Investigating quantity processing and inhibition in ageing with the number Stroop 1Jade E Norris, 2Kevin J Riggs, & 2Julie Castronovo 1Department of Psychology, Swansea University 2Department of Psychology, University of Hull J.E.Norris@Swansea.ac.uk
Ageing and cognition Cognitive decline: processing speed, memory, reasoning, executive functions, inhibition (Hasher & Zacks, 1988; Salthouse, 1996) General knowledge, verbal, & numerical abilities may be preserved (Christensen, 2001) Mathematical problem solving: mixed conclusions- reduced flexibility in choosing effective strategies (Duverne & Lemaire, 2004; Lemaire & Arnaud, 2008) Or, preserved/enhanced maths skills in ageing (Cappelletti et al., 2014; Norris et al., 2015)
Basic numerical processing in ageing Approximate numerical abilities may be preserved in ageing (Cappelletti et al., 2014; Norris et al., 2015) Symbolic and non-symbolic Distance/ratio effect Norris et al. (2015): Higher accuracy & reduced distance effect = more embedded symbolic skills in older age? 67 Norris et al., 2015 4 7 Cappelletti et al., 2014
Number Stroop in ageing Symbolic comparison task: easy? = ceiling effects? Number stroop: Numerical AND physical size Increased interference & preserved distance effects in AD and MCI (Girelli et al., 2001; Kaufmann et al., 2008) Preserved quantity processing (Lambrechts et al., 2013) Older adults-> poorer inhibition (Hasher & Zacks, 1988) -> stronger interference effects, BUT-> nature of interference may be mediated by quantity type 2 7
Quantity processing: shared or unique systems? ‘A Theory of Magnitude’ (ATOM)- links between quantity processes (e.g. number, size, duration) exist due to collective requirement for action (Bueti & Walsh, 2009; Walsh, 2003) Several quantity processes maintained in ageing (Lambrechts et al., 2013) = support for ATOM? Preserved numerical & declined duration processing (Dormal et al., 2012) = evidence of separate systems? Number Stroop simultaneously measures numerical and physical size processing 8
Methods: number Stroop (Cohen Kadosh et al., 2008) Numerical and Physical Distances: 1, 2, and 5 48 trials per congruency condition = 144 trials total Neutral Congruent Incongruent Numerical: 2 7 Physical: 7 7 2 7
Methods 114 younger adults (18-25; Mage = 20, SD = 1.5) 62 older adults (60-75; Mage = 66, SD = 4) Mini-Mental State Exam (MMSE: Folstein et al., 1975) Geriatric Depression Scale (GDS: Yesavage et al., 1982; Kaufmann et al., 2008) Exclusions 8 older adults (2x MMSE <27, 6x GDS >5) 2 younger adults for GDS >5, 2 for failing to complete the testing session, and 1 from the physical task (7% accuracy) = 176 for the numerical task, and 175 for the physical task
Age group x task type x congruency Numerical task fastest Interference effects Task*congruency: F = 50.69, p < .001
Physical task (Age group x distance x congruency) 7 7 Neutral excluded (Henik & Tzelgov, 1982) No main effect of distance Congruency*distance: F = 66.54, p < .001 Distance*age: F = 2.74, p = .066
Numerical task (Age group x distance x congruency) Typical distance effect Congruency*distance: F = 59.131, p < .001 Congruency*age: F = 4.017, p < .05 greater interference in ageing
Numerical task continued… Congruency*distance*age: F = 5.998, p < .001 Young Old
Working interpretations & conclusions Preserved numerical and continuous quantity processing in ageing (ATOM: Walsh, 2003) Stronger interference effects in ageing only during numerical task = increased influence of continuous quantity on numerical judgements (Cappelletti et al., 2014, 2015, Lambrechts et al., 2013) Equalising congruent trials = no facilitation + no neutral distance? (Dixon & Just, 1978; Henik & Tzelgov, 1982) Physical size differences too small? 0.2º 7 2 7 2
Thank you
