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Depression in Myotonic Dystrophy type 1: clinical and neuronal correlates
Behavioral and Brain Functions volume 6, Article number: 25 (2010)
This study was designed to investigate the prevalence and correlates of depression in Myotonic dystrophy type 1 (DM1).
Thirty-one patients with DM1 and 47 subjects in a clinical contrast group, consisting of other neuromuscular disorders, including Spinal muscular atrophy, Limb girdle muscle atrophy and Facioscapulohumeral dystrophy, completed Beck Depression Inventory (BDI). We aimed to establish whether different factors associated with DM1 correlated with ratings in the BDI.
Signs of a clinical depression were prevalent in 32% of the patients with DM1, which was comparable with ratings in the clinical contrast group. The depressive condition was mild to moderate in both groups. In DM1, a longer duration of clinical symptoms was associated with lower scores on the BDI and higher educational levels were correlated with higher scores on depression. We also found a negative association with brain white matter lesions.
Findings indicate significantly more DM1 patients than normative collectives showing signs of a clinical depression. The depressive condition is however mild to moderate and data indicate that the need for intervention is at hand preferentially early during the disease process.
Depression is an important health issue because of its high lifetime prevalence and association with substantial disability . An increased risk of having major depression is associated with chronic disease, neurological and neuromuscular disorder and a comorbid state of depression has been found to incrementally worsen health [1–3]. Without treatment, depression has a tendency to assume a chronic course, be recurrent and over time to be associated with increasing disability . Consequently, the possible comorbidity of depression with chronic disease is important to acknowledge.
Myotonic dystrophy type 1 (DM1) is a progressive, dominantly inherited, multisystem disease caused by an expanded and unstable trinucleotide CTG repeat localized to the 3' untranslated region of the dystrophia myotonica protein kinase (DMPK) gene on chromosome 19q13.3 . The expansion of CTG repeats causes muscle wasting, myotonia, heart conduction defect, lens cataract, endocrine dysfunction and brain abnormalities through different molecular mechanisms . A growing body of evidence shows that a RNA gain-of-function mechanism plays a major role in the disease development but the process explaining neurocognitive dysfunction is however more uncertain [6–8]. It is known that DM1 is a disorder associated with neuropsychological deficits, including reduced attention, speed, visuoconstructive and executive abilities . Accompanying brain abnormalities is predominant in frontal and temporal, occipital and subcortical regions, including both cerebral atrophy and white matter hyperintense lesions . Mood and personality disorders associated with apathy and social avoidance is recurrently seen [7, 10]. Some authors have found significantly higher prevalence of depression as compared to healthy controls [11, 12] but others have found no indication of major depression [13–15]. Furthermore, the cause of depression in DM1 is still not clear, where some authors have tried to explain depression as a psychological adaptation to the disease  and others, as a direct manifestation of genetic and/or CNS abnormalities [13, 14]. However, to date, no study has confirmed any significant association between depression and clinical and/or biological parameters. The aims of this study were to characterize and to evaluate occurrence of depression in patients with DM1 and to explore clinical, genetic and neurocognitive correlates.
Demographic and clinical data are presented in Table 1. Sixty adult patients with genetically confirmed DM1, associated with the Neuromuscular Centre, Sahlgrenska University Hospital in Göteborg, were invited to participate. Inclusion criteria were: age 18-65 years and no history of major psychiatric or somatic illness, major brain injury or alcohol misuse. Twenty-nine declined, mainly due to non-compliance in taking part in the brain imaging and CSF-measurement, leaving 31 patients with adult onset/classical DM1. Forty-seven patients with other neuromuscular disorders formed a clinical contrast group. This group comprised 13 patients with spinal muscular atrophy, 14 with limb girdle muscle atrophy and 20 with facioscapulohumeral dystrophy. In DM1 patient's strength in handgrip was measured with the Grippit instrument  and the overall muscle function was scored using the Muscle Impairment Rating Scale (MIRS) . In both groups, Brooke's grading system of mobility was scored . All participants gave informed and written consent and the medical ethics committee at the Sahlgrenska Academy, Göteborg University, approved the study.
