Abstract
Background
Severity and nature of cognitive impairments in Myotonic dystrophy type 1 (DM1) are heterogeneous among studies. We hypothesized that this heterogeneity is explained by different cognitive profiles in DM1, with different clinical, biological and behavioral features.
Methods
Adult patients with genetically proven DM1 underwent a clinical, neuropsychological and behavioral assessment. We conducted a k-means clustering analysis on 9 cognitive tests representative of different domains (verbal/non-verbal episodic memory, visuo-constructive abilities, visual gnosis, executive functions, information processing speed).
Results
We included 124 DM1 patients. Mean age was 45.1 ± 13.5 years [19.8–73.2], mean age of onset was 30.4 ± 15.7 years [5–72], and mean CTG triplets’ expansion size was 489.7 ± 351.8 [50–1600]. We found 3 cognitive clusters, including, respectively, 84, 29 and 11 patients. The first cluster included patients with more preserved cognitive functions; the second included patients with worse cognitive performances which predominate on executive functions; and the third even more pronounced and diffuse cognitive deficits. Younger patients, with a more recent DM1 clinical onset, higher educational level were more frequently classified in the cluster with more preserved cognitive functions. There were no significant differences between clusters regarding CTG triplets’ expansion, neither age at DM1 onset, nor most of behavioral measures.
Conclusions
We found different cognitive profiles in our DM1 population, which seem influenced by age and DM1 duration. Our findings may explain the heterogeneity of studies about cognition in DM1, and suggest a potential neurodegenerative mechanism in DM1 adults.
Similar content being viewed by others
Data availability
Data of this study can be shared upon request to the corresponding author.
Abbreviations
- ANOVA:
-
Analysis of variance
- BECS-GRECO:
-
Groupe de réflexion sur les évaluations cognitives—neuropsychological semantic battery
- CSCT:
-
Computerized Speed Cognitive Test
- DM1:
-
Myotonic dystrophy type 1
- HADS:
-
Hospital Anxiety and Depression Scale
- HVLT:
-
Hopkins Verbal Learning Test
- IQ:
-
Intellectual quotient
- LARS:
-
Lille Apathy Rating Scale
- MASC:
-
Movie for the Assessment of Social Cognition
- MIRS:
-
Muscular Impairment Rating Scale
- N-LST:
-
Number–letter sequence task
- QFS:
-
Questionnaire de Fonctionnement Social
- TMT:
-
Trail Making Test
- ToM:
-
Theory of mind
- VOSP:
-
Visual Object and Space Perception
- WAIS:
-
Wechsler Adult Intelligence Scale
- WHOQOL-BREF:
-
World Health Organization Quality of Life Brief Version
References
Theadom A, Rodrigues M, Roxburgh R, Balalla S, Higgins C, Bhattacharjee R, Jones K, Krishnamurthi R, Feigin V (2014) Prevalence of muscular dystrophies: a systematic literature review. Neuroepidemiology 43:259–268. https://doi.org/10.1159/000369343
Harper P (2009) Myotonic dystrophy. OUP Oxford, Oxford
Okkersen K, Buskes M, Groenewoud J, Kessels RPC, Knoop H, van Engelen B, Raaphorst J (2017) The cognitive profile of myotonic dystrophy type 1: a systematic review and meta-analysis. Cortex 95:143–155. https://doi.org/10.1016/j.cortex.2017.08.008
Van Spaendonck KP, Ter Bruggen JP, Weyn Banningh EW, Maassen BA, Van de Biezenbos JB, Gabreëls FJ (1995) Cognitive function in early adult and adult onset myotonic dystrophy. Acta Neurol Scand 91:456–461. https://doi.org/10.1111/j.1600-0404.1995.tb00446.x
Perini GI, Menegazzo E, Ermani M, Zara M, Gemma A, Ferruzza E, Gennarelli M, Angelini C (1999) Cognitive impairment and (CTG)n expansion in myotonic dystrophy patients. Biol Psychiatry 46:425–431. https://doi.org/10.1016/s0006-3223(99)00016-5
Gallais B, Gagnon C, Mathieu J, Richer L (2017) Cognitive decline over time in adults with myotonic dystrophy type 1: a 9-year longitudinal study. Neuromuscul Disord 27:61–72. https://doi.org/10.1016/j.nmd.2016.10.003
Peric S, Rakocevic Stojanovic V, Mandic Stojmenovic G, Ilic V, Kovacevic M, Parojcic A, Pesovic J, Mijajlovic M, Savic-Pavicevic D, Meola G (2017) Clusters of cognitive impairment among different phenotypes of myotonic dystrophy type 1 and type 2. Neurol Sci 38:415–423. https://doi.org/10.1007/s10072-016-2778-4
