Abstract
Background and objectives: Speech disorders are observed in 30% of newly diagnosed sporadic amyotrophic lateral sclerosis (ALS) patients. Characterized by a dynamic course, dysfunction of articulation has not so far been well understood. The aim of this study was to analyze the influence of demographic factors (sex, age, duration of the disease) and concomitant diseases (degenerative spine disease, depression, hypertension, hypothyroidism, hyperthyroidism, and allergy) on the functioning of speech organs in ALS patients. Materials and Methods: The study group consisted of 65 patients with sporadic ALS. Patients were examined for articulatory functions by means of the Frenchay Dysarthria Assessment (FDA). Results: 68% of the study sample had spinal disorders. Logistic regression analysis showed that a decline in the functioning of lips, soft palate, length of phonation, and voice loudness was more common among men. Patients diagnosed with degenerative spine disease more often suffered from respiratory disorders, while younger patients (<60 years of age) significantly more often had the impairment of the sentence and spontaneous speech functions. Conclusions: The male gender in patients with ALS is associated with an increased risk of deterioration of the phonation length function. Patients under 60 years of age are associated with more often pronouncing sentences disorders and spontaneous speech disorders.
Keywords: amyotrophic lateral sclerosis, dysarthria, speech disorders, Frenchay dysarthria assessment
1. Background
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease, leading to speech and swallowing impairments. At the moment of diagnosis, 30% of patients already have bulbar symptoms. While men are more likely to develop ALS (1.5–2:1) [1], women more often present its bulbar form [2]. Recent publications indicate that the bulbar form of ALS is particularly more often observed in older women [3]. Dysarthria disorders in sporadic ALS make a complete loss of the ability to speak quicker [4].
Additionally, bulbar sites of onset and older age at the time of diagnosis predict more rapid disease progression [5]. The incidence of ALS in European countries is higher than in ethnically mixed populations. The mean age of sporadic ALS onset in Europe is 65 years, and 55 years for its genetically determined form. The risk of developing ALS increases in the age bracket of 50–75 years, and then starts to decrease.
The literature on the possible relationship between ALS and risk factors is rather extensive, but the authors of the available studies mainly focused on global motor disorders [2,6,7,8,9,10,11,12]. Reports on the influence of demographic factors and concomitant diseases on articulation disorders in ALS are rare.
The aim of this study was to analyze the influence of demographic factors (sex, age, education, duration of the disease) and concomitant diseases (degenerative spine disease, depression, hypertension, hypothyroidism, hyperthyroidism, and allergy) on the functioning of speech organs in patients with ALS.
2. Material and Methods
2.1. Patients
The study enrolled 65 patients—27 females and 38 males-aged between 27 and 65 years old (mean: 53.61 ± 9.15) with sporadic ALS [13] according to the El Escorial Revised Criteria [14]. The study was designed as a prospective, open-label, nonrandomized clinical trial in a single center for subjects with ALS. The ALS patients randomly enrolled in the study had to meet the following inclusion criteria:
-
(a)
probable or certain sporadic ALS form diagnosed in compliance with the El Escorial Revised Criteria,
-
(b)
ability to express informed consent,
-
(c)
mild to moderate disability documented by satisfactory bulbar and spinal motor functions (minimum score 3 on the ALS-FRSr scale for swallowing and two points for food preparation and walking-patients able to independently reach the research facility),
-
(d)
forced vital capacity (FVC) result ≥ 50%.
The exclusion criteria involved individuals suffering from any concomitant conditions affecting speech quality as well as those aged over 65 years due to the age-related decline in speech [15]. Information on comorbidities was collected based on the history. Diagnosis of comorbidities was made by specialists in the given field.
For designing the experiment, we estimated the required sample size. It was estimated using a sample size calculator. The estimated fraction size was 95% with a significance level of 0.05. The size of the general population of ALS patients in Northwestern Region of Poland amounts to about 90 people. The permissible statistical error was given at the level of 5%. Based on the above formula, the sample size required was 41.
The trial (international number: NCT02193893) was approved by the Ethics Committee of the Pomeranian Medical University in Szczecin, and conducted in accordance with the Declaration of Helsinki [13]. Written informed consent was obtained from each participant. Our study was a secondary analysis of trial data carried out according to the described recruitment rules.
