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Study uncovers how brain cells coordinate movement planning
Which neurons in the brain control movements, and how? This question was addressed by a team of researchers from the fields of neuroscience and artificial intelligence in a study conducted on an animal model at the interdisciplinary research centre BrainLinks-BrainTools at the University of Freiburg. The findings, now published in the journal Cell Reports, could help to improve the precision of mind-controlled prostheses. 3, 2, 1 - and go! When the signal sounds, all the runners push off from their starting blocks and set off sprinting. The reason why we are able to act within fractions of a second is because we plan movements in our brains in advance, before carrying them out. At the interdisciplinary research centre BrainLinks-BrainTools at the University of Freiburg, a team of 15 researchers from the fields of biology, artificial intelligence, and neurotechnology have investigated in greater detail how the transition from mentally preparing a movement to actually executing it with one's muscles is controlled at the neural level. In their article, published in the journal Cell Reports, the researchers now propose an improved model for understanding the neural processes involved in movement planning. 'Thanks to this basic research, we now have a better understanding of the neural processes in the brain for controlling movements. In the long term, these findings could be used to develop treatments or aids for people with mobility impairments. For example, sensors could detect movement signals in the brain and transmit them to a smart prosthesis.', says Prof. Dr. Ilka Diester, spokesperson of the Centre BrainLinks-BrainTools and professor of optophysiology at the Faculty of Biology, who designed the study together with Prof. Dr. Joschka Bödecker, professor of computer science at the Faculty of Engineering. Measurement of neural activity during movement planning and execution For the study, the researchers trained rats to move a lever with their hand until they felt a vibration and then to release it. As a reward, they received a drop of sugar water. Their neural activities were recorded during this experiment. With regard to movement planning and execution, the rodent brain is similar to the human brain. Both contain two specific areas that become active when movements are planned and executed: the premotor and the primary motor cortex. 'Up to now, it was unclear precisely how movement planning is coordinated between these two areas of the brain. Above all, we wondered why these two brain regions show activity even before the movement is executed and without any premature movement occurring', explains Dr. Julian Ammer, senior researcher in Diester's Optophysiology Research Group and one of the first authors of the study, along with Dr. Mansour Alyahyay, Dr. Gabriel Kalweit, and Hao Zhu. The switching population hypothesis The research team has now succeeded in demonstrating how the commands are transmitted at the neural level: During movement planning, neurons in the premotor cortex communicate with both inhibitory and excitatory neurons in the primary motor cortex. The command to execute a movement can only be given once neural activity in the premotor cortex has shifted to neurons that communicate primarily with excitatory neurons in the primary motor cortex. Only then can an external signal - in the experiment, the vibration of the lever - trigger the execution of the movement. The assumption that this shifting pattern of neural activity enables the precise execution of a planned movement is referred to by the research team as the switching population hypothesis. The researchers propose that this hypothesis should replace the two previously dominant hypotheses. Interdisciplinary collaboration between biology, artificial intelligence, and anatomy The findings were made possible through interdisciplinary collaboration at the BrainLinks-BrainTools research centre at the University of Freiburg: Diester's research group is specialized in using light signals to influence the activity of individual neurons, thus finding out what function they perform. An AI model supported the interpretation of the activity patterns and their role in the planning and execution of movement. The model was developed by Bödecker and his team specifically for this study and enabled the researchers to predict which groups of neurons influence behaviour in what way. In addition, Prof. Dr. Andreas Vlachos, Head of the Department of Neuroanatomy at the Institute of Anatomy and Cell Biology, used electron microscope images to demonstrate the connections between the neurons in the premotor cortex and the inhibitory and excitatory neurons in the primary motor cortex at the cellular level. This supports the switching population hypothesis from an anatomical perspective. Source: Albert-Ludwigs-UniversitÀt Freiburg Journal reference: Alyahyay, M., et al. (2026). Mechanisms of premotor-motor cortex interactions during movement initiation. Cell Reports. DOI: 10.1016/j.celrep.2026.117542. https://www.cell.com/cell-reports/fulltext/S2211-1247(26)00620-0
