Literature DB >> 33788612

Postural mechanisms in moderate-to-severe cerebral palsy.

Adam Goodworth1,2, Sandra Saavedra2.   

Abstract

People with moderate-to-severe cerebral palsy (CP) have the greatest need for postural control research yet are usually excluded from research due to deficits in sitting ability. We use a support system that allows us to quantify and model postural mechanisms in nonambulatory children with CP. A continuous external bench tilt stimulus was used to evoke trunk postural responses in seven sitting children with CP (ages 2.5 to 13 yr) in several test sessions. Eight healthy adults were also included. Postural sway was analyzed with root mean square (RMS) sway and RMS sway velocity, along with frequency response functions (FRF, gain and phase) and coherence functions across two different stimulus amplitudes. A feedback model (including sensorimotor noise, passive, reflexive, and sensory integration mechanisms) was developed to hypothesize how postural control mechanisms are organized and function. Experimental results showed large RMS sway, FRF gains, and variability compared with adults. Modeling suggested that many subjects with CP adopted "simple" control with major contributions from a passive and reflexive mechanism and only a small contribution from active sensory integration. In contrast, mature trunk postural control includes major contributions from sensory integration and sensory reweighting. Relative to their body size, subjects with CP showed significantly lower damping, three to five times larger corrective torque, and much higher sensorimotor noise compared with the healthy mature system. Results are the first characterization of trunk postural responses and the first attempt at system identification in moderate-to-severe CP, an important step toward developing and evaluating more targeted interventions.NEW & NOTEWORTHY Cerebral palsy (CP) is the most common cause of motor disability in children. People with moderate-to-severe CP are typically nonambulatory and have major impairments in trunk postural control. We present the first systems identification study to investigate postural responses to external stimulus in this population and hypothesize at how the atypical postural control system functions with use of a feedback model. People with moderate-to-severe CP may use a simple control system with significant sensorimotor noise.

Entities:  

Keywords:  cerebral palsy; feedback modeling; postural control; systems identification; trunk

Mesh:

Year:  2021        PMID: 33788612      PMCID: PMC8356763          DOI: 10.1152/jn.00549.2020

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  80 in total

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2.  Promotion of physical fitness and prevention of secondary conditions for children with cerebral palsy: section on pediatrics research summit proceedings.

Authors:  Eileen G Fowler; Thubi Ha Kolobe; Diane L Damiano; Deborah E Thorpe; Don W Morgan; Janice E Brunstrom; Wendy J Coster; Richard C Henderson; Kenneth H Pitetti; James H Rimmer; Jessica Rose; Richard D Stevenson
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3.  Children achieve adult-like sensory integration during stance at 12-years-old.

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Authors:  Peter L Rosenbaum; Stephen D Walter; Steven E Hanna; Robert J Palisano; Dianne J Russell; Parminder Raina; Ellen Wood; Doreen J Bartlett; Barbara E Galuppi
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6.  Effect of Segmental Trunk Support on Posture and Reaching in Children With Cerebral Palsy.

Authors:  Victor Santamaria; Jaya Rachwani; Sandra Saavedra; Marjorie Woollacott
Journal:  Pediatr Phys Ther       Date:  2016       Impact factor: 3.049

7.  Development of multisensory reweighting for posture control in children.

Authors:  Woei-Nan Bair; Tim Kiemel; John J Jeka; Jane E Clark
Journal:  Exp Brain Res       Date:  2007-07-31       Impact factor: 1.972

8.  Content validity of the expanded and revised Gross Motor Function Classification System.

Authors:  Robert J Palisano; Peter Rosenbaum; Doreen Bartlett; Michael H Livingston
Journal:  Dev Med Child Neurol       Date:  2008-10       Impact factor: 5.449

9.  Stimulus-dependent changes in the vestibular contribution to human postural control.

Authors:  Massimo Cenciarini; Robert J Peterka
Journal:  J Neurophysiol       Date:  2006-02-08       Impact factor: 2.714

10.  Adaptive visual re-weighting in children's postural control.

Authors:  Paula F Polastri; José A Barela
Journal:  PLoS One       Date:  2013-12-04       Impact factor: 3.240

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  1 in total

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  1 in total

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