Self-rating of depression
We used a Swedish version of Beck Depression Inventory (BDI), a widely used 21-item standardized self-report questionnaire measuring depression on a 4-point scale ranging from 0 to 3 [19, 20]. Proposed cut-off scores may be interpreted as follows: 1-9, minimal depression; 10-16, mild depression; 17-29, moderate depression; 30-63, severe depression . We also performed an item-analysis on two separable factors of depression in the BDI; a cognitive affective dimension (item 1-13) and a somatic dimension (item 14-21) .
All subjects participated in a neuropsychological investigation comprising tests measuring verbal ability (Vocabulary), verbal fluency (FAS), visual construction and memory ability (RCFT, Block design, Picture completion), verbal memory (RAVLT), speed (Trail Making Test, Digit symbol), attention (TMT, Digit span, Spatial span) and executive function (Stroop, TMT, FAS and WCST). Tests, references and procedure have been described in earlier studies by the authors [8, 9].
Brain MRI and cerebrospinal fluid examination
As to explore directly visible and indirect manifestations of brain functioning we performed a brain MRI examination and a measurement of cerebrospinal fluid (CSF) markers indicative of neuronal degeneration and amyloidogenesis.
Twenty-nine patients had MRI examinations which were performed on a 1,0 Tesla magnet (Siemens Magnetom Impact, Erlangen, Germany) or a 1,5 Tesla magnet (Siemens Symphony, Erlangen, Germany). The protocol consisted of a T2 and a proton density or FLAIR sequence in axial projection. A coronal FLAIR and a sagittal T2 sequence were included at the end of the study when the MRI equipment was updated. One experienced neuroradiologist blinded to clinical symptoms evaluated all MR images. A rating of white matter lesions [21, 22], brain atrophy and ventricular size  was performed according to procedures earlier described in Winblad et al. 2008 .
Twelve ml of CSF was obtained by routine lumbar puncture, centrifuged and stored in aliquots at - 80°C. Analyses of CSF-tau levels were made using a sandwich ELISA (Innotest hTAU-Ag, Innogenetics, Gent, Belgium) constructed to measure both normal and phosphorylated tau. Quantification of tau phosphorylated at threonine 181 (P-tau) was performed with a sandwich ELISA procedure (Innotest Phospho-Tau (181P), Innogenetics, Gent, Belgium). Levels of Aβ42 were done using an ELISA (Innotest β-amyloid (1-42), Innogenetics) [24, 25].
DNA was extracted from peripheral blood lymphocytes and analysed for expansion of the CTG repeat in the DMPK gene. The analysis was performed with PCR and southern blot using the probe pM10M6 . The size of the CTG-expansions was assessed visually from exposed x-ray films.
Data were analysed using SPSS base 11.5 (Chicago IL) and are presented as median and interquartile range (IR). Due to skewness in the data set, non-parametric statistics were used in comparisons between groups. The Spearman rank correlation test was used when analysing correlations between measures. Significance level was set at P < 0.05.
Results on the BDI rating showed that DM1 patients and the clinical contrast group (CCG) scored with a median value of 6 (IR = 5) and 7 (IR = 10), respectively. There was no significant difference between groups. Figure 1 shows the distribution of scores. Ratings above a cut off score for depression set at 10  were found in 10 DM1 (32%) and 19
(40%) CCG patients. Among DM1 patients indicating clinical depression, a mild depression was most prevalent and signs of a moderate depression were found in a minority of patients. The same pattern was found in the CCG. Ratings indicating a severe depressive condition (BDI score > 30) were absent in both groups. When analysing the distribution on separate items in the BDI, high scores were found on the somatic dimension of depression associated with fatigability, hypersomnia and muscle weakness but also high scores on negative body image and somatic pre-occupation. In contrast, low scores were found on the cognitive-emotional dimension, including suicidal ideas, sadness, pessimism, guilt, self-dislike and punishment. A significant difference (P < 0.001) between somatic and social-cognitive dimensions was found in both the DM1 (Z = -3.32) and the CCG (Z = -3.55).
