How the brain's internal states affect decision-making

Date:
August 17, 2020
Source:
College of Engineering, Carnegie Mellon University
Summary:
By recording the activity of separate populations of neurons
simultaneously, researchers have gained an unprecedented insight
into how the 'waxing and waning' of our mental state influences
the decisions we make.



FULL STORY ========================================================================== Biomedical Engineering's Matthew Smith and Byron Yu, along with former
Ph.D.

student Ben Cowley (School of Computer Science '18), have studied
the neural basis through which internal states in the brain affect decision-making over an extended period of time. Through recording the
activity of populations of neurons simultaneously in two brain areas,
they were able to gain unprecedented insight into how the waxing and
waning of our mental state influences the decisions we make.


========================================================================== While "internal state" or impulsivity are terms more generally discussed
in psychology or neuroscience, the concept is familiar to anyone. You
don't have to be a psychologist to know that conditions like hunger
or fatigue have an impact on thinking and decision-making; these are
examples of internal states.

However, the biological mechanism through which these states affect
critical thinking and the ability to make decisions is still poorly
understood.

Studies encompassing a long period of time are rare in neuroscience, and simultaneous measurement of multiple regions of the brain even rarer, but
this is exactly what Smith specializes in. The team posed subjects with
a simple visual task and simultaneously measured the prefrontal cortex,
an area associated with decision-making, and another area of the brain associated with visual perception. Their goal was to measure how activity
in this "decision circuit" changed in repeating this task over the course
of a few hours. ` What they were able to observe over the course of the
task was what they have termed a "slow neural drift" in brain activity. As
time passed the subjects' decisions slowly changed, and with this change
the team observed a drift in brain activity synchronized across multiple
brain regions, which they associated with a change in internal state over
time. Their observations on the effect of slow neural drift on subject
behavior offers insight into how these internal states may physically
influence decision-making. These findings illustrate the crucial role
that internal states play in understanding the biological workings of
the brain's decision circuit and how they may change over time.

"We all have tendencies that shift over time, ranging from times that
we are quite patient and willing to wait to other times that we are
more impulsive and prone to guess," said Smith, "We found that this
tendency was woven into the brain-wide activity of our subjects."
As decision-making is one of the most fundamental cognitive processes,
this research could have broad implications for future studies in
neuroscience and psychology. Several medically-defined mental conditions,
such as schizophrenia, attention deficit disorder (ADD), Tourette's
syndrome, and others, affect one's impulsivity in a way that may be
comparable in effect to these internal states.

Though the range is diverse, each condition has an effect on
decision-making that may be unraveled through long term, multi-region
studies of the decision circuit like that of Smith, Yu, and Cowley. It
may prove a particularly useful tool in understanding the pharmacological effects of various drugs and understanding how they affect brain function.

There is also much that could be learned about brain-computer interfaces
(BCI) and human-machine interfaces. The waxing and waning of mental states observed by the team over time could lead a BCI to become less accurate in reading out a person's thoughts or movement intentions. Their work informs
the design of future, more robust BCI and human-machine interfaces.

Similarly, in regard to education, everyone has experienced the ebb
and flow of their mental state when sitting through a lecture. By
understanding how these changes in mental states come about, we can
develop better ways of teaching and learning, such as presenting important material only when students are likely to be most alert.

For Smith, Yu, and Cowley, the logical next steps are to better
characterize the slow neural drifts with electroencephalography (EEG),
identify which brain region is the source of the slow neural drift, and emphasize the importance of longer timescales in this type of research.

The team's contributions represent a major advance in understanding
the function of the brain's decision circuit over time. Their discovery
of how internal states cause the phenomenon of slow neural drift will
greatly influence how future neuroscientists and psychologists understand decision- making and impulsivity.


========================================================================== Story Source: Materials provided by College_of_Engineering,_Carnegie_Mellon_University.

Original written by Dan Carroll. Note: Content may be edited for style
and length.


========================================================================== Journal Reference:
1. Benjamin R. Cowley, Adam C. Snyder, Katerina Acar, Ryan
C. Williamson,
Byron M. Yu, Matthew A. Smith. Slow Drift of Neural Activity
as a Signature of Impulsivity in Macaque Visual and Prefrontal
Cortex. Neuron, 2020; DOI: 10.1016/j.neuron.2020.07.021 ==========================================================================

Link to news story: https://www.sciencedaily.com/releases/2020/08/200817123055.htm

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