Articles: traumatic-brain-injuries.
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Journal of neurotrauma · Jan 2015
Noninvasive brain stimulation for persistent postconcussion symptoms in mild traumatic brain injury.
Mild traumatic brain injury (mTBI) is typically followed by various postconcussive symptoms (PCS), including headache, depression, and cognitive deficits. In 15-25% of cases, PCS persists beyond the usual 3-month recovery period, interfering with activities of daily living and responding poorly to pharmacotherapy. We tested the safety, tolerability, and efficacy of repetitive transcranial magnetic stimulation (rTMS) over the left dorsolateral prefrontal cortex (DLPFC) for alleviating PCS. ⋯ Participants also reported positive outcomes such as less sleep disturbance (n = 3), and better mental focus (n = 3). On average, PCS scores declined by 14.6 points (p = 0.009) and fMRI task-related activation peaks in the DLPFC increased after rTMS. rTMS is safe, tolerated by most patients with mTBI, and associated with both a reduction in severity of PCS and an increase in task-related activations in DLPFC. Assessment of this intervention in a randomized, control trial is warranted.
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Child traumatic brain injury (TBI) is a major cause of disability in early life. Unlike in adults, a TBI in childhood causes an insult to a brain that is developing, potentially affecting future brain maturation, neural connectivity, and the acquisition of new skills. This review considers how such early brain insult may impact children's functional abilities, and how these processes may link with differential patterns of recovery across infancy, childhood, and adolescence. ⋯ To assist in understanding what may contribute to outcomes, we discuss predictive factors (injury severity, child and environment status) and research reporting on their individual and combined effect on recovery. The identification of such outcome predicators has led to an emerging literature in the area of intervention and rehabilitation that we also summarize. Finally, it concludes with discussion of the future direction of pediatric TBI research.
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NeuroImage. Clinical · Jan 2015
White matter and reading deficits after pediatric traumatic brain injury: A diffusion tensor imaging study.
Pediatric traumatic brain injury often results in significant long-term deficits in mastery of reading ability. This study aimed to identify white matter pathways that, when damaged, predicted reading deficits in children. Based on the dual-route model of word reading, we predicted that integrity of the inferior fronto-occipital fasciculus would be related to performance in sight word identification while integrity of the superior longitudinal fasciculus would be related to performance in phonemic decoding. ⋯ No association was identified between the inferior fronto-occipital fasciculus and sight word reading or phonemic decoding. Reading fluency was associated with the integrity of the cingulum bundle. These findings support dissociable pathways predicting word reading and fluency using Diffusion Tensor Imaging and provide additional information for developing models of acquired reading deficits by specifying areas of brain damage which may predict reading deficits following recovery from the acute phase of TBI.
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Brain injury : [BI] · Jan 2015
Mild traumatic brain injury defined by Glasgow Coma Scale: Is it really mild?
Conventionally, a Glasgow Coma Scale (GCS) score of 13-15 defines mild traumatic brain injury (mTBI). The aim of this study was to identify the factors that predict progression on repeat head computed tomography (RHCT) and neurosurgical intervention (NSI) in patients categorized as mild TBI with intracranial injury (intracranial haemorrhage and/or skull fracture). ⋯ In patients with intracranial injury, a mild GCS score (GCS 13-15) in patients with an intracranial injury does not preclude progression on repeat head CT and the need for a neurosurgical intervention. Base deficit greater than four and displaced skull fracture are the greatest predictors for neurosurgical intervention in patients with mild TBI and an intracranial injury.
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Despite exciting advances in the functional imaging of the brain, it remains a challenge to define regions of interest (ROIs) that do not require investigator supervision and permit examination of change in networks over time (or plasticity). Plasticity is most readily examined by maintaining ROIs constant via seed-based and anatomical-atlas based techniques, but these approaches are not data-driven, requiring definition based on prior experience (e.g., choice of seed-region, anatomical landmarks). These approaches are limiting especially when functional connectivity may evolve over time in areas that are finer than known anatomical landmarks or in areas outside predetermined seeded regions. ⋯ In this paper we propose an approach, aggregate-initialized label propagation (AILP), which allows for data at separate time points to be compared for examining developmental processes resulting in network change (plasticity). To do so, we use a whole-brain modularity approach to parcellate the brain into anatomically constrained functional modules at separate time points and then apply the AILP algorithm to form a consensus set of ROIs for examining change over time. To demonstrate its utility, we make use of a known dataset of individuals with traumatic brain injury sampled at two time points during the first year of recovery and show how the AILP procedure can be applied to select regions of interest to be used in a graph theoretical analysis of plasticity.