FB2026_01 , released March 12, 2026
FB2026_01 , released March 12, 2026
Reference Report
Open Close
Reference
Citation
Braun, J., Hurtak, F., Wang-Chen, S., Ramdya, P. (2024). Descending networks transform command signals into population motor control.  Nature 630(8017): 686--694.
FlyBase ID
FBrf0259864
Publication Type
Research paper
Abstract
To convert intentions into actions, movement instructions must pass from the brain to downstream motor circuits through descending neurons (DNs). These include small sets of command-like neurons that are sufficient to drive behaviours[1]-the circuit mechanisms for which remain unclear. Here we show that command-like DNs in Drosophila directly recruit networks of additional DNs to orchestrate behaviours that require the active control of numerous body parts. Specifically, we found that command-like DNs previously thought to drive behaviours alone[2-4] in fact co-activate larger populations of DNs. Connectome analyses and experimental manipulations revealed that this functional recruitment can be explained by direct excitatory connections between command-like DNs and networks of interconnected DNs in the brain. Descending population recruitment is necessary for behavioural control: DNs with many downstream descending partners require network co-activation to drive complete behaviours and drive only simple stereotyped movements in their absence. These DN networks reside within behaviour-specific clusters that inhibit one another. These results support a mechanism for command-like descending control in which behaviours are generated through the recruitment of increasingly large DN networks that compose behaviours by combining multiple motor subroutines.
PubMed ID
PubMed Central ID
PMC11186778 (PMC) (EuropePMC)
Associated Information
Comments
Associated Files
Other Information
Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Nature
    Title
    Nature
    Publication Year
    1869-
    ISBN/ISSN
    0028-0836
    Data From Reference
    Alleles (37)
    Genes (6)
    Insertions (1)
    Transgenic Constructs (36)