Elucidating an implicit learning network in healthy adults during artificial grammar tasks

Implicit learning is the unconscious extraction of rules governing complex stimuli, measured through experiments such as artificial grammar tasks, and is directly related to natural language learning. While several theories address the underlying framework for implicit learning, few studies have shed light on a consensus neural network involved in implicit learning. The short-term goal of this thesis is to further elucidate the brain regions involved in implicit learning of linguistic stimuli. The long-range goal of this research program is to understand how implicit learning and the brain regions associated with it relate to language learning and treatment outcomes in individuals with aphasia. A coordinate-based meta-analysis of 25 studies using implicit language learning tasks was completed. Activation likelihood estimate (ALE) results show significant activation in the bilateral inferior frontal gyri, bilateral insula, left supplemental motor area, right precentral gyrus, right middle cingulate, right middle occipital gyrus, and right inferior parietal lobule. The inferior frontal gyrus is discussed as a general rule-processing and error detection mechanism, and other regional activations are discussed related to their involvement in a cognitive control network. Cognitive control may be seen as an underlying mechanism for successful implicit learning and may be clinically relevant as a target for language intervention to scaffold syntax comprehension

Improving language mapping in clinical fMRI through assessment of grammar.

IntroductionBrain surgery in the language dominant hemisphere remains challenging due to unintended post-surgical language deficits, despite using pre-surgical functional magnetic resonance (fMRI) and intraoperative cortical stimulation. Moreover, patients are often recommended not to undergo surgery if the accompanying risk to language appears to be too high. While standard fMRI language mapping protocols may have relatively good predictive value at the group level, they remain sub-optimal on an individual level. The standard tests used typically assess lexico-semantic aspects of language, and they do not accurately reflect the complexity of language either in comprehension or production at the sentence level. Among patients who had left hemisphere language dominance we assessed which tests are best at activating language areas in the brain.MethodWe compared grammar tests (items testing word order in actives and passives, wh-subject and object questions, relativized subject and object clauses and past tense marking) with standard tests (object naming, auditory and visual responsive naming), using pre-operative fMRI. Twenty-five surgical candidates (13 females) participated in this study. Sixteen patients presented with a brain tumor, and nine with epilepsy. All participants underwent two pre-operative fMRI protocols: one including CYCLE-N grammar tests (items testing word order in actives and passives, wh-subject and object questions, relativized subject and object clauses and past tense marking); and a second one with standard fMRI tests (object naming, auditory and visual responsive naming). fMRI activations during performance in both protocols were compared at the group level, as well as in individual candidates.ResultsThe grammar tests generated more volume of activation in the left hemisphere (left/right angular gyrus, right anterior/posterior superior temporal gyrus) and identified additional language regions not shown by the standard tests (e.g., left anterior/posterior supramarginal gyrus). The standard tests produced more activation in left BA 47. Ten participants had more robust activations in the left hemisphere in the grammar tests and two in the standard tests. The grammar tests also elicited substantial activations in the right hemisphere and thus turned out to be superior at identifying both right and left hemisphere contribution to language processing.ConclusionThe grammar tests may be an important addition to the standard pre-operative fMRI testing

Examining the effects of video game training on cortical recruitment of the attentional network

Presented as a poster at the Cognitive Neuroscience Society's annual meetingWe examined the effect of strategy on neural recruitment during video game-play. Fifty participants completed 30 hours of training under one of two training regimes: Fixed Emphasis Training (FET), in which participants practiced all the aspects of the Space Fortress (SF) game at once, or Hybrid Variable Priority Training (HVT), in which participants practiced while prioritizing selective aspects of game play at different times. After 30 hours of training, data indicated a significant advantage for the two training groups relative to a no-training control group. Following training, both groups showed reduced activation in cortical areas involved in attentional control, namely the dorsolateral prefrontal cortex, anterior cingulate cortex, and parietal cortices. The control group continued to show activation in these areas post-training, suggesting that the attentional demands of the task were not reduced for control participants but were reduced for trained participants. These data suggest that training reduced the attentional demands of SF, and this reduction was most evident in the HVT training group.Office of Naval ResearchNo embarg

