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Barrois R, Tervil B, Cacioppo M, Barnerias C, Deladrière E, Leloup-Germa V, Hervé A, Oudre L, Ricard D, Vidal PP, Vayatis N, Roy SQ, Brochard S, Gitiaux C, Desguerre I. Acceptability, validity and responsiveness of inertial measurement units for assessing motor recovery after gene therapy in infants with early onset spinal muscular atrophy: a prospective cohort study. J Neuroeng Rehabil 2024; 21:183. [PMID: 39415296 DOI: 10.1186/s12984-024-01477-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 09/24/2024] [Indexed: 10/18/2024] Open
Abstract
BACKGROUND Onasemnogene abeparvovec gene replacement therapy (GT) has changed the prognosis of patients with spinal muscular atrophy (SMA) with variable outcome regarding motor development in symptomatic patients. This pilot study evaluates acceptability, validity and clinical relevance of Inertial Measurement Units (IMU) to monitor spontaneous movement recovery in early onset SMA patients after GT. METHODS Clinical assessments including CHOPINTEND score (the gold standard motor score for infants with SMA) and IMU measurements were performed before (M0) and repeatedly after GT. Inertial data was recorded during a 25-min spontaneous movement task, the child lying on the back, without (10 min) and with a playset (15 min) wearing IMUs. Two commonly used parameters, norm acceleration 95th centile (||A||_95) and counts per minute (||A||_CPM) were computed for each wrist, elbow and foot sensors. RESULTS 23 SMA-patients were included (mean age at diagnosis 8 months [min 2, max 20], 19 SMA type 1, three type 2 and one presymptomatic) and 104 IMU-measurements were performed, all well accepted by families and 84/104 with a good child participation (evaluated with Brazelton scale). ||A||_95 and ||A||_CPM showed high internal consistency (without versus with a playset) with interclass correlation coefficient for the wrist sensors of 0.88 and 0.85 respectively and for the foot sensors of 0.93 and 0.91 respectively. ||A||_95 and ||A||_CPM were strongly correlated with CHOPINTEND (r for wrist sensors 0.74 and 0.67 respectively and for foot sensors 0.61 and 0.68 respectively, p-values < 0.001). ||A||_95 for the foot, the wrist, the elbow sensors and ||A||_CPM for the foot, the wrist, the elbow sensors increased significantly between baseline and the 12 months follow-up visit (respective p-values: 0.004, < 0.001, < 0.001, 0.006, < 0.001, < 0.001). CONCLUSION IMUs were well accepted, consistent, concurrently valid, responsive and associated with unaided sitting acquisition especially for the elbow sensors. This study is the first reporting a large set of inertial sensor derived data after GT in SMA patients and paves the way for IMU-based follow-up of SMA patients after treatment.
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Affiliation(s)
- R Barrois
- Department of Pediatric Neurology, French Reference Center for Neuromuscular Diseases, AP-HP, Hôpital Necker-Enfants Malades, 149 Rue de Sèvres, 75015, Paris, France.
- Clinical Neurophysiology Department, AP-HP, Hôpital Necker Enfants Malades, Paris, France.
- Université Paris Saclay, Université Paris Cité, ENS Paris Saclay, CNRS, SSA, INSERM, Centre Borelli, 91190, Gif-Sur-Yvette, France.
- Service d'explorations Fonctionnelles, Unité de Neurophysiologie Clinique, AP-HP Hôpital Necker, 149 Rue de Sèvres, 75015, Paris, France.
