Neuroimaging findings in children with cerebral palsy with autism and/or attention-deficit/hyperactivity disorder: a population-based study.
Adolescent
Attention Deficit Disorder with Hyperactivity
/ diagnostic imaging
Autistic Disorder
/ diagnostic imaging
Brain
/ diagnostic imaging
Cerebral Palsy
/ diagnostic imaging
Child
Comorbidity
Female
Humans
Magnetic Resonance Imaging
Male
Neuroimaging
Prevalence
Sweden
/ epidemiology
Young Adult
Journal
Developmental medicine and child neurology
ISSN: 1469-8749
Titre abrégé: Dev Med Child Neurol
Pays: England
ID NLM: 0006761
Informations de publication
Date de publication:
01 2022
01 2022
Historique:
accepted:
13
07
2021
pubmed:
10
8
2021
medline:
28
12
2021
entrez:
9
8
2021
Statut:
ppublish
Résumé
To compare neuroimaging patterns according to the Magnetic Resonance Imaging Classification System (MRICS) in children with cerebral palsy (CP) with and without autism and/or attention-deficit/hyperactivity disorder (ADHD). This population-based study assessed 184 children (97 males, 87 females) with CP born from 1999 to 2006 from the CP register of western Sweden, who had completed comprehensive screening and clinical assessment for neuropsychiatric disorders and undergone neuroimaging. Autism (total prevalence 30%) and ADHD (31%) were common in all neuroimaging patterns, including normal. Autism and ADHD were not more prevalent in children with bilateral than unilateral lesions, contrary to other associated impairments. Children with predominant white matter injury, related to insults in the late second or early third trimester, had the highest prevalence of autism (40%). Children who had sustained a middle cerebral artery infarction had the highest prevalence of ADHD (62%). Although autism and ADHD are common regardless of neuroimaging patterns, timing and localization of insult appear to be of importance for the occurrence of autism and ADHD in children with CP. Neuroimaging may be of prognostic value for these associated impairments. Further in-depth neuroimaging studies may lead to a better understanding of the association between CP and neuropsychiatric disorders.
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
63-69Commentaires et corrections
Type : CommentIn
Informations de copyright
© 2021 The Authors. Developmental Medicine & Child Neurology published by John Wiley & Sons Ltd on behalf of Mac Keith Press.
Références
Rosenbaum P, Paneth N, Leviton A, et al. A report: the definition and classification of cerebral palsy. Dev Med Child Neurol Suppl 2007; 109: 8-14.
Krägeloh-Mann I, Horber V. The role of magnetic resonance imaging in elucidating the pathogenesis of cerebral palsy: a systematic review. Dev Med Child Neurol 2007; 49: 144-51.
Fiori S, Cioni G, Klingels K, et al. Reliability of a novel, semi-quantitative scale for classification of structural brain magnetic resonance imaging in children with cerebral palsy. Dev Med Child Neurol 2014; 56: 839-45.
Himmelmann K, Horber V, De La Cruz J, et al. MRI classification system (MRICS) for children with cerebral palsy: development, reliability, and recommendations. Dev Med Child Neurol 2017; 59: 57-64.
Horber V, Sellier E, Horridge K, et al. The origin of the cerebral palsies: contribution of population-based neuroimaging data. Neuropediatrics 2020; 51: 113-9.
Himmelmann K, Uvebrant P. Function and neuroimaging in cerebral palsy: a population-based study. Dev Med Child Neurol 2011; 53: 516-21.
Craig F, Savino R, Trabacca A. A systematic review of comorbidity between cerebral palsy, autism spectrum disorders and attention deficit hyperactivity disorder. Eur J Paediatr Neurol 2019; 23: 31-42.
Sigurdardottir S, Thorkelsson T, Halldorsdottir M, Thorarensen O, Vik T. Trends in prevalence and characteristics of cerebral palsy among Icelandic children born 1990 to 2003. Dev Med Child Neurol 2009; 51: 356-63.
Påhlman M, Gillberg C, Himmelmann K. One third of school-aged children with cerebral palsy have neuropsychiatric impairments in a population-based study. Acta Paediatr 2019; 108: 2048-55.
