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Remote cortical perturbation dynamically changes the network solutions to given tactile inputs in neocortical neurons
Leila Etemadi1, Jonas M D Enander1, Henrik Jörntell1
1Neural Basis of Sensorimotor Control, Department of Experimental Medical Science, Lund University, BMC F10 Tornavägen 10, 221 84 Lund, Sweden.
Iscience
|January 3, 2022
Summary
Altering the brain's internal state dynamically changes neural network constraints. This research shows how electrical perturbations influence neuronal responses to tactile stimuli, enabling richer perception.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Systems Neuroscience
Background:
- The neocortex possesses a global network structure that constrains neuronal activity for any given input.
- The brain's internal state is multidimensional and dynamic, influencing neuronal responses to stimuli.
- Understanding how network structure and internal state interact is crucial for explaining perceptual capabilities.
Purpose of the Study:
- To investigate how remote, subthreshold electrical perturbations affect neuronal response constraints in the somatosensory cortex (SI).
- To determine if altering the internal cortical state can modify the range of possible neuronal activation patterns in response to tactile input.
Main Methods:
- Intracellular recordings were performed in SI neurons of anesthetized rats.
- Spatiotemporal tactile input patterns were applied to the somatosensory system.
- Remote, subthreshold electrical perturbations were used to modulate the internal cortical state.
Main Results:
- Normally, each tactile input pattern induced a wide range of preferred neuronal response states.
- Electrical perturbation induced novel response states that were not otherwise observed.
- Perturbation also made certain other response states less likely, altering the distribution of responses.
Conclusions:
- The physiological network structure of the cortex is not fixed but can dynamically change with the internal state of cortical regions.
- This dynamic modulation of network constraints by internal state allows for a richer, multifactorial perceptual capability.
- The findings suggest a mechanism for how the brain integrates internal state with external stimuli to generate perception.
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