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te Velde A, Morgan C, Novak I, Tantsis E, Badawi N. Early Diagnosis and Classification of Cerebral Palsy: An Historical Perspective and Barriers to an Early Diagnosis. J Clin Med 2019; 8:E1599. [PMID: 31623303 PMCID: PMC6832653 DOI: 10.3390/jcm8101599] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 09/24/2019] [Accepted: 09/25/2019] [Indexed: 12/18/2022] Open
Abstract
Since the 1800s, there have been calls in the literature for the early diagnosis of cerebral palsy (CP). However, diagnosis still often occurs late, from 12 to 24 months in high income countries and as late as 5 years in low resource settings. This is after the optimal timeframe for applying interventions which could harness neuroplastic potential in the developing brain. Multiple barriers exist which affect clinicians' confidence in diagnosing CP early. These range from the lack of definitive biomarkers to a lack of curative treatments for CP. Further barriers to diagnosis are proposed including; (a) difficulty finding a congruent fit with the definition of CP in an infant, where expected activity limitations might not yet be apparent; and (b) differences in the presentation of motor type and topography classifications between infants and children. These barriers may affect a clinicians' confidence using "pattern recognition" in the differential diagnosis process. One of the central tenets of this paper is that diagnosis and classification are different, involving different instruments, and are more accurately conducted separately in infants, whereas they are fundamentally interconnected in older children and inform therapeutic decisions. Furthermore, we need to be careful not to delay early diagnosis because of the low reliability of early classification, but instead uncouple these two processes. Ongoing implementation of best practice for early detection requires creative solutions which might include universal screening for CP. Implementation and accompanying knowledge translation studies are underway to decrease the average age of diagnosis in CP.
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Affiliation(s)
- Anna te Velde
- Cerebral Palsy Alliance, Discipline of Child and Adolescent Health, Faculty of Medicine and Health, The University of Sydney, New South Wales 2050, Australia.
- Discipline of Child and Adolescent Health, Faculty of Medicine and Health, The University of Sydney, New South Wales 2145, Australia.
| | - Catherine Morgan
- Cerebral Palsy Alliance, Discipline of Child and Adolescent Health, Faculty of Medicine and Health, The University of Sydney, New South Wales 2050, Australia.
- Discipline of Child and Adolescent Health, Faculty of Medicine and Health, The University of Sydney, New South Wales 2145, Australia.
| | - Iona Novak
- Cerebral Palsy Alliance, Discipline of Child and Adolescent Health, Faculty of Medicine and Health, The University of Sydney, New South Wales 2050, Australia.
- Discipline of Child and Adolescent Health, Faculty of Medicine and Health, The University of Sydney, New South Wales 2145, Australia.
| | - Esther Tantsis
- TJ Nelson Department of Neurology & Neurosurgery, The Children's Hospital at Westmead, New South Wales 2145, Australia.
| | - Nadia Badawi
- Cerebral Palsy Alliance, Discipline of Child and Adolescent Health, Faculty of Medicine and Health, The University of Sydney, New South Wales 2050, Australia.
- Discipline of Child and Adolescent Health, Faculty of Medicine and Health, The University of Sydney, New South Wales 2145, Australia.
- The Grace Centre for Newborn Intensive Care, The Children's Hospital at Westmead, Hawkesbury Road, Westmead NSW 2145, Australia.
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Makris T, Dorstyn D, Crettenden A. Quality of life in children and adolescents with cerebral palsy: a systematic review with meta-analysis. Disabil Rehabil 2019; 43:299-308. [PMID: 31180733 DOI: 10.1080/09638288.2019.1623852] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
BACKGROUND Cerebral palsy has been linked to decreased quality of life. However use of self- versus proxy-perspectives and norm-sample comparisons to examine quality of life impact may produce different results. AIMS To compare quality of life ratings in children and adolescents with cerebral palsy relative to typically developing peers in consideration of sample and methodological moderators on estimated effects. METHODS Eleven independent studies, comprising a pooled sample of 1475 families living with cerebral palsy and 42119 peers, were identified. Study reporting quality was evaluated with the QualSyst tool and standardised mean group differences (Hedges' g) with associated confidence intervals and p values calculated. Heterogeneity was examined using a random effects model. RESULTS All studies provided good to excellent methodological and statistical detail. Physical quality of life was significantly impaired among those with cerebral palsy (g range: -0.42 to -1.58). However, inconsistent findings were noted in relation to the effect of cerebral palsy on psychological (g range: 0.04 to -0.80) and social quality of life (g range: -0.80 to -0.51), depending on the measurement used. There was a trend for parents to evaluate their child's physical quality of life lower than child-reported scores. CONCLUSIONS Physical quality of life is, invariably, more affected in those with cerebral palsy. The connection between cerebral palsy and psychosocial quality of life is less clear. Noted parent-child discrepancies highlight the value of a multi-informant approach to child quality of life assessment. Implications for rehabilitation Quality of life is an important health-related outcome in cerebral palsy research and practice. Collecting both self-report and proxy data can help to highlight quality of life issues that are salient to the parent and to the child or adolescent with cerebral palsy. Selection of the appropriate quality of life instrument depends on the assessment purpose, with available measures varying in their focus on functionality, subjectivity and illness-specific items. Quality of life assessment of children with cerebral palsy should extend beyond functional abilities to include less obvious, but critical, psychological and social issues.
