Skip to main content
Advertisement
  • Neurology.org
  • Journals
    • Neurology
    • Clinical Practice
    • Genetics
    • Neuroimmunology & Neuroinflammation
  • Specialty Sites
    • COVID-19
    • Practice Current
    • Practice Buzz
    • Without Borders
    • Equity, Diversity and Inclusion
    • Innovations in Care Delivery
  • Collections
    • Topics A-Z
    • Residents & Fellows
    • Infographics
    • Patient Pages
    • Null Hypothesis
    • Translations
  • Podcast
  • CME
  • About
    • About the Journals
    • Contact Us
    • Editorial Board
  • Authors
    • Submit a Manuscript
    • Author Center

Advanced Search

Main menu

  • Neurology.org
  • Journals
    • Neurology
    • Clinical Practice
    • Genetics
    • Neuroimmunology & Neuroinflammation
  • Specialty Sites
    • COVID-19
    • Practice Current
    • Practice Buzz
    • Without Borders
    • Equity, Diversity and Inclusion
    • Innovations in Care Delivery
  • Collections
    • Topics A-Z
    • Residents & Fellows
    • Infographics
    • Patient Pages
    • Null Hypothesis
    • Translations
  • Podcast
  • CME
  • About
    • About the Journals
    • Contact Us
    • Editorial Board
  • Authors
    • Submit a Manuscript
    • Author Center
  • Home
  • Latest Articles
  • Current Issue
  • Past Issues
  • Residents & Fellows

User menu

  • Subscribe
  • My Alerts
  • Log in
  • Log out

Search

  • Advanced search
Neurology
Home
The most widely read and highly cited peer-reviewed neurology journal
  • Subscribe
  • My Alerts
  • Log in
  • Log out
Site Logo
  • Home
  • Latest Articles
  • Current Issue
  • Past Issues
  • Residents & Fellows

Share

August 13, 2002; 59 (3) Articles

Nonmotor fluctuations in Parkinson’s disease

Frequent and disabling

T. Witjas, E. Kaphan, J. P. Azulay, O. Blin, M. Ceccaldi, J. Pouget, M. Poncet, A. Ali Chérif
First published August 13, 2002, DOI: https://doi.org/10.1212/WNL.59.3.408
T. Witjas
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
E. Kaphan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
J. P. Azulay
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
O. Blin
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
M. Ceccaldi
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
J. Pouget
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
M. Poncet
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
A. Ali Chérif
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Full PDF
Citation
Nonmotor fluctuations in Parkinson’s disease
Frequent and disabling
T. Witjas, E. Kaphan, J. P. Azulay, O. Blin, M. Ceccaldi, J. Pouget, M. Poncet, A. Ali Chérif
Neurology Aug 2002, 59 (3) 408-413; DOI: 10.1212/WNL.59.3.408

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Permissions

Make Comment

See Comments

Downloads
1743

Share

  • Article
  • Figures & Data
  • Info & Disclosures
Loading

Abstract

Objective: To assess the frequency and disability caused by nonmotor fluctuations (NMF) in PD.

Methods: A structured questionnaire was administered to 50 patients with PD with motor fluctuations (MF), focused on 54 nonmotor symptoms classified in three subgroups: 26 dysautonomic, 21 cognitive and psychiatric, and seven pain/sensory NMF. The link between each NMF and the motor state was determined. Patients were asked to grade their disability from 0 (no disability) to 4 (maximum discomfort) and to specify which kind of fluctuation subgroup (motor or nonmotor) was the most incapacitating. A statistical analysis was performed to determine the frequency of each NMF and to determine whether the level of disability resulting from NMF could be correlated to the main characteristics of the population.

Results: All patients had had at least one type of NMF, most of which were associated with the “off” state. Anxiety (66%), drenching sweats (64%), slowness of thinking (58%), fatigue (56%), and akathisia (54%) were the most frequent NMF. Some symptoms such as anxiety or dyspnea correlated with a greater level of disability. The total number of NMF was found to be correlated with the motor disability. Incapacity resulting from the dysautonomic fluctuations was also significantly correlated with levodopa treatment. Surprisingly, 28% of the patients stated that NMF involved a greater degree of disability than MF.

Conclusion: Nonmotor fluctuations are frequent and debilitating in PD.

