Literature DB >> 33705853

Integrated 3D motion analysis with functional magnetic resonance neuroimaging to identify neural correlates of lower extremity movement.

Manish Anand1, Jed A Diekfuss2, Alexis B Slutsky-Ganesh3, Dustin R Grooms4, Scott Bonnette5, Kim D Barber Foss6, Christopher A DiCesare5, Jennifer L Hunnicutt7, Gregory D Myer8.   

Abstract

BACKGROUND: To better understand the neural drivers of aberrant motor control, methods are needed to identify whole brain neural correlates of isolated joints during multi-joint lower-extremity coordinated movements. This investigation aimed to identify the neural correlates of knee kinematics during a unilateral leg press task. NEW
METHOD: The current study utilized an MRI-compatible motion capture system in conjunction with a lower extremity unilateral leg press task during fMRI. Knee joint kinematics and brain activity were collected concurrently and averaged range of motion were modeled as covariates to determine the neural substrates of knee out-of-plane (frontal) and in-plane (sagittal) range of motion.
RESULTS: Increased out-of-plane (frontal) range of motion was associated with altered brain activity in regions important for attention, sensorimotor control, and sensorimotor integration (z >3.1, p < .05), but no such correlates were found with in-plane (sagittal) range of motion (z >3.1, p > .05). Comparison with Existing Method(s): Previous studies have either presented overall brain activation only, or utilized biomechanical data collected outside MRI in a standard biomechanics lab for identifying single-joint neural correlates.
CONCLUSIONS: The study shows promise for the MRI-compatible system to capture lower-extremity biomechanical data collected concurrently during fMRI, and the present data identified potentially unique neural drivers of aberrant biomechanics. Future research can adopt these methods for patient populations with CNS-related movement disorders to identify single-joint kinematic neural correlates that may adjunctively supplement brain-body therapeutic approaches.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ACL; Knee biomechanics; Motion capture; Neural correlates; fMRI

Mesh:

Year:  2021        PMID: 33705853      PMCID: PMC8488530          DOI: 10.1016/j.jneumeth.2021.109108

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  63 in total

1.  A joint coordinate system for the clinical description of three-dimensional motions: application to the knee.

Authors:  E S Grood; W J Suntay
Journal:  J Biomech Eng       Date:  1983-05       Impact factor: 2.097

2.  Biomechanical measures during landing and postural stability predict second anterior cruciate ligament injury after anterior cruciate ligament reconstruction and return to sport.

Authors:  Mark V Paterno; Laura C Schmitt; Kevin R Ford; Mitchell J Rauh; Gregory D Myer; Bin Huang; Timothy E Hewett
Journal:  Am J Sports Med       Date:  2010-08-11       Impact factor: 6.202

3.  Alterations in knee sensorimotor brain functional connectivity contributes to ACL injury in male high-school football players: a prospective neuroimaging analysis.

Authors:  Jed A Diekfuss; Dustin R Grooms; Katharine S Nissen; Daniel K Schneider; Kim D Barber Foss; Staci Thomas; Scott Bonnette; Jonathan A Dudley; Weihong Yuan; Danielle L Reddington; Jonathan D Ellis; James Leach; Michael Gordon; Craig Lindsey; Ken Rushford; Carlee Shafer; Gregory D Myer
Journal:  Braz J Phys Ther       Date:  2019-07-17       Impact factor: 3.377

4.  Brain-Behavior Mechanisms for the Transfer of Neuromuscular Training Adaptions to Simulated Sport: Initial Findings From the Train the Brain Project.

Authors:  Dustin R Grooms; Adam W Kiefer; Michael A Riley; Jonathan D Ellis; Staci Thomas; Katie Kitchen; Christopher A DiCesare; Scott Bonnette; Brooke Gadd; Kim D Barber Foss; Weihong Yuan; Paula Silva; Ryan Galloway; Jed A Diekfuss; James Leach; Kate Berz; Gregory D Myer
Journal:  J Sport Rehabil       Date:  2018-09-03       Impact factor: 1.931

5.  Changes in Brain Structure and Activation May Augment Abnormal Movement Patterns: An Emerging Challenge in Musculoskeletal Rehabilitation.

Authors:  Sheri P Silfies; Jennifer M C Vendemia; Paul F Beattie; Jill Campbell Stewart; Max Jordon
Journal:  Pain Med       Date:  2017-11-01       Impact factor: 3.750

6.  VALIDITY OF AN MRI-COMPATIBLE MOTION CAPTURE SYSTEM FOR USE WITH LOWER EXTREMITY NEUROIMAGING PARADIGMS.

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

7.  Brain activation associated with active and passive lower limb stepping.

Authors:  Lukas Jaeger; Laura Marchal-Crespo; Peter Wolf; Robert Riener; Lars Michels; Spyros Kollias
Journal:  Front Hum Neurosci       Date:  2014-10-28       Impact factor: 3.169

8.  A new paradigm shift in musculoskeletal rehabilitation: why we should exercise the brain?

Authors:  Susan Armijo-Olivo
Journal:  Braz J Phys Ther       Date:  2017-12-11       Impact factor: 3.377

9.  Multicenter trial of motion analysis for injury risk prediction: lessons learned from prospective longitudinal large cohort combined biomechanical - epidemiological studies.

Authors:  Timothy E Hewett; Benjamin Roewer; Kevin Ford; Greg Myer
Journal:  Braz J Phys Ther       Date:  2015-10-06       Impact factor: 3.377

10.  Differentiation in Theta and Beta Electrocortical Activity between Visual and Physical Perturbations to Walking and Standing Balance.

Authors:  Steven M Peterson; Daniel P Ferris
Journal:  eNeuro       Date:  2018-08-13
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  2 in total

1.  Preliminary brain-behavioral neural correlates of anterior cruciate ligament injury risk landing biomechanics using a novel bilateral leg press neuroimaging paradigm.

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

2.  A 2D qualitative movement assessment of a deceleration task detects football players with high knee joint loading.

Authors:  Stefano Di Paolo; Stefano Zaffagnini; Filippo Tosarelli; Fabrizio Aggio; Laura Bragonzoni; Alberto Grassi; Francesco Della Villa
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2021-09-04       Impact factor: 4.342

  2 in total

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