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J Physiol 588.22 (2010) p 4341 4341 PERSPECTIVES Changing our thinking about walking Jonathan Norton Divisions of Pediatric Surgery and Neurosurgery, Department of Surgery & Centre for Neuroscience, University of Alberta, Edmonton, Alberta, Canada Email: [email protected] The act of walking seems so simple when we perform it; we just put one leg in front of the other, and most of us are able to do other things at the same time. Watching children who are learning to walk, however, provides us with some insights into how complicated the whole process is and the tremendous level of sensori-motor integration required for safe walking. For a number of years we have known that infants can step on a moving treadmill belt before they can walk independently (Yang & Gorassini, 2006). Adults with complete spinal cord injuries can also be trained to step on a moving treadmill belt (Yang & Gorassini, 2006) and this has provided some of the strongest evidence to date for the existence of human spinal central pattern generators (Dietz, 2003). However, for over-ground walking a spinal pattern generator does not appear to be sufficient. Supraspinal control is needed to provide both the drive for locomotion as well as the coordination to negotiate a complex environment. In this issue of The Journal of Physiology , Petersen et al . (2010) describe a series of recordings made on children while they walk on a treadmill at a self-selected pace and while they perform a static ankle dorsiflexion. Using the technique of intramuscular coherence they examined changes in common drive from the motor cortex to the tibialis anterior muscle. This method is an elegant approach to studying nervous system function. Surface EMG recordings that are entirely non-invasive can be used to obtain information concerning the neural drive that produces an action. Most commonly, recordings for coherence analysis have been made from pairs of muscles, such as in our study of incomplete spinal cord-injured subjects (Norton & Gorassini, 2006). Recordings from two sites of the same muscle, as used in this study of children, are more suited to this analysis than pairs of muscles. Neural drive to two portions of a muscle is likely to be higher than to two independent muscles, even if they act synergistically. Care must be taken to avoid cross-talk between the electrode pairs but this group have previously shown techniques that avoid this problem (Hansen et al. 2005). Although many techniques exist for assessing the neural control of movement, such as reflex studies and motor-evoked potentials, a big advantage of the coherence approach is that it does not perturb the system. This method assesses the control of the movement as it happens, rather than the prior state or readiness of the system (Nielsen, 2002). There are shortcomings, however; in particular we are left to wonder about the remaining non-coherent activity. How much is lost as an artifact of the analysis technique and how much represents non-coherent neural drive is uncertain. We do not know the true maximum coherence if all drive came from a single cortico- spinal origin. For instance, at 24 Hz the highest level of coherence is well under 0.5 and in many instances and frequencies the coherence is below 0.1, potentially leaving up to 90% of the drive at that frequency of unknown origin. What is remarkable in the study by Petersen et al . (2010) is the relationship between the age of the subject and the coherence in the β-band during static contractions and γ-band during walking. These clear age-related differences indicate that the neural drive to the movement changes with age and could be considered as a marker for skill level in these relatively young children. By kinematic measures, these children appeared to have increased their skill level, as evidenced by reduced movement variability. Previous studies have shown changes in coherence with visuo-motor skill learning for this muscle (Perez et al. 2006) and others (Semmler et al. 2004). Changes in motor unit synchrony during development have also been reported (James et al. 2008) but this is the first study to examine the changes during a functional, lower-limb task such as walking without overt motor training. It is yet to be determined whether the developmental increase in coherence relates to a maturation of functional coordination within the corticospinal tract or this neural drive displacing non-cortical drive to the muscle. References Dietz V (2003). Clin Neurophysiol 114, 1379–1389. Hansen NL, Conway BA, Halliday DM, Hansen S, Pyndt HS, Biering-Sorensen F & Nielsen JB (2005). J Neurophysiol 94, 934–942. James LM, Halliday DM, Stephens JA & Farmer SF (2008). Eur J Neurosci 27, 3369–3379. Nielsen JB (2002). Brain Res Rev 40, 192–201. Norton JA & Gorassini MA (2006). J Neurophysiol 95, 2580–2589. Perez MA, Lundbye-Jensen J & Nielsen JB (2006). J Physiol 573, 843–855. Petersen TH, Kliim-Due M, Farmer SF & Nielsen JB (2010). J Physiol 588, 4387–4400. Semmler JG, Sale MV, Meyer FG & Nordstrom MA (2004). J Neurophysiol 92, 3320–3331. Yang JF & Gorassini M (2006). Neuroscientist 12, 379–389. C 2010 The Author. Journal compilation C 2010 The Physiological Society DOI: 10.1113/jphysiol.2010.200204

Changing our thinking about walking

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J Physiol 588.22 (2010) p 4341 4341

PERSPECT IVES

Changing our thinking aboutwalking

Jonathan NortonDivisions of Pediatric Surgery andNeurosurgery, Department of Surgery &Centre for Neuroscience, University ofAlberta, Edmonton, Alberta, Canada

Email: [email protected]

The act of walking seems so simple when weperform it; we just put one leg in front of theother, and most of us are able to do otherthings at the same time. Watching childrenwho are learning to walk, however, providesus with some insights into how complicatedthe whole process is and the tremendouslevel of sensori-motor integration requiredfor safe walking.