Disease duration correlated significantly with BDI scores (rs = -.426, P < 0.02) (Figure 2) indicating that a clinical depression was typically present in patients with disease duration less than 20 years. This association was not found in the CCG.
We did not find any difference on BDI scores when comparing four groups of DM1 patients with different CTG repeat expansion sizes (50-150, 151-500, 501-1000 and > 1000 repeats, respectively). No significant association was found between BDI ratings and CSF levels of Aβ42 and Tau. However, we found a significant difference between groups (Z = -2.3, P < 0.02) on BDI scores when comparing patients with white matter lesions (Median BDI score = 6) and patients without (Median BDI score = 8.7). When analyzing the difference between four groups, based on grading of white matter lesion load, a pattern emerged, indicating that mild-few punctuate foci or patchy non-confluent lesion to moderate-beginning confluent loci was gradually more associated with lower BDI scores than a condition associated with the absence of white matter lesions. No difference was found on other brain imaging data including the presence/absence of atrophy, periventricular lesions and ventricular widening. Ventricular brain ratio did not correlate with BDI scores.
Concerning neuropsychological measures, gender, age, age of onset, MIRS score, handgrip strength or ratings of fatigue, there was no association with BDI-scores. However a positive correlation was found between years of education and ratings on depression (rs = .44, P < 0.02) indicating that DM1 patients with higher education (> 11 years) also scored higher on the BDI.
The present study identified clinical depression in 32% of the patients with DM1. The depressive condition was mild to moderate and comparable to ratings in a clinical contrast group comprising other neuromuscular disorders. The point prevalence of depression in normative collectives ranges between 2-5% , indicating a significantly higher prevalence of depression among DM1 patients and the CCG. When analysing single items on the BDI, a large majority of patients scored high on a somatic dimension and contrastingly low on cognitive-emotional content. Consequently, few DM1 patients meet a psychiatric criterion of depression due to low scores on the emotional-cognitive dimension. This reasonably explains why measurement using a direct psychiatric evaluation (DSM-IV)  has not confirmed major depression as significant in DM1 [12, 13]. When comparing criteria for depression  with DM1 specific bodily symptoms, such as fatigue, muscle weakness and sleep disorder, there is a considerable overlap, indicating that high scores on the BDI were mainly associated with an impact of the disease, rather than a psychological reaction on the condition. These findings reasonably have clinical importance, when considering that the high prevalence of fatigue, reduced initiative and facial weakness in DM1, may lead to a misconception of a major depressive condition, comparable to misjudgements done in other neurological disorders .
Data showed that depression was associated with earlier stages of DM1. This finding has been highlighted in other diseases  but stands in sharp contrast to assumptions postulating that the progressive nature of the disease contribute to the depressive condition . Indeed, our findings may seem contra-intuitive when considering that DM1 is a progressive disabling disease . Findings in the present study may be explained by patients use of instrumental coping strategies as to meet symptoms and consequences late during the disease in contrast with predominantly emotion-focused coping (crisis reaction and depression) early on. Low scores on depression, late in the disease, may also be associated with a narrowing of life expectancies and demands as the disease progress, leading to reduced stress and negative emotional reactions. A large difference between expected life circumstances and the actual life-situation might contribute to signs of depression early in the course of the disease, with closeness to an imagined life without DM1. A discrepancy between expected and actual life circumstances may also contribute to the prevalence of depression among patients with higher education. Notably however, correlations between BDI-ratings, disease duration and education were not found in the CCG, indicating disease specific associations in DM1.
