The neuroscience of translation

Target ◽  
2012 ◽  
Vol 24 (1) ◽  
pp. 83-102 ◽  
Author(s):  
Maria Tymoczko

The neurological mechanisms involved in translating and interpreting are one of the chief known unknowns in translation studies. Translation studies has explored many facets of the processes and products of translation and interpreting, ranging from the linguistic aspects to the textual aspects, from the politics of translation to implications from cognitive science, but little is known about the production and reception of translation at the level of the individual brain and the level of molecular biology.1 Much of this terra incognita will be explored and illuminated by neuroscience in the coming quarter century, and significant discoveries pertaining to language processing in translation will be made during the coming decade, linking observable behaviors at the macro level with knowledge of what happens in the production and reception of translation at the micro level of the neuron and the neuronal pathways of the brain. In the past two decades powerful new techniques for observing brain function in healthy living individuals have been devised. To a large extent neuroscience has become a rapidly developing field because of new technologies that make it possible to monitor the brain as it actually works, to document neural pathways, and even to track the activity of specific neurons. This article focuses on discoveries in neuroscience pertaining to perception, memory, and brain plasticity that have already achieved consensus in the field and that have durable implications for the ways we will think about translation in the future.

2019 ◽  
Vol 31 (4) ◽  
pp. 1005-1008
Author(s):  
Antonia Yaneva ◽  
Kristina Kilova ◽  
Teodora Dimcheva

As people age they tend to experience changes in cognitive function. Cognitive exercise can allow the brain to remain active and dynamic even at a later age. The promotion of successful cognitive aging is a topic of great importance and a challenge to public health considering the growth and the aging of the world population. This article discusses three concepts - the concept of successful cognitive aging, cognitive reserve and neuroplasticity, and their relationship to the overall cognitive functioning of the elderly. The concept of the cognitive reserve explains the discrepancy between the degree of brain damage and the way the individual responds. Cognitive reserve is based on current brain activity which is formed by the experiences and the activities throughout life. Cognitive reserve theory corresponds with the studies of brain plasticity in the elderly and the fact that cognitive interventions can be useful during aging. The concept of brain plasticity or neuroplasticity is the foundation of all brain exercises or games and relates to the changes in the neuronal organization that can lead to behavioral changes and the development of compensatory mechanisms in older people with cognitive dysfunction due to aging or brain pathology. The model of cognitive plasticity in elderly people proposed by Lövden argues that cognitive interventions are effective when there is a mismatch between the cognitive ability of the individual and the difficulty level of the cognitive task. According to the concepts presented in this article, successful cognitive aging can be achieved by the elderly. The brain can continue to adapt and develop new abilities throughout life. The ability of the brain to reorganize and create new roads is at the key of cognitive learning - an instrument that can be used by health professionals to complement and support the improvement of therapeutic approaches. Research has shown that systemic brain training can potentially lead to the improvement of a number of cognitive skills.


2019 ◽  
Author(s):  
Gigi Luk ◽  
Christos Pliatsikas

Recent advances in neuroimaging methods have led to a renewed interest in the brain correlates of language processing. Most intriguing is how experiences of language use relates to variation in brain structure and how brain structure predicts language acquisition. These two lines of inquiry have important implications on considering language use as an experience-dependent mechanism that induces brain plasticity. This paper focuses on the structural connectivity of the brain, as delivered by white matter, i.e. the collections of the axons of the brain neurons that provide connectivity between brain regions. Tract-Based Spatial Statistics (TBSS), a method commonly used in the field, will be presented in detail. Readers will be introduced to procedures for the extraction of indices of variation in WM structure such as fractional anisotropy. Furthermore, the role of individual differences in WM and changes in WM pertaining to bilingual experience and language processing will be used as examples to illustrate the applicability of this method.


2009 ◽  
Vol 68 (4) ◽  
pp. 408-415 ◽  
Author(s):  
M. J. Dauncey

Nutrition can affect the brain throughout the life cycle, with profound implications for mental health and degenerative disease. Many aspects of nutrition, from entire diets to specific nutrients, affect brain structure and function. The present short review focuses on recent insights into the role of nutrition in cognition and mental health and is divided into four main sections. First, the importance of nutritional balance and nutrient interactions to brain health are considered by reference to the Mediterranean diet, energy balance, fatty acids and trace elements. Many factors modulate the effects of nutrition on brain health and inconsistencies between studies can be explained in part by differences in early environment and genetic variability. Thus, these two factors are considered in the second and third parts of the present review. Finally, recent findings on mechanisms underlying the actions of nutrition on the brain are considered. These mechanisms involve changes in neurotrophic factors, neural pathways and brain plasticity. Advances in understanding the critical role of nutrition in brain health will help to fulfil the potential of nutrition to optimise brain function, prevent dysfunction and treat disease.


