Modality-specific tracking of attention and sensory statistics in the human electrophysiological spectral exponent
Leonhard Waschke,Thomas Donoghue,Lorenz Fiedler,Sydney Smith,Douglas D. Garrett,Bradley Voytek,Jonas Obleser +6 more
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TL;DR: The spectral exponent of non-invasive electroencephalography (EEG) recordings is highly sensitive to general (i.e., anaesthesia-driven) changes in E:I balance as discussed by the authors.
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Abstract: A hallmark of electrophysiological brain activity is its 1/f-like spectrum - power decreases with increasing frequency. The steepness of this 'roll-off' is approximated by the spectral exponent, which in invasively recorded neural populations reflects the balance of excitatory to inhibitory neural activity (E:I balance). Here, we first establish that the spectral exponent of non-invasive electroencephalography (EEG) recordings is highly sensitive to general (i.e., anaesthesia-driven) changes in E:I balance. Building on the EEG spectral exponent as a viable marker of E:I, we then demonstrate its sensitivity to the focus of selective attention in an EEG experiment during which participants detected targets in simultaneous audio-visual noise. In addition to these endogenous changes in E:I balance, EEG spectral exponents over auditory and visual sensory cortices also tracked auditory and visual stimulus spectral exponents, respectively. Individuals' degree of this selective stimulus-brain coupling in spectral exponents predicted behavioural performance. Our results highlight the rich information contained in 1/f-like neural activity, providing a window into diverse neural processes previously thought to be inaccessible in non-invasive human recordings.
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Citations
Supplementary motor area disinhibition during motor sequence learning: A TMS-EEG study
Sophie Thong,Elizabeth Doery,Mana Biabani,Nigel C. Rogasch,Trevor T.‐J. Chong,Joshua Hendrikse,James P. Coxon +6 more
- 28 Feb 2024
TL;DR: Disinhibition in the supplementary motor area during motor sequence learning. Disinhibition occurs in the SMA during the early stages of learning, and is associated with improved task performance.
Effect of sleep deprivation on fractal and oscillatory spectral measures of the sleep EEG: a window on basic regulatory processes
Csenge G. Horváth,Róbert Bódizs +1 more
- 30 Aug 2024
TL;DR: This study examines the effects of 35-hour sleep deprivation on sleep EEG spectral measures in young adults, finding that spectral slope is a reliable indicator of sleep depth and homeostatic regulation, while sleep spindle frequency dynamics are influenced by both homeostatic and circadian processes.
The Influence of Prestimulus 1/f-Like versus Alpha-Band Activity on Subjective Awareness of Auditory and Visual Stimuli
TL;DR: The results suggest that the difference in alpha power often reported before visual hits versus misses is probably best thought of as a combination of narrowband alpha and broadband shifts, and changes in broadband parameters also appear to be strong predictors of the subsequent awareness of visual stimuli.
Effects of Breast Cancer Treatment on Neural Noise: a Longitudinal Design
Robert D. Melara,James C. Root,Jay A. Edelman,Maria Camilla P. Estelle,Isabella Mohr,Tim A. Ahles +5 more
TL;DR: This longitudinal study found that breast cancer treatment significantly elevates neural noise in survivors, particularly in cognitive tasks, associated with poorer attention and slower response times, suggesting a potential neurophysiological origin of cancer-related cognitive decline.
Prestimulus Periodic and Aperiodic Neural Activity Shapes McGurk Perception
Vinsea A V Singh,Vinodh G Kumar,Arpan Banerjee -,Dipanjan Roy,Vinsea A V Singh,Vinodh G Kumar,Arpan Banerjee -,Dipanjan Roy,Vinsea A V Singh,Vinodh G Kumar,Arpan Banerjee -,Dipanjan Roy +11 more
Abstract: Previous studies emphasize the importance of prestimulus neural oscillations in shaping endogenous brain states that substantially impact perceptual outcomes. However, what features in such oscillations drive perception remains unknown. Furthermore, research has shown that non-oscillatory activity is also important for cognitive processing. However, their interaction prior to perceiving a multisensory stimulus remains unexplored. In this human EEG study ( n = 18, 10 males and 8 females), we investigated the role of prestimulus periodic power and aperiodic activity in modulating perception of the widely studied McGurk illusion on a trial-by-trial basis. Using logistic mixed-effects models, we reveal that the illusion perception is associated with reduced prestimulus alpha (8–12 Hz) and beta (15–30 Hz) power over frontal and occipital regions; increased theta (4–7 Hz) power in parietal, central, and occipital regions; and increased gamma (31–45 Hz) power across the scalp. Furthermore, lower aperiodic offset and exponent values in central, parietal, and occipital regions also predicted illusory responses. Our logistic mixed interaction models revealed that the aperiodic exponent and periodic power jointly influence the perception of upcoming McGurk stimuli. Specifically, a decrease in occipital theta and global beta power and an increase in occipital and parietal gamma power were associated with a steeper slope. We conclude that the predominant source of variations in the prestimulus state is the aperiodic activity and that fluctuations in both periodic and aperiodic activity account for inter-trial variability in the perception of the McGurk illusion.
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