Findings in this study showed significantly lower BDI scores in DM1 patients with white matter lesions (WMLs) as compared to patients with an absence of WMLs. This indicates that brain damage may actually "protect" against depression - a finding comparable to an association described in a recent study on the prevalence of post-traumatic stress disorder and brain damage among combat veterans . Hypothetically, this association may be explained by a clinical phenomenon described in DM1: a lack of awareness of deficit . A lack of awareness may be associated with reduced levels of depression as the disease progress, due to the fact that a reaction to the condition reasonably involves awareness of the condition. Generally, the ability to interpret signals from the body but also to experience deficits have been associated with localised lesions . These brain areas mainly include the prefrontal- and parieto-temporal cortex, insula and thalamus. Interestingly, when analyzing the localisation of lesions in respect to brain areas in DM1 we found a main localisation in corresponding areas; central temporal and frontal areas, but also the insula region (data not shown). We also found an association, indicating a trend (P = 0.075) between lower BDI scores and lesions in the temporal cortex. These associations indicate the need for further studies on lack of awareness in DM1, including prevalence, causative factors and further consequences.
Conclusions based on present findings are limited by several factors. Due to used study design, i.e., the inclusion of only patients with adult onset DM1, it is still an open question if an onset < 10 years is associated with a higher prevalence of depression. Furthermore, the validity of used measurement of fatigue is reasonably limited. It is of importance to incorporate reliable measures on both fatigue and daytime sleepiness in future studies due to high prevalence and possible behavioural impact in DM1 . An analysis of correlations between measures of depression and more sophisticated brain-imaging techniques such as PET and voxel based morphometry  may also reveal important associations between behavioural and imaging data beyond basic findings using conventional MRI.
This study shows a clinical depressive condition in roughly one in three patients with DM1. This condition is mild to moderate and mainly associated with early stages of the disease, a higher educational level and the absence of brain white matter lesions. This indicates an impact of both clinical and social but also neuronal factors. Considering treatment options, our data indicate a need for intervention preferentially early in the disease process. Furthermore, depression in DM1 has to be understood in the context of factors directly associated with the disease, including apathy, reduced initiative and fatigue and reasonably at first hand targeting these factors, using both medication and proper behavioural and physical interventions [35, 36].
Moussavi S, Chatterji S, Verdes E, Tandon A, Patel V, Ustun B: Depression, chronic diseases, and decrements in health: results from the World Health Surveys. Lancet. 2007, 370: 851-58. 10.1016/S0140-6736(07)61415-9.
Benedetti F, Bernasconi A, Potiggia A: Depression and neurological disorders. Curr Opin Psychiatry. 2006, 19: 14-18. 10.1097/01.yco.0000194147.88647.7f.
Kalkman JS, Schillings ML, Zwarts MJ, van Engelen BGM, Bleijenberg G: Psychiatric disorders appear equally in patients with myotonic dystrophy, facioscapulohumeral dystrophy, and hereditary motor and sensory neuropathy type I. Acta Neurol Scand. 2007, 115: 265-70. 10.1111/j.1600-0404.2006.00737.x.
Meola G: Myotonic dystrophies. Curr Opin Neurol. 2000, 13: 519-25. 10.1097/00019052-200010000-00003.
Cooper TA: Chemical reversal of the RNA gain of function in myotonic dystrophy. PNAS. 2009, 44: 18433-34. 10.1073/pnas.0910643106.
Wheeler TM, Sobczak K, Lueck JD, Osborne RJ, Lin X, Dirksen RT, Thornton CA: Reversal of RNA dominance by displacement of protein sequestered on triplet repeat RNA. Science. 2009, 325: 336-39. 10.1126/science.1173110.
Meola G, Sansone V: Cerebral involvement in myotonic dystrophies. Muscle Nerve. 2007, 36: 294-306. 10.1002/mus.20800.
Winblad S, Månsson JE, Blennow K, Jensen C, Samuelsson L, Lindberg C: Cerebrospinal fluid tau and amyloid beta42 protein in patients with myotonic dystrophy type 1. Eur J Neurol. 2008, 15: 947-52. 10.1111/j.1468-1331.2008.02217.x.
