Modulation of gait inter-limb coordination in children with unilateral spastic cerebral palsy after intensive upper extremity intervention

Sidiropoulos, Alexis; Chen, Siyun; Kaminski, Terry R.; Gordon, Andrew M.

doi:10.1007/s00221-019-05501-6

Cited by 8 publications

(6 citation statements)

References 30 publications

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“…Both less affected and more affected sides demonstrate substantially altered arm postures and movements in children with unilateral CP, associated with spasticity, balance control and other contributing factors. Given that human bipedal walking shares many features with that in quadrupeds, including similar regulation and coordination of upper and lower limb movements by central pattern generators and sensory feedback (Zehr and Duysens, 2004;Sylos-Labini et al, 2014;Solopova et al, 2016), lost or compromised arm movements in children with CP support the idea of including appropriate arm activity as a component of gait training after neurotrauma (Zehr et al, 2016;Bleyenheuft et al, 2017;Sidiropoulos et al, 2019). Thus, assessing upper limb function comprehensively is also important for planning and evaluating neurorehabilitative interventions.…”

Section: Gait Impairments In Cpmentioning

confidence: 99%

Maturation of the Locomotor Circuitry in Children With Cerebral Palsy

Cappellini

Sylos-Labini

Dewolf

et al. 2020

Front. Bioeng. Biotechnol.

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The first years of life represent an important phase of maturation of the central nervous system, processing of sensory information, posture control and acquisition of the locomotor function. Cerebral palsy (CP) is the most common group of motor disorders in childhood attributed to disturbances in the fetal or infant brain, frequently resulting in impaired gait. Here we will consider various findings about functional maturation of the locomotor output in early infancy, and how much the dysfunction of gait in children with CP can be related to spinal neuronal networks vs. supraspinal dysfunction. A better knowledge about pattern generation circuitries in infancy may improve our understanding of developmental motor disorders, highlighting the necessity for regulating the functional properties of abnormally developed neuronal locomotor networks as a target for early sensorimotor rehabilitation. Various clinical approaches and advances in biotechnology are also considered that might promote acquisition of the locomotor function in infants at risk for locomotor delays.

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Section: Gait Impairments In Cpmentioning

confidence: 99%

Maturation of the Locomotor Circuitry in Children With Cerebral Palsy

Cappellini

Sylos-Labini

Dewolf

et al. 2020

Front. Bioeng. Biotechnol.

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“…Studies examining arm use have often used wrist-based sensors to record kinematics during unimanual and bimanual tasks [ 27 , 28 , 34 , 37 ]. The use of two sensors allows for the calculation of an arm use ratio thus the examination of changes in arm function during recovery or over the rehabilitation process.…”

Section: Discussionmentioning

confidence: 99%

Quantifying intra- and interlimb use during unimanual and bimanual tasks in persons with hemiparesis post-stroke

Duff

Miller

Quinn

et al. 2022

J NeuroEngineering Rehabil

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Background Individuals with hemiparesis post-stroke often have difficulty with tasks requiring upper extremity (UE) intra- and interlimb use, yet methods to quantify both are limited. Objective To develop a quantitative yet sensitive method to identify distinct features of UE intra- and interlimb use during task performance. Methods Twenty adults post-stroke and 20 controls wore five inertial sensors (wrists, upper arms, sternum) during 12 seated UE tasks. Three sensor modalities (acceleration, angular rate of change, orientation) were examined for three metrics (peak to peak amplitude, time, and frequency). To allow for comparison between sensor data, the resultant values were combined into one motion parameter, per sensor pair, using a novel algorithm. This motion parameter was compared in a group-by-task analysis of variance as a similarity score (0–1) between key sensor pairs: sternum to wrist, wrist to wrist, and wrist to upper arm. A use ratio (paretic/non-paretic arm) was calculated in persons post-stroke from wrist sensor data for each modality and compared to scores from the Adult Assisting Hand Assessment (Ad-AHA Stroke) and UE Fugl-Meyer (UEFM). Results A significant group × task interaction in the similarity score was found for all key sensor pairs. Post-hoc tests between task type revealed significant differences in similarity for sensor pairs in 8/9 comparisons for controls and 3/9 comparisons for persons post stroke. The use ratio was significantly predictive of the Ad-AHA Stroke and UEFM scores for each modality. Conclusions Our algorithm and sensor data analyses distinguished task type within and between groups and were predictive of clinical scores. Future work will assess reliability and validity of this novel metric to allow development of an easy-to-use app for clinicians.

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“…Studies examining UE intra-and interlimb coordination have often used wrist-based sensors to record kinematics during arm movement. [27][28][29][30] The use of two sensors allows for the calculation of an arm use ratio allowing the examination of changes in arm function during recovery or over the rehabilitation process. The relationship between the use ratio (based on the integral of sensor modalities) and the UEFM found in this study is consistent with existing literature, 27,31,32 suggesting that the tasks we used are representative of functional tasks known to be sensitive to post-stroke impairment and function.…”

Section: Discussionmentioning

confidence: 99%

Quantifying Intra- and Interlimb Coordination in Persons With Hemiparesis Post-stroke

Duff¹,

Miller²,

Quinn³

et al. 2021

Preprint

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BackgroundIndividuals with hemiparesis post-stroke often have difficulty with tasks requiring upper extremity (UE) intra- and interlimb coordination, yet methods to quantify both are limited. Objective: To develop a quantitative yet sensitive method to identify distinct features of UE intra- and interlimb coordination. MethodsTwenty adults post-stroke and 20 controls wore five inertial sensors (wrists, upper arms, sternum) during 12 seated UE tasks. Three sensor modalities (acceleration, angular rate of change, orientation) were examined for three metrics (peak to peak amplitude, time, and frequency). To allow for comparison between sensor data, the resultant values were combined into one motion parameter, per sensor pair, using a novel algorithm. This motion parameter was compared in a group-by-task analysis of variance as a similarity score (0-1) between key sensor pairs: sternum to wrist, wrist to wrist, and wrist to upper arm. A use ratio (paretic/non-paretic arm) was calculated in persons post-stroke from wrist sensor data for each modality and compared to scores from the Adult Assisting Hand Assessment (Ad-AHA Stroke) and UE Fugl-Meyer (UEFM). ResultsA significant group x task interaction in the similarity score was found for all key sensor pairs. Post-hoc tests between task type revealed significant differences in similarity for sensor pairs in 8/9 comparisons for controls and 3/9 comparisons for persons post stroke. The use ratio was significantly predictive of the Ad-AHA Stroke and UEFM scores for each modality. ConclusionsOur algorithm and sensor data analyses distinguished task type within and between groups and were predictive of clinical scores. Future work will assess reliability and validity of this novel metric to allow development of an easy-to-use app for clinicians.

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Modulation of gait inter-limb coordination in children with unilateral spastic cerebral palsy after intensive upper extremity intervention

Cited by 8 publications

References 30 publications

Maturation of the Locomotor Circuitry in Children With Cerebral Palsy

Maturation of the Locomotor Circuitry in Children With Cerebral Palsy

Quantifying intra- and interlimb use during unimanual and bimanual tasks in persons with hemiparesis post-stroke

Quantifying Intra- and Interlimb Coordination in Persons With Hemiparesis Post-stroke

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