Workshop report: Workshop on psychiatric prescribing and psychology testing and intervention in children and adults with Duchenne muscular dystrophy

This workshop aimed at summarising knowledge and key issues in psychiatric prescribing and psychological testing in children and adults with Duchenne muscular dystrophy (DMD). It comprised clinicians and patient representatives from the UK and the Netherlands. The following topics were discussed: a model for capturing the range of non-motor problems in the domains of cognition, learning, emotion and behaviour; psychosocial screening tools for use with children and adults; assessing neurocognitive functioning in children and adults; parent and teacher perspectives on psychosocial needs; and psychopharmacological treatment for affective disorders, anxiety disorders, obsessive compulsive disorder, attention deficit hyperactivity disorder (ADHD) and insomnia. Some key considerations included: the need for tools used to assess behavioural and psychosocial functioning to consider motor aspects in DMD; to understand more about working memory performance; the need for early interventions for automatisation problems, which affect reading and arithmetic; appropriate selection of tests for neuropsychology assessments; in schools, acknowledging the range of psychosocial risks and gathering evidence of psychosocial needs; the suitability of selective serotonin reuptake inhibitors for mood and anxiety disorders; the use of stimulant medications for ADHD; melatonin use for insomnia; the cautious use of benzodiazepines; and the need for improving pathways for psychosocial care

Effective psychological therapy for PTSD changes the dynamics of specific large-scale brain networks

In posttraumatic stress disorder (PTSD), re-experiencing of the trauma is a hallmark symptom proposed to emerge from a de-contextualised trauma memory. Cognitive therapy for PTSD (CT-PTSD) addresses this de-contextualisation through different strategies. At the brain level, recent research suggests that the dynamics of specific large-scale brain networks play an essential role in both the healthy response to a threatening situation and the development of PTSD. However, very little is known about how these dynamics are altered in the disorder and rebalanced after treatment and successful recovery. Using a data-driven approach and fMRI, we detected recurring large-scale brain functional states with high temporal precision in a population of healthy trauma-exposed and PTSD participants before and after successful CT-PTSD. We estimated the total amount of time that each participant spent on each of the states while being exposed to trauma-related and neutral pictures. We found that PTSD participants spent less time on two default mode subnetworks involved in different forms of self-referential processing in contrast to PTSD participants after CT-PTSD (mtDMN+ and dmDMN+) and healthy trauma-exposed controls (only mtDMN+). Furthermore, re-experiencing severity was related to decreased time spent on the default mode subnetwork involved in contextualised retrieval of autobiographical memories, and increased time spent on the salience and visual networks. Overall, our results support the hypothesis that PTSD involves an imbalance in the dynamics of specific large-scale brain network states involved in self-referential processes and threat detection, and suggest that successful CT-PTSD might rebalance this dynamic aspect of brain function

Effective psychological therapy for PTSD changes the dynamics of specific large-scale brain networks

In posttraumatic stress disorder (PTSD), re‐experiencing of the trauma is a hallmark symptom proposed to emerge from a de‐contextualised trauma memory. Cognitive therapy for PTSD (CT‐PTSD) addresses this de‐contextualisation through different strategies. At the brain level, recent research suggests that the dynamics of specific large‐scale brain networks play an essential role in both the healthy response to a threatening situation and the development of PTSD. However, very little is known about how these dynamics are altered in the disorder and rebalanced after treatment and successful recovery. Using a data‐driven approach and fMRI, we detected recurring large‐scale brain functional states with high temporal precision in a population of healthy trauma‐exposed and PTSD participants before and after successful CT‐PTSD. We estimated the total amount of time that each participant spent on each of the states while being exposed to trauma‐related and neutral pictures. We found that PTSD participants spent less time on two default mode subnetworks involved in different forms of self‐referential processing in contrast to PTSD participants after CT‐PTSD (mtDMN(+) and dmDMN(+)) and healthy trauma‐exposed controls (only mtDMN(+)). Furthermore, re‐experiencing severity was related to decreased time spent on the default mode subnetwork involved in contextualised retrieval of autobiographical memories, and increased time spent on the salience and visual networks. Overall, our results support the hypothesis that PTSD involves an imbalance in the dynamics of specific large‐scale brain network states involved in self‐referential processes and threat detection, and suggest that successful CT‐PTSD might rebalance this dynamic aspect of brain function