Summary: A new PNAS study reveals the communication between brain areas that specialize in language is supported by the rhythmic synchronization of brain cells. Researchers found different rhythms reflect different directions of information flow.
Source: Donders Institute.
The communication between brain regions specialized in language is supported by rhythmic synchronization of brain cells. Moreover, different rhythms reflect different directions of information flow – a breakthrough in the research on communication between functionally specialized brain regions. Neuroscientists from the Nijmegen Max Planck Institute for Psycholinguistics (MPI) and Radboud University publish their findings in PNAS on July 11.
Many neuroscientists study demarcated brain regions that are specialized in specific functions, like controlling movement or processing visual information. Jan-Mathijs Schoffelen, a neuroscientist at the MPI and Radboud University’s Donders Institute, is interested in the communication between brain regions. This information exchange is necessary for a smooth collaboration of specialized areas. Until now, little is known about these dynamic interactions and how they influence the efficiency of the brain. Simply because the interactions are hard to measure from the outside. Schoffelen: “MRI scanners allow us to see which brain areas are active when we perform certain tasks. We can also see, up to a certain level, how activation patterns between brain areas correlate. But how the interaction between them arises, and how information travels from A to B, is still a mystery.”
Brain regions exchange information through so-called action potentials: small discharges of electrical activity in brain cells. Previous research into the visual brain has already shown that rhythmic activity between brain regions generates a protocol that enables more efficient processing of action potentials. “In this study, we demonstrate the same protocol for the network of brain areas involved in processing language. This is a remarkable finding, because language is a much more complex process than vision.”
Protocol for the whole brain?
Rhythmic brain activity facilitates information exchange between brain regions, and makes communications more efficient. Furthermore, various rhythms reflect various directions of information flow. “With our findings, we provide new evidence for the idea that this protocol could be a generic mechanism that also accounts for various other specialized brain regions”, according to Schoffelen. Thus, neuroscientists are a small step closer to solving the riddle of how brain regions communicate with each other.
Source: Donders Institute
Image Source: NeuroscienceNews.com image is credited to PNAS.
Original Research: Abstract for “Frequency-specific directed interactions in the human brain network for language” by Jan-Mathijs Schoffelen, Annika Hultén, Nietzsche Lam, André F. Marquand, Julia Uddén, and Peter Hagoort in PNAS. Published online July 11 2017 doi:0.1073/pnas.1703155114
[cbtabs][cbtab title=”MLA”]Donders Institute “Rhythmic Firing of Brain Cells Supports Communication in Brain Network for Language.” NeuroscienceNews. NeuroscienceNews, 12 July 2017.
<https://neurosciencenews.com/communication-network-language-7067/>.[/cbtab][cbtab title=”APA”]Donders Institute (2017, July 12). Rhythmic Firing of Brain Cells Supports Communication in Brain Network for Language. NeuroscienceNew. Retrieved July 12, 2017 from https://neurosciencenews.com/communication-network-language-7067/[/cbtab][cbtab title=”Chicago”]Donders Institute “Rhythmic Firing of Brain Cells Supports Communication in Brain Network for Language.” https://neurosciencenews.com/communication-network-language-7067/ (accessed July 12, 2017).[/cbtab][/cbtabs]
Abstract
Frequency-specific directed interactions in the human brain network for language
The brain’s remarkable capacity for language requires bidirectional interactions between functionally specialized brain regions. We used magnetoencephalography to investigate interregional interactions in the brain network for language while 102 participants were reading sentences. Using Granger causality analysis, we identified inferior frontal cortex and anterior temporal regions to receive widespread input and middle temporal regions to send widespread output. This fits well with the notion that these regions play a central role in language processing. Characterization of the functional topology of this network, using data-driven matrix factorization, which allowed for partitioning into a set of subnetworks, revealed directed connections at distinct frequencies of interaction. Connections originating from temporal regions peaked at alpha frequency, whereas connections originating from frontal and parietal regions peaked at beta frequency. These findings indicate that the information flow between language-relevant brain areas, which is required for linguistic processing, may depend on the contributions of distinct brain rhythms.
“Frequency-specific directed interactions in the human brain network for language” by Jan-Mathijs Schoffelen, Annika Hultén, Nietzsche Lam, André F. Marquand, Julia Uddén, and Peter Hagoort in PNAS. Published online July 11 2017 doi:0.1073/pnas.1703155114
