 |
 |

Mild Cognitive Impairment
Clinical Characterization and Outcome
Ronald C. Petersen, PhD, MD;
Glenn E. Smith, PhD;
Stephen C. Waring, DVM, PhD;
Robert J. Ivnik, PhD;
Eric G. Tangalos, MD;
Emre Kokmen, MD
Arch Neurol. 1999;56:303-308.
ABSTRACT
Background Subjects with a mild cognitive impairment (MCI) have a memory impairment beyond that expected for age and education yet are not demented. These subjects are becoming the focus of many prediction studies and early intervention trials.
Objective To characterize clinically subjects with MCI cross-sectionally and longitudinally.
Design A prospective, longitudinal inception cohort.
Setting General community clinic.
Participants A sample of 76 consecutively evaluated subjects with MCI were compared with 234 healthy control subjects and 106 patients with mild Alzheimer disease (AD), all from a community setting as part of the Mayo Clinic Alzheimer's Disease Center/Alzheimer's Disease Patient Registry, Rochester, Minn.
Main Outcome Measures The 3 groups of individuals were compared on demographic factors and measures of cognitive function including the Mini-Mental State Examination, Wechsler Adult Intelligence ScaleRevised, Wechsler Memory ScaleRevised, Dementia Rating Scale, Free and Cued Selective Reminding Test, and Auditory Verbal Learning Test. Clinical classifications of dementia and AD were determined according to the Diagnostic and Statistical Manual of Mental Disorders, Revised Third Edition and the National Institute of Neurological and Communicative Disorders and StrokeAlzheimer's Disease and Related Disorders Association criteria, respectively.
Results The primary distinction between control subjects and subjects with MCI was in the area of memory, while other cognitive functions were comparable. However, when the subjects with MCI were compared with the patients with very mild AD, memory performance was similar, but patients with AD were more impaired in other cognitive domains as well. Longitudinal performance demonstrated that the subjects with MCI declined at a rate greater than that of the controls but less rapidly than the patients with mild AD.
Conclusions Patients who meet the criteria for MCI can be differentiated from healthy control subjects and those with very mild AD. They appear to constitute a clinical entity that can be characterized for treatment interventions.
INTRODUCTION
A GREAT deal of interest has been generated concerning the topic of a boundary or transitional state between normal aging and dementia, or more specifically, Alzheimer disease (AD).1 This condition has received several descriptors including mild cognitive impairment (MCI), incipient dementia, and isolated memory impairment.2-4 Reviews of several studies have indicated that these individuals are at an increased risk for developing AD ranging from 1% to 25% per year.5 The variability in these rates likely reflects differing diagnostic criteria, measurement instruments, and small sample sizes.5
Patients with an MCI are also becoming of interest for treatment trials. The Alzheimer's Disease Cooperative Study, which is a National Institute on Aging consortium of Alzheimer's Disease research groups, is embarking on a multicenter trial of agents intended to alter the progression of patients with MCI to AD.6 Several pharmaceutical companies are initiating large trials on this same group of individuals.
Questions can be raised as to the diagnostic criteria for MCI. Some investigators believe that virtually all these patients with mild disease have AD neuropathologically, and, therefore, this may not be a useful distinction.7 Others6, 8-9 note that while many of these patients progress to AD, not all do, and consequently, the distinction is important.
We have been enrolling patients at the mild end of the cognitive spectrum for more than 10 years as part of a community study on aging and dementia.8, 10 Our recruitment scheme involves screening patients who are being seen by their primary care physicians for periodic general medical evaluations which affords us the opportunity to detect patients before they present to a dementia or memory disorders clinic. This study reports the clinical criteria used to diagnose these patients as well as their neuropsychological characterization, differentiation from controls and patients with mild AD, and the longitudinal course of the subjects with MCI. As such, these data provide a background for the clinician to use in evaluating these individuals in practice.
SUBJECTS AND METHODS
The subjects for this study were recruited through the Mayo Alzheimer's Disease Center/Alzheimer's Disease Patient Registry (ADC/ADPR) using a standardized clinical protocol.8-12 The patients were derived from 2 sources: community patients in Rochester, Minn, and regional patients referred to the ADC. The community patients were recruited through the Division of Community Internal Medicine of the Mayo Clinic from Rochester residents who were receiving their general medical care at the Mayo Clinic. If during the course of their medical evaluation the patients expressed concern about their cognitive function, the patients' families expressed a concern about the patients' cognition, or the examining physician detected a cognitive change in the patients, the patient was then referred to the ADC/ADPR staff. The regional patients were derived from individuals who had come to the Mayo ADC for an evaluation of cognitive difficulties. These individuals were either referred by their personal physicians, family members, or by the patients themselves.
Patients from both the community and regional sources received an identical evaluation. On referral, the patients were seen by a behavioral neurologist who obtained a medical history from the patient and corroborating sources, performed the Short Test of Mental Status,13-14 Hachinski Ischemic Scale,15 and a neurologic examination. Study personnel obtained other data including the Record of Independent Living,16 Geriatric Depression Scale,17 and additional family history information. Laboratory studies were performed, including a chemistry group, complete blood cell count, sedimentation rate, vitamin B12 and folic acid levels, sensitive thyroid-stimulating hormone level, and syphilis serologic testing. All patients received a head imaging study (computed tomography or magnetic resonance imaging). Additional studies including a cerebrospinal fluid analysis, electroencephalogram, and a single-photon emission computed tomographic scan were performed as the clinical situation indicated.