2.2. Speech Test—FDA
One of the most important objective tests for evaluating the articulatory organs is the Frenchay Dysarthria Assessment (FDA). The FDA is a standardized test which relies on a 9-point rating scale applied to a patient. It provides information based on the observation of oral structures, functions and speech. The test evaluates the following functions: reflexes, respiration, tongue, lips, the soft palate, larynx, intelligibility. A 5-point rating scale (a–e) is used for the assessment, where letter ‘a’ represents norm, ‘b’ mild severity, ‘c’ moderate severity, ‘d’ considerable severity, ‘e’ profound severity. FDA is also used to assess the severity of the articulatory organs disorders and to monitor the effects of the treatment [16]. The test was conducted by a clinical speech therapist with 12 years of experience of treating neurological conditions, predominantly Parkinson’s disease (PD). The second edition of FDA utilizes the latest findings concerning motor speech disorders and their contribution to a neurological diagnosis. It has good feasibility (missing data < 5%), a high reliability of the total score (0.94), an excellent inter-rater agreement for the total score (0.96) and moderate to large construct validity for 81% of its items [16,17].
Taking into account the severity of articulation disorders according to the FDA scale, each of the domains was divided into two groups: I-without or with mild articulation disorders (‘a’ and ‘b’ disorders according to the FDA); II-with moderate, significant or severe articulation disorders (‘c’, ‘d’ and ‘e’ disorders according to the FDA).
2.3. Statistical Analysis
The statistical null hypothesis was: there is no impact of selected demographic factors on speech organs in ALS patients. The alternative hypothesis was: the analyzed demographic factors influenced dysfunction of the articulatory organs in these patients.
To assess the equality of variances for variables, the Levene’s test was used before a comparison of means. The test has shown significance (p < 0.05). For this reason and because of the non-normality of the distributions between variables (Shapiro–Wilk test), the numerical data were compared between the groups using the nonparametric Mann–Whitney U-test for variables included to the two groups. The occurrence of nominative clinical data was compared between groups I and II by means of a chi-squared test. To assess the possible influence of examined factors on articulatory organs dysfunction, analysis of logistic regression was used. p < 0.05 was considered to indicate statistical significance. All statistical analyses were performed with STATISTICA 12.5 PL.
3. Results
General characteristics of the examined population was presented in Table 1.
Table 1.
General characteristics of the examined population.
Parameters | All Patients (n = 65) | |
---|---|---|
Age (years; mean ± SD) | 53.61 ± 9.15 | |
Age (years) | ≤60 | 49 (75.38%) |
>60 | 16 (24.61%) | |
Education | higher | 20 (30.76%) |
secondary | 33 (50.76%) | |
vocational | 12 (18.46%) | |
Disease duration (months; mean ± SD) | 24.61 ± 22.08 | |
Sex | females | 27 (41.53%) |
males | 38 (58.46%) | |
Onset of symptoms | spinal | 44 (67.69%) |
bulbar | 21 (32.30%) | |
Comorbidities: | n (% rate) | |
Hypertension | 15 (23.07%) | |
Hypothyroidism/hyperthyroidism | 8 (12.30%) | |
Degenerative spine disease | 16 (24.61%) | |
Depression | 10 (15.38%) | |
Allergy | 10 (15.38%) |
SD: Standard Deviation.
Table 2 illustrates the severity of speech dysfunction in ALS patients divided into two groups measured by objective means of FDA scale.
Table 2.
Intensity of articulation functions in ALS patients divided into groups based on the FDA scale.
Articulatory Functions | Group I | Group II |
---|---|---|
Breathing | 48 (73.84%) | 17 (26.15%) |
Cough reflex | 36 (55.38%) | 29 (44.61%) |
Tongue mobility | 37 (56.92%) | 28 (43.07%) |
Swallowing reflex | 42 (64.61%) | 23 (35.38%) |
Lips performance | 40 (61.53%) | 25 (38.46%) |
Palate performance | 38 (58.46%) | 27 (41.53%) |
Voice loudness | 42 (64.61%) | 23 (35.38%) |
Pitch | 42 (64.61%) | 23 (35.38%) |
Phonation time | 23 (35.38%) | 42 (64.61%) |
Control of saliva | 42 (64.61%) | 23 (35.38%) |
Words | 55 (84.61%) | 10 (15.38%) |
Sentence | 49 (75.38%) | 16 (24.61%) |
Spontaneous speech | 40 (61.53%) | 25 (38.64%) |
Groups: I—without or with mild articulation disorders (‘a’ and ‘b’ disorders according to the FDA); II—with moderate, significant or severe articulation disorders (‘c’, ‘d’ and ‘e’ disorders according to the FDA). ALS: amyotrophic lateral sclerosis; FDA: Frenchay Dysarthria Assessment.
