Hostname: page-component-78c5997874-mlc7c Total loading time: 0 Render date: 2024-11-04T21:01:24.123Z Has data issue: false hasContentIssue false

Response bias and aging on a recognition memory task

Published online by Cambridge University Press:  23 January 2006

TERRI J. HUH
Affiliation:
Departments of Psychiatry and Neurology, Memory and Aging Center, University of California San Francisco, California
JOEL H. KRAMER
Affiliation:
Departments of Psychiatry and Neurology, Memory and Aging Center, University of California San Francisco, California
ADAM GAZZALEY
Affiliation:
Departments of Psychiatry and Neurology, Memory and Aging Center, University of California San Francisco, California
DEAN C. DELIS
Affiliation:
Department of Psychiatry, School of Medicine, University of California San Diego, San Diego, California

Abstract

Response bias reflects the decision rule an individual uses when faced with uncertainty on recognition memory tasks. Recent studies indicate frontal regions may mediate response bias performance. One theory of aging also implicates frontal lobe contributions in age-related cognitive changes. This suggests that frontal lobe changes may mediate response bias in older adults. Consistent with this frontal aging hypothesis, we predicted that response bias would become more liberal with age. Methods: Participants were 181 younger (30–49) and 112 older normal adults (75+) that were part of the California Verbal Learning Test-second edition (CVLT-2) normative sample (total n = 1078). We used parametric measures of discriminability and response bias provided by the CVLT-2 scoring program. Groups were similar in IQ and education. Multi-level regression models were created to examine the effects of moderating variables. The interaction between age and age group significantly predicted response bias. Post hoc analysis indicated that increasing age was associated with more liberal bias in the older but not in the younger group. In the light of reported relationships between frontal regions and both aging and response bias, we hypothesize that frontal changes may be the underlying mechanism explaining the increase in liberal response bias with age. (JINS, 2006, 12, 1–7.)

