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Study establishes fluctuating 'gating' mechanisms supporting flexible brain behavior

Study establishes fluctuating 'gating' mechanisms supporting flexible behavior
Regional HFB information accumulation and filtering effects supporting successful WM. a Successful CL performance was linked to increased HFB activity to the second over first item (F(1,255) = 13.082, p = 0.0004). Data are represented as individual electrode datapoints, and condition probability densities and medians calculated across electrodes from all subjects (n = 145 electrodes from 11 biologically independent samples). Boxplots present the medians and interquartile ranges, and whiskers the 1.5 × IQR from the quartile. Source data are provided as a Source Data file. *p < 0.05. b Electrodes contributing to the significant correct > error effect in (a), overlaid on the MNI-152 template brain. Electrode size indicates the relative size of the item 2 > 1 difference on correct trials (0 < z < 6.75), consistent with information accumulation in WM. This figure was created using BrainNet Viewer. c On correct CF trials, faster behavioral RT was linked to increased HFB activity to targets over distractors (F(1,276) = 6.86, p = 0.009; n = 145 electrodes from 11 biologically independent samples), same conventions as a. d Electrodes contributing to the significant RT correlation effect in c overlaid on the MNI-152 template brain. Electrode size indicates the relative size of the normalized RT × (target > distractor) correlation (−3.16 < z < 0), consistent with an open gate. This figure was created using BrainNet Viewer. Credit: Nature Communications (2023). DOI: 10.1038/s41467-023-38574-7

A recent Northwestern Medicine study has demonstrated how neocortical brain networks fluctuate in synchrony to support neural mechanisms that allow information to enter working memory and change goals on the fly.

The ability to change behavior quickly, or flexible behavior, depends on previously identified "gating" mechanisms, which open a metaphorical "gate" that lets relevant information in and then closes, keeping irrelevant information out.

The current findings, published in Nature Communications, improve the understanding of how humans can think flexibly.

"They explain how our brains allow us to focus on relevant information and continue to keep that focus, even as what is relevant changes from moment to moment," said Elizabeth Johnson, Ph.D., assistant professor of Medical Social Sciences and of Pediatrics and lead author of the study.

Specifically, Johnson and her team studied neurosurgery patients undergoing intracranial electroencephalography (EEG) monitoring as part of their treatment regimen for drug-resistant epilepsy.

"This technique measures the human 's electrical activity with unparalleled spatiotemporal precision," Johnson said.

During EEG monitoring, patients were asked to perform a working memory task adapted from previous research.

Using these methods, Johnson's team discovered rapid changes in the of theta brain waves—which support the regulation of memory and behavior—in the patients' neocortical brain networks.

Their findings establish this gating mechanism as an enabler of flexible behavior, a role that was previously attributed to the brain's striatum, according to Johnson.

"In addition to revealing a neocortical gating mechanism, our results help us understand how emerges from interactions across brain networks," Johnson said.

More information: Elizabeth L. Johnson et al, A rapid theta network mechanism for flexible information encoding, Nature Communications (2023). DOI: 10.1038/s41467-023-38574-7

Journal information: Nature Communications
Citation: Study establishes fluctuating 'gating' mechanisms supporting flexible brain behavior (2023, June 5) retrieved 26 April 2024 from https://medicalxpress.com/news/2023-06-fluctuating-gating-mechanisms-flexible-brain.html
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