The Alberta Infant Motor Scale (AIMS) is a gross motor assessment with excellent psychometric properties and clinical utility when used face-to-face. The AIMS assessment delivered via synchronous telehealth shows excellent agreement with face-to-face assessment. Telehealth is a suitable alternative to face-to-face AIMS assessment, particularly for older infants.
Childhood cerebral adrenoleukodystrophy (CCALD) can present as a first-time seizure early enough in the disease course to allow for disease-modifying therapy. Seizure severity correlates with disease burden on MRI (Loes ≥6) and more advanced clinical symptoms. The prevalence of seizures in CCALD appears higher than previously recognized, indicating that X-linked adrenoleukodystrophy should be in the differential diagnosis for males presenting with first-time seizure.
Left: Distribution of NIH funding, as percentages, for different categories within the CP portfolio. Right: NIH allocation, in dollars, for stroke, autism spectrum disorders, Parkinson#x00027;s disease, multiple sclerosis, and cerebral palsy.
GMFM-66-IS scores were supported by strong construct validity and moderate responsiveness evidence for use with infants and toddlers at high risk for CP.
Types of signals monitored in children's natural environments using wearable sensors, and their associated applications in various paediatric neurological conditions.
This systematic review examined the association and diagnostic accuracy of MRI acquired < 36 weeks postmenstral age to detect cerebral palsy and other adverse motor outcomes at or beyond 3 years corrected age in infants born preterm.
201 infants at risk for developmental disorders were assessed using two General Movements Assessments (GMA) and one Hammersmith Infant Neurological Examination (HINE), integrated into routine follow up care. Developmental outcome was assessed with a neurologic examination at 2 years, and the Bayley Scales of Infant and Toddler Development at 2 - 3.5 years of age. Using a combination of GMA measures and the HINE, CP was predicted with 100% sensitivity, and non-CP delays were predicted with 83%-87% sensitivity. Although specificity was lower, this approach provides a practical method of identifying most infants who will benefit from early intervention therapy, even in countries such as Sri Lanka where access to neuroimaging and specialist care is limited..
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