Most patients with PD receiving long-term treatment with levodopa develop motor fluctuations (MF). MF constitute one of the most difficult problems encountered in the management of PD. However, other fluctuating symptoms of a nonmotor nature also occur. These have been described for 20 years and can be equally disabling.1 Nonmotor fluctuations (NMF) may be classified in three categories: dysautonomic, mental (cognitive/psychiatric), and sensory/pain.2 Little is known about the overall rate of occurrence of NMF among patients with fluctuating PD symptoms.3 The aim of this study was therefore to determine the type and the frequency of NMF and to assess the discomfort involved.

Methods.

Our inclusion criteria were patients with PD (according to diagnostic criteria of the United Kingdom Parkinson’s Disease Society Brain Bank4) with an MF response to levodopa. The motor complications included end-of-dose akinesia with an “off” period lasting at least 1 hour, “on-off” phenomenon, peak-of-dose and diphasic dyskinesia, and dystonia. Patients with only morning akinesia were not included. The other criteria were the absence of significant intellectual impairment as defined by a Mini-Mental State Examination (MMSE) score ≤24 and correct language comprehension. Sixty-two patients were screened for this prospective study. Twelve were excluded because of either cognitive dysfunction or language barrier. All the patients were interviewed and examined by two neurologists who both examined the initial cohort of patients together in order to ensure the homogeneity of the interview. The severity of the disease was assessed using the Unified PD Rating Scale (UPDRS) including Hoehn and Yahr staging during “on” and “off” states. MMSE and Mattis Dementia Rating Scale were used to evaluate cognitive functions. Beck Depression Inventory was used to assess mood state. Each patient was interviewed with a structured questionnaire about the NMF. This interview consisted of 54 questions about NMF manifestations: 26 dysautonomic, 21 mental, and seven sensory symptoms. These symptoms were reported in several studies and were collected to create the questionnaire.2,3,5-9⇓⇓⇓⇓⇓⇓ For each symptom, the link with the motor state was specified: the patients were asked whether the fluctuating manifestation seemed to coincide with the “on,” pre-“on,” “off,” pre-“off,” dyskinetic state or whether it did not seem to depend on the motor state (e.g., “Have you experienced any transient episodes of drenching sweats during the day in the course of the last few months?”). If the answer was yes, the patient was asked, “Might this fluctuating sweating depend on your motor state?” Prior to these questions, the exact meanings of “on,” “off,” and “dyskinetic state” were defined with the patient. At the end of the questionnaire, the patients were asked to grade the level of disability in each fluctuation subgroup (motor, dysautonomic, mental, or sensory) from 0 (no disability) to 4 (maximum discomfort) and they were asked which fluctuation category—motor or nonmotor—was the most incapacitating. The questionnaire was administered during the “on” state for the sake of the patients’ comfort. The frequency of each NMF was determined. Statistical analysis was performed using nonparametric tests. First, a Spearman rank test was performed to determine whether there existed a correlation between the level of disability and the number of symptoms in each of the NMF subgroups. A Mann-Whitney test was then performed to determine whether there existed a correlation between the presence of one specific symptom and the level of disability. Lastly, the correlation between the main characteristics of the population (age, sex, pattern of the disease (akineto-rigid, tremor, or mixed), duration of the disease, duration of dopatherapy, levodopa-equivalent daily dose calculated as outlined in the literature,10 Hoehn and Yahr state, Schwab and England score, UPDRS part III score during “on” and “off” states, MMSE, Beck Depression Inventory, Mattis Dementia Rating Scale), and the number of NMF and the disability engendered were analyzed in each NMF subgroup using Mann-Whitney, Kruskall Wallis, and Spearman rank tests. Two-sided p values < 0.05 were considered significant.

Results.

Details of the main characteristics of the population are given in table 1. Table 2 gives the various types of motor complications. The mean duration time for the interview was 2 hours. All the patients declared that they had NMF and most of them had had a combination of symptoms belonging to two or more NMF subgroups. Three patients (6%) had no dysautonomic fluctuation and five had no sensory symptom. All the patients described mental fluctuations. The most frequent NMF were anxiety (66%), drenching sweats (64%), slowness of thinking (58%), fatigue (56%), akathisia (54%), and irritability (52%) (table 3).

