Patterns of cognitive function in aging: the Rotterdam Study
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Aad van der Lugt | Yoo Young Hoogendam | Albert Hofman | Mohammad Arfan Ikram | Jos N. van der Geest | A. Hofman | A. Lugt | M. Ikram | J. V. D. Geest | Y. Y. Hoogendam | J. N. Geest | A. Hofman
[1] A. Hofman,et al. The Rotterdam Scan Study: design update 2016 and main findings , 2015, European Journal of Epidemiology.
[2] T. Hedden,et al. Meta-analysis of amyloid-cognition relations in cognitively normal older adults , 2013, Neurology.
[3] M. Glymour,et al. Is cognitive aging predicted by one's own or one's parents' educational level? results from the three-city study. , 2012, American journal of epidemiology.
[4] Monique M. B. Breteler,et al. Trends in stroke incidence rates and stroke risk factors in Rotterdam, the Netherlands from 1990 to 2008 , 2012, European Journal of Epidemiology.
[5] A. Dufour,et al. What do we know about aging and spatial cognition? Reviews and perspectives , 2012, Ageing Research Reviews.
[6] M. Albert. Changes in cognition , 2011, Neurobiology of Aging.
[7] D. Bennett,et al. Cognitive decline in the elderly: an analysis of population heterogeneity. , 2011, Age and ageing.
[8] K. Nakashima,et al. [The Rotterdam study]. , 2011, Nihon rinsho. Japanese journal of clinical medicine.
[9] M. Arfan Ikram,et al. The Rotterdam Study: 2012 objectives and design update , 2011, European journal of epidemiology.
[10] K. Schaie,et al. Cohort differences in cognitive aging and terminal decline in the Seattle Longitudinal Study. , 2011, Developmental psychology.
[11] E. Tucker-Drob,et al. Global and domain-specific changes in cognition throughout adulthood. , 2011, Developmental psychology.
[12] A. Pfefferbaum,et al. Quantitative fiber tracking of lateral and interhemispheric white matter systems in normal aging: Relations to timed performance , 2010, Neurobiology of Aging.
[13] Wiro J. Niessen,et al. Brain tissue volumes in relation to cognitive function and risk of dementia , 2010, Neurobiology of Aging.
[14] R. Marioni,et al. Age-associated cognitive decline. , 2009, British medical bulletin.
[15] J. Morris,et al. Longitudinal study of the transition from healthy aging to Alzheimer disease. , 2009, Archives of neurology.
[16] Wiro J Niessen,et al. White matter microstructural integrity and cognitive function in a general elderly population. , 2009, Archives of general psychiatry.
[17] D. K. Johnson,et al. Cognitive profiles in dementia , 2008, Neurology.
[18] Wiro J. Niessen,et al. Brain tissue volumes in the general elderly population The Rotterdam Scan Study , 2008, Neurobiology of Aging.
[19] Monique M. B. Breteler,et al. The Rotterdam Study: 2016 objectives and design update , 2015, European Journal of Epidemiology.
[20] N. Pedersen,et al. Age changes in processing speed as a leading indicator of cognitive aging. , 2007, Psychology and aging.
[21] N. Pedersen,et al. Cohort differences in trajectories of cognitive aging. , 2007, The journals of gerontology. Series B, Psychological sciences and social sciences.
[22] N. Raz,et al. Differential Aging of the Brain: Patterns, Cognitive Correlates and Modifiers , 2022 .
[23] A. Pfefferbaum,et al. Diffusion tensor imaging and aging , 2006, Neuroscience & Biobehavioral Reviews.
[24] Sophie Schwartz,et al. Role of frontal versus temporal cortex in verbal fluency as revealed by voxel-based lesion symptom mapping , 2006, Journal of the International Neuropsychological Society.
[25] William D S Killgore,et al. Development and Validation of the Design Organization Test (DOT): A Rapid Screening Instrument for Assessing Visuospatial Ability , 2005, Journal of clinical and experimental neuropsychology.
[26] D. Harvey,et al. Measures of brain morphology and infarction in the framingham heart study: establishing what is normal , 2005, Neurobiology of Aging.
[27] H. Christensen,et al. White matter hyperintensities are related to physical disability and poor motor function , 2005, Journal of Neurology, Neurosurgery & Psychiatry.
[28] R. Buckner. Memory and Executive Function in Aging and AD Multiple Factors that Cause Decline and Reserve Factors that Compensate , 2004, Neuron.
[29] Peter Brugger,et al. Pervasive influence of semantics in letter and category fluency: A multidimensional approach , 2003, Brain and Language.
[30] D. A. Bennett,et al. Natural history of mild cognitive impairment in older persons , 2002, Neurology.
[31] R. Mohs,et al. Consortium to establish a registry for Alzheimer's disease (CERAD) clinical and neuropsychological assessment of Alzheimer's disease. , 2002, Psychopharmacology bulletin.
[32] A. Herlitz,et al. Sex Differences in Episodic Memory: The Influence of Intelligence , 2002, Journal of clinical and experimental neuropsychology.
[33] B. Reed,et al. Application of item response theory for development of a global functioning measure of dementia with linear measurement properties. , 2000, Statistics in medicine.
[34] S Hale,et al. Converging evidence that visuospatial cognition is more age-sensitive than verbal cognition. , 2000, Psychology and aging.
[35] A. Hofman,et al. Prevalence, treatment, and control of hypertension by sociodemographic factors among the Dutch elderly. , 2000, Hypertension.
[36] T. Erkinjuntti,et al. Heterogeneity of congnitive profiles in aging: successful aging, normal aging, and individuals at risks for cognitive decline , 1999 .
[37] M. Albert,et al. Change in cognitive function in older persons from a community population: relation to age and Alzheimer disease. , 1999, Archives of neurology.
[38] A. Herlitz,et al. Gender differences in episodic memory , 1997, Memory & cognition.
[39] I. Deary,et al. Age-associated cognitive decline in healthy old people. , 1997, Age and ageing.
[40] T. Salthouse. The processing-speed theory of adult age differences in cognition. , 1996, Psychological review.
[41] N. Butters,et al. The Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Part V. A normative study of the neuropsychological battery , 1994, Neurology.
[42] S. M. Sumi,et al. The Consortium to Establish a Registry for Alzheimer's Disease (CERAD) , 1991, Neurology.
[43] J Agnew,et al. Age-related sex differences in verbal memory. , 1988, Journal of clinical psychology.
[44] S. Folstein,et al. “Mini-mental state”: A practical method for grading the cognitive state of patients for the clinician , 1975 .
[45] J. Tiffin,et al. The Purdue pegboard; norms and studies of reliability and validity. , 1948, The Journal of applied psychology.
[46] Ian J Deary,et al. Are processing speed tasks biomarkers of cognitive aging? , 2010, Psychology and aging.
[47] Thomas J. Bouchard,et al. Still just 1 g: Consistent results from five test batteries , 2008 .
[48] W. Sturm,et al. Neuropsychological assessment , 2007, Journal of Neurology.
[49] T. Erkinjuntti,et al. Heterogeneity of cognitive profiles in aging: successful aging, normal aging, and individuals at risk for cognitive decline. , 1999, European journal of neurology.
[50] J. Jolles,et al. Stroop interference: aging effects assessed with the Stroop Color-Word Test. , 1993, Experimental aging research.
[51] Virgil G Mathiowetz,et al. The Purdue Pegboard , 1986 .