Acessibilidade / Reportar erro

Operationalized definition of older adults with high cognitive performance

Definição operacionalizada de idosos com alto desempenho cognitivo

ABSTRACT

Recently, there has been an increasing number of studies on exceptional cognitive aging. Herein, we aim to objectively provide the operationalized characterization of older adults with unusually high memory ability. Some authors have defined them as “SuperAgers”, individuals aged 80 years or older with memory ability similar or superior to middle-aged subjects. On the other hand, the terminology “high-performing older adults” (HPOA) seems to appropriately conceptualize these individuals without exaggeration. A threshold for age is not a reliable criterion, but may be defined as 75 and 80 years of age for developing and developed countries, respectively. We propose that HPOA may exhibit episodic memory test scores equal to or greater than those of individuals aged 50-60 years, according to the validated tables for the respective country. This group must also have global cognition scores within expected average values for age and education. Executive functioning may play a central role in the exceptional memory performance of this group. Further studies are essential to confirm existing findings and may provide important evidence for cognitive aging theory and the neurobiology of dementia.

Key words:
memory; aging; neuropsychology; older adults; youthful cognition

RESUMO

O número de estudos sobre envelhecimento cognitivo acima da média vem crescendo recentemente. Neste trabalho, nosso objetivo é fornecer a caracterização operacionalizada de idosos com capacidade de memória excepcionalmente alta. Certos autores definem-nos “Superidosos”, indivíduos com 80 anos ou mais com habilidade de memória similar a adultos de meia-idade. No entanto, a terminologia “idosos de alto desempenho” parece definir de maneira apropriada esses indivíduos, sem restrição excessiva. Apesar de um limite de idade ser imperfeito, ele pode ser definido como 75 ou 80 anos, em países em desenvolvimento ou desenvolvidos, respectivamente. Nós propomos que os idosos de alto desempenho devam ter escores em testes de memória episódica de indivíduos entre 50 a 60 anos, de acordo com tabelas validadas para o país. Esse grupo também deve ter escores de cognição global dentro da média para idade e educação. O funcionamento executivo pode ter um papel central no desempenho excepcional de memória desse grupo. Mais estudos são essenciais para confirmar a existência desses achados e podem fornecer evidência importante para teoria de envelhecimento cognitivo e a neurobiologia das demências.

Palavras-chave:
memória; envelhecimento; neuropsicologia; idosos; cognição juvenil

Aging is a major risk factor for many neurodegenerative disorders, particularly Alzheimer’s disease. Despite the growing effort in uncovering the underlying pathophysiology of this alarming disease, therapeutic failure has been found to be 99% in all clinical trials.11 Cummings JL, Morstorf T, Zhong K. Alzheimer's disease drug-development pipeline: few candidates, frequent failures. Alzheimers Res Ther. 2014;6(4):37. In this context, a different perspective has emerged recently: the study of healthy older adults.22 Conner K, Sweeney CY, Brown T, Childs L, Rogers S, Gregory T. Practical applications of physical activity for successful cognitive aging. J Am Acad Physician Assist. 2017;30(8):30-5. Cognitive performance is a major determinant of healthy aging. It is well established that cognitive decline leads to overall loss of well-being33 Wilson RS, Boyle PA, Segawa E, Yu L, Begeny CT, Anagnos SE, et al. The influence of cognitive decline on well-being in old age. Psychol Aging. 2013;28(2):304-13. and functioning in late-life.44 Kliegel M, Moor C, Rott C. Cognitive status and development in the oldest old: a longitudinal analysis from the Heidelberg Centenarian Study. Arch Gerontol Geriatr. 2004;39(2):143-56. It is an independent factor of all-cause mortality55 Andersen K, Nybo H, Gaist D, Petersen HC, McGue M, Jeune B, et al. Cognitive Impairment and Mortality among Nonagenarians: The Danish 1905 Cohort Survey. Dement Geriatr Cogn Disord. 2002;13(3):156-63.,66 Takata Y, Ansai T, Soh I, Awano S, Nakamichi I, Akifusa S, et al. Cognitive function and 10 year mortality in an 85 year-old community-dwelling population. Clin Interv Aging. 2014;9:1691-9. with a massive socioeconomic impact for society77 Matthews FE, Brayne C, Lowe J, McKeith I, Wharton SB, Ince P. Epidemiological Pathology of Dementia: Attributable-Risks at Death in the Medical Research Council Cognitive Function and Ageing Study. Gandy S, editor. PLoS Med. 2009;6(11):e1000180. and caregivers.88 Pinquart M, Sörensen S. Differences between caregivers and noncaregivers in psychological health and physical health: A meta-analysis. Psychol Aging. 2003;18(2):250-67. Rowe and Kahn’s definition of successful aging encompasses a variety of aspects of older adults, including cognition and functioning.99 Rowe JW, Kahn RL, Rowe JW, Kahn RL. Successful aging. Gerontologist. 1998;37(4):433.,1010 Rowe JW, Kahn RL. Human Aging: Usual and Successful. Source Sci New Ser. 1987;237(4811):143-9. A more recent and specific terminology, in relation to cognition, “successful cognitive aging” was proposed by Depp.1111 Depp CA, Harmell A, Vahia IV. Successful Cognitive Aging. Curr Top Behav Neurosci. 2012;10:35-50. Many cognitive aging theories, such as the concept of cognitive reserve1212 Stern Y. Cognitive reserve. Neuropsychologia. 2009;47(10):2015-28. and brain maintenance,1313 Nyberg L, Lövdén M, Riklund K, Lindenberger U, Bäckman L. Memory aging and brain maintenance. Trends Cogn Sci. 2012;16(5):292-305. have emerged in order to explain why some individuals suffer from age-related decline faster than others. Usually, this theoretical model of aging is applicable to high-performing elderly, whose cognitive abilities appear similar to younger individuals (Figure 1).

Figure 1
Hypothetical models for different cognitive trajectories of aging.

Notably, these older adults exhibit similar features to middle-aged individuals.1616 Harrison TM, Weintraub S, Mesulam M-MM-M, Rogalski E. Superior memory and higher cortical volumes in unusually successful cognitive aging. J Int Neuropsychol Soc. 2012;18(6):1081-5. Instead of losing cognitive performance, they seem to be subjected to the underlying mechanisms that minimize the effect of aging, as proposed by the theory of brain maintenance.1313 Nyberg L, Lövdén M, Riklund K, Lindenberger U, Bäckman L. Memory aging and brain maintenance. Trends Cogn Sci. 2012;16(5):292-305.,1717 Gefen T, Peterson M, Papastefan ST, Martersteck A, Whitney K, Rademaker A, et al. Morphometric and histologic substrates of cingulate integrity in elders with exceptional memory capacity. J Neurosci. 2015;35(4):1781-91. Ultimately, this group presents cognitive maintenance as a major characteristic, which consequently leads to independence and well-being. However, there is a lack of consensus in this field and authors have different opinions on defining and conceptualizing individuals with an exceptional cognitive aging trajectory.1313 Nyberg L, Lövdén M, Riklund K, Lindenberger U, Bäckman L. Memory aging and brain maintenance. Trends Cogn Sci. 2012;16(5):292-305.

