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Hayton T, Gross A, Basson A, Olson K, Ang O, Milne N, Pool J. Psychometric properties of clinician-reported and performance-based outcomes cited in a scoping review on spinal manipulation and mobilization for pediatric populations with diverse medical conditions: a systematic review. J Man Manip Ther 2024; 32:255-283. [PMID: 38070150 PMCID: PMC11216262 DOI: 10.1080/10669817.2023.2269038] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 10/05/2023] [Indexed: 06/29/2024] Open
Abstract
INTRODUCTION Risks and benefits of spinal manipulations and mobilization in pediatric populations are a concern to the public, policymakers, and international physiotherapy governing organizations. Clinical Outcome Assessments (COA) used in the literature on these topics are contentious. The aim of this systematic review was to establish the quality of clinician-reported and performance-based COAs identified by a scoping review on spinal manipulation and mobilization for pediatric populations across diverse medical conditions. METHOD AND ANALYSIS Electronic databases, clinicaltrials.gov and Ebsco Open Dissertations were searched up to 21 October 2022. Qualitative synthesis was performed using Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) guidelines to select studies, perform data extraction, and assess risk of bias. Data synthesis used Grading of Recommendations, Assessment, Development and Evaluations (GRADE) to determine the certainty of the evidence and overall rating: sufficient (+), insufficient (-), inconsistent (±), or indeterminate (?). RESULTS Four of 17 identified COAs (77 studies, 9653 participants) with supporting psychometric research were classified as:Performance-based outcome measures: AIMS - Alberta Infant Motor Scale (n = 51); or:Clinician-reported outcome measures: LATCH - Latch, Audible swallowing, Type of nipple, Comfort, Hold (n = 10),Cobb Angle (n = 15),Postural Assessment (n = 1).AIMS had an overall sufficient (+) rating with high certainty evidence, and LATCH had an overall sufficient (+) rating with moderate certainty of evidence. For the Cobb Angle and Postural Assessment, the overall rating was indeterminate (?) with low or very low certainty of evidence, respectively. CONCLUSION The AIMS and LATCH had sufficient evidence to evaluate the efficacy of spinal manipulation and mobilization for certain pediatric medical conditions. Further validation studies are needed for other COAs.
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Affiliation(s)
- Tricia Hayton
- School of Rehabilitation, McMaster University, Hamilton, Canada
| | - Anita Gross
- School of Rehabilitation, McMaster University, Hamilton, Canada
| | - Annalie Basson
- Faculty of Health Sciences, Physiotherapy Department, University of Witwatersrand, Johannesburg, South Africa
| | - Ken Olson
- International Federation of Orthopaedic Manipulative Physical Therapist, USA
| | - Oliver Ang
- Integrative Health and Wellbeing Research Program, Earl E. Bakken Center for Spirituality and Healing, University of Minnesota, Minneapolis, Minnesota
| | - Nikki Milne
- Doctor of Physiotherapy Program, Bond University, Queensland, Australia
| | - Jan Pool
- Institute of Human Movement Studies, University of Applied Sciences, Utretcht, The Netherlands
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Bao B, Zhang S, Li H, Cui W, Guo K, Zhang Y, Yang K, Liu S, Tong Y, Zhu J, Lin Y, Xu H, Yang H, Cheng X, Cheng H. Intelligence Sparse Sensor Network for Automatic Early Evaluation of General Movements in Infants. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2306025. [PMID: 38445881 PMCID: PMC11109618 DOI: 10.1002/advs.202306025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 01/23/2024] [Indexed: 03/07/2024]
Abstract
General movements (GMs) have been widely used for the early clinical evaluation of infant brain development, allowing immediate evaluation of potential development disorders and timely rehabilitation. The infants' general movements can be captured digitally, but the lack of quantitative assessment and well-trained clinical pediatricians presents an obstacle for many years to achieve wider deployment, especially in low-resource settings. There is a high potential to explore wearable sensors for movement analysis due to outstanding privacy, low cost, and easy-to-use features. This work presents a sparse sensor network with soft wireless IMU devices (SWDs) for automatic early evaluation of general movements in infants. The sparse network consisting of only five sensor nodes (SWDs) with robust mechanical properties and excellent biocompatibility continuously and stably captures full-body motion data. The proof-of-the-concept clinical testing with 23 infants showcases outstanding performance in recognizing neonatal activities, confirming the reliability of the system. Taken together with a tiny machine learning algorithm, the system can automatically identify risky infants based on the GMs, with an accuracy of up to 100% (99.9%). The wearable sparse sensor network with an artificial intelligence-based algorithm facilitates intelligent evaluation of infant brain development and early diagnosis of development disorders.
