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

April 12, 2005; 64 (7) Articles

Association between mild parkinsonian signs and mild cognitive impairment in a community

E. D. Louis, N. Schupf, J. Manly, K. Marder, M. X. Tang, R. Mayeux
First published April 11, 2005, DOI: https://doi.org/10.1212/01.WNL.0000156157.97411.5E
E. D. Louis
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
N. Schupf
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
J. Manly
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
K. Marder
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
M. X. Tang
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
R. Mayeux
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Full PDF
Citation
Association between mild parkinsonian signs and mild cognitive impairment in a community
E. D. Louis, N. Schupf, J. Manly, K. Marder, M. X. Tang, R. Mayeux
Neurology Apr 2005, 64 (7) 1157-1161; DOI: 10.1212/01.WNL.0000156157.97411.5E

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
740

Share

  • Article
  • Figures & Data
  • Info & Disclosures
Loading

Abstract

Background: Mild parkinsonian signs (MPS) are associated with prevalent and incident dementia but it is not known whether they are associated with mild cognitive impairment (MCI).

Objective: To determine whether MPS and specific MPS (changes in axial function, rigidity, tremor) are associated with MCI in nondemented community-dwelling older people in northern Manhattan, NY.

Methods: Participants underwent neurologic assessment, including a modified motor portion of the Unified Parkinson Disease Rating Scale. MCI was diagnosed in nondemented participants who had cognitive impairment based on neuropsychological testing and no functional impairment. Participants with MCI were classified as having MCI with memory impairment (MCI+M) vs MCI without memory impairment (MCI-M).

Results: MCI was present in 608 (27.3%) of 2,230 participants, including 255 participants with MCI+M and 353 with MCI-M; 1,622 participants did not have MCI. MPS were present in 369 (16.5%) of 2,230 participants. In a univariate logistic regression model, odds of MCI+M (vs no MCI) were 51% higher in participants with MPS compared to those with no MPS (OR = 1.51, 95% CI = 1.09 to 2.09, p = 0.01). Multivariate models yielded similar results (OR = 1.45, 95% CI = 1.03 to 2.05, p = 0.03). Rigidity was present in a higher proportion of participants with MCI+M compared to participants without MCI.

Conclusions: Mild parkinsonian signs, especially rigidity, are associated with amnestic mild cognitive impairment. Mild parkinsonian signs and mild cognitive impairment may share similar pathogeneses. Whether this involves Alzheimer-type pathology, Lewy bodies, or vascular changes in the basal ganglia or basal ganglia circuitry deserves further investigation in postmortem studies.

Mild parkinsonian signs (MPS), including rigidity, changes in axial function, and resting tremor, occur in 15 to 40% of community-dwelling older people and are associated with functional impairment.1,2 In longitudinal studies, MPS increase in severity over time3 and they are associated with incident dementia4,5 and an increased risk of mortality.6 It is unclear whether the emergence of MPS reflects an age-associated decline in nigrostriatal dopaminergic activity or whether these motor signs are due to the presence of emerging dementia or subcortical cerebrovascular disease.7

While the association of MPS with both prevalent and incident dementia has been demonstrated,1,2,4,5 it is not known whether these signs are associated with milder cognitive problems, which can precede dementia in some individuals. In addition, while it is clear that some MPS (changes in axial function) are more strongly associated with dementia than other MPS (tremor), the associations between specific MPS and MCI have not been studied.

The primary goals of the present analysis were 1) to examine the potential association between MPS and MCI in nondemented community-dwelling older people living in Washington Heights–Inwood, northern Manhattan, NY, who had an evaluation between 1999 and 2001, and 2) to determine whether specific MPS (changes in axial function, rigidity, tremor) were associated with MCI.

Methods.

Study population.

