@article {68829,
	title = {Brain-wide analysis reveals movement encoding structured across and within brain areas},
	journal = {Nat Neurosci},
	year = {2025},
	month = {2025 Nov 18},
	abstract = {<p>Movement-related activity has been detected across much of the brain, including sensory and motor regions. However, much remains unknown regarding the distribution of movement-related activity across brain regions, and how this activity relates to neural computation. Here we analyzed movement-related activity in brain-wide recordings of more than 50,000 neurons in mice performing a decision-making task. We used multiple machine learning methods to predict neural activity from videography and found that movement-related signals differed across areas, with stronger movement signals close to the motor periphery and in motor-associated subregions. Delineating activity that predicts or follows movement revealed fine-scale structure of sensory and motor encoding across and within brain areas. Through single-trial video-based predictions of behavior, we identified activity modulation by uninstructed movements and their impact on choice-related activity analysis. Our work provides a map of movement encoding across the brain and approaches for linking neural activity, uninstructed movements and decision-making.</p>
},
	doi = {10.1038/s41593-025-02114-x},
	url = {https://doi.org/10.1038/s41593-025-02114-x},
	author = {Ziyue Aiden Wang and Susu Chen and Yi Liu and Dave Liu and Karel Svoboda and Nuo Li and Shaul Druckmann}
}