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Affiliation(s)
- Benkun Bao
- School of Biomedical Engineering (Suzhou)Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefei230022P. R. China
- Suzhou Institute of Biomedical Engineering and TechnologyChinese Academy of ScienceSuzhou215011P. R. China
| | - Senhao Zhang
- Suzhou Institute of Biomedical Engineering and TechnologyChinese Academy of ScienceSuzhou215011P. R. China
- Department of Engineering Science and MechanicsThe Pennsylvania State UniversityUniversity ParkPA16802USA
| | - Honghua Li
- Department of Developmental and Behavioral PediatricsThe First Hospital of Jilin UniversityChangchun130021P. R. China
| | - Weidong Cui
- Suzhou Institute of Biomedical Engineering and TechnologyChinese Academy of ScienceSuzhou215011P. R. China
| | - Kai Guo
- School of Biomedical Engineering (Suzhou)Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefei230022P. R. China
- Suzhou Institute of Biomedical Engineering and TechnologyChinese Academy of ScienceSuzhou215011P. R. China
| | - Yingying Zhang
- School of Biomedical Engineering (Suzhou)Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefei230022P. R. China
- Suzhou Institute of Biomedical Engineering and TechnologyChinese Academy of ScienceSuzhou215011P. R. China
| | - Kerong Yang
- School of Biomedical Engineering (Suzhou)Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefei230022P. R. China
- Suzhou Institute of Biomedical Engineering and TechnologyChinese Academy of ScienceSuzhou215011P. R. China
| | - Shuai Liu
- School of Biomedical Engineering (Suzhou)Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefei230022P. R. China
- Suzhou Institute of Biomedical Engineering and TechnologyChinese Academy of ScienceSuzhou215011P. R. China
| | - Yao Tong
- School of Biomedical Engineering (Suzhou)Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefei230022P. R. China
- Suzhou Institute of Biomedical Engineering and TechnologyChinese Academy of ScienceSuzhou215011P. R. China
| | - Jia Zhu
- School of Material and EnergyUniversity of Electronic Science and Technology of ChinaChengdu610054P. R. China
| | - Yuan Lin
- School of Material and EnergyUniversity of Electronic Science and Technology of ChinaChengdu610054P. R. China
| | - Huanlan Xu
- Department of Rehabilitation MedicineChildren's Hospital of Soochow UniversitySuzhou215025P. R. China
| | - Hongbo Yang
- School of Biomedical Engineering (Suzhou)Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefei230022P. R. China
- Suzhou Institute of Biomedical Engineering and TechnologyChinese Academy of ScienceSuzhou215011P. R. China
| | - Xiankai Cheng
- School of Biomedical Engineering (Suzhou)Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefei230022P. R. China
- Suzhou Institute of Biomedical Engineering and TechnologyChinese Academy of ScienceSuzhou215011P. R. China
| | - Huanyu Cheng
- Department of Engineering Science and MechanicsThe Pennsylvania State UniversityUniversity ParkPA16802USA
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Hadders-Algra M, van Iersel PAM, Heineman KR, la Bastide-van Gemert S. Longer duration of gestation in term singletons is associated with better infant neurodevelopment. Early Hum Dev 2023; 181:105779. [PMID: 37120903 DOI: 10.1016/j.earlhumdev.2023.105779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 04/20/2023] [Accepted: 04/20/2023] [Indexed: 05/02/2023]
Abstract
BACKGROUND Longer gestation at term and post-term age is associated with increased perinatal mortality. Nonetheless, recent neuroimaging studies indicated that longer gestation is also associated with better functioning of the child's brain. AIMS to assess whether longer gestation in term and post-term (in short: term) singletons is associated with better infant neurodevelopment. STUDY DESIGN cross-sectional observational study. SUBJECTS Participants were all singleton term infants (n = 1563) aged 2-18 months of the IMP-SINDA project that collected normative data for the Infant Motor Profile (IMP) and Standardized Infant