View this table:
  • View inline
  • View popup

Table 1 Main characteristics of the population

View this table:
  • View inline
  • View popup

Table 2 Types of motor complications

View this table:
  • View inline
  • View popup

Table 3 The most frequent nonmotor fluctuations and their rate of coincidence with the “off” state

Dysautonomic fluctuations.

The most common dysautonomic fluctuations were drenching sweats (64%), facial flushing (44%), oral dryness (44%), dyspnea, dysphagia, and constipation (40%) (table 4). The number of dysautonomic fluctuations and the degree of disability in which they resulted were highly correlated (p < 0.0001). Some of the fluctuations were associated with a high disability rating: palpitations, dyspnea, and abdominal pain were particularly highly correlated with the level of disability (p < 0.01). The number of symptoms described was larger when the handicap evaluated by the Schwab and England score was severe (p < 0.01). There was a difference between men and women, as women reported having a larger number of dysautonomic fluctuations (p < 0.05). In addition, the analysis showed the existence of a strong relationship between a high daily levodopa dose, the motor score, the severity of the disease, and the level of disability caused by dysautonomic fluctuations (p < 0.01).

View this table:
  • View inline
  • View popup

Table 4 Frequency of dysautonomic fluctuations and the corresponding motor state

Mental fluctuations.

A χ2 test was performed between the number of cognitive and psychic fluctuations for each patient. The null hypothesis corresponding to identical distribution could be ruled out (p > 0.05). Mental fluctuations were therefore divided into two groups: cognitive and psychic fluctuations. The most frequent psychic fluctuations were anxiety (66%), fatigue (56%), irritability (52%), and hallucinations (49%), whereas slowness of thinking (58%) was the most common cognitive fluctuation described (tables 5 and 6⇓). The number of cognitive and psychic fluctuations and the level of disability to which they led were found to be significantly correlated. The level of disability caused by psychic fluctuations was correlated with the presence of fluctuant anxiety or sadness (p < 0.01), whereas the level of disability resulting from cognitive fluctuations was correlated with slowness of thinking (p < 0.0001). Patients who reported a large number of psychic fluctuations had severe motor complications (“on-off” fluctuations or early morning dystonia) (p < 0.05). The number of psychic manifestations was correlated to the duration of levodopa treatment but not to the daily dose (p < 0.001). However, there was no correlation between the level of disability caused by the cognitive or psychic fluctuations and the severity of the disease or any of the main characteristics of the population. Nor was any significant link observed between the number of cognitive or psychic fluctuations or the disability generated and the scores obtained on the Mattis dementia scale or the Beck Depression Inventory (Spearman rank test).

View this table:
  • View inline
  • View popup

Table 5 Frequency of psychic fluctuations and the corresponding motor state

View this table:
  • View inline
  • View popup

Table 6 Frequency of cognitive fluctuations and the associated motor state

Sensory fluctuations.

The most frequent sensory fluctuations described by the patients were akathisia (54%), tightening sensations (42%), and tingling sensations (38%) (table 7). The number of sensory fluctuations and the level of disability in which they resulted were correlated (p < 0.001). The level of disability was also correlated with the severity of the disease (Hoehn and Yahr score) (p < 0.01) and with the handicap (UPDRS part II “off” state) (p < 0.05). There was no correlation with any of the other characteristics of the population.

View this table:
  • View inline
  • View popup

Table 7 Frequency of sensory fluctuations and the corresponding motor state

Most of the NMF such as anxiety or slowness of thinking were associated with the “off” state. However, the euphoria reported by 42% of patients and hyperactivity reported by 36% always occurred during the “on” or pre-“on” state. The total number of NMF described by each patient was directly correlated with a high motor score but not with the duration of dopaminergic treatment or the dose or any other of the characteristics tested (p < 0.05).

In response to the question at the end of the questionnaire, “Which type of fluctuations are the most disabling?” 14 of the 50 patients (28%) answered that NMF caused the greatest discomfort. Sensory/pain fluctuations were felt to be the most disabling by six patients and five patients reported that dysautonomic fluctuations induced the greatest incapacity. As far as mental fluctuations are concerned, two patients stated that cognitive fluctuations were the most debilitating, whereas one patient blamed psychic fluctuations. There was no difference between the characteristics of the patients who declared NMF to be the most disabling and those who said it was MF.

