Literature DB >> 18823405

Cognitive function in facioscapulohumeral dystrophy correlates with the molecular defect.

A Sistiaga1, P Camaño, D Otaegui, B Ibáñez, J Ruiz-Martinez, J F Martí-Massó, A López de Munain.   

Abstract

Previous studies based on case descriptions and neuroradiological findings have suggested central nervous system (CNS) involvement in facioscapulohumeral dystrophy. The aim of this work is to explore the relationship between cognitive/personality pattern and the underlying molecular defect for this muscular dystrophy. We performed a wide-ranging neuropsychological assessment of 34 molecularly confirmed facioscapulohumeral dystrophy patients and 49 control subjects, all of whom also received the Millon-II Multiaxial Clinical Inventory (MCMI-II). Patients and controls show mild learning-level differences in the neuropsychological profile, and only the hysteriform scale is statistically higher in patients than controls. The patients' intelligence quotient (IQ) is related to the size of the deleted fragment but not to the degree of muscular impairment. The results of this study indicate a cut-off point and two distinct cognitive profiles in facioscapulohumeral dystrophy, depending on the patients' molecular defect: patients with a fragment size > 24 kb show a relatively normal cognitive pattern, whereas those with a fragment size < or = 24 kb show a significantly reduced IQ and difficulties with verbal function and visuo-constructive tasks. This work provides more evidence for the involvement of the CNS in facioscapulohumeral dystrophy and suggests that the fragment size should be taken into account in the clinical management of facioscapulohumeral dystrophy as it has a predictive value on the cognitive phenotype.

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Year:  2008        PMID: 18823405     DOI: 10.1111/j.1601-183X.2008.00442.x

Source DB:  PubMed          Journal:  Genes Brain Behav        ISSN: 1601-183X            Impact factor:   3.449


  4 in total

1.  Concomitant Facioscapulohumeral Muscular Dystrophy and Parkinsonism Mimicking Multiple System Atrophy.

Authors:  Martin Paucar; Stanislav Beniaminov; Göran Solders; Per Svenningsson
Journal:  Mov Disord Clin Pract       Date:  2015-10-20

2.  Prevalence and correlates of apathy in myotonic dystrophy type 1.

Authors:  Benjamin Gallais; Michèle Montreuil; Marcela Gargiulo; Bruno Eymard; Cynthia Gagnon; Luc Laberge
Journal:  BMC Neurol       Date:  2015-08-22       Impact factor: 2.474

3.  Serum Neurofilament Light Chain: A Marker of Nervous System Damage in Myopathies.

Authors:  Annika Saak; Pascal Benkert; Katja Akgün; Eline Willemse; Jens Kuhle; Tjalf Ziemssen; Sandra Jackson; Jochen Schaefer
Journal:  Front Neurosci       Date:  2021-12-17       Impact factor: 4.677

4.  Cognitive profile of patients with facioscapulohumeral muscular dystrophy.

Authors:  Vanessa Brzoskowski Dos Santos; Jonas Alex Morales Saute; Laís Alves Jacinto-Scudeiro; Annelise Ayres; Rafaela Soares Rech; Alcyr Alves de Oliveira; Maira Rozenfeld Olchik
Journal:  Dement Neuropsychol       Date:  2021 Oct-Dec
  4 in total

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