Happy to announce that Prashanth Prakash's paper on decoding #speech intent from signals outside the frontal lobe is out today in JNE!
https://lnkd.in/gn2CZ5Aj
Quick summary: Brain computer interfaces (#BCIs) for speech restoration have focused on decoding motor signals from the motor cortices. This has produced amazing results that could help people with paralysis communicate. A much bigger population of patients cannot communicate due to expressive #aphasia, which involves damage to these frontal lobe areas. BCIs could still help people with aphasia if we can decode signals outside the frontal lobe. But first, it is critical to show we can tell when someone is trying to speak, vs. just thinking, so we don't decode people's thoughts. Here, we show that we can decode the intent to speak from signals recorded in temporal and parietal lobes, areas traditionally thought to be involved in hearing and processing, rather than producing, speech.
Thanks to Prashanth, Tianhao (Alec) L., Robert Flint, Matthew Tate, Joshua Rosenow, Emily Mugler, Jason Hsieh, Matthew Goldrick, Josh Glaser, Zach Fitzgerald and Jessica Templer.
https://lnkd.in/gUA_UQ4q
https://lnkd.in/gUyq32Ah