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https://hdl.handle.net/2142/115544
Description
Title
Dynamics of alpha power in multimodal processing
Author(s)
Clements, Grace Morgan
Issue Date
2022-04-14
Director of Research (if dissertation) or Advisor (if thesis)
Fabiani, Monica
Gratton, Gabriele
Doctoral Committee Chair(s)
Fabiani, Monica
Gratton, Gabriele
Committee Member(s)
Beck, Diane M
Sadaghiani, Sepideh
Keil, Andreas
Department of Study
Psychology
Discipline
Psychology
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
EEG alpha power
EEG theta power
Alpha suppression
Alpha enhancement
Multimodal processing
Resource competition
Selective attention
Preparatory period
Abstract
Alpha oscillations are one of the most, if not the most, prominent signals obtained from human electroencephalography (EEG). In fact, they were the first rhythmic pattern observed using EEG nearly 100 years ago and scientists have been uncovering whether and how they relate to brain and cognitive function ever since. Typically characterized as an ongoing ~10 Hz rhythm, most prominent over posterior scalp locations, alpha has repeatedly shown to be related to the visual modality, aiding sensory, perceptual, and cognitive processes. Particularly in the case of visual selective attention, alpha has been considered a mechanism which both selects newly formed visual representations and protects existing representations from interference through alpha suppression and alpha maintenance, respectively. However, there is growing evidence that alpha may also serve multimodal processes, in addition to visual ones, and this dissertation provides evidence for this assertion.
In Chapter 1, I provide a brief history of the research on the alpha rhythm and overview its engagement in visual, cross-modal, and auditory processing to motivate the investigation of alpha in multimodal contexts in subsequent chapters. In Chapters 2 and 3, I present a coordinated pair of studies which investigated the role of alpha in multimodal competition using an auditory task with the eyes open and closed, respectively enabling and disabling visual inputs in parallel with the incoming auditory stream. Results indicated that eye status and level of attentional engagement modulate alpha, which suggests that alpha may be involved in processing multimodal percepts and/or may emanate at least in part from multimodal cortical regions. In Chapter 4, alpha’s role in multimodal processing was investigated further by assessing alpha dynamics during bimodal selective attention, in which attention is allocated to either the visual or auditory stream while the eyes were open. Here, we found alpha engagement specific to visual attention processing is occipitally maximal and sustained over time, whereas general alpha engagement used in both visual and auditory attention processing is parietally maximal and occurs transiently.
Finally, Chapter 5 summarizes the results of the previous chapters and proposes several avenues for future endeavor. Overall, this work should encourage alpha researchers to widen the lens through which they view alpha oscillations to include the possibility that this preeminent brain rhythm may be a generalized mechanism used throughout the cortex to process information from multiple sensory streams.
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