4.7 Article

Dynamic spatiotemporal variability of alpha-BOLD relationships during the resting-state and task-evoked responses

Journal

NEUROIMAGE
Volume 155, Issue -, Pages 120-137

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2017.04.051

Keywords

Alpha oscillation; BOLD response; Dynamic connectivity; Spontaneous; Prestimulus

Funding

  1. Engineering and Physical Science Research Council (EPSRC) [APB EP/F023057/1, EP/J002909/1]
  2. EPSRC Fellowship [EP/I022325/1]
  3. Birmingham Fellowship
  4. EPSRC [EP/J002909/1, EP/I022325/1, EP/F023057/1] Funding Source: UKRI
  5. Engineering and Physical Sciences Research Council [EP/J002909/1, EP/F023057/1, EP/I022325/1] Funding Source: researchfish

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Accurate characterization of the spatiotemporal relationship between two of the most prominent neuroimaging measures of neuronal activity, the 8-13 Hz, occipito-parietal EEG alpha oscillation and the BOLD fMRI signal, must encompass the intrinsically dynamic nature of both alpha power and brain function. Here, during the eyesopen resting state, we use a 16 s sliding-window analysis and demonstrate that the mean spatial network of dynamic alpha-BOLD correlations is highly comparable to the static network calculated over six minutes. However, alpha-BOLD correlations showed substantial spatiotemporal variability within-subjects and passed through many different configurations such that the static network was fully represented in only similar to 10% of 16 s epochs, with visual and parietal regions (coherent on average) often opposingly correlated with each other or with alpha. We find that the common assumption of static-alpha BOLD correlations greatly oversimplifies temporal variation in brain network dynamics. Fluctuations in alpha-BOLD coupling significantly depended upon the instantaneous amplitude of alpha power, and primary and lateral visual areas were most strongly negatively correlated with alpha during different alpha power states, possibly suggesting the action of multiple alpha mechanisms. Dynamic alpha-BOLD correlations could not be explained by eye-blinks/movements, head motion or non-neuronal physiological variability. Individual's mean alpha power and frequency were found to contribute to between-subject variability in alpha-BOLD correlations. Additionally, application to a visual stimulation dataset showed that dynamic alpha-BOLD correlations provided functional information pertaining to the brain's response to stimulation by exhibiting spatiotemporal fluctuations related to variability in the trial-by-trial BOLD response magnitude. Significantly weaker visual alpha-BOLD correlations were found both preceding and following small amplitude BOLD response trials compared to large response trials.

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