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Abstract
Contextual cues and prior evidence guide human goal-directed behavior. The neurophysiological mechanisms that implement contextual priors to guide subsequent actions in the human brain remain unclear. Using intracranial electroencephalography (iEEG), we demonstrate that increasing uncertainty introduces a shift from a purely oscillatory to a mixed processing regime with an additional ramping component. Oscillatory and ramping dynamics reflect dissociable signatures, which likely differentially contribute to the encoding and transfer of different cognitive variables in a cue-guided motor task. The results support the idea that prefrontal activity encodes rules and ensuing actions in distinct coding subspaces, while theta oscillations synchronize the prefrontal-motor network, possibly to guide action execution. Collectively, our results reveal how two key features of large-scale neural population activity, namely continuous ramping dynamics and oscillatory synchrony, jointly support rule-guided human behavior.
The authors show that neuronal populations in the human prefrontal-motor network interact via two discernible communication modes – ramping dynamics and neural oscillations. These modes operate in concert to facilitate rule-guided behavior.
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1 University Medical Center Tübingen, Hertie Institute for Clinical Brain Research, Center for Neurology, Tübingen, Germany (GRID:grid.411544.1) (ISNI:0000 0001 0196 8249); University of Tübingen, International Max Planck Research School for the Mechanisms of Mental Function and Dysfunction, Tübingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447)
2 University of Oslo, Department of Psychology, Oslo, Norway (GRID:grid.5510.1) (ISNI:0000 0004 1936 8921); University of Oslo, RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, Oslo, Norway (GRID:grid.5510.1) (ISNI:0000 0004 1936 8921); Oslo University Hospital, Department of Neurosurgery, Oslo, Norway (GRID:grid.55325.34) (ISNI:0000 0004 0389 8485); Helgeland Hospital, Department of Neuropsychology, Mosjøen, Norway (GRID:grid.55325.34)
3 University of Oslo, Department of Psychology, Oslo, Norway (GRID:grid.5510.1) (ISNI:0000 0004 1936 8921); University of Oslo, RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, Oslo, Norway (GRID:grid.5510.1) (ISNI:0000 0004 1936 8921)
4 University of Oslo, Department of Psychology, Oslo, Norway (GRID:grid.5510.1) (ISNI:0000 0004 1936 8921); University of Oslo, RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, Oslo, Norway (GRID:grid.5510.1) (ISNI:0000 0004 1936 8921); UC Berkeley, Helen Wills Neuroscience Institute, Berkeley, USA (GRID:grid.47840.3f) (ISNI:0000 0001 2181 7878)
5 University of Oslo, Department of Psychology, Oslo, Norway (GRID:grid.5510.1) (ISNI:0000 0004 1936 8921); University of Oslo, RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, Oslo, Norway (GRID:grid.5510.1) (ISNI:0000 0004 1936 8921); Helgeland Hospital, Department of Neuropsychology, Mosjøen, Norway (GRID:grid.5510.1)
6 University of Oslo, Department of Psychology, Oslo, Norway (GRID:grid.5510.1) (ISNI:0000 0004 1936 8921); University of Oslo, RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, Oslo, Norway (GRID:grid.5510.1) (ISNI:0000 0004 1936 8921); University of Oslo, Department of Musicology, Oslo, Norway (GRID:grid.5510.1) (ISNI:0000 0004 1936 8921)
7 Oslo University Hospital, Department of Neurosurgery, Oslo, Norway (GRID:grid.55325.34) (ISNI:0000 0004 0389 8485)
8 UC Berkeley, Helen Wills Neuroscience Institute, Berkeley, USA (GRID:grid.47840.3f) (ISNI:0000 0001 2181 7878); UC Berkeley, Department of Psychology, Berkeley, USA (GRID:grid.47840.3f) (ISNI:0000 0001 2181 7878)
9 University Medical Center Tübingen, Hertie Institute for Clinical Brain Research, Center for Neurology, Tübingen, Germany (GRID:grid.411544.1) (ISNI:0000 0001 0196 8249)