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Dynamic control of decision and movement speed in the human basal ganglia

Damian M. Herz (), Manuel Bange, Gabriel Gonzalez-Escamilla, Miriam Auer, Keyoumars Ashkan, Petra Fischer, Huiling Tan, Rafal Bogacz, Muthuraman Muthuraman, Sergiu Groppa and Peter Brown
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Damian M. Herz: University of Oxford
Manuel Bange: University Medical Center of the Johannes Gutenberg-University Mainz
Gabriel Gonzalez-Escamilla: University Medical Center of the Johannes Gutenberg-University Mainz
Miriam Auer: University Medical Center of the Johannes Gutenberg-University Mainz
Keyoumars Ashkan: King’s College Hospital
Petra Fischer: University of Bristol
Huiling Tan: University of Oxford
Rafal Bogacz: University of Oxford
Muthuraman Muthuraman: University Medical Center of the Johannes Gutenberg-University Mainz
Sergiu Groppa: University Medical Center of the Johannes Gutenberg-University Mainz
Peter Brown: University of Oxford

Nature Communications, 2022, vol. 13, issue 1, 1-15

Abstract: Abstract To optimally adjust our behavior to changing environments we need to both adjust the speed of our decisions and movements. Yet little is known about the extent to which these processes are controlled by common or separate mechanisms. Furthermore, while previous evidence from computational models and empirical studies suggests that the basal ganglia play an important role during adjustments of decision-making, it remains unclear how this is implemented. Leveraging the opportunity to directly access the subthalamic nucleus of the basal ganglia in humans undergoing deep brain stimulation surgery, we here combine invasive electrophysiological recordings, electrical stimulation and computational modelling of perceptual decision-making. We demonstrate that, while similarities between subthalamic control of decision- and movement speed exist, the causal contribution of the subthalamic nucleus to these processes can be disentangled. Our results show that the basal ganglia independently control the speed of decisions and movement for each hemisphere during adaptive behavior.

Date: 2022
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DOI: 10.1038/s41467-022-35121-8

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