# Decoding grasp and speech signals from the cortical grasp circuit in a tetraplegic human

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/decoding-grasp-and-speech-signals-from-the-cortical-grasp-circuit-in-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sarah Kim Wandelt,Spencer Kellis,David A. Bjånes,Kelsie Pejsa,Brian Lee,Charles Y. Liu,Richard A. Andersen |
| Citations | 48 |
| DOI | 10.1016/j.neuron.2022.03.009 |
| Fields | Engineering,Neuroscience |
| Open Access | true |
| OA Status | hybrid |
| OA URL | http://www.cell.com/article/S0896627322002458/pdf |
| OpenAlex ID | https://openalex.org/W4225718860 |
| PMID | 35364014 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Kelsie Pejsa](https://scholariq.org/researchers/kelsie-pejsa/)
- [David A. Bjånes](https://scholariq.org/researchers/david-a-bjanes/)

## Paper journal

- [Neuron](https://scholariq.org/journals/neuron/)

## Paper primary topic

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)

## Paper topics

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Neuroscience and Neural Engineering](https://scholariq.org/topics/neuroscience-and-neural-engineering/)
- [Muscle activation and electromyography studies](https://scholariq.org/topics/muscle-activation-and-electromyography-studies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.