| | - B Tervil
- Université Paris Saclay, Université Paris Cité, ENS Paris Saclay, CNRS, SSA, INSERM, Centre Borelli, 91190, Gif-Sur-Yvette, France
| | - M Cacioppo
- Pediatric Neurology Unit, Children's Hospital, Geneva University Hospitals, 1205, Geneva, Switzerland
- LaTIM UMR 1101 Laboratory, Inserm, Brest, France
| | - C Barnerias
- Department of Pediatric Neurology, French Reference Center for Neuromuscular Diseases, AP-HP, Hôpital Necker-Enfants Malades, 149 Rue de Sèvres, 75015, Paris, France
| | - E Deladrière
- Department of Pediatric Neurology, French Reference Center for Neuromuscular Diseases, AP-HP, Hôpital Necker-Enfants Malades, 149 Rue de Sèvres, 75015, Paris, France
| | - V Leloup-Germa
- Department of Pediatric Neurology, French Reference Center for Neuromuscular Diseases, AP-HP, Hôpital Necker-Enfants Malades, 149 Rue de Sèvres, 75015, Paris, France
| | - A Hervé
- Department of Pediatric Neurology, French Reference Center for Neuromuscular Diseases, AP-HP, Hôpital Necker-Enfants Malades, 149 Rue de Sèvres, 75015, Paris, France
| | - L Oudre
- Université Paris Saclay, Université Paris Cité, ENS Paris Saclay, CNRS, SSA, INSERM, Centre Borelli, 91190, Gif-Sur-Yvette, France
| | - D Ricard
- Université Paris Saclay, Université Paris Cité, ENS Paris Saclay, CNRS, SSA, INSERM, Centre Borelli, 91190, Gif-Sur-Yvette, France
- Service de Neurologie, HIA Percy, Service de Santé des Armées, Clamart, France
| | - P P Vidal
- Université Paris Saclay, Université Paris Cité, ENS Paris Saclay, CNRS, SSA, INSERM, Centre Borelli, 91190, Gif-Sur-Yvette, France
| | - N Vayatis
- Université Paris Saclay, Université Paris Cité, ENS Paris Saclay, CNRS, SSA, INSERM, Centre Borelli, 91190, Gif-Sur-Yvette, France
| | - S Quijano Roy
- Pediatric Neurology and ICU Department, Garches Reference Center for Neuromuscular Diseases, AP-HP Paris-Saclay Université, Hôpital Raymond Poincaré (UVSQ), 104 Boulevard Raymond Poincaré, 92380, Garches, France
| | - S Brochard
- LaTIM UMR 1101 Laboratory, Inserm, Brest, France
- University Hospital of Brest, Brest, France
| | - C Gitiaux
- Department of Pediatric Neurology, French Reference Center for Neuromuscular Diseases, AP-HP, Hôpital Necker-Enfants Malades, 149 Rue de Sèvres, 75015, Paris, France
- Clinical Neurophysiology Department, AP-HP, Hôpital Necker Enfants Malades, Paris, France
| | - I Desguerre
- Department of Pediatric Neurology, French Reference Center for Neuromuscular Diseases, AP-HP, Hôpital Necker-Enfants Malades, 149 Rue de Sèvres, 75015, Paris, France
- Paris Cité University, IHU Imagine, 75015, Paris, France
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Celik HI, Yildiz A, Yildiz R, Mutlu A, Soylu R, Gucuyener K, Duyan-Camurdan A, Koc E, Onal EE, Elbasan B. Using the center of pressure movement analysis in evaluating spontaneous movements in infants: a comparative study with general movements assessment. Ital J Pediatr 2023; 49:165. [PMID: 38124131 PMCID: PMC10731817 DOI: 10.1186/s13052-023-01568-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 12/06/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND Researchers have attempted to automate the spontaneous movement assessment and have sought quantitative and objective methods over the past decade. The purpose of the study was to present a quantitative assessment method of spontaneous movement using center-of-pressure (COP) movement analysis. METHODS A total of 101 infants were included in the study. The infants were placed in the supine position on the force plate with the cranial-caudal orientation. In this position, the recording of video and COP movement data were made simultaneously for 3 min. Video recordings were used to observe global and detailed general movement assessment (GMA), and COP time series data were used to obtain quantitative movement parameters. RESULTS According to the global GMA, 13 infants displayed absent fidgety movements (FMs) and 88 infants displayed normal FMs. The binary logistic regression model indicated significant association between global GMA and COP movement parameters (chi-square = 20.817, p < 0.001). The sensitivity, specificity, and overall accuracy of this model were 85% (95% CI: 55-98), 83% (95% CI: 73-90), and 83% (95% CI: 74-90), respectively. The multiple linear regression model showed a significant association between detailed GMA (motor optimality score-revised/MOS-R) and COP movement parameters (F = 10.349, p < 0.001). The MOS-R total score was predicted with a standard error of approximately 1.8 points (6%). CONCLUSIONS The present study demonstrated the possible avenues for using COP movement analysis to objectively detect the absent FMs and MOS-R total score in clinical settings. Although the method presented in this study requires further validation, it may complement observational GMA and be clinically useful for infant screening purposes, particularly in clinical settings where access to expertise in observational GMA is not available.