NeuroDevelopmental Assessment (SINDA). The group was representative of the Dutch population. OUTCOME MEASURES Total IMP score was the primary outcome. Secondary outcomes were atypical total IMP scores (scores <15th percentile) and SINDA's neurological and developmental scores. RESULTS Duration of gestation had a quadratic relationship with IMP and SINDA developmental scores. IMP scores were lowest at a gestation of 38·5 weeks, SINDA developmental scores at 38·7 weeks. Next, both scores increased with increasing duration of gestation. Infants born at 41-42 weeks had significantly less often atypical IMP scores (adjusted OR [95 % CI]: 0·571 [0·341-0·957] and atypical SINDA developmental scores (adjusted OR: 0·366 [0·195-0·688]) than infants born at 39-40 weeks. Duration of gestation was not associated with SINDA's neurological score. CONCLUSIONS In term singleton infants representative of the Dutch population longer gestation is associated with better infant neurodevelopment scores suggesting better neural network efficiency. Longer gestation in term infants is not associated with atypical neurological scores.
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Affiliation(s)
- Mijna Hadders-Algra
- University of Groningen, University Medical Center Groningen, Dept. Pediatrics - section Developmental Neurology, Groningen, the Netherlands.
| | - Patricia A M van Iersel
- University of Groningen, University Medical Center Groningen, Dept. Pediatrics - section Developmental Neurology, Groningen, the Netherlands
| | - Kirsten R Heineman
- University of Groningen, University Medical Center Groningen, Dept. Pediatrics - section Developmental Neurology, Groningen, the Netherlands; Stichting Epilepsie Instellingen Nederland (SEIN), Zwolle, the Netherlands
| | - Sacha la Bastide-van Gemert
- University of Groningen, University Medical Center Groningen, Dept. Epidemiology, Groningen, the Netherlands
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Huisenga D, la Bastide-van Gemert S, Van Bergen AH, Sweeney JK, Hadders-Algra M. Motor development in infants with complex congenital heart disease: A longitudinal study. Dev Med Child Neurol 2023; 65:117-125. [PMID: 35665492 PMCID: PMC10084079 DOI: 10.1111/dmcn.15287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 04/27/2022] [Accepted: 04/28/2022] [Indexed: 12/31/2022]
Abstract
AIM To evaluate whether infants with complex congenital heart disease (CCHD) have an increased risk of impaired quality of motor behavior and delayed motor milestones. METHOD A cohort of 69 infants with CCHD (43 males, 26 females) were assessed with the Infant Motor Profile (IMP) at three time periods between 6 to 18 months, mean ages in months (SD): 6.4 (0.7); 12.7 (1.0); 18.5 (0.7) IMP data were available from a reference sample of 300 Dutch infants. Analyses included multivariable logistic regression analysis to estimate differences in IMP scores below the 15th centile between children with CCHD and the reference group, and linear mixed-effects models to assess the effect of ventricular physiology and systemic oxygen saturation (SpO2) of less than 90% on IMP outcomes. RESULTS Infants with CCHD had increased risks of total IMP scores below the 15th centile (lowest odds ratio [OR] at 18mo: 6.82 [95% confidence interval {CI} 2.87-16.19]), especially because of lower scores in the domains of variation, adaptability, and performance. Children with single ventricle CCHD scored consistently 3.03% (95% CI 1.00-5.07) lower than those with two ventricle physiology, mainly from contributions of the variation and performance domains. SpO2 of less than 90% was associated with 2.52% (95% CI 0.49-4.54) lower IMP scores. INTERPRETATION CCHD, especially single ventricle physiology, increases risk of impaired motor development. WHAT THIS PAPER ADDS Complex congenital heart disease (CCHD) substantially increases risk of impaired motor development. CCHD is associated with motor delay and reduced motor variation and adaptability. Single ventricle physiology increases the risk of impaired motor behavior.