2003 ◽  
Vol 15 (4) ◽  
pp. 1017-1047 ◽  
Author(s):  
MONICA LUCIANA

The human brain is functionally altered through experience, a phenomenon known as plasticity. Relevant experiences may be negative, as in brain injury. Adult brain injury results in permanent impairment. However, it has been assumed that early injury leads to substantial functional recovery. Animal studies suggest several predictions regarding whether this principle generally holds true. These studies indicate that the timing of brain injury, relative to the expected course of neurodevelopment, impacts the extent of recovery. Injuries occurring during the period of cell migration are particularly detrimental. However, outcome must be assessed longitudinally because apparent recovery in childhood may reverse as the brain matures. Moreover, recovery of one function may come at the expense of others. Whether these findings characterize outcome following preterm birth is the focus of this review. Preterm birth is associated with high rates of neurodevelopmental disability, primarily due to hypoxic–ischemic events. Periventricular brain structures and white matter tracts are particularly vulnerable to damage. Through school age, preterm children exhibit diminished levels of global intellectual function, attention, memory, and reasoning skills relative to full-term peers. It is questionable whether these deficits persist. Because few studies have followed recent cohorts into young adulthood, it is argued that outcome cannot be reliably described based on the available literature. Moreover, important contributors to later development have been neglected, including both genetic and experiential factors. With improved assessment, it may be possible to develop interventions based on the individual child's constellation of genetic, biological, and sociodemographic risks.


Author(s):  
Isabella Sarto-Jackson

The human brain is equipped with physiological, neural, and cognitive capacities that enable it to respond flexibly to ever-changing natural and social conditions. This capacity of the brain to reorganize itself, called neuroplasticity, is particularly marked in childhood. The high malleability of the brain at this stage provides the basis for wide-ranging learning, but leaves it vulnerable to negative environmental and social factors. Neuroplastic events that occur in response to abusive or neglecting environments can strongly interfere with the adaptive shaping of neural pathways between the prefrontal cortex and the limbic system, compromising judgment and self-control. Traumatic experiences during development can also have other effects on brain plasticity that are mediated by epigenetic mechanisms, and these effects can impair the developing oxytocin system, adversely affecting attachment and bonding. Mature individuals seek out niches that match the internal mental structures shaped during their early years, and will even alter the environment to make it match the internal structures. In the case of those who suffered childhood abuse, this can lead to maltreatment of the next generation. Addressing the societal challenge of child abuse and maltreatment requires broad interdisciplinary endeavors, uniting neuroscientists and social education workers to break the vicious circle.


2014 ◽  
Vol 19 (5) ◽  
pp. 3-12
Author(s):  
Lorne Direnfeld ◽  
David B. Torrey ◽  
Jim Black ◽  
LuAnn Haley ◽  
Christopher R. Brigham

Abstract When an individual falls due to a nonwork-related episode of dizziness, hits their head and sustains injury, do workers’ compensation laws consider such injuries to be compensable? Bearing in mind that each state makes its own laws, the answer depends on what caused the loss of consciousness, and the second asks specifically what happened in the fall that caused the injury? The first question speaks to medical causation, which applies scientific analysis to determine the cause of the problem. The second question addresses legal causation: Under what factual circumstances are injuries of this type potentially covered under the law? Much nuance attends this analysis. The authors discuss idiopathic falls, which in this context means “unique to the individual” as opposed to “of unknown cause,” which is the familiar medical terminology. The article presents three detailed case studies that describe falls that had their genesis in episodes of loss of consciousness, followed by analyses by lawyer or judge authors who address the issue of compensability, including three scenarios from Arizona, California, and Pennsylvania. A medical (scientific) analysis must be thorough and must determine the facts regarding the fall and what occurred: Was the fall due to a fit (eg, a seizure with loss of consciousness attributable to anormal brain electrical activity) or a faint (eg, loss of consciousness attributable to a decrease in blood flow to the brain? The evaluator should be able to fully explain the basis for the conclusions, including references to current science.


