Group items tagged

Brain imaging studies have explored the neural mechanisms of recovery in adults following acquired disorders and, more recently, childhood developmental disorders. However, the neural systems underlying adult rehabilitation of neurobiologically based learning disabilities remain unexplored, despite their high incidence. Here we characterize the differences in brain activity during a phonological manipulation task before and after a behavioral intervention in adults with developmental dyslexia. Phonologically targeted training resulted in performance improvements in tutored compared to nontutored dyslexics, and these gains were associated with signal increases in bilateral parietal and right perisylvian cortices. Our findings demonstrate that behavioral changes in tutored dyslexic adults are associated with (1) increased activity in those left-hemisphere regions engaged by normal readers and (2) compensatory activity in the right perisylvian cortex. Hence, behavioral plasticity in adult developmental dyslexia involves two distinct neural mechanisms, each of which has previously been observed either for remediation of developmental or acquired reading disorders.

Gratitude is a common aspect of social interaction, yet relatively little is known about the neural bases of gratitude expression, nor how gratitude expression may lead to longer-term effects on brain activity. This Indiana University study tested whether gratitude letter-writing had benefits on the emotional health of depressed patients. Researchers found that a simple gratitude writing intervention was associated with significantly greater and lasting neural sensitivity to gratitude - subjects who participated in gratitude letter writing showed both behavioral increases in gratitude and significantly greater neural modulation by gratitude in the medial prefrontal cortex three months later.

An infant's mother tongue creates neural patterns that the unconscious brain retains years later, even if the child totally stops using the language, (as can happen in cases of international adoption) according to a new joint study by scientists at the Montreal Neurological Institute and Hospital. The study offers the first neural evidence that traces of the "lost" language remain in the brain and suggests that early-acquired information is not only maintained in the brain, but unconsciously influences brain processing for years, perhaps for life -- potentially indicating a special status for information acquired during optimal periods of development. This could counter arguments not only within the field of language acquisition, but across domains, that neural representations are overwritten or lost from the brain over time.

There are two neural mechanisms that scientists believe enable us to communicate. One is that sound waves made by the speaker affects how the listener's brain responds, which is basically the same way the speaker's brain is responding. The other is that human brains have formed a common neural behavior which makes our brains respond in the same type of pattern, allowing us to share information through this neural behavior. One of the experiments discussed in this article explains that people were brought in and scanned by fMRI machines, monitoring the part of the brain that processes sound waves coming from the ear. These subjects were monitored while they were at rest, telling a story, and/or listening to a story. It then discusses the results and results of similar experiments.

Northwestern University researchers, led by Dr Nina Kraus, found that poor readers had reduced neural response (auditory brainstem activity) to rhythmic rather than random sounds compared to good readers. In fact the level of neural enhancement to acoustic regularities correlated with reading ability as well as musical aptitude. The musical ability test, specifically the rhythm aspect, was also related to reading ability. Similarly a good score on the auditory working memory related to better reading and to the rhythm aspect of musical ability. Dr Kraus explained, "Both musical ability and literacy correlated with enhanced electrical signals within the auditory brainstem. Structural equation modeling of the data revealed that music skill, together with how the nervous system responds to regularities in auditory input and auditory memory/attention accounts for about 40% of the difference in reading ability between children. These results add weight to the argument that music and reading are related via common neural and cognitive mechanisms and suggests a mechanism for the improvements in literacy seen with musical training."

Abstract: Self-affirmation theory posits that people are motivated to maintain a positive self-view and that threats to perceived self-competence are met with resistance. When threatened, self-affirmations can restore self-competence by allowing individuals to reflect on sources of self-worth, such as core values. Many questions exist, however, about the underlying mechanisms associated with self-affirmation. We examined the neural mechanisms of self-affirmation with a task developed for use in a functional magnetic resonance imaging environment. Results of a region of interest analysis demonstrated that participants who were affirmed (compared with unaffirmed participants) showed increased activity in key regions of the brain's self-processing (medial prefrontal cortex + posterior cingulate cortex) and valuation (ventral striatum + ventral medial prefrontal cortex) systems when reflecting on future-oriented core values (compared with everyday activities). Furthermore, this neural activity went on to predict changes in sedentary behavior consistent with successful affirmation in response to a separate physical activity intervention. These results highlight neural processes associated with successful self-affirmation, and further suggest that key pathways may be amplified in conjunction with prospection.

This article talks about how the Google Translate tool recently started using a neural network to translate between some of its most popular languages. The system is now so clever it can do this for language pairs on which it has not been explicitly trained.

"Neural processing that goes into deciphering simple two-word phrases is different from what happens when decoding complete sentences and other more complex linguistic expressions."

"The researchers can't be sure, but they think the remission of the man's stammer is likely related to his cerebellum damage, which may have had the effect of inhibiting excessive neural activation in that structure."

Cursing is unviversal. No matter who you are or what language you speak, everyone has some form of cursing. This makes cursing unique and researchers use this to decipher the architecture of the brain. Scientists are studying the neural circuitry behind swearing and are finding how the brain communicated with its domains.

This Scientific American blog article provides a handy run-down of research findings re: music's effect on the brain, including 1. Musicians are better able to process foreign languages because of their ability to hear differences in pitch, and have incredible abilities to detect speech in noise. Even those w/ a few years of music training showed more robust neural processing of sounds. Music "tones auditory fitness", critical for perceiving speech and distinguishing, recognizing and processing conversation in noisy environments. 2. Musical training and education may confer linguistic, mathematical, and spatial benefits, and promote social development/"team player" capacities.