Discussion.

In this prospective study based on a structured questionnaire, all the patients with motor complications had experienced NMF of various kinds, including dysautonomic, cognitive/psychiatric, and sensory/pain according to a recognized threefold system of classification.2 Although NMF have been described for >20 years,1 they tend to be underassessed. In addition, few data are available about their prevalence in general. To our knowledge, only one previous study has been conducted on the prevalence of NMF.3 The authors reported that only 17% of the patients with fluctuant PD studied had NMF. These results are not in line with ours, but they were obtained using different methods, based on the use of a single question with an open answer (“Tell us about any symptoms that are associated with the ‘off’ state”).

Here we administered a structured questionnaire about a wide range of symptoms that can be experienced in any type of motor state. This difference between the approaches used may explain the discrepancy between the results obtained.

It is not easy to compare our results with other data in the literature, because most studies on nonmotor symptoms in PD, whether fluctuant or not, were based on one nonmotor sign of a specific kind, such as mood fluctuations, fatigue, pain, or dyspnea.11-14⇓⇓⇓ However, as regards the NMF most frequently described by the patients, our results are in agreement with those of other studies. Anxiety was the NMF most frequently reported here by the patients (66%). Similar results were obtained in a study based on anxiety in patients with PD with “on-off” MF.15 Fluctuant anxiety is preferentially associated with the “off” state (91%) as previously reported by other authors.16 Its presence is correlated with the grade of disability generated by NMF. As other authors have noted, anxiety and mood fluctuations can be more impressive than MF.2

Parkinson himself in 1817 reported autonomic dysfunction in PD, and a variety of fluctuating symptoms has been described since then.17 These include changes in blood pressure,7 dyspnea,14,18⇓ stridor,19 abdominal bloating,3 anismus,20,21⇓ facial flushing,3 bladder dysfunction,22 and drenching sweats.8,23⇓ These fluctuations are mainly associated with the “off” state but also with peak-of-dose dyskinesia.8 Drenching sweats were the second most frequent NMF reported (64%). As described by other authors, this symptom occurred mostly during the “off” state (62%) but could also occur during severe dyskinetic states (18%).8,24⇓ In this study, patients with severe disease who were taking a high dose of levodopa reported a significantly higher level of disability induced by dysautonomic fluctuations.

Concerning cognitive fluctuations, 58% of the patients we studied described cognitive slowing occurring during the “off” state. A variety of cognitive fluctuations have been reported so far, but their analysis has given rise to controversy.25-29⇓⇓⇓⇓ Furthermore, in our study, patients described only subjective symptoms that are difficult to measure. Further studies are therefore required to correlate these subjective signs with a pathologic cognitive process on the basis of neuropsychological methods of assessment.

Fatigue is a common symptom in PD. Fifty-six percent of our population reported a fluctuating sensation of fatigue during the “off” state. This result is in agreement with other studies describing the high frequency of this symptom and the disability it entails.12,30⇓

Among the sensory fluctuations, akathisia was reported to be the most frequent by 54% of the patients. Another study found a prevalence of 43% (pure akathisia and restlessness), but akathisia did not depend on any specific motor state.31 Our group of patients reported having akathisia mostly during the “off” state, as in another study.13 Sensory phenomena may cause greater distress than motor symptoms.32 In our study, six patients reported that the most incapacitating type of fluctuations was the sensory ones.

NMF are generally linked to MF. Very few patients stated that some NMF, such as pyrosis, could also occur regardless of their motor state. The level of disability induced by NMF, especially in the dysautonomic and sensory subgroups, was found to be correlated with the severity of the disease. It thus emerges that patients are likely to have more NMF if they have severe PD. This raises questions as to the physiopathology of these NMF. The fact that they are linked to the MF and the generally good response to dopaminergic treatment reported by the patients suggest that the dopaminergic system may be strongly involved. The dopaminergic system is known to either directly mediate or modulate some nondopaminergic systems such as the serotoninergic system in the case of mood fluctuations33 and the adrenergic system in that of dysautonomic fluctuations.23

The aim of this study was to quantify the frequency as well as the severity of NMF in patients with PD. Unexpectedly, 28% of the patients stated that NMF resulted in a greater level of incapacity than MF. Similar results were obtained in a preliminary study on 35 patients.34 This high percentage points to the need for NMF to be more widely recognized. In addition, some symptoms such as dyspnea, abdominal pain, or chest pain can mimic respiratory, gastrointestinal, or cardiac emergencies. Recognition of these fluctuations as part of PD has important implications. It would help to avoid unnecessary investigations and useless treatments, as most of these severe NMF respond to levodopa or subcutaneous injections of apomorphine.