Two sessions of neuropsychological testing were completed on all subjects. The first set of tests was used for diagnostic purposes and included the Wechsler Adult Intelligence ScaleRevised, Wechsler Memory ScaleRevised, Auditory Verbal Learning Test, and Wide-Range Achievement Test-III.18 The second set of tests was used for research purposes and included the Mini-Mental State Examination (MMSE),19 Dementia Rating Scale (DRS),20 Free and Cued Selective Reminding Test,21-23 Boston Naming Test,24 Controlled Oral Word Association Test,25 and category fluency procedures.26
At the completion of this evaluation a consensus committee meeting was held involving the behavioral neurologists, geriatrician, neuropsychologists, nurses, and other study personnel who had evaluated the patients. Diagnoses were made for dementia and AD according to the Diagnostic and Statistical Manual of Mental Disorders, Revised Third Edition,27 and the National Institute of Neurological and Communicative Disorders and StrokeAlzheimer's Disease and Related Disorders of Association criteria, respectively.28 The diagnosis of MCI was made if the patient met the following criteria: (1) memory complaint, (2) normal activities of daily living, (3) normal general cognitive function, (4) abnormal memory for age, and (5) not demented.8 Several studies3, 8-9 characterizing the outcome of patients with an MCI using these criteria have been reported. At the conclusion of the consensus conference, after the diagnosis had been made, the patients were staged on the Clinical Dementia Rating scale (CDR)29-30 and the Global Deterioration Scale.31
Control subjects were sought from the community population of individuals receiving general medical examinations at the Mayo Clinic.32-34 They underwent a similar evaluation as the patients described earlier including the neurologic examination and neuropsychological testing battery. They qualified as controls if, in the opinion of their clinician, they were functioning normally in the community and did not have a cognitive impairment. In addition, they could not have any active neurologic or psychiatric illnesses and could not be taking psychoactive medications. They could have comorbid illnesses such as hypertension and coronary artery disease, and they could be taking medications for these disorders. However, in the opinion of their physicians, these illnesses or their treatments did not interfere with the patients' cognitive function. These patients were also reviewed at the consensus conference and CDR scale and Global Deterioration Scale ratings were completed.
Patients and control subjects were reevaluated every 12 to 18 months and received an abbreviated neuropsychological battery at that visit. Their performance was reviewed at the consensus conference and the diagnoses were adjusted accordingly, if necessary. They were also reassessed on the CDR scale and the Global Deterioration Scale. The Mayo ADC/ADPR projects have been approved by the Mayo Institutional Review Board.
RESULTS
We have enrolled 76 subjects with the diagnosis of MCI over the last 11 years. The demographic features of these subjects as well as groups of control subjects and patients with very mild AD enrolled over the same interval grouped by CDR ratings are shown in Table 1 for comparison purposes. Table 1 also shows the performance of the 4 groups with respect to a sampling of cognitive measures. As would be consistent with the selection criteria, the subjects with MCI performed slightly more poorly on these measures than the control subjects, but were superior to the patients with AD. Statistical comparisons in Table 1 were performed using a 1-way analysis of variance with each cognitive measure as the dependent variable comparing the 4 groups of subjects. The relevant pairwise comparisons were made between adjacent groups, eg, control vs MCI and MCI vs AD (CDR 0.5) and AD (CDR 0.5) vs AD (CDR 1), using Tukey honestly significant difference with a level of significance being set at the .01 level due to the large number of comparisons performed.
|
|
|
|
Comparison of 4 Clinical Groups on Various Cognitive Scales*
|
|
|
As one measure of disease severity, the CDR sum of box scores was calculated.29-30 The CDR sum of the box scores was determined by totaling the individual box scores for a given patient (range, 0-18). For example, a control patient may have had 0 in each of the 6 boxes for the various categories. A typical patient with AD and a summary CDR score of 1 might have had the sum of the 6 having scored 1 in each of the 6 individual boxes. This statistic yielded an approximate index of severity on the CDR as well as involvement of activities of daily living.
On measures of general cognition such as the Wechsler Adult Intelligence ScaleRevised, the controls and subjects with MCI did not differ significantly. On the screening measures of general cognition, MMSE and DRS, there were small differences largely due to the memory component of those measures. In general, while the subjects with MCI did not perform as well as the control subjects, they still functioned in the normal range. However, the subjects with MCI differed from even the CDR 0.5 patients with AD on virtually all measures of general cognitive function (Figure 1).
|
|
|
|
Figure 1. Relative performance among 4 groups: controls, subjects with mild cognitive impairment (MCI) (Clinical Dementia Rating [CDR] 0.5), and patients with Alzheimer disease (AD) (CDR 0.5; CDR 1), on measures of global cognitive functioning, Mini-Mental State Examination (MMSE), and full-scale IQ compared with performance on measures of delayed recall for verbal materials (Logical Memory II) and nonverbal materials (Visual Reproductions II).
|
|
|
Table 1 displays memory data among the 4 groups. Again, as would be expected from the selection criteria, the subjects with MCI were significantly impaired on all memory measures relative to control subjects and appeared similar to the patients with AD. These results were seen for virtually all measures of learning and delayed recall using word lists, paragraphs, and nonverbal materials. The differences were less dramatic between the subjects with MCI and the patients with AD; rather, the other areas of cognition and functional measures differentiated these groups.
The Boston Naming Test results paralleled those of the memory domain. These findings can be interpreted as indicating that either the linguistic function of naming is impaired early in the disease process, or that this naming test actually assesses semantic memory and therefore is consistent with the other memory data.