Fujino H, Suwazono S, Ueda Y, Kobayashi M, Nakayama T, Imura O, Matsumura T, Takahashi MP (2023) Longitudinal changes in neuropsychological functioning in Japanese patients with myotonic dystrophy type 1: a five year follow-up study. J Neuromuscul Dis 10:1083–1092. https://doi.org/10.3233/JND-230083
Modoni A, Silvestri G, Vita MG, Quaranta D, Tonali PA, Marra C (2008) Cognitive impairment in myotonic dystrophy type 1 (DM1): a longitudinal follow-up study. J Neurol 255:1737–1742. https://doi.org/10.1007/s00415-008-0017-5
Rubinsztein JS, Rubinsztein DC, McKenna PJ, Goodburn S, Holland AJ (1997) Mild myotonic dystrophy is associated with memory impairment in the context of normal general intelligence. J Med Genet 34:229–233. https://doi.org/10.1136/jmg.34.3.229
Mathieu J, Boivin H, Meunier D, Gaudreault M, Bégin P (2001) Assessment of a disease-specific muscular impairment rating scale in myotonic dystrophy. Neurology 56:336–340. https://doi.org/10.1212/wnl.56.3.336
Wechsler D (2000) WAIS-III: echelle d’intelligence de Wechsler pour adultes, vol 3rd. Editions du Centre de Psychologie Appliquée, Paris
Rieu D, Bachoud-Lévi A-C, Laurent A, Jurion E, Dalla Barba G (2006) French adaptation of the Hopkins verbal learning test. Rev Neurol 162:721–728. https://doi.org/10.1016/s0035-3787(06)75069-x
Dujardin K, Sockeel P, Cabaret M, De Sèze J, Vermersch P (2004) BCcogSEP: a French test battery evaluating cognitive functions in multiple sclerosis. Rev Neurol 160:51–62. https://doi.org/10.1016/s0035-3787(04)70847-4
Merck C, Charnallet A, Auriacombe S, Belliard S, Hahn-Barma V, Kremin H, Lemesle B, Mahieux F, Moreaud O, Palisson DP, Roussel M, Sellal F, Siegwart H (2011) The GRECO neuropsychological semantic battery (BECS GRECO): validation and normative data. Rev Neuropsychol 3:235–255. https://doi.org/10.1684/nrp.2011.0194
Beery KE, Beery NA (2006) The beery-Buktenica developmental test of visual-motor integration, 5th, edition (BEERYTM VMI). Pearson, London
Warrington EK, James M (1991) A new test of object decision: 2D silhouettes featuring a minimal view. Cortex 27:370–383
GREFEX (2001) L’évaluation des fonctions exécutives en pratique clinique. Rev Neuropsychol 11(3):383–433
Reitan RM (1958) Validity of the trail making test as an indicator of organic brain damage. Percept Mot Skills 8:271–286
Delis DC, Kaplan E, Kramer JH (2001) Delis-Kaplan Executive Function System (D-KEFS)
Ruet A, Deloire MSA, Charré-Morin J, Hamel D, Brochet B (2013) A new computerised cognitive test for the detection of information processing speed impairment in multiple sclerosis. Mult Scler 19:1665–1672. https://doi.org/10.1177/1352458513480251
Dziobek I, Fleck S, Kalbe E, Rogers K, Hassenstab J, Brand M, Kessler J, Woike JK, Wolf OT, Convit A (2006) Introducing MASC: a movie for the assessment of social cognition. J Autism Dev Disord 36:623–636. https://doi.org/10.1007/s10803-006-0107-0
Allison C, Auyeung B, Baron-Cohen S (2012) Toward brief “Red Flags” for autism screening: the short autism spectrum quotient and the short quantitative checklist for autism in toddlers in 1000 cases and 3000 controls [corrected]. J Am Acad Child Adolesc Psychiatry 51:202-212.e7. https://doi.org/10.1016/j.jaac.2011.11.003
Dujardin K, Sockeel P, Carette A-S, Delliaux M, Defebvre L (2013) Assessing apathy in everyday clinical practice with the short-form Lille Apathy Rating Scale. Mov Disord 28:2014–2019. https://doi.org/10.1002/mds.25584
Zanello A, Weber Rouget B, Gex-Fabry M, Maercker A, Guimon J (2006) Validation of the QFS measuring the frequency and satisfaction in social behaviours in psychiatric adult population. Encephale 32:45–59. https://doi.org/10.1016/s0013-7006(06)76136-x
Zigmond AS, Snaith RP (1983) The hospital anxiety and depression scale. Acta Psychiatr Scand 67:361–370. https://doi.org/10.1111/j.1600-0447.1983.tb09716.x
Krupp LB, LaRocca NG, Muir-Nash J, Steinberg AD (1989) The fatigue severity scale: application to patients with multiple sclerosis and systemic lupus erythematosus. Arch Neurol 46:1121–1123. https://doi.org/10.1001/archneur.1989.00520460115022
Baumann C, Erpelding M-L, Régat S, Collin J-F, Briançon S (2010) The WHOQOL-BREF questionnaire: French adult population norms for the physical health, psychological health and social relationship dimensions. Rev Epidemiol Sante Publique 58:33–39. https://doi.org/10.1016/j.respe.2009.10.009