14 Depp C, Vahia I V, Jeste D. Successful Aging: Focus on Cognitive and Emotional Health. Annu Rev Clin Psychol. 2010;6(1):527-50.
-1515 Davis SW, Dennis NA, Daselaar SM, Fleck MS, Cabeza R. Que PASA? The Posterior-Anterior Shift in Aging. Cereb Cortex. 2008;18(5):1201-9. Inadequate inclusion criteria may possibly bias the external validity of some studies, such as the selection of middle-aged and older adults in the same group.1818 Borelli WV, Schilling LP, Radaelli G, Ferreira LB, Pisani L, Portuguez MW, et al. Neurobiological findings associated with high cognitive performance in older adults: a systematic review. Int Psychogeriatr. 2018:1-13 Cognitive assessment is also an issue, as different studies were performed using the same terminology but different cognitive tests.1919 Cabeza R, Anderson ND, Locantore JK, McIntosh AR. Aging Gracefully: Compensatory Brain Activity in High-Performing Older Adults. Neuroimage. 2002;17(3):1394-402.

20 Duarte A, Ranganath C, Trujillo C, Knight RT. Intact recollection memory in high-performing older adults: ERP and behavioral evidence. J Cogn Neurosci. 2006;18(1):33-47.
-2121 Abbassi E, Joanette Y. The time course of access to semantic information in high-performing older adults: Behavioral evidence for the hemispheric asymmetry reduction in older individuals. Aging Neuropsychol Cogn. 2011;18(4):452-70. As there is a growing interest in the successful cognitive aging trajectory, these biases may profoundly impact the study of the cognitive aging process and its mechanisms of cognitive maintenance.

In this setting, the aim of the present study was to propose an evidence-based opinion of an operationalized definition of individuals who achieve successful cognitive aging and to determine the inclusion criteria for this group, particularly in developing countries.

TERMINOLOGY

As described by Depp et al.,1414 Depp C, Vahia I V, Jeste D. Successful Aging: Focus on Cognitive and Emotional Health. Annu Rev Clin Psychol. 2010;6(1):527-50. in a review compiling 28 studies, 29 different definitions of successful aging have been proposed so far. As successful cognitive aging is an emerging topic, it has been analyzed from different perspectives leading to numerous different definitions.1919 Cabeza R, Anderson ND, Locantore JK, McIntosh AR. Aging Gracefully: Compensatory Brain Activity in High-Performing Older Adults. Neuroimage. 2002;17(3):1394-402.,2222 Dekhtyar M, Papp K V, Buckley R, Jacobs HIL, Schultz AP, Johnson KA, et al. Neuroimaging markers associated with maintenance of optimal memory performance in late-life. Neuropsychologia. 2017;100: 164-70.,2323 Mapstone M, Lin F, Nalls MA, Cheema AK, Singleton AB, Fiandaca MS, et al. What success can teach us about failure: the plasma metabolome of older adults with superior memory and lessons for Alzheimer's disease. Neurobiol Aging. 2017;51:148-55. Nonetheless, it is essential to conceptualize an operationalized, well-defined age and cognitive measure definition before making assumptions about this group of individuals. In addition, a greater variability in cognitive functioning is found in older age than in the younger population, which may potentially be a confounding factor in cognitive aging studies. Thus, there is a need for a single concept applicable to each specific group.

In this context, perhaps the most popular terminology, “SuperAgers”, is defined by individuals aged 80 years or over, with a memory ability similar or superior to middle-aged subjects.2424 Rogalski EJ, Gefen T, Shi J, Samimi M, Bigio E, Weintraub S, et al. Youthful Memory Capacity in Old Brains: Anatomic and Genetic Clues from the Northwestern SuperAging Project. J Cogn Neurosci. 2013;25(1):29-36. Therefore, non-memory domains were evaluated and participants required to perform, on average, within 1 standard deviation on the Trail Making Test Part B, the 30-item Boston Naming Test and the Category Fluency Test. Individuals were included when they lacked clinical or imaging findings of neurologic or psychiatric conditions and maintained activities of daily living.

Although this definition is useful in defining older adults with exceptional cognitive ability, we believe it to be rather limited. The evaluation of individuals with high performance does not imply only selecting a single class of subjects with a specific neuropsychological criterion. A broader, more comprehensive definition should also include subjects with little or no literacy but with unusual cognitive functioning. Therefore, the definition of SuperAgers might be inadequate for developing countries, due to the high prevalence of low education and its influence on normative values of cognitive tests. Thus, many individuals who are not classified as SuperAgers, but have exceptional memory ability for age and education, might be misclassified as usual agers.

There is a significant effort to elucidate the aging process by studying cognitively average older adults. Selection criteria of many studies includes older adults without signs of cognitive decline.2525 Willis SL, Tennstedt SL, Marsiske M, Ball K, Elias J, Koepke KM, et al. Long-term Effects of Cognitive Training on Everyday Functional Outcomes in Older Adults. JAMA. 2006;296(23):2805.

26 Shao Z, Janse E, Visser K, Meyer AS. What do verbal fluency tasks measure? Predictors of verbal fluency performance in older adults. Front Psychol. 2014;5:772.
-2727 Harada CN, Natelson Love MC, Triebel KL. Normal cognitive aging. Clin Geriatr Med. 2013;29(4):737-52. Nonetheless, these individuals present typical age-related cognitive decline. Here we focus on individuals with cognitive performance that is above average for their age. These individuals potentially have maintained their memory ability throughout the aging process, scoring similar to middle-aged subjects.

We propose a general nomenclature for individuals who achieve successful cognitive aging. The term “High-performing older adults” (HPOA), first cited by Cabeza et al.,1919 Cabeza R, Anderson ND, Locantore JK, McIntosh AR. Aging Gracefully: Compensatory Brain Activity in High-Performing Older Adults. Neuroimage. 2002;17(3):1394-402. provides an expanded concept of individuals who maintain unusually good cognition. Although some studies have used the same terminology, their selection criteria were not the same. While some studies used memory scores for defining HPOA,1616 Harrison TM, Weintraub S, Mesulam M-MM-M, Rogalski E. Superior memory and higher cortical volumes in unusually successful cognitive aging. J Int Neuropsychol Soc. 2012;18(6):1081-5.,1919 Cabeza R, Anderson ND, Locantore JK, McIntosh AR. Aging Gracefully: Compensatory Brain Activity in High-Performing Older Adults. Neuroimage. 2002;17(3):1394-402.,2424 Rogalski EJ, Gefen T, Shi J, Samimi M, Bigio E, Weintraub S, et al. Youthful Memory Capacity in Old Brains: Anatomic and Genetic Clues from the Northwestern SuperAging Project. J Cogn Neurosci. 2013;25(1):29-36. others used educational level or non-memory domains.2020 Duarte A, Ranganath C, Trujillo C, Knight RT. Intact recollection memory in high-performing older adults: ERP and behavioral evidence. J Cogn Neurosci. 2006;18(1):33-47.,2121 Abbassi E, Joanette Y. The time course of access to semantic information in high-performing older adults: Behavioral evidence for the hemispheric asymmetry reduction in older individuals. Aging Neuropsychol Cogn. 2011;18(4):452-70.,2828 Tuokko H, Garrett DD, McDowell I, Silverberg N, Kristjansson B. Cognitive decline in high-functioning older adults: Reserve or ascertainment bias? Aging Ment Health. 2003;7(4):259-70.,2929 Daselaar SM, Iyengar V, Davis SW, Eklund K, Hayes SM, Cabeza RE. Less Wiring, More Firing: Low-Performing Older Adults Compensate for Impaired White Matter with Greater Neural Activity. Cereb Cortex. 2015;25(4):983-90. The heterogeneity of previous studies supports the need for a single terminology and evidence-based criteria for classification of HPOA. Imperative for this definition, we propose two main features for classifying an individual as HPOA, namely suitable age threshold and adequate cognitive measurements, either of memory or non-memory domains.