Figure 2 demonstrates the outcome of the subjects with MCI up to approximately 4 years of follow-up. The conversion rate was 12% per year for the 4 years. These rates are in contrast to conversion rates for the healthy control subjects in our community sample. We have enrolled and followed up more than 500 control subjects in the 10 years of the study, and these subjects tend to convert to MCI/AD at a rate of approximately 1% to 2% per year.
|
|
|
|
Figure 2. Annual rates of conversion from mild cognitive impairment (MCI) to dementia over 48 months.
|
|
|
Figure 3 shows the mean annualized rate of change for all subjects in the comparison groups on the MMSE, DRS, and Global Deterioration Scale. On the MMSE, the subjects with MCI behaved more like control subjects than the patients with AD. Similarly, the subjects with MCI showed a slower rate of change on the DRS and Global Deterioration Scale with respect to annualized differences than did the patients with AD.
|
|
|
|
Figure 3. Annual rates of change on 3 measures of global function for controls, subjects with mild cognitive impairment (MCI) (Clinical Dementia Rating [CDR] 0.5), and patients with Alzheimer disease (AD) (CDR 0.5; CDR 1). MMSE indicates Mini-Mental State Examination.
|
|
|
COMMENT
This study was designed to quantitatively characterize and describe the clinical course of patients diagnosed as having MCI using criteria that are similar to those being adopted by several multicenter treatment trials. While the criteria for MCI can be accepted by investigators in principle, the operationalization of these criteria can be challenging. As such, these results provide cross-sectional and longitudinal data with respect to these criteria.
As expected, the subjects with MCI performed more similarly to the control subjects than the patients with AD on measures of general cognition and other nonmemory indexes. While there may have been mild impairments in some of the domains of cognition, eg, full-scale IQ, the actual raw score difference was sufficiently small, eg, a full-scale IQ of 101.8 vs 98.0 for controls and subjects with MCI, respectively, to not be clinically meaningful. That is, it is doubtful that most clinicians would say that a subject with a full-scale IQ of 98 was demented on the basis of this measure. The subjects with MCI performed more poorly than the control subjects on the Controlled Oral Word Association Test, but once again, the performance of the subjects with MCI was in the normal range for age based on our community studies.35 This is not to say, however, that these subjects may not have incipient clinical AD; rather, most clinicians would be reluctant to make the diagnosis of AD at this stage. In addition, it is not likely that these subjects have a significant functional deficit since their mean CDR sum of box scores was 1.5 with most of the decline being accounted for by memory deficits. However, the patients with very mild AD (CDR 0.5) had a mean CDR sum of the box score of 3.3 that reflected these subjects' impairment in functional domains.
From a memory perspective, the subjects with MCI appeared more like the patients with AD than the control subjects. Again, this is not surprising considering the selection criteria, but these data lend quantitation to these criteria. In fact, if the clinician sees a patient with impaired delayed recall performance or difficulty benefiting from semantic cues during learning or recall in the setting of relatively preserved general cognition, the diagnosis of MCI should be entertained.
Most of the subjects received the diagnosis of MCI at entry into the study, while a few of the subjects had converted from a prior normal control status. The documentation of a memory decline was largely historical and based on the interview with the subject. With respect to the quality of the memory complaints, we asked for changes in memory function with respect to items involving recent memory. We prefer corroboration by an informant who knows the patient well. Previous work36 has indicated that while individuals' subjective impressions of their memory function correlate best with indexes of depression, informants' assessments correlate well with objective performance.
Since the memory decline was subjective, it was necessary to corroborate memory performance as being abnormal (generally 1.5 SD below age- and education-matched control subjects) while general cognitive (Verbal IQ, Performance IQ) was within 0.5 SD of appropriate controls. The value of availability of an objectively documented decline in performance is helpful in detecting those subjects who are predisposed to develop AD.37
The clinical course of these subjects is important to describe. Individuals with MCI appear to be at an increased risk of developing AD at the rate of 10% to 12% per year. As Dawe et al5 have indicated, there is variability in the literature largely due to different clinical criteria, neuropsychological measures used, and small numbers of subjects. However, several recent studies1, 8, 38-39 using somewhat similar criteria, neuropsychological measures, and larger subject pools have demonstrated rates that are consistent with those reported herein.
Our previous work demonstrated that apolipoprotein E 4 carrier status and features of memory function may predict who is likely to progress to AD more rapidly.3, 8, 12, 38, 40 Magnetic resonance imaging volumetric measurements of the hippocampal formation may also be useful.41
There are 2 issues with respect to the classification of MCI and CDR 0.5 that need to be clarified. The first issue pertains to potential contamination of the MCI diagnosis with healthy individuals. As described earlier, it is possible that some subjects with MCI may have had long-standing poor memory function that may not progress. While the proportion of the total group of subjects with MCI who constitute long-standing poor performers is small, without longitudinal objective data, some of these individuals could be classified as MCI.
The other issue concerns the heterogeneity of the classification of a CDR score of 0.5. As Figure 1 demonstrates, some subjects with the classification of a CDR score 0.5 can be diagnosed as having MCI, while others may be designated as having AD. Essentially, those with a CDR score of 0.5 who have MCI have a significant memory impairment, but their other cognitive functions and activities of daily living are only slightly abnormal. Generally speaking, these deficits are of insufficient magnitude to constitute the diagnosis of AD by most clinicians. Those with a CDR score of 0.5 who qualify for the diagnosis of AD are more likely to be impaired in other areas of cognition ( 1.0 SD below healthy subjects on Verbal IQ, Performance IQ, MMSE, and DRS) and are functionally impaired (CDR sum of boxes, Global Deterioration Scale). These individuals meet the criteria for very mild AD and are distinguishable from the subjects with MCI.
