Cognitive and psychosocial features of childhood and juvenile MS
Citation Manager Formats
Make Comment
See Comments

Abstract
Objective: To assess the impact of multiple sclerosis (MS) on cognitive and psychosocial functioning in childhood and juvenile cases.
Methods: We used an extensive neuropsychological battery assessing IQ, memory, attention/concentration, executive functions, and language. Fatigue and depression were also measured. An interview on school and daily living activities was obtained from the parents. Performance of cases was compared with that of demographically matched healthy controls.
Results: Sixty-three patients and 57 healthy controls were assessed. Five patients (8%) exhibited a particularly low IQ (<70). Criteria for cognitive impairment (failure on at least three tests) were fulfilled in 19 patients (31%), whereas 32 patients (53%) failed at least two tests. Beyond deficits in memory, complex attention, and executive functions, the profile of deficits was characterized by involvement of linguistic abilities. In the regression analysis, the only significant predictor of cognitive impairment was an IQ score lower than 90 (odds ratio [OR] 18.2, 95% CI 4.6–71.7, p < 0.001). Considering the IQ score as a dependent variable, the only significant predictor was represented by younger age at onset (OR 0.7, 95% CI 0.5–0.9, p = 0.009). Depressive symptoms were reported by 6% of the cases, and fatigue was reported by 73% of the cases. MS negatively affected school and everyday activities in 56% of the subjects.
Conclusions: In childhood and juvenile cases, multiple sclerosis (MS) is associated with cognitive impairment and low IQ scores, the latter related to younger age at onset. These aspects are of critical importance in helping children and adolescents with MS to manage their difficulties and psychosocial challenges.
Glossary
- BRB=
- Brief Repeatable Battery;
- CDI=
- Children’s Depression Inventory;
- EDSS=
- Expanded Disability Status Scale;
- FSS=
- Fatigue Severity Scale;
- HC=
- healthy control;
- IPT=
- Indication of Pictures Test;
- MCST cat=
- Modified Card Sorting Test completed corrected categories;
- MCST nonpers=
- Modified Card Sorting Test nonperseverative errors;
- MCST pers=
- Modified Card Sorting Test perseverative errors;
- MS=
- multiple sclerosis;
- NS=
- not significant;
- ODT=
- Oral Denomination Test;
- OR=
- odds ratio;
- PCT=
- Phrase Comprehension Test;
- PVFT=
- Phonemic Verbal Fluency Test;
- SDMT=
- Symbol Digit Modalities Test;
- SPART=
- 10/36 Spatial Recall Test;
- SPART-D=
- 10/36 Spatial Recall Test–Delayed;
- SRT-CLTR=
- Selective Reminding Test–Consistent Long-Term Retrieval;
- SRT-D=
- Selective Reminding Test–Delayed;
- SRT-LTS=
- Selective Reminding Test–Long-Term Storage;
- SVFT=
- Semantic Verbal Fluency Test;
- TMT-A and B=
- Trail Making Tests A and B.
Multiple sclerosis (MS) is an inflammatory demyelinating disease of the CNS typically affecting young adults. It can cause both physical and cognitive disability, the latter estimated in 40% to 65% of cases.1 In adult-onset patients, the profile of cognitive impairment shows prominent involvement of episodic memory, complex attention, information processing speed, visuospatial abilities, and executive functions, whereas semantic memory, attentive span, and language functions are relatively preserved.1 Independently of the degree of physical impairment, cognitive impairment has high functional impact on work and everyday activities.2,3
In approximately 5% of cases, MS occurs in children or adolescents.4 In these patients, the impact on cognitive functioning can be, in hypothesis, even more dramatic than that observed in adult-onset cases, because the inflammatory demyelinating process develops during primary CNS myelinogenesis. It may therefore negatively affect ongoing maturation of white matter pathways and lead to neurodegeneration of neural networks involved in cognition. Moreover, disease-related problems during key formative years may interfere with present and future academic achievements. Conversely, brain plasticity and repair mechanisms may be more efficient in this age range, suggesting greater possibility of recovery and compensation.
