Neuropsychological scores and WeeFIM cognitive ratings of children with traumatic brain injury: A brief report

McBride, Thomas

doi:10.3109/02699052.2015.1022881

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…Concerning the WeeFIM, it is important to note that the subcategories included in the cognition subscale (comprehension, expression, social interaction, problem solving and memory) are used to measure the general health and functional independence of patients with just one score for each item (1 for total assistance to 7 for complete independence). Nevertheless, studies have shown significant associations between more detailed measures of neuropsychological performance and WeeFIM scores for daily cognitive functions [29]. In the present study, the apparent link between the FA in the CC, injury scores, and the cognitive and memory subcategories of the WeeFIM is supported by a link between CC FA, injury scores, and the working memory and processing speed subscales of the WISC-IV.…”

Section: Discussionsupporting

confidence: 63%

Magnetic resonance imaging markers reflect cognitive outcome after rehabilitation in children with acquired brain injury

Ressel

Berati

Raselli

et al. 2020

European Journal of Radiology

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To test markers from conventional and diffusion Magnetic Resonance Imaging (MRI) as possible predictors of cognitive outcome following rehabilitation therapy in children with acquired brain injury (ABI). Methods: Twenty-one children (10 boys, mean age 11.6 years, range 7.1-19.4) with stroke or traumatic brain injury underwent MRI including Diffusion Tensor Imaging (DTI) before admission to the rehabilitation centre. The conventional images were scored according to a standardised injury scoring system, and mean Fractional Anisotropy (FA) was determined within the Corpus Callosum (CC), as this structure is hypothesised to play an important role in cognition. Both conventional MRI injury scores and mean FA of the CC and its sub-regions were compared with standard functional cognitive outcome scores. Relationships between MRI indices and cognitive outcome scores were assessed using multiple regression and receiver operating characteristic (ROC) analyses. Results: A backwards regression analysis revealed that the mean FA of the CC body and genu and the supratentorial injury score appear to represent the best predictors of outcome, together with the age at rehabilitation and time in rehabilitation. In the ROC analysis, the mean FA values of the CC body and genu and the infratentorial injury score provided the highest sensitivity, while the mean FA of the CC splenium showed the highest specificity for outcome. Conclusions: The conventional MRI injury scores and DTI metrics from the CC reflect cognitive outcomes following rehabilitation. Neuroimaging methods such as MRI with DTI may therefore provide important markers for cognitive recovery after brain injury.

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Section: Discussionsupporting

confidence: 63%

Magnetic resonance imaging markers reflect cognitive outcome after rehabilitation in children with acquired brain injury

Ressel

Berati

Raselli

et al. 2020

European Journal of Radiology

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“…Additionally, the WeeFIM shows a ceiling effect since it measures the presence or absence of deficits and not maximal memory capacity. However, in pediatric patients showing memory deficits, WeeFIM memory scores and memory scores assessed using neuropsychological tests correspond well (McBride, 2015). We used the WeeFIM because it was the only available longitudinal assessment.…”

Section: Limitationsmentioning

confidence: 94%

Neural correlates of memory recovery: Preliminary findings in children and adolescents with acquired brain injury

Mouthon

Meyer-Heim

Huber

et al. 2021

Restorative Neurology and Neuroscience

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Background: After acquired brain injury (ABI), patients show various neurological impairments and outcome is difficult to predict. Identifying biomarkers of recovery could provide prognostic information about a patient’s neural potential for recovery and improve our understanding of neural reorganization. In healthy subjects, sleep slow wave activity (SWA, EEG spectral power 1–4.5 Hz) has been linked to neuroplastic processes such as learning and brain maturation. Therefore, we suggest that SWA might be a suitable measure to investigate neural reorganization underlying memory recovery. Objectives: In the present study, we used SWA to investigate neural correlates of recovery of function in ten paediatric patients with ABI (age range 7–15 years). Methods: We recorded high-density EEG (128 electrodes) during sleep at the beginning and end of rehabilitation. We used sleep EEG data of 52 typically developing children to calculate age-normalized values for individual patients. In patients, we also assessed every-day life memory impairment at the beginning and end of rehabilitation. Results: In the course of rehabilitation, memory recovery was paralleled by longitudinal changes in SWA over posterior parietal brain areas. SWA over left prefrontal and occipital brain areas at the beginning of rehabilitation predicted memory recovery. Conclusions: We show that longitudinal sleep-EEG measurements are feasible in the clinical setting. While posterior parietal and prefrontal brain areas are known to belong to the memory “core network”, occipital brain areas have never been related to memory. While we have to remain cautious in interpreting preliminary findings, we suggest that SWA is a promising measure to investigate neural reorganization.

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“…The predictors of WeeFIM outcomes have been explored in children with TBI [39][40][41][42][43] or in other clinical populations, such as patients with active epilepsy [44] or those diagnosed with anti-N-methyl-D-aspartate receptor encephalitis [45] or myelomeningocele pediatric patients [46].…”

Section: Introductionmentioning

confidence: 99%

Processing Speed and Time since Diagnosis Predict Adaptive Functioning Measured with WeeFIM in Pediatric Brain Tumor Survivors

Oprandi

Oldrati

Fave

et al. 2021

Cancers

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(1) Background: Brain tumor (BT) survivors show difficulties in the acquisition of developmental milestones, related to academic achievement, vocational employment, social relationships, and autonomy. The skills underlying adaptive functioning (AF) are usually damaged in BT survivors due to the presence of the brain tumor, treatment-related factors, and other neurological sequelae. In this study, we aimed to explore the contribution of different cognitive factors in children with BT to AF, considering diagnosis-related variables. (2) Methods: Standardized cognitive assessment was undertaken and clinical information was collected from a retrospective cohort of 78 children with a BT, aged between 6 and 18 year old at the time of the assessment. Regression models were computed to investigate the influence of the selected variables on daily functional skills as measured by the Functional Independence Measure for Children (WeeFIM). (3) Results: The analyses showed that the main explanatory variables are processing speed and time since diagnosis. Other clinical variables, such as age at diagnosis and hydrocephalus, differentially influence functional skills according to distinct domains (i.e., self-care, mobility, and cognition). (4) Conclusions: The main explanatory variables of AF that emerged in our models point to a potential target of improving AF management in pediatric BT survivors.

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Neuropsychological scores and WeeFIM cognitive ratings of children with traumatic brain injury: A brief report

Abstract: Results support the hypothesis of significant relationships between neuropsychological performance and WeeFIM ratings of children with TBI and support generalizability of neuropsychological performance to daily cognitive functioning.

Cited by 5 publications

References 12 publications

Magnetic resonance imaging markers reflect cognitive outcome after rehabilitation in children with acquired brain injury

Magnetic resonance imaging markers reflect cognitive outcome after rehabilitation in children with acquired brain injury

Neural correlates of memory recovery: Preliminary findings in children and adolescents with acquired brain injury

Processing Speed and Time since Diagnosis Predict Adaptive Functioning Measured with WeeFIM in Pediatric Brain Tumor Survivors

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