Hemodynamic traveling waves transport musical codes faster than language codes via shared bilateral streams
Huang, R.;Gao, C.;Lei, U.;Leong, T.;Ang, J.;Leong, C.;Choi, C.;Sereno, M.;Li, D.;Lei, V.
Show abstract
What takes precedence in our brain: music or language? Here we used rapid phase-encoded fMRI to explore spatiotemporal brain dynamics during naturalistic music and language tasks, seeking to track down the entire perception-to-production process and compare the speed of information transfer between the two domains. We found largely shared streams of traveling waves bilaterally, along which musical codes were transported faster than language codes for identical visual input.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Cognitive boundary signals in the human medial temporal lobe shape episodic memory representation 98%
- Structure and influence in an interconnected world: neurocomputational mechanism of real-time distributed learning on social networks 97%
- Emergence of a somatosensory tonotopic map for substrate vibration in the brainstem 97%
Similar papers in this journal
- Slowly evolving dopaminergic activity modulates the moment-to-moment probability of movement initiation. 97%
- linc-mipep and linc-wrb encode micropeptides that regulate chromatin accessibility in vertebrate-specific neural cells 97%
- Layer 6 ensembles can selectively regulate the behavioral impact and layer-specific representation of sensory deviants 96%
Similar papers in this journal
- Ventral frontostriatal circuitry mediates the computation of reinforcement from symbolic gains and losses 97%
- A cortical circuit mechanism for coding and updating task structural knowledge in inference-based decision-making 97%
- Whole-brain mapping of effective connectivity by fMRI with cortex-wide patterned optogenetics 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.