De Antonio M, Dogan C, Hamroun D, Mati M, Zerrouki S, Eymard B, Katsahian S, Bassez G, Network FMDC (2016) Unravelling the myotonic dystrophy type 1 clinical spectrum: a systematic registry-based study with implications for disease classification. Rev Neurol 172:572–580. https://doi.org/10.1016/j.neurol.2016.08.003
Weijs R, Okkersen K, van Engelen B, Küsters B, Lammens M, Aronica E, Raaphorst J, van Cappellen van Walsum A-M, (2021) Human brain pathology in myotonic dystrophy type 1: a systematic review. Neuropathology 41:3–20. https://doi.org/10.1111/neup.12721
Caillet-Boudin M-L, Fernandez-Gomez F-J, Tran H, Dhaenens C-M, Buee L, Sergeant N (2014) Brain pathology in myotonic dystrophy: when tauopathy meets spliceopathy and RNAopathy. Front Mol Neurosci. https://doi.org/10.3389/fnmol.2013.00057
Pinzan E, Weis L, Angelini C (2020) Abnormal gyrification in brain of early onset myotonic dystrophy patients (241). Neurology. https://doi.org/10.1212/WNL.94.15_supplement.2
Bangen KJ, Thomas KR, Weigand AJ, Edmonds EC, Clark AL, Solders S, Delano-Wood L, Galasko DR, Bondi MW, Alzheimer’s Disease Neuroimaging Initiative, (2021) Elevated plasma neurofilament light predicts a faster rate of cognitive decline over 5 years in participants with objectively-defined subtle cognitive decline and MCI. Alzheimers Dement 17:1756–1762. https://doi.org/10.1002/alz.12324
Laberge L, Mathieu J, Auclair J, Gagnon É, Noreau L, Gagnon C (2013) Clinical, psychosocial, and central correlates of quality of life in myotonic dystrophy type 1 patients. Eur Neurol 70:308–315. https://doi.org/10.1159/000353991
Veldsman M, Werden E, Egorova N, Khlif MS, Brodtmann A (2020) Microstructural degeneration and cerebrovascular risk burden underlying executive dysfunction after stroke. Sci Rep 10:17911. https://doi.org/10.1038/s41598-020-75074-w
Antonini G, Soscia F, Giubilei F, De Carolis A, Gragnani F, Morino S, Ruberto A, Tatarelli R (2006) Health-related quality of life in myotonic dystrophy type 1 and its relationship with cognitive and emotional functioning. J Rehabil Med 38:181–185. https://doi.org/10.1080/16501970500477967
Fujino H, Shingaki H, Suwazono S, Ueda Y, Wada C, Nakayama T, Takahashi MP, Imura O, Matsumura T (2018) Cognitive impairment and quality of life in patients with myotonic dystrophy type 1. Muscle Nerve 57:742–748. https://doi.org/10.1002/mus.26022
Peric S, Bjelica B, Bozovic I, Pesovic J, Paunic T, Banovic M, Brkusanin M, Aleksic K, Basta I, Pavicevic DS, Stojanovic VR (2019) Fatigue in myotonic dystrophy type 1: a seven-year prospective study. Acta Myol 38:239–244
Menzies V, Kelly DL, Yang GS, Starkweather A, Lyon DE (2021) A systematic review of the association between fatigue and cognition in chronic noncommunicable diseases. Chronic Illn 17:129–150. https://doi.org/10.1177/1742395319836472
Graff-Radford J, Aakre JA, Knopman DS, Schwarz CG, Flemming KD, Rabinstein AA, Gunter JL, Ward CP, Zuk SM, Spychalla AJ, Preboske GM, Petersen RC, Kantarci K, Huston J, Jack CR, Mielke MM, Vemuri P (2020) Prevalence and heterogeneity of cerebrovascular disease imaging lesions. Mayo Clin Proc 95:1195–1205. https://doi.org/10.1016/j.mayocp.2020.01.028
Gutschmidt K, Wenninger S, Montagnese F, Schoser B (2021) Dyslexia and cognitive impairment in adult patients with myotonic dystrophy type 1: a clinical prospective analysis. J Neurol 268:484–492. https://doi.org/10.1007/s00415-020-10161-6
Hermans MCE, Faber CG, De Baets MH, de Die-Smulders CEM, Merkies ISJ (2010) Rasch-built myotonic dystrophy type 1 activity and participation scale (DM1-Activ). Neuromuscul Disord 20:310–318. https://doi.org/10.1016/j.nmd.2010.03.010
Acknowledgements
We thank the team of the neuromuscular center of the university hospital of Lille, which each day helps us to organize the patients’ follow-up. We also thank Sebastian Sorger Brock for the English proofreading.
Funding
This work was funded by the Centre Hospitalier Universitaire de Lille, F-59000, Lille, France; by the association Santélys, 59120, Loos, France; and by the Projet Fédératif Hospitalo-Universitaire-VasCog, F-59000, Lille, France.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors have no disclosures to report.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Davion, JB., Tard, C., Fragoso, L. et al. Heterogeneity of cognitive impairments in myotonic dystrophy type 1 explained by three distinct cognitive profiles. J Neurol (2024). https://doi.org/10.1007/s00415-024-12404-2
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s00415-024-12404-2