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Prediction of collision events: an EEG coherence analysis

Spapé, Michiel M.; Serrien, Deborah J.

Authors

Michiel M. Spapé

Deborah J. Serrien deborah.serrien@nottingham.ac.uk



Abstract

Objective: A common daily-life task is the interaction with moving objects for which prediction of collision events is required. To evaluate the sources of information used in this process, this EEG study required participants to judge whether two moving objects would collide with one another or not. In addition, the effect of a distractor object is evaluated. Methods: The measurements included the behavioural decision time and accuracy, eye movement fixation times, and the neural dynamics which was determined by means of EEG coherence, expressing functional connectivity between brain areas. Results: Collision judgment involved widespread information processing across both hemispheres. When a distractor object was present, task-related activity was increased whereas distractor activity induced modulation of local sensory processing. Also relevant were the parietial regions communicating with bilateral occipital and midline areas and a left-sided sensorimotor circuit. Conclusions: Besides visual cues, cognitive and strategic strategies are used to establish a decision of events in time. When distracting information is introduced into the collision judgment process, it is managed at different processing levels and supported by distinct neural correlates.

Journal Article Type Article
Publication Date Jan 1, 2011
Journal Clinical Neurophysiology
Print ISSN 1388-2457
Electronic ISSN 1388-2457
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 122
Issue 5
APA6 Citation Spapé, M. M., & Serrien, D. J. (2011). Prediction of collision events: an EEG coherence analysis. Clinical Neurophysiology, 122(5), doi:10.1016/j.clinph.2011.01.047
DOI https://doi.org/10.1016/j.clinph.2011.01.047
Publisher URL http://www.sciencedirect.com/science/article/pii/S1388245711000976
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information NOTICE: this is the author’s version of a work that was accepted for publication in Clinical Neurophysiology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Clinical Neurophysiology, 122,5 (2011) doi:10.1016/j.clinph.2011.01.047

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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