Researchers published a Nature Communications study demonstrating a method to decode phantom limb motor commands directly from intraneural peripheral nerve recordings. The team showed that signals captured from implanted intraneural electrodes can be interpreted to infer intended limb movements in amputees. The paper details signal‑processing pipelines and decoding algorithms validated across subjects, and it links the approach to potential improvements in neuroprosthetic control and closed‑loop feedback. The study names specific implementation steps to translate peripheral‑nerve signals into motor commands for prosthetic actuation. For neural‑engineering firms and clinical teams developing advanced prosthetics, the work implies a path to higher‑fidelity control without relying solely on surface EMG or cortical implants. The methods will inform device design, regulatory strategies for implantable interfaces, and next‑stage clinical trials.