All the classifications discussed are clinical. While the diagnoses are supported by neuropsychological data, the ultimate judgment is that of a clinician. Most clinicians would be uncomfortable at classifying subjects with MCI as having AD based on the criteria described.
The rates of change of subjects with MCI are different from control subjects and patients with AD. It is noteworthy that the control subjects improved from baseline to first follow-up on the full-scale IQ, which is a documented phenomenon.42 This makes the decline of the MCI group meaningful, albeit small. These subjects change on the global instruments more rapidly than control subjects but not as rapidly as the clinically diagnosed patients with AD. This could reflect several factors. It is possible that the measuring instruments are not linear and are less sensitive to changes in the more mild states. It is also possible that the MCI group is "contaminated" with essentially healthy subjects who are not going to progress to AD. This difference can also be used to argue that not all subjects with MCI have AD at this point in time.
As is apparent, there are many interesting questions surrounding subjects with MCI. This study was designed to lend quantitative characterization to the clinical criteria for MCI that are being used in several multicenter trials. It also documents the clinical course of these subjects over the years with respect to their changes on standard instruments and their diagnostic outcomes. These results demonstrated that these subjects are at increased risk of progressing to AD and are useful to characterize for both theoretical and practical purposes.
AUTHOR INFORMATION
Accepted for publication October 7, 1998.
This study was supported by grants AG06786 and AG08031 from the National Institute on Aging, Bethesda, Md.
We thank Ruth Cha, MS, for statistical assistance and Jackie Evans for secretarial expertise. We also thank the staff of the Mayo Alzheimer's Disease Center and the Mayo Alzheimer's Disease Patient Registry, Rochester, Minn, for evaluation and care of patients.
Reprints: Ronald C. Petersen, PhD, MD, Department of Neurology, Mayo Clinic, 200 First St SW, Rochester, MN 55905.
From the Departments of Neurology (Drs Petersen and Kokmen), Health Sciences Research (Drs Petersen and Waring), and Psychiatry and Psychology (Drs Smith and Ivnik), and the Division of Community Internal Medicine (Dr Tangalos), Mayo Clinic, Rochester, Minn.
REFERENCES
1. Petersen RC. Normal aging, mild cognitive impairment, and early Alzheimer's disease. Neurologist. 1995;1:326-344.
WEB OF SCIENCE
2. Flicker C, Ferris SH, Reisberg B. Mild cognitive impairment in the elderly: predictors of dementia. Neurology. 1991;41:1006-1009.
FREE FULL TEXT
3. Tierney MC, Szalai JP, Snow WG, et al. A prospective study of the clinical utility of ApoE genotype in the prediction of outcome in patients with memory impairment. Neurology. 1996;46:149-154.
FREE FULL TEXT
4. Minoshima S, Giordani B, Berent S, Frey K, Foster N, Kuhl D. Metabolic reduction in the posterior cingulate cortex in very early Alzheimer's disease. Ann Neurol. 1997;42:85-94.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
5. Dawe B, Procter A, Philpot M. Concepts of mild memory impairment in the elderly and their relationship to dementia: a review. Int J Geriatr Psychiatry. 1992;7:473-479.
6. Grundman M, Petersen R, Morris J, et al. Rate of dementia of the Alzheimer type (DAT) in subjects with mild cognitive impairment [abstract]. Neurology. 1996;46:A403.
7. Morris JC, McKeel DW, Storandt M, et al. Very mild Alzheimer's disease: informant based clinical, psychometric, and pathologic distinction from normal aging. Neurology. 1991;41:469-478.
FREE FULL TEXT
8. Petersen RC, Smith GE, Ivnik RJ, et al. Apolipoprotein E status as a predictor of the development of Alzheimer's disease in memory-impaired individuals. JAMA. 1995;273:1274-1278.
FREE FULL TEXT
9. Petersen RC, Waring SC, Smith GE, Tangalos EG, Thibodeau SN. Predictive value of APOE genotyping in incipient Alzheimer's disease. Ann N Y Acad Sci. 1996;802:58-69.
WEB OF SCIENCE
| PUBMED
10. Petersen RC, Kokmen E, Tangalos E, Ivnik RJ, Kurland LT. Mayo Clinic Alzheimer's Disease Patient Registry. Aging. 1990;2:408-415.
PUBMED
11. Petersen RC, Smith G, Kokmen E, Ivnik RJ, Tangalos EG. Memory function in normal aging. Neurology. 1992;42:396-401.
FREE FULL TEXT
12. Petersen RC, Smith GE, Ivnik RJ, Kokmen E, Tangalos EG. Memory function in very early Alzheimer's disease. Neurology. 1994;44:867-872.
FREE FULL TEXT
13. Kokmen E, Naessens JM, Offord KP. A Short Test of Mental Status: description and preliminary results. Mayo Clin Proc. 1987;62:281-288.
WEB OF SCIENCE
| PUBMED
14. Kokmen E, Smith GE, Petersen RC, Tangalos E, Ivnik RJ. The short test of mental status: correlations with standardized psychometric testing. Arch Neurol. 1991;48:725-728.
FREE FULL TEXT
15. Rosen W, Terry R. Pathological verification of ischemic score differentiation of dementias. Ann Neurol. 1980;7:486-488.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
16. Weintraub S. The record of independent living: an informant-completed measure of activities of daily living and behavior in elderly patients with cognitive impairment. Am J Alzheimer Care Rel Disord. 1986;7:35-39.