Bueti, D., & Walsh, V. (2009). The parietal cortex and the representation of time, space, number and other magnitudes. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 364(1525), 1831–1840. http://doi.org/10.1098/rstb.2009.0028 Cappelletti, M., Didino, D., Stoianov, I., & Zorzi, M. (2014). Number skills are maintained in healthy ageing. Cognitive Psychology, 69, 25–45. http://doi.org/10.1016/j.cogpsych.2013.11.004 Cappelletti, M., Pikkat, H., Upstill, E., Speekenbrink, M., & Walsh, V. (2015). Learning to Integrate versus Inhibiting Information Is Modulated by Age. Journal of Neuroscience, 35(5), 2213–2225. http://doi.org/10.1523/JNEUROSCI.1018-14.2015 Christensen, H. (2001). What cognitive changes can be expected with normal ageing? Australian and New Zealand Journal of Psychiatry, 35(6), 768–775. http://doi.org/10.1046/j.1440-1614.2001.00966.x Cohen Kadosh, R., Henik, A., & Rubinsten, O. (2008). Are Arabic and verbal numbers processed in different ways? Journal of Experimental Psychology: Learning, Memory, and Cognition, 34(6), 1377–1391. http://doi.org/10.1037/a0013413 Dixon, P., & Just, M. A. (1978). Normalization of irrelevant dimensions in stimulus comparisons. Journal of Experimental Psychology: Human Perception and Performance, 4(1), 36–46. http://doi.org/10.1037/0096-1523.4.1.36 Dormal, V., Grade, S., Mormont, E., & Pesenti, M. (2012). Dissociation between numerosity and duration processing in aging and early Parkinson’s disease. Neuropsychologia, 50(9), 2365–2370. http://doi.org/10.1016/j.neuropsychologia.2012.06.006 Duverne, S., & Lemaire, P. (2004). Age-Related Differences in Arithmetic Problem-Verification Strategies. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 59(3), P135–P142. http://doi.org/10.1093/geronb/59.3.P135 Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). “Mini-mental state”: A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12(3), 189–198. http://doi.org/10.1016/0022-3956(75)90026-6 Girelli, L., Sandrini, M., Cappa, S., & Butterworth, B. (2001). Number-stroop performance in normal aging and Alzheimer’s-type dementia. Brain and Cognition, 46(1–2), 144–149. http://doi.org/10.1016/S0278-2626(01)80053-1 Hasher, L., & Zacks, R. T. (1988). Working Memory, Comprehension, and Aging: A Review and a New View. In G. H. Bower (Ed.), Psychology of Learning and Motivation (Vol. 22, pp. 193–225). Academic Press. Retrieved from http://www.sciencedirect.com/science/article/pii/S0079742108600419 Henik, A., & Tzelgov, J. (1982). Is three greater than five: The relation between physical and semantic size in comparison tasks. Memory & Cognition, 10(4), 389–395. http://doi.org/10.3758/BF03202431 Kaufmann, L., Ischebeck, A., Weiss, E., Koppelstaetter, F., Siedentopf, C., Vogel, S. E., … Wood, G. (2008). An fMRI study of the numerical Stroop task in individuals with and without minimal cognitive impairment. Cortex, 44(9), 1248–1255. http://doi.org/10.1016/j.cortex.2007.11.009 Lambrechts, A., Karolis, V., Garcia, S., Obende, J., & Cappelletti, M. (2013). Age does not count: resilience of quantity processing in healthy ageing. Frontiers in Psychology, 4. http://doi.org/10.3389/fpsyg.2013.00865 Lemaire, P., & Arnaud, L. (2008). Young and Older Adults’ Strategies in Complex Arithmetic. The American Journal of Psychology, 121(1), 1–16. http://doi.org/10.2307/20445440 Norris, J. E., McGeown, W. J., Guerrini, C., & Castronovo, J. (2015). Aging and the number sense: preserved basic non-symbolic numerical processing and enhanced basic symbolic processing. Frontiers in Psychology, 6, 999. http://doi.org/10.3389/fpsyg.2015.00999 Salthouse, T. A. (1996). The processing-speed theory of adult age differences in cognition. Psychological Review, 103(3), 403–428. http://doi.org/10.1037/0033-295X.103.3.403 Walsh, V. (2003). A theory of magnitude: common cortical metrics of time, space and quantity. Trends in Cognitive Sciences, 7(11), 483–488. http://doi.org/10.1016/j.tics.2003.09.002 Yesavage, J. A., Brink, T. L., Rose, T. L., Lum, O., Huang, V., Adey, M., & Leirer, V. O. (1982). Development and validation of a geriatric depression screening scale: A preliminary report. Journal of Psychiatric Research, 17(1), 37–49. http://doi.org/10.1016/0022-3956(82)90033-4
Cohen Kadosh et al. (2007): high cognitive load -> numerical & continuous processes activated in parallel = distinct AND shared magnitude systems possible, but mediated by cognitive load