Literature DB >> 11140408

Emotional and behavioral profile and child psychiatric diagnosis in the childhood type of myotonic dystrophy.

E Goossens1, J Steyaert, C De Die-Smulders, D Willekens, J P Fryns.   

Abstract

We report data on behaviour and possibly associated psychopathology in 24 children and adolescents between 9 and 22 years of age, with the childhood type of myotonic dystrophy. The patients were recruited through a patients association, as family members from patients with myotonic dystrophy (DM). In 41% of the subjects a score in the clinical abnormal range was found on the Child Behavior Checklist (completed by parents and by teachers). In 62% of the subjects, a child psychiatric diagnosis was found using a standardised psychiatric interview. The most frequent child psychiatric diagnoses were Attention Deficit with Hyperactivity Disorder and Anxiety Disorder.

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Year:  2000        PMID: 11140408

Source DB:  PubMed          Journal:  Genet Couns        ISSN: 1015-8146


  9 in total

1.  Muscleblind1, but not Dmpk or Six5, contributes to a complex phenotype of muscular and motivational deficits in mouse models of myotonic dystrophy.

Authors:  Anna Matynia; Carina Hoi Ng; Warunee Dansithong; Andy Chiang; Alcino J Silva; Sita Reddy
Journal:  PLoS One       Date:  2010-03-25       Impact factor: 3.240

Review 2.  Myotonic Dystrophy Type 1 Management and Therapeutics.

Authors:  Cheryl A Smith; Laurie Gutmann
Journal:  Curr Treat Options Neurol       Date:  2016-12       Impact factor: 3.598

Review 3.  Psychiatric and cognitive phenotype in children and adolescents with myotonic dystrophy.

Authors:  Marie Douniol; Aurélia Jacquette; Jean-Marc Guilé; Marie-Laure Tanguy; Nathalie Angeard; Delphine Héron; Monique Plaza; David Cohen
Journal:  Eur Child Adolesc Psychiatry       Date:  2009-06-19       Impact factor: 4.785

4.  Diffusion tensor imaging reveals widespread white matter abnormalities in children and adolescents with myotonic dystrophy type 1.

Authors:  Jeffrey R Wozniak; Bryon A Mueller; Christopher J Bell; Ryan L Muetzel; Kelvin O Lim; John W Day
Journal:  J Neurol       Date:  2012-11-29       Impact factor: 4.849

Review 5.  Learning disabilities in neuromuscular disorders: a springboard for adult life.

Authors:  Guja Astrea; Roberta Battini; Sara Lenzi; Silvia Frosini; Silvia Bonetti; Elena Moretti; Silvia Perazza; Filippo M Santorelli; Chiara Pecini
Journal:  Acta Myol       Date:  2016-10

6.  Cortical Thickness and White Matter Integrity are Associated with CTG Expansion Size in Myotonic Dystrophy Type I.

Authors:  Woo Kyoung Yoo; Yoon Ghil Park; Young Chul Choi; Sun Mi Kim
Journal:  Yonsei Med J       Date:  2017-07       Impact factor: 2.759

Review 7.  Cognitive Deficits in Myopathies.

Authors:  Eleni Peristeri; Athina-Maria Aloizou; Paraskevi Keramida; Zisis Tsouris; Vasileios Siokas; Alexios-Fotios A Mentis; Efthimios Dardiotis
Journal:  Int J Mol Sci       Date:  2020-05-27       Impact factor: 5.923

8.  Age of onset of RNA toxicity influences phenotypic severity: evidence from an inducible mouse model of myotonic dystrophy (DM1).

Authors:  Jordan T Gladman; Mahua Mandal; Varadamurthy Srinivasan; Mani S Mahadevan
Journal:  PLoS One       Date:  2013-09-05       Impact factor: 3.240

9.  Neuropsychological and Psychological Functioning Aspects in Myotonic Dystrophy Type 1 Patients in Italy.

Authors:  Edward Callus; Enrico G Bertoldo; Maria Beretta; Sara Boveri; Rosanna Cardani; Barbara Fossati; Elisa Brigonzi; Giovanni Meola
Journal:  Front Neurol       Date:  2018-09-19       Impact factor: 4.003

  9 in total

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