Although two recent studies have contributed to rouse the interest of researchers in the field,5,6 available information on neuropsychological aspects of childhood and juvenile MS remains rather limited.7–9 It is difficult, moreover, to generalize data from published studies because of a number of limitations, such as the lack of a suitable control group or the absence of a global measure of patient cognitive function in terms of IQ.
In this Italian, multicenter study, we compared a cohort of childhood and juvenile MS cases with a group of demographically matched healthy controls (HCs) to assess the frequency, pattern, and clinical correlates of cognitive impairment and to evaluate psychosocial and academic consequences of the disease in this age range.
METHODS
Subjects.
The study cohort included all childhood and juvenile MS cases consecutively referred to 11 Italian MS centers between January 2006 and June 2007. Inclusion criteria were diagnosis of MS,10 including also cases aged younger than 10 years and aged 17 years 11 months and younger. Particular attention was dedicated to the exclusion of acute disseminated encephalomyelitis.11 At the time of the evaluation, all cases were relapse free and had not taken steroids for at least 30 days. A group of demographically matched HCs was recruited among patients’ friends and schoolmates and assessed at the coordinating center in Florence. HCs had no neurologic or major psychiatric illness, history of learning disability, serious head trauma, alcohol or drug abuse, or major medical illness.
Parents of the participants provided informed consent, and the study was approved by the ethical committee of the University of Florence.
Clinical and neuropsychological assessment.
In each center, a neurologist provided a review of the patient clinical history, treatments, and disability scoring on the Expanded Disability Status Scale (EDSS).12 A psychologist administered an extensive neuropsychological test battery to cases and controls and performed a structured interview with the cases’ parents to investigate possible MS-related academic and daily living problems. Psychologists had undergone a common training session in which administration and scoring procedures were defined and agreed upon.
Criterion for test failure was scoring under the 5th percentile of HC performance, or the 95th percentile when appropriate. Significant cognitive impairment was diagnosed in patients failing at least three tests; this cutoff was selected because less than 5% of HCs failed at least three tests.
The neuropsychological test battery assessed the following cognitive areas:
-
Global cognitive functioning (IQ) through the Wechsler Intelligence Scale for Children–Revised13
-
Verbal learning and delayed recall through the Selective Reminding Test and Selective Reminding Test–Delayed from the Rao Brief Repeatable Battery (BRB)14
-
Visuospatial learning and delayed recall through the Spatial Recall Test and Spatial Recall Test–Delayed from the BRB14
-
Sustained attention and concentration through the Symbol Digit Modalities Test from the BRB14 and the Trail Making Tests A and B15
-
Abstract reasoning through the Modified Card Sorting Test16,17
-
Expressive language through a Semantic18 and Phonemic Verbal Fluency Test19 and an Oral Denomination Test from the Aachener Aphasia Test.20 In the Verbal Fluency Test on semantic stimulus, the subject is asked to produce as many words as possible belonging to a semantic category (colors, animals, fruits, cities) within 120 seconds. The score is the average of correct words.18 In the Verbal Fluency Test on phonemic stimulus, the subject is asked to produce as many words as possible beginning with a certain letter (F, P, L) within 60 seconds. The score is the sum of correct words.19 In the Oral Denomination Test, the subject is asked to say out loud the name of visually presented images. The test includes 15 stimuli, and the score is the number of correct answers.20
-
Receptive language through the Token Test,18 the Indication of Pictures from the Neuropsychological Examination for Aphasia,21 and Phrase Comprehension Test from the Battery for the Analysis of Aphasic Deficits.22 In the Indication of Pictures, the subject must associate a name said out loud by the examiner with one of three images, including a semantic and phonemic confounder. The test consists of 10 stimuli, and the score is the number of correct answers.21 In the Phrase Comprehension Test, the subject must comprehend a semantically reversible phrase said out loud by the examiner, coupling it to one of two images. The test consists of 30 stimuli, and the score is the number of correct answers.22
Depression and fatigue were self-assessed by patients and controls through the Children’s Depression Inventory (CDI)23 and the Fatigue Severity Scale (FSS),24 with the assistance of the psychologist.
