Understanding the neurobehavioural impact of Duchenne muscular dystrophy: A multicentre European study

Duchenne muscular dystrophy (DMD) is a severe X-linked disorder characterised by dystrophin deficiency, leading to progressive muscle degeneration and reduced life expectancy. Recent studies report neurodevelopmental and psychiatric comorbidities, though their manifestations remain only partially understood. In this multicentre European study, conducted within the Brain Involvement iN Dystrophinopathies (BIND) consortium, we assessed neurobehavioural outcomes in 238 males aged 5–17 years with genetically confirmed DMD, using standardised parent-report questionnaires. Parent-reported symptoms were reviewed and rated by trained clinicians using criteria from the Diagnostic and Statistical Manual of Mental Disorders (DSM-V1). We compared findings with two UK-based cohorts: (1) children with pathogenic copy number variants (CNVs) from the IMAGINE-ID study [2] (n = 470; matched on sex, chronological age, and parent-estimated mental age), and (2) a male normative population sample [3] (n = 3,851). Clinician-rated Development and Well-Being Assessment (DAWBA) assessments indicated that 21% of participants met criteria for at least one DSM-5 diagnosis, including attention-deficit/hyperactivity disorder (ADHD, 8.4%), anxiety-type disorders (7.9%), and autism spectrum disorder (ASD, 6.7%). Genotype-phenotype analyses within DMD revealed elevated ASD prevalence in individuals with Dp140– variants, while ADHD and anxiety were distributed across genotypic groups. Although the DMD cohort exhibited a less severe neurobehavioral impact than the IMAGINE-ID group, they showed markedly elevated emotional and behavioural difficulties as well as prevalence of DAWBA-based diagnoses compared to normative population data. Our findings underscore the neuropsychiatric burden associated with DMD and support the need for routine screening and stratified care approaches informed by genotype.

Authors

Institutions

Publication Details

Journal
European Child & Adolescent Psychiatry
Published
2026-04-28
DOI
https://doi.org/10.1007/s00787-026-02988-7
Primary Topic
Muscle Physiology and Disorders
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding the neurobehavioural impact of Duchenne muscular dystrophy: A multicentre European study

Dimitrios Athanasiou, Luis Miguel García‐Moreno, F. Fortunato, Rebecca K. Hendel et al.
European Child & Adolescent Psychiatry
Muscle Physiology and Disorders
article

Understanding the neurobehavioural impact of Duchenne muscular dystrophy: A multicentre European study

Dimitrios Athanasiou, Luis Miguel García‐Moreno, F. Fortunato, Rebecca K. Hendel, J. Hendriksen, Jeanne Wolstencroft, Suzie-Ann Bakker, Federica Moriconi, Nathalie Angeard, Nathalie Boddaert, Asmus Vogel, C. Geagan, Monika Malinova, Pietro Spitali, Mads Peter Godtfeldt Stemmerik, Elizabeth Vroom, Mariana Suárez Bagnasco, Sarah Poncet, Catherine Hankinson, Sergiu Siminiuc, I. Guliaeva, David Skuse, William Mandy, Lily; id_orcid 0009-0009-9689-4806 Smythe, Leslie Hemar, Eugenio Mercuri, Pien Weerkamp, Chloe Durrlemann, Ellie Drummond, Rosanne Govaart, John Vissing, Isabelle Desguerre, Landon Gregory, Daniela Pia Rosaria Chieffo, Anna Kolesnik, Volker Straub, Monia Pellizzari, Erik Niks, Anna Slipsager, Ruben Miranda, Francesco Muntoni, Elvina Sakellariou
article en

Abstract

Duchenne muscular dystrophy (DMD) is a severe X-linked disorder characterised by dystrophin deficiency, leading to progressive muscle degeneration and reduced life expectancy. Recent studies report neurodevelopmental and psychiatric comorbidities, though their manifestations remain only partially understood. In this multicentre European study, conducted within the Brain Involvement iN Dystrophinopathies (BIND) consortium, we assessed neurobehavioural outcomes in 238 males aged 5–17 years with genetically confirmed DMD, using standardised parent-report questionnaires. Parent-reported symptoms were reviewed and rated by trained clinicians using criteria from the Diagnostic and Statistical Manual of Mental Disorders (DSM-V1). We compared findings with two UK-based cohorts: (1) children with pathogenic copy number variants (CNVs) from the IMAGINE-ID study [2] (n = 470; matched on sex, chronological age, and parent-estimated mental age), and (2) a male normative population sample [3] (n = 3,851). Clinician-rated Development and Well-Being Assessment (DAWBA) assessments indicated that 21% of participants met criteria for at least one DSM-5 diagnosis, including attention-deficit/hyperactivity disorder (ADHD, 8.4%), anxiety-type disorders (7.9%), and autism spectrum disorder (ASD, 6.7%). Genotype-phenotype analyses within DMD revealed elevated ASD prevalence in individuals with Dp140– variants, while ADHD and anxiety were distributed across genotypic groups. Although the DMD cohort exhibited a less severe neurobehavioral impact than the IMAGINE-ID group, they showed markedly elevated emotional and behavioural difficulties as well as prevalence of DAWBA-based diagnoses compared to normative population data. Our findings underscore the neuropsychiatric burden associated with DMD and support the need for routine screening and stratified care approaches informed by genotype.

European Child & Adolescent Psychiatry
Università Cattolica del Sacro Cuore (IT), Universidad Complutense de Madrid (ES), Copenhagen University Hospital (DK), Rigshospitalet (DK), Maastricht University (NL), Kempenhaeghe (NL), Institute of Child Health (IN), Institut des Maladies Génétiques Imagine (FR), University College London (GB), Newcastle University (GB)
European Commission, Horizon 2020 Framework Programme
Openalex Percentile: Top 11%
Muscle Physiology and Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.