Cerebral Palsy
What's New
Last Posted: May 01, 2024
- Exome sequencing reveals genetic heterogeneity and clinically actionable findings in children with cerebral palsy
- Comprehensive whole-genome sequence analyses provide insights into the genomic architecture of cerebral palsy.
Darcy L Fehlings et al. Nat Genet 2024 3 - Automated identification of abnormal infant movements from smart phone videos.
E Passmore et al. PLOS Digit Health 2024 3(2) e0000432 - Evaluation of Informative Content on Cerebral Palsy in the Era of Artificial Intelligence: The Value of ChatGPT.
Ayse Merve Ata et al. Phys Occup Ther Pediatr 2024 1-10 - Clinical utility of a genetic diagnosis in individuals with cerebral palsy and related motor disorders.
Alexandra Santana Almansa et al. Ann Clin Transl Neurol 2024 - Clinical actionability of genetic findings in cerebral palsy.
Sara A Lewis et al. medRxiv 2023 - PredictMed-epilepsy: A multi-agent based system for epilepsy detection and prediction in neuropediatrics.
Carlo M Bertoncelli et al. Comput Methods Programs Biomed 2023 236107548 - Towards automated video-based assessment of dystonia in dyskinetic cerebral palsy: A novel approach using markerless motion tracking and machine learning.
Helga Haberfehlner et al. Frontiers in robotics and AI 2023 101108114 - All Patients With a Cerebral Palsy Diagnosis Merit Genomic Sequencing.
Clare van Eyk et al. JAMA pediatrics 2023 3 - Diagnostic Yield of Exome Sequencing in Cerebral Palsy and Implications for Genetic Testing Guidelines: A Systematic Review and Meta-analysis.
Pedro J Gonzalez-Mantilla et al. JAMA pediatrics 2023 3 - A big data approach to evaluate receipt of optimal care in childhood cerebral palsy.
Alexis Mitelpunkt et al. Disability and rehabilitation 2023 1-8 - Molecular Diagnostic Yield of Exome Sequencing and Chromosomal Microarray in Cerebral Palsy: A Systematic Review and Meta-analysis.
Srivastava Siddharth et al. JAMA neurology 2022 - Molecular Diagnostic Yield of Exome Sequencing and Chromosomal Microarray in Cerebral Palsy A Systematic Review and Meta-analysis
S Srivastava et al, JAMA Neurology, October 24, 2022 - Epidemiology, methods of diagnosis, and clinical management of patients with arginase 1 deficiency (ARG1-D): A systematic review.
Bin Sawad Aseel et al. Molecular genetics and metabolism 2022 137(1-2) 153-163 - Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk.
Groos Daniel et al. JAMA network open 2022 5(7) e2221325 - Congenital muscle dystrophies: Role of singleton whole exome sequencing in countries with limited resources.
Masri Amira T et al. Clinical neurology and neurosurgery 2022 217107271 - Common data elements to standardize genomics studies in cerebral palsy.
Wilson Yana A et al. Developmental medicine and child neurology 2022 - Prediction of Communication Impairment in Children With Bilateral Cerebral Palsy Using Multivariate Lesion- and Connectome-Based Approaches: Protocol for a Multicenter Prospective Cohort Study.
Hu Jie et al. Frontiers in human neuroscience 2022 16788037 - Epilepsy and related challenges in children with COL4A1 and COL4A2 mutations: A Gould syndrome patient registry.
Boyce Danielle et al. Epilepsy & behavior : E&B 2021 125108365 - Yield of clinically reportable genetic variants in unselected cerebral palsy by whole genome sequencing
CL van Eyk et al, NPJ Genomic Medicine, September 16, 2021 - Genetic counseling considerations in cerebral palsy.
Elliott Alison M et al. Molecular genetics and metabolism 2021 - Genomics in Cerebral Palsy phenotype across the lifespan: Comparison of diagnostic yield between children and adult population.
Al Zahrani Haifa et al. Molecular genetics and metabolism 2021 - Artificial intelligence to improve efficiency of administration of gross motor function assessment in children with cerebral palsy.