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Affiliation(s)
- Halil Ibrahim Celik
- Bilge Çocuk Special Education and Rehabilitation Center, Beysukent, Çankaya, s06800, Ankara, Turkey.
| | - Ayse Yildiz
- Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Erzurum Technical University, Erzurum, Turkey
| | - Ramazan Yildiz
- Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Erzurum Technical University, Erzurum, Turkey
| | - Akmer Mutlu
- Faculty of Physical Therapy and Rehabilitation, Developmental and Early Physiotherapy Unit, Hacettepe University, Ankara, Turkey
| | - Ruhi Soylu
- Faculty of Medicine, Department of Biophysics, Hacettepe University, Ankara, Turkey
| | - Kivilcim Gucuyener
- Faculty of Medicine, Department of Pediatrics, Section of Pediatric Neurology, Gazi University, Ankara, Turkey
| | - Aysu Duyan-Camurdan
- Faculty of Medicine, Department of Pediatrics, Section of Social Pediatrics, Gazi University, Ankara, Turkey
| | - Esin Koc
- Faculty of Medicine, Department of Pediatrics, Section of Neonatal Medicine, Gazi University, Ankara, Turkey
| | - Eray Esra Onal
- Faculty of Medicine, Department of Pediatrics, Section of Neonatal Medicine, Gazi University, Ankara, Turkey
| | - Bulent Elbasan
- Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Gazi University, Ankara, Turkey
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Deng W, Marmelat V, Vanderbilt DL, Gennaro F, Smith BA. Barcoding, linear and nonlinear analysis of full-day leg movements in infants with typical development and infants at risk of developmental disabilities: Cross-sectional study. INFANCY 2023; 28:650-666. [PMID: 36921012 DOI: 10.1111/infa.12537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 02/20/2023] [Accepted: 02/24/2023] [Indexed: 03/16/2023]
Abstract
Traditional methods do not capture the multidimensional domains and dynamic nature of infant behavioral patterns. We aim to compare full-day, in-home leg movement data between infants with typical development (TD) and infants at risk of developmental disabilities (AR) using barcoding and nonlinear analysis. Eleven infants with TD (2-10 months) and nine infants AR (adjusted age: 2-14 months) wore a sensor on each ankle for 7 days. We calculated the standard deviation for linear variability and sample entropy (SampEn) of leg acceleration and angular velocity for nonlinear variability. Movements were also categorized into 16 barcoding states, and we calculated the SampEn and proportions of the barcoding. All variables were compared between the two groups using independent-samples t-test or Mann-Whitney U test. The AR group had larger linear variability compared to the TD group. SampEn was lower in the AR group compared to TD group for both acceleration and angular velocity. Two barcoding states' proportions were significantly different between the two groups. The results showed that nonlinear analysis and barcoding could be used to identify the difference of dynamic multidimensional movement patterns between infants AR and infants with TD. This information may help early diagnosis of developmental disabilities in the future.