AGE CUT-OFF

An adequate age criterion is vital for proper selection of older individuals with high cognitive performance. Different age criteria are used by different authors, ranging from 60 to 80 years.1616 Harrison TM, Weintraub S, Mesulam M-MM-M, Rogalski E. Superior memory and higher cortical volumes in unusually successful cognitive aging. J Int Neuropsychol Soc. 2012;18(6):1081-5.,2222 Dekhtyar M, Papp K V, Buckley R, Jacobs HIL, Schultz AP, Johnson KA, et al. Neuroimaging markers associated with maintenance of optimal memory performance in late-life. Neuropsychologia. 2017;100: 164-70.,3030 Pudas S, Persson J, Josefsson M, de Luna X, Nilsson L-G, Nyberg L. Brain characteristics of individuals resisting age-related cognitive decline over two decades. J Neurosci. 2013;33(20):8668-77.,3131 Sun FW, Stepanovic MR, Andreano J, Barrett LF, Touroutoglou A, Dickerson BC. Youthful Brains in Older Adults: Preserved Neuroanatomy in the Default Mode and Salience Networks Contributes to Youthful Memory in Superaging. J Neurosci. 2016;36(37):9659-68. Since this limit appears to vary substantially across studies, we suggest that a single age limit for defining HPOA can benefit further generalization of results.

The concept of aging is cultural and dynamic. The onset of old age is a matter of discussion, with a massive impact on public health policies, labor force, and retirement. Conventionally, aging is arbitrarily determined as occurring at 65 and 60 years of age in developed and developing countries, respectively.3232 Orimo H, Ito H, Suzuki T, Araki A, Hosoi T, Sawabe M. Reviewing the definition of "elderly." Geriatr Gerontol Int. 2006;6(3):149-58.,3333 Kowal P, Dowd JE. Definition of an older person. Proposed working definition of an older person in Africa for the MDS Project. Geneva World Heal Organ; 2001. The World Health Organization (WHO) and the Brazilian Elderly Statute use the standard of age 60 to describe older adults, but the WHO clarifies that this is not a precise cut-off.3434 (WHO) WHO. Active Aging - A Policy Framework. A contribution of the World Health Organization to the Second United Nations World Assembly on Ageing. Madrid; 2012 Moreover, aging is directly affected by life expectancy, which plays a major role in this definition. Individuals born in resource-rich countries have a higher possibility of attaining an older age. An individual born in the United States, for both sexes, lives almost five years longer when compared to a Brazilian subject (79.3 vs. 75).3535 (WHO) WHO. World Health Statistics 2016: monitoring health for the SDGs, sustainable development goals. 2016:121.

Age-related cognitive decline usually intensifies at around 60-65 years of age1313 Nyberg L, Lövdén M, Riklund K, Lindenberger U, Bäckman L. Memory aging and brain maintenance. Trends Cogn Sci. 2012;16(5):292-305. and should be carefully addressed in cognitive aging studies. Longitudinal and cross-sectional samples indicate that between 20-60 years there is little or no cognitive decline,3636 Hedden T, Gabrieli JDE. Insights into the ageing mind: a view from cognitive neuroscience. Nat Rev Neurosci. 2004;5(2):87-96.,3737 Salthouse TA. When does age-related cognitive decline begin? Neurobiol Aging. 2009;30(4):507-14. but it is marked after the age of 74 years.3838 Schaie KW, Willis SL. The Seattle Longitudinal Study of Adult Cognitive Development. ISSBD. 2010;57(1):24-9. Age-related brain atrophy follows a non-linear process, in which prefrontal and parietal regions are more vulnerable.3939 Fjell AM, Westlye LT, Grydeland H, Amlien I, Espeseth T, Reinvang I, et al. Critical ages in the life course of the adult brain: nonlinear subcortical aging. Neurobiol Aging. 2013;34(10):2239-47.

40 Allen JS, Bruss J, Brown CK, Damasio H. Normal neuroanatomical variation due to age: The major lobes and a parcellation of the temporal region. Neurobiol Aging. 2005;26(9):1245-60.
-4141 Good CD, Johnsrude IS, Ashburner J, Henson RNA, Friston KJ, Frackowiak RSJ. A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains. Neuroimage. 2001;14(1):21-36. Grey matter density of cognitively normal adults also undergoes more rapid decline from 7 to 60 years, with lower atrophy rates thereafter.4242 Sowell ER, Peterson BS, Thompson PM, Welcome SE, Henkenius AL, Toga AW. Mapping cortical change across the human life span. Nat Neurosci. 2003;6(3):309-15. Studies that include individuals aged 60 to 65 years may introduce a bias, as age-related cognitive decline is already underway. Hence, it is believed that individuals who do not suffer from age-related cognitive decline up until 75 years of age have a higher likelihood of maintaining their cognitive ability, given that they do not have neurological diseases causing cognitive impairment or dementia.

The HPOA age cut-off may vary according to sociodemographic and cultural characteristics. We propose a threshold of successful cognitive aging according to sociocultural characteristics of the studied sample. An adequate, though imperfect, cut-off could be determined for the developed and developing countries as 80 and 75 years, respectively. These proposed cut-offs account for the 5-year difference both in life expectancy and in the definition of older adults between developed and developing countries, as previously cited in this topic. Furthermore, developing countries have lower educational levels and higher social discrepancy than developed countries. Thus, a higher age threshold may incorrectly select individuals with a better educational and economic background in these nations.4343 Marmot M. Social determinants of health inequalities. Lancet. 2005; 365(9464):1099-104.

44 Chetty R, Stepner M, Abraham S, Lin S, Scuderi B, Turner N, et al. The Association Between Income and Life Expectancy in the United States, 2001-2014. JAMA. 2016;315(16):1750.
-4545 Meara ER, Richards S, Cutler DM. The Gap Gets Bigger: Changes In Mortality And Life Expectancy, By Education, 1981-2000. Health Aff (Millwood). 2008;27(2):350-60.