This study has methodologic shortcomings that must be considered when interpreting the findings. Because it was based on the use of a questionnaire, the symptoms described were subjectively assessed. However, the two neurologists who administered the interview could assist to some “off” state and were thus able to assess whether the patients’ descriptions were accurate. During some “off” periods, e.g., one patient had severe dyspnea associated with precordialgia and high blood pressure. All the cardiac and respiratory test result results were still negative. These disabling symptoms disappeared with apomorphine injection. This patient had previously been admitted three times to an intensive care unit. He stated that dysautonomic fluctuations produced a greater degree of disability than MF. Further studies are now required on a larger population in order to confirm the validity of these results, and the assessment of NMF should become part of regular clinical practice.

The findings obtained in this study show a high prevalence (100%) of NMF involving a wide range of symptoms in patients with PD with MF. To optimize our care, recognition of these NMF is important because they are responsible for a greater level of disability than MF in 28% of all patients with parkinsonism.

Acknowledgments

Acknowledgment

The authors thank Dr. Jessica Anderson Blanc for revising the English manuscript.

  • Received December 12, 2001.
  • Accepted April 6, 2002.

References

  1. ↵
    Marsden CD, Parkes JD. “On-off” effects in patients with Parkinson’s disease on chronic levodopa therapy. Lancet . 1976; 292–296.
  2. ↵
    Riley DE, Lang AE. The spectrum of levodopa-related fluctuations in Parkinson’s disease. Neurology . 1993; 43: 1459–1464.
    OpenUrlFREE Full Text
  3. ↵
    Hillen ME, Sage JI. Non-motor fluctuations in patients with Parkinson’s disease. Neurology . 1996; 47: 1180–1183.
    OpenUrlAbstract/FREE Full Text
  4. ↵
    Hughes AJ, Daniel SE, Kilford L, Lees AJ. Accuracy of clinical diagnosis of idiopathic Parkinson’s disease: a clinicopathological study of 100 cases. J Neurol Neurosurg Psychiatry . 1992; 181–184.
  5. ↵
    Quinn NP, Koller WC, Lang AE, Marsden CD. Painful Parkinson’s disease. Lancet . 1986; i: 1366–1369.
    OpenUrl
  6. ↵
    Cantello R, Gilli M, Riccio A, Bergamaso B. Mood changes associated with “end of dose deterioration” in Parkinson’s disease. J Neurol Neurosurg Psychiatry . 1986; 49: 1182–1190.
    OpenUrlAbstract/FREE Full Text
  7. ↵
    Baratti M, Calzetti S. Fluctuation of arterial blood pressure during end-of-dose akinesia in Parkinson’s disease. J Neurol Neurosurg Psychiatry . 1984; 47: 1241–1243.
    OpenUrlAbstract/FREE Full Text
  8. ↵
    Goetz CG, Lutge W, Tanner CM. Autonomic dysfunction in Parkinson’s disease. Neurology . 1986; 36: 73–75.
    OpenUrlAbstract/FREE Full Text
  9. ↵
    Poewe W. Clinical and pathophysiologic aspects of late levodopa failure. Neurology . 1993; 43 (suppl 6): S28–S30.
    OpenUrlPubMed
  10. ↵
    Lang AE, Lozano AM, Montgomery E, Duff J, Tasker R, Hutchinson W. Posteroventral medial pallidotomy in advanced Parkinson’s disease. N Engl J Med . 1997; 337: 1036–1042.
    OpenUrlCrossRefPubMed
  11. ↵
    Menza MA, Sage J, Marshall E, Cody R, Duvoisin R. Mood changes and “on-off” phenomena in Parkinson’s disease. Mov Disord . 1990; 5: 148–151.
    OpenUrlCrossRefPubMed
  12. ↵
    Karlsen K, Larsen JP, Tandberg E, Jørgensen K. Fatigue in patients with Parkinson’s disease. Mov Disord . 1999; 14: 237–241.
    OpenUrlCrossRefPubMed
  13. ↵
    Goetz CG, Tanner CM, Levy M, Wilson RS, Garron DC. Pain in Parkinson’s disease. Mov Disord . 1986; 1: 45–49.
    OpenUrlCrossRefPubMed
  14. ↵
