In a study appearing [February 6] in Nature Communications, […] a team of researchers succeeded at enhancing memory more reliably, by stimulating an area of the brain mostly ignored in earlier studies and by applying that stimulation more strategically and selectively.
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[T]he experiment [was conducted] in patients with epilepsy whose treatment already involved invasive neurosurgical procedures. As the patients were shown a series of words they would be asked to remember later, the researchers recorded activity in several regions of their brains. They then used a machine-learning algorithm to build a “memory model” for each individual: It could read a patient’s neural response — more specifically, changing patterns of low- and high-frequency activity throughout the memory network — when first presented with a word, and predict how likely he or she was to remember it. If the model predicted the patient had more than a 50 percent chance of forgetting, it triggered stimulation to the left lateral temporal cortex, a surface area of the brain known to be active during memory tasks, including ones related to language.Related on the SLP
“We essentially built a control system” for the subjects’ memory, [researcher Michael] Kahana said. He and his colleagues found that the control system enabled patients to remember approximately 15 percent more of the task’s words than they could without it.
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