults. Reaction time (RT) data revealed that, at the group level, participants learned the sequence. Specifically, RT became faster following repeated exposure to the visuospatial sequence and then slowed down in a control condition. Analyses of ERP data revealed no evidence for sequence learning effects for the N1 or P3 component. However, sequence learning effects were observed for the P1 component. Mean P1 amplitude mirrored the RT data. The analyses showed that P1 amplitude significantly decreased as participants were exposed to the sequence but then significantly increased in the control condition. This suggests that visuospatial sequence learning can modulate visual attention levels. Specifically, it seems that, as sequence knowledge is acquired, fewer demands are placed on visual attention resources.
“…Evidence has shown EEG + tDCS, fMRI+ tDCS, or fNIRS + tDCS can be used to monitor tDCS-induced changes of the neural activities involved in sustained attention (Miller et al, 2015), semantic processing (D'Mello et al, 2017), and spatial working memory (McKendrick et al, 2015), all of which have also been found to be impaired in the individuals with reading difficulties (Schulz et al, 2008; Pham and Hasson, 2014; Staels and Van den Broeck, 2017). As such, those neuroimaging methods can also be integrated into future tDCS-based reading interventions to detect the potential neural changes, which can be taken as an additional outcome measure.…”
Section: Adding Outcome Measures By Using Neuroimaging Methodsmentioning
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