Neural Bases of Cognitive Impairments in Post-Traumatic Stress Disorders : A Mini-Review of Functional Magnetic Resonance Imaging Findings

Introduction: Post-Traumatic Stress Disorder (PTSD) is often associated with impairments in emotional and cognitive domains. Contrarily to the emotional sphere, neural basis underpinnings to cognitive impairments are still not well known. Methods: We performed a bibliographic search on PUBMED of all the studies investigating the cognitive impairments in PTSD individuals. We considered only studies that applied cognitive tasks using a functional Magnetic Resonance Imaging technique. The inclusion criteria were met by nine studies. Results: Overall, PTSD individuals reported significant impairments in the dorsolateral prefrontal cortex, anterior cingulate cortex, inferior frontal gyrus, insula, inferior temporal cortex, supplement motor area, and Default Mode Network (DMN). Moreover, abnormal activity was reported in subcortical structures (e.g. hippocampus, amygdala, thalamus) and in the cerebellum. Limitations: Cognitive functioning was assessed using different cognitive tasks. Potential confounding factors such as age, sex, symptoms intensity, and comorbidities might have influenced the results. Conclusion: So far, the evidence reported that PTSD is characterized by cognitive impairments in several domains, such as attention, memory and autonomic arousal, which may be due to selective dysfunctions in brain regions that are part of cortical networks, the limbic system and DMN. However, further studies are needed in order to better assess the role of cognitive impairments in PTSD and to develop more targeted therapeutic approaches

Neural Dynamics of Learning and Performance of Fixed Sequences: Latency Pattern Reorganizations and the N-STREAMS Model

Fixed sequences performed from memory play a key role in human cultural behavior, especially in music and in rapid communication through speaking, handwriting, and typing. Upon first performance, fixed sequences are often produced slowly, but extensive practice leads to performance that is both fluid and as rapid as allowed by constraints inherent in the task or the performer. The experimental study of fixed sequence learning and production has generated a large database with some challenging findings, including practice-related reorganizations of temporal properties of performance. In this paper, we analyze this literature and identify a coherent set of robust experimental effects. Among these are both the sequence length effect on latency, a dependence of reaction time on sequence length, and practice-dependent lost of the lengths effect on latency. We then introduce a neural network architecture capable of explaining these effects. Called the NSTREAMS model, this multi-module architecture embodies the hypothesis that the brain uses several substrates for serial order representation and learning. The theory describes three such substrates and how learning autonomously modifies their interaction over the course of practice. A key feature of the architecture is the co-operation of a 'competitive queuing' performance mechanism with both fundamentally parallel ('priority-tagged') and fundamentally sequential ('chain-like') representations of serial order. A neurobiological interpretation of the architecture suggests how different parts of the brain divide the labor for serial learning and performance. Rhodes (1999) presents a complete mathematical model as implementation of the architecture, and reports successful simulations of the major experimental effects. It also highlights how the network mechanisms incorporated in the architecture compare and contrast with earlier substrates proposed for competitive queuing, priority tagging and response chaining.Defense Advanced Research Projects Agency and the Office of Naval Research (N00014-92-J-1309, N00014-93-1-1364, N00014-95-1-0409); National Institute of Health (RO1 DC02852

Contributions to the functional neuroanatomy of morphosyntactic processing in L2

Studies about bilingualism and second language acquisition (SLA) have a long tradition within linguistic and psycholinguistic research. With the global population becoming more and more multilingual and the recent proliferation of research in cognitive neuroscience, an increasing number of studies examining the way our brain is able to learn, represent, and handle more than one language at the same time are currently available. However, few attempts have been made to transpose psycholinguistic models of SLA into functional neuroanatomic models. An important problem that arises when pursuing this goal is partially due to the delay in the development of cognitive neuroscience of language compared to psycholinguistics. In general, neurolinguistic models focus on very broad and general questions about bilingualism, whereas psycholinguistic research is already at the stage of addressing more specific and fine-tuned questions. This Granularity Mismatch Problem (Poeppel & Embick, 2005) in the degree of zooming into this research topic is not exclusive of L2 research, but it is present in language research in general (Hauser & Bever, 2008). In either case, it often becomes difficult to put together the results from these different perspectives into one integrated model