As Table 2 shows, moderate, significant, and severe articulation disorders (group II) were significantly more often observed in the domains of phonation time, cough reflex, tongue mobility and palate performance, while words, sentence, and breathing disorders were significantly more often mild or did not occur at all.
Regression analysis was performed to determine the relationship between demographic factors and the severity of speech organ dysfunction. The results are shown in Table 3.
Table 3.
Analysis of logistic regression.
Variables | OR | p-Value |
---|---|---|
Sex | ||
Lips | 2.6860 | 0.086 |
Soft palate | 3.1972 | 0.068 |
Length of phonation | 4.5441 | 0.013 * |
Voice loudness | 2.6110 | 0.073 |
age | ||
Sentence | 1.1084 | 0.016 * |
Spontaneous speech | 1.0747 | 0.046 * |
degenerative spine disease | ||
Breathing | 3.1121 | 0.083 * |
* p < 0.05. OR: odds ratio.
Logistic regression analysis revealed a strong relationship between male sex and the risk of deterioration of length of phonation (OR 4.54; p = 0.013), and between a young age and the impairment of the sentence and spontaneous speech functions (OR 1.11; p = 0.016 and OR 1.07; p = 0.046, respectively). The risk of a decline in the functioning of lips and soft palate, as well as voice loudness, was also higher in men, while the risk of respiratory disorders was higher in patients with degenerative spine disease, however, statistically insignificant.
4. Discussion
Dysarthria disorders in ALS are characterized by a different age of onset, as well as varied course and severity. Due to a dynamic pathological process and a wide range of possible symptoms, it seems reasonable to analyze factors that may have an impact on the functioning of speech organs in these patients. Therefore, we decided to analyze the potential influence of selected demographic factors and concomitant diseases on the course of articulation disorders in patients with sporadic ALS. Taking into account the different dynamics of the progression of the articulation organs deficiency in patients with ALS, it is necessary to indicate as many factors as possible predisposing to this dysfunction.
It is worth mentioning that, despite the fact that patients were randomly selected to the study, the population distribution of the recruited patients was very similar to the mean distribution described in the literature [11,18]. The men to women ratio in the study sample was 1.4, and the ratio described in the literature is 1–2 [19,20,21]. The mean age of ALS onset was 53.61 years (while the average is 51–66 years) [18,21,22,23,24], and 68% of the patients had spinal disorders (literature average 58–82%) [25,26,27]. Such a distribution in a relatively large group of patients allows for drawing conclusions and transposing them to the general population of ALS patients.
Our study demonstrated that a decline in the functioning of speech organs (lips and soft palate) as well as in the length of phonation and voice loudness is associated with male sex of ALS patients. The differences were significant in the case of the length of phonation. The literature data seem to confirm differences in the structure of the corticomedullary junction, and especially in neuron excitability, between sexes [28,29,30]. The above-mentioned changes in speech organs usually occur as a precursory symptom of the bulbar onset of ALS. It can be presumed that bulbar changes in men are more dynamic and more severe. Sex-related differences in the functioning of speech organs in ALS patients may result from the fact that the functioning of the twelfth cranial nerve is determined by the expression of the N-methyl-D-aspartate (NMDA) receptor subunits [31]. Estrogens increase the expression of the NMDA receptor, which stimulates the conduction, hence its possible lower sensitivity in the group of men [32].
Scientific studies conducted so far demonstrated more severe dysarthria and respiratory problems in men with ALS [33]. Sex-dependent differences in the course of ALS can be of different origin. Not without significance is the fact that men are more physically fit, whereas physical activity increases the risk of ALS [12]. Additionally, men more often have occupations that potentially increase the risk of ALS, such as physical work and professions that involve exposure to heavy metals and toxins [34]. Our study confirmed previous reports on the influence of sex on the course of disease.
