Musical perception and teaching-learning of French language-culture: Some acoustic and neuroscientific elements for the French music teacher

The musical nature of the sounds of a modern language emitted in the spoken mode, as well as their rhythmic and melodic combinations, exert a considerable "power" on teaching-learning: they provoke, in the learner, decisive auditory reactions, the variables of which are difficult to control, lead to more or less pleasant sensations, (in) understanding, interpretation, produce meaning. Musical perception is at the heart of successful teaching-learning. A language teacher is first and foremost a language music teacher. A French language-culture teacher is above all and always a French music teacher. Among the multidisciplinary relations of the discipline in which it is located, namely Didactology-didactics of the music of the French language-culture, are acoustics and cognitive neurosciences. Despite the extreme complexity of perceptual and neurological processes, turning to musical acoustics at first and then to musical neurosciences secondly makes it possible to recall and discover essential elements and data likely to be of interest to teaching practices.

Examining individual differences in language learning: a neurocognitive model of language aptitude

A common practice in the cognitive neurosciences is to investigate population-typical phenomena, treating individuals as equal except for a few outliers that are usually discarded from analyses or disappear on group-level patterns. Only few studies to date have captured the heterogeneity of language processing across individuals as so-called individual differences, fewer have explicitly researched language aptitude, which designates an individual’s ability for acquiring foreign languages. Existing studies show that, relative to average learners, very gifted language learners display different task-related patterns of functional activation and connectivity during linguistic tasks, and structural differences in white and grey matter morphology, and white matter connectivity. Despite growing interest in language aptitude, there is no recent comprehensive review, nor a theoretical model to date that includes the neural level. To fill this gap, we here review neuroscientific research on individual differences in language learning and language aptitude and present a first, preliminary neurocognitive model of language aptitude. We suggest that language aptitude could arise from an advantageous neuro-cognitive profile, which leads to high intrinsic motivation and proactive engagement in language learning activities. On the neural level, interindividual differences in the morphology of the bilateral auditory cortex constrain individual neural plasticity, as evident in the speed and efficiency of language learning. We suggest that language learning success is further dependent upon highly efficient auditorymotor connections (speech-motor networks) and the structural characteristics of dorsal and ventral fibre tracts during language learning.

Giving Up on Consciousness as the Ghost in the Machine

Consciousness as used here, refers to the private, subjective experience of being aware of our perceptions, thoughts, feelings, actions, memories (psychological contents) including the intimate experience of a unified self with the capacity to generate and control actions and psychological contents. This compelling, intuitive consciousness-centric account has, and continues to shape folk and scientific accounts of psychology and human behavior. Over the last 30 years, research from the cognitive neurosciences has challenged this intuitive social construct account when providing a neurocognitive architecture for a human psychology. Growing evidence suggests that the executive functions typically attributed to the experience of consciousness are carried out competently, backstage and outside subjective awareness by a myriad of fast, efficient non-conscious brain systems. While it remains unclear how and where the experience of consciousness is generated in the brain, we suggested that the traditional intuitive explanation that consciousness is causally efficacious is wrong-headed when providing a cognitive neuroscientific account of human psychology. Notwithstanding the compelling 1st-person experience (inside view) that convinces us that subjective awareness is the mental curator of our actions and thoughts, we argue that the best framework for building a scientific account is to be consistent with the biophysical causal dependency of prior neural processes. From a 3rd person perspective, (outside view), we propose that subjective awareness lacking causal influence, is (no more) than our experience of being aware, our awareness of our psychological content, knowing that we are aware, and the belief that that such experiences are evidence of an agentive capacity shared by others. While the human mind can be described as comprising both conscious and nonconscious aspects, both ultimately depend on neural process in the brain. In arguing for the counter-intuitive epiphenomenal perspective, we suggest that a scientific approach considers all mental aspects of mind including consciousness in terms of their underlying, preceding (causal) biological changes, in the realization that most brain processes are not accompanied by any discernible change in subjective awareness.

Protect Others to Protect Myself: A Weakness of Western Countries in the Face of Current and Future Pandemics? Psychological and Neuroscientific Perspectives

The COVID-19 pandemic has generated a large number of publications in the medical and biological fields concerning the virus and its treatments, as well as in psychology, social sciences, and data sciences with regard to the spread of the virus. Surprisingly, far fewer neuroscientific articles have been published in this field of research and one might well ask whether the cognitive neurosciences have anything to say at all about this vital topic. In this article, we highlight a research perspective relating to differences in the individual perception of the pandemic in Western compared to Eastern countries. Although this problem is complex, multifaceted and subsumes many other social variables, we suggest that the cognitive neurosciences do have important and fundamental insights to contribute concerning the collective response observed within these populations. More precisely, we propose the hypothesis that differences in the propensity to adopt a holistic perception of contamination processes at the group level, involving brain structures that are also associated with perspective-taking and empathy such as, in particular, the medial prefrontal cortex (MPFC) and the anterior cingulate cortex (ACC), could help explain the differences in the perception of the pandemic observed between Western and Eastern countries.