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Affiliation(s)
- Darlene Huisenga
- Advocate Children's Hospital, Department of Pediatric Rehabilitation and Development, Oak Lawn, Illinois, USA.,University of Groningen, University Medical Center Groningen, Department of Paediatrics, Division of Developmental Neurology, Groningen, the Netherlands
| | - Sacha la Bastide-van Gemert
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands
| | - Andrew H Van Bergen
- Advocate Children's Hospital, Department of Pediatric Rehabilitation and Development, Oak Lawn, Illinois, USA.,Advocate Children's Hospital, Advocate Children's Heart Institute, Division of Pediatric Cardiac Critical Care, Oak Lawn, Illinois, USA
| | - Jane K Sweeney
- Rocky Mountain University of Health Professions, Provo, Utah, USA
| | - Mijna Hadders-Algra
- University of Groningen, University Medical Center Groningen, Department of Paediatrics, Division of Developmental Neurology, Groningen, the Netherlands
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Health Information Prediction System of Infant Sports Based on Deep Learning Network. BIOMED RESEARCH INTERNATIONAL 2022; 2022:4438251. [PMID: 35958812 PMCID: PMC9357799 DOI: 10.1155/2022/4438251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 06/30/2022] [Accepted: 07/09/2022] [Indexed: 11/17/2022]
Abstract
The sensed data from infant sports and training programs are useful in analyzing their health conditions and forecasting any disorders or abnormalities. The sensed information is processed for providing errorless predictions for infant diseases/disorders, coupled with artificial intelligence and sophisticated healthcare technologies. The problem of noncongruent sensed data impacting the forecast occurs due to errors between consecutive training iterations. This problem is addressed using the deep learning (PEST-DL) proposed perceptible error segregation technique. The training process is halted between two consecutive iterations generating errors until a similarity verification based on infant history is performed. The similarity output determines the errors due to mismatching data observations, and therefore, the data augmentation is performed. The first perceptible error is mitigated by training the learning paradigm with all possible infant history data in the learning process. This prevents prediction lag and data omissions due to discrete availability. The learning is trained from the identified error with the precise detected disorder/abnormality data previously detected. Therefore, the first and consecutive training data segregate error instances from the actual training iterations. This improves the prediction accuracy and precision with controlled error and time complexity.
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Infant motor behaviour and functional and cognitive outcome at school-age: A follow-up study in very high-risk children. Early Hum Dev 2022; 170:105597. [PMID: 35689969 DOI: 10.1016/j.earlhumdev.2022.105597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 05/31/2022] [Indexed: 12/31/2022]
Abstract
BACKGROUND The Infant Motor Profile (IMP) is an appropriate tool to assess and monitor infant motor behaviour over time. Infants at very high risk (VHR) due to a lesion of the brain generally show impaired motor development. They may grow into or out of their neurodevelopmental deficit. AIMS Evaluate associations between IMP-trajectories, summarised by IMP-scores in early infancy and rates of change, and functional and cognitive outcome at school-age in VHR-children. STUDY DESIGN Longitudinal study. SUBJECTS 31 VHR-children, mainly due to a brain lesion, who had multiple IMP-assessments during infancy, were re-assessed at 7-10 years (school-age). OUTCOME MEASURES Functional outcome was assessed with the Vineland-II, cognition with RAKIT 2. Associations between IMP-trajectories and outcome were tested by multivariable linear regression analyses. RESULTS When corrected for sex, maternal education and follow-up age, initial scores of total IMP, variation and performance domains, as well as their rates of change were associated with better functional outcome (unstandardised coefficients [95% CI]): 36.44 [19.60-53.28], 33.46 [17.43-49.49], 16.52 [7.58-25.46], and 513.15 [262.51-763.79], 356.70 [148.24-565.15], and 269 [130.57-407.43], respectively. Positive rates of change in variation scores were associated with better cognition at school-age: 34.81 [16.58-53.03]. CONCLUSION Our study indicated that in VHR-children IMP-trajectories were associated with functional outcome at school-age, and to a minor extent also with cognition. Initial IMP-scores presumably reflect the effect of an early brain lesion on brain functioning, whereas IMP rate of change reflects whether infants are able to grow into or out of their initial neurodevelopmental deficit.
