Ruiz, S.; Lee, S.; Dalboni da Rocha, J. L.; Ramos, A.; Pasqualotto, E.; Soares, E.; García, E.; Fetz, E.; Birbaumer, N.; Sitaram, R. Motor Intentions Decoded from fMRI Signals. Preprints2024, 2024050016. https://doi.org/10.20944/preprints202405.0016.v1
APA Style
Ruiz, S., Lee, S., Dalboni da Rocha, J. L., Ramos, A., Pasqualotto, E., Soares, E., García, E., Fetz, E., Birbaumer, N., & Sitaram, R. (2024). Motor Intentions Decoded from fMRI Signals. Preprints. https://doi.org/10.20944/preprints202405.0016.v1
Chicago/Turabian Style
Ruiz, S., Niels Birbaumer and Ranganatha Sitaram. 2024 "Motor Intentions Decoded from fMRI Signals" Preprints. https://doi.org/10.20944/preprints202405.0016.v1
Abstract
Motor intention is a high-level brain function related to planning for movement. Although studies have shown that motor intentions can be decoded from brain signals before movement execution, it was unclear whether intentions relating to mental imagery of movement could be decoded. Here, we investigated whether differences in spatial and temporal patterns of brain activation were elicited by intentions to perform different types of motor imagery and whether the patterns could be used by a multivariate pattern classifier to detect such differential intentions. The results showed that it is possible to decode intentions before the onset of different types of motor imagery from functional MR signals obtained from fronto-parietal brain regions, such as the premotor cortex and posterior parietal cortex, while controlling for eye movements and for muscular activity of the hands. These results highlight the critical role played by the aforementioned brain regions in covert motor intentions. Moreover, they have substantial implications for rehabilitating patients with motor disabilities.
Keywords
motor intention; fMRI; frontal lobe; parietal lobe; motor imaginary; neurorehabilitation; brain–computer interfaces
Subject
Medicine and Pharmacology, Neuroscience and Neurology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
,
,
,
,
,