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Affiliation(s)
- Weiyang Deng
- Division of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, California, USA
| | - Vivien Marmelat
- Department of Biomechanics, University of Nebraska Omaha, Omaha, Nebraska, USA
| | - Douglas L Vanderbilt
- Division of Developmental-Behavioral Pediatrics, Children's Hospital Los Angeles, Los Angeles, California, USA.,Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Federico Gennaro
- Division of Developmental-Behavioral Pediatrics, Children's Hospital Los Angeles, Los Angeles, California, USA
| | - Beth A Smith
- Division of Developmental-Behavioral Pediatrics, Children's Hospital Los Angeles, Los Angeles, California, USA.,Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.,Developmental Neuroscience and Neurogenetics Program, The Saban Research Institute, Los Angeles, California, USA
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Redd CB, Karunanithi M, Boyd RN, Barber LA. Technology-assisted quantification of movement to predict infants at high risk of motor disability: A systematic review. RESEARCH IN DEVELOPMENTAL DISABILITIES 2021; 118:104071. [PMID: 34507051 DOI: 10.1016/j.ridd.2021.104071] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 07/08/2021] [Accepted: 08/20/2021] [Indexed: 05/23/2023]
Abstract
AIM To systematically review the scientific literature to determine the predictive validity of technology-assisted measures of observable infant movement in infants less than six months of corrected age (CA) to identify high-risk of motor disability. METHOD A comprehensive search for randomised and non-randomised controlled trials, cohort studies and cross-comparison trials was performed on five electronic databases up to Feb 2021. Studies were included if they quantified infant movement before 6 months CA using some method of technology-assistance and compared the instrumented measure to a diagnostic clinical measure of neurodevelopment. Studies were excluded if they did not report a technology-assisted measure of infant movement. Methodological quality of the included studies was assessed using the Downs and Black scale. RESULTS 23 studies met the full inclusion and exclusion criteria. Methodological quality of the included papers ranged from 9 to 24 (out of 26) on the Downs and Black scale. Infant movement assessments included the General Movements Assessment (GMA) and domains of the Hammersmith Infant Neurological Assessment (HINE). Studies used 2D video recordings, RGB-Depth recordings, accelerometry, and electromagnetic motion tracking technologies to quantify movement. Analytical approaches and movement features of interest were individual and varied. Technology assisted quantitative assessments identified cases of later diagnosed CP with sensitivity 44-100 %, specificity 59-95 %, Area under the ROC Curve 82-93 %; and typical development with sensitivity range 30-46 %, specificity 88-95 %, Area under the ROC Curve 68 %. INTERPRETATION Technology-assisted assessments of movement in infants less than 6 months CA using current technologies are feasible. Validation of measurement tools are limited. Although methods and results appear promising clinical uptake of technology-assisted assessments remains limited.
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Affiliation(s)
- Christian B Redd
- CSIRO, The Australian e-Health Research Centre, Brisbane, Australia; The University of Queensland, Queensland Cerebral Palsy and Rehabilitation Research Centre, Child Health Research Centre, Faculty of Medicine, Brisbane, Australia.
| | | | - Roslyn N Boyd
- The University of Queensland, Queensland Cerebral Palsy and Rehabilitation Research Centre, Child Health Research Centre, Faculty of Medicine, Brisbane, Australia
| | - Lee A Barber
- The University of Queensland, Queensland Cerebral Palsy and Rehabilitation Research Centre, Child Health Research Centre, Faculty of Medicine, Brisbane, Australia; Griffith University, School of Health Sciences and Social Work, Nathan, Australia
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Deng W, Nishiyori R, Vanderbilt DL, Smith BA. How Many Days are Necessary to Represent Typical Daily Leg Movement Behavior for Infants at Risk of Developmental Disabilities? SENSORS 2020; 20:s20185344. [PMID: 32961954 PMCID: PMC7570480 DOI: 10.3390/s20185344] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 09/14/2020] [Accepted: 09/16/2020] [Indexed: 11/16/2022]
Abstract
BACKGROUND Movement characteristics can differentiate between infants at risk and infants with typical development. However, it is unknown how many days are needed to accurately represent typical daily behavior for infants at risk of developmental disabilities when using wearable sensors. To consider the balance between participant burden and the amount of data collected and optimizing the efficiency of data collection, our study determined (1) how many days were necessary to represent typical movement behavior for infants at risk of developmental disabilities and (2) whether movement behavior was different on weekend days and weekdays. METHODS We used Opal wearable sensors to collect at least 5 days of 11 infants' leg movement data. The standard (average of 5 days) was compared with four methods (average of the first 1/2/3/4 days) using the Bland-Altman plots and the Spearman correlation coefficient. We also compared the data from the average of 2 weekend days to the average of the first 2 weekdays for 8 infants. RESULTS The Spearman correlation coefficient comparing the average of the first 2 days of data and the standards were all above 0.7. The absolute differences between them were all below 10% of the standards. The Bland-Altman plots showed more than 90% of the data points comparing the average of 2 days and the standards fell into the limit of agreement for each variable. The absolute difference between weekend days and weekdays for the leg movement rate, duration, average acceleration, and peak acceleration was 15.2%, 1.7%, 6.8% and 6.3% of the corresponding standard, respectively. CONCLUSION Our results suggest 2 days is the optimal amount of data to represent typical daily leg movement behavior of infants at risk of developmental disabilities while minimizing participant burden. Further, leg movement behavior did not differ distinctly across weekend days and weekdays. These results provide supportive evidence for an efficient amount of data collections when using wearable sensors to evaluate movement behavior in infants at risk of developmental disabilities.