Type
Research Article
Copyright
© 2006 The International Neuropsychological Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Alexander, M.P., Stuss, D.T., & Fansabedian, N. (2003). California Verbal Learning Test: Performance by patients with focal frontal and non-frontal lesions. Brain, 126(Pt 6), 14931503.Google Scholar
Baddeley, A. & Wilson, B. (1988). Frontal amnesia and the dysexecutive syndrome. Brain Cognition, 7, 212230.Google Scholar
Baldo, J.V., Delis, D., Kramer, J., & Shimamura, A.P. (2002). Memory performance on the California Verbal Learning Test-II: Findings from patients with focal frontal lesions. Journal of the International Neuropsychological Society, 8, 539546.Google Scholar
Bastin, C. & Van der Linden, M. (2003). The contribution of recollection and familiarity to recognition memory: A study of the effects of test format and aging. Neuropsychology, 17, 1424.Google Scholar
Bechara, A. (2001). Neurobiology of decision-making: Risk and reward. Seminars in Clinical Neuropsychiatry, 6, 205216.Google Scholar
Buckner, R.L. (2004). Memory and executive function in aging and AD: Multiple factors that cause decline and reserve factors that compensate. Neuron, 44, 195208.Google Scholar
Buckner, R.L., Kelley, W.M., & Petersen, S.E. (1999). Frontal cortex contributes to human memory formation. Nature Neuroscience, 2, 311314.Google Scholar
Buckner, R.L., Raichle, M.E., Miezin, F.M., & Petersen, S.E. (1996). Functional anatomic studies of memory retrieval for auditory words and visual pictures. Journal of Neuroscience, 16, 62196235.Google Scholar
Chao, L.L. & Knight, R.T. (1997). Prefrontal deficits in attention and inhibitory control with aging. Cerebral Cortex, 7, 6369.Google Scholar
Curran, T., Schacter, D.L., Norman, K.A., & Galluccio, L. (1997). False recognition after a right frontal lobe infarction: Memory for general and specific information. Neuropsychologia, 35, 10351049.Google Scholar
Daum, I. & Mayes, A.R. (2000). Memory and executive function impairments after frontal or posterior cortex lesions. Behavioural Neurology, 12, 161173.Google Scholar
DeCarli, C., Massaro, J., Harvey, D., Hald, J., Tullberg, M., Au, R., et al. (2005). Measures of brain morphology and infarction in the Framingham Heart Study: Establishing what is normal. Neurobiology of Aging, 26, 491510.Google Scholar
Delis, D., Kramer, J., Kaplan, E., & Ober, B. (2000). CVLT-II California Verbal Learning Test, Second Edition, Adult Version. Psychological Corporation, a Harcourt Assessment Company.
Delis, D.C., Kramer, J.H., & Kaplan, E. (2001). Delis-Kaplan Executive Function System Examiner's Manual. The Psychological Corporation, a Harcourt Assessment Co.: San Antonio, TX.
Delis, D.C., Kramer, J.H., Kaplan, E., & Holdnack, J. (2004). Reliability and validity of the Delis-Kaplan Executive Function System: An update. Journal of the International Neuropsychological Society, 10, 301303.Google Scholar
Deweer, B., Lehericy, S., Pillon, B., Baulac, M., Chiras, J., Marsault, C., et al. (1995). Memory disorders in probable Alzheimer's disease: The role of hippocampal atrophy as shown with MRI. Journal of Neurology, Neurosurgery, and Psychiatry, 58, 590597.Google Scholar
Donaldson, W. (1992). Measuring recognition memory. Journal of Experimental Psychology. General, 121, 275277.Google Scholar
Elliott, R., Dolan, R.J., & Frith, C.D. (2000). Dissociable functions in the medial and lateral orbitofrontal cortex: Evidence from human neuroimaging studies. Cerebral Cortex, 10, 308317.Google Scholar
Ferris, S.H., Crook, T., Clark, E., McCarthy, M., & Rae, D. (1980). Facial recognition memory deficits in normal aging and senile dementia. Journal of Gerontology, 35, 707714.Google Scholar
Fletcher, P.C., Shallice, T., Frith, C.D., Frackowiak, R.S., & Dolan, R.J. (1998). The functional roles of prefrontal cortex in episodic memory. II. Retrieval. Brain, 121 (Pt 7), 12491256.Google Scholar
Flicker, C., Ferris, S.H., Crook, T., & Bartus, R.T. (1990). Impaired facial recognition memory in aging and dementia. Alzheimer Disease and Associated Disorders, 4, 4354.Google Scholar
Fulton, A. & Bartlett, J.C. (1991). Young and old faces in young and old heads: The factor of age in face recognition. Psychology and Aging, 6, 623630.Google Scholar
Grady, C.L., McIntosh, A.R., & Craik, F.I. (2003). Age-related differences in the functional connectivity of the hippocampus during memory encoding. Hippocampus, 13, 572586.Google Scholar
Gunning-Dixon, F.M. & Raz, N. (2000). The cognitive correlates of white matter abnormalities in normal aging: A quantitative review. Neuropsychology, 14, 224232.Google Scholar
Harkins, S.W., Chapman, C.R., & Eisdorfer, C. (1979). Memory loss and response bias in senescence. Journal of Gerontology, 34, 6672.Google Scholar
Haycock, J.W., Becker, L., Ang, L., Furukawa, Y., Hornykiewicz, O., & Kish, S.J. (2003). Marked disparity between age-related changes in dopamine and other presynaptic dopaminergic markers in human striatum. Journal of Neurochemistry, 87, 574585.Google Scholar
Hirshman, E. (1995). Decision processes in recognition memory: Criterion shifts and the list-strength paradigm. Journal of Experimental Psychology, Learning, Memory, and Cognition, 21, 302313.Google Scholar
Jacoby, L.L. (1999). Ironic effects of repetition: Measuring age-related differences in memory. Journal of Experimental Psychology, Learning, Memory, and Cognition, 25, 322.Google Scholar
Johnson, M.K., O'Connor, M., & Cantor, J. (1997). Confabulation, memory deficits, and frontal dysfunction. Brain and Cognition, 34, 189206.Google Scholar