COGNITIVE CRITERIA

Memory scores

The extent of usual, age-related cognitive decline implies a subject’s ability for independence and functioning in daily life. The processes of memory encoding, storage, and retrieval decline over the course of the whole lifetime, where encoding is particularly vulnerable to aging and seems to decline across the lifespan.3636 Hedden T, Gabrieli JDE. Insights into the ageing mind: a view from cognitive neuroscience. Nat Rev Neurosci. 2004;5(2):87-96. The encoding of novel memories is a major hippocampal function and shows a strong relationship with memory impairment in AD.4646 Eichenbaum H. Memory: Organization and Control. Annu Rev Psychol. 2017;68(1):19-45.

47 Zola-Morgan S, Squire LR, Amaral DG. Human amnesia and the medial temporal region: enduring memory impairment following a bilateral lesion limited to field CA1 of the hippocampus. J Neurosci. 1986;6(10): 2950-67.
-4848 O'Brien JL, O'Keefe KM, LaViolette PS, DeLuca AN, Blacker D, Dickerson BC, et al. Longitudinal fMRI in elderly reveals loss of hippocampal activation with clinical decline. Neurology. 2010;74(24):1969-76.

Several studies regarding high performance in old age rely upon episodic memory evaluation as a major defining factor.1616 Harrison TM, Weintraub S, Mesulam M-MM-M, Rogalski E. Superior memory and higher cortical volumes in unusually successful cognitive aging. J Int Neuropsychol Soc. 2012;18(6):1081-5.,2222 Dekhtyar M, Papp K V, Buckley R, Jacobs HIL, Schultz AP, Johnson KA, et al. Neuroimaging markers associated with maintenance of optimal memory performance in late-life. Neuropsychologia. 2017;100: 164-70.,2323 Mapstone M, Lin F, Nalls MA, Cheema AK, Singleton AB, Fiandaca MS, et al. What success can teach us about failure: the plasma metabolome of older adults with superior memory and lessons for Alzheimer's disease. Neurobiol Aging. 2017;51:148-55.,4949 Janeczek M, Gefen T, Samimi M, Kim G, Weintraub S, Bigio E, et al. Variations in Acetylcholinesterase Activity within Human Cortical Pyramidal Neurons Across Age and Cognitive Trajectories. Cereb Cortex. 2018;28(4):1329-37. In agreement with other studies in this field, the definition of HPOA must consider episodic memory performance as essential because of its clear relationship with cognitive impairment and dementia. Besides, the biological mechanisms of HPOA may differ to that of AD-type dementia given their contrasting clinical features. A cognitive composite of executive functions, memory, and global cognition reliably determines the first signs of AD,5050 Donohue MC, Sperling RA, Salmon DP, Rentz DM, Raman R, Thomas RG, et al. The Preclinical Alzheimer Cognitive Composite. JAMA Neurol. 2014;71(8):961. which highlights the importance of these functions in this condition.

There are several validated and reliable tools for episodic memory measurement in the English language. Specifically, psychometric properties for Brazilian neuropsychological tests lack diversity and adequacy of data. The Rey Auditory-Verbal Learning Test (RAVLT), typically applied in older adults, reliably distinguished not only high-performing groups from controls5151 Gefen T, Shaw E, Whitney K, Martersteck A, Stratton J, Rademaker A, et al. Longitudinal neuropsychological performance of cognitive SuperAgers. J Am Geriatr Soc. 2014;62(8):1598-600. but also different age groups.5252 Magalhães SS, Hamdan AC. The Rey Auditory Verbal Learning Test: Normative data for the Brazilian population and analysis of the influence of demographic variables. Psychol Neurosci. 2010;3(1):85-91.,5353 Fichman HC, Teresa Dias LB, Fernandes CS, Lourenço R, Caramelli P, Nitrini R. Normative data and construct validity of the Rey Auditory Verbal Learning Test in a Brazilian elderly population. Psychol Neurosci. 2010;3(1):79-84. This tool also showed good replicability in distinguishing normal from pathologic cognitive decline with aging.5454 Cotta MF, Malloy-Diniz LF, Nicolato R, De Moares EN, Rocha FL, De Paula JJ. O Teste de Aprendizagem Auditivo-Verbal de Rey (RAVLT) no diagnóstico diferencial do envelhecimento cognitivo normal e patológico. Context Clínicos. 2012;5(1). http://dx.doi.org/10.4013/ctc.2012.51.02
http://dx.doi.org/10.4013/ctc.2012.51.02...
However, the Brazilian population tends to be penalized due to lack of suitable scores for low levels of education on the RAVLT.5252 Magalhães SS, Hamdan AC. The Rey Auditory Verbal Learning Test: Normative data for the Brazilian population and analysis of the influence of demographic variables. Psychol Neurosci. 2010;3(1):85-91. In this context, visual memory tasks may be useful, such as the visual task of the Brief Cognitive Screening Battery5555 Nitrini R, Caramelli P, Porto CS, Charchat-Fichman H, Formigoni AP, Carthery-Goulart MT, et al. Brief cognitive battery in the diagnosis of mild Alzheimer's disease in subjects with medium and high levels of education. Dement Neuropsychol. 2007;1(1):32-6. and the Rey-Osterrieth Complex Figure.5656 Osterrieth PA. Le test de copie d'une figure complexe; contribu- tion à l'étude de la percep- tion et de la mémoire. Arch Psychol. 1944; 30:206-356. Visual memory tasks have shown little association with the educational level of individuals,5757 Boone KB, Lesser IM, Hill-gutierrez E, Berman NG, D'elia LF. Rey-osterrieth complex figure performance in healthy, older adults: Relationship to age, education, sex, and IQ. Clin Neuropsychol. 1993;7(1):22-8.,5858 Wechsler D. The measurement of adult intelligence. Baltimore: Williams & Wilkins Co; 1939. while reliably measuring their memory performance.

There are many factors that must be considered when choosing the adequate neuropsychological test to measure episodic memory capacity. The major factor in considering any test is the development of normative data for the studied population. There are many suitable tests developed specifically for measuring verbal memory (Table 1), such as the California Verbal Learning Test5959 Elwood RW. The California Verbal Learning Test: psychometric characteristics and clinical application. Neuropsychol Rev. 1995;5(3): 173-201. (not available for the Brazilian population) and the Free and Cued Selective Reminding Test,6060 Auriacombe S, Helmer C, Amieva H, Berr C, Dubois B, Dartigues J-F. Validity of the free and cued selective reminding test in predicting dementia: the 3C study. Neurology. 2010;74(22):1760-7. for example. Some tests are commonly used in Brazil, but their references are standardized scores validated for the North American population, such as the Wechsler Memory Scales.6161 Wechsler D. Wechsler memory scale-revised. San Antonio: The Psychological Corporation; 1987.

Table 1
Commonly used memory tests for the Brazilian population.

As defined in previous studies, HPOA must represent the highest level of memory performance in elderly. Some studies define the top 20% of the sample as high memory performers, which may introduce a bias. This method selects only high performers in a single sample, which may not adequately represent the high-performing individuals in the general population as a whole.

