Shared Decision Making and Disease Modifying Therapy in Families of Children and Adolescents with Pediatric Onset Multiple Sclerosis.

BACKGROUND: Deciding on a disease modifying therapy (DMT) for the treatment of pediatric onset multiple sclerosis (POMS) often presents a challenge to families. Parents are often overwhelmed by DMT choices, but they desire to be an integral part of the decision making process for their child. There is no standard approach for how best to involve families in this process. The aim of this study was to describe the experience of decision making related to the use of disease modifying therapy in parents of children and adolescents with POMS. METHODS: The research aim was addressed using a descriptive survey design. Participants were recruited from the Pediatric MS and Related Disorders Program at Boston Children's Hospital as well as from the Pediatric Multiple Sclerosis Alliance online Facebook group. RESULTS: Overall, fewer than half of parents felt very satisfied with the DMT they chose for their child with POMS (44%). Parental satisfaction with the decision making process increased with a high level of control of the process (p < 0.0001), satisfaction with communication (p < 0.0001), and feeling supported by the healthcare provider (p < 0.0001). PRACTICE IMPLICATIONS: Healthcare providers should recognize the importance of the role of the family in the decision making process and how this directly impacts health outcomes. An open discussion at the time of DMT education should involve identification of family values and preferences. The use of online decision support tools have a valuable role in determining family preferences. CONCLUSION: There is an opportunity of healthcare providers to foster shared decision making practices to improve satisfaction among parents of children and adolescents with POMS. Healthcare providers should work closely with families to identify and incorporate their personal preferences for their role in the decision making process. Future research should include the testing of decision support tools for decision making in POMS.

Detecting microstructural white matter abnormalities of frontal pathways in children with ADHD using advanced diffusion models.

Studies using diffusion tensor imaging (DTI) have documented alterations in the attention and executive system in children and adolescents with attention-deficit/hyperactivity disorder (ADHD). While abnormalities in the frontal lobe have also been reported, the associated white matter fiber bundles have not been investigated comprehensively due to the complexity in tracing them through fiber crossings. Furthermore, most studies have used a non-specific DTI model to understand white matter abnormalities. We present results from a first study that uses a multi-shell diffusion MRI (dMRI) data set coupled with an advanced multi-fiber tractography algorithm to probe microstructural measures related to axonal/cellular density and volume of fronto-striato-thalamic pathways in children with ADHD (N = 30) and healthy controls (N = 28). Head motion was firstly examined as a priority in order to assure that no group difference existed. We investigated 45 different white matter fiber bundles in the brain. After correcting for multiple comparisons, we found lower axonal/cellular packing density and volume in ADHD children in 8 of the 45 fiber bundles, primarily in the right hemisphere as follows: 1) Superior longitudinal fasciculus-II (SLF-II) (right), 2) Thalamus to precentral gyrus (right), 3) Thalamus to superior-frontal gyrus (right), 4) Caudate to medial orbitofrontal gyrus (right), 5) Caudate to precentral gyrus (right), 6) Thalamus to paracentral gyrus (left), 7) Caudate to caudal middlefrontal gyrus (left), and 8) Cingulum (bilateral). Our results demonstrate reduced axonal/cellular density and volume in certain frontal lobe white matter fiber tracts, which sub-serve the attention function and executive control systems. Further, our work shows specific microstructural abnormalities in the striato-thalamo-cortical connections, which have not been previously reported in children with ADHD.

Suprathreshold fiber cluster statistics: Leveraging white matter geometry to enhance tractography statistical analysis.

This work presents a suprathreshold fiber cluster (STFC) method that leverages the whole brain fiber geometry to enhance statistical group difference analyses. The proposed method consists of 1) a well-established study-specific data-driven tractography parcellation to obtain white matter tract parcels and 2) a newly proposed nonparametric, permutation-test-based STFC method to identify significant differences between study populations. The basic idea of our method is that a white matter parcel's neighborhood (nearby parcels with similar white matter anatomy) can support the parcel's statistical significance when correcting for multiple comparisons. We propose an adaptive parcel neighborhood strategy to allow suprathreshold fiber cluster formation that is robust to anatomically varying inter-parcel distances. The method is demonstrated by application to a multi-shell diffusion MRI dataset from 59 individuals, including 30 attention deficit hyperactivity disorder patients and 29 healthy controls. Evaluations are conducted using both synthetic and in-vivo data. The results indicate that the STFC method gives greater sensitivity in finding group differences in white matter tract parcels compared to several traditional multiple comparison correction methods.