2017 ◽  
Author(s):  
Sabrina Jaeger ◽  
Simone Fulle ◽  
Samo Turk

Inspired by natural language processing techniques we here introduce Mol2vec which is an unsupervised machine learning approach to learn vector representations of molecular substructures. Similarly, to the Word2vec models where vectors of closely related words are in close proximity in the vector space, Mol2vec learns vector representations of molecular substructures that are pointing in similar directions for chemically related substructures. Compounds can finally be encoded as vectors by summing up vectors of the individual substructures and, for instance, feed into supervised machine learning approaches to predict compound properties. The underlying substructure vector embeddings are obtained by training an unsupervised machine learning approach on a so-called corpus of compounds that consists of all available chemical matter. The resulting Mol2vec model is pre-trained once, yields dense vector representations and overcomes drawbacks of common compound feature representations such as sparseness and bit collisions. The prediction capabilities are demonstrated on several compound property and bioactivity data sets and compared with results obtained for Morgan fingerprints as reference compound representation. Mol2vec can be easily combined with ProtVec, which employs the same Word2vec concept on protein sequences, resulting in a proteochemometric approach that is alignment independent and can be thus also easily used for proteins with low sequence similarities.


2020 ◽  
Vol 19 (9) ◽  
pp. 676-690 ◽  
Author(s):  
Roma Ghai ◽  
Kandasamy Nagarajan ◽  
Meenakshi Arora ◽  
Parul Grover ◽  
Nazakat Ali ◽  
...  

Alzheimer’s Disease (AD) is a chronic, devastating dysfunction of neurons in the brain leading to dementia. It mainly arises due to neuronal injury in the cerebral cortex and hippocampus area of the brain and is clinically manifested as a progressive mental failure, disordered cognitive functions, personality changes, reduced verbal fluency and impairment of speech. The pathology behind AD is the formation of intraneuronal fibrillary tangles, deposition of amyloid plaque and decline in choline acetyltransferase and loss of cholinergic neurons. Tragically, the disease cannot be cured, but its progression can be halted. Various cholinesterase inhibitors available in the market like Tacrine, Donepezil, Galantamine, Rivastigmine, etc. are being used to manage the symptoms of Alzheimer’s disease. The paper’s objective is to throw light not only on the cellular/genetic basis of the disease, but also on the current trends and various strategies of treatment including the use of phytopharmaceuticals and nutraceuticals. Enormous literature survey was conducted and published articles of PubMed, Scifinder, Google Scholar, Clinical Trials.org and Alzheimer Association reports were studied intensively to consolidate the information on the strategies available to combat Alzheimer’s disease. Currently, several strategies are being investigated for the treatment of Alzheimer’s disease. Immunotherapies targeting amyloid-beta plaques, tau protein and neural pathways are undergoing clinical trials. Moreover, antisense oligonucleotide methodologies are being approached as therapies for its management. Phytopharmaceuticals and nutraceuticals are also gaining attention in overcoming the symptoms related to AD. The present review article concludes that novel and traditional therapies simultaneously promise future hope for AD treatment.


Author(s):  
Riitta Salmelin ◽  
Jan Kujala ◽  
Mia Liljeström

When seeking to uncover the brain correlates of language processing, timing and location are of the essence. Magnetoencephalography (MEG) offers them both, with the highest sensitivity to cortical activity. MEG has shown its worth in revealing cortical dynamics of reading, speech perception, and speech production in adults and children, in unimpaired language processing as well as developmental and acquired language disorders. The MEG signals, once recorded, provide an extensive selection of measures for examination of neural processing. Like all other neuroimaging tools, MEG has its own strengths and limitations of which the user should be aware in order to make the best possible use of this powerful method and to generate meaningful and reliable scientific data. This chapter reviews MEG methodology and how MEG has been used to study the cortical dynamics of language.


2021 ◽  
pp. 1-13
Author(s):  
Lamiae Benhayoun ◽  
Daniel Lang

BACKGROUND: The renewed advent of Artificial Intelligence (AI) is inducing profound changes in the classic categories of technology professions and is creating the need for new specific skills. OBJECTIVE: Identify the gaps in terms of skills between academic training on AI in French engineering and Business Schools, and the requirements of the labour market. METHOD: Extraction of AI training contents from the schools’ websites and scraping of a job advertisements’ website. Then, analysis based on a text mining approach with a Python code for Natural Language Processing. RESULTS: Categorization of occupations related to AI. Characterization of three classes of skills for the AI market: Technical, Soft and Interdisciplinary. Skills’ gaps concern some professional certifications and the mastery of specific tools, research abilities, and awareness of ethical and regulatory dimensions of AI. CONCLUSIONS: A deep analysis using algorithms for Natural Language Processing. Results that provide a better understanding of the AI capability components at the individual and the organizational levels. A study that can help shape educational programs to respond to the AI market requirements.


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