Participants were drawn by random sampling of healthy Medicare beneficiaries aged ≥65 years residing within a geographically defined area of northern Manhattan, NY. The cohort represents a combination of continuing members of a cohort originally recruited in 1992 and members of a new cohort recruited between 1999 and 2001, with approximately one-quarter of the sample from the original 1992 cohort and three-quarters from the new cohort. Recruitment of all participants was initially achieved by contacting a stratified random sample of 50% of all persons older than 65 years obtained from the Health Care Finance Administration (CMS: Center for Medicare Services). Potential participants were excluded if they did not speak English or Spanish. As of July 1, 2004, data were available on 2,776 participants who were evaluated between 1999 and 2001 (for the original 1992 cohort this represented their third follow-up assessment and for the new cohort this represented their baseline assessment). The mean age of the 2,776 participants was 78.2 ± 7.1 years, mean education was 9.9 ± 4.9 years, and 1,886 (67.9%) were women and 1,098 (39.6%) were Hispanic.

At the evaluation, demographic data were collected. Each participant also underwent a structured interview of health and function, which included a questionnaire about medical illnesses (e.g., arthritis, diabetes mellitus), and a standardized neurologic examination, which included an abbreviated (10-item) version of the motor portion of the Unified PD Rating Scale (UPDRS).8 We assigned a diagnosis of PD or Parkinson plus syndrome based on research criteria9 and participants were considered to have PD or Parkinson plus syndrome if 1) they had previously received a diagnosis of PD or Parkinson plus syndrome, or 2) they had two or more cardinal signs of parkinsonism on the standardized neurologic examination. Cardinal signs were bradykinesia, rigidity, postural instability, and rest tremor. For the diagnosis of PD or Parkinson plus syndrome, a cardinal sign was considered to be present when one UPDRS rating was ≥2. There were eight participants with one cardinal sign and either 1) increased tone in the setting of upper motor neuron signs (e.g., patients with a history of a symptomatic stroke with residual weakness or patients with MS) or 2) stooped posture due to severe musculoskeletal problems (e.g., kyphosis, scoliosis); these eight were not diagnosed with PD. Thirty-two (1.2%) participants had a diagnosis of PD or a Parkinson plus syndrome, which is consistent with a prevalence of PD that has been reported for persons ≥65 years of age in northern Manhattan.10 These 32 were excluded because our intention was to study a community population of older people without these diseases. We also excluded 330 (12.0%) of the remaining 2,744 participants because they had dementia. Participants with incomplete UPDRS data (n = 128) were excluded as well. Parkinsonian signs can result from the use of neuroleptic medications, but none of the remaining patients were taking these. Fifty-six were excluded because they had incomplete neuropsychological evaluations.

In total, 546 participants were excluded. The final sample, 2,230 participants, had a mean age of 77.2 ± 6.6 years, mean education of 10.3 ± 4.8 years, and 1,505 (67.5%) were women and 834 (37.4%) were Hispanic. The study was approved by our Institution’s Internal Review Board and written informed consent was obtained from all participants.

Neurologic evaluation.

As noted above, a standardized neurologic examination was conducted, including an abbreviated (10-item) version of the motor portion of the UPDRS.8 The 10 items were speech, facial expression, tremor at rest (in any body region), rigidity (rated separately in the neck, right arm, left arm, right leg, and left leg), posture, and body (axial) bradykinesia. Each of the ten items was rated from 0 to 4. A rating of 1 indicated a mild abnormality and a rating ≥2 indicated an abnormality of moderate or greater severity. A parkinsonian sign score (range = 0 [no parkinsonian signs] to 40 [maximum]) was calculated for each participant.

General medical doctors administered the modified motor portion of the UPDRS. These medical doctors were trained using a structured protocol, including 1) a 2-hour didactic session with a neurologist (E.D.L.) on physical findings in patients with parkinsonism and the administration and rating of the abbreviated motor portion of the UPDRS, 2) viewing a published UPDRS teaching videotape,11 3) rating the full motor UPDRS examination on four videotaped sample patients on the teaching videotape, and 4) feedback from the neurologist on their ratings. Inter-rater reliability of their ratings of the teaching videotape was substantial to excellent for each item (weighted kappa statistics for ratings were as follows: speech = 0.81, facial expression = 0.84, tremor at rest = 0.90, posture = 0.65, and axial bradykinesia = 0.87).

