Neural correlates of single- and dual-task walking in the real world

Article


Pizzamiglio, Sara, Naeem, U., Abdalla, H. and Turner, D. 2017. Neural correlates of single- and dual-task walking in the real world. Frontiers in Human Neuroscience. 11, p. Art 460. https://doi.org/10.3389/fnhum.2017.00460
AuthorsPizzamiglio, Sara, Naeem, U., Abdalla, H. and Turner, D.
Abstract

Recent developments in mobile brain-body imaging (MoBI) technologies have enabled studies of human locomotion where subjects are able to move freely in more ecologically valid scenarios. In this study, MoBI was employed to describe the behavioural and
neurophysiological aspects of three different commonly occurring walking conditions in healthy adults. The experimental conditions
were self-paced walking, walking while conversing with a friend and lastly walking while texting with a smartphone. We
hypothesised that gait performance would decrease with increased cognitive demands and that condition-specific neural activation
would involve condition-specific brain areas. Gait kinematics and high density electroencephalography were recorded whilst
walking around a university campus. Conditions with dual tasks were accompanied by decreased gait performance. Walking while
conversing was associated with an increase of theta ()
and beta (β) neural power in electrodes located over left‐frontal and
right parietal regions, whereas walking while texting was associated with a decrease of β neural power in a cluster of electrodes
over the frontal-premotor and sensorimotor cortices when compared to walking whilst conversing. In conclusion, the behavioural
‘signatures’ of common real-life activities performed outside the laboratory environment were accompanied by differing
frequency-specific neural ‘biomarkers’. The current findings encourage the study of the neural biomarkers of disrupted gait
control in neurologically impaired patients.

JournalFrontiers in Human Neuroscience
Journal citation11, p. Art 460
ISSN1662-5161
Year2017
PublisherFrontiers Media
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License
CC BY
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License
CC BY
Digital Object Identifier (DOI)https://doi.org/10.3389/fnhum.2017.00460
Web address (URL)https://doi.org/10.3389/fnhum.2017.00460
Publication dates
Print14 Sep 2017
Publication process dates
Deposited01 Sep 2017
Accepted01 Sep 2017
Accepted01 Sep 2017
Copyright information© 2017 the Authors. This Document is Protected by copyright and was first published by Frontiers.
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Naeem, U., Bigham, John and Wang, Jinfu 2007. Recognising Activities of Daily Life Using Hierarchical Plans. Proceedings of the 2nd European Conference on Smart Sensing and Context, LNCS 4793, Lake District, UK, 2007, pp. 175-189
A Hierarchal Approach to Activity Recognition in the Home Environment based on Object Usage
Naeem, U. and Bigham, John 2008. A Hierarchal Approach to Activity Recognition in the Home Environment based on Object Usage. Proceedings of the 2008 Networking and Electronic Commerce Research Conference (NAEC 2008), Lake Garda, Italy, 2008, pp. 48-54
Recognising Activities of Daily Life through the Usage of Everyday Objects around the Home
Naeem, U. and Bigham, John 2009. Recognising Activities of Daily Life through the Usage of Everyday Objects around the Home. Proceedings of the 3rd International Conference on Pervasive Computing Technologies for Healthcare. Technologies to Counter Cognitive Decline Workshop London
Activity Recognition using a Hierarchical Framework
Naeem, U. and Bigham, John 2008. Activity Recognition using a Hierarchical Framework. Proceedings of the 2nd International Conference on Pervasive Computing Technologies for Healthcare, Ambient Technologies for Diagnosing and Monitoring Chronic Patients Workshop, Tampere, Finland, 2008, IEEE pp. 24-27