    Jankovic J, Nour F. Respiratory dyskinesia in Parkinson’s disease. Neurology . 1986; 36: 303–304.
  15. ↵
    Nissenbaum H, Quinn NP, Brown R, Toone B, Gotham AM, Marsden CD. Mood swings associated with the “on-off” phenomenon in Parkinson’s disease. Psychol Med . 1987; 17: 899–904.
    OpenUrlCrossRefPubMed
  16. ↵
    Maricle RA, Nutt GJ, Valentine RJ, Carter JH. Dose-response relationship of levodopa with mood and anxiety in fluctuating Parkinson’s disease: a double-blind, placebo controlled study. Neurology . 1995; 45: 1757–1760.
    OpenUrlAbstract/FREE Full Text
  17. ↵
    Parkinson J. An essay on the shaking palsy. London: Sherwood Neely & Jones, 1817.
  18. ↵
    Vincken WG, Daraway CM, Cosio MG. Reversibility of upper airway obstruction after levodopa therapy in Parkinson’s disease. Chest . 1989; 96: 210–212.
    OpenUrlCrossRefPubMed
  19. ↵
    Corbin DO, Williams AC. Stridor during dystonic phases of Parkinson’s disease. J Neurol Neurosurg Psychiatry . 1987; 50: 821–822.
    OpenUrlFREE Full Text
  20. ↵
    Mathers SE, Kempster PA, Law PJ. Anal sphincter dysfunction in Parkinson’s disease. Arch Neurol . 1989; 46: 1061–1064.
    OpenUrlCrossRefPubMed
  21. ↵
    Ashraf W, Wszolek ZK, Pfeiffer R, et al. Anorectal function in fluctuating (on-off) Parkinson’s disease: evaluation by combined anorectal manometry and electromyography. Mov Disord . 1995; 10: 650–657.
    OpenUrlCrossRefPubMed
  22. ↵
    Fitzmaurice H, Fowler CJ, Richards D, et al. Micturition disturbances in Parkinson’s disease. Br J Urol . 1985; 57: 652–656.
    OpenUrlPubMed
  23. ↵
    Sage JI, Mark MH. Drenching sweats as an “off” phenomenon in Parkinson’s disease: treatment and relation to plasma levodopa profile. Ann Neurol . 1995; 37: 120–122.
    OpenUrlCrossRefPubMed
  24. ↵
    Tanner CM, Goetz CG, Klawans HL. Autonomic dysfunction in Parkinson’s disease. In: Koller WC, ed. Handbook of Parkinson’s disease. New York: Marcel Dekker, 1992: 185–215.
  25. ↵
    Brown RD, Marsden CD, Quinn N, Wyke MA. Alterations in cognitive performance and affect arousal state during fluctuations in motor function in Parkinson’s disease. J Neurol Neurosurg Psychiatry . 1984; 47: 454–465.
    OpenUrlAbstract/FREE Full Text
  26. ↵
    Girotti E, Carella F, Grassi MP, Soliveri P, Marano R, Cara-ceni T. Motor and cognitive performances of Parkinsonian patients in the “on” and “off” phases of the disease. J Neurol Neurosurg Psychiatry . 1986; 49: 657–660.
    OpenUrlAbstract/FREE Full Text
  27. ↵
    Mohr E, Fabbrini G, Williams J, et al. Dopamine and memory function in Parkinson’s disease. Mov Disord . 1989; 4: 113–120.
    OpenUrlPubMed
  28. ↵
    Gotham AM, Brown RG, Marsden CD. “Frontal” cognitive function in patients with Parkinson’s disease “on” and “off” levodopa. Brain . 1988; 11: 299–321.
    OpenUrl
  29. ↵
    Poewe W, Berger W, Benke T, Schelosky L. High-speed memory scanning in Parkinson’s disease: adverse effects of levodopa. Ann Neurol . 1991; 29: 670–673.
    OpenUrlCrossRefPubMed
  30. ↵
    Friedman J, Friedman H. Fatigue in Parkinson’s disease. Neurology . 1993; 43: 2016–2018.
    OpenUrlAbstract/FREE Full Text
  31. ↵
    Lang AE, Johnson K. Akathisia in idiopathic Parkinson’s disease. Neurology . 1987; 37: 477–481.
    OpenUrlAbstract/FREE Full Text
  32. ↵
    Koller WC. Sensory symptoms in Parkinson’s disease. Neurology . 1984; 34: 957–959.
    OpenUrlAbstract/FREE Full Text
  33. ↵
    MacKance-Katz EF, Marek KL, Price LH. Serotoninergic dysfunction in depression associated with Parkinson’s disease. Neurology . 1992; 42: 1813–1814.
    OpenUrlAbstract/FREE Full Text
  34. ↵
    Kaphan E, Witjas T, Azulay JP, et al. Nonmotor fluctuations (NMF) in Parkinson’s disease. Neurology . 2001 (suppl 3) ;A121.