Finally, the psychologist administered to the parents of the patients a structured interview gathering information on school and everyday activities over the last year. This included a total of 15 items exploring school activities,7 hobbies and sports,4 and family and social relationships.4
The neuropsychological test battery was administered in a single session. Breaks were provided on subject request or when fatigue was evident. The whole assessment required from 2½ to 3½ hours (on average 2 hours for the test battery and 40 minutes for other interview issues).
Statistical analysis.
Group comparisons were performed through the Student t test, Mann–Whitney test, and χ2 test when appropriate. The Bonferroni correction for multiple testing was used when appropriate.
To allow a more appropriate comparison between patient and control performance, the study sample was divided into two subgroups. The first included subjects aged 8 to 13 years with 3 to 8 years of education, and the second included subjects aged 14 to 18 years with 9 to 13 years of education. Test scores of each patient were therefore compared with scores obtained by HCs within the appropriate subgroup. Possible predictors of cognitive impairment and an IQ score < 70—corresponding to “mental insufficiency” in the Wechsler Intelligence Scale for Children–Revised classification13—were assessed through stepwise regression logistic models. All statistical analysis were performed with SPSS software version 12.2 running on Windows (SPSS, Chicago, IL, 2002).
RESULTS
The study sample consisted of 120 subjects, 63 MS cases, and 57 demographically matched HCs (table 1). Disease onset occurred before age 10 years in 15 subjects (25%). Forty cases (63%) were treated with disease-modifying drugs (35 with interferon beta, 5 with glatiramer acetate), with a mean treatment duration of 1.3 ± 1.7 years (range 0.3–7.8 years). All but 1 patient had normal visual acuity or mild visual impairment which did not preclude valid neuropsychological assessment. A complete neuropsychological assessment was achieved in 61 cases (2 cases had an incomplete assessment because of poor compliance). Because the average IQ score of our HC group was in the superior range, we also repeated the analysis using a subgroup of 40 HC subjects yielding a lower average IQ (106.2 ± 10.4). Table 2 shows mean scores of cases and controls on each neuropsychological test. In comparison with the whole sample of HCs, in the MS group, both verbal and performance IQ were reduced. Seventeen patients (28%) scored in the inferior range on the Wechsler Intelligence Scale for Children–Revised, and 5 (8%) yielded scores < 70. Only 3 patients in the latter group had a previous diagnosis of mental retardation, posed after the beginning of the disease. In the remaining 5 cases, in the absence of a measure of adaptive functioning, a formal diagnosis of mental retardation according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition,25 was not appropriate. No other patient had undergone formal neuropsychological testing before the study.
Table 1 Characteristics of the study sample
Table 2 Mean scores of multiple sclerosis cases and healthy controls on the test battery
Criteria for significant cognitive impairment were fulfilled in 19 patients (31%), whereas 32 patients (53%) failed at least two tests. Comparing MS patients with the subgroup of 40 HCs with lower average IQ scores, the main results were confirmed. Although differences in mean IQ scores were no more statistically significant, the proportion of subjects yielding lower IQ scores remained significantly higher in the MS group (table 2). Moreover, using this reference group, 2 cases failed two tests instead of three and were no longer included in the cognitively impaired group, whereas no other patient was reclassified.
Self-report of depression found that only 4 respondents (6%) endorsed significant symptoms. Nine patients were classified as fatigued on the FSS using a cutoff score of 4, proposed for adults.24 However, considering the fifth percentile of HC scores, we also assessed fatigue using a cutoff score of 2. The number of fatigued patients increased to 46 (73%). The proportion of fatigued patients was comparable in the groups with and without cognitive impairment (79% vs 74%, p = 0.67).