Bradley Hayes, a post-doc student at the Massachusetts Institute of Technology, has invented @DeepDrumpf, an amusing bit of artificial intelligence. DeepDrumpf is a bot trained on the publicly available speech transcripts, tweets, and debate remarks of Donald Trump. Using a machine learning model known as a Recurrent Neural Network, the bot generates sequences of words based on priming text and the statistical structure found within its training data. Created to highlight the absurdity of this election cycle, it has amassed over 20,000 followers and has been viewed over 12 million times -- showcasing the consequences of training a machine learning model on a dataset that embodies fearmongering, bigotry, xenophobia, and hypernationalism. Here's a sample tweet: "We have to end education. What they do is unbelievable, how bad. Nobody can do that like me. Believe me."

Two University of Washington undergraduates have won a $10,000 Lemelson-MIT Student Prize for gloves that can translate sign language into text or speech. The Lemelson-MIT Student Prize is a nationwide search for the most inventive undergraduate and graduate students. This year, UW sophomores Navid Azodi and Thomas Pryor - who are studying business administration and aeronautics and astronautics engineering, respectively - won the "Use It" undergraduate category that recognizes technology-based inventions to improve consumer devices. Their invention, "SignAloud," is a pair of gloves that can recognize hand gestures that correspond to words and phrases in American Sign Language. Each glove contains sensors that record hand position and movement and send data wirelessly via Bluetooth to a central computer. The computer looks at the gesture data through various sequential statistical regressions, similar to a neural network. If the data match a gesture, then the associated word or phrase is spoken through a speaker.

What can you recite by heart? Your times tables? German verb formations? The Lord's Prayer? Novelist Salman Rushdie thinks it should be poetry. Speaking at the Hay Festival, the writer described memorising poems as a "lost art" that "enriches your relationship with language". David Whitley, a lecturer at Cambridge University, Whitely, whose Poetry and Memory project surveyed almost 500 people, says: "Those who memorised poems had a more personal relationship [with the poem] - they loved it for the sound and meaning, but it also connected with their life currents - people they loved, or a time that was important to them. "For people who memorise a poem, it becomes a living thing that they connect with - more so than when it is on a page. Learning by heart is often positioned as the opposite of analysis. But for many people who know a number of poems, their understanding grows over time and changes." Psychotherapist Philippa Perry agrees. She points out that memorising anything, from poems to music, means you always have it with you. She thinks that memorising poems can also be good for the health of our brains. "The way we 'grow' our brains is that we make connections between our brain cells - neural pathways. The more you exercise that network, the more you strengthen it. If you learn things by heart, you get better at it."

There are ways to reduce your risk of having a stroke - for example, you can exercise more and not smoke. But should a stroke occur, you might also be able to reduce your risk of losing brain function if you are a speaker of more than one language.

Dr. Thomas Bak, one of the study's authors, posits that language learning helps brains build "cognitive reserve": a rich network of neural connections - highways that can can still carry the busy traffic of thoughts even if a few bridges are destroyed, as via a stroke. "People with more mental activities have more interconnected brains, which are able to deal better with potential damage," Bak says. He likens language learning's effect on the brain to swimming's ability to strengthen the body. Learning a language at any stage in life provides a thorough workout, but other cognitive "exercises," such as doing puzzles or playing a musical instrument, might also benefit stroke recovery, he said. The research applies to the larger concept of neuroplasticity, in that the brain is dynamic and can adapt to new challenges when properly conditioned,

The importance of FOXP2, and how it affects language.

People have a deep desire to communicate with animals, as is evident from the way they converse with their dogs, enjoy myths about talking animals or devote lifetimes to teaching chimpanzees how to speak. A delicate, if tiny, step has now been taken toward the real thing: the creation of a mouse with a human gene for language.

Fascinating article on language learning using an app called Memrise. The company's goal: to take all of cognitive science's knowhow about what makes information memorable, and combine it with all the knowhow from social gaming about what makes an activity fun and addictive, and develop a web app that can help anyone memorise anything. Two takeaways for language learning, and acquiring and retaining any subject matter: 1. Elaborative encoding. The more context and meaning you can attach to a piece of information, the likelier it is that you'll be able to fish it out of your memory at some point in the future. And the more effort you put into creating the memory, the more durable it will be. One of the best ways to elaborate a memory is to try visually to imagine it in your mind's eye. If you can link the sound of a word to a picture representing its meaning, it'll be far more memorable than simply learning the word by rote. Create mnemonics for vocabulary. 2. "Spaced repetition". Cognitive scientists have known for more than a century that the best way to secure memories for the long term is to impart them in repeated sessions, distributed across time, with other material interleaved in between. If you want to make information stick, it's best to learn it, go away from it for a while, come back to it later, leave it behind again, and once again return to it - to engage with it deeply across time. Our memories naturally degrade, but each time you return to a memory, you reactivate its neural network and help to lock it in. One study found that students studying foreign language vocabulary can get just as good long-term retention from having learning sessions spaced out every two months as from having twice as many learning sessions spaced every two weeks. To put that another way: you can learn the same material in half the total time if you don't try to cram.

Playing a series of sounds to infants can speed up the way they process language and can also predict which infants will have trouble with language as they develop. Researchers concluded that processing language sounds sets up the neural foundation in babies.

The way that babies react to certain sounds can indicate their learning patterns and language capabilities later in life.

Dyslexia stems from physiological differences in the brain circuitry. Those differences can make it harder, and less efficient, for children to process the tiny components of language, called phonemes. Using cutting-edge MRI technology, the researchers are able to pinpoint a specific neural pathway, a white matter tract in the brain's left hemisphere that appears to be related to dyslexia: It's called the arcuate fasciculus. "It's an arch-shaped bundle of fibers that connects the frontal language areas of the brain to the areas in the temporal lobe that are important for language," Elizabeth Norton, a neuroscientist at MIT's McGovern Institute of Brain Research, explains.