Better functioning of the organs of articulation in women may also be related to differences in the frontal lobes and organization of brain functions. Women better communicate and process language stimuli [35]. While doing phonological tasks, men activate mainly the left hemisphere, whereas women show bilateral activation [36].
Our study confirmed that degenerative spine disease (preceding ALS onset) is associated with a decline in respiratory function in the course of ALS (OR 3.11; p = 0.083). Similar conclusions were drawn by Grolez et al. [37]. The upper and lower motor neurons have a significant impact on respiratory function. Cervical spinal cord (C3–C5) neurons modulate diaphragm motor neurons so that they stimulate the process of respiration and control the blood flow [38]. Degenerative spine disease most probably generates damage to both the upper and lower motor neurons and their processes that are closest to degenerative changes in the cervical spine. Thus, damage on the level of both neurons, caused by degenerative changes in the cervical spine, can speed up the development of respiratory problems and make them worse. This view is shared by other authors [39,40,41,42]. It is also supposed that spinal cord injury causes changes in the motor cortex, controlling diaphragm movements [43].
Logistic analysis also revealed a significant association between articulation disorders (sentence and spontaneous speech) and the age below 60 years. Attention is drawn to the fact that younger individuals are also at a higher risk of developing frontotemporal dementia [44,45,46,47]. It is possible that cognitive function disorders can contribute to the dysfunction of articulation in the domains of sentence and spontaneous speech, which are associated with executive functions and cognitive flexibility [48]. Impairment of this process is associated with changes in the prefrontal cortex [49]. Researchers claim that speech slows down when the bulb becomes affected. The net of junctions between corticomedullary fibers and prefrontal projections plays a key role in executive functions, including spontaneous speech [50].
Based on our study, it can be concluded that bulbar symptoms develop more quickly in patients below 60 years of age. Studies have shown that the quality of speech in ALS deteriorates with the decline in executive functions [51]. As results from our observation, ALS patients with a higher risk of developing speech disorders (i.e., younger men) should be carefully controlled as early as possible and, if necessary, provided with speech-therapy.
The main drawback of the study was the limited range of demographic determinants imposed by strict inclusion criteria and high heterogeneity of the study group.
5. Conclusions
The male gender in patients with ALS is associated with an increased risk of deterioration of the phonation length function.
Patients under 60 years of age are associated with more often pronouncing sentences’ disorders and spontaneous speech disorders.
Abbreviations
ALS | Amyotrophic Lateral Sclerosis |
FDA | Frenchay Dysarthria Assessment |
ALSFRS–R | ALS Functional Rating Scale-Revised |
FVC | Forced Vital Capacity |
PD | Parkinson’s Disease |
SD | Standard Deviation |
Author Contributions
W.P. conceived of the idea for the project and edited the English of the manuscript. B.B. conceived of the idea for the project. M.G.-J., A.M., A.W., and B.B. helped to perform the experiments. K.M.-S. and E.P. helped on the theoretical analysis and with revising the manuscript. I.R., B.M., and E.P. helped with revising the manuscript. P.N. wrote the manuscript. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Conflicts of Interest
The authors declare no conflict of interest.