Duran Ibrahim et al. Developmental medicine and child neurology 2021 - Diagnostic yield of chromosomal microarray and trio whole exome sequencing in cryptogenic cerebral palsy.
Yechieli Michal et al. Journal of medical genetics 2021 - Risks of covid-19 hospital admission and death for people with learning disability: population based cohort study using the OpenSAFELY platform.
Williamson Elizabeth J et al. BMJ (Clinical research ed.) 2021 374n1592 - Genome-Wide Association Study Identifies Genetic Risk Factors for Spastic Cerebral Palsy.
Hale Andrew T et al. Neurosurgery 2021 - Molecular Diagnostic Yield of Exome Sequencing in Patients With Cerebral Palsy.
Moreno-De-Luca Andrés et al. JAMA 2021 Feb (5) 467-475 - Role of child neurologists and neurodevelopmentalists in the diagnosis of cerebral palsy: A survey study.
Aravamuthan Bhooma R et al. Neurology 2020 Oct - Application of Machine Learning Using Decision Trees for Prognosis of Deep Brain Stimulation of Globus Pallidus Internus for Children With Dystonia.
Shah Syed Ahmar et al. Frontiers in neurology 2020 Aug 11825 - The Expanding Role of Genetics in Cerebral Palsy.
Emrick Lisa T et al. Physical medicine and rehabilitation clinics of North America 2020 31(1) 15-24 - Machine learning models for identifying preterm infants at risk of cerebral hemorrhage.
Turova Varvara et al. PloS one 2020 15(1) e0227419 - Progress in pediatrics in 2015: choices in allergy, endocrinology, gastroenterology, genetics, haematology, infectious diseases, neonatology, nephrology, neurology, nutrition, oncology and pulmonology.
Caffarelli Carlo et al. Italian journal of pediatrics 2016 Aug 42(1) 75 - Increase in Developmental Disabilities Among Children in the United States
CDC, September 2019 - When You Don?t Know, You Feel Alone in the World? The odyssey of the undiagnosed.
DE Bechard, Stanford Magazine, Summer 2019 - Medical Diagnosis of Cerebral Palsy Rehabilitation Using Eye Images in Machine Learning Techniques.
Illavarason P et al. Journal of medical systems 2019 Jul 43(8) 278 - Feasibility of a randomised controlled trial to evaluate home-based virtual reality therapy in children with cerebral palsy.
Farr William J et al. Disability and rehabilitation 2019 May 1-13 - Family History of Mental and Neurological Disorders and Risk of Autism.
Xie Sherlly, et al. JAMA network open 2019 3 0. (3) e190154 - Using Artificial Intelligence to Identify Factors Associated with Autism Spectrum Disorder in Adolescents with Cerebral Palsy.
Bertoncelli Carlo M et al. Neuropediatrics 2019 50(3) 178-187 - Pathogenic copy number variants that affect gene expression contribute to genomic burden in cerebral palsy
MA Corbett et al,. NPJ Genomic Medicine, Decemeber 2018 - Atypical cerebral palsy: genomics analysis enables precision medicine.
Matthews Allison M et al. Genetics in medicine : official journal of the American College of Medical Genetics 2018 Dec
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About Rare Diseases PHGKB
Rare Disease PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other information that address the public health impact and translation of genomic and other precision health discoveries into improved health outcomes related to rare diseases...more
Content Summary
Selected Rare Diseases
- Alpha-1 Antitrypsin Deficiency
- Amyotrophic Lateral Sclerosis
- Brugada Syndrome
- Cerebral Palsy
- Cystic Fibrosis
- Duchenne Muscular Dystrophy
- Eclampsia
- Erythema Multiforme
- Familial Mediterranean Fever
- Fragile X Syndrome
- Gaucher Disease
- Glomerulonephritis
- Graves Disease
- Hemophilia
- Huntington Disease
- Microcephaly
- Myasthenia Gravis
- Phenylketonuria
- Retinitis Pigmentosa
- Severe Combined Immunodeficiency
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
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