Focusing on the subgroup of patients with cognitive impairment, we found that 15 of 19 subjects had an IQ score < 90. The number and type of tests failed by cognitively impaired cases are listed on table 3. Functions most frequently involved included memory (particularly visuospatial memory), complex attention, verbal comprehension, and executive functions.
Table 3 Neuropsychological tests failed by cognitively impaired multiple sclerosis subjects
Analysis of cognitive impairment was also performed considering the subject performance within each cognitive domain (table 2). Using as the reference criterion the fifth percentile of HC performance, we obtained similar results. The proportion of cognitively impaired cases was 27% (failure in at least three cognitive domains), with a substantially comparable profile of the deficits.
Comparing the two age subgroups, cognitively impaired subjects were 33% in the group aged 8 to 13 years and 30% in the other group (p = 0.83). The profile of deficits did not show any significant difference, with the exception of the Spatial Recall Test, which was more frequently failed by patients aged 14 to 18 years (p = 0.003).
The comparison between cognitively impaired and cognitively preserved patients (table 4) showed a significantly higher proportion of subjects with an IQ score < 90 in the impaired group (15 of 19 subjects, p < 0.01). In a logistic regression analysis including as possible predictors age, sex, educational level, age at onset, number of relapses in the past 2 years, EDSS score, disease-modifying treatment, and IQ, the only significant predictor of cognitive impairment was an IQ score lower than 90 (β 2.90, odds ratio [OR] 18.2, 95% CI 4.6–71.7, p < 0.001). In a further analysis, considering an IQ score < 70 as a dependent variable, the only significant predictor was represented by younger age at onset (β −0.36, OR 0.7, 95% CI 0.5–0.9, p = 0.009).
Table 4 Characteristics of cognitively impaired and cognitively preserved multiple sclerosis subjects
An interview with the parents was obtained in 41 cases (14 classified as cognitively impaired), from the mother in 30 and from the father in the remaining cases. It revealed that MS had a significant impact on school activities and achievements: 4 of 41 children (10%) had a teacher of support because of cognitive difficulties; 9 (22%) had to repeat a year in school because of multiple missed school days (4 cases) or cognitive difficulties (5 cases). The duration of MS-related absences ranged from 10 to 60 days over the past year (10–30 days: 10 cases; 31–60 days: 10 cases). Absences were most often associated with relapses (6 cases), hospital admissions, medical appointments and exams (14 cases), and therapy side effects (9 cases). Hobbies and sport activities were also negatively affected by the disease in 14 cases (34%), 9 of whom classified as cognitively impaired: 7 cases had to reduce or change their usual sport activities because of disease-related difficulties, and another 7 had to quit sport activities altogether. Behavioral changes were reported by parents in 16 cases (39%), 7 of whom classified as cognitively impaired. Changes included increased levels of anxiety (9 cases), disruptive behavior with aggressiveness toward family members and peers (3 cases), isolation, and feelings of sadness and insecurity (1 case).
DISCUSSION
Acquisition of information on MS-associated cognitive problems in childhood and juvenile cases is of critical importance for helping children and adolescents with MS to manage their difficulties and psychosocial challenges.
Cognitive impairment in this age range has been investigated in two recent uncontrolled studies. In a series of 10 cases,6 significant neuropsychological deficits on several cognitive domains were found. In the other study5 including 37 cases, cognitive impairment was found in 35% with academic problems in more than a third of the children. A recent longitudinal study of 12 patients also documented further cognitive decline over a 21-month follow-up.26
We found a 31% prevalence of significant cognitive impairment, whereas 53% of the patients exhibited minor degrees of cognitive dysfunction, failing at least two tests. Moreover, 28% of the cases had an IQ score < 90, and 8% had an IQ score < 70.
