Summary: Researchers reveal how both error and reward signals are organized within the cerebral cortex.
Source: Vanderbilt University.
Psychiatrists diagnose people with schizophrenia, ADHD, bipolar disorder and other mental illnesses by spending time with them, looking for the particular behavior symptoms of each. What follows can be a hit-or-miss series of medications and dosages until disruptive behaviors go away.
By deciphering the circuitry of the medial frontal cortex – an area beneath the top of the head — those diagnoses could become much more efficient and precise by allowing physicians to diagnose based on how neurons respond to a simple series of behavior tests.
A Vanderbilt University team recently described how error and reward signals are organized within the cerebral cortex, which is only as thick as a nickel. They say this information could also be significant in drug development by guiding medications to target receptors in particular layers of the cerebral cortex where they will be most effective.
In a paper titled “Cortical Microcircuitry of Performance Monitoring,” their findings were published today in the journal Nature Neuroscience.
Jeffrey Schall, E. Bronson Ingram Professor of Neuroscience, said these new findings stem from earlier discoveries of a brainwave signal, recorded from the surface of the head, known as error-related negativity. It is observed following a mistake that allows people to correct their behavior. Schall’s laboratory subsequently discovered two “oops centers” in the cerebral cortex, sources in the brain producing similar error signals.
A combination of data from EEG sensors on the cranial surface and a specialized sensor embedded across the layers of the cerebral cortex reveals how neurons contribute to the brainwaves, said Amirsaman Sajad, a postdoctoral fellow. Sajad explained that the natural variation of the error brainwave signal was predicted by natural variation of the brain cell signals in the upper half of the cortical area.
With the team having verified generators of the error signal, he explained, further research is needed to determine what each generator contributes.
“Neurons in the upper layers predict whether you will slow down after an ‘oops’ and then speed up after you have some success,” Sajad said.
Beyond clear clinical relevance, these insights also offer deeper insights into how the brain produces organized, voluntary behavior, Schall said.
“Each area of the cerebral cortex has a unique structure and pattern of connections, but there was a belief that the circuitry was just a variation on a common theme. In this research we found that even the theme was different. We knew the error brainwave is abnormal in schizophrenics. But why? We couldn’t answer this until we knew how the neurons were working,” he said.
Funding: The study was supported by National Institutes of Health, NIH/National Eye Institute.
Source: Jennifer Nachbur – Vanderbilt University
Publisher: Organized by NeuroscienceNews.com.
Image Source: NeuroscienceNews.com image is in the public domain.
Original Research: Abstract for “Cortical microcircuitry of performance monitoring” by Amirsaman Sajad, David C. Godlove & Jeffrey D. Schall in Nature Neuroscience. Published January 14 2019.
doi:10.1038/s41593-018-0309-8
[cbtabs][cbtab title=”MLA”]Vanderbilt University”How Error and Reward Signals are Organized Within the Cerebral Cortex.” NeuroscienceNews. NeuroscienceNews, 14 January 2019.
<https://neurosciencenews.com/error-reward-cerebral-cortex-10536/>.[/cbtab][cbtab title=”APA”]Vanderbilt University(2019, January 14). How Error and Reward Signals are Organized Within the Cerebral Cortex. NeuroscienceNews. Retrieved January 14, 2019 from https://neurosciencenews.com/error-reward-cerebral-cortex-10536/[/cbtab][cbtab title=”Chicago”]Vanderbilt University”How Error and Reward Signals are Organized Within the Cerebral Cortex.” https://neurosciencenews.com/error-reward-cerebral-cortex-10536/ (accessed January 14, 2019).[/cbtab][/cbtabs]
Abstract
Cortical microcircuitry of performance monitoring
The medial frontal cortex enables performance monitoring, indexed by the error-related negativity (ERN) and manifested by performance adaptations. We recorded electroencephalogram over and neural spiking across all layers of the supplementary eye field, an agranular cortical area, in monkeys performing a saccade-countermanding (stop signal) task. Neurons signaling error production, feedback predicting reward gain or loss, and delivery of fluid reward had different spike widths and were concentrated differently across layers. Neurons signaling error or loss of reward were more common in layers 2 and 3 (L2/3), whereas neurons signaling gain of reward were more common in layers 5 and 6 (L5/6). Variation of error– and reinforcement-related spike rates in L2/3 but not L5/6 predicted response time adaptation. Variation in error-related spike rate in L2/3 but not L5/6 predicted ERN magnitude. These findings reveal novel features of cortical microcircuitry supporting performance monitoring and confirm one cortical source of the ERN.