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Affiliation(s)
- Weiyang Deng
- Division of Biokinesiology and Physical Therapy, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA 90033, USA
- Correspondence:
| | - Ryota Nishiyori
- Children’s Hospital Los Angeles, Los Angeles, CA 90027, USA; (R.N.); (B.A.S.)
| | - Douglas L. Vanderbilt
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA 90027, USA;
| | - Beth A. Smith
- Children’s Hospital Los Angeles, Los Angeles, CA 90027, USA; (R.N.); (B.A.S.)
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA 90027, USA;
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6
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Romeo DM, Ricci M, Picilli M, Foti B, Cordaro G, Mercuri E. Early Neurological Assessment and Long-Term Neuromotor Outcomes in Late Preterm Infants: A Critical Review. ACTA ACUST UNITED AC 2020; 56:medicina56090475. [PMID: 32942722 PMCID: PMC7558342 DOI: 10.3390/medicina56090475] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Revised: 09/08/2020] [Accepted: 09/11/2020] [Indexed: 11/16/2022]
Abstract
Background and Objectives: Late preterm (LP) infants (born between 34 and 36 weeks of gestational age) are considered at higher risk of neonatal morbidities, mortality, and neurological impairments than full-term born infants (FT). The aim of this study was to provide a critical review of the literature outlining the different aspects of neurological function reported both in the neonatal period and in the follow up of late preterm infants. Materials and Methods: A comprehensive search of the MEDLINE, Embase, PsycINFO, and CINAHL electronic databases was made, using the following search terms: ‘Late preterm infants’, ‘Near term infants’, ‘neurological assessment’, ‘neurological outcome’, ‘neuromotor outcome’, cerebral palsy’, ‘CP’, ‘motor impairment’, including all the studies reporting clinical neurological assessment of LP (including both neonatal period and subsequent ages). Results: A total of 35 articles, comprising 301,495 children, were included as fulfilling the inclusion criteria: ten reported neonatal neurological findings, seven reported data about the first two years after birth, eighteen reported data about incidence of CP and motor disorder during the infancy. Results showed a more immature neurological profile, explored with structured neurological assessments, in LP infants compared with FT infants. The LP population also had a higher risk of developing cerebral palsy, motor delay, and coordination disorder. Conclusion: LP had a higher risk of neurological impairments than FT infants, due to a brain immaturity and an increased vulnerability to injury, as the last weeks of gestational age are crucial for the development of the brain.
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Affiliation(s)
- Domenico M. Romeo
- Pediatric Neurology Unit, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00146 Rome, Italy; (M.R.); (M.P.); (B.F.); (G.C.); (E.M.)
- Pediatric Neurology Unit, Università Cattolica del Sacro Cuore, 00146 Rome, Italy
- Correspondence: ; Tel.: +39-06-3015-6307; Fax: +39-906-3015-4363
| | - Martina Ricci
- Pediatric Neurology Unit, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00146 Rome, Italy; (M.R.); (M.P.); (B.F.); (G.C.); (E.M.)
- Pediatric Neurology Unit, Università Cattolica del Sacro Cuore, 00146 Rome, Italy
| | - Maria Picilli
- Pediatric Neurology Unit, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00146 Rome, Italy; (M.R.); (M.P.); (B.F.); (G.C.); (E.M.)
- Pediatric Neurology Unit, Università Cattolica del Sacro Cuore, 00146 Rome, Italy
| | - Benedetta Foti
- Pediatric Neurology Unit, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00146 Rome, Italy; (M.R.); (M.P.); (B.F.); (G.C.); (E.M.)
- Pediatric Neurology Unit, Università Cattolica del Sacro Cuore, 00146 Rome, Italy
| | - Giorgia Cordaro
- Pediatric Neurology Unit, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00146 Rome, Italy; (M.R.); (M.P.); (B.F.); (G.C.); (E.M.)
- Pediatric Neurology Unit, Università Cattolica del Sacro Cuore, 00146 Rome, Italy
| | - Eugenio Mercuri
- Pediatric Neurology Unit, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00146 Rome, Italy; (M.R.); (M.P.); (B.F.); (G.C.); (E.M.)
- Pediatric Neurology Unit, Università Cattolica del Sacro Cuore, 00146 Rome, Italy
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