A multivariate analysis of possible clinical predictors of cognitive impairment revealed that EDSS and number of relapses were not adequate descriptors of the patient cognitive status. A previously published study reported significant relationships with disability levels, number of relapses, and disease duration.5 In this study, however, cognitive defects were detected also in subjects with low disability levels. Although differences in methodology and characteristics of the patients may account for these inconsistencies, our findings are in agreement with several reports of cognitive impairment in adults that have shown poor relationships with disability levels and disease duration.27–31 It is noteworthy that in our cohort the only significant correlate of cognitive impairment was an IQ score in the inferior range and that, in turn, low IQ score was significantly associated with younger age at onset. This finding is consistent with a previous report6 of a relationship between cognitive disability and younger age at onset.
It is therefore possible to hypothesize that the more precocious the neuropathological damage in the CNS is, the more disruptive the global impact is on the development of intellectual faculties and, consequently, on the subject general intelligence.
In our sample, the proportion of patients treated with disease-modifying drugs was comparable in the cognitively impaired and preserved groups. However, it is possible that the therapy may positively influence the cognitive outcome of the subject in the long term.32
Regarding the pattern of cognitive impairment, as in previous studies,5,6,27,33 we observed prominent defects of verbal and visuospatial memory, complex attention, and aspects of executive functions. Extrapolation of these findings would predict a high functional impact, because skills involving these faculties are increasingly emphasized in the higher academic degrees. In particular, for their critical role, executive function deficits deserve a more detailed evaluation in further studies, using a broader range of assessment tools. We also documented language problems in 20% to 40% of the cases, particularly in terms of verbal comprehension and, to a lesser extent, verbal fluency. Deficits of receptive language have been reported in a recent study,6 whereas verbal fluency was normal in another series.5 Involvement of linguistic function is perhaps the most peculiar finding in childhood and juvenile compared with adult cases. With the exception of verbal fluency, linguistic problems are rarely reported in adults, and it is believed that they may derive from impairment in other cognitive domains.27,34,35 Because in pediatric cases the disease occurs during a critical phase for the development of linguistic faculties, language may prove to be particularly vulnerable in this age range. Even subtle language difficulties are likely to have important functional consequences. Therefore, systematic assessment of language function in pediatric MS deserves particular attention in future studies.
Fatigue is one of the most frequent and invalidating symptoms in adult MS patients.36 In our study, we used the FSS, and we applied a cutoff score of 2 on the basis of the HC assessment. With this approach, we documented significant fatigue in 73% of the cases. It is also possible that the FSS is not fully adequate to capture symptoms in a pediatric population and that some items may require an adaptation or modification. However, this finding points to the necessity to systematically assess and treat fatigue also in this age range.
Depression is another highly prevalent disturbance in MS and one of the most important determinants of the subject’s quality of life.37,38 In a previous study, using a structured psychiatric evaluation, depression was reported in 50% of childhood and juvenile cases.5 Using self-assessment on the CDI, we found a 6% prevalence. In our study, the prevalence of depression can be underestimated because of low sensitivity in assessment. In this respect, one of the major limitations of the study is the lack of a systematic referral to psychiatric examination for a formal diagnosis of depression or behavioral disorder.
Finally, using an interview with parents, we confirmed that the disease had a great functional impact and that, beyond the extent of physical disability, cognitive problems play a relevant role negatively affecting school, everyday, and social activities.
On the whole, our findings emphasize the importance of systematic assessment of cognitive and psychosocial problems in childhood and juvenile MS patients. They also provide a few clues for planning future research in the field and developing comprehensive intervention strategies.
ACKNOWLEDGMENT
The authors thank Orietta Picconi, MScStat (Public Health Agency of Lazio, Italy), for the supervision of the statistical analysis and Faustino Colombo and the Fencing Society of Prato for help in the recruitment of healthy controls.