MPS were defined as present when any one of the following conditions was met: 1) two or more UPDRS ratings = 1 or 2) one UPDRS rating ≥2 or 3) the UPDRS rest tremor rating ≥1. The parkinsonian sign score was stratified into three subscores (axial function, rigidity, tremor) based on a factor analysis.12 An abnormality in axial function was considered present when the participants had 1) UPDRS ratings = 1 in two or more of the four items of axial function (changes in speech, facial expression, posture, and axial bradykinesia) or 2) one UPDRS rating ≥2 in one the four items. An abnormality in rigidity was considered present when the participants had either 1) UPDRS ratings = 1 in two or more of the five items of rigidity (neck rigidity, right arm rigidity, left arm rigidity, right leg rigidity, left leg rigidity) or 2) one UPDRS rating ≥2 in one of the five items. Tremor was considered present when the participants had a UPDRS rest tremor rating ≥1.

All participants underwent a standardized neuropsychological battery.13 The neuropsychological battery was designed to assess cognitive functions that are typically affected in dementia13 and included measures of learning and memory, orientation, abstract reasoning, language, and visuospatial ability. Specific ability areas and tests administered include verbal list learning and memory (Selective Reminding Test),14 nonverbal memory (multiple choice version of the Benton Visual Retention Test [BVRT]),15 orientation (items from the Mini-Mental State Examination),16 verbal reasoning (Similarities subtest of the Wechsler Adult Intelligence Scale–Revised),17 nonverbal reasoning (Identities and Oddities subtest of the Mattis Dementia Rating Scale),18 naming (15-item version of the Boston Naming Test),19 letter fluency (Controlled Word Association),20 category fluency (animals, food, and clothing, using procedures from the Boston Diagnostic Aphasia Examination [BDAE]),21 repetition (high-frequency phrases of the BDAE),21 auditory comprehension (first six items of the Complex Ideational Material subtest of the BDAE),21 visuoconstruction (Rosen Drawing Test),22 and visuoperceptual skills (multiple choice matching of figures from the BVRT).15

Participants were considered demented if they met established criteria,23 including a disturbance of intellectual function that interfered with work or social activities, demonstrable impairment in memory based on neuropsychological testing, impairment in at least two other cognitive domains, and the absence of delirium. A designation of mild cognitive impairment (MCI) required 1) objective impairment in at least one of four cognitive domains (memory, executive function, language, visuospatial) based on performance on the neuropsychological test battery and a 1.5 SD cutoff for a domain score using normative corrections for age, years of education, ethnicity, and sex, 2) a subjective complaint of memory impairment, and 3) absence of functional impairment, according to published criteria.24,25 Participants with MCI were stratified into those with 1) isolated impairment in memory or impairment in memory as well as one or more other cognitive domains (e.g., executive function, language, visuospatial) or 2) no impairment in memory but impairment in two or more other cognitive domains. These were designated as MCI with memory impairment (MCI+M) and MCI with no memory impairment (MCI-M).

Depressive symptoms were assessed and rated with a nine-item version of the Center for Epidemiologic Study Depression (CESD) scale,26 in which individuals reported symptoms of depression (0 [no depressive symptoms] to 9 [maximal depressive symptoms]).

Statistical analyses.

Analyses were cross-sectional (SPSS version 11.0). Differences in categorical variables were assessed with χ2 tests and differences in continuous variables with either t tests or analysis of variance (tables 1 and 2). A univariate logistic regression model was used to assess association between MCI+M (outcome = MCI+M vs no MCI, and excluding participants with MCI-M) and MPS. A similar univariate logistic regression model assessed the association between MCI-M (outcome = MCI-M vs no MCI, and excluding participants with MCI+M) and MPS. In multivariate logistic regression models, we included covariates if they were associated with both the dependent and independent variables (p < 0.01) or for which there was considerable a priori evidence that they were potential confounders. Putative confounders were age in years, sex, ethnicity (non-Hispanic white, Hispanic, non-Hispanic African American, and other), years of education, CESD score, smoker (ever vs never), and medical illnesses that were each coded as present vs absent by self-report (hypertension, diabetes mellitus, arrhythmia, congestive heart failure, peripheral vascular disease, stroke, arthritis, myocardial infarction, cancer, and chronic obstructive pulmonary disease). Finally, a cohort variable was included in these models to adjust for any cohort differences (original 1992 cohort vs 1999 to 2001 cohort).

