Abstract
Clinical neuropsychology lacks tests of basic visuoperceptual and spatial skills that have well-controlled administration and sophisticated measurement methods. Items from the Visual Assessment Battery (VAB), a simultaneous match-to-sample task, assessed visual discrimination in 40 healthy adults aged 51–91 during fMRI. The tasks were designed to isolate discrimination of either location, shape, or velocity, and they each had three levels of difficulty. The Location task uniquely activated the dorsal visual processing stream, the Shape task the ventral stream, and the Velocity task an area encompassing V5. Greater age was associated with greater neural recruitment, particularly in frontal areas. Behaviorally, greater age was associated with prolonged response times, but not reduced accuracy. Increased difficulty was associated with slower responses and reduced accuracy, regardless of age. Results validated the specialization of brain regions for spatial, perceptual, and movement discriminations and the use of the VAB to assess functioning localized to these regions. Visual discrimination ability does not change dramatically with age, but like many cognitive processes, performance slows. Anterior neural recruitment during visual discrimination increases with age.
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Ansado, J., Monchi, O., Ennabil, N., Faure, S., & Joanette, Y. (2012). Load-dependent posterior-anterior shift in aging in complex visual selective attention situations. Brain Research, 1454, 14–22.
Antal, A., Nitsche, M. A., Kruse, W., Kincses, T. Z., Hoffmann, K. P., & Paulus, W. (2004). Direct current stimulation over V5 enhances visuomotor coordination by improving motion perception in humans. Journal of Cognitive Neuroscience, 16(4), 521–527. https://doi.org/10.1162/089892904323057263.
Benton, A. L., Varney, N. R., & Hamsher, K. D. (1978). Visuospatial judgment. A clinical test. Archives of Neurology, 35(6), 364–367 Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/655909.
Benton, A. L., Sivan, A. B., Hamsher, K. D., Varney, N. R., & Spreen, O. (1983). Contribution to neuropsychological assessment. New York: Oxford University Press.
Berlingeri, M., Danelli, L., Bottini, G., Sberna, M., & Paulesu, E. (2013). Reassessing the HAROLD model: Is the hemispheric asymmetry reduction in older adults a special case of compensatory-related utilisation of neural circuits? Experimental Brain Research, 224(3), 393–410. https://doi.org/10.1007/s00221-012-3319-x.
Born, R. T., & Bradley, D. C. (2005). Structure and function of visual area MT. Annual Review of Neuroscience, 28, 157–189.
Brickman, A. M., Khan, U. A., Provenzano, F. A., Yeung, L. K., Suzuki, W., Schroeter, H., Wall, M., Sloan, R. P., & Small, S. A. (2014). Enhancing dentate gyrus function with dietary flavanols improves cognition in older adults. Nature Neuroscience, 17(12), 1798–1803. https://doi.org/10.1038/nn.3850.
Cabeza, R., Daselaar, S. M., Dolcos, F., Prince, S. E., Budde, M., & Nyberg, L. (2004). Task-independent and task-specific age effects on brain activity during working memory, visual attention and episodic retrieval. Cerebral Cortex, 14(4), 364–375 Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/15028641.
Cattell, R. B. (1987). Intelligence: Its structure, growth and action. Amterdam: North-Holland.
Chapman, H., Gavrilescu, M., Wang, H., Kean, M., Egan, G., & Castiello, U. (2002). Posterior parietal cortex control of reach-to-grasp movements in humans. The European Journal of Neuroscience, 15(12), 2037–2042.
Cushman, L. A., Stein, K., & Duffy, C. J. (2008). Detecting navigational deficits in cognitive aging and Alzheimer disease using virtual reality. Neurology, 71(12), 888–895. https://doi.org/10.1212/01.wnl.0000326262.67613.fe.
De Bruyn, B., & Orban, G. A. (1988). Human velocity and direction discrimination measured with random dot patterns. Vision Research, 28(12), 1323–1335 Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/3256150.
Devlin, J. T., & Price, C. J. (2007). Perirhinal contributions to human visual perception. Current Biology, 17(17), 1484–1488.
DeYoe, E. A., & Van Essen, D. C. (1988). Concurrent processing streams in monkey visual cortex. Trends in Neurosciences, 11(5), 219–226 Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/2471327.
Dwolatzky, T., Whitehead, V., Doniger, G. M., Simon, E. S., Schweiger, A., Jaffe, D., & Chertkow, H. (2004). Validity of the mindstreams computerized cognitive battery for mild cognitive impairment. Journal of Molecular Neuroscience, 24(1), 33–44. https://doi.org/10.1385/jmn:24:1:033.
Ellison, A., & Cowey, A. (2006). TMS can reveal contrasting functions of the dorsal and ventral visual processing streams. Experimental Brain Research, 175(4), 618–625. https://doi.org/10.1007/s00221-006-0582-8.