References
- 1.van Es M.A., Hardiman O., Chio A., Al-Chalabi A., Pasterkamp R.J., Veldink J.H., van den Berg L.H. Amyotrophic lateral sclerosis. Lancet. 2017;4:2084–2098. doi: 10.1016/S0140-6736(17)31287-4. [DOI] [PubMed] [Google Scholar]
- 2.Sutedja N.A., Veldink J.H., Fischer K., Kromhout H., Wokke J.H., Huisman M.H., Heederik D.J., Van den Berg L.H. Lifetime occupation education, smoking, and risk of ALS. Neurology. 2007;69:1508–1514. doi: 10.1212/01.wnl.0000277463.87361.8c. [DOI] [PubMed] [Google Scholar]
- 3.Murphy N.A., Arthur K.C., Tienari P.J., Houlden H., Chiò A., Traynor B.J. Age-related penetrance of the C9orf72 repeat expansion. Sci. Rep. 2017;7:2116. doi: 10.1038/s41598-017-02364-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Yokoi D., Atsuta N., Watanabe H., Nakamura R., Hirakawa A., Ito M., Watanabe H., Katsuno M., Izumi Y., Morita M., et al. Age of onset differentially influences the progression of regional dysfunction in sporadic amyotrophic lateral sclerosis. J. Neurol. 2016;263:1129–1136. doi: 10.1007/s00415-016-8109-0. [DOI] [PubMed] [Google Scholar]
- 5.Al-Chalabi A., Hardiman O. The epidemiology of ALS: A conspiracy of genes, environment and time. Nat. Rev. Neurol. 2013;9:617–628. doi: 10.1038/nrneurol.2013.203. [DOI] [PubMed] [Google Scholar]
- 6.Forbes R.B., Colville S., Swingler R.J. Scottish ALS/MND register. The epidemiology of amyotrophic lateral sclerosis (ALS/MND) in people aged 80 or over. Age Ageing. 2004;33:131–134. doi: 10.1093/ageing/afh013. [DOI] [PubMed] [Google Scholar]
- 7.Scottish Motor Neuron Disease Research Group The scottish motor neuron disease register: A prospective study of adult onset motor neuron disease in Scotland. Methodology, demography and clinical features of incident cases in 1989. J. Neurol. Neurosurg. Psychiatry. 1992;55:536–541. doi: 10.1136/jnnp.55.7.536. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Chiò A., Logroscino G., Hardiman O., Swingler R., Mitchell D., Beghi E., Traynor B.G. Eurals Consortium. Prognostic factors in ALS: A critical review. Amyotroph Lateral Scler. 2009;10:310–323. doi: 10.3109/17482960802566824. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Ames B.N., Cathcart R., Schwiers E., Hochstein P. Uric acid provides an antioxidant defense in humans against oxidant- and radical-caused aging and cancer: A hypothesis. Proc. Natl. Acad. Sci. USA. 1981;78:6858–6862. doi: 10.1073/pnas.78.11.6858. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Armon C. Smoking may be considered an established risk factor for sporadic ALS. Neurology. 2009;73:1693–1698. doi: 10.1212/WNL.0b013e3181c1df48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Chiò A., Mora G., Calvo A., Mazzini L., Bottacchi E., Mutani R. Epidemiology of ALS in Italy: A 10-year prospective population-based study. Neurology. 2009;72:725–731. doi: 10.1212/01.wnl.0000343008.26874.d1. [DOI] [PubMed] [Google Scholar]
- 12.Beghi E., Logroscino G., Chiò A., Hardiman O., Millul A., Mitchell D., Swingler R., Traynor B.J. Amyotrophic lateral sclerosis, physical exercise, trauma and sports: Results of a population-based pilot case-control study. Amyotroph. Lateral Scler. 2010;11:289–292. doi: 10.3109/17482960903384283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Sobuś A., Baumert B., Litwińska Z., Gołąb-Janowska M., Stępniewski J., Kotowski M., Pius-Sadowska E., Kawa M.P., Gródecka-Szwajkiewicz D., Peregud-Pogorzelski J. Safety and feasibility of Lin- Cells administration to ALS patients: A novel view on humoral factors and miRNA profiles. Int. J. Mol. Sci. 2018;27:1312. doi: 10.3390/ijms19051312. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Brooks B.R., Miller R.G., Swash M., Munsat T.L. El escorial revisited: Revised criteria for the diagnosis of amyotrophic lateral sclerosis. Amyotroph. Lateral Scler. Other Mot. Neuron Disord. 2000;1:293–299. doi: 10.1080/146608200300079536. [DOI] [PubMed] [Google Scholar]