Winblad S, Lindberg C, Hansen S: Cognitive deficits and CTG repeat expansion size in classical myotonic dystrophy (DM1). Behav Brain Funct. 2006, 2: 16-10.1186/1744-9081-2-16.
Winblad S, Lindberg C, Hansen S: Temperament and character in patients with classical myotonic dystrophy type 1 (DM-1). Neuromuscul Disord. 2005, 15: 287-92. 10.1016/j.nmd.2004.12.003.
Antonini G, Soscia F, Giubilei F, De Carolis A, Gragnani F, Morinio S: Health-related quality of life in myotonic dystrophy type 1 and its relationship with cognitive and emotional functioning. J Rehabil Med. 2006, 38: 181-85. 10.1080/16501970500477967.
Brumback RA, Carlson KM: The depression of myotonic dystrophy: response to imipramine. J Neurol Neurosurg Psychiatry. 1983, 46: 587-8. 10.1136/jnnp.46.6.587.
Bungener C, Jouvent R, Delaporte C: Psychopathological and emotional deficits in myotonic dystrophy. J Neurol Neurosurg Psychiatry. 1998, 65: 353-56. 10.1136/jnnp.65.3.353.
Meola G, Sansone V, Perani D, Scarone S, Cappa S, Dragoni C: Executive dysfunction and avoidant personality trait in myotonic dystrophy type 1 (DM-1) and in proximal myotonic myopathy (PROMM/DM-2). Neuromuscul Disord. 2003, 13: 813-21. 10.1016/S0960-8966(03)00137-8.
Duveneck MJ, Portwood MM, Wicks JJ, Lieberman JS: Depression in myotonic muscular dystrophy. Arch Phys Med Rehabil. 1986, 67: 875-77.
Nordenskiöld U, Grimby G: Grip force in patients with rheumatoid arthtritis and fibromyalgia and in healthy subjects. A study with the Grippit instrument. Scand J Rheumatol. 1993, 22: 14-19. 10.3109/03009749309095105.
Mathieu J, Boivin H, Meunier D, Gaudreault M, Begin P: Assessment of a disease-specific muscular impairment rating scale in myotonic dystrophy. Neurol. 2001, 56: 336-40.
Brooke MH: A clinician's view of neuromuscular diseases. 1986, Baltimore: Williams and Wilkinson, 2
Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh JK: An inventory for measuring depression. Arch Gen Psychiatry. 1961, 4: 561-71.
Beck AT, Steer RA: Beck Depression Inventory. Manual-Swedish version. Psykologiförlaget. Fagernes, Norge. 1996
Fazekas F, Chawluk JB, Alavi A, Hurtig HI, Zimmerman R: MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. Am J Roentgenol. 1987, 149: 351-56.
Scheltens P, Barkhof F, Leys D, Pruvo JP, Nauta JJ, Vermersch P: A semiquantative rating scale for the assessment of signal hyperintensities on magnetic resonance imaging. J Neurol Sci. 1993, 114: 7-12. 10.1016/0022-510X(93)90041-V.
Di Costanzo A, Di Salle F, Santoro L, Tessitore A, Bonavita A, Tedeschi G: Pattern and significance of white matter abnormalities in myotonic dystrophy type 1: an MRI study. J Neurol. 2002, 249: 1175-1182. 10.1007/s00415-002-0796-z.
Sjögren M, Vanderstichele H, Ågren H, Zachrisson O, Edsbagge M, Wickelso C: Tau and Abeta42 in cerebrospinal fluid from healthy adults 21-93 years of age: establishment of reference values. Clin Chem. 2001, 47: 1776-81.
Vanmechelen E, Vanderstichele H, Davidsson P, Van Kerschaver E, Perre Van Der B, Sjögren M: Quantification of tau phosphorylated at threonine 181 in human cerebrospinal fluid: a sandwich ELISA with a synthetic phosphopeptide for standardization. Neurosci Lett. 2000, 285: 49-52. 10.1016/S0304-3940(00)01036-3.