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Affiliation(s)
- Tina Makris
- Faculty of Health and Medical Sciences, School of Psychology, University of Adelaide, Adelaide, Australia
| | - Diana Dorstyn
- Faculty of Health and Medical Sciences, School of Psychology, University of Adelaide, Adelaide, Australia
| | - Angela Crettenden
- Faculty of Health and Medical Sciences, School of Psychology, University of Adelaide, Adelaide, Australia
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Huggins JE, Guger C, Ziat M, Zander TO, Taylor D, Tangermann M, Soria-Frisch A, Simeral J, Scherer R, Rupp R, Ruffini G, Robinson DKR, Ramsey NF, Nijholt A, Müller-Putz G, McFarland DJ, Mattia D, Lance BJ, Kindermans PJ, Iturrate I, Herff C, Gupta D, Do AH, Collinger JL, Chavarriaga R, Chase SM, Bleichner MG, Batista A, Anderson CW, Aarnoutse EJ. Workshops of the Sixth International Brain-Computer Interface Meeting: brain-computer interfaces past, present, and future. BRAIN-COMPUTER INTERFACES 2017; 4:3-36. [PMID: 29152523 PMCID: PMC5693371 DOI: 10.1080/2326263x.2016.1275488] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The Sixth International Brain-Computer Interface (BCI) Meeting was held 30 May-3 June 2016 at the Asilomar Conference Grounds, Pacific Grove, California, USA. The conference included 28 workshops covering topics in BCI and brain-machine interface research. Topics included BCI for specific populations or applications, advancing BCI research through use of specific signals or technological advances, and translational and commercial issues to bring both implanted and non-invasive BCIs to market. BCI research is growing and expanding in the breadth of its applications, the depth of knowledge it can produce, and the practical benefit it can provide both for those with physical impairments and the general public. Here we provide summaries of each workshop, illustrating the breadth and depth of BCI research and highlighting important issues and calls for action to support future research and development.
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Affiliation(s)
- Jane E. Huggins
- Department of Physical Medicine and Rehabilitation, Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA
| | - Christoph Guger
- G.Tec Medical Engineering GmbH, Guger Technologies OG, Schiedlberg, Austria
| | - Mounia Ziat
- Psychology Department, Northern Michigan University, Marquette, MI, USA
| | - Thorsten O. Zander
- Team PhyPA, Biological Psychology and Neuroergonomics, Technical University of Berlin, Berlin, Germany
| | | | - Michael Tangermann
- Cluster of Excellence BrainLinks-BrainTools, University of Freiburg, Germany
| | | | - John Simeral
- Ctr. For Neurorestoration and Neurotechnology, Rehab. R&D Service, Dept. of VA Medical Center, School of Engineering, Brown University, Providence, RI, USA
| | - Reinhold Scherer
- Institute of Neural Engineering, BCI- Lab, Graz University of Technology, Graz, Austria
| | - Rüdiger Rupp
- Section Experimental Neurorehabilitation, Spinal Cord Injury Center, University Hospital in Heidelberg, Heidelberg, Germany
| | - Giulio Ruffini
- Neuroscience Business Unit, Starlab Barcelona SLU, Barcelona, Spain
- Neuroelectrics Inc., Boston, USA
| | - Douglas K. R. Robinson
- Institute: Laboratoire Interdisciplinaire Sciences Innovations Sociétés (LISIS), Université Paris-Est Marne-la-Vallée, MARNE-LA-VALLÉE, France
| | - Nick F. Ramsey
- Dept Neurology & Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, University of Utrecht, Utrecht, Netherlands
| | - Anton Nijholt
- Faculty EEMCS, Enschede, University of Twente, The Netherlands & Imagineering Institute, Iskandar, Malaysia
| | - Gernot Müller-Putz
- Institute of Neural Engineering, BCI- Lab, Graz University of Technology, Graz, Austria
| | - Dennis J. McFarland
- New York State Department of Health, National Center for Adaptive Neurotechnologies, Wadsworth Center, Albany, New York USA
| | - Donatella Mattia
- Clinical Neurophysiology, Fondazione Santa Lucia, Neuroelectrical Imaging and BCI Lab, IRCCS, Rome, Italy
| | - Brent J. Lance
- Human Research and Engineering Directorate, U.S. Army Research Laboratory, Aberdeen Proving Ground, Aberdeen, MD USA
| | | | - Iñaki Iturrate
- Defitech Chair in Brain–machine Interface (CNBI), Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne, EPFL-STI-CNBI, Campus Biotech H4, Geneva, Switzerland
| | - Christian Herff
- Cognitive Systems Lab, University of Bremen, Bremen, Germany
| | - Disha Gupta
- Brain Mind Research Inst, Weill Cornell Medical College, Early Brain Injury and Recovery Lab, Burke Medical Research Inst, White Plains, New York, USA
| | - An H. Do
- Department of Neurology, UC Irvine Brain Computer Interface Lab, University of California, Irvine, CA, USA
| | - Jennifer L. Collinger
- Department of Physical Medicine and Rehabilitation, Department of Veterans Affairs, VA Pittsburgh Healthcare System, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ricardo Chavarriaga
- Defitech Chair in Brain–machine Interface (CNBI), Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne, EPFL-STI-CNBI, Campus Biotech H4, Geneva, Switzerland
| | - Steven M. Chase
- Center for the Neural Basis of Cognition and Department Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Martin G. Bleichner
- Neuropsychology Lab, Department of Psychology, European Medical School, Cluster of Excellence Hearing4all, University of Oldenburg, Oldenburg, Germany
| | - Aaron Batista
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA USA
| | - Charles W. Anderson
- Department of Computer Science, Colorado State University, Fort Collins, CO USA
| | - Erik J. Aarnoutse
- Brain Center Rudolf Magnus, Dept Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands
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