Outcome Measures for Central Nervous System Evaluation in Myotonic Dystrophy Type 1 May Be Confounded by Deficits in Motor Function or Insight

被引:21
作者
Hamilton, Mark J. [1 ,2 ]
McLean, John [3 ]
Cumming, Sarah [2 ]
Ballantyne, Bob [1 ]
McGhie, Josephine [2 ]
Jampana, Ravi [3 ]
Longman, Cheryl [1 ]
Evans, Jonathan J. [4 ]
Monckton, Darren G. [2 ]
Farrugia, Maria Elena [5 ]
机构
[1] Queen Elizabeth Univ Hosp, West Scotland Clin Genet Serv, Glasgow, Lanark, Scotland
[2] Univ Glasgow, Coll Med Vet & Life Sci, Inst Mol Cell & Syst Biol, Glasgow, Lanark, Scotland
[3] Queen Bizabeth Univ Hosp, Inst Neurol Sci, Dept Neuroradiol, Glasgow, Lanark, Scotland
[4] Univ Glasgow, Gartnavel Royal Hosp, Inst Hlth & Wellbeing, Glasgow, Lanark, Scotland
[5] Queen Elizabeth Univ Hosp, Inst Neurol Sci, Dept Neurol, Glasgow, Lanark, Scotland
关键词
myotonic dystrophy; neuropsychology assessment; outcome measures; small pool PCR; voxel based morphometry; AMYOTROPHIC-LATERAL-SCLEROSIS; COGNITIVE IMPAIRMENT; WHITE-MATTER; CTG REPEAT; MULTIPLE-SCLEROSIS; PROCESSING SPEED; BRAIN; ADULT; EXPANSION; ABNORMALITIES;
D O I
10.3389/fneur.2018.00780
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: Central nervous system involvement in myotonic dystrophy type 1 (DM1) is associated with cognitive deficits, impaired social performance and excessive somnolence, which greatly impact quality of life. With the advent of clinical trials in DM1, there is a pressing need to identify outcome measures for quantification of central symptoms that are feasible and valid. In this context, we sought to evaluate neuropsychological and self-reported measures currently recommended by expert consensus, with particular reference to their specificity for central nervous system involvement in a moderate-sized DM1 cohort. Methods: Forty-five adults with DM1 and 20 controls completed neuropsychology assessments and symptom questionnaires. Those without contraindication also underwent MRI brain, from which global gray matter volume and white matter lesion volume were quantified. CTG repeat was measured by small pool PCR, and was screened for the presence of variant repeat sequences. Results: The neuropsychology test battery was well tolerated and detected impairment across various domains in the DM1 group vs. controls. Large effect sizes in the Stroop and Trail Making Tests were however attenuated by correction for basic speed, which could be influenced by dysarthria and upper limb weakness, respectively. Low mood was strongly associated with increased self-reporting of central symptoms, including cognitive impairment. Conversely, self-reported cognitive impairment did not generally predict poorer performance in neuropsychology assessments, and there was a trend toward greater self-reporting of low mood and cognitive problems in those with milder white matter change on MRI. Global gray matter volume correlated with performance in several neuropsychology assessments in a multivariate model with age and sex, while white matter lesion volume was associated with executive dysfunction reported by a proxy. Screening for variant repeats was positive in three individuals, who reported mild muscle symptoms. Conclusions: Identification of outcome measures with good specificity for brain involvement in DM1 is challenging, since complex cognitive assessments may be compromised by peripheral muscle weakness and self-reported questionnaires may be influenced by mood and insight. This highlights the need for further large, longitudinal studies to identify and validate objective measures, which may include imaging biomarkers and cognitive measures not influenced by motor speed.
引用
收藏
页数:15
相关论文
共 86 条
[41]   Fatigue and daytime sleepiness scale in myotonic dystrophy type 1 [J].
Hermans, Mieke C. E. ;
Merkies, Ingemar S. J. ;
Laberge, Luc ;
Blom, Eveline W. ;
Tennant, Alan ;
Faber, Catharina G. .