Progress in Clinical Neurosciences, Cognitive Neurosciences, Clinical Psychology, Neurotechnology and Brain Mapping in Malaysia

Last year, there was an increase in the amount of manpower in Malaysia, especially in terms of the numbers of neurosurgeons, cognitive neuroscientists and clinical psychologists. One way to increase the number of cognitive neurotechnologists in the country in 2021 is to allow neuroscientists to register as neurotechnologists with the Malaysian Board of Technologists (MBOT). The Malaysian Brain Mapping project has risen from its humble beginnings as an initiative of the Universiti Sains Malaysia Brain Mapping Group in 2017. There is currently a proposal for its entry into the national arena via the Precision Medicine Initiative with the Academy Science Malaysia, the Ministry of Science, Technology and Innovation, Ministry of Higher Education and Ministry of Health. The current Malaysian Government’s Science, Technology, Innovation and Economy (STIE) plan was launched in 2020, leading to the establishment of neurotechnology as one of 10 STIE drivers.

What If We Look at the Body? An Embodied Perspective of Collaborative Learning

The bodily experiences and implications of understanding the functioning of the human brain–body mechanism has been a center of attention in the field of cognitive neurosciences for over two decades. Research in this field has enlarged the theories of learning and development, and contributed to changes in educational practices involving language processing, mathematics, and spatial thinking; however, these changes have not yet been applied to the analysis of transversal competencies such as collaborative learning. The aim of this paper is to bridge the theoretical and applied advances in the field of embodied cognition, specifically collaborative learning. The definitions, theoretical frameworks, and current methodological approaches in the field of collaborative learning are reviewed, with a particular focus on those studies that have investigated interactive dynamics in collaborative situations. The need to take the field further by exploring the theoretical perspective of embodied cognition as a possibility that can open the field is also presented. The relevance of investigating learning in groups by analyzing bodily engagements and intersubjectivity is demonstrated and methodological considerations are raised.

The Importance of Music Education in the Development and Performance of Executive Functions

In recent years, music education in Ibero-America has been losing ground within the school environment in favor of the development of curricular systems that benefit academic results in standardized tests. Despite this, several studies in the field of cognitive neurosciences have found evidence of great relevance and in which it can be observed how music education can favor cognitive development and performance in practically all stages of human development, with important results in language tasks, attention, and executive functions such as planning, inhibition, cognitive flexibility and working memory.

Assessing the degree of ecological validity of your study: Introducing the Ecological Validity Assessment (EVA) Tool

In cognitive neurosciences, fundamental principles of mental processes and functional brain organization have been established with highly controlled tasks and testing environments. Recent technical advances allowed to investigate those functions and their brain mechanisms in naturalistic settings. The diversity in those approaches has been recently (Matusz et al. 2019a) classified via a three-stage cycle including controlled laboratory, partially naturalistic laboratory, and naturalistic real-world research. Based on this cycle, we developed the Ecological Validity Assessment (EVA) tool to inform in an easy manner about the approach researchers have taken in their study. It enables objectively describing the study’s degree of ecological validity and its location on the cycle. EVA comprises eleven questions concerning study’s characteristics. It outputs a summary of those and a compass plot, which can be used for presentations, pre-registration, grant proposals, and papers. It would improve drawing conclusions across studies, and raising awareness for the generalizability of studies.

Human Cognitive Neuroscience as It Is Taught

Cognitive neuroscience increasingly relies on complex data analysis methods. Researchers in this field come from highly diverse scientific backgrounds, such as psychology, engineering, and medicine. This poses challenges with respect to acquisition of appropriate scientific computing and data analysis skills, as well as communication among researchers with different knowledge and skills sets. Are researchers in cognitive neuroscience adequately equipped to address these challenges? Here, we present evidence from an online survey of methods skills. Respondents (n = 307) mainly comprised students and post-doctoral researchers working in the cognitive neurosciences. Multiple choice questions addressed a variety of basic and fundamental aspects of neuroimaging data analysis, such as signal analysis, linear algebra, and statistics. We analyzed performance with respect to the following factors: undergraduate degree (grouped into Psychology, Methods, and Biology), current researcher status (undergraduate student, PhD student, and post-doctoral researcher), gender, and self-rated expertise levels. Overall accuracy was 72%. Not surprisingly, the Methods group performed best (87%), followed by Biology (73%) and Psychology (66%). Accuracy increased from undergraduate (59%) to PhD (74%) level, but not from PhD to post-doctoral (74%) level. The difference in performance for the Methods vs. non-methods (Psychology/Biology) groups was especially striking for questions related to signal analysis and linear algebra, two areas particularly relevant to neuroimaging research. Self-rated methods expertise was not strongly predictive of performance. The majority of respondents (93%) indicated they would like to receive at least some additional training on the topics covered in this survey. In conclusion, methods skills among junior researchers in cognitive neuroscience can be improved, researchers are aware of this, and there is strong demand for more skills-oriented training opportunities. We hope that this survey will provide an empirical basis for the development of bespoke skills-oriented training programs in cognitive neuroscience institutions. We will provide practical suggestions on how to achieve this.