Prediction of collision events: an EEG coherence analysis

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...

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Main Authors: Spapé, Michiel M., Serrien, Deborah J.
Format: Article
Published: Elsevier 2011
Online Access:https://eprints.nottingham.ac.uk/1604/
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author Spapé, Michiel M.
Serrien, Deborah J.
author_facet Spapé, Michiel M.
Serrien, Deborah J.
author_sort Spapé, Michiel M.
building Nottingham Research Data Repository
collection Online Access
description 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.
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spelling nottingham-16042020-05-04T20:24:35Z https://eprints.nottingham.ac.uk/1604/ Prediction of collision events: an EEG coherence analysis Spapé, Michiel M. Serrien, Deborah J. 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. Elsevier 2011 Article PeerReviewed Spapé, Michiel M. and Serrien, Deborah J. (2011) Prediction of collision events: an EEG coherence analysis. Clinical Neurophysiology, 122 (5). pp. 891-896. ISSN 1388-2457 http://www.sciencedirect.com/science/article/pii/S1388245711000976 doi:10.1016/j.clinph.2011.01.047 doi:10.1016/j.clinph.2011.01.047
spellingShingle Spapé, Michiel M.
Serrien, Deborah J.
Prediction of collision events: an EEG coherence analysis
title Prediction of collision events: an EEG coherence analysis
title_full Prediction of collision events: an EEG coherence analysis
title_fullStr Prediction of collision events: an EEG coherence analysis
title_full_unstemmed Prediction of collision events: an EEG coherence analysis
title_short Prediction of collision events: an EEG coherence analysis
title_sort prediction of collision events: an eeg coherence analysis
url https://eprints.nottingham.ac.uk/1604/
https://eprints.nottingham.ac.uk/1604/
https://eprints.nottingham.ac.uk/1604/