Buscar

Estamos realizando la búsqueda. Por favor, espere...

 Detalle_Publicacion

Sensor-based gait analysis in the premotor stage of LRRK2 G2019S-associated Parkinson's disease

Abstract: Introduction There is a need for biomarkers to monitor the earliest phases of Parkinson's disease (PD), especially in premotor stages. Here, we studied whether there are early gait alterations in carriers of the G2019S mutation of LRRK2 that can be detected by means of an inertial sensor system. Methods Twenty-one idiopathic PD patients, 20 LRRK2-G2019S PD, 27 asymptomatic carriers of LRRK2-G2019S mutation (AsG2019S) and 36 controls walked equipped with 16 lightweight inertial sensors in three different experiments: i/normal gait, ii/fast gait and iii/dual-task gait. In the AsG2019S group, DaT-SPECT (123I-ioflupane) with semi-quantitative analysis was carried out. Motor and cognitive performance were evaluated using MDS-UPDRS-III and MoCA scales. We employed neural network techniques to classify individuals based on their walking patterns. Results PD patients and controls showed differences in speed, stride length and arm swing amplitude, variability and asymmetry in all three tasks (p < 0.01). In the AsG2019S group, the only differences were detected during fast walking, with greater step time on the non-dominant side (p < 0.05), lower step/stride time variability (p < 0.01) and lower step time asymmetry (p < 0.01). DaT uptake showed a significant correlation with step time during fast walking on the non-dominant side (r = ?0.52; p < 0.01). The neural network was able to differentiate between AsG2019S and healthy controls with an accuracy rate of 82.5%. Conclusion Our sensor-based analysis did not detect substantial and robust changes in the gait of LRRK2-G2019S asymptomatic mutation carriers. Nonetheless, step or stride time during fast walking, supported by the observed correlation with striatal DaT binding deserves consideration as a potential biomarker in future studies.

 Fuente: Parkinsonism & Related Disorders Volume 98, May 2022, Pages 21-26

Editorial: Elsevier

 Fecha de publicación: 01/05/2022

Nº de páginas: 6

Tipo de publicación: Artículo de Revista

 DOI: 10.1016/j.parkreldis.2022.03.020

ISSN: 1353-8020,1873-5126

Url de la publicación: https://doi.org/10.1016/j.parkreldis.2022.03.020

Autores/as

SÁNCHEZ RODRÍGUEZ, ANTONIO

DIANA SALAS GOMEZ

MARIO FERNANDEZ GORGOJO

Mª ISABEL MARTINEZ RODRIGUEZ

MARIA SIERRA PEÑA

ISABEL GONZALEZ ARAMBURU

GUTIÉRREZ-GONZÁLEZ, ÁNGELA

JOHANNES MARIO MEISSNER BLANCO

ANDRÉS-PACHECO, JAVIER

RIVERA-SÁNCHEZ, MARÍA

SÁNCHEZ-PELÁEZ, MARÍA VICTORIA

PASCUAL SANCHEZ JUAN