17. Sheikh JI, Yesavage JA. Geriatric Depression Scale (GDS): recent evidence and development of a shorter version. In: Brink TL, ed. Clinical Gerontology: A Guide to Assessment and Intervention. Binghamton, NY: Haworth Press Inc; 1986:165-173.
18. Lezak MD. Neuropsychological Assessment, Third Edition. New York, NY: Oxford University Press Inc; 1995.
19. 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.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
20. Mattis S. Dementia Rating Scale: Professional Manual. Odessa, Fla: Psychological Assessment Resources Inc; 1988.
21. Grober E, Buschke H. Genuine memory deficits in dementia. Dev Neuropsychol. 1987;3:13-36.
22. Buschke H. Cued recall in amnesia. J Clin Neurophysiol. 1984;6:433-440.
23. Buschke H. Control of cognitive processing. In: Squire LR, Butters N, eds. Neuropsychology of Memory. New York, NY: Guilford Press; 1984:37-40.
24. Kaplan EF, Goodglass H, Weintraub S. The Boston Naming Test. Boston, Mass: E Kaplan & H Goodglass; 1978.
25. Benton AL, Hamsher K, Varney NR, Spreen O. Contributions to Neuropsychological Assessment. New York, NY: Oxford University Press Inc; 1983.
26. Monsch AU, Bondi MW, Butters N, et al. A comparison of category and letter fluency in Alzheimer's disease and Huntington's disease. Neuropsychology. 1994;8:25-30.
FULL TEXT
27. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Revised Third Edition. Washington, DC: American Psychiatric Association; 1987.
28. McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM. Clinical Diagnosis of Alzheimer's Disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease. Neurology. 1984;34:939-944.
FREE FULL TEXT
29. Morris JC. The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology. 1993;43:2412-2414.
30. Berg L. Clinical Dementia Rating (CDR). Psychopharm Bull. 1988;24:637-639.
WEB OF SCIENCE
| PUBMED
31. Reisberg B, Ferris S, deLeon MJ, Crook T. The Global Deterioration Scale for assessment of primary degenerative dementia. Am J Psychiatry. 1982;130:1136-1139.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
32. Ivnik RJ, Malec JF, Smith GE, et al. Mayo's Older Americans Normative Studies: WAIS-R norms for ages 56 to 97. Clin Neuropsychol. 1992;6(suppl):1-30.
33. Ivnik RJ, Malec JF, Smith GE, et al. Mayo's Older Americans Normative Studies: WMS-R norms for ages 56 to 94. Clin Neuropsychol. 1992;6(suppl):49-82.
34. Ivnik RJ, Smith GE, Tangalos EG, Petersen RC, Kokmen E, Kurland LT. Wechsler Memory Scale (WMS): I.Q. dependent norms for persons ages 65-97 years: Psychological Assessment: J Consult Clin Psychol. 1991;3:156-161.
35. Ivnik RJ, Malec JF, Smith GE, Tangalos EG, Petersen RC. Neuropsychological tests' norms above age 55: COWAT, BNT, MAE Token, WRAT-R Reading, AMNART, STROOP, TMT and JLO. Clin Neuropsychol. 1996;10:262-278.
FULL TEXT
|
WEB OF SCIENCE
36. McGlone J, Gupta S, Humphrey D, Oppenheimer S, Mirsen T, Evans DR. Screening for early dementia using memory complaints from patients and relatives. Arch Neurol. 1990;47:1189-1193.
FREE FULL TEXT
37. Morris JC, Storandt M, McKeel DW, et al. Cerebral amyloid deposition and diffuse plaques in "normal" aging. Neurology. 1996;46:707-719.
FREE FULL TEXT
38. Tierney MC, Szalai JP, Snow WG, et al. Prediction of probable Alzheimer's disease in memory-impaired patients: a prospective longitudinal study. Neurology. 1996;46:661-665.
FREE FULL TEXT
39. Bowen J, Teri L, Kukull W, McCormick W, McCurry S, Larson E. Progression to dementia in patients with isolated memory loss. Lancet. 1997;349:763-765.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
40. Petersen RC, Smith GE, Kokmen E, Ivnik RJ, Tangalos EG. Memory function in normal aging. Neurology. 1992;42:396-401.
41. Jack CR, Petersen RC, Xu Y-C, et al. Medial temporal atrophy on MRI in normal aging and very mild Alzheimer's disease. Neurology. 1997;49:786-794.
FREE FULL TEXT
42. Lemsky C, Chulune G, Ferman TJ, Ivnik RJ. Detecting clinically relevant memory changes in elderly patients. J Int Neuropsychol Soc. 1998;4:53.
CiteULike Connotea Delicious Digg Facebook Reddit Technorati Twitter
What's this?
RELATED ARTICLE
Archives of Neurology Reader's Choice: Continuing Medical Education
Arch Neurol. 1999;56(3):370-371.
FULL TEXT
THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES
 |
Subcortical white matter hyperintensities within the cholinergic pathways of Parkinson's disease patients according to cognitive status
Shin et al.
J. Neurol. Neurosurg. Psychiatry 2012;83:315-321.
ABSTRACT
| FULL TEXT
Revised Criteria for Mild Cognitive Impairment May Compromise the Diagnosis of Alzheimer Disease Dementia
Morris
Arch Neurol 2012;0:archneurol.2011.3152v1-9.
