Self-reported outcomes and patterns of service engagement after an acquired brain injury: a long-term follow-up study.

Primary Objective: To describe the clinical characteristics, self-reported outcomes in domains relating to activities of daily living and patterns of service engagement in the survivors of a moderate-to-severe acquired brain injury over seven years.

Research Design: A longitudinal research design was used.

Methods And Procedures: Thirty-two individuals who sustained a moderate-to-severe acquired brain injury completed a Sociodemographic and Support Questionnaire at one (t1) and seven years (t2) after completing a publicly funded inpatient neurorehabilitation program.

Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology.

We propose an adaptation of a convolutional neural network (CNN) scheme proposed for segmenting brain lesions with considerable mass-effect, to segment white matter hyperintensities (WMH) characteristic of brains with none or mild vascular pathology in routine clinical brain magnetic resonance images (MRI). This is a rather difficult segmentation problem because of the small area (i.e.

Decreased frontal, striatal and cerebellar activation in adults with ADHD during an adaptive delay discounting task.

An important characteristic of childhood attention-deficit/hyperactivity disorder (ADHD) is a bias towards small immediate versus larger delayed rewards, but it is not known if this symptom is also a feature of adult ADHD. A delay-discounting task was administered to participants with adult ADHD and a comparison group in conjunction with functional magnetic resonance imaging. Participants responded to a series of questions that required judgments between small sums of money available immediately and larger sums obtained after a temporal delay.