https://jneuroengrehab.biomedcentral.com/articles/10.1186/s12984-018-0357-z
- Sara PizzamiglioEmail authorView ORCID ID profile,
- Hassan Abdalla,
- Usman Naeem and
- Duncan L. Turner
Journal of NeuroEngineering and Rehabilitation201815:11
© The Author(s). 2018
Received: 4 September 2017
Accepted: 16 February 2018
Published: 27 February 2018
Abstract
Background
Gait impairments during
real-world locomotion are common in neurological diseases. However, very
little is currently known about the neural correlates of walking in the
real world and on which regions of the brain are involved in regulating
gait stability and performance. As a first step to understanding how
neural control of gait may be impaired in neurological conditions such
as Parkinson’s disease, we investigated how regional brain activation
might predict walking performance in the urban environment and whilst
engaging with secondary tasks in healthy subjects.
Methods
We recorded gait
characteristics including trunk acceleration and brain activation in 14
healthy young subjects whilst they walked around the university campus
freely (single task), while conversing with the experimenter and while
texting with their smartphone. Neural spectral power density (PSD) was
evaluated in three brain regions of interest, namely the pre-frontal
cortex (PFC) and bilateral posterior parietal cortex (right/left PPC).
We hypothesized that specific regional neural activation would predict
trunk acceleration data obtained during the different walking
conditions.
Results
Vertical trunk acceleration
was predicted by gait velocity and left PPC theta (4–7 Hz) band PSD in
single-task walking (R-squared = 0.725, p = 0.001) and by gait velocity and left PPC alpha (8–12 Hz) band PSD in walking while conversing (R-squared = 0.727, p = 0.001).
Medio-lateral trunk acceleration was predicted by left PPC beta
(15–25 Hz) band PSD when walking while texting (R-squared = 0.434, p = 0.010).
Conclusions
We suggest that the left PPC
may be involved in the processes of sensorimotor integration and gait
control during walking in real-world conditions. Frequency-specific
coding was operative in different dual tasks and may be developed as
biomarkers of gait deficits in neurological conditions during
performance of these types of, now commonly undertaken, dual tasks.
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