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The subthalamic nucleus during decision-making with multiple alternatives.

Max C Keuken^1,2, Leendert Van Maanen¹, Rafal Bogacz³

¹Amsterdam Brain and Cognition, University of Amsterdam, Nieuwe Prinsengracht 130, Amsterdam, The Netherlands.

Human Brain Mapping

|July 17, 2015

Summary

This summary is machine-generated.

Increased subthalamic nucleus (STN) activity aids decision-making with more choices, as predicted by neurocomputational models. Anterior cingulate cortex (ACC) activity correlates with STN activity, offering new insights into brain processing.

Keywords:

basal ganglia computational modeling decision-making diffusion weighted imaging functional magnetic resonance imaging ultrahigh field magnetic resonance imaging

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Area of Science:

Neuroscience
Cognitive Science
Computational Neuroscience

Background:

Neurocomputational models propose that increased subthalamic nucleus (STN) activity modulates decision-making with more choice alternatives.
This heightened STN activity is thought to facilitate prolonged information accumulation during complex choices.
The medial frontal cortex, including the anterior cingulate cortex (ACC) and pre-supplementary motor area (pre-SMA), is hypothesized to influence STN processing.

Purpose of the Study:

To empirically test neurocomputational predictions regarding STN activity during multiple-alternative decision-making.
To investigate the relationship between STN activity and the number of available choices.
To explore the modulatory influence of medial frontal cortex areas (ACC, pre-SMA) on STN function.

Main Methods:

Utilized a multimodal approach combining 7 Tesla structural and functional Magnetic Resonance Imaging (MRI).
Employed ancestral graph (AG) modeling to analyze neural data and causal relationships.
Designed experiments to assess brain activity across varying numbers of choice alternatives.

Main Results:

Confirmed predictions by observing increased STN activity with a greater number of choice alternatives.
Found a significant correlation between activity in the anterior cingulate cortex (ACC) and the STN.
Demonstrated that ACC activity does not directly modulate STN activity, suggesting a different interaction mechanism.

Conclusions:

The study validates key predictions of neurocomputational models concerning STN function in decision-making.
Highlights a correlational, rather than direct modulatory, relationship between ACC and STN activity.
Provides novel insights into the information processing pathways connecting the medial frontal cortex and basal ganglia.