Nonetheless, the rigid memory score definition used by Rogalski et al.,2424 Rogalski EJ, Gefen T, Shi J, Samimi M, Bigio E, Weintraub S, et al. Youthful Memory Capacity in Old Brains: Anatomic and Genetic Clues from the Northwestern SuperAging Project. J Cogn Neurosci. 2013;25(1):29-36. greater than or equal to the normative values of individuals at 50-60 years, is adequate for several reasons. First, this age range considers the memory scores of individuals before the typical age-related memory decline, as described in Topic 2. Second, as it is related to the test, this method of selecting HPOA is independent of sample size. Third, it facilitates the comparison of data with studies from other contexts and cultures that also define HPOA as older adults scoring greater than or equal to individuals of 50-60 years. Thus, we propose that HPOA may be selected with a memory test score that is equal to or above normative values of individuals at 50-60 years of age, but not necessarily using the RAVLT. Individuals with low educational level may be evaluated with visual memory instead of verbal memory tests (Table 1).

Non-memory scores

Global cognition must also be evaluated in order to successfully select individuals with excellent memory performance. A low score on this type of test may indicate a subclinical pathologic process that does not affect the memory system. On the other hand, above average scores suggest that these individuals have an optimal performance when associated with unusually high memory scores. It is important to note that the cognitive evaluation typically performed in a neurological or psychiatric routine is essentially not a measure of global cognition. Some tools for dementia screening are excellent for the diagnosis of mild cognitive impairment or dementia staging but should be avoided as classifiers for “cognitively normal”, such as the Mini-Mental State Examination (MMSE) or the Montreal Cognitive Assessment (MoCA).6262 Tsoi KKF, Chan JYC, Hirai HW, Wong SYS, Kwok TCY. Cognitive Tests to Detect Dementia. JAMA Intern Med. 2015;175(9):1450. A comprehensive and validated tool may be used for classifying subjects, such as the Addenbrooke’s Cognitive Evaluation-Revised or the Mattis Dementia Rating Scale.6363 Mattis S. Dementia Rating Scale (DRS): Professional Manual. Florida Psychol Assess Resour. 1988.,6464 Mioshi E, Dawson K, Mitchell J, Arnold R, Hodges JR. The Addenbrooke's Cognitive Examination Revised (ACE-R): a brief cognitive test battery for dementia screening. Int J Geriatr Psychiatry. 2006; 21(11):1078-85.

Frontal lobe functioning seems to be particularly vulnerable to aging.2727 Harada CN, Natelson Love MC, Triebel KL. Normal cognitive aging. Clin Geriatr Med. 2013;29(4):737-52.,3636 Hedden T, Gabrieli JDE. Insights into the ageing mind: a view from cognitive neuroscience. Nat Rev Neurosci. 2004;5(2):87-96. Previous studies indicate that attention is essential for memory formation and precedes memory consolidation.6565 Chun MM, Turk-Browne NB. Interactions between attention and memory. Curr Opin Neurobiol. 2007;17(2):177-84.

66 Kitamura T, Ogawa SK, Roy DS, Okuyama T, Morrissey MD, Smith LM, et al. Engrams and circuits crucial for systems consolidation of a memory. Science. 2017;356(6333):73-8.
-6767 Aly M, Turk-Browne NB. Attention Stabilizes Representations in the Human Hippocampus. Cereb Cortex. 2016;26(2):783-96. Furthermore, inhibitory control, a component of the attentional system, shows an exacerbated decrease after 60 years of age,6868 Commodari E, Guarnera M. Attention and aging. Aging Clin Exp Res. 2008;20(6):578-84. although this does not affect selective attention.6969 Verhaeghen P, Cerella J. Aging, executive control, and attention: a review of meta-analyses. Neurosci Biobehav Rev. 2002;26(7):849-57. The frontostriatal system may be the major cause of decline in executive functioning in nondemented individuals; this has an indirect but strong impact on memory encoding.3636 Hedden T, Gabrieli JDE. Insights into the ageing mind: a view from cognitive neuroscience. Nat Rev Neurosci. 2004;5(2):87-96.,7070 Buckner RL. Memory and executive function in aging and AD: multiple factors that cause decline and reserve factors that compensate. Neuron. 2004;44(1):195-208. White matter also seems to be preferentially weakened in anterior tracts.7171 Bennett IJ, Greenia DE, Maillard P, Sajjadi SA, DeCarli C, Corrada MM, et al. Age-related white matter integrity differences in oldest-old without dementia. Neurobiol Aging. 2017;56:108-14.,7272 Head D, Buckner RL, Shimony JS, Williams LE, Akbudak E, Conturo TE, et al. Differential vulnerability of anterior white matter in nondemented aging with minimal acceleration in dementia of the Alzheimer type: evidence from diffusion tensor imaging. Cereb Cortex. 2004;14(4): 410-23. Executive functioning in HPOA is still open to debate, as a recent study suggests that a group of cognitive maintainers may rely upon frontal mechanisms for memory maintenance.2222 Dekhtyar M, Papp K V, Buckley R, Jacobs HIL, Schultz AP, Johnson KA, et al. Neuroimaging markers associated with maintenance of optimal memory performance in late-life. Neuropsychologia. 2017;100: 164-70. Accordingly, the anterior cingulate is associated with the cognitive control and regulation of attention,7373 MacDonald AW. Dissociating the Role of the Dorsolateral Prefrontal and Anterior Cingulate Cortex in Cognitive Control. Science. 2000; 288(5472):1835-8.

74 Carter CS, Braver TS, Barch DM, Botvinick MM, Noll D, Cohen JD. Anterior Cingulate Cortex, Error Detection, and the Online Monitoring of Performance. Science. 1998;280(5364):747-9.
-7575 Wu D, Deng H, Xiao X, Zuo Y, Sun J, Wang Z. Persistent Neuronal Activity in Anterior Cingulate Cortex Correlates with Sustained Attention in Rats Regardless of Sensory Modality. Sci Rep. 2017;7:43101. which corroborates that it may play a key role in the exceptional memory in HPOA.1616 Harrison TM, Weintraub S, Mesulam M-MM-M, Rogalski E. Superior memory and higher cortical volumes in unusually successful cognitive aging. J Int Neuropsychol Soc. 2012;18(6):1081-5.,2222 Dekhtyar M, Papp K V, Buckley R, Jacobs HIL, Schultz AP, Johnson KA, et al. Neuroimaging markers associated with maintenance of optimal memory performance in late-life. Neuropsychologia. 2017;100: 164-70.

