Neuronal timescales are functionally dynamic and shaped by cortical microarchitecture
By Richard Gao, R. L. van den Brink, Thomas Pfeffer, Bradley Voytek. 2020
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
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Citations in the corpus
- Aperiodic neural timescales in prefrontal cortex dilate with increased task abstraction (2025, unknown): “Lastly, given that the knee parameter of the PSD is the most directly mathematically relatable to the tau parameter of the ACF (24), it would be ideal to measure the knee parameter from our scalp EEG.”
- Aperiodic Dynamics of Cell Assemblies Recruited for L1 and L2 Processing of French Wh-Dependencies Highlight a Temporo-Parietal Engagement in Syntax (2026, unknown): “Crucially, aperiodic activity also shifts in task processing [67] and has been tied to arousal [68], consciousness [69,70], and performance [71–73], reflecting close ties between aperiodic activity and functional connectivity [74].”
- Developmental relationships between the human alpha rhythm and intrinsic neural timescales are dependent on neural hierarchy (2025, unknown): “Such a model aligns with observations of differential alpha generation across the cortical hierarchy (71,72), potentially lending to distinct roles for alpha, and with findings that INTs are modulated by allocation of sensory attention (73).”
- Heterochronous laminar maturation in the human prefrontal cortex (2025, unknown): “By combining myelin-sensitive MRI with measures of EEG aperiodic activity, we uncovered that higher R1 was related to a functional index of higher E/I balance 59,60 and a faster timescale of neural activity 61,62 .”
- Glutamatergic and GABAergic Receptor Modulation Present Unique Electrophysiological Fingerprints in a Concentration-Dependent and Region-Specific Manner (2023, background): “The aperiodic knee frequency informs on neuronal timescales, which are region-dependent following a rostrocaudal gradient in humans (Gao et al., 2020).”
- Oscillations and aperiodic activity: Evidence for dynamic changes in both during memory encoding (2022, background): “This likely has far-reaching implications as aperiodic activity has been shown to vary across cortical depth [13], change during development [14–17], and aging [18–20], shift between task states [21], and is altered in disease [22–25].”
- Time-resolved parameterization of aperiodic and periodic brain activity (2022, unknown): “Nevertheless, the spectral knee frequency is related to intrinsic neuronal timescales and cortical microarchitecture (Gao et al., 2020), which are expected to be stable properties within each individual and across a given recording.”