Top-Down Beta Enhances Bottom-Up Gamma

By Craig G. Richter, W. Thompson, Conrado A. Bosman, Pascal Fries. 2016

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In Cognitive Neuroscience

Citations in the corpus

Causal Evidence for the Role of Neuronal Oscillations in Top-Down and Bottom-Up Attention (2019, background): “Alpha and beta oscillations are dissociable (Strauß, Kotz, Scharinger, & Obleser, 2014), and whereas alpha oscillations are inhibitory, beta oscillations have been shown to boost bottom-up cortical activity (Richter et al., 2017).”
Oscillatory activity underlying cognitive performance in children and adolescents with autism: a systematic review (2024, background): “…functions (Herrmann et al., 2004; Ba¸sar et al., 2015) and top-down integration (Pfurtscheller and Lopes Da Silva, 1999; Buschman and Miller, 2007; Richter et al., 2017; Casanova et al., 2021), scalp recording faces several technical diﬃculties that challenge a straightforward interpretation of…”
Rhythms of human attention and memory: An embedded process perspective (2022, background): “…relation between local ﬁeld alpha desynchronization and neural ﬁring rates in sensory cortical regions has been found in monkeys (Haegens et al., 2011), and the alpha rhythm has been shown to exert top-down inﬂuences in the visual cortex of macaques (Bastos et al., 2015; Richter et al., 2017).”
Top-down and bottom-up interactions rely on nested brain oscillations to shape rhythmic visual attention sampling (2025, unknown): “The framework positing that the communication between brain regions is based on nested oscillations [37,46] accommodates prominent and related theories of oscillatory communication.”
Fluctuations in functional connectivity associated with interictal epileptiform discharges (IEDs) in intracranial EEG (2021, background): “Additionally, while low frequency signals are thought to influence top-down cognitive processes, high frequency signals are thought to reflect bottom-up sensory driven processing[54, 55].”
Nested oscillations and brain connectivity during sequential stages of feature-based attention (2020, unknown): “, the type of stimulus to attend/ignore, the type of 364 response required) (Richter et al., 2017).”
Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior (2019, background): “Several theoretical approaches have examined how these two scales of functional activity may harmonize to produce the desired behavior [91], and empirical research has shown that there is consistent cross-talk between these scales [90].”