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Active head lifting from supine in infancy in the general population: Red flag or not? Early Hum Dev 2021; 163:105466. [PMID: 34543946 DOI: 10.1016/j.earlhumdev.2021.105466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 08/31/2021] [Accepted: 09/02/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Previously it had been had reported that active head lifting from supine (AHLS) in high-risk infants was associated with lower cognitive scores in the second year. AHLS was generally accompanied by stereotyped leg movements. AIMS To examine in a standardized way whether AHLS with or without stereotyped leg movements in the general population is associated with prenatal, perinatal, neonatal and socio-economic risk factors or with lower scores on concurrent infant tests. STUDY DESIGN Cross-sectional study SUBJECTS: 1700 infants aged 2-18 months representative of the Dutch population. OUTCOME MEASURES Infant Motor Profile (IMP) and Standardized Infant NeuroDevelopmental Assessment (SINDA). Assessments were video-recorded and included at the youngest ages 3min of behaviour in supine. AHLS and the presence of stereotyped leg movements were recorded. Standardized information on early risk factors was available. RESULTS AHLS occurred at 4-9 months (prevalence per months: 1-14%; highest prevalence at 6 months). It was not associated with early risk factors or scores on infant tests. When AHLS was accompanied by stereotyped leg movements it was associated with a higher prevalence of an IMP-variation score < P15 (Odds Ratio (OR) 2.472 [95%CI 1.017; 6.006]). Stereotyped leg movements irrespective of AHLS were associated with more unfavourable total IMP scores and IMP performance scores (B coefficients -3.212 [-4.065; -2.360], -2.521 [-3.783; -1.259]) and IMP variation and SINDA neurological scores (ORs 5.432 [3.409; 8.655], 3.098 [1.548; 6.202]). CONCLUSIONS The data suggest that AHLS is not a red flag. Rather its co-occurring stereotyped leg movements may signal less favourable neurodevelopment.
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Menici V, Antonelli C, Beani E, Mattiola A, Giampietri M, Martini G, Rizzi R, Cecchi A, Cioni ML, Cioni G, Sgandurra G. Feasibility of Early Intervention Through Home-Based and Parent-Delivered Infant Massage in Infants at High Risk for Cerebral Palsy. Front Pediatr 2021; 9:673956. [PMID: 34350144 PMCID: PMC8328146 DOI: 10.3389/fped.2021.673956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 05/21/2021] [Indexed: 11/17/2022] Open
Abstract
Infant massage (IM) can be considered an early intervention program that leads to the environmental enrichment framework. The effectiveness of IM to promote neurodevelopment in preterm infants has been proved, but studies on infants with early brain damage are still lacking. The main aim of this study was to assess the feasibility, acceptability and usability of IM, carried out by parents at home, on infants at high risk for Cerebral Palsy. An IM daily diary and an ad hoc questionnaire, called Infant Massage Questionnaire Parent-Infant Experiences (IMQPE), were developed. IMQPE consisted of a total of 30 questions, divided into 5 areas. The parents were trained to carry out the IM with a home-based course, conducted by an expert therapist. The intensive IM program was set according to a defined daily length of at least 20 min, with a frequency of at least 5 days per week for a total of 8 weeks. Data collection consisted in the selection of the variables around the characteristics, both of the infants and the mothers, IM dosage and frequency, different body parts of the infants involved and IMQPE scores. Variable selection was carried out by minimizing the Bayesian Information Criteria (BIC) over all possible variable subsets. Nineteen high-risk infants, aged 4.83 ± 1.22 months, received IM at home for 8 weeks. The massage was given by the infants' mothers with a mean daily session dose of 27.79 ± 7.88 min and a total of 21.04 ± 8.49 h. 89.74% and 100% of mothers performed the IM for the minimum daily dosage and the frequency recommended, respectively. All the families filled in the IMQPE, with a Total mean score of 79.59% and of 82.22% in General Information on IM, 76.30% in Infant's intervention-related changes, 76.85% in IM Suitability, 79.07% in Infant's acceptance and 83.52% in Time required for the training. Different best predictors in mothers and in infants have been found. These data provide evidence of the feasibility of performing IM at home on infants at high risk for CP. Study registration: www.clinicaltrial.com (NCT03211533 and NCT03234959).
