2016, Number 4
<< Back Next >>
Revista Cubana de Salud y Trabajo 2016; 17 (4)
Dynamic patterns of cognitive slowing in elder individuals: behavior splitting of the reaction time
Amador RFJ, Mayor RJH
Language: Spanish
References: 32
Page: 12-23
PDF size: 511.71 Kb.
ABSTRACT
Introduction: The cognitive slowing is considered the cardinal and earliest sign of the natural aging process. However, the reported results show certain ambiguity in the functional interpretation of its dynamic pattern.
Objectives: To design an automated procedure for cognitive evaluation to allow the behavior splitting of the reaction time in its central and peripheral components (Split Reaction Time Test) and describe the patterns of temporal change of cognitive slowing in elder individuals during the execution of controlled and automated processing tasks.
Method: 35 healthy elders were compared with 80 young controls using several discriminative reaction time tasks of increasing demands of decision difficulty and exactly the same demands of motor response. The groups were paired by similar academic levels, intellectual performance and anxiety and depression levels. The central and peripheral components of the reaction time were recorded separately as well as the errors.
Results: Elders showed a slowing pattern characterized by the interventions of at least two factors, one of additive general slowing consisting of an exclusive reduction of speed and the other one, multiplicative, related to complexity processing.
Conclusions: The observed dissociation suggests that the cognitive slowing in elders is modulated by the so-called general slowing factor that produces a general reduction of the processing speed and also, most likely by a second factor related to certain limitations in attention control mechanisms.
REFERENCES
Bashore TR. Age-related changes in mental processing revealed by analyses of event-related brain potentials. In Rohrbaugh J, Parasuraman R, Johnson Jr R, editors. Event-related brain potentials: Basic issues and applications. New York: Oxford University Press; 1990.p. 242-75.
Bashore TR, Ridderinkhof KR. Older Age, Traumatic Brain Injury and Cognitive Slowing: Some Convergent and Divergent Findings. Psychol Bull. 2002; 128(1):151-98.
Cerella J. Information processing rates in the erderly. Psychol Bull. 1985; 98(1): 67-83.
Salthouse TA. Theoretical perspective in cognitive aging. New York: Lawrence Erlbaum Associates; 1991
Salthouse TA. When does age-related cognitive decline begin? Neurobiol Aging. 2009; 30(4):507- 14.
Salthouse TA, Babcock RL. Decomposing adult age differences in working memory. Dev Psychol. 1991;26:128-36.
Verhaeghen P, Cerella J. Aging, executive control, and attention: A review of meta-analyses. Neurosci Biobehav Rev. 2002; 26: 849-57.
Fisk AD, Fisher DL, Rogers WA. General slowing alone cannot explain age-related search effects: Reply to Cerella (1991). J Exp Psychol Gen. 1992;21(1):73-8.
Band GH, Ridderinkhof KF, Segalowitz S. Explaining Neurocognitive Aging: Is one Factor Enough? Brain Cogn. 2002;49(3):259-67.
Verhaeghen P, Cerella J, Kara, LB, Chandramallika B. Aging and Varieties of Cognitive Control: A Review of Meta-Analyses on Resistance to Interference, Coordination, and Task Switching, and an Experimental Exploration of Age-Sensitivity in the Newly Identified Process of Focus Switching. In: Randall W, GrzegorzSedek E, Ulrich von Hecker, McIntosh DN, editors. Cognitive Limitations in Aging and Psychopathology. New York: Cambridge University Press; 2005. p.160-89.
Baudouin A, Vanneste S, Isingrini M. Age-related cognitive slowing: The role of spontaneous tempo and processing speed. Exp Aging Res. 2004;30 (3):225-9.
Bunce D. The Locus of Age × Health-Related Physical Fitness Interactions in Serial Choice Responding as a Function of Task Complexity: Central Processing or Motor Function? Exp Aging Res. 2001;27: 103-22.
Myerson J, Adams DR, Hale S, Jenkins L. Analysis of group differences in processing speed, Brinley plots, Q–Q plots, and other conspiracies. Psychon Bull Rev. 2003;10(1):224-37.
Perfect TJ. What can Brinley plots tell us about cognitive aging? J Gerontol. 1994;49(2):60-4.
Ratcliff R, Spieler D, McKoon G. Analysis of group differences in processing speed: Where are the models of processing? Psychon Bull Rev. 2004; 11(4):755-69.
Jensen AR. Methodological and Statistical Techniques for the Chronometric Study of Mental Abilities. In: Reynolds CR, Wilson VL, editors. Methodological and Statistical Advances in the Study of Individual Differences. New York: Plenum Press; 1983.
Klimkeit EI, Mattingley JB, Sheppard DM, Lee P, Bradshaw JL. Motor preparation, motor execution, attention, and executive functions in attention deficit/hyperactivity disorder (ADHD). Child Neuropsychol. 2005;11(2):153-73.
Bunce D, MacDonald SW, Hultsch DF. Inconsistency in serial choice decision and motor reaction time dissociate in younger and older adults. Brain Cogn. 2004;56(3):320-7.
Allain S, Carbonnell L, Burle B, Hasbroucq T, Vidal F. On-line executive control: An electromyographic study. Psychophysiol. 2004;41(1):113-6.
Zung, WW. A self-rating depression scale. Arch Gen Psychiatry. 1965;12:63-70.
Yesavage JA, Brink, TL, Rose TL, Lum O. Development and validation of a geriatric depression screening scale: a preliminary report. J Psychiatry Res. 1983;17(1):37-49.
González FM. Instrumentos para el estudio de la ansiedad y la depresión. En: Instrumentos de evaluación psicológica. La Habana: Editorial Ciencias Mé- dicas; 2007.p. 165-216.
Wechsler D. WAIS-R Manual. Wechsler Adult Intelligence Scale-Revised. New York: Psychological Corporation; 1981.
Moltó JM, Igual B, Pastor I, González-Aniorte R, Asensio M. Test de acentuación de palabras de González-Montalvo en una población sana. Rev Neurol. 1997;25(148):2062-3.
Mayor JH, Amador FJ, Ramírez I. La reserva cognitiva mejora la velocidad de procesamiento de los componentes centrales del TR en adultos mayores pero no en jóvenes. Revista Cubana de Salud y Trabajo. 2008; 9(1):7-18.
Amador FJ. Detección temprana de enlentecimiento cognitivo [tesis]. La Habana: Escuela Nacional de Salud Pública; 2010.
De Jong R. Adult age differences in in goal activation and goal maintenance. Europe J Cogn Psychol. 2001;13:71-90.
West R, Murphy KJ, Armilio ML, Craick FM, Stuss D. Lapsus of intention and performance variability reveal aged-related increases in fluctuations of executive control. Brain and Cognition. 2002;49:402-19.
Andrés P, Guerrini C, Phillips L, Perfect T. Differential Effects of Aging on Executive and Automatic Inhibition. Dev Neuropsychol. 2008;33(2): 101-23.
Fairfield B, Mammarella N. The role of Cognitive Operations in Reality Monitoring: A Study With Healthy Older Adults and Alzheimer’s-Type Dementia. Original TextJ Gen Psychol. 2009;136(1): 21-39.
Reuter-Lorenz PA, Cappell KA. Neurocognitive Aging and the Compensation Hypothesis. Curr Dir Psychol Sci. 2008;17(3):177-82.
Castellanos FX, Sonuga-Barke EJ, Scheres A, Di Martino A, Hyde C, Walters JR. Varieties of Attention-Deficit/Hyperactivity Disorder-Related IntraIndividual Variability. Biol Psychiatry. 2005;57(11): 1416-23.