B. Besteher, C. Gaser, R. Spalthoff, and I. Nenadic, Associations between urban upbringing and cortical thickness and gyrification, Journal of psychiatric research, vol.95, pp.114-120, 2017.

J. P. Boardman, V. Ganesan, M. A. Rutherford, D. E. Saunders, E. Mercuri et al., Magnetic resonance image correlates of hemiparesis after neonatal and childhood middle cerebral artery stroke, Pediatrics, vol.115, pp.321-326, 2005.

S. Chabrier, E. Peyric, L. Drutel, J. Deron, M. Kossorotoff et al., , 2016.

, Multimodal Outcome at 7 Years of Age after Neonatal Arterial Ischemic Stroke, The Journal of Pediatrics, vol.172, pp.156-161

A. M. Dale, B. Fischl, and M. I. Sereno, Cortical surface-based analysis: I. segmentation and surface reconstruction, Neuroimage, vol.9, pp.179-194, 1999.

V. Darmency-stamboul, A. Cordier, and S. Chabrier, Neonatal arterial ischemic stroke in term or near-term newborns: prevalence and risk factors, vol.24, pp.9-12, 2017.

, , pp.30325-30326

M. Dinomais, L. Hertz-pannier, S. Groeschel, S. Chabrier, M. Delion et al., Long term motor function after neonatal stroke: Lesion localization above all, & AVCnn Study Group, vol.36, pp.4793-4807, 2015.

M. Dinomais, L. Hertz-pannier, S. Groeschel, M. Delion, B. Husson et al., & AVCnn Study Group. Does Contralesional Hand Function After Neonatal Stroke Only Depend on Lesion Characteristics?, Stroke, vol.47, pp.1647-1650

T. Domi, G. Deveber, M. Shroff, E. Kouzmitcheva, D. L. Macgregor et al., Corticospinal tract pre-wallerian degeneration: a novel outcome predictor for pediatric stroke on acute mri, Stroke, vol.40, pp.780-787, 2009.

S. Fiori and A. Guzzetta, Plasticity following early-life brain injury: insights from quantitative mri, Seminars in perinatology, vol.39, pp.141-146, 2015.

B. Fischl, D. H. Salat, E. Busa, M. Albert, M. Dieterich et al., Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain, Neuron, vol.33, pp.341-355, 2002.

, , p.569

B. Fischl, A. Van-der-kouwe, C. Destrieux, E. Halgren, F. Segonne et al., Automatically parcellating the human cerebral cortex, Cerebral cortex, vol.14, pp.11-22, 2004.

L. V. Gauthier, E. Taub, V. W. Mark, A. Barghi, and G. Uswatte, Atrophy of spared gray matter tissue predicts poorer motor recovery and rehabilitation response in chronic stroke, Stroke, vol.43, pp.453-457, 2012.

N. J. Gerrits, A. C. Van-loenhoud, . Van-den, S. F. Berg, H. W. Berendse et al., Cortical thickness, surface area and subcortical volume differentially contribute to cognitive heterogeneity in parkinsons disease, PloS one, p.148852, 2016.

S. Geva, J. Baron, P. S. Jones, C. J. Price, and E. A. Warburton, A comparison of vlsm and vbm in a cohort of patients with post-stroke aphasia, NeuroImage: Clinical, vol.1, pp.37-47, 2012.

S. Grunt, L. Mazenauer, S. E. Buerki, E. Boltshauser, A. C. Mori et al., Incidence and outcomes of symptomatic neonatal arterial ischemic stroke. Pediatrics, p.2014, 2015.

D. J. Hagler, A. P. Saygin, and M. I. Sereno, Smoothing and cluster thresholding for cortical surface-based group analysis of fmri data, Neuroimage, vol.33, pp.1093-1103, 2006.

B. Husson, L. Hertz-pannier, C. Renaud, D. Allard, E. Presles et al., Motor outcomes after neonatal arterial ischemic stroke related to early mri data in a prospective study, Pediatrics, p.2009, 2010.

C. J. Hyatt, E. Haney-caron, and M. C. Stevens, Cortical thickness and folding deficits in conduct-disordered adolescents, Biological Psychiatry, vol.72, pp.207-214, 2012.

E. R. Kandel, J. H. Schwartz, T. M. Jessell, D. Biochemistry, M. B. Jessell et al., Principles of neural science, vol.4, 2000.

P. A. Kelly, E. Viding, G. L. Wallace, M. Schaer, S. A. De-brito et al., Cortical thickness, surface area, and gyrification abnormalities in children exposed to maltreatment: neural markers of vulnerability? Biological psychiatry, vol.74, pp.845-852, 2013.

A. Kirton, J. Armstrong-wells, T. Chang, M. J. Rivkin, M. Hernandez et al., Symptomatic 18, 2011.

, neonatal arterial ischemic stroke: the international pediatric stroke study, Pediatrics, p.2011

A. Kirton, Modeling developmental plasticity after perinatal stroke: defining central therapeutic targets in cerebral palsy, Pediatric neurology, vol.48, pp.81-94, 2013.

