Quantifying Cognitive Reserve in Older Adults by Decomposing Episodic Memory Variance: Replication and Extension

Abstract The theory of cognitive reserve attempts to explain why some individuals are more resilient to age-related brain pathology. Efforts to explore reserve have been hindered by measurement difficulties. Reed et al. (2010) proposed quantifying reserve as residual variance in episodic memory performance that remains after accounting for demographic factors and brain pathology (whole brain, hippocampal, and white matter hyperintensity volumes). This residual variance represents the discrepancy between an individual's predicted and actual memory performance. The goals of the present study were to extend these methods to a larger, community-based sample and to investigate whether the residual reserve variable is explained by age, predicts longitudinal changes in language, and predicts dementia conversion independent of age. Results support this operational measure of reserve. The residual reserve variable was associated with higher reading ability, lower likelihood of meeting criteria for mild cognitive impairment, lower odds of dementia conversion independent of age, and less decline in language abilities over 3 years. Finally, the residual reserve variable moderated the negative impact of memory variance explained by brain pathology on language decline. This method has the potential to facilitate research on the mechanisms of cognitive reserve and the efficacy of interventions designed to impart reserve. (JINS, 2013, 19, 1–9)

[1]  Yaakov Stern,et al.  Cognitive Reserve: Implications for Assessment and Intervention , 2013, Folia Phoniatrica et Logopaedica.

[2]  Andreas Engvig,et al.  Memory training impacts short‐term changes in aging white matter: A Longitudinal Diffusion Tensor Imaging Study , 2012, Human brain mapping.

[3]  Peter U. Tse,et al.  White Matter Structure Changes as Adults Learn a Second Language , 2012, Journal of Cognitive Neuroscience.

[4]  Lutz Jäncke,et al.  Training-Induced Neural Plasticity in Golf Novices , 2011, The Journal of Neuroscience.

[5]  E. Walker,et al.  Diagnostic and Statistical Manual of Mental Disorders , 2013 .

[6]  M. Folstein,et al.  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 , 2011, Neurology.

[7]  D. Bennett,et al.  Cognitive Activities During Adulthood Are More Important than Education in Building Reserve , 2011, Journal of the International Neuropsychological Society.

[8]  M. Glymour,et al.  Conceptual and Measurement Challenges in Research on Cognitive Reserve , 2011, Journal of the International Neuropsychological Society.

[9]  Yuri Rassovsky,et al.  Brain and cognitive reserve: Mediator(s) and construct validity, a critique , 2011, Journal of clinical and experimental neuropsychology.

[10]  Hans-Jochen Heinze,et al.  Experience-dependent plasticity of white-matter microstructure extends into old age , 2010, Neuropsychologia.

[11]  Andreas Engvig,et al.  Effects of memory training on cortical thickness in the elderly , 2010, NeuroImage.

[12]  D. Harvey,et al.  Measuring cognitive reserve based on the decomposition of episodic memory variance. , 2010, Brain : a journal of neurology.

[13]  Karen L. Siedlecki,et al.  Do neuropsychological tests have the same meaning in Spanish speakers as they do in English speakers? , 2010, Neuropsychology.

[14]  Yasuyuki Taki,et al.  Training of Working Memory Impacts Structural Connectivity , 2010, The Journal of Neuroscience.

[15]  Karen L. Siedlecki,et al.  Construct validity of cognitive reserve in a multiethnic cohort: The Northern Manhattan Study , 2009, Journal of the International Neuropsychological Society.

[16]  Dan M Mungas,et al.  Composite scores for executive function items: Demographic heterogeneity and relationships with quantitative magnetic resonance imaging , 2008, Journal of the International Neuropsychological Society.

[17]  A. Brickman,et al.  Brain morphology in older African Americans, Caribbean Hispanics, and whites from northern Manhattan. , 2008, Archives of neurology.

[18]  Yaakov Stern,et al.  Frequency and course of mild cognitive impairment in a multiethnic community , 2008, Annals of neurology.

[19]  Yaakov Stern,et al.  A common neural network for cognitive reserve in verbal and object working memory in young but not old. , 2008, Cerebral cortex.

