Редактирование: GRP

Gastrin-releasing peptide precursor (GRP) [Contains: Neuromedin-C (GRP-10)]

==Publications==

{{medline-entry
|title=A new approach to quantifying the EEG during walking: Initial evidence of gait related potentials and their changes with aging and dual tasking.
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/31449852
|abstract=The electroencephalogram (EEG) can be a useful tool to investigate the neurophysiology of gait during walking. Our aims were to develop an approach that identify and quantify event related potentials (ERPs) during a gait cycle and to examine the effects of aging and dual tasking on these gait related potentials ([[GRP]]s). 10 young and 10 older adults walked on a treadmill while wearing a wireless 20-channels EEG and accelerometers on the ankles. Each heel strike extracted from the accelerometers was used as an event to which the electrical brain activity pattern was locked. The subjects performed usual and dual task walking that included an auditory oddball task. [[GRP]]s amplitude and latency were computed, and a new measure referred to as Amplitude Pattern Consistency ([[APC]]) was developed to quantify the consistency of these [[GRP]] amplitudes within a gait cycle. The results were compared between and within groups using linear mixed model analysis. The electrical pattern during a gait cycle consisted of two main positive [[GRP]]s. Differences in these [[GRP]]s between young and older adults were observed in Pz and Cz. In Pz, older adults had higher [[GRP]]s amplitude (p = 0.006, p = 0.010), and in Cz lower [[APC]] (p = 0.025). Alterations were also observed between the walking tasks. Both groups showed shorter latency during oddball walking compared to usual walking in Cz (p = 0.040). In addition, the [[APC]] in Cz was correlated with gait speed (r = 0.599, p = 0.011) in all subjects and with stride time variability in the older adults (r = -0.703, p = 0.023). This study is the first to define specific gait related potentials within a gait cycle using novel methods for quantifying waveforms. Our findings show the potential of this approach to be applied broadly to study the EEG during gait in a variety of contexts. The observed changes in [[GRP]]s with aging and walking task and the relationship between [[GRP]]s and gait may suggest the neurophysiologic foundation for studying walking and for developing new approaches for improving gait.
|mesh-terms=* Accelerometry
* Adult
* Aged
* Aging
* Electroencephalography
* Evoked Potentials
* Exercise Test
* Female
* Gait
* Humans
* Male
* Middle Aged
* Multitasking Behavior
* Reaction Time
* Walking
|keywords=* Dual task
* EEG
* Gait cycle
* Gait related potentials (GRP)
|full-text-url=https://sci-hub.do/10.1016/j.exger.2019.110709
}}