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From Planning to Action: Fundamental Insights on Movement Planning in the Brain | Newswise
Newswise -- Which neurons in the brain control movements, and how? This question was addressed by a team of researchers from the fields of neuroscience and artificial intelligence in a study conducted on an animal model at the interdisciplinary research centre BrainLinks-BrainTools at the University of Freiburg. The findings, now published in the journal Cell Reports, could help to improve the precision of mind-controlled prostheses. 3, 2, 1 - and go! When the signal sounds, all the runners push off from their starting blocks and set off sprinting. The reason why we are able to act within fractions of a second is because we plan movements in our brains in advance, before carrying them out. At the interdisciplinary research centre BrainLinks-BrainTools at the University of Freiburg, a team of 15 researchers from the fields of biology, artificial intelligence, and neurotechnology have investigated in greater detail how the transition from mentally preparing a movement to actually executing it with one's muscles is controlled at the neural level. In their article, published in the journal Cell Reports, the researchers now propose an improved model for understanding the neural processes involved in movement planning. 'Thanks to this basic research, we now have a better understanding of the neural processes in the brain for controlling movements. In the long term, these findings could be used to develop treatments or aids for people with mobility impairments. For example, sensors could detect movement signals in the brain and transmit them to a smart prosthesis.', says Prof. Dr. Ilka Diester, spokesperson of the Centre BrainLinks-BrainTools and professor of optophysiology at the Faculty of Biology, who designed the study together with Prof. Dr. Joschka Bödecker, professor of computer science at the Faculty of Engineering. Measurement of neural activity during movement planning and execution For the study, the researchers trained rats to move a lever with their hand until they felt a vibration and then to release it. As a reward, they received a drop of sugar water. Their neural activities were recorded during this experiment. With regard to movement planning and execution, the rodent brain is similar to the human brain. Both contain two specific areas that become active when movements are planned and executed: the premotor and the primary motor cortex. 'Up to now, it was unclear precisely how movement planning is coordinated between these two areas of the brain. Above all, we wondered why these two brain regions show activity even before the movement is executed and without any premature movement occurring', explains Dr. Julian Ammer, senior researcher in Diester's Optophysiology Research Group and one of the first authors of the study, along with Dr. Mansour Alyahyay, Dr. Gabriel Kalweit, and Hao Zhu. The switching population hypothesis The research team has now succeeded in demonstrating how the commands are transmitted at the neural level: During movement planning, neurons in the premotor cortex communicate with both inhibitory and excitatory neurons in the primary motor cortex. The command to execute a movement can only be given once neural activity in the premotor cortex has shifted to neurons that communicate primarily with excitatory neurons in the primary motor cortex. Only then can an external signal - in the experiment, the vibration of the lever - trigger the execution of the movement. The assumption that this shifting pattern of neural activity enables the precise execution of a planned movement is referred to by the research team as the switching population hypothesis. The researchers propose that this hypothesis should replace the two previously dominant hypotheses. Interdisciplinary collaboration between biology, artificial intelligence, and anatomy The findings were made possible through interdisciplinary collaboration at the BrainLinks-BrainTools research centre at the University of Freiburg: Diester's research group is specialized in using light signals to influence the activity of individual neurons, thus finding out what function they perform. An AI model supported the interpretation of the activity patterns and their role in the planning and execution of movement. The model was developed by Bödecker and his team specifically for this study and enabled the researchers to predict which groups of neurons influence behaviour in what way. In addition, Prof. Dr. Andreas Vlachos, Head of the Department of Neuroanatomy at the Institute of Anatomy and Cell Biology, used electron microscope images to demonstrate the connections between the neurons in the premotor cortex and the inhibitory and excitatory neurons in the primary motor cortex at the cellular level. This supports the switching population hypothesis from an anatomical perspective.
