McGovern Institute

Researchers from MIT and elsewhere have studied the mind of polyglots and uncovered how language-specific regions of the brain respond to different and familiar languages, reports Natalia Mesa for Science. The researchers found that “the activity in the brain’s language network fluctuated based on how well participants understood a language. The more familiar the language, the larger the response,” writes Mesa. “There was one exception to the rule: when participants heard their native tongue, their language networks were actually quieter than when they heard other familiar languages.”

Prof. Evelina Fedorenko speaks with Atlantic reporter Matteo Wong about her research exploring how “the brain behaves when an individual speaks different languages.” Fedorenko explains that “it seems like languages provide us with mappings between forms and meanings.”

MIT scientists have found that silent synapses - a type of memory-forming synapse - are present in the adult brain, reports The Economist. The discovery of these silent synapses, explains Prof. Mark Harnett, “is a lever for us to get into understanding learning in adults and how potentially we can get access to make it not degrade over the course of aging or disease.”

Researchers at MIT have developed new gene-editing technology that can move large sequences of DNA into the human genome, reports Ryan Cross for The Boston Globe. “The molecular tool gives scientists a new way to completely replace broken genes, paving the way to potential cures for diseases such as cystic fibrosis,” writes Cross.

MIT researchers have found that standard autism diagnostic tests could be “stymieing discovery of sex differences in autism,” reports Ingrid Wickelgren for Scientific American. “To qualify for the study, prospective participants had to take a standard activity-based assessment for autism to confirm their diagnosis,” says Wickelgren. “After testing, half of the 50 girls and women who would otherwise be eligible for the scientists’ study did not meet the test’s criteria for autism.”

Researchers from MIT and Boston Children’s Hospital are working on developing new technology that could help predict and identify diseases through audio recordings of a patient’s voice, reports Jim Morelli for Boston 25 News. “It’s almost like being Sherlock Holmes to voice, taking voice as a signal and trying to understand what’s going on behind it,” said Satrajit Ghosh, a principal research scientist at the McGovern Institute. “And can we backtrack from voice and say this is ‘Disorder A’ versus ‘Disorder B’?” 

Scientists from MIT, Duke and Stanford have developed a new technique to make gene therapies safer and more effective, reports Ryan Cross for The Boston Globe. “It’s about making these therapies much smarter and programmable,” says Jonathan S. Gootenberg, a research scientist at the McGovern Institute.

Scientists at MIT have found that specific neurons in the human brain light up whenever we see images of food, reports Dr. Mallika Marshall for CBS Boston. “The researchers now want to explore how people’s responses to certain foods might differ depending on their personal preferences, likes and dislikes and past experiences,” Marshall.

MIT researchers have developed a new magnet-based system to monitor muscle movements that could help make prosthetic limbs easier to control, reports Brianna Silva for WHDH.

A study by MIT researchers finds that the screening test used for autism creates a gender gap that impedes diagnosis and treatment for women and girls, reports Sydney Murphy for Health Day. The researchers found that “a screening test often used to decide who can take part in autism studies seems to exclude a much higher percentage of women than men,” writes Murphy.

A new study by MIT researchers finds that women being excluded from studies on autism can hinder diagnoses and the development of useful interventions for women and girls, reports Gianna Melillo for The Hill. “Female diagnoses could be missed altogether and an already small pool of study subjects is further reduced,” writes Melillo.

Prof. Edward Boyden has developed a new imaging technique called expansion-revealing microscopy that can reveal tiny protein structures in tissues, reports The Economist. “Already his team at MIT has used it to reveal detail in synapses, the nanometer-sized junctions between nerve cells, and also to shed light on the mechanisms at play in Alzheimer’s disease, revealing occasional spirals of amyloid-beta protein around axons, which are the threadlike parts of nerve cells that carry electrical impulses.”

Researchers at MIT have discovered that pictures of food appear to stimulate strong reactions among specific sets of neurons in the human brain, a trait that could have evolved due to the importance of food for humans, reports Sascha Pare for The Guardian. “The researchers posit these neurons have gone undetected because they are spread across the other specialized cluster for faces, places, bodies and words, rather than concentrated in one region,” writes Pare.

Graduate student Anna Ivanova and University of Texas at Austin Professor Kyle Mahowald, along with Professors Evelina Fedorenko, Joshua Tenenbaum and Nancy Kanwisher, write for The Conversation that even though AI systems may be able to use language fluently, it does not mean they are sentient, conscious or intelligent. “Words can be misleading, and it is all too easy to mistake fluent speech for fluent thought,” they write.

MIT researchers have developed a new computational model that could be used to help explain differences in how neurotypical adults and adults with autism recognize emotions via facial expressions, reports Tony Ho Tran for The Daily Beast. “For visual behaviors, the study suggests that [the IT cortex] pays a strong role,” says research scientist Kohitij Kar. “But it might not be the only region. Other regions like amygdala have been implicated strongly as well. But these studies illustrate how having good [AI models] of the brain will be key to identifying those regions as well.”