Processing speed is a strong indicator of age changes in memory ability7676 Finkel D, Reynolds CA, McArdle JJ, Pedersen NL. Age changes in processing speed as a leading indicator of cognitive aging. Psychol Aging. 2007;22(3):558-68. and also seems to be associated with HPOA.2222 Dekhtyar M, Papp K V, Buckley R, Jacobs HIL, Schultz AP, Johnson KA, et al. Neuroimaging markers associated with maintenance of optimal memory performance in late-life. Neuropsychologia. 2017;100: 164-70. Some functions appear to be less vulnerable to age-related cognitive decline, such as semantic memory, vocabulary, and fluency skills. Both are linked as crystallized intelligence and tend to enhance with aging.2727 Harada CN, Natelson Love MC, Triebel KL. Normal cognitive aging. Clin Geriatr Med. 2013;29(4):737-52.,7777 Horn JL, Cattell RB. Refinement and test of the theory of fluid and crystallized general intelligences. J Educ Psychol. 1966;57(5):253-70.,7878 Park DC, Reuter-Lorenz P. The adaptive brain: aging and neurocognitive scaffolding. Annu Rev Psychol. 2009;60:173-96. However, it is believed that these functions are not central to cognitive maintenance in aging.

UNANSWERED QUESTIONS AND LIMITATIONS

A complete understanding of the mechanisms at play in older adults who successfully preserve their memory may reveal key processes in cognitive maintenance. There is still a lack of knowledge in understanding usual and unusual aging. Some recent studies have focused on preclinical stages of Alzheimer’s disease in order to discover early biomarkers of memory decline. The promotion of successful cognitive aging holds great promise in targeting biomarkers, potentially improving cognitive function in later life.

The frontal lobe has been shown to be particularly vulnerable to aging and neurodegenerative processes.3636 Hedden T, Gabrieli JDE. Insights into the ageing mind: a view from cognitive neuroscience. Nat Rev Neurosci. 2004;5(2):87-96. Only one study evaluated executive functioning in HPOA and showed an intriguing preservation of these functions.2222 Dekhtyar M, Papp K V, Buckley R, Jacobs HIL, Schultz AP, Johnson KA, et al. Neuroimaging markers associated with maintenance of optimal memory performance in late-life. Neuropsychologia. 2017;100: 164-70. Further, subdomains of attention have not been explored in HPOA to date. Further investigations involving frontal assessment tests are needed to better elucidate the role of executive functions and processing in HPOA.

Some neuropsychological tests are not available in many languages. There is a preference for the evaluation of specific cognitive domains in clinical practice, which may imply a misuse of non-culturally adapted versions of tools. Thus, translation, validation, and development of normative values are needed in order to reliably measure the cognitive functioning of older adults, which must be based on cultural and demographic factors.

There is still a need for longitudinal studies on HPOA. Individuals with high cognitive performance may have progressive decline, which is not measurable using a cross-sectional design. In addition, it is not yet known if HPOA cumulate a higher cognitive reserve than usual agers or its relationship to brain maintenance. Only by carefully addressing studies on cognitive aging, will we be able to advance in distinguishing preclinical AD from usual cognitive aging.

CONCLUSION

In summary, in this study we proposed an evidence-based selection criteria for older adults with exceptional cognitive performance. This study plays a role in defining these individuals according to age and cognitive criteria (Table 2), in contrast with the heterogeneity of studies using different measures and terminologies. With a single concept of HPOA, this study may provide support to better understand the cognitive aging process.

Table 2
Operationalized definition of High-performing older adults.
  • This study was conducted at the Brain Institute of Rio Grande do Sul (BraIns), Pontifical Catholic University of Rio Grande do Sul, Porto Alegre RS, Brazil.

Acknowledgements. Ricardo Nitrini, Paulo Caramelli and Jaderson Costa da Costa are funded by the CNPq (bolsa de produtividade em pesquisa). Ricardo Nitrini and Adalberto Studart-Neto are funded by the FAPESP (Fundação de Amparo a Pesquisa do Estado de São Paulo). Wyllians Vendramini Borelli is funded by the CAPES (PBE-DPM II, doctoral research scholarship).

