Action observation network in children with unilateral cerebral palsy: an fMRI study.
Laura Biagi1, Giuseppina Sgandurra1, Leonardo Fogassi2, Andrea Guzzetta1,3, Giovanni Cioni1,3, and Michela Tosetti1

1IRCCS Stella Maris, PISA, Italy, 2Department of Neuroscience, University of Parma, Parma, Italy, 3Department of Clinical and Experimental Medicine, University of Pisa, PISA, Italy

Synopsis

Mirror Neuron System (MNS) activation constitutes a powerful mechanism for recovery of motor deficits after stroke. We studied with fMRI the MNS (re)-organization in children with congenital unilateral cerebral palsy (UCP), using a goal-directed hand action stimulus. With respect to age-matched controls, UCP children present differences, appearing more lateralized to the dominant hemisphere as adults. The subject-specific pattern of lateralization seems related to the type and extension of the lesion and correlates negatively with the severity of the hand impairment. This paradigm might be useful to explore MNS in UCP and to monitor possible motor improvements in response to therapy.

Purpose

Neuroimaging studies in adults report activations of mirror neuron system (MNS) during a task of imitation learning1-3 and during rehabilitation treatment of motor functions after stroke4,5. This activation is also observed in stroke patients, showing a motor improvement following intensive training based on action observation6, suggesting that MNS activation constitutes a powerful mechanism for recovery of motor deficits after stroke. To our knowledge , only one fMRI study on action observation of a simple hand movement was conducted in brain damaged children7. We aimed to study the (re)-organization of MNS using as visual stimulus a goal-directed hand action in children with congenital unilateral cerebral palsy (UCP).

Methods

12 UCP children (age=11±3y) were studied: 4 with early malformative (type I), 4 with prenatal (type II) and 4 with connatal (type III) brain lesions8,9, all clinically tested with Melbourne Unilateral Upper-Limb assessement10 (MUUL). Data were compared with adult and children controls previously described11-13. Written informed consent, approved by IRB, was obtained for all subjects. MRI data were acquired using a 1.5T GE scanner, including a whole brain 3D FSPGR (isotropic voxel =1x1x1mm3) and a fMRI session with two series of 6’36’’ duration (GRE-EPI, TR/TE=3000/50, voxel=3.5x3.5x5mm3, 4 dummy scans). Each series was block-design structured with 16 blocks of 24s alternating between BASELINE and TASK conditions. Four TASK conditions were presented using videoclips of hand actions observed from a first person perspective: simple (S) or complex (C) actions performed by the dominant (d) or no-dominant (nd) hand (Sd,Snd,Cd,Cnd). Each functional series included 2 TASK blocks for each of the 4 hand actions, in a random order12. The BASELINE condition consisted in the still picture of the resting hands belonging to TASK videos. Data analysis was performed using BrainVoyager. Functional data were preprocessed (mean intensity adjustment, slice scan time correction, 3D motion correction and high-pass temporal filtering), aligned to the volumetric images and transformed into Talairach space. BOLD responses were analyzed using a GLM considering the regressor of interest (box-car function for each block convolved with hemodynamic response) and six spurious movement-regressors in order to generate statistical maps on the group (Random Effect Analysis, p<0.05 Bonferroni-corrected) and on each subject (Fixed effect Analysis, p<0.001 uncorrected). For each subject, a laterality index was calculated by the ratio of number of activated voxels in the dominant (Nd) and non-dominant (Nnd) hemispheres as follows: λ=(Nd–Nnd)/(Nd+Nnd). In UCP, we considered as non-dominant the hemisphere contralateral to the plegic limb.

Results

The group of UCP children showed activations in areas belonging to the action observation network12, as the age-matched controls (Figure 1). With respect to them, UCP children present an activated network more lateralized to the dominant hemisphere with differences related to the type, extension and location of the lesion. Regarding the single-subject lateralization, UCP children with early malformative (I) lesions have λ=0.31±0.12, those with prenatal (II) ones have λ=0.01±0.16, whilst UCP with connatal (III) lesions show a large variability (λ=0.02±0.49, range=-0.62÷0.56). Figure 2 shows the relation between λ values and the MUUL scores of all patients. The linear function (y=A+Bx) that best fits the relationship has A=1.15±0.58 and B=-0.013±0.007 (R2=0.17, p=0.10). Considering only type I and II, the best linear fit becomes highly significant with A=1.22±0.20 and B=-0.014±0.003 (R2=0.79, p=0.002).