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Affiliation(s)
- Valentina Menici
- Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Pisa, Italy
| | - Camilla Antonelli
- Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Pisa, Italy
- Tuscan Ph.D. Programme of Neuroscience, University of Florence, Florence, Italy
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Elena Beani
- Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Pisa, Italy
| | - Alessandra Mattiola
- Neonatal Intensive Care Unit, Pisa University Hospital Santa Chiara, Pisa, Italy
| | - Matteo Giampietri
- Neonatal Intensive Care Unit, Pisa University Hospital Santa Chiara, Pisa, Italy
| | - Giada Martini
- Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Pisa, Italy
| | - Riccardo Rizzi
- Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Pisa, Italy
- Tuscan Ph.D. Programme of Neuroscience, University of Florence, Florence, Italy
| | - Alessandra Cecchi
- Division of Neonatology, Careggi University Hospital, University of Florence, Florence, Italy
| | - Maria Luce Cioni
- Neonatal Intensive Care Unit, Children's Hospital A. Meyer, Florence, Italy
| | - Giovanni Cioni
- Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Pisa, Italy
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Giuseppina Sgandurra
- Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Pisa, Italy
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
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Hadders-Algra M. Early Diagnostics and Early Intervention in Neurodevelopmental Disorders-Age-Dependent Challenges and Opportunities. J Clin Med 2021; 10:861. [PMID: 33669727 PMCID: PMC7922888 DOI: 10.3390/jcm10040861] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 02/11/2021] [Accepted: 02/13/2021] [Indexed: 12/20/2022] Open
Abstract
This review discusses early diagnostics and early intervention in developmental disorders in the light of brain development. The best instruments for early detection of cerebral palsy (CP) with or without intellectual disability are neonatal magnetic resonance imaging, general movements assessment at 2-4 months and from 2-4 months onwards, the Hammersmith Infant Neurological Examination and Standardized Infant NeuroDevelopmental Assessment. Early detection of autism spectrum disorders (ASD) is difficult; its first signs emerge at the end of the first year. Prediction with the Modified Checklist for Autism in Toddlers and Infant Toddler Checklist is possible to some extent and improves during the second year, especially in children at familial risk of ASD. Thus, prediction improves substantially when transient brain structures have been replaced by permanent circuitries. At around 3 months the cortical subplate has dissolved in primary motor and sensory cortices; around 12 months the cortical subplate in prefrontal and parieto-temporal cortices and cerebellar external granular layer have disappeared. This review stresses that families are pivotal in early intervention. It summarizes evidence on the effectiveness of early intervention in medically fragile neonates, infants at low to moderate risk, infants with or at high risk of CP and with or at high risk of ASD.
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Affiliation(s)
- Mijna Hadders-Algra
- University of Groningen, University Medical Center Groningen, Department of Paediatrics-Section Developmental Neurology, 9713 GZ Groningen, The Netherlands
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