Dustin R Grooms1, Jed A Diekfuss2, Jonathan D Ellis3, Weihong Yuan4,5, Jonathan Dudley5, Kim D Barber Foss2, Staci Thomas2, Mekibib Altaye6, Lacey Haas5, Brynne Williams5, John M Lanier5, Kaley Bridgewater5, Gregory D Myer2,4,7,8. 1. Ohio Musculoskeletal & Neurological Institute and Division of Athletic Training, School of Applied Health Sciences and Wellness, College of Health Sciences and Professions, Ohio University, Athens, OH. 2. the SPORT Center, Division of Sports Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH. 3. Department of Orthopaedics and Sports Medicine, University of Cincinnati, Cincinnati, OH. 4. College of Medicine, University of Cincinnati, Cincinnati, OH. 5. Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospital Medical Center, Cincinnati, OH. 6. Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH. 7. Departments of Pediatrics and Orthopaedic Surgery, College of Medicine, University of Cincinnati, Cincinnati, OH. 8. The Micheli Center for Sports Injury Prevention, Waltham, MA.
Abstract
BACKGROUND AND PURPOSE: The purpose of this study was to assess the consistency of a novel MR safe lower extremity motor control neuroimaging paradigm to elicit reliable sensorimotor region brain activity. METHODS: Participants completed multiple sets of unilateral leg presses combining ankle, knee, and hip extension and flexion movements against resistance at a pace of 1.2 Hz while lying supine in a 3T MRI scanner. Regions of Interest (ROI) consisted of regions primarily involved in lower extremity motor control (right and left primary motor cortex, primary somatosensory cortex, premotor cortex, secondary somatosensory cortex, basal ganglia, and the cerebellum). RESULTS: The group analysis based on mixed effects paired samples t-test revealed no differences for brain activity between sessions (P > .05). Intraclass correlation coefficients in the sensorimotor regions were good to excellent for average percent signal change (.621 to .918) and Z-score (.697 to .883), with the exception of the left secondary somatosensory cortex percent signal change (.165). CONCLUSIONS: These results indicate that a loaded lower extremity force production and attenuation task that simulates the range of motion of squatting, stepping, and landing from a jump is reliable for longitudinal neuroimaging applications and support the use of this paradigm in further studies examining therapeutic interventions and changes in dynamic lower extremity motor function.
BACKGROUND AND PURPOSE: The purpose of this study was to assess the consistency of a novel MR safe lower extremity motor control neuroimaging paradigm to elicit reliable sensorimotor region brain activity. METHODS:Participants completed multiple sets of unilateral leg presses combining ankle, knee, and hip extension and flexion movements against resistance at a pace of 1.2 Hz while lying supine in a 3T MRI scanner. Regions of Interest (ROI) consisted of regions primarily involved in lower extremity motor control (right and left primary motor cortex, primary somatosensory cortex, premotor cortex, secondary somatosensory cortex, basal ganglia, and the cerebellum). RESULTS: The group analysis based on mixed effects paired samples t-test revealed no differences for brain activity between sessions (P > .05). Intraclass correlation coefficients in the sensorimotor regions were good to excellent for average percent signal change (.621 to .918) and Z-score (.697 to .883), with the exception of the left secondary somatosensory cortex percent signal change (.165). CONCLUSIONS: These results indicate that a loaded lower extremity force production and attenuation task that simulates the range of motion of squatting, stepping, and landing from a jump is reliable for longitudinal neuroimaging applications and support the use of this paradigm in further studies examining therapeutic interventions and changes in dynamic lower extremity motor function.
Authors: Adam S Lepley; Dustin R Grooms; Julie P Burland; Steven M Davi; Jeffrey M Kinsella-Shaw; Lindsey K Lepley Journal: Exp Brain Res Date: 2019-03-09 Impact factor: 1.972
Authors: Jed A Diekfuss; Dustin R Grooms; Weihong Yuan; Jonathan Dudley; Kim D Barber Foss; Staci Thomas; Jonathan D Ellis; Daniel K Schneider; James Leach; Scott Bonnette; Gregory D Myer Journal: J Sci Med Sport Date: 2018-07-10 Impact factor: 4.319
Authors: Dustin R Grooms; Jed A Diekfuss; Cody R Criss; Manish Anand; Alexis B Slutsky-Ganesh; Christopher A DiCesare; Gregory D Myer Journal: PLoS One Date: 2022-08-11 Impact factor: 3.752
Authors: Manish Anand; Jed A Diekfuss; Scott Bonnette; Ian Short; Matthew Hurn; Dustin R Grooms; Gregory D Myer Journal: Int J Sports Phys Ther Date: 2020-12
Authors: Manish Anand; Jed A Diekfuss; Alexis B Slutsky-Ganesh; Dustin R Grooms; Scott Bonnette; Kim D Barber Foss; Christopher A DiCesare; Jennifer L Hunnicutt; Gregory D Myer Journal: J Neurosci Methods Date: 2021-03-08 Impact factor: 2.390
Authors: Jade D Doolittle; Ryan J Downey; Julia P Imperatore; Logan T Dowdle; Daniel H Lench; John McLeod; Daniel M McCalley; Chris M Gregory; Colleen A Hanlon Journal: Hum Brain Mapp Date: 2020-10-22 Impact factor: 5.038