Grady, C. L., Maisog, J. M., Horwitz, B., Ungerleider, L. G., Mentis, M. J., Salerno, J. A., et al. (1994). Age-related changes in cortical blood flow activation during visual processing of faces and location. Journal of Neuroscience, 14(3 Pt 2), 1450–1462 Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/8126548.
Grady, C. L., McIntosh, A. R., Bookstein, F., Horwitz, B., Rapoport, S. I., & Haxby, J. V. (1998). Age-related changes in regional cerebral blood flow during working memory for faces. Neuroimage, 8, 409–425.
Hedden, T., & Gabrieli, J. D. (2004). Insights into the ageing mind: A view from cognitive neuroscience. Nature Reviews. Neuroscience, 5(2), 87–96. https://doi.org/10.1038/nrn1323.
Jackson, G. R., & Owsley, C. (2003). Visual dysfunction, neurodegenerative diseases, and aging. Neurologic Clinics, 21(3), 709–728 Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/13677819.
Jiang, X., Bradley, E., Rini, R. A., Zeffiro, T., Vanmeter, J., & Riesenhuber, M. (2007). Categorization training results in shape- and category-selective human neural plasticity. Neuron, 53(6), 891–903. https://doi.org/10.1016/j.neuron.2007.02.015.
Kline, D. W., Kline, T. J. B., Fozard, J. L., Kosnik, W., Schieber, F., & Sekuler, R. (1992). Vision, aging, and driving: The problems of older drivers. Journal of Gerontology: Psychological Sciences, 47(1), 27–34.
Kolster, H., Peeters, R., & Orban, G. A. (2010). The retinotopic organization of the human middle temporal area MT/V5 and its cortical neighbors. The Journal of Neuroscience, 30(29), 9801–9820.
Konishi, S., Nakajima, K., Uchida, I., Kameyama, M., Nakahara, K., Sekihara, K., & Miyashita, Y. (1998). Transient activation of inferior prefrontal cortex during cognitive set shifting. Nature Neuroscience, 1, 80–84.
Kosnik, W., Winslow, L., Kline, D., Rasinski, K., & Sekuler, R. (1988). Visual changes in daily life throughout adulthood. Journal of Gerontology: Psychological Sciences, 43(3), 63–70.
KyberVision Japan LLC. (2006-2016). Psykinematix, Retrieved from http://psykinematix.com/index.html.
Lamb, D. G., Correa, L. N., Seider, T. S., Mosquera, D. M., Rodriguez, J. A., Salazar, L., et al. (2016). The aging brain: Movement speed and spatial control. Brain and Cognition, 109, 105–111.
Livingstone, M., & Hubel, D. (1988). Segregation of form, color, movement, and depth: Anatomy, physiology, and perception. Science, 240(4853), 740–749 Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/3283936.
Madden, D. J. (2007). Aging and visual attention. Current Directions in Psychological Science, 16(2), 70–74. https://doi.org/10.1111/j.1467-8721.2007.00478.x.
Madden, D. J., Spaniol, J., Whiting, W. L., Bucur, B., Provenzale, J. M., Cabeza, R., White, L. E., & Huettel, S. A. (2007). Adult age differences in the functional neuroanatomy of visual attention: A combined fMRI and DTI study. Neurobiology of Aging, 28(3), 459–476. https://doi.org/10.1016/j.neurobiolaging.2006.01.005.
Madden, D. J., Parks, E. L., Tallman, C. W., Boylan, M. A., Hoagey, D. A., Cocjin, S. B., et al. (2017). Frontoparietal activation during visual conjunction search: Effects of bottom-up guidance and adult age. Human Brain Mapping, 38, 2128–2149.
Mattay, V. S., Fera, F., Tessitore, A., Hariri, A. R., Berman, K. F., Das, S., Meyer-Lindenberg, A., Goldberg, T. E., Callicott, J. H., & Weinberger, D. R. (2006). Neurophysiological correlates of age-related changes in working memory capacity. Neuroscience Letters, 392(1–2), 32–37. https://doi.org/10.1016/j.neulet.2005.09.025.
Mishkin, M., Ungerleider, L. G., & Macko, K. A. (1983). Object vision and spatial vision: Two cortical pathways. Trends in Neuroscience, 6, 414–417.
Mishra, J., Rolle, C., & Gazzaley, A. (2015). Neural plasticity underlying visual perceptual learning in aging. Brain Research, 1612, 140–151. https://doi.org/10.1016/j.brainres.2014.09.009.
Nichols, T. E. (2012). Multiple testing corrections, nonparametric methods, and random field theory. Neuroimage, 62(2), 811–815. https://doi.org/10.1016/j.neuroimage.2012.04.014.
Orban, G. A., Fize, D., Peuskens, H., Denys, K., Nelissen, K., Sunaert, S., et al. (2003). Similarities and differences in motion processing between the human and macaque brain: evidence from fMRI. Neuropsychologia, 41(13), 1757–1768 Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/14527539.
Owsley, C. (2011). Aging and vision. Vision Research, 51(13), 1610–1622. https://doi.org/10.1016/j.visres.2010.10.020.
