A new way of imaging the brain with magnetic resonance imaging (MRI) does not directly detect neural activity as originally reported, according to scientists at MIT's McGovern Institute.
Mar 27 2024McGovern Institute for Brain Research A new way of imaging the brain with magnetic resonance imaging does not directly detect neural activity as originally reported, according to scientists at MIT's McGovern Institute. The method, first described in 2022, generated excitement within the neuroscience community as a potentially transformative approach.
So when a team of scientists reported in Science a new MRI method called DIANA, for "direct imaging of neuronal activity," neuroscientists paid attention. The authors claimed that DIANA detected MRI signals in the brain that corresponded to the electrical signals of neurons, and that it acquired signals far faster than the methods now used for functional MRI.
Recreating the MRI procedure reported by DIANA's developers, postdoctoral researcher Valerie Doan Phi Van imaged the brain of a rat as an electric stimulus was delivered to one paw. Phi Van says she was excited to see an MRI signal appear in the brain's sensory cortex, exactly when and where neurons were expected to respond to the sensation on the paw. "I was able to reproduce it," she says. "I could see the signal.
Phi Van traced the source of the specious signals to the pulse program that directs DIANA's imaging process, detailing the sequence of steps the MRI scanner uses to collect data. Embedded within DIANA's pulse program was a trigger for the device that delivers sensory input to the animal inside the scanner. That synchronizes the two processes, so the stimulation occurs at a precise moment during data acquisition.
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MRI method purported to detect neurons' rapid impulses produces its own misleading signals insteadA new way of imaging the brain with magnetic resonance imaging (MRI) does not directly detect neural activity as originally reported, according to scientists at MIT's McGovern Institute. The method, first described in 2022, generated excitement within the neuroscience community as a potentially transformative approach.
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