A. Kirton and G. Deveber, Life after perinatal stroke, Stroke, vol.44, pp.3265-3271, 2013.

X. Kong, S. R. Mathias, T. Guadalupe, D. C. Glahn, B. Franke et al., Mapping cortical brain asymmetry in 17,141 healthy individuals worldwide via the enigma consortium, Proceedings of the National Academy of Sciences, vol.115, pp.5154-5163, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01790798

G. R. Kuperberg, M. R. Broome, P. K. Mcguire, A. S. David, M. Eddy et al., Regionally localized thinning of the cerebral cortex in schizophrenia, Archives of general psychiatry, vol.60, pp.878-888, 2003.

R. Laugesaar, A. Kolk, T. Tomberg, T. Metsvaht, M. Lintrop et al., Acutely and retrospectively diagnosed perinatal stroke: a population-based study, Stroke, vol.38, pp.2234-2240, 2007.

R. Lo, D. Gitelman, R. Levy, J. Hulvershorn, and T. Parrish, Identification of critical areas for motor function recovery in chronic stroke subjects using voxel-based lesion symptom mapping, Neuroimage, vol.49, pp.9-18, 2010.

E. Mercuri, A. Barnett, M. Rutherford, A. Guzzetta, L. Haataja et al., Neonatal cerebral infarction and neuromotor outcome at school age, Pediatrics, vol.113, pp.95-100, 2004.

R. C. Oldfield, The assessment and analysis of handedness: the edinburgh inventory, Neuropsychologia, vol.9, pp.97-113, 1971.

L. Palaniyappan, P. Mallikarjun, V. Joseph, T. P. White, and P. F. Liddle, Folding of the prefrontal cortex in schizophrenia: regional differences in gyrification, Biological psychiatry, vol.69, pp.974-979, 2011.

T. N. Raju, K. B. Nelson, D. Ferriero, and J. K. Lynch, Ischemic perinatal stroke: summary of a workshop sponsored by the national institute of child health and human development and the national institute of neurological disorders and stroke, Pediatrics, vol.120, pp.609-616, 2007.

J. Remer, E. Croteau-chonka, I. Dean, D. C. , S. Dirks et al., Quantifying cortical development in typically developing toddlers and young children, 1-6 years of age, Neuroimage, vol.153, pp.246-261, 2017.

L. M. Rimol, R. Nesvag, D. J. Hagler, Ø. Bergmann, C. Fennema-notestine et al., Cortical volume, surface area, and thickness in schizophrenia and bipolar disorder, Biological psychiatry, vol.71, pp.552-560, 2012.

C. Rorden, H. Karnath, and L. Bonilha, Improving lesion-symptom mapping, Journal of cognitive neuroscience, vol.19, pp.1081-1088, 2007.

M. Schaer, M. B. Cuadra, L. Tamarit, F. Lazeyras, S. Eliez et al., A surface-based approach to quantify local cortical gyrification, IEEE transactions on medical imaging, vol.27, pp.161-170, 2008.

C. C. Schultz, G. Wagner, K. Koch, C. Gaser, M. Roebel et al., The visual cortex in schizophrenia: alterations of gyrification rather than cortical thickness a combined cortical shape analysis, Brain Structure and Function, vol.218, pp.51-58, 2013.

E. R. Sowell, B. S. Peterson, E. Kan, R. P. Woods, J. Yoshii et al., Sex differences in cortical thickness mapped in 176 healthy individuals between 7 and 87 years of age, vol.17, pp.1550-1560, 2006.

M. Staudt, Brain plasticity following early life brain injury: insights from neuroimaging, Seminars in perinatology, vol.34, pp.87-92, 2010.

M. Staudt, Reorganization after pre-and perinatal brain lesions, Journal of Anatomy, vol.217, pp.469-474, 2010.

C. Stephan-otto, C. Nunez, G. Arca, T. Agut, and A. García-alix, Three-dimensional map of neonatal arterial ischemic stroke distribution from early multimodal brain imaging, Stroke, vol.48, pp.482-485, 2017.

N. E. Van-der-aa, F. J. Northington, B. S. Stone, F. Groenendaal, M. J. Benders et al., Quantification of white matter injury following neonatal stroke with serial dti, Pediatric research, vol.73, p.756, 2013.

T. White, S. Su, M. Schmidt, C. Kao, and G. Sapiro, The development of gyrification in childhood and adolescence, Brain and cognition, vol.72, pp.36-45, 2010.

A. M. Winkler, P. Kochunov, J. Blangero, L. Almasy, K. Zilles et al., Cortical thickness or grey matter volume? the importance of selecting the phenotype for imaging genetics studies, Neuroimage, vol.53, pp.1135-1146, 2010.

E. Zewdie, O. Damji, P. Ciechanski, T. Seeger, and A. Kirton, Contralesional corticomotor neurophysiology in hemiparetic children with perinatal stroke: developmental plasticity and clinical function, Neurorehabilitation and neural repair, vol.31, pp.261-271, 2017.

K. Zilles, E. Armstrong, A. Schleicher, and H. Kretschmann, The human pattern of gyrification in the cerebral cortex, Anatomy and embryology, vol.179, pp.173-179, 1988.

, Precuneus 1211.78 -6.4, -69, vol.5