Neural timescales reflect behavioral demands in freely moving rhesus macaques
Data files
Mar 04, 2024 version files 22.76 MB
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BA_change.mat
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LP_change.mat
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LP_timescales.mat
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README.md
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resting_baseline_timescales.mat
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session_wide_timescales.mat
Abstract
Previous work demonstrated a highly reproducible cortical hierarchy of neural timescales at rest, with sensory areas displaying fast, and higher-order association areas displaying slower timescales. The question arises as to how such stable hierarchies give rise to adaptive behavior that requires flexible adjustment of temporal coding and integration demands. Potentially, this lack of variability in the hierarchical organization of neural timescales could reflect the structure of the laboratory contexts. We posit that unconstrained paradigms are ideal to test whether the dynamics of neural timescales reflect behavioral demands. Here we measured timescales of local field potential activity while male rhesus macaques foraged in an open space. We found a hierarchy of neural timescales that differs from previous work. Importantly, although the magnitude of neural timescales expanded with task engagement, the brain areas’ relative position in the hierarchy was stable. Next, we demonstrated that the change in neural timescales is dynamic and contains functionally relevant information, differentiating between similar events in terms of motor demands and associated rewards. Finally, we demonstrated that brain areas are differentially affected by these behavioral demands. These results demonstrate that while the space of neural timescales is anatomically constrained, the observed hierarchical organization and magnitude are dependent on behavioral demands.
README: Neural timescales reflect behavioral demands in freely moving rhesus macaques
https://doi.org/10.5061/dryad.8sf7m0cx1
This dataset consists of the neural timescales (in ms) estimated from local field potential activity in freely moving macaques.
Description of the data and file structure
Session-wide neural timescales (Figure 2): session_wide_timescales.mat
Baseline neural timescales (Figure 3): resting_baseline_timescales.mat
Neural timescales before and after the first (LP1) and final (LPf) lever presses (Figure 3): LP_timescales.mat
The change in neural timescales from the baseline before and after the first (LP1) and final (LPf) lever presses (Figure 4): LP_change.mat
Before-after change in neural timescales for first lever press (LP1), final lever presses (LPf), stay lever presses, and leave lever presses (Figure 5): BA_change.mat
Code/Software
Neural timescales were estimated using the FOOOF toolbox.
Donoghue T, Haller M, Peterson EJ, Varma P, Sebastian P, Gao R, Noto T, Lara AH, Wallis JD, Knight RT, Shestyuk A, Voytek B (2020). Parameterizing neural power spectra into periodic and aperiodic components. Nature Neuroscience, 23, 1655-1665. DOI: 10.1038/s41593-020-00744-x