View this table:
  • View inline
  • View popup
  • Download powerpoint

Table 1 Demographic and clinical characteristics of participants stratified by MCI

View this table:
  • View inline
  • View popup
  • Download powerpoint

Table 2 Parkinsonian signs stratified by MCI

Results.

MCI was present in 608 (27.3%) of 2,230 participants, including 255 with MCI+M and 353 with MCI-M; 1,622 participants did not have MCI. Participants with MCI+M differed from those without MCI in their CESD score and parkinsonian sign score but were otherwise similar (see table 1). Participants with MCI-M differed from those without MCI in years of education and CESD score but were otherwise similar (see table 1). MPS were present in 369 (16.5%) of 2,230 participants; 165 (7.4%) had an abnormality in axial function, 216 (9.7%) had rigidity, and 92 (4.1%) had tremor. There were some differences between participants with MPS and those without MPS. Several of these differences were small but, due to the large sample size, they were significant. These differences included age (80.2 ± 7.0 vs 76.5 ± 6.4, p < 0.001), education (9.8 ± 4.7 vs 10.4 ± 4.8 years, p = 0.009), CESD score (3.1 ± 1.6 vs 2.9 ± 1.6, p = 0.003), diabetes mellitus (22.1% vs 17.5%, p < 0.04), congestive heart failure (9.3% vs 3.7%, p < 0.001), arrhythmia (23.4% vs 18.2%, p = 0.02), peripheral vascular disease (18.3% vs 13.7%, p = 0.03), stroke (18.6% vs 6.4%, p < 0.001), and arthritis (59.0% vs 53.2%, p = 0.04). Hypertension was present in 67.8% of participants with MPS vs 62.9% without MPS (p = 0.07).

We performed separate univariate analyses, comparing participants with MCI+M to those with no MCI and then comparing participants with MCI-M to participants with no MCI. In a univariate logistic regression model (MCI+M vs no MCI, and excluding individuals with MCI-M), odds of MCI+M were 51% higher in participants with MPS compared to those with no MPS (OR = 1.51, 95% CI = 1.09 to 2.09, p = 0.01). In a univariate logistic regression model (MCI-M vs no MCI, and excluding individuals with MCI+M), odds of MCI-M were similar in participants with MPS compared to those with no MPS (OR = 1.05, 95% CI = 0.77 to 1.44, p = 0.74).

When axial bradykinesia, rigidity, and tremor were treated as dichotomous outcomes (present vs absent), rigidity and tremor were present in a higher proportion of participants with MCI+M compared to participants without MCI whereas participants with MCI-M did not differ from participants without MCI (see table 2).

In a multivariate logistic regression model that adjusted for age in years, ethnicity (non-Hispanic white, Hispanic, non-Hispanic African American, other), years of education, CESD score, diabetes mellitus (present vs absent), hypertension (present vs absent), peripheral vascular disease (present vs absent), stroke (present vs absent), and cohort (original 1992 cohort vs 1999 to 2001 cohort), the odds of MCI+M were 45% higher in participants with MPS compared to those with no MPS (OR = 1.45, 95% CI = 1.03 to 2.05, p = 0.03)(table 3). Although we attempted to exclude participants with PD and our prevalence of PD is consistent with that which has been reported previously in northern Manhattan, it is still possible that some of our participants with rest tremor could have evolving PD, which has not declared itself. To examine this possibility, we excluded 12 participants who had clear rest tremor (UPDRS tremor rating = 2), and the odds of MCI+M were 47% higher in participants with MPS compared to those with no MPS (OR = 1.47, 95% CI = 1.04 to 2.07, p = 0.03) in an adjusted logistic regression model. If we excluded these 12 and then further excluded all 33 of the participants whose parkinsonian sign score was in the highest 2% (score >7, i.e., those most likely to have early PD), odds of MCI+M were 49% higher in participants with MPS compared to those with no MPS (OR = 1.49, 95% CI = 1.05 to 2.14, p = 0.03) in an adjusted logistic regression model.