Johnson, S.C., Saykin, A.J., Flashman, L.A., McAllister, T.W., & Sparling, M.B. (2001). Brain activation on fMRI and verbal memory ability: Functional neuroanatomic correlates of CVLT performance. Journal of the International Neuropsychological Society, 7, 5562.Google Scholar
Kramer, J.H., Rosen, H.J., Du, A.T., Schuff, N., Hollnagel, C., Weiner, M.W., Miller, B.L., & Delis, D.C. (2005). Dissociations in hippocampal and frontal contributions to episodic memory performance. Neuropsychology, 19, 799805.Google Scholar
Lamar, M., Yousem, D.M., & Resnick, S.M. (2004). Age differences in orbitofrontal activation: An fMRI investigation of delayed match and nonmatch to sample. NeuroImage, 21, 13681376.Google Scholar
MacPherson, S.E., Phillips, L.H., & Della Sala, S. (2002). Age, executive function, and social decision making: A dorsolateral prefrontal theory of cognitive aging. Psychology and Aging, 17, 598609.Google Scholar
Manes, F., Sahakian, B., Clark, L., Rogers, R., Antoun, N., Aitken, M., & Robbins, T. (2002). Decision-making processes following damage to the prefrontal cortex. Brain, 125(Pt 3), 624639.Google Scholar
Miller, M.B., Handy, T.C., Cutler, J., Inati, S., & Wolford, G.L. (2001). Brain activations associated with shifts in response criterion on a recognition test. Canadian Journal of Experimental Psychology, 55, 162173.Google Scholar
Miyake, A., Friedman, N.P., Emerson, M.J., Witzki, A.H., Howerter, A., & Wager, T.D. (2000). The unity and diversity of executive functions and their contributions to complex “Frontal Lobe” tasks: A latent variable analysis. Cognitive Psychology, 41, 49100.Google Scholar
Ongur, D., Ferry, A.T., & Price, J.L. (2003). Architectonic subdivision of the human orbital and medial prefrontal cortex. Journal of Comparative Neurology, 460, 425449.Google Scholar
Psychological Corporation, The (1999). The Wechsler Abbreviated Scale of Intelligence. San Antonio, TX: The Psychological Corporation, A Harcourt Brace and Company.
Park, D.C., Smith, A.D., Lautenschlager, G., Earles, J.L., Frieske, D., Zwahr, M., & Gaines, C.L. (1996). Mediators of long-term memory performance across the life span. Psychology and Aging, 11, 621637.Google Scholar
Rapp, P.R. & Heindel, W.C. (1994). Memory systems in normal and pathological aging. Current Opinion in Neurology, 7, 294298.Google Scholar
Ratcliff, G., Dodge, H., Birzescu, M., & Ganguli, M. (2003). Tracking cognitive functioning over time: Ten-year longitudinal data from a community-based study. Applied Neuropsychology, 10, 7688.Google Scholar
Raz, N., Gunning, F.M., Head, D., Dupuis, J.H., McQuain, J., Briggs, S.D., Loken, W.J., Thornton, A.E., & Acker, J.D. (1997). Selective aging of the human cerebral cortex observed in vivo: Differential vulnerability of the prefrontal gray matter. Cerebral Cortex, 7, 268282.Google Scholar
Raz, N., Rodrigue, K.M., Kennedy, K.M., Head, D., Gunning-Dixon, F., & Acker, J.D. (2003). Differential aging of the human striatum: Longitudinal evidence. American Journal of Neuroradiology, 24, 18491856.Google Scholar
Raz, N., Williamson, A., Gunning-Dixon, F., Head, D., & Acker, J.D. (2000). Neuroanatomical and cognitive correlates of adult age differences in acquisition of a perceptual-motor skill. Microscopy Research and Technique, 51, 8593.Google Scholar
Salat, D.H., Kaye, J.A., & Janowsky, J.S. (1999). Prefrontal gray and white matter volumes in healthy aging and Alzheimer disease. Archives of Neurology, 56, 338344.Google Scholar
Salat, D.H., Tuch, D.S., Greve, D.N., van der Kouwe, A.J., Hevelone, N.D., Zaleta, A.K., Rosen, B.R., Fischl, B., Corkin, S., Rosas, H.D., & Dale, A.M. (2005). Age-related alterations in white matter microstructure measured by diffusion tensor imaging. Neurobiology of Aging, 26, 12151227.Google Scholar
Schacter, D.L., Curran, T., Galluccio, L., Milberg, W.P., & Bates, J.F. (1996). False recognition and the right frontal lobe: A case study. Neuropsychologia, 34, 793808.Google Scholar
Shimamura, A.P. (2000). Toward a cognitive neuroscience of metacognition. Consciousness and Cognition, 9(Pt. 1), 313323; discussion 324–326.Google Scholar
Snodgrass, J.G. & Corwin, J. (1988). Pragmatics of measuring recognition memory: Applications to dementia and amnesia. Journal of Experimental Psychology. General, 117, 3450.Google Scholar
Swick, D. & Knight, R.T. (1999). Contributions of prefrontal cortex to recognition memory: Electrophysiological and behavioral evidence. Neuropsychology, 13, 155170.Google Scholar
Tekin, S. & Cummings, J.L. (2002). Frontal-subcortical neuronal circuits and clinical neuropsychiatry: An update. Journal of Psychosomatic Research, 53, 647654.Google Scholar
Trahan, D.E., Larrabee, G.J., & Levin, H.S. (1986). Age-related differences in recognition memory for pictures. Experimental Aging Research, 12, 147150.Google Scholar
Vakil, E., Mosak, C., & Ashkenazi, M. (2003). The effect of aging on script memory for typical and atypical actions. Applied Neuropsychology, 10, 239245.Google Scholar
Walton, M.E., Devlin, J.T., & Rushworth, M.F. (2004). Interactions between decision making and performance monitoring within prefrontal cortex. Nature Neuroscience, 7, 12591265.Google Scholar
West, R.L. (1996). An application of prefrontal cortex function theory to cognitive aging. Psychological Bulletin, 120, 272292.Google Scholar
Windmann, S., Urbach, T.P., & Kutas, M. (2002). Cognitive and neural mechanisms of decision biases in recognition memory. Cerebral Cortex, 12, 808817.Google Scholar