Meinou H. de Vries

Electrical stimulation of broca's area enhances implicit learning of an artificial grammar

Artificial grammar learning constitutes a well-established model for the acquisition of grammatical knowledge in a natural setting. Previous neuroimaging studies demonstrated that Brocas area (left BA 44/45) is similarly activated by natural syntactic processing and artificial grammar learning. The current study was conducted to investigate the causal relationship between Brocas area and learning of an artificial grammar by means of transcranial direct current stimulation (tDCS). Thirty-eight healthy subjects participated in a between-subject design, with either anodal tDCS (20 min, 1 mA) or sham stimulation, over Brocas area during the acquisition of an artificial grammar. Performance during the acquisition phase, presented as a working memory task, was comparable between groups. In the subsequent classification task, detecting syntactic violations, and specifically, those where no cues to superficial similarity were available, improved significantly after anodal tDCS, resulting in an overall better performance. A control experiment where 10 subjects received anodal tDCS over an area unrelated to artificial grammar learning further supported the specificity of these effects to Brocas area. We conclude that Brocas area is specifically involved in rule-based knowledge, and here, in an improved ability to detect syntactic violations. The results cannot be explained by better tDCS-induced working memory performance during the acquisition phase. This is the first study that demonstrates that tDCS may facilitate acquisition of grammatical knowledge, a finding of potential interest for rehabilitation of aphasia.

White matter integrity in the vicinity of Broca's area predicts grammar learning success.

Humans differ substantially in their ability to implicitly extract structural regularities from experience, as required for learning the grammar of a language. The mechanisms underlying this fundamental inter-individual difference, which may determine initial success in language learning, are incompletely understood. Here, we use diffusion tensor magnetic resonance imaging (DTI) to determine white matter integrity around Brocas area, which is crucially involved in both natural and artificial language processing. Twelve young, right-handed individuals completed an artificial grammar learning task, and DTI of their brains were acquired. Inter-individual variability in performance correlated with white matter integrity (increasing fractional anisotropy (FA)) in fibres arising from Brocas area (left BA 44/45), but not from its right-hemispheric homologue. Variability in performance based on superficial familiarity did not show this association. Moreover, when Brocas area was used as a seed mask for probabilistic tractography, we found that mean FA values within the generated tracts was higher in subjects with better grammar learning. Our findings provide the first evidence that integrity of white matter fibre tracts arising from Brocas area is intimately linked with the ability to extract grammatical rules. The relevance of these findings for acquisition of a natural language has to be established in future studies.

Processing multiple non-adjacent dependencies: Evidence from sequence learning

Processing non-adjacent dependencies is considered to be one of the hallmarks of human language. Assuming that sequence-learning tasks provide a useful way to tap natural-language-processing mechanisms, we cross-modally combined serial reaction time and artificial-grammar learning paradigms to investigate the processing of multiple nested (A1A2A3B3B2B1) and crossed dependencies (A1A2A3B1B2B3), containing either three or two dependencies. Both reaction times and prediction errors highlighted problems with processing the middle dependency in nested structures (A1A2A3B3_B1), reminiscent of the ‘missing-verb effect’ observed in English and French, but not with crossed structures (A1A2A3B1_B3). Prior linguistic experience did not play a major role: native speakers of German and Dutch—which permit nested and crossed dependencies, respectively—showed a similar pattern of results for sequences with three dependencies. As for sequences with two dependencies, reaction times and prediction errors were similar for both nested and crossed dependencies. The results suggest that constraints on the processing of multiple non-adjacent dependencies are determined by the specific ordering of the non-adjacent dependencies (i.e. nested or crossed), as well as the number of non-adjacent dependencies to be resolved (i.e. two or three). Furthermore, these constraints may not be specific to language but instead derive from limitations on structured sequence learning.

Increasing dopamine levels in the brain improves feedback-based procedural learning in healthy participants: an artificial-grammar-learning experiment.

Recently, an increasing number of studies have suggested a role for the basal ganglia and related dopamine inputs in procedural learning, specifically when learning occurs through trial-by-trial feedback (Shohamy, Myers, Kalanithi, & Gluck. (2008). Basal ganglia and dopamine contributions to probabilistic category learning. Neuroscience and Biobehavioral Reviews, 32, 219-236). A necessary relationship has however only been demonstrated in patient studies. In the present study, we show for the first time that increasing dopamine levels in the brain improves the gradual acquisition of complex information in healthy participants. We implemented two artificial-grammar-learning tasks, one with and one without performance feedback. Learning was improved after levodopa intake for the feedback-based learning task only, suggesting that dopamine plays a specific role in trial-by-trial feedback-based learning. This provides promising directions for future studies on dopaminergic modulation of cognitive functioning.

Gender differences in mental simulation during sentence and word processing

Text comprehension requires readers to mentally simulate the described situation by reactivating previously acquired sensory and motor information from (episodic) memory. Drawing upon research demonstrating gender differences, favouring girls, in tasks involving episodic memory retrieval, the present study explores whether gender differences exist in mental simulation in children (Grades 4 to 6). In Experiment 1, 99 children performed a sentence–picture verification task measuring mental simulation at sentence level. In Experiment 2, 97 children completed a lexical decision task in which imageability of words was manipulated to measure mental simulation at word level. Only for girls we found faster reaction times for matching versus mismatching sentence–picture pairs (Experiment 1) and high-imageability versus low-imageability words (Experiment 2). The results suggest that girls construct more coherent and vivid mental simulations than boys and rely more heavily on these representations. The results emphasize the importance of including gender into reading comprehension research. [Correction added on 13 June 2016, after first online publication: The affiliation of author “Bjorn B. de Koning” was previously wrong and has been corrected in this current version.]

Does the Component Processes Task Assess Text-Based Inferences Important for Reading Comprehension? A Path Analysis in Primary School Children

Using a component processes task (CPT) that differentiates between higher-level cognitive processes of reading comprehension provides important advantages over commonly used general reading comprehension assessments. The present study contributes to further development of the CPT by evaluating the relative contributions of its components (text memory, text inferencing, and knowledge integration) and working memory to general reading comprehension within a single study using path analyses. Participants were 173 third- and fourth-grade children. As hypothesized, knowledge integration was the only component of the CPT that directly contributed to reading comprehension, indicating that the text-inferencing component did not assess inferential processes related to reading comprehension. Working memory was a significant predictor of reading comprehension over and above the component processes. Future research should focus on finding ways to ensure that the text-inferencing component taps into processes important for reading comprehension.