ABSTRACT
| FULL TEXT
Nonpharmacological Therapies for Behavioral and Cognitive Symptoms of Mild Cognitive Impairment
Hahn and Andel
J Aging Health 2011;23:1223-1245.
ABSTRACT
The relation of dietary choline to cognitive performance and white-matter hyperintensity in the Framingham Offspring Cohort1,2
Poly et al.
Am J Clin Nutr 2011;94:1584-1591.
ABSTRACT
| FULL TEXT
Evaluation of apparent diffusion coefficient mappings in amnestic mild cognitive impairment using an image analysis software brain search
Zhang et al.
Acta Radiol 2011;52:1147-1154.
ABSTRACT
| FULL TEXT
Incidence of dementia in oldest-old with amnestic MCI and other cognitive impairments
Peltz et al.
Neurology 2011;77:1906-1912.
ABSTRACT
| FULL TEXT
Comparison of Informant Reports and Neuropsychological Assessment in Mild Cognitive Impairment
Abbate et al.
AM J ALZHEIMERS DIS OTHER DEMEN 2011;26:528-534.
ABSTRACT
Family Triad Perceptions of Mild Cognitive Impairment
Roberto et al.
J Gerontol B Psychol Sci Soc Sci 2011;66B:756-768.
ABSTRACT
| FULL TEXT
Brain Amyloid Imaging
Rowe and Villemagne
JNM 2011;52:1733-1740.
ABSTRACT
| FULL TEXT
Gait Speed, Body Composition, and Dementia. The EPIDOS-Toulouse Cohort
Abellan van Kan et al.
J Gerontol A Biol Sci Med Sci 2011;0:glr177v1-glr177.
ABSTRACT
| FULL TEXT
Joint model with latent state for longitudinal and multistate data
Dantan et al.
Biostatistics 2011;12:723-736.
ABSTRACT
| FULL TEXT
Harm Avoidance and Risk of Alzheimer's Disease
Wilson et al.
Psychosom. Med. 2011;73:690-696.
ABSTRACT
| FULL TEXT
Magnetic resonance spectroscopy in the prediction of early conversion from amnestic mild cognitive impairment to dementia: a prospective cohort study
Modrego et al.
BMJ Open 2011;1:e000007-e000007.
ABSTRACT
| FULL TEXT
Anemia Associated With Depressive Symptoms in Mild Cognitive Impairment With Severe White Matter Hyperintensities
Son et al.
J Geriatr Psychiatry Neurol 2011;24:161-167.
ABSTRACT
Midlife Motivational Abilities Predict Apathy and Depression in Alzheimer Disease: The Aging, Demographics, and Memory Study
Mortby et al.
J Geriatr Psychiatry Neurol 2011;24:151-160.
ABSTRACT
Brain Glutamate Levels Are Decreased in Alzheimer's Disease: A Magnetic Resonance Spectroscopy Study
Fayed et al.
AM J ALZHEIMERS DIS OTHER DEMEN 2011;26:450-456.
ABSTRACT
A Novel Technology to Screen for Cognitive Impairment in the Elderly
Wright et al.
AM J ALZHEIMERS DIS OTHER DEMEN 2011;26:484-491.
ABSTRACT
Vascular Contributions to Cognitive Impairment and Dementia: A Statement for Healthcare Professionals From the American Heart Association/American Stroke Association
Gorelick et al.
Stroke 2011;42:2672-2713.
ABSTRACT
| FULL TEXT
Neuropathological alterations in Alzheimer disease.
Serrano-Pozo et al.
Cold Spring Harb Perspect Med 2011;1:a006189-a006189.
ABSTRACT
| FULL TEXT
Republished review: Cataract and cognitive impairment: a review of the literature
Jefferis et al.
Postgrad. Med. J. 2011;87:636-642.
ABSTRACT
| FULL TEXT
Sleep-Disordered Breathing, Hypoxia, and Risk of Mild Cognitive Impairment and Dementia in Older Women
Yaffe et al.
JAMA 2011;306:613-619.
ABSTRACT
| FULL TEXT
Mattis Dementia Rating Scale 2: Screening for MCI and Dementia
Matteau et al.
AM J ALZHEIMERS DIS OTHER DEMEN 2011;26:389-398.
ABSTRACT
A randomized double-blind study comparing 25 and 50 mg TC-1734 (AZD3480) with placebo, in older subjects with age-associated memory impairment
Dunbar et al.
J Psychopharmacol 2011;25:1020-1029.
ABSTRACT
| FULL TEXT
Amyloid Imaging with 18F-Florbetaben in Alzheimer Disease and Other Dementias
Villemagne et al.
JNM 2011;52:1210-1217.
ABSTRACT
| FULL TEXT
Mild cognitive impairment and dementia in primary care: the value of medical history
Olazaran et al.
Fam Pract 2011;28:385-392.
ABSTRACT
| FULL TEXT
Associations Between Physical Performance and Executive Function in Older Adults With Mild Cognitive Impairment: Gait Speed and the Timed "Up & Go" Test
McGough et al.
ptjournal 2011;91:1198-1207.
ABSTRACT
| FULL TEXT
Prevalence of dementia in African-Caribbean compared with UK-born White older people: two-stage cross-sectional study
Adelman et al.
Br. J. Psychiatry 2011;199:119-125.
ABSTRACT
| FULL TEXT
Diffusion tensor imaging and cognitive function in older adults with no dementia
Kantarci et al.
Neurology 2011;77:26-34.
