Fronto-parietal white matter microstructure associated with working memory performance in children with ADHD.

INTRODUCTION: Attention Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder with many functional impairments thought to be underpinned by difficulties in executive function domains such as working memory. The superior longitudinal fasciculus (SLF) plays an integral role in the development of working memory in neurotypical children. Neuroimaging research suggests reduced white matter organization of the SLF may contribute to working memory difficulties commonly seen in ADHD. This study aimed to examine the relationship between white matter organization of the SLF and working memory in children with ADHD. METHODS: We examined the association of tract volume and apparent fibre density (AFD) of the SLF with working memory in children with ADHD (n = 64) and controls (n = 58) aged 9-11years. Children completed a computerized spatial n-back task and underwent diffusion magnetic resonance imaging (dMRI). Constrained spherical deconvolution-based tractography was used to construct the three branches of the SLF bilaterally and examine volume and AFD of the SLF. RESULTS: Regression analyses revealed children with ADHD exhibited poorer working memory, and lower volume and AFD of the left SLF-II compared to healthy controls. There was also an association between reaction time and variability (RT and RT-V) and the left SLF-II. Further analyses revealed volume of the left SLF-II mediated the relationship between ADHD and working memory performance (RT and RT-V). DISCUSSION: These findings add to the current body of ADHD literature, revealing the potential role of frontoparietal white matter in working memory difficulties in ADHD.

What Makes for a Successful Digital Health Integrated Program of Work? Lessons Learnt and Recommendations From the Melbourne Children's Campus.

Embedding digital technologies in healthcare has the potential to streamline and personalize medical care. However, healthcare systems are often fragmented, and therefore achieving a truly integrated digital health program can be challenging. To promote a streamlined, evidence-based approach to implementing digital health solutions in a healthcare system, the Murdoch Children's Research Institute (MCRI) established the Digital Health Translation and Implementation Program (DHTI) bringing together clinicians, researchers and digital health experts. From the program commencement, frontline clinical innovators have collaborated with DHTI team members to develop and implement digital solutions to address pain-points in the healthcare system. Throughout this program, important lessons have been learnt relating to the development, evaluation and implementation of digital solutions in the healthcare system. This paper explores these lessons and makes recommendations for the successful implementation of digital health solutions in healthcare systems under five main categories: (1) design and usability, (2) stakeholder engagement and uptake, (3) project management and resourcing, (4) process and implementation, and (5) evaluation. Recommendations suggested here are designed to support future healthcare-based digital health programs to maximize the impact digital solutions can have on the healthcare system and patients.