APPENDIX
Multiple Sclerosis Study Group of the Italian Neurological Society: M.P. Amato, B. Goretti, V. Zipoli, E. Portaccio, S. Centorrino, V. Contri (Department of Neurology, University of Florence); S. Lori (Neurological Unit, Meyer Hospital, Florence); M. Falcini (Neurological Unit, Hospital of Prato); G. Comi, L. Moiola, M. Falautano (Department of Neurology, San Raffaele Scientific Institute, Milan); M. Trojano, M.F. De Caro, M. Lopez (Department of Neurology, University of Bari); F. Patti, R. Vecchio (Department of Neurology, University of Catania); P. Gallo, P. Grossi (Department of Neurology, University of Padua); A. Bertolotto, S. Giampaolo (MS Centre, Hospital S Luigi Gonzaga, Orbassano, Turin); C. Pozzilli, V. Bianchi (Department of Neurological Sciences, “La Sapienza” University, Rome); I. Manca, C. Masia (Hospital of Sassari); R. Bergamaschi, P. Veggiotti (Multiple Sclerosis Center, Neurological Institute C. Mondino, Pavia); A. Ghezzi, M. Roscio (MS Centre, Hospital of Gallarate, Italy).
Footnotes
-
Disclosure: Supported in part by a grant from Biogen-Dompè.
Received November 6, 2007. Accepted in final form February 13, 2008.
REFERENCES
- 1.↵
- 2.↵
- 3.
- 4.↵
- 5.↵
MacAllister WS, Belman AL, Milazzo M, et al. Cognitive functioning in children and adolescents with multiple sclerosis. Neurology 2005;64:1422–1425.
- 6.↵
Banwell BL, Anderson PE. The cognitive burden of multiple sclerosis in children. Neurology 2005;64:891–894.
- 7.↵
- 8.
Dale RC, de Sousa C, Chong WK, Cox TC, Harding B, Neville BG. Acute disseminated encephalomyelitis, multiphasic disseminated encephalomyelitis and multiple sclerosis in children. Brain 2000;123(pt 12):2407–2422.
- 9.
Kalb RC, Di Lorenzo TA, La Rocca NG, et al. The impact of early-onset multiple sclerosis on cognitive and social indices. Int J MS Care [serial online] 1999;1:1–6. Available at: http://www.mscare.org/cmsc/Journal-of-MS-Care.html. Accessed March 10, 2008.
- 10.↵
- 11.↵
Krupp LB, Banwell B, Tenembaum S. Consensus definitions proposed for pediatric multiple sclerosis and related disorders. Neurology 2007;68:S7–S12.
- 12.↵
Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 1983;33:1444–1452.
- 13.↵
Wechsler D. WISC-R Manual for the Wechsler Intelligence Scale for Children–Revised. New York: Psychological Corporation, 1974.
- 14.↵
Rao SM. A Manual for the Brief Repeatable Battery of Neuropsychological Tests in Multiple Sclerosis. Milwaukee: Medical College of Wisconsin, 1990.
- 15.↵
Reitan RM. The relation of the trail making test to organic brain damage. J Consult Psychol 1955;19:393–394.
- 16.↵
- 17.
Nocentini U, Di Vincenzo S, Panella M, Pasqualetti P, Caltagirone C. La valutazione delle funzioni cognitive nella pratica neuropsicologica: dal Modified Card Sorting Test al Modified Card Sorting Test–Roma Version. Dati di standardizzazione. Rivista di neurologia 2002;12:14–24.
- 18.↵
Spinnler H, Tognoni G. Standardizzazione e taratura Italiana di test neuropsicologici. Ital J Neurol Sci 1987;6 (suppl 8):12–120.
- 19.↵
Novelli G, Laiacona M, Papagno C, Vallar G, Capitani E, Cappa SF. Tre test clinici di ricerca e produzione lessicale. Taratura su soggetti normali. Arch Neurol Psicol Psichiatr 1986;47:477–506.
- 20.↵
De Bleser R, Denes G, Luzzatti C, et al. L’ Aachener Aphasie Test (AAT), I: problemi e soluzioni per una versione italiana del test e per uno studio crosslinguistico dei disturbi afasici. Archivio di Psicologia, Neurologia e Psichiatria 1986;47:209–237.