[20]  R. B. Lipton,et al.  Education delays accelerated decline on a memory test in persons who develop dementia , 2007, Neurology.

[21]  D. Mungas,et al.  Do reading tests measure the same construct in multiethnic and multilingual older persons? , 2007, Journal of the International Neuropsychological Society.

[22]  J. Mortimer,et al.  Early-Life Risk Factors for Alzheimer Disease , 2006, Alzheimer disease and associated disorders.

[23]  R. Mayeux,et al.  Implementing diagnostic criteria and estimating frequency of mild cognitive impairment in an urban community. , 2005, Archives of neurology.

[24]  H. Sackeim,et al.  Brain networks associated with cognitive reserve in healthy young and old adults. , 2005, Cerebral cortex.

[25]  C. Petten Relationship between hippocampal volume and memory ability in healthy individuals across the lifespan: review and meta-analysis , 2004, Neuropsychologia.

[26]  R. Petersen Mild cognitive impairment as a diagnostic entity , 2004, Journal of internal medicine.

[27]  Yaakov Stern,et al.  Association of life activities with cerebral blood flow in Alzheimer disease: implications for the cognitive reserve hypothesis. , 2003, Archives of neurology.

[28]  Richard N. Jones,et al.  Racial bias in the assessment of cognitive functioning of older adults , 2003, Aging & mental health.

[29]  Y. Stern,et al.  Reading level attenuates differences in neuropsychological test performance between African American and White elders , 2002, Journal of the International Neuropsychological Society.

[30]  Y. Stern What is cognitive reserve? Theory and research application of the reserve concept , 2002, Journal of the International Neuropsychological Society.

[31]  Y. Stern,et al.  Influence of leisure activity on the incidence of Alzheimer’s Disease , 2001, Neurology.

[32]  E. Kaplan,et al.  Boston Naming Test , 2001 .

[33]  R. Costa,et al.  Incidence of AD in African-Americans, Caribbean Hispanics, and Caucasians in northern Manhattan , 2001, Neurology.

[34]  F. Bermejo,et al.  Estimation of Premorbid Intelligence in Spanish People with the Word Accentuation Test and Its Application to the Diagnosis of Dementia , 1997, Brain and Cognition.

[35]  C. Grady,et al.  Comparison of positron emission tomography, cognition, and brain volume in Alzheimer's disease with and without severe abnormalities of white matter. , 1996, Journal of neurology, neurosurgery, and psychiatry.

[36]  J. Haxby,et al.  The effect of white matter hyperintensity volume on brain structure, cognitive performance, and cerebral metabolism of glucose in 51 healthy adults , 1995, Neurology.

[37]  Bruce G. Link,et al.  Relationship between lifetime occupation and parietal flow , 1995, Neurology.

[38]  R. Mayeux,et al.  Influence of education and occupation on the incidence of Alzheimer's disease. , 1994, JAMA.

[39]  G. Alexander,et al.  Inverse relationship between education and parietotemporal perfusion deficit in Alzheimer's disease , 1992, Annals of neurology.

[40]  R. Mayeux,et al.  Diagnosis of dementia in a heterogeneous population. Development of a neuropsychological paradigm-based diagnosis of dementia and quantified correction for the effects of education. , 1992, Archives of neurology.

[41]  B. Horwitz,et al.  Method for quantification of brain, ventricular, and subarachnoid CSF volumes from MR images. , 1992, Journal of computer assisted tomography.

[42]  Robert J. Duffy,et al.  Book Review: The Assessment of Aphasia and Related Disorders , 1985 .

[43]  M. Folstein,et al.  Clinical diagnosis of Alzheimer's disease , 1984, Neurology.

[44]  W. Obrist,et al.  Regional cerebral blood flow estimated by 133-xenon inhalation. , 1975, Stroke.

[45]  HERMAN BUSCHKE,et al.  Evaluating storage, retention, and retrieval in disordered memory and learning , 1974, Neurology.

[46]  G. Schumacher Critique of experimental trials of therapy in multiple sclerosis , 1974, Neurology.

[47]  E. Kaplan,et al.  The assessment of aphasia and related disorders , 1972 .

[48]  A. Burns Clinical diagnosis of Alzheimer's disease , 1991 .