Neural mechanisms of sustained attention are rhythmic

By Randolph F. Helfrich, Ian C. Fiebelkorn, S. Szczepanski, Jack J. Lin, J. Parvizi, Robert T. Knight, Sabine Kastner. 2018

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Neuroscience

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In Cognitive Neuroscience

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Citations in the corpus

Causal Evidence for the Role of Neuronal Oscillations in Top-Down and Bottom-Up Attention (2019, unknown): “Finally, theta frequency has been implicated in the rhythmic sampling of visual information (Fiebelkorn, Pinsk, & Kastner, 2018; Helfrich et al., 2018; Busch & VanRullen, 2010); however, these studies often rely on stimuli to be presented over a longer epoch on the order of seconds.”
Theta activity and cognitive functioning: Integrating evidence from resting-state and task-related developmental electroencephalography (EEG) research (2024, methodology): “Similarly, Helfrich et al., (2018) analyzed brain activity during two attention tasks in adults using intracranial EEG (electro-corticography; ECoG) and found that participants ’ perceptual performance varied depending on the phase of theta (~ 4 Hz) activity across different cortical regions.”
Neurophysiological mechanisms of cognition in the developing brain: Insights from intracranial EEG studies (2023, background): “…and thus provide optimal time windows to coordinate activity within and between brain regions to support cognition (Buzs ´ aki et al., 2012, 2013; Buzsaki and Draguhn, 2004; Canolty and Knight, 2010; Fiebelkorn and Kastner, 2019; Fries, 2005, 2015; Helfrich et al., 2018; Lisman and Jensen, 2013).”
Rhythms of human attention and memory: An embedded process perspective (2022, background): “Complementing its proposed role as an organizing scheme, theta-gamma coupling has been characterized as a mechanism for attentional selection (Fiebelkorn and Kastner, 2019), with critical evidence from intracranial recordings in humans (Helfrich et al., 2018), and memory formation, with empirical ev”
Multimodal neuroimaging of hierarchical cognitive control. (2024, background): “The emergence of oscillatory activity in neuronal populations is fundamental for orchestrating information processing by temporally locking to environmental information (Fiebelkorn et al., 2018; Helfrich et al., 2017) and potentially binding neuronal representations (Clouter et al., 2017).”
Hierarchical consciousness: the Nested Observer Windows model (2024, background): “…windows describes how some perceptions are fused and others flicker (Venables and Warwick-Evans 1967, Samaha and Postle 2015), and why attention seems to blink out between each object of attention (Raymond et al. 1992, Shapiro et al. 1997, Fiebelkorn and Kastner 2018, Helfrich et al. 2018).”
On Natural Attunement: Shared Rhythms Between the Brain and the Environment. (2023, unknown): “The effect of neural entrainment on multisensory integration and cognitive functions related to attention (Helfrich et al., 2018; VanRullen, 2016) and memory (for a review: Hanslmayr et al., 2019) suggests an impact on behavior.”
Prioritizing flexible working memory representations through retrospective attentional strengthening (2023, unknown): “The theta oscillations originating from frontoparietal networks, under attentional control, serve as a brain clock to organize the attentional states after the retro-cue (Fiebelkorn et al., 2018; Gaillard and Ben Hamed, 2022; Gregoriou et al., 2009; Helfrich et al., 2018).”
Shared resources between visual attention and visual working memory are allocated through rhythmic sampling (2019, result): “This finding is in line with previous evidence showing that attention does not operate in a static fashion, but instead has an intrinsically oscillatory nature (Busch & VanRullen, 2010; Fiebelkorn et al., 2011, 2013, 2018; Helfrich et al., 2018; Landau & Fries, 2012), with this rhythm depending o”
Alpha oscillations support attentional orienting while beta supports perceptual decision-making (2026, unknown): “Recent theoretical frameworks propose that attention emerges through rhythmic interactions among multiple oscillatory processes (Landau and Fries, 2012; Fiebelkorn et al., 2018; Helfrich et al., 2018; Fiebelkorn and Kastner, 2019).”
Functional Specialization in the Attention Network (2019, background): “Recent work, however, has shown that spatial attention is discontinuous, sampling the visual environment in rhythmic cycles (Busch & VanRullen 2010, Fiebelkorn et al. 2018, Helfrich et al. 2018,Jia et al. 2017, Landau et al. 2015).”