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Researchers at University of Freiburg discovered how brain cells coordinate movement planning through a neural switching mechanism. The study reveals that neurons in the premotor cortex shift their communication patterns with the primary motor cortex to enable precise movement execution. This breakthrough could advance mind-controlled prostheses for people with mobility impairments.
A team of 15 researchers from the University of Freiburg has uncovered fundamental insights into how brain cells coordinate movement planning and execution. Published in Cell Reports, the study conducted at the interdisciplinary research centre BrainLinks-BrainTools reveals a novel neural mechanism that explains how we can react within fractions of a second when needed.
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The research demonstrates that movement planning involves complex interactions between the premotor cortex and primary motor cortexâtwo brain regions that become active before any physical movement occurs. "Up to now, it was unclear precisely how movement planning is coordinated between these two areas of the brain," explains Dr. Julian Ammer, senior researcher in the Optophysiology Research Group and one of the first authors alongside Dr. Mansour Alyahyay, Dr. Gabriel Kalweit, and Hao Zhu.
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The research team proposes the switching population hypothesis to explain neural processes during movement planning. During the planning phase, neurons in the premotor cortex communicate with both inhibitory and excitatory neurons in the primary motor cortex. The command to execute a movement can only be given once neural activity in the premotor cortex has shifted to neurons that communicate primarily with excitatory neurons in the primary motor cortex.
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This shifting pattern of neural activity enables the precise execution of planned movements. Only after this neural switching occurs can an external signal trigger the actual movement. The researchers propose that this hypothesis should replace the two previously dominant theories about movement control.
To investigate neural activity patterns, researchers trained rats to move a lever with their hand until they felt a vibration and then release it. The rodent brain is similar to the human brain regarding movement planning and execution, making this animal model valuable for understanding human neural processes.
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The study addressed a puzzling question: why do these brain regions show activity even before the movement is executed and without any premature movement occurring? The answer lies in the coordinated communication between different types of neurons that must be precisely timed to prevent unintended movements while maintaining readiness to act.

Source: News-Medical
The breakthrough was enabled through interdisciplinary collaboration combining neuroscience, artificial intelligence, and anatomy. Prof. Dr. Joschka Bödecker, professor of computer science at the Faculty of Engineering, and his team developed an AI model specifically for this study. The model enabled researchers to predict which groups of neurons influence behavior in what way by interpreting complex activity patterns.
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Diester's research group used light signals through optophysiology techniques to influence the activity of individual neurons, determining their specific functions. Prof. Dr. Andreas Vlachos, Head of the Department of Neuroanatomy, used electron microscopy to demonstrate the connections between neurons in the premotor cortex and the inhibitory and excitatory neurons in the primary motor cortex at the cellular level, providing anatomical evidence supporting the switching population hypothesis.
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"Thanks to this basic research, we now have a better understanding of the neural processes in the brain for controlling movements," says Prof. Dr. Ilka Diester, spokesperson of the Centre BrainLinks-BrainTools and professor of optophysiology at the Faculty of Biology, who designed the study. "In the long term, these findings could be used to develop treatments or aids for people with mobility impairments. For example, sensors could detect movement signals in the brain and transmit them to a smart prosthesis."
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The research holds promise for improving the precision of mind-controlled prostheses by better understanding when the brain transitions from planning to executing movements. This knowledge could help engineers design neurotechnology that more accurately interprets brain signals and responds appropriately to user intentions.
The study's interdisciplinary collaboration at BrainLinks-BrainTools demonstrates how combining neurotechnology, artificial intelligence, and traditional neuroscience methods can unlock new understanding of brain function. Researchers should watch for follow-up studies testing the switching population hypothesis in human subjects and applications in prosthetic device development.
Short-term implications include refined models for understanding movement disorders and improved brain-computer interfaces. Long-term, this research could transform treatments for people with mobility impairments by enabling more intuitive control of assistive devices that respond naturally to neural commands. The integration of AI models with biological research may accelerate discoveries about other brain functions beyond movement planning.
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