View this table:
  • View inline
  • View popup
  • Download powerpoint

Table 3 Logistic regression models: association of MCI + M vs no MCI (dependent variable) and MPS

Discussion.

The association of MPS with both prevalent and incident dementia has been demonstrated,1,2,4,5 but any possible associations between these signs and milder cognitive problems have not been studied previously. We studied a large cohort of nondemented community-dwelling older people living in Washington Heights-Inwood, northern Manhattan, NY, and found that MPS were associated with amnestic MCI and not MCI without memory loss. Rigidity rather than tremor or bradykinesia was most strongly associated with amnestic MCI.

The association between MPS and MCI suggests that MPS and MCI may share similar pathogeneses; the presence of one increases the odds of having the other. Further strengthening this notion is the observation that MPS are a risk factor for incident dementia4,5 and MCI can be a precursor to dementia as well.27 Whether MPS represent the presence of Alzheimer’s-type pathology, Lewy body pathology, or vascular changes in the basal ganglia or basal ganglia circuitry is not known and deserves further investigation. Our observation that MPS were associated with vascular risk factors (diabetes mellitus, hypertension) and vascular disease (peripheral vascular disease, stroke) as well as evidence that supports an association between vascular risk factors and MCI28,29 suggests that cerebrovascular disease may be contributing to both MPS and MCI.

Rigidity was most strongly associated with MCI. Numerous studies have demonstrated that different mechanisms may underlie the distinct hallmark features of parkinsonism. A factor analysis of signs in PD showed that rest tremor was relatively independent of the other cardinal signs of PD.30 Second, we previously reported different annual rates of worsening for the cardinal signs.31

MPS are associated with mild functional impairment1 while MCI, by definition,24,25 are not associated with functional impairment. This may have made it more difficult to detect an association between MPS and MCI. However, MPS are most strongly associated with difficulty in those functions that involve physical domains (trouble dressing, trouble eating) rather than cognitive domains (trouble recognizing places, trouble remembering things), while individuals with MCI may have difficulty with some functions that involve cognitive domains.32

We found that participants with MCI+M and MCI-M had higher CESD scores than did those with no MCI, indicating that they had more symptoms of depression. Given the impact mood can have on neuropsychological test performance, CESD score was an important confounding variable to consider, and therefore we included it in our multivariate model, finding that MPS was associated with MCI+M independent of any effects of the CESD score (see table 3).

A limitation of these analyses is that they were cross-sectional. Therefore, we were not able to examine whether MPS are a risk factor for MCI. A prospective study, which is planned, will examine whether MPS are a predictor of MCI. In addition, our modified UPDRS did not include the assessment of appendicular bradykinesia so it is possible that we may have underestimated the correlates of MPS. None of the participants with MPS had PD. While it is possible that some of these participants could develop incident PD during follow-up, given the low reported incidence of PD in this age group (0.5 to 2.5 per 1,000 persons per year), the number is expected to be small (i.e., no more than 2.5 PD cases per 1,000 persons followed per year).10 Finally, data from postmortem and imaging studies were not available on our participants; a goal of our planned prospective study is to perform these imaging and postmortem studies in a subsample of our participants. Despite these limitations, the study had several strengths, including the use of a community-based sample, the size of the sample (approximately 2,000 elderly participants), the use of detailed neuropsychological assessments, and the adjustment for depressive symptoms and other potential confounders.