- 15.Mareschi K., Ferrero I., Rustichelli D., Aschero S., Gammaitoni L., Aglietta M., Madon E., Fagioli F. Expansion of mesenchymal stem cells isolated from pediatric adult donor bone marrow. J. Cell. Biochem. 2006;97:744–754. doi: 10.1002/jcb.20681. [DOI] [PubMed] [Google Scholar]
- 16.Enderby P., Palmer R. Frenchay Dysarthria Assessment. 2nd ed. PRO-ED; Austin, TX, USA: 2008. (FDA-2) [Google Scholar]
- 17.Pawlukowska W., Szylińska A., Kotlęga D., Rotter I., Nowacki P. Differences between subjective and objective assessment of speech deficiency in parkinson disease. J. Voice. 2018;32:715–722. doi: 10.1016/j.jvoice.2017.08.018. [DOI] [PubMed] [Google Scholar]
- 18.Longinetti E., Fang F. Epidemiology of amyotrophic lateral sclerosis: An update of recent literature. Curr. Opin. Neurol. 2019;32:771–776. doi: 10.1097/WCO.0000000000000730. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Palese F., Sartori A., Verriello L., Ros S., Passadore P., Manganotti P., Barbone F., Pisa F.E. Epidemiology of amyotrophic lateral sclerosis in Friuli-Venezia Giulia, North-Eastern Italy, 2002–2014: A retrospective population-based study. Amyotroph. Lateral Scler. Front. Degener. 2019;20:90–99. doi: 10.1080/21678421.2018.1511732. [DOI] [PubMed] [Google Scholar]
- 20.Benjaminsen E., Alstadhaug K.B., Gulsvik M., Baloch F.K., Odeh F. Amyotrophic lateral sclerosis in Nordland County, Norway, 2000–2015: Prevalence, incidence, and clinical features. Amyotroph. Lateral Scler. Front. Degener. 2018;19:522–527. doi: 10.1080/21678421.2018.1513534. [DOI] [PubMed] [Google Scholar]
- 21.Jun K.Y., Park J., Oh K.W., Kim E.M., Bae J.S., Kim I., Kim S.H. Epidemiology of ALS in Korea using nationwide big data. J. Neurol. Neurosurg. Psychiatry. 2019;90:395–403. doi: 10.1136/jnnp-2018-318974. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Turgut N., Varol S., Coglu G., Kat S., Balci K., Guldiken B., Birgili O., Kabayel L. An epidemiologic investigation of amyotrophic lateral sclerosis in Thrace, Turkey, 2006–2010. Amyotroph. Lateral Scler. Front. Degener. 2019;20:100–106. doi: 10.1080/21678421.2018.1525403. [DOI] [PubMed] [Google Scholar]
- 23.Zhou S., Zhou Y., Qian S., Chang W., Wang L., Fan D. Amyotrophic lateral sclerosis in Beijing: Epidemiologic features and prognosis from 2010 to 2015. Brain Behav. 2018;8:e01131. doi: 10.1002/brb3.1131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Leighton D.J., Newton J., Stephenson L.J., Colville S., Davenport R., Gorrie G., Morrison I., Swingler R., Chandran S., Pal S. Changing epidemiology of motor neurone disease in Scotland. J. Neurol. 2019;266:817–825. doi: 10.1007/s00415-019-09190-7. [DOI] [PubMed] [Google Scholar]
- 25.Ryan M., Zaldivar Vaillant T., McLaughlin R.L., Doherty M.A., Rooney J., Heverin M., Gutierrez J., Lara-Fernandez G.E., Rodriguez M.P., Hackembruch J., et al. Comparison of the clinical and genetic features of amyotrophic lateral sclerosis across Cuban, Uruguayan and Irish clinic-based populations. J. Neurol. Neurosurg. Psychiatry. 2019;90:659–665. doi: 10.1136/jnnp-2018-319838. [DOI] [PubMed] [Google Scholar]