Disputes & Debates: Rapid online correspondence

No comments have been published for this article.
Comment

NOTE: All authors' disclosures must be entered and current in our database before comments can be posted. Enter and update disclosures at http://submit.neurology.org. Exception: replies to comments concerning an article you originally authored do not require updated disclosures.

  • Stay timely. Submit only on articles published within the last 8 weeks.
  • Do not be redundant. Read any comments already posted on the article prior to submission.
  • 200 words maximum.
  • 5 references maximum. Reference 1 must be the article on which you are commenting.
  • 5 authors maximum. Exception: replies can include all original authors of the article.
  • Submitted comments are subject to editing and editor review prior to posting.

More guidelines and information on Disputes & Debates

Compose Comment

More information about text formats

Plain text

  • No HTML tags allowed.
  • Web page addresses and e-mail addresses turn into links automatically.
  • Lines and paragraphs break automatically.
Author Information
NOTE: The first author must also be the corresponding author of the comment.
First or given name, e.g. 'Peter'.
Your last, or family, name, e.g. 'MacMoody'.
Your email address, e.g. higgs-boson@gmail.com
Your role and/or occupation, e.g. 'Orthopedic Surgeon'.
Your organization or institution (if applicable), e.g. 'Royal Free Hospital'.
Publishing Agreement
NOTE: All authors, besides the first/corresponding author, must complete a separate Disputes & Debates Submission Form and provide via email to the editorial office before comments can be posted.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

Vertical Tabs

You May Also be Interested in

Back to top
  • Article
    • Abstract
    • Methods.
    • Results.
    • Discussion.
    • Acknowledgments
    • References
  • Figures & Data
  • Info & Disclosures
Advertisement

Related Articles

  • No related articles found.

Topics Discussed

  • All Movement Disorders
  • Parkinson's disease/Parkinsonism

Alert Me

  • Alert me when eletters are published
Neurology: 96 (9)

Articles

  • Ahead of Print
  • Current Issue
  • Past Issues
  • Popular Articles
  • Translations

About

  • About the Journals
  • Ethics Policies
  • Editors & Editorial Board
  • Contact Us
  • Advertise

Submit

  • Author Center
  • Submit a Manuscript
  • Information for Reviewers
  • AAN Guidelines
  • Permissions

Subscribers

  • Subscribe
  • Activate a Subscription
  • Sign up for eAlerts
  • RSS Feed
Site Logo
  • Visit neurology Template on Facebook
  • Follow neurology Template on Twitter
  • Visit Neurology on YouTube
  • Neurology
  • Neurology: Clinical Practice
  • Neurology: Genetics
  • Neurology: Neuroimmunology & Neuroinflammation
  • AAN.com
  • AANnews
  • Continuum
  • Brain & Life
  • Neurology Today

Wolters Kluwer Logo

Neurology | Print ISSN:0028-3878
Online ISSN:1526-632X

© 2021 American Academy of Neurology

  • Privacy Policy
  • Feedback
  • Advertise