ArticleNeuroImage2020
Spontaneous network activity <35 Hz accounts for variability in stimulus-induced gamma responses.
Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- Dissecting unsupervised learning through hidden Markov modeling in electrophysiological data.Journal of neurophysiology · 2023Article
- Age-related differences in transient gamma band activity during working memory maintenance through adolescence.NeuroImage · 2023Article
- Closed-Loop Adaptive Deep Brain Stimulation in Parkinson's Disease: Procedures to Achieve It and Future Perspectives.Journal of Parkinson's disease · 2023Review
- Stability of spectral estimates in resting-state magnetoencephalography: Recommendations for minimal data duration with neuroanatomical specificity.NeuroImage · 2022Article
- Dissociable Components of Information Encoding in Human Perception.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Individual Magnetoencephalography Response Profiles to Short-Duration L-Dopa in Parkinson's Disease.Frontiers in human neuroscience · 2021Article
- Article
- Debugging Adaptive Deep Brain Stimulation for Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2020Review
- Continuous deep brain stimulation of the subthalamic nucleus may not modulate beta bursts in patients with Parkinson's disease.Brain stimulationArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Gamma activity is thought to serve several cognitive processes, including attention and memory. Even for the simplest stimulus, the occurrence of gamma activity is highly variable, both within and between individuals. The sources of this variability, however, are largely unknown. In this paper, we address one possible cause: the cross-frequency influence of spontaneous, whole-brain network activity on visual stimulus processing. By applying Hidden Markov modelling to MEG data, we reveal that the trial-averaged gamma response to a moving grating depends on the individual network dynamics, inferred from slower brain activity (<35 Hz) in the absence of stimulation (resting-state and task baseline). In addition, we demonstrate that modulations of network activity in task baseline influence the gamma response on the level of trials. In summary, our results reveal a cross-frequency and cross-session association between gamma responses induced by visual stimulation and spontaneous network activity. These findings underline the dependency of visual stimulus processing on the individual, functional network architecture.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.