The influence of merged muscle excitation modules on post-stroke hemiparetic walking performance.

BACKGROUND Post-stroke subjects with hemiparesis typically utilize a reduced number of modules or co-excited muscles compared to non-impaired controls, with at least one module resembling the merging of two or more non-impaired modules. In non-impaired walking, each module has distinct contributions to important biomechanical functions, and thus different merged module combinations post-stroke may result in different functional consequences. METHODS Three-dimensional forward dynamics simulations were developed for non-impaired controls and two groups of post-stroke hemiparetic subjects with different merged module combinations to analyze how paretic leg muscle contributions to body support, forward propulsion, mediolateral control and leg swing are altered. FINDINGS The potential of the plantarflexors to generate propulsion was impaired in both hemiparetic groups while the remaining functional consequences differed depending on which modules were merged. Paretic leg swing was impaired during pre-swing when Modules 1 (hip abductors and knee extensors during early stance), and 2 (plantarflexors during late stance) were merged and during late swing when Modules 1 and 4 (hamstrings during late swing into early stance) were merged. When Modules 1 and 4 were merged, body support during early stance was also impaired. INTERPRETATION These results suggest that improving plantarflexor ability to generate propulsion is critical during rehabilitation regardless of module composition. If Modules 1 and 2 are merged, then rehabilitation should also focus on improving paretic leg pre-swing whereas if Modules 1 and 4 are merged, then rehabilitation should also focus on improving early stance body support and late paretic leg swing.

[1]  Marcus G Pandy,et al.  Muscle coordination of mediolateral balance in normal walking. , 2010, Journal of biomechanics.

[2]  Yasin Y. Dhaher,et al.  Evidence of Abnormal Lower-Limb Torque Coupling After Stroke: An Isometric Study , 2008, Stroke.

[3]  F. Zajac,et al.  Muscle force redistributes segmental power for body progression during walking. , 2004, Gait & posture.

[4]  F. Lacquaniti,et al.  Five basic muscle activation patterns account for muscle activity during human locomotion , 2004, The Journal of physiology.

[5]  J Duysens,et al.  Abnormalities in the temporal patterning of lower extremity muscle activity in hemiparetic gait. , 2007, Gait & posture.

[6]  R. Neptune,et al.  Pre-swing deficits in forward propulsion, swing initiation and power generation by individual muscles during hemiparetic walking. , 2010, Journal of biomechanics.

[7]  F. Lacquaniti,et al.  Motor patterns in human walking and running. , 2006, Journal of neurophysiology.

[8]  Chitralakshmi K. Balasubramanian,et al.  Relationship between step length asymmetry and walking performance in subjects with chronic hemiparesis. , 2007, Archives of physical medicine and rehabilitation.

[9]  F. Zajac,et al.  Contributions of the individual ankle plantar flexors to support, forward progression and swing initiation during walking. , 2001, Journal of biomechanics.

[10]  T Limbird,et al.  Electromyographic gait assessment, Part 2: Preliminary assessment of hemiparetic synergy patterns. , 1987, Journal of rehabilitation research and development.

[11]  R. R. NEPTUNE,et al.  A Method for Numerical Simulation of Single Limb Ground Contact Events: Application to Heel-Toe Running , 2000, Computer methods in biomechanics and biomedical engineering.

[12]  Steven A. Kautz,et al.  Evaluation of Abnormal Synergy Patterns Poststroke: Relationship of the Fugl-Meyer Assessment to Hemiparetic Locomotion , 2010, Neurorehabilitation and neural repair.

[13]  Richard R Neptune,et al.  Merging of healthy motor modules predicts reduced locomotor performance and muscle coordination complexity post-stroke. , 2010, Journal of neurophysiology.

[14]  Lindsey J Turns,et al.  Relationships between muscle activity and anteroposterior ground reaction forces in hemiparetic walking. , 2007, Archives of physical medicine and rehabilitation.

[15]  JoAnne K. Gronley,et al.  Classification of walking handicap in the stroke population. , 1995, Stroke.

[16]  Seyed A Safavynia,et al.  Muscle Synergies: Implications for Clinical Evaluation and Rehabilitation of Movement. , 2011, Topics in spinal cord injury rehabilitation.

[17]  R R Neptune,et al.  Relationships between muscle contributions to walking subtasks and functional walking status in persons with post-stroke hemiparesis. , 2011, Clinical biomechanics.

[18]  William L. Goffe,et al.  SIMANN: FORTRAN module to perform Global Optimization of Statistical Functions with Simulated Annealing , 1992 .

[19]  J. Mcdonald,et al.  Spinal-cord injury , 2002, The Lancet.

[20]  E Knutsson,et al.  Different types of disturbed motor control in gait of hemiparetic patients. , 1979, Brain : a journal of neurology.

[21]  Richard R Neptune,et al.  Three-dimensional modular control of human walking. , 2012, Journal of biomechanics.

[22]  S. Simon,et al.  Gait Pattern in the Early Recovery Period after Stroke* , 1996, The Journal of bone and joint surgery. American volume.

[23]  Richard R Neptune,et al.  Modular control of human walking: a simulation study. , 2009, Journal of biomechanics.

[24]  Richard R Neptune,et al.  Step length asymmetry is representative of compensatory mechanisms used in post-stroke hemiparetic walking. , 2011, Gait & posture.

[25]  L. Menegaldo,et al.  Moment arms and musculotendon lengths estimation for a three-dimensional lower-limb model. , 2005, Journal of biomechanics.

[26]  F. Zajac,et al.  Muscle coordination of maximum-speed pedaling. , 1997, Journal of biomechanics.

[27]  F. Zajac Muscle and tendon: properties, models, scaling, and application to biomechanics and motor control. , 1989, Critical reviews in biomedical engineering.