MUSCLE & NERVE, 2013, 47 (01) :89-95
[42]   Myotonic dystrophy type 1: clinical manifestations in children and adolescents [J].
Ho, Genevieve ;
Carey, Kate A. ;
Cardamone, Michael ;
Farrar, Michelle A. .
ARCHIVES OF DISEASE IN CHILDHOOD, 2019, 104 (01) :48-52
[43]   Differential age-dependent associations of gray matter volume and white matter integrity with processing speed in healthy older adults [J].
Hong, Zhaoping ;
Ng, Kwun Kei ;
Sim, Sam K. Y. ;
Ngeow, Mei Yi ;
Zheng, Hui ;
Lo, June C. ;
Chee, Michael W. L. ;
Zhou, Juan .
NEUROIMAGE, 2015, 123 :42-50
[44]   Quantification of brain atrophy in patients with myotonic dystrophy and proximal myotonic myopathy: a controlled 3-dimensional magnetic resonance imaging study [J].
Kassubek, J ;
Juengling, FD ;
Hoffmann, S ;
Rosenbohm, A ;
Kurt, A ;
Jurkat-Rott, K ;
Steinbach, P ;
Wolf, M ;
Ludolph, AC ;
Lehmann-Horn, F ;
Lerche, H ;
Weber, YG .
NEUROSCIENCE LETTERS, 2003, 348 (02) :73-76
[45]   Amyotrophic lateral sclerosis and frontotemporal dementia: A behavioural and cognitive continuum [J].
Lillo, Patricia ;
Savage, Sharon ;
Mioshi, Eneida ;
Kiernan, Matthew C. ;
Hodges, John R. .
AMYOTROPHIC LATERAL SCLEROSIS, 2012, 13 (01) :102-109
[46]   The Edinburgh Cognitive and Behavioural Amyotrophic Lateral Sclerosis Screen: A cross-sectional comparison of established screening tools in a German-Swiss population [J].
Lule, Dorothee ;
Burkhardt, Christian ;
Abdulla, Susanne ;
Boehm, Sarah ;
Kollewe, Katja ;
Uttner, Ingo ;
Abrahams, Sharon ;
Bak, Thomas H. ;
Petri, Susanne ;
Weber, Markus ;
Ludolph, Albert C. .
AMYOTROPHIC LATERAL SCLEROSIS AND FRONTOTEMPORAL DEGENERATION, 2015, 16 (1-2) :16-23
[47]   Cohort profile: the Scottish Research register SHARE. A register of people interested in research participation linked to NHS data sets [J].
McKinstry, Brian ;
Sullivan, Frank M. ;
Vasishta, Shobna ;
Armstrong, Roma ;
Hanley, Janet ;
Haughney, John ;
Philip, Sam ;
Smith, Blair H. ;
Wood, Amanda ;
Palmer, Colin N. A. .
BMJ OPEN, 2017, 7 (02)
[48]   THE SHORT-FORM MCGILL PAIN QUESTIONNAIRE [J].
MELZACK, R .
PAIN, 1987, 30 (02) :191-197
[49]   Executive dysfunction and avoidant personality trait in myotonic dystrophy type 1 (DM-1) and in proximal myotonic myopathy (PROMM/DM-2) [J].
Meola, G ;
Sansone, V ;
Perani, D ;
Scarone, S ;
Cappa, S ;
Dragoni, C ;
Cattaneo, E ;
Cotelli, M ;
Gobbo, C ;
Fazio, F ;
Siciliano, G ;
Mancuso, M ;
Vitelli, E ;
Zhang, S ;
Krahe, R ;
Moxley, RT .
NEUROMUSCULAR DISORDERS, 2003, 13 (10) :813-821
[50]   Cranial MRI findings in myotonic dystrophy [J].
Miaux, Y ;
Chiras, J ;
Eymard, B ;
LauriotPrevost, MC ;
Radvanyi, H ;
MartinDuverneuil, N ;
Delaporte, C .
NEURORADIOLOGY, 1997, 39 (03) :166-170