ABSTRACT
| FULL TEXT
Cerebral microhemorrhage and brain {beta}-amyloid in aging and Alzheimer disease
Yates et al.
Neurology 2011;77:48-54.
ABSTRACT
| FULL TEXT
Precuneus amyloid burden is associated with reduced cholinergic activity in Alzheimer disease
Ikonomovic et al.
Neurology 2011;77:39-47.
ABSTRACT
| FULL TEXT
The symptom of low mood in the prodromal stage of mild cognitive impairment and dementia: a cohort study of a community dwelling elderly population
Caracciolo et al.
J. Neurol. Neurosurg. Psychiatry 2011;82:788-793.
ABSTRACT
| FULL TEXT
Occurrence of medical co-morbidity in mild cognitive impairment: implications for generalisation of MCI research
Stephan et al.
Age Ageing 2011;40:501-507.
ABSTRACT
| FULL TEXT
Clinical Relevance of Improved Microbleed Detection by Susceptibility-Weighted Magnetic Resonance Imaging
Goos et al.
Stroke 2011;42:1894-1900.
ABSTRACT
| FULL TEXT
Accumulated and Differential Effects of Life Events on Cognitive Decline in Older Persons: Depending on Depression, Baseline Cognition, or ApoE {varepsilon}4 Status?
Comijs et al.
J Gerontol B Psychol Sci Soc Sci 2011;66B:i111-i120.
ABSTRACT
| FULL TEXT
Dual-Task Performance in Alzheimer's Disease, Mild Cognitive Impairment, and Normal Ageing
Foley et al.
Arch Clin Neuropsychol 2011;26:340-348.
ABSTRACT
| FULL TEXT
Outcomes of Mild Cognitive Impairment by Definition: A Population Study
Ganguli et al.
Arch Neurol 2011;68:761-767.
ABSTRACT
| FULL TEXT
Functional Impairment in Elderly Patients With Mild Cognitive Impairment and Mild Alzheimer Disease
Brown et al.
Arch Gen Psychiatry 2011;68:617-626.
ABSTRACT
| FULL TEXT
Training-related brain plasticity in subjects at risk of developing Alzheimer's disease
Belleville et al.
Brain 2011;134:1623-1634.
ABSTRACT
| FULL TEXT
Disease-modifying properties of long-term lithium treatment for amnestic mild cognitive impairment: randomised controlled trial
Forlenza et al.
Br. J. Psychiatry 2011;198:351-356.
ABSTRACT
| FULL TEXT
Anesthesiology Must Play a Greater Role in Patients with Alzheimer's Disease
Silbert et al.
Anesth. Analg. 2011;112:1242-1245.
FULL TEXT
Vascular risk factors promote conversion from mild cognitive impairment to Alzheimer disease
Li et al.
Neurology 2011;76:1485-1491.
ABSTRACT
| FULL TEXT
Unawareness of Olfactory Dysfunction and its Association with Cognitive Functioning in Middle Aged and Old Adults
Wehling et al.
Arch Clin Neuropsychol 2011;0:acr019v1-acr019.
ABSTRACT
| FULL TEXT
Plasma apolipoprotein E and Alzheimer disease risk: The AIBL study of aging
Gupta et al.
Neurology 2011;76:1091-1098.
ABSTRACT
| FULL TEXT
Validity of the Montreal Cognitive Assessment (MoCA) as a Screening Test for Mild Cognitive Impairment (MCI) in a Cardiovascular Population
McLennan et al.
J Geriatr Psychiatry Neurol 2011;24:33-38.
ABSTRACT
Apolipoprotein E and Gray Matter Volume Loss in Patients with Mild Cognitive Impairment and Alzheimer Disease
Spampinato et al.
Radiology 2011;258:843-852.
ABSTRACT
| FULL TEXT
Including Persistency of Impairment in Mild Cognitive Impairment Classification Enhances Prediction of 5-Year Decline
Vandermorris et al.
Arch Clin Neuropsychol 2011;26:26-37.
ABSTRACT
| FULL TEXT
APOE {epsilon}4 increases the risk of progression from amnestic mild cognitive impairment to Alzheimer's disease among ethnic Chinese in Taiwan
Wang et al.
J. Neurol. Neurosurg. Psychiatry 2011;82:165-169.
ABSTRACT
| FULL TEXT
Hearing Loss and Incident Dementia
Lin et al.
Arch Neurol 2011;68:214-220.
ABSTRACT
| FULL TEXT
Report of the task force on designing clinical trials in early (predementia) AD
Aisen et al.
Neurology 2011;76:280-286.
ABSTRACT
| FULL TEXT
The Impact of Mild Cognitive Impairment on Decision Making in Two Gambling Tasks
Zamarian et al.
J Gerontol B Psychol Sci Soc Sci 2011;66B:23-31.
ABSTRACT
| FULL TEXT
Cataract and cognitive impairment: a review of the literature
Jefferis et al.
Br J Ophthalmol 2011;95:17-23.
ABSTRACT
| FULL TEXT
Association of Higher Levels of High-Density Lipoprotein Cholesterol in Elderly Individuals and Lower Risk of Late-Onset Alzheimer Disease
Reitz et al.
Arch Neurol 2010;67:1491-1497.
ABSTRACT
| FULL TEXT
Patterns of Cognitive Decline, Conversion Rates, and Predictive Validity for 3 Models of MCI
Ritchie and Tuokko
AM J ALZHEIMERS DIS OTHER DEMEN 2010;25:592-603.