For a number of years we have known thatinfants can step on a moving treadmill beltbefore they can walk independently (Yang& Gorassini, 2006). Adults with completespinal cord injuries can also be trainedto step on a moving treadmill belt (Yang& Gorassini, 2006) and this has providedsome of the strongest evidence to datefor the existence of human spinal centralpattern generators (Dietz, 2003). However,for over-ground walking a spinal patterngenerator does not appear to be sufficient.Supraspinal control is needed to provideboth the drive for locomotion as well asthe coordination to negotiate a complexenvironment.

In this issue of The Journal of Physiology,Petersen et al. (2010) describe a series ofrecordings made on children while theywalk on a treadmill at a self-selectedpace and while they perform a staticankle dorsiflexion. Using the techniqueof intramuscular coherence they examinedchanges in common drive from the motor

cortex to the tibialis anterior muscle. Thismethod is an elegant approach to studyingnervous system function. Surface EMGrecordings that are entirely non-invasive canbe used to obtain information concerningthe neural drive that produces an action.Most commonly, recordings for coherenceanalysis have been made from pairs ofmuscles, such as in our study of incompletespinal cord-injured subjects (Norton &Gorassini, 2006). Recordings from two sitesof the same muscle, as used in this studyof children, are more suited to this analysisthan pairs of muscles. Neural drive to twoportions of a muscle is likely to be higherthan to two independent muscles, even ifthey act synergistically. Care must be takento avoid cross-talk between the electrodepairs but this group have previously showntechniques that avoid this problem (Hansenet al. 2005).

Although many techniques exist forassessing the neural control of movement,such as reflex studies and motor-evokedpotentials, a big advantage of the coherenceapproach is that it does not perturb thesystem. This method assesses the control ofthe movement as it happens, rather thanthe prior state or readiness of the system(Nielsen, 2002). There are shortcomings,however; in particular we are left to wonderabout the remaining non-coherent activity.How much is lost as an artifact of theanalysis technique and how much representsnon-coherent neural drive is uncertain. Wedo not know the true maximum coherenceif all drive came from a single cortico-spinal origin. For instance, at 24 Hz thehighest level of coherence is well under 0.5and in many instances and frequencies thecoherence is below 0.1, potentially leavingup to 90% of the drive at that frequency ofunknown origin.

What is remarkable in the study by Petersenet al. (2010) is the relationship betweenthe age of the subject and the coherence

in the β-band during static contractionsand γ-band during walking. These clearage-related differences indicate that theneural drive to the movement changes withage and could be considered as a marker forskill level in these relatively young children.By kinematic measures, these childrenappeared to have increased their skill level, asevidenced by reduced movement variability.Previous studies have shown changes incoherence with visuo-motor skill learningfor this muscle (Perez et al. 2006) and others(Semmler et al. 2004). Changes in motorunit synchrony during development havealso been reported (James et al. 2008) butthis is the first study to examine the changesduring a functional, lower-limb task suchas walking without overt motor training.It is yet to be determined whether thedevelopmental increase in coherence relatesto a maturation of functional coordinationwithin the corticospinal tract or this neuraldrive displacing non-cortical drive to themuscle.

References

Dietz V (2003). Clin Neurophysiol 114,1379–1389.

Hansen NL, Conway BA, Halliday DM, HansenS, Pyndt HS, Biering-Sorensen F & Nielsen JB(2005). J Neurophysiol 94, 934–942.

James LM, Halliday DM, Stephens JA & FarmerSF (2008). Eur J Neurosci 27, 3369–3379.

Nielsen JB (2002). Brain Res Rev 40, 192–201.Norton JA & Gorassini MA (2006).

J Neurophysiol 95, 2580–2589.Perez MA, Lundbye-Jensen J & Nielsen JB

(2006). J Physiol 573, 843–855.Petersen TH, Kliim-Due M, Farmer SF &

Nielsen JB (2010). J Physiol 588,4387–4400.

Semmler JG, Sale MV, Meyer FG & NordstromMA (2004). J Neurophysiol 92, 3320–3331.

Yang JF & Gorassini M (2006). Neuroscientist 12,379–389.

C© 2010 The Author. Journal compilation C© 2010 The Physiological Society DOI: 10.1113/jphysiol.2010.200204