Hanan Hassan Fouad

OBJECTIVES: To investigate the relationship between scapular alignment and upper extremity function.

METHODS: Eighty-five children (63 boys and 22 girls) with spastic hemiplegic cerebral palsy aged 3 to 6 years were included in the study. Scapular upward rotation was assessed using Postural Zone software, and upper extremity function was assessed using the Pediatric Arm Function Test.

RESULTS: There was a significant difference (p = .0001) in the degree of upward scapular rotation between less affected and affected sides (-41.78 ± 4.87 and -26.42 ± 6.34, respectively). There was a significant difference (p = .0001) between the function of the upper extremity of the affected side and the less affected sides (48.15 ± 14.37, 62.1 ± 6.62, respectively). Pearson Correlation Coefficient (r) was calculated, and there was a strong negative significant correlation between the degree of scapular upward rotation of the affected side, a unilateral score of the affected side, and the total score of the Pediatric Arm Function Test (r = -0.976, p = .0001 and r = -0.973, p = .0001, respectively). The correlation between symmetry index and total score of the Pediatric Arm Function Test was a strong positive significant correlation (r = 0.946, p = .0001).

CONCLUSION: The degree of upward scapular rotation was less on the affected side. Scapular alignment and symmetry may contribute to upper extremity function in children with hemiplegic cerebral palsy. Clinically, correction of scapular deviations may be considered in the rehabilitation program for children with hemiplegic cerebral palsy. This study suggests further experimental studies to find the cause and effect.

Neural plasticity is the ability of the brain to alter itself functionally and structurally as a result of its experience. However, longitudinal changes in functional connectivity of the brain are still unrevealed in Alzheimer's disease (AD). This study aims to discover the significant connections (SCs) between brain regions for AD stages longitudinally using correlation transfer function (CorrTF) as a new biomarker for the disease progression. The dataset consists of: 29 normal controls (NC), and 23, 24, and 23 for early, late mild cognitive impairments (EMCI, LMCI), and ADs, respectively, along three distant visits. The brain was divided into 116 regions using the automated anatomical labeling atlas, where the intensity time series is calculated, and the CorrTF connections are extracted for each region. Finally, the standard t-test and ANOVA test were employed to investigate the SCs for each subject's visit. No SCs, along three visits, were found For NC subjects. The most SCs were mainly directed from cerebellum in case of EMCI and LMCI. Furthermore, the hippocampus connectivity increased in LMCI compared to EMCI whereas missed in AD. Additionally, the patterns of longitudinal changes among the different AD stages compared to Pearson Correlation were similar, for SMC, VC, DMN, and Cereb networks, while differed for EAN and SN networks. Our findings define how brain changes over time, which could help detect functional changes linked to each AD stage and better understand the disease behavior.