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How the brain controls the voice - Rhythmic neural signals determine the sounds that bats make

20.03.2020

A particular neuronal circuit in the brains of bats controls their vocalisations. This was recently discovered by biologists at Goethe University Frankfurt. Based on the rhythm with which the circuit oscillated, the Frankfurt researchers were able to predict the kind of sounds the bats were about to make. These research results could contribute to a better understanding of human diseases in which language is impaired such as Parkinson’s or Tourette syndrome.

Bats are famous for their sonar-based navigation. They use their extremely sensitive hearing for orientation, emitting ultrasound noises and receiving an image of their surroundings based on the echo. Seba’s short-tailed bat (Carollia perspicillata), for example, finds the fruits that are its preferred food using this echolocation system.


Different vocalization-related neural signals occurring across frontal cortex laminae (left) precede social calls (top) and echolocation calls (bottom)uttered by Carollia perspicillata.

Julio C. Hechavarria, Goethe University Frankfurt

At the same time, bats also use their voices in a somewhat deeper frequency range to communicate with other members of their species. Seba’s short-tailed bats employ a vocal range for this purpose that is otherwise only found among songbirds and humans. Like humans, they produce sound through the larynx.

Together with his team, neuroscientist Julio C. Hechavarria from the Institute for Cell Biology and Neuroscience at Goethe University investigated brain activity preceding vocalisation in Seba’s short-tailed bats.

The scientists were able to identify a group of nerve cells that create a circuitry from the frontal lobe to the corpus striatum in the interior of the brain.

When this neural circuit fires off rhythmic signals, the bat emits a vocalisation about half a second later. The type of rhythm seemed to determine whether the bats were about to utter echolocation or communication vocalisations.

Since it is nearly impossible to make a prediction within half a second, the Frankfurt researchers trained a computer to test their hypothesis: The computer analysed the recorded sounds and the neural rhythm separately and attempted to make prognoses using the various rhythms.

The result: in its predictions of echolocation versus communication vocalisations, the computer was correct about 80 percent of the time. Predictions were particularly accurate when considering signals from the frontal lobe, an area that in humans has been linked to action planning, among other functions.

The Frankfurt scientists argue that the rhythms they observed in the bat brain are similar to neural rhythms often recorded from the human scalp, and concluded that brain rhythms could be linked to sound production in mammals in general.


Julio Hechavarria: “For over 50 years, bats have served as an animal model for studying how the brain processes auditory stimuli and how human language develops. For the first time, we were able to show how distant brain regions in bats communicate with each other during vocalization. At the same time, we know that the corresponding brain networks are impaired in individuals who, for example, stutter as a result of Parkinson’s disease or emit involuntary noises due to Tourette syndrome. We therefore hope that by continuing to study vocal behaviour in bats, we can contribute to a better understanding of these human diseases.”

Wissenschaftliche Ansprechpartner:

Julio C. Hechavarria, Ph.D., Auditory Computations Group (group leader), Institut of Cell Biology and Neuroscience, Goethe University Frankfurt, Phone +49 (0)69 798-42050, E-Mail: Hechavarria@bio.uni-frankfurt.de, https://www.julio-hechavarria.com/

Originalpublikation:

Fronto-striatal oscillations predict vocal output in bats.
Kristin Weineck, Francisco García-Rosales, Julio C. Hechavarria; PLOS Biology DOI 10.1371/journal.pbio.3000658
https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3000658

Weitere Informationen:

Image download as tif file:
http://www.uni-frankfurt.de/86729013

Markus Bernards | idw - Informationsdienst Wissenschaft

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