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Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
Published on: May 10, 2024
Motor imagery and self-recognition from actions
1Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, Brain Research Institute, David Geffen School of Medicine, University of California, Los Angeles, CA, USA; Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA; Brain and Creativity Institute, University of Southern California, Los Angeles, CA, USA.
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We recently identified cortical areas in the Action Observation Network that preferentially encoded self actions from minimal kinematic cues (Kadambi et al., 2025). Here, we investigate how identity decoding in these brain areas (Inferior Parietal Lobules, IPL; Inferior Frontal Gyri, IFG; Primary Motor Cortex, M1; Extrastriate Body Area, EBA; Superior Temporal Sulci, STS) relate to motor imagery ability. Using multivariate decoding and localizer analyses, we found that frontoparietal regions (IPL, IFG, and M1) selectively decoded self-identity, while occipitotemporal regions (EBA and STS), did not show such self-specific selectivity, but largely decoded across identities. Participant variability in motor imagery ability was positively associated with self-identity decoding in the IPL, EBA, STS and negatively with other-identity decoding in the IFG. These results introduce functional links between motor imagery and self-action decoding, emerging from frontoparietal and occipitotemporal regions.
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