Researchers from the Netherlands Institute for Neuroscience (NIN) used a new technique to show how electrical impulses are traveling at high speed in the brain. It appears that myelin, the sheath around neurons, creates a coaxial cable producing multiple waves of electrical potentials traveling in a more complicated manner than was envisioned earlier. These findings allow us to create better theories and tools to understand demyelinating diseases, including the most common neurological disorder, multiple sclerosis. The paper has been published in the prestigious scientific journal Cell.
The brain consists of around one hundred billion neurons. All these neurons have to communicate with each other. This happens by means of exchanging electrical impulses traveling at velocities of up to 360 km/h. “We know this requires the presence of myelin sheaths, consisting of multiple layers of fatty material wrapped around the nerve cell extensions. Myelin is often conceptualized as being an insulator that leads to the “jumping” of electrical potentials along the cables that we could see as the ‘highways of our brain,’ but the mechanisms of jumping were not understood. However, this research opens new avenues to understand the hardware of the brain in terms of it computes with rapid signal transfer,” says professor Maarten Kole.
Together with researchers of the Max-Planck Institute (MPI) of Experimental Medicine (Göttingen, Germany), the researchers used electron microscopy to measure the distance between the nerve cell membrane and the insulating sheath, which turned out to be 12 nanometers, approximately 10,000 times thinner than a hair. Furthermore, the scientists of the NIN used a new technique to make electricity visible and took advantage of a supercomputer to calculate the specific properties of myelin sheaths. “All the findings together showed that instead of being an insulating sheath, myelin creates an additional layer like coaxial cables producing multiple waves of electrical potentials travelling in a more complicated manner than was envisioned earlier,” Kole explains. These findings open new avenues to understand the hardware of how brains are computing with rapid signal transfer.
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