The association between MPS and MCI suggests that MPS and MCI may share similar pathogeneses. Whether MPS represents the presence of Alzheimer’s-type pathology, Lewy bodies, or vascular changes in the basal ganglia is not known and deserves further investigation using postmortem studies.

Footnotes

  • Supported by Federal grants NIH AG07232 and R01 NS42859.

    Received October 7, 2004. Accepted in final form December 1, 2004.

References

  1. 1.↵
    Louis ED, Tang MX, Schupf N, Mayeux R. Functional correlates and prevalence of mild parkinsonian signs in a community population of older people. Arch Neurol 2005 (in press).
  2. 2.
    Louis ED, Luchsinger JA, Tang M-X, Mayeux R. Parkinsonian signs in older people: prevalence and associations with smoking and coffee consumption. Neurology 2003;61:24–28.
    OpenUrlAbstract/FREE Full Text
  3. 3.↵
    Wilson RS, Schneider JA, Beckett LA, Evans DA, Bennett DA. Progression of gait disorder and rigidity and risk of death in older persons. Neurology 2002;58:1815–1819.
    OpenUrlAbstract/FREE Full Text
  4. 4.↵
    Wilson RS, Schneider JA, Bienias JL, Evans DA, Bennett DA. Parkinsonianlike signs and risk of incident Alzheimer’s disease in older persons. Arch Neurol 2003;60:539–544.
    OpenUrlCrossRefPubMed
  5. 5.
    Louis ED, Tang M-X, Mayeux R. Parkinsonian signs in older people in the community: risk of incident dementia. Arch Neurol 2004;61:1273–1276.
    OpenUrlCrossRefPubMed
  6. 6.↵
    Bennett DA, Beckett LA, Murray AM, et al. Prevalence of parkinsonian signs and associated mortality in a community population of older people. N Engl J Med 1996;334:71–76.
    OpenUrlCrossRefPubMed
  7. 7.↵
    Yamanouchi H, Nagura H. Neurological signs and frontal white matter lesions in vascular parkinsonism. A clinciopathologic study. Stroke 1997;28:965–969.
    OpenUrlAbstract/FREE Full Text
  8. 8.↵
    Stern MB. The clinical characteristics of Parkinson’s disease and parkinsonian syndromes: diagnosis and assessment. In: Stern MB, Hurtig HI, eds. The comprehensive management of Parkinson’s disease. New York: PMA Publishing Corp., 1978;34–39.
  9. 9.↵
    de Rijk MC, Rocca WA, Anderson DW, Melcon MO, Breteler MM, Maraganore DM. A population perspective on diagnostic criteria for Parkinson’s disease. Neurology 1997;48:1277–1281.
    OpenUrlAbstract/FREE Full Text
  10. 10.↵
    Mayeux R, Marder K, Cote L, et al. The frequency of idiopathic Parkinson’s disease by age, ethnic group, and sex in northern Manhattan, 1988–1993. Am J Epidemiol 1995;142:820–827.
    OpenUrlAbstract/FREE Full Text
  11. 11.↵
    Goetz CG, Stebbins GT, Chmura TA, Fahn S, Klawans HL, Marsden CD. Teaching tape for the motor section of the Unified Parkinson’s Disease Rating Scale. Mov Disord 1995;10:263–266.
    OpenUrlCrossRefPubMed
  12. 12.↵
    Louis ED, Tang M, Mayeux R. Factor structure of parkinsonian signs in the community-dwelling elderly. Mov Disord 2004;19:268–272.
    OpenUrlCrossRefPubMed
  13. 13.↵
    Stern Y, Andrews H, Pittman J, et al. Diagnosis of dementia in a heterogeneous population: development of a neuropsychological paradigm-based diagnosis of dementia and quantified correction for the effects of education. Arch Neurol 1992;49:453–460.
    OpenUrlCrossRefPubMed
  14. 14.↵
    Buschke H, Fuld PA. Evaluating storage, retention, and retrieval in disordered memory and learning. Neurology 1974;24:1019–1025.
  15. 15.↵