- 26.Korner S., Kammeyer J., Zapf A., Kuzma-Kozakiewicz M., Piotrkiewicz M., Kuraszkiewicz B., Goszczynska H., Gromicho M., Grosskreutz J., Andersen P.M., et al. Influence of environment and lifestyle on incidence and progress of amyotrophic lateral sclerosis in a German ALS population. Aging Dis. 2019;10:205–216. doi: 10.14336/AD.2018.0327. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.D’Ovidio F., Rooney J.P., Visser A.E., Manera U., Beghi E., Logroscino G., Vermeulen R.C.H., Veldink J.H., van den Berg L.H., Hardiman O., et al. Association between alcohol exposure and the risk of amyotrophic lateral sclerosis in the Euro-MOTOR study. J. Neurol. Neurosurg. Psychiatry. 2019;90:11–19. doi: 10.1136/jnnp-2018-318559. [DOI] [PubMed] [Google Scholar]
- 28.Zhou M., Goto N., Goto J., Moriyama H., He H.J. Gender dimorphism of axons in the human lateral corticospinal tract. Okajimas Folia Anat. Jpn. 2000;77:21–27. doi: 10.2535/ofaj1936.77.1_21. [DOI] [PubMed] [Google Scholar]
- 29.Yerdelen D., Koç F., Sarica Y. The effects of gender and age on motor unit number estimation in a nor-mal population. Acta Neurol. Belg. 2006;106:5. [PubMed] [Google Scholar]
- 30.Bae J.S., Sawai S., Misawa S., Kanai K., Isose S., Shibuya K., Kuwabara S. Effects of age on excitability properties in human motor axons. Clin. Neurophysiol. 2008;119:2282–2286. doi: 10.1016/j.clinph.2008.07.005. [DOI] [PubMed] [Google Scholar]
- 31.Fuller P.I., Reddrop C., Rodger J., Bellingham M.C., Phillips J.K. Differential expression of the NMDA NR2B receptor subunit in motoneuron populations susceptible and resistant to amyotrophic lateral sclerosis. Neurosci. Lett. 2006;399:157–161. doi: 10.1016/j.neulet.2006.01.051. [DOI] [PubMed] [Google Scholar]
- 32.Smith C.C., McMahon L.L. Estradiol-induced increase in the magnitude of long-term potentiation is prevented by blocking NR2B-containing receptors. J. Neurosci. 2006;26:8517–8522. doi: 10.1523/JNEUROSCI.5279-05.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Chiò A., Calvo C., Moglia C., Mazzini L., Mora G. Phenotypic heterogeneity of amyotrophic lateral sclerosis: A population based study. J. Neurol. Neurosurg. Psychiatry. 2011;82:740–746. doi: 10.1136/jnnp.2010.235952. [DOI] [PubMed] [Google Scholar]
- 34.Gunnarsson L.G., Lindberg G., Söderfeldt B., Axelson O. Amyotrophic lateral sclerosis in Sweden in relation to occupation. Acta Neurol. Scand. 1991;83:394–398. doi: 10.1111/j.1600-0404.1991.tb03970.x. [DOI] [PubMed] [Google Scholar]
- 35.Shirao N., Okamoto Y., Okada G., Ueda K., Yamawaki S. Gender differences in brain activity toward unpleasant linguistic stimuli concerning interpersonal relationships: An fMRI study. Eur. Arch. Psychiatr. Clin. 2005;255:327–333. doi: 10.1007/s00406-005-0566-x. [DOI] [PubMed] [Google Scholar]
- 36.Ingalhalikar M., Smith A., Parker D., Satterthwaite T.D., Elliott M.A., Ruparel K., Hakonarson H., Gur R.E., Gur R.C., Verma R. Sex differences in the structural connectome of the human brain. Proc. Natl. Acad. Sci. USA. 2014;111:823–828. doi: 10.1073/pnas.1316909110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Grolez G., Kyheng M., Lopes R., Moreau C., Timmerman K., Auger F., Kuchcinski G., Duhamel A., Jissendi-Tchofo P., Besson P., et al. MRI of the cervical spinal cord predicts respiratory dysfunction in, ALS. Sci. Rep. 2018;8:1828. doi: 10.1038/s41598-018-19938-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Cleveland D.W., Rothstein J.D. From Charcot to Lou Gehrig: Deciphering selective motor neuron death in ALS. Nature reviews. Neuroscience. 2001;2:806–819. doi: 10.1038/35097565. [DOI] [PubMed] [Google Scholar]
- 39.Gautier G., Verschueren A., Monnier A., Attarian S., Salort-Campana E., Pouget J. ALS with respiratory onset: Clinical features and effects of non-invasive ventilation on the prognosis. Amyotroph. Lateral Scler. 2010;11:379–382. doi: 10.3109/17482960903426543. [DOI] [PubMed] [Google Scholar]
