Motor creativity assessment: A test-retest reliability and validity protocol study in fibromyalgia and healthy women

Abstract

IntroductionPrevious studies have found brain abnormalities and deficits in cognitive functions in people with fibromyalgia. It is known that choreography or creative tasks significantly generate cognitive improvements. Various methods have been described in the literature to evaluate creative activities using electroencephalography (EEG), such as the imagination of dance improvisations. However, there is the notion that creative solutions can emerge during the action and that creative motor action may reflect new, statistically rare, and adaptive coordination and/or the control solutions performed. AimThis study seeks to establish an operational approach to test how constraints are combined to induce variability of movement and how to evaluate it, but without forgetting the ideation or preparation of the activity as a relevant section in the study of motor creativity. To this end, this study aims to validate and test the reliability and applicability of an innovative test of motor creativity: The Motor Creativity Assessment (MCA), with the aim of achieving an objective score of motor creativity that can be used to test patients and monitor the interventions. Material and methodsto correctly satisfy the requirements of the standard protocol for clinical trials, this study has followed the SPIRIT 2013 Statement Items. A total of 13 women with fibromyalgia and 13 healthy women were included in the study. The individual's cognitive impairment, sleep quality, pain, quality of life, level of physical activity, fear of falling, and the impact of fibromyalgia will be studied. This study develops a specific test of motor creativity without the use of objects, with the aim of achieving an objective score of motor creativity. An observation score sheet allows motor creativity to be analyzed and scored by viewing a video of the creative movement test. The Enobio® instrument (Neuroelectrics, Cambridge, MA, USA) and Neuroelectrics® instrument driver software (NIC1) were used to record EEG and heart rate variability signals.