Walking is generated by the interaction between neural rhythmic and physical activities. In fact, @entity191 ( @entity191 ), which is an example of disease, causes not only @entity2167 but also @entity717 . However, the relationship between @entity2167 and @entity717 has not been determined. The aim of this study was to identify the mechanism of gait rhythm generation. In former research, @entity2167 in @entity191 @entity1 ' walking were characterized by stride intervals, which are more variable and fluctuate randomly. The variability and fluctuation property were quantified using the coefficient of variation (CV) and scaling exponent a. Conversely, because walking is a dynamic process, @entity74 ( @entity74 ) is considered the best way to estimate @entity717 in walking. Therefore, we classified the severity of @entity74 using CV and a. Specifically, @entity191 @entity1 and healthy elderly were classified into three groups: no- @entity74 , mild- @entity74 , and obvious- @entity74 . We compared the contributions of CV and a to the accuracy of this classification. In this study, 45 @entity191 @entity1 and 17 healthy elderly @entity1 walked 200 m. The severity of @entity74 was determined using the modified Hoehn-Yahr scale (mH-Y). @entity1 with mH-Y scores of 2.5 and 3 had mild- @entity74 and obvious- @entity74 , respectively. As a result, CV differentiated no- @entity74 from @entity74 , indicating the correlation between CV and @entity74 . Considering that @entity74 is independent of neural rhythm generation, this result suggests the existence of feedback process from physical activities to neural rhythmic activities. Moreover, a differentiated obvious- @entity74 from mild- @entity74 . Considering a reflects the intensity of interaction between factors, this result suggests the change of the interaction. Therefore, the interaction between neural rhythmic and physical activities is thought to plays an important role for gait rhythm generation. These characteristics have potential to evaluate the symptoms of @entity191 .

Relationship between @entity2167 and @entity717 in XXXX @entity1 ' walking.

@entity1 :: ('9606', 'Species') :: ['patients', 'people', 'People'] @entity2167 :: ('MESH:D006311', 'Disease') :: ['neural rhythm generation disorders'] @entity191 :: ('MESH:D010300', 'Disease') :: ["Parkinson's disease", 'PD'] @entity74 :: ('MESH:D030342', 'Disease') :: ['postural reflex disorder', 'PRD'] @entity717 :: ('MESH:D009069', 'Disease') :: ['physical disabilities']
@entity191 :: (MESH:D010300,Disease) :: ['Parkinson's disease']