Påhlman M, Gillberg C, Himmelmann K. Autism and attention-deficit/hyperactivity disorder in children with cerebral palsy: high prevalence rates in a population-based study. Dev Med Child Neurol 2021; 63: 320-327.
Stigler KA, McDonald BC, Anand A, Saykin AJ, McDougle CJ. Structural and functional magnetic resonance imaging of autism spectrum disorders. Brain Res 2011; 22: 146-61.
Pagnozzi AM, Conti E, Calderoni S, Fripp J, Rose SE. A systematic review of structural MRI biomarkers in autism spectrum disorder: a machine learning perspective. Int J Dev Neurosci 2018; 71: 68-82.
Albajara Sáenz A, Villemonteix T, Massat I. Structural and functional neuroimaging in attention-deficit/hyperactivity disorder. Dev Med Child Neurol 2019; 61: 399-405.
Himmelmann K, Horber V, Sellier E, et al. Neuroimaging patterns and function in cerebral palsy - application of an MRI classification. Front Neurol 2021; 11: 617740.
Fehlings D, Krishnan P, Ragguett R-M, et al. Neurodevelopmental profiles of children with unilateral cerebral palsy associated with middle cerebral artery and periventricular venous infarctions. Dev Med Child Neurol 2021; 63: 729-35.
Påhlman M, Gillberg C, Wentz E, Himmelmann K. Autism spectrum disorder and attention-deficit/hyperactivity disorder in children with cerebral palsy: results from screening in a population-based group. Eur Child Adolesc Psychiatry 2020; 29: 1569-79.
Himmelmann K, Hagberg G, Uvebrant P. The changing panorama of cerebral palsy in Sweden. X. Prevalence and origin in the birth-year period 1999-2002. Acta Paediatr 2010; 99: 1337-43.
Himmelmann K, Uvebrant P. The panorama of cerebral palsy in Sweden. XI. Changing patterns in the birth-year period 2003-2006. Acta Paediatr 2014; 103: 618-24.
Surveillance of Cerebral Palsy in Europe (SCPE). Surveillance of cerebral palsy in Europe: a collaboration of cerebral palsy surveys and registers. Dev Med Child Neurol 2000; 42: 816-24.
Palisano RJ, Rosenbaum P, Bartlett D, Livingston MH. Content validity of the expanded and revised Gross Motor Function Classification System. Dev Med Child Neurol 2008; 50: 744-50.
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 5th edn. Arlington, VA: American Psychiatric Association, 2013.
Anderson VA, Spencer-Smith MM, Coleman L, et al. Predicting neurocognitive and behavioural outcome after early brain insult. Dev Med Child Neurol 2014; 56: 329-36.
Spencer-Smith M, Anderson P, Jacobs R, Coleman L, Long B, Anderson V. Does timing of brain lesion have an impact on children’s attention? Dev Neuropsychol 2011; 36: 353-66.
Krägeloh-Mann I, Lidzba K, Pavlova MA, Wilke M, Staudt M. Plasticity during early brain development is determined by ontogenetic potential. Neuropediatrics 2017; 48: 66-71.
Croen LA, Grether JK, Yoshida CK, Odouli R, Van de Water J. Maternal autoimmune diseases, asthma and allergies, and childhood autism spectrum disorders: a case-control study. Arch Pediatr Adolesc Med 2005; 159: 151-7.
Coleman M, Gillberg C. The Autisms. 4th edn. Oxford, UK: Oxford University Press, 2012.
Aoki Y, Yoncheva YN, Chen B, et al. Association of white matter structure with autism spectrum disorder and attention-deficit/hyperactivity disorder. JAMA Psychiatry 2017; 74: 1120-8.
Pavlova MA, Krägeloh-Mann I. Limitations on the developing preterm brain: impact of periventricular white matter lesions on brain connectivity and cognition. Brain 2013; 136: 998-1011.
Bosenbark DD, Krivitzky L, Ichord R, et al. Clinical predictors of attention and executive functioning outcomes in children after perinatal arterial ischemic stroke. Pediatr Neurol 2017; 69: 79-86.
Gillberg C. The ESSENCE in child psychiatry: early symptomatic syndromes eliciting neurodevelopmental clinical examinations. Res Dev Disabil 2010; 31: 1543-51.