REFERENCES

  • 1
    Cummings JL, Morstorf T, Zhong K. Alzheimer's disease drug-development pipeline: few candidates, frequent failures. Alzheimers Res Ther. 2014;6(4):37.
  • 2
    Conner K, Sweeney CY, Brown T, Childs L, Rogers S, Gregory T. Practical applications of physical activity for successful cognitive aging. J Am Acad Physician Assist. 2017;30(8):30-5.
  • 3
    Wilson RS, Boyle PA, Segawa E, Yu L, Begeny CT, Anagnos SE, et al. The influence of cognitive decline on well-being in old age. Psychol Aging. 2013;28(2):304-13.
  • 4
    Kliegel M, Moor C, Rott C. Cognitive status and development in the oldest old: a longitudinal analysis from the Heidelberg Centenarian Study. Arch Gerontol Geriatr. 2004;39(2):143-56.
  • 5
    Andersen K, Nybo H, Gaist D, Petersen HC, McGue M, Jeune B, et al. Cognitive Impairment and Mortality among Nonagenarians: The Danish 1905 Cohort Survey. Dement Geriatr Cogn Disord. 2002;13(3):156-63.
  • 6
    Takata Y, Ansai T, Soh I, Awano S, Nakamichi I, Akifusa S, et al. Cognitive function and 10 year mortality in an 85 year-old community-dwelling population. Clin Interv Aging. 2014;9:1691-9.
  • 7
    Matthews FE, Brayne C, Lowe J, McKeith I, Wharton SB, Ince P. Epidemiological Pathology of Dementia: Attributable-Risks at Death in the Medical Research Council Cognitive Function and Ageing Study. Gandy S, editor. PLoS Med. 2009;6(11):e1000180.
  • 8
    Pinquart M, Sörensen S. Differences between caregivers and noncaregivers in psychological health and physical health: A meta-analysis. Psychol Aging. 2003;18(2):250-67.
  • 9
    Rowe JW, Kahn RL, Rowe JW, Kahn RL. Successful aging. Gerontologist. 1998;37(4):433.
  • 10
    Rowe JW, Kahn RL. Human Aging: Usual and Successful. Source Sci New Ser. 1987;237(4811):143-9.
  • 11
    Depp CA, Harmell A, Vahia IV. Successful Cognitive Aging. Curr Top Behav Neurosci. 2012;10:35-50.
  • 12
    Stern Y. Cognitive reserve. Neuropsychologia. 2009;47(10):2015-28.
  • 13
    Nyberg L, Lövdén M, Riklund K, Lindenberger U, Bäckman L. Memory aging and brain maintenance. Trends Cogn Sci. 2012;16(5):292-305.
  • 14
    Depp C, Vahia I V, Jeste D. Successful Aging: Focus on Cognitive and Emotional Health. Annu Rev Clin Psychol. 2010;6(1):527-50.
  • 15
    Davis SW, Dennis NA, Daselaar SM, Fleck MS, Cabeza R. Que PASA? The Posterior-Anterior Shift in Aging. Cereb Cortex. 2008;18(5):1201-9.
  • 16
    Harrison TM, Weintraub S, Mesulam M-MM-M, Rogalski E. Superior memory and higher cortical volumes in unusually successful cognitive aging. J Int Neuropsychol Soc. 2012;18(6):1081-5.
  • 17
    Gefen T, Peterson M, Papastefan ST, Martersteck A, Whitney K, Rademaker A, et al. Morphometric and histologic substrates of cingulate integrity in elders with exceptional memory capacity. J Neurosci. 2015;35(4):1781-91.
  • 18
    Borelli WV, Schilling LP, Radaelli G, Ferreira LB, Pisani L, Portuguez MW, et al. Neurobiological findings associated with high cognitive performance in older adults: a systematic review. Int Psychogeriatr. 2018:1-13
  • 19
    Cabeza R, Anderson ND, Locantore JK, McIntosh AR. Aging Gracefully: Compensatory Brain Activity in High-Performing Older Adults. Neuroimage. 2002;17(3):1394-402.
  • 20
    Duarte A, Ranganath C, Trujillo C, Knight RT. Intact recollection memory in high-performing older adults: ERP and behavioral evidence. J Cogn Neurosci. 2006;18(1):33-47.
  • 21
    Abbassi E, Joanette Y. The time course of access to semantic information in high-performing older adults: Behavioral evidence for the hemispheric asymmetry reduction in older individuals. Aging Neuropsychol Cogn. 2011;18(4):452-70.
  • 22
    Dekhtyar M, Papp K V, Buckley R, Jacobs HIL, Schultz AP, Johnson KA, et al. Neuroimaging markers associated with maintenance of optimal memory performance in late-life. Neuropsychologia. 2017;100: 164-70.
  • 23
    Mapstone M, Lin F, Nalls MA, Cheema AK, Singleton AB, Fiandaca MS, et al. What success can teach us about failure: the plasma metabolome of older adults with superior memory and lessons for Alzheimer's disease. Neurobiol Aging. 2017;51:148-55.
  • 24
    Rogalski EJ, Gefen T, Shi J, Samimi M, Bigio E, Weintraub S, et al. Youthful Memory Capacity in Old Brains: Anatomic and Genetic Clues from the Northwestern SuperAging Project. J Cogn Neurosci. 2013;25(1):29-36.
  • 25
    Willis SL, Tennstedt SL, Marsiske M, Ball K, Elias J, Koepke KM, et al. Long-term Effects of Cognitive Training on Everyday Functional Outcomes in Older Adults. JAMA. 2006;296(23):2805.
  • 26
    Shao Z, Janse E, Visser K, Meyer AS. What do verbal fluency tasks measure? Predictors of verbal fluency performance in older adults. Front Psychol. 2014;5:772.
  • 27
    Harada CN, Natelson Love MC, Triebel KL. Normal cognitive aging. Clin Geriatr Med. 2013;29(4):737-52.
  • 28
    Tuokko H, Garrett DD, McDowell I, Silverberg N, Kristjansson B. Cognitive decline in high-functioning older adults: Reserve or ascertainment bias? Aging Ment Health. 2003;7(4):259-70.
  • 29
    Daselaar SM, Iyengar V, Davis SW, Eklund K, Hayes SM, Cabeza RE. Less Wiring, More Firing: Low-Performing Older Adults Compensate for Impaired White Matter with Greater Neural Activity. Cereb Cortex. 2015;25(4):983-90.
  • 30
    Pudas S, Persson J, Josefsson M, de Luna X, Nilsson L-G, Nyberg L. Brain characteristics of individuals resisting age-related cognitive decline over two decades. J Neurosci. 2013;33(20):8668-77.
  • 31
    Sun FW, Stepanovic MR, Andreano J, Barrett LF, Touroutoglou A, Dickerson BC. Youthful Brains in Older Adults: Preserved Neuroanatomy in the Default Mode and Salience Networks Contributes to Youthful Memory in Superaging. J Neurosci. 2016;36(37):9659-68.
  • 32
    Orimo H, Ito H, Suzuki T, Araki A, Hosoi T, Sawabe M. Reviewing the definition of "elderly." Geriatr Gerontol Int. 2006;6(3):149-58.
  • 33
    Kowal P, Dowd JE. Definition of an older person. Proposed working definition of an older person in Africa for the MDS Project. Geneva World Heal Organ; 2001.
  • 34
    (WHO) WHO. Active Aging - A Policy Framework. A contribution of the World Health Organization to the Second United Nations World Assembly on Ageing. Madrid; 2012
  • 35
    (WHO) WHO. World Health Statistics 2016: monitoring health for the SDGs, sustainable development goals. 2016:121.
  • 36
    Hedden T, Gabrieli JDE. Insights into the ageing mind: a view from cognitive neuroscience. Nat Rev Neurosci. 2004;5(2):87-96.
  • 37
    Salthouse TA. When does age-related cognitive decline begin? Neurobiol Aging. 2009;30(4):507-14.
  • 38
    Schaie KW, Willis SL. The Seattle Longitudinal Study of Adult Cognitive Development. ISSBD. 2010;57(1):24-9.
  • 39
    Fjell AM, Westlye LT, Grydeland H, Amlien I, Espeseth T, Reinvang I, et al. Critical ages in the life course of the adult brain: nonlinear subcortical aging. Neurobiol Aging. 2013;34(10):2239-47.
  • 40
    Allen JS, Bruss J, Brown CK, Damasio H. Normal neuroanatomical variation due to age: The major lobes and a parcellation of the temporal region. Neurobiol Aging. 2005;26(9):1245-60.
  • 41