Pitcher, D., Charles, L., Devlin, J. T., Walsh, V., & Duchaine, B. (2009). Triple dissociation of faces, bodies, and objects in extrastriate cortex. Current Biology, 19(4), 319–324. https://doi.org/10.1016/j.cub.2009.01.007.
Possin, K. L. (2010). Visual spatial cognition in neurodegenerative disease. Neurocase, 16(6), 466–487. https://doi.org/10.1080/13554791003730600.
Reuter-Lorenz, P. A., & Cappell, K. A. (2008). Neurocognitive aging and the compensation hypothesis. Current Directions in Psychological Science, 17(3), 177–182.
Roijendijk, L., Farquhar, J., van Gerven, M., Jensen, O., & Gielen, S. (2013). Exploring the impact of target eccentricity and task difficulty on covert visual spatial attention and its implications for brain computer interfacing. PLoS One, 8(12), e80489. https://doi.org/10.1371/journal.pone.0080489.
Ryan, L., Cardoza, J. A., Barense, M. D., Kawa, K. H., Wallentin-Flores, J., Arnold, W. T., & Alexander, G. E. (2012). Age-related impairment in a complex object discrimination task that engages perirhinal cortex. Hippocampus, 22(10), 1978–1989. https://doi.org/10.1002/hipo.22069.
Salthouse, T. A. (1996). The processing-speed theory of adult age differences in cognition. Psychological Review, 103(3), 403–428.
Salthouse, T. A. (2000). Aging and measures of processing speed. Biological Psychology, 54, 35–54.
Schaie, K. W. (1996). Intellectual development in adulthood: The Seattle longitudinal study. Cambridge: Cambridge Univ. Press.
Shipp, S., & Zeki, S. (1985). Segregation of pathways leading from area V2 to areas V4 and V5 of macaque monkey visual cortex. Nature, 315(6017), 322–325 Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/2987702.
Silvanto, J., Schwarzkopf, D. S., Gilaie-Dotan, S., & Rees, G. (2010). Differing causal roles for lateral occipital cortex and occipital face area in invariant shape recognition. The European Journal of Neuroscience, 32(1), 165–171. https://doi.org/10.1111/j.1460-9568.2010.07278.x.
Sowell, E. R., Peterson, B. S., Thompson, P. M., Welcome, S. E., Henkenius, A. L., & Toga, A. W. (2003). Mapping cortical change across the human life span. Nature Neuroscience, 6(3), 309–315. https://doi.org/10.1038/nn1008.
Swearer, J. M., & Kane, K. J. (1996). Behavioral slowing with age: boundary conditions of the generalized slowing model. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 51(4), P189–P200 Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/8673640.
Talsma, D., Kok, A., & Ridderinkhof, K. R. (2006). Selective attention to spatial and non-spatial visual stimuli is affected differentially by age: Effects on event-related brain potentials and performance data. International Journal of Psychophysiology, 62(2), 249–261. https://doi.org/10.1016/j.ijpsycho.2006.04.006.
Ungerleider, L. G., & Mishkin, M. (1982). Two cortical visual systems. In D. J. Ingle, M. A. Goodale, & R. J. W. Mansfield (Eds.), Analysis of visual behavior (pp. 549–586). Cambridge: The MIT Press.
Van Zandt, T. (2002). Analysis of response time distributions. In J. Wixted (Ed.), Stevens' handbook of experimental psychology (4th ed.). New York: John Wiley and Sons, Inc..
Woo, C. W., Krishnan, A., & Wager, T. D. (2014). Cluster-extent based thresholding in fMRI analyses: Pitfalls and recommendations. Neuroimage, 91, 412–419. https://doi.org/10.1016/j.neuroimage.2013.12.058.
Zachariou, V., Klatzky, R., & Mehrmann, M. (2013). Ventral and dorsal visual stream contributions to the perception of object shape and object location. Journal of Cognitive Neuroscience, 26(1), 189–209.
Zanon, M., Busan, P., Monti, F., Pizzolato, G., & Battaglini, P. P. (2010). Cortical connections between dorsal and ventral visual streams in humans: Evidence by TMS/EEG co-registration. Brain Topography, 22(4), 307–317. https://doi.org/10.1007/s10548-009-0103-8.
Zeki, S., Watson, J. D., Lueck, C. J., Friston, K. J., Kennard, C., & Frackowiak, R. S. (1991). A direct demonstration of functional specialization in human visual cortex. Journal of Neuroscience, 11(3), 641–649 Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/2002358.
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Research was supported by the National Institute of Health (Grant 5 T32 AG 020499-12), the McKnight Brain Research Foundation, and CAM-CTRP.
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Seider, T.R., Porges, E.C., Woods, A.J. et al. An fMRI study of age-associated changes in basic visual discrimination. Brain Imaging and Behavior 15, 917–929 (2021). https://doi.org/10.1007/s11682-020-00301-x
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DOI: https://doi.org/10.1007/s11682-020-00301-x