Brook JD, McCurrach ME, Harley HG, Buckler AJ, Church D, Aburatani H: Molecular basis of myotonic dystrophy: expansion of a trinucleotide (CTG) repeat at the 3'end of a transcript encoding a protein kinase family member. Cell. 1992, 68: 799-808. 10.1016/0092-8674(92)90154-5.
Gelder MG, Lopéz Ibor J, Andreasen NC, (ed): New Oxford textbook of psychiatry. 2000, New York: Oxford University Press
Diagnostic and statistical manual of mental disorders DSM-IV-TR. 2000, New York: American Psychiatric Publishing, Fourth
Tickle-Degnen L, Lyons KD: Practitioners' impressions of patients with Parkinson's disease: the social ecology of the expressive mask. Soc Sci Med. 2004, 58: 603-14. 10.1016/S0277-9536(03)00213-2.
Brown R, Jahanshahi M: Depression in Parkinson's disease: a psychosocial viewpoint. Adv Neurol. 1995, 65: 61-84.
Koenigs M, Huey ED, Raymont V, Cheon B, Solomon J, Wassermann EM: Focal brain damage protects against post-traumatic stress disorder in combat veterans. Nat Neurosci. 2008, 11: 232-37. 10.1038/nn2032.
Orfei MD, Robinson RG, Bria P, Caltagironi C, Spalletta G: Unawareness of illness in neuropsychiatric disorders: phenomenological certainty versus etiopathogenic vagueness. Neuroscientist. 2008, 14: 203-22. 10.1177/1073858407309995.
Orlikowski D, Chevret S, Quera-Salva MA, Laforêt P, Lofaso F, Verschueren A: Modafinil for the treatment of hypersomnia associated with myotonic muscular dystrophy in adults: a multicenter, prospective, randomized, double-blind, placebo-controlled, 4-week trial. Clin Ther. 2009, 8: 1765-73. 10.1016/j.clinthera.2009.08.007.
Kornblum C, Reul J, Kress W, Grothe C, Amanatidis N, Klockgether T: Cranial magnetic resonance imaging in genetically proven myotonic dystrophy type 1 and 2. J Neurol. 2004, 6: 710-14.
DeRubeis JR, Siegle GJ, Hollon SD: Cognitive therapy versus medication for depression: treatment outcomes and neural mechanisms. Nat Rev Neurosci. 2008, 9: 788-96. 10.1038/nrn2345.
Clark L, Chamberlain SR, Sahakian BJ: Neurocognitive mechanisms in depression: implications for treatment. Ann Rev Neurosci. 2009, 32: 57-74. 10.1146/annurev.neuro.31.060407.125618.
The authors acknowledge Göteborg Medical Society, Research and Development Council at Sahlgrenska University Hospital, the West-Sweden Muscle Foundation, Norrbacka-Eugenia Foundation and the Swedish Research Council (K2004-03X-09909-11C) for financial support of the study. We gratefully acknowledge Elisabeth Hammarén, Physiotherapist, for measurement of mobility and occupational therapist Marianne Eriksson, for measurement of grip force; both at the Neuromuscular Centre, Sahlgrenska University Hospital in Göteborg. Parts of this paper were presented at the 7th International Myotonic Dystrophy Consortium Meeting in Wurzburg, Germany, 9-12 September 2009.
The authors declare that they have no competing interests.
SW carried out the behavioural and neuropsychological examination and participated in the conception, design, analyses, interpretation and writing of the study. CJ carried out the brain imaging studies. J-EM carried out the cerebrospinal fluid analyses. LS carried out the molecular genetic studies. CL participated in the design, acquisition of data and helped to draft the manuscript. All authors read and approved the final manuscript.
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Winblad, S., Jensen, C., Månsson, JE. et al. Depression in Myotonic Dystrophy type 1: clinical and neuronal correlates. Behav Brain Funct 6, 25 (2010). https://doi.org/10.1186/1744-9081-6-25
- Beck Depression Inventory
- Spinal Muscular Atrophy
- White Matter Lesion
- Depressive Condition
- Beck Depression Inventory Score