ABSTRACT
The Generation Effect in Patients With Mild Cognitive Impairment
Gonzalez-Nosti et al.
AM J ALZHEIMERS DIS OTHER DEMEN 2010;25:576-584.
ABSTRACT
Olfactory Performance in AD, aMCI, and Healthy Ageing: A Unirhinal Approach
Bahar-Fuchs et al.
Chem Senses 2010;35:855-862.
ABSTRACT
| FULL TEXT
Brain Structure and Cerebrovascular Risk in Cognitively Impaired Patients: Shanghai Community Brain Health Initiative-Pilot Phase
He et al.
Arch Neurol 2010;67:1231-1237.
ABSTRACT
| FULL TEXT
Mild cognitive impairment in Parkinson disease: A multicenter pooled analysis
Aarsland et al.
Neurology 2010;75:1062-1069.
ABSTRACT
| FULL TEXT
Target-Specific PET Probes for Neurodegenerative Disorders Related to Dementia
Kadir and Nordberg
JNM 2010;51:1418-1430.
ABSTRACT
| FULL TEXT
Pittsburgh Compound B (11C-PIB) and Fluorodeoxyglucose (18 F-FDG) PET in Patients With Alzheimer Disease, Mild Cognitive Impairment, and Healthy Controls
Devanand et al.
J Geriatr Psychiatry Neurol 2010;23:185-198.
ABSTRACT
Mild cognitive impairment in prediagnosed Huntington disease
Duff et al.
Neurology 2010;75:500-507.
ABSTRACT
| FULL TEXT
Mild cognitive impairment in clinical care: A survey of American Academy of Neurology members
Roberts et al.
Neurology 2010;75:425-431.
ABSTRACT
| FULL TEXT
Diagnostic Accuracy of the RBANS in Mild Cognitive Impairment: Limitations on Assessing Milder Impairments
Duff et al.
Arch Clin Neuropsychol 2010;25:429-441.
ABSTRACT
| FULL TEXT
Executive Functions Deficit in Parkinson's Disease With Amnestic Mild Cognitive Impairment
Petrova et al.
AM J ALZHEIMERS DIS OTHER DEMEN 2010;25:455-460.
ABSTRACT
High-molecular-weight {beta}-amyloid oligomers are elevated in cerebrospinal fluid of Alzheimer patients
Fukumoto et al.
FASEB J. 2010;24:2716-2726.
ABSTRACT
| FULL TEXT
Predicting outcome in mild cognitive impairment: 4-year follow-up study
Lonie et al.
Br. J. Psychiatry 2010;197:135-140.
ABSTRACT
| FULL TEXT
Autobiographical Memory Task in Assessing Dementia
Dreyfus et al.
Arch Neurol 2010;67:862-866.
ABSTRACT
| FULL TEXT
Association of Plasma Clusterin Concentration With Severity, Pathology, and Progression in Alzheimer Disease
Thambisetty et al.
Arch Gen Psychiatry 2010;67:739-748.
ABSTRACT
| FULL TEXT
Reduction of Basal Forebrain Cholinergic System Parallels Cognitive Impairment in Patients at High Risk of Developing Alzheimer's Disease
Grothe et al.
Cereb Cortex 2010;20:1685-1695.
ABSTRACT
| FULL TEXT
Incidence of cerebral microbleeds: A longitudinal study in a memory clinic population
Goos et al.
Neurology 2010;74:1954-1960.
ABSTRACT
| FULL TEXT
Diagnostic Accuracy of Percent Retention Scores on RBANS Verbal Memory Subtests for the Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment
Clark et al.
Arch Clin Neuropsychol 2010;25:318-326.
ABSTRACT
| FULL TEXT
Cross-cultural Adaptation, Reliability and Validity of the DAFS-R in a Sample of Brazilian Older Adults
Pereira et al.
Arch Clin Neuropsychol 2010;25:335-343.
ABSTRACT
| FULL TEXT
Validity of the Free and Cued Selective Reminding Test in predicting dementia: The 3C Study
Auriacombe et al.
Neurology 2010;74:1760-1767.
ABSTRACT
| FULL TEXT
Blood-Borne Amyloid-{beta} Dimer Correlates with Clinical Markers of Alzheimer's Disease
Villemagne et al.
J. Neurosci. 2010;30:6315-6322.
ABSTRACT
| FULL TEXT
Two-year outcome of MCI subtypes and aetiologies in the Goteborg MCI study
Nordlund et al.
J. Neurol. Neurosurg. Psychiatry 2010;81:541-546.
ABSTRACT
| FULL TEXT
Initial Experience in Using Continuous Arterial Spin-Labeled MR Imaging for Early Detection of Alzheimer Disease
Raji et al.
Am. J. Neuroradiol. 2010;31:847-855.
ABSTRACT
| FULL TEXT
Association of Anxiety and Depression With Microtubule-Associated Protein 2- and Synaptopodin-Immunolabeled Dendrite and Spine Densities in Hippocampal CA3 of Older Humans
Soetanto et al.
Arch Gen Psychiatry 2010;67:448-457.
ABSTRACT
| FULL TEXT
Controlling Memory Impairment in Elderly Adults Using Virtual Reality Memory Training: A Randomized Controlled Pilot Study
Optale et al.
Neurorehabil Neural Repair 2010;24:348-357.
ABSTRACT
Changes in Mobility Among Older Adults with Psychometrically Defined Mild Cognitive Impairment
O'Connor et al.
J Gerontol B Psychol Sci Soc Sci 2010;65B:306-316.
ABSTRACT
| FULL TEXT
|