    Good CD, Johnsrude IS, Ashburner J, Henson RNA, Friston KJ, Frackowiak RSJ. A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains. Neuroimage. 2001;14(1):21-36.
  • 42
    Sowell ER, Peterson BS, Thompson PM, Welcome SE, Henkenius AL, Toga AW. Mapping cortical change across the human life span. Nat Neurosci. 2003;6(3):309-15.
  • 43
    Marmot M. Social determinants of health inequalities. Lancet. 2005; 365(9464):1099-104.
  • 44
    Chetty R, Stepner M, Abraham S, Lin S, Scuderi B, Turner N, et al. The Association Between Income and Life Expectancy in the United States, 2001-2014. JAMA. 2016;315(16):1750.
  • 45
    Meara ER, Richards S, Cutler DM. The Gap Gets Bigger: Changes In Mortality And Life Expectancy, By Education, 1981-2000. Health Aff (Millwood). 2008;27(2):350-60.
  • 46
    Eichenbaum H. Memory: Organization and Control. Annu Rev Psychol. 2017;68(1):19-45.
  • 47
    Zola-Morgan S, Squire LR, Amaral DG. Human amnesia and the medial temporal region: enduring memory impairment following a bilateral lesion limited to field CA1 of the hippocampus. J Neurosci. 1986;6(10): 2950-67.
  • 48
    O'Brien JL, O'Keefe KM, LaViolette PS, DeLuca AN, Blacker D, Dickerson BC, et al. Longitudinal fMRI in elderly reveals loss of hippocampal activation with clinical decline. Neurology. 2010;74(24):1969-76.
  • 49
    Janeczek M, Gefen T, Samimi M, Kim G, Weintraub S, Bigio E, et al. Variations in Acetylcholinesterase Activity within Human Cortical Pyramidal Neurons Across Age and Cognitive Trajectories. Cereb Cortex. 2018;28(4):1329-37.
  • 50
    Donohue MC, Sperling RA, Salmon DP, Rentz DM, Raman R, Thomas RG, et al. The Preclinical Alzheimer Cognitive Composite. JAMA Neurol. 2014;71(8):961.
  • 51
    Gefen T, Shaw E, Whitney K, Martersteck A, Stratton J, Rademaker A, et al. Longitudinal neuropsychological performance of cognitive SuperAgers. J Am Geriatr Soc. 2014;62(8):1598-600.
  • 52
    Magalhães SS, Hamdan AC. The Rey Auditory Verbal Learning Test: Normative data for the Brazilian population and analysis of the influence of demographic variables. Psychol Neurosci. 2010;3(1):85-91.
  • 53
    Fichman HC, Teresa Dias LB, Fernandes CS, Lourenço R, Caramelli P, Nitrini R. Normative data and construct validity of the Rey Auditory Verbal Learning Test in a Brazilian elderly population. Psychol Neurosci. 2010;3(1):79-84.
  • 54
    Cotta MF, Malloy-Diniz LF, Nicolato R, De Moares EN, Rocha FL, De Paula JJ. O Teste de Aprendizagem Auditivo-Verbal de Rey (RAVLT) no diagnóstico diferencial do envelhecimento cognitivo normal e patológico. Context Clínicos. 2012;5(1). http://dx.doi.org/10.4013/ctc.2012.51.02
    » http://dx.doi.org/10.4013/ctc.2012.51.02
  • 55
    Nitrini R, Caramelli P, Porto CS, Charchat-Fichman H, Formigoni AP, Carthery-Goulart MT, et al. Brief cognitive battery in the diagnosis of mild Alzheimer's disease in subjects with medium and high levels of education. Dement Neuropsychol. 2007;1(1):32-6.
  • 56
    Osterrieth PA. Le test de copie d'une figure complexe; contribu- tion à l'étude de la percep- tion et de la mémoire. Arch Psychol. 1944; 30:206-356.
  • 57
    Boone KB, Lesser IM, Hill-gutierrez E, Berman NG, D'elia LF. Rey-osterrieth complex figure performance in healthy, older adults: Relationship to age, education, sex, and IQ. Clin Neuropsychol. 1993;7(1):22-8.
  • 58
    Wechsler D. The measurement of adult intelligence. Baltimore: Williams & Wilkins Co; 1939.
  • 59
    Elwood RW. The California Verbal Learning Test: psychometric characteristics and clinical application. Neuropsychol Rev. 1995;5(3): 173-201.
  • 60
    Auriacombe S, Helmer C, Amieva H, Berr C, Dubois B, Dartigues J-F. Validity of the free and cued selective reminding test in predicting dementia: the 3C study. Neurology. 2010;74(22):1760-7.
  • 61
    Wechsler D. Wechsler memory scale-revised. San Antonio: The Psychological Corporation; 1987.
  • 62
    Tsoi KKF, Chan JYC, Hirai HW, Wong SYS, Kwok TCY. Cognitive Tests to Detect Dementia. JAMA Intern Med. 2015;175(9):1450.
  • 63
    Mattis S. Dementia Rating Scale (DRS): Professional Manual. Florida Psychol Assess Resour. 1988.
  • 64
    Mioshi E, Dawson K, Mitchell J, Arnold R, Hodges JR. The Addenbrooke's Cognitive Examination Revised (ACE-R): a brief cognitive test battery for dementia screening. Int J Geriatr Psychiatry. 2006; 21(11):1078-85.
  • 65
    Chun MM, Turk-Browne NB. Interactions between attention and memory. Curr Opin Neurobiol. 2007;17(2):177-84.
  • 66
    Kitamura T, Ogawa SK, Roy DS, Okuyama T, Morrissey MD, Smith LM, et al. Engrams and circuits crucial for systems consolidation of a memory. Science. 2017;356(6333):73-8.
  • 67
    Aly M, Turk-Browne NB. Attention Stabilizes Representations in the Human Hippocampus. Cereb Cortex. 2016;26(2):783-96.
  • 68
    Commodari E, Guarnera M. Attention and aging. Aging Clin Exp Res. 2008;20(6):578-84.
  • 69
    Verhaeghen P, Cerella J. Aging, executive control, and attention: a review of meta-analyses. Neurosci Biobehav Rev. 2002;26(7):849-57.
  • 70
    Buckner RL. Memory and executive function in aging and AD: multiple factors that cause decline and reserve factors that compensate. Neuron. 2004;44(1):195-208.
  • 71
    Bennett IJ, Greenia DE, Maillard P, Sajjadi SA, DeCarli C, Corrada MM, et al. Age-related white matter integrity differences in oldest-old without dementia. Neurobiol Aging. 2017;56:108-14.
  • 72
    Head D, Buckner RL, Shimony JS, Williams LE, Akbudak E, Conturo TE, et al. Differential vulnerability of anterior white matter in nondemented aging with minimal acceleration in dementia of the Alzheimer type: evidence from diffusion tensor imaging. Cereb Cortex. 2004;14(4): 410-23.
  • 73
    MacDonald AW. Dissociating the Role of the Dorsolateral Prefrontal and Anterior Cingulate Cortex in Cognitive Control. Science. 2000; 288(5472):1835-8.
  • 74
    Carter CS, Braver TS, Barch DM, Botvinick MM, Noll D, Cohen JD. Anterior Cingulate Cortex, Error Detection, and the Online Monitoring of Performance. Science. 1998;280(5364):747-9.
  • 75
    Wu D, Deng H, Xiao X, Zuo Y, Sun J, Wang Z. Persistent Neuronal Activity in Anterior Cingulate Cortex Correlates with Sustained Attention in Rats Regardless of Sensory Modality. Sci Rep. 2017;7:43101.
  • 76
    Finkel D, Reynolds CA, McArdle JJ, Pedersen NL. Age changes in processing speed as a leading indicator of cognitive aging. Psychol Aging. 2007;22(3):558-68.
  • 77
    Horn JL, Cattell RB. Refinement and test of the theory of fluid and crystallized general intelligences. J Educ Psychol. 1966;57(5):253-70.
  • 78
    Park DC, Reuter-Lorenz P. The adaptive brain: aging and neurocognitive scaffolding. Annu Rev Psychol. 2009;60:173-96.

Publication Dates

  • Publication in this collection
    Jul-Sep 2018

History

  • Received
    01 Mar 2018
  • Accepted
    04 July 2018
Academia Brasileira de Neurologia, Departamento de Neurologia Cognitiva e Envelhecimento R. Vergueiro, 1353 sl.1404 - Ed. Top Towers Offices, Torre Norte, São Paulo, SP, Brazil, CEP 04101-000, Tel.: +55 11 5084-9463 | +55 11 5083-3876 - São Paulo - SP - Brazil
E-mail: revistadementia@abneuro.org.br | demneuropsy@uol.com.br