| First Author | Wang ZA | Year | 2026 |
| Journal | Nat Neurosci | Volume | 29 |
| Issue | 1 | Pages | 147-158 |
| PubMed ID | 41254282 | Mgi Jnum | J:378060 |
| Mgi Id | MGI:8279241 | Doi | 10.1038/s41593-025-02114-x |
| Citation | Wang ZA, et al. (2026) Brain-wide analysis reveals movement encoding structured across and within brain areas. Nat Neurosci 29(1):147-158 |
| abstractText | 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. |