- 40.Corcia P., Pradat P.F., Salachas F., Bruneteau G., Forestier N., Seilhean D., Hauw J.-J., Meininger V. Causes of death in a post-mortem series of ALS patients. Amyotroph. Lateral Scler. 2008;9:59–62. doi: 10.1080/17482960701656940. [DOI] [PubMed] [Google Scholar]
- 41.Bolser D.C., Jefferson S.C., Rose M.J., Tester N.J., Reier P.J., Fuller D.D., Davenport P.W., Howland D.R. Recovery of airway protective behaviors after spinal cord injury. Respir. Physiol. Neurobiol. 2009;169:150–156. doi: 10.1016/j.resp.2009.07.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Hardiman O. Management of respiratory symptoms in ALS. J. Neurol. 2011;258:359–365. doi: 10.1007/s00415-010-5830-y. [DOI] [PubMed] [Google Scholar]
- 43.Miscio G., Gukov B., Pisano F., Mazzini L., Baudo S., Salvadori A., Mauro A. The cortico-diaphragmatic pathway involvement in amyotrophic lateral sclerosis: Neurophysiological, respiratory and clinical considerations. J. Neurol. Sci. 2006;251:10–16. doi: 10.1016/j.jns.2006.05.059. [DOI] [PubMed] [Google Scholar]
- 44.O’Brien M., Burke T., Heverin M., Vajda A., McLaughlin R., Gibbons J., Byrne S., Pinto-Grau M., Elamin M., Pender N., et al. Clustering of neuropsychiatric disease in first-degree and second-degree relatives of patients with amyotrophic lateral sclerosis. JAMA Neurol. 2017;74:1425–1430. doi: 10.1001/jamaneurol.2017.2699. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Rooney J., Fogh I., Westeneng H.-J., Vajda A., McLaughlin R., Heverin M., Jones A., van Eijk R., Calvo A., Mazzini L., et al. C9orf72 expansion differentially affects males with spinal onset amyotrophic lateral sclerosis. J. Neurol. Neurosurg. Psychiatry. 2017;88:295–300. doi: 10.1136/jnnp-2016-314093. [DOI] [PubMed] [Google Scholar]
- 46.Gil J., Funalot B., Verschueren A., Danel-Brunaud V., Camu W., Vandenberghe N., Desneuelle C., Guy N., Camdessanche J.P., Cintas P., et al. Causes of death amongst French patients with amyotrophic lateral sclerosis: A prospective study. Eur. J. Neurol. 2008;15:1245–1251. doi: 10.1111/j.1468-1331.2008.02307.x. [DOI] [PubMed] [Google Scholar]
- 47.Abrahams S., Goldstein L.H., Kew J.J.M., Brocis D.J., Lloyd C.M., Frith C.D., Leigh P.N. Frontal lobe dysfunction in amyotrophic lateral sclerosis: A PET study. Brain. 1996;119:2105–2120. doi: 10.1093/brain/119.6.2105. [DOI] [PubMed] [Google Scholar]
- 48.Abrahams S., Goldstein L.H., Simmons A., Brammer M., Williams S.C.R., Giampietro V., Leigh P.N. Word retrieval in amyotrophic lateral sclerosis: A functional magnetic resonance imaging study. Brain. 2004;127:1507–1517. doi: 10.1093/brain/awh170. [DOI] [PubMed] [Google Scholar]
- 49.Libon D.J., McMillan C., Avants B., Boller A., Morgan B., Burkholder L., Chandrasekaran K., Elman L., McCluskey L., Grossman M. Deficit in concept formation in amyotrophic lateral sclerosis. Neuropsychology. 2012;26:422–429. doi: 10.1037/a0028668. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Mioshi E., Lillo P., Yew B., Hsieh S., Savage S., Hodges J.R., Kiernan M.C., Hornberger M. Cortical atrophy in ALS is critically associated with neuropsychiatric and cognitive changes. Neurology. 2013;80:1117–1123. doi: 10.1212/WNL.0b013e31828869da. [DOI] [PubMed] [Google Scholar]
- 51.Stojkovic T., Stefanova E., Pekmezovic T., Peric S., Stevic Z. Executive dysfunction and survival in patients with amyotrophic lateral sclerosis: Preliminary report from a Serbian centre for motor neuron disease. Amyotroph. Lateral Scler. Front. Degener. 2016;17:543–547. doi: 10.1080/21678421.2016.1211148. [DOI] [PubMed] [Google Scholar]