- 21.↵
Capasso R, Miceli G. Esame neuropsicologico per l’afasia (E.N.P.A.). Milan, Springer Verlag, 2001.
- 22.↵
Miceli G, Laudanna A, Burani C, Capasso R. Batteria per l’Analisi dei Deficit Afasici BADA: Università Cattolica del Sacro Cuore. Servizio di Neuropsicologia, Consiglio Nazionale delle Ricerche. Istituto di Psicologia, 1994.
- 23.↵
Kovacs M. Children’s Depression Inventory. Italian edition: Camuffo M, Cerutti R, Lucarelli L, Mayer R. CDI Questionario Di Autovalutazione. Firenze: Organizzazioni Speciali, 1988.
- 24.↵
- 25.↵
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 4th ed. Washington, DC: American Psychiatric Association, 1994.
- 26.↵
- 27.↵
Rao SM, Leo GJ, Bernardin L, Unverzagt F. Cognitive dysfunction in multiple sclerosis, I: frequency, patterns, and prediction. Neurology 1991;41:685–691.
- 28.
- 29.
Jambor KL. Cognitive functioning in multiple sclerosis. Br J Psychiatry 1969;115:765–775.
- 30.
Achiron A, Barak Y. Cognitive impairment in probable multiple sclerosis. J Neurol Neurosurg Psychiatry 2003;74:443–446.
- 31.
Amato MP, Bartolozzi ML, Zipoli V, et al. Neocortical volume decrease in relapsing-remitting MS patients with mild cognitive impairment. Neurology 2004;63:89–93.
- 32.↵
- 33.
- 34.
- 35.
- 36.↵
Bakshi R. Fatigue associated with multiple sclerosis: diagnosis, impact and management. Mult Scler 2003;9:219–227.
- 37.↵
- 38.
Siegert RJ, Abernethy DA. Depression in multiple sclerosis: a review. J Neurol Neurosurg Psychiatry 2005;76:469–475.
Letters: Rapid online correspondence
- Cognitive and psychosocial features of childhood and juvenile MS
- Hadi Hussain, Department of Internal Medicine, Combined Military Hospital, Room No 18,CMH Officer Mess, Abdul Rehman Road,Saddar,Lahore,Pakistanhadimeeran@yahoo.com
- Ahmad Usman,Qasim Raza
Submitted August 08, 2008 - Reply from the authors
- Maria Pia Amato, Department of Neurology, University of Flo, viale Morgagni 85, 50134 Florence Italymariapia.amato@unifi.it
- B Goretti, A Ghezzi, S Lori, V Zipoli, E Portaccio, L Moiola, M Falautano , MF De Caro, M Lopez, F Patti, R Vecchio, C Pozzilli, V Bianchi, M Roscio, G Comi, M Trojano for the MS Study group of the Italian Neuorological Society
Submitted August 08, 2008
REQUIREMENTS
If you are uploading a letter concerning an article:
You must have updated your disclosures within six months: http://submit.neurology.org
Your co-authors must send a completed Publishing Agreement Form to Neurology Staff (not necessary for the lead/corresponding author as the form below will suffice) before you upload your comment.
If you are responding to a comment that was written about an article you originally authored:
You (and co-authors) do not need to fill out forms or check disclosures as author forms are still valid
and apply to letter.
Submission specifications:
- Submissions must be < 200 words with < 5 references. Reference 1 must be the article on which you are commenting.
- Submissions should not have more than 5 authors. (Exception: original author replies can include all original authors of the article)
- Submit only on articles published within 6 months of issue date.
- Do not be redundant. Read any comments already posted on the article prior to submission.
- Submitted comments are subject to editing and editor review prior to posting.
You May Also be Interested in
Hemiplegic Migraine Associated With PRRT2 Variations A Clinical and Genetic Study
Dr. Robert Shapiro and Dr. Amynah Pradhan
Related Articles
- No related articles found.