Discussion

This study describes the action observation network in UCP children, using a goal-directed hand action stimulus. Previous works with the same paradigm have demonstrated that the network activated in the healthy children is more bilateral than that of adults group. However, children with UCP present differences in the (re)-organization of this system with respect to the age-matched control group: in general they appear more lateralized in the dominant hemisphere as the adults. Moreover, the specific pattern of lateralization of each patient seems related to the type and extension of lesion. In particular, the early malformative lesions are associated to activations more lateralized to the dominant hemisphere, presenting λ values similar to adult ones; the prenatal forms are more bilateral with λ values similar to age-matched controls; whilst the connatal forms are very variable, with the reorganization depending especially on the extension of the lesion. Finally, we found a negative correlation of λ values with the severity of the hand impairment assessed by MUUL.

Conclusion

These preliminary findings demonstrate that our paradigm might be useful to explore the mirror neuron function also in UCP children. Further investigation will be conducted in order to describe in details the re-organization process and to understand whether it could be used as an indicator of the response to therapy in subjects with brain damage and motor disorder.

Acknowledgements

No acknowledgement found.

References

1. Buccino G, Vogt s, Ritzl A et al. Neural Circuits Underlying Imitation Learning of Hand Actions: An Event-Related fMRI Study. Neuron, 2004; 42(2): 323–334.

2. Calvo-Merino b, Glaser DE, Grezes J et al. Action Observation and Acquired Motor Skills: An fMRI Study with Expert Dancers. Cereb Cortex, 2005; 15(8): 1243-1249.

3. Cross Es, Hamilton AF, Grafton. Building a motor simulation de novo: Observation of dance by dancers. Neuroimage, 2006; 31(3):1257-1267.

4. Johansen-Berg H, Dawes H, Guy C, et al. Correlation between motor improvements and altered fMRI activity after rehabilitative therapy. Brain, 2002; 125:2731-2742.

5. Nelles G, Jentzen W, Jueptner M et al. Arm training induced brain plasticity in stroke studied with serial positron emission tomography. Neuroimage, 2001; 13(6):1146-54.

6. Ertelt D, Small S, Solodkin A, et al. Action observation has a positive impact on rehabilitation of motor deficits after stroke. Neuroimage 2007, 36(Suppl 2):T164–73.

7. Dinomais M, Lignon G, Chinier E, et al. Effect of observation of simple hand movement on brain activations in patients with unilateral cerebral palsy: an fMRI study. Research in Developmental Disabilities 2013, 34:1928–1937.

8. Cioni G, Sales B, Paolicelli PB, et al. MRI and clinical characteristics of children with hemiplegic cerebral palsy. Neuropediatrics, 1999 Oct;30(5):249-55.

9. Krägeloh-Mann I, Cans C. Cerebral palsy update. Brain Dev. 2009 Aug;31(7):537-44.

10. Randall M, Johnson L, Reddihough D. The Melbourne Assessment of Unilateral Upper Limb Function: Test administration manual. Melbourne: Royal Children’s Hospital; 1999.

11. Biagi, L., Cioni, G., Fogassi, L., et al. Anterior intraparietal cortex codes complexity of observed hand movements. Brain Research Bulletin 2010, 81(4), 434-440. doi:10.1016/j.brainresbull.2009.12.002

12. Biagi L, Cioni G, Fogassi L, et al. Mirror neuron system during development: an fMRI study comparing children and adults. Developmental Science, epub 5 NOV 2015 | DOI: 10.1111/desc.12353.

13. Sgandurra G, Ferrari A, Cossu G, et al. Upper Limb Children Action-Observation Training (UP-CAT): a randomised controlled trial in hemiplegic cerebral palsy. BioMedCentral Neurol 2011;11:1–19.

Figures

Fig1. Functional maps of the action observation circuit in the group of UCP children (top) and of age-matched controls (bottom), for the contrast all TASKS > BASELINE. In the columns, the dominant hemispheres are represented on the left, and the non-dominant ones on the right.

Fig2. Scatter plot of the λ values respect to MUUL score. UCP children were labeled with the type of lesion: I early malformative (red circles); II prenatal (green squares); III connatal (blue triangles). Grey and pink areas represent the range of λ values of adult and children controls respectively.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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