    Benton AL. The Visual Retention Test. New York, NY: The Psychological Corporation, 1955.
  16. 16.↵
    Folstein MF, Folstein SE, McHugh PR. “Mini-mental State”: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975;12:189–198.
    OpenUrlCrossRefPubMed
  17. 17.↵
    Wechsler D. Wechsler Adult Intelligence Scale–Revised. New York, NY: The Psychological Corporation, 1981.
  18. 18.↵
    Mattis S. Mental status examination for organic mental syndrome in the elderly patient. In: Bellak L, Karasu TB, eds. Geriatric psychiatry. New York, NY: Grune & Stratton, 1976;77–121.
  19. 19.↵
    Kaplan E, Goodglass H, Weintraub S. Boston Naming Test. Philadelphia, PA: Lea & Febiger, 1983.
  20. 20.↵
    Benton AL, Hamsher KD. Multilingual Aphasia Examination. Iowa City, IA: University of Iowa, 1976.
  21. 21.↵
    Goodglass H, Kaplan E. The assessment of aphasia and related disorders. 2 ed. Philadelphia, PA: Lea & Febiger, 1983.
  22. 22.↵
    Rosen W. The Rosen Drawing Test. Bronx, NY: Veterans Administration Medical Center, 1981.
  23. 23.↵
    American Psychiatric Association. Diagnostic and statistical manual of mental disorders, revised third edition. Washington, DC: American Psychiatric Association, 1987.
  24. 24.↵
    Petersen R, Smith G, Waring S, Ivnik R, Tangalos E, Kokmen E. Mild cognitive impairment: clinical characterization and outcome. Arch Neurol 1999;56:303–308.
    OpenUrlCrossRefPubMed
  25. 25.
    Petersen RC, Doody R, Kurz A, et al. Current concepts in mild cognitive impairment. Arch Neurol 2001;58:1985–1992.
    OpenUrlCrossRefPubMed
  26. 26.↵
    Andresen EM, Malmgren JA, Carter WB, Patrick DL. Screening for depression in well older adults: evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression Scale). Am J Prev Med 1994;10:77–84.
    OpenUrlPubMed
  27. 27.↵
    Grundman M, Sencakova D, Jack CR Jr., et al. Brain MRI hippocampal volume and prediction of clinical status in a mild cognitive impairment trial. J Molec Neurosci 2002;19:23–27.
    OpenUrlCrossRefPubMed
  28. 28.↵
    Tervo S, Kivipelto M, Hanninen T, et al. Incidence and risk factors for mild cognitive impairment: a population-based three-year follow-up study of cognitively healthy elderly subjects. Dementia Geriatr Cogn Disord 2004;17:196–203.
    OpenUrl
  29. 29.
    DeCarli C. Mild cognitive impairment: prevalence, prognosis, aetiology, and treatment. Lancet Neurol 2003;2:15–21.
  30. 30.↵
    Zetusky WJ, Jankovic J, Pirozzolo FJ. The heterogeneity of Parkinson’s disease: clinical and prognostic implications. Neurology 1985;35:522–526.
    OpenUrlAbstract/FREE Full Text
  31. 31.↵
    Louis ED, Tang MX, Cote L, Alfaro B, Mejia H, Marder K. Progression of extrapyramidal signs in Parkinson’s disease. Arch Neurol 1999;56:334–337.
    OpenUrlCrossRefPubMed
  32. 32.↵
    Griffith HR, Belue K, Sicola A, et al. Impaired financial abilities in mild cognitive impairment: a direct assessment approach. Neurology 2003;60:449–457.
    OpenUrlAbstract/FREE Full Text

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.
    • Footnotes
    • References
  • Figures & Data
  • Info & Disclosures
Advertisement

Related Articles

  • No related articles found.

Topics Discussed

  • All epidemiology
  • Alzheimer's disease
  • Parkinson's disease/Parkinsonism
  • MCI (mild cognitive impairment)

Alert Me

  • Alert me when eletters are published
Neurology: 96 (8)

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