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  • Print publication year: 2019
  • Online publication date: November 2019

Chapter 5 - Changes in Visuospatial, Visuoperceptual, and Navigational Ability in Aging


Aging-related changes in visual sensory processing, visual perception, and visuospatial cognition are well documented and contribute to substantial disability in the older adult population. This chapter reviews neuropsychological and neurobiological bases of disorders of face recognition, form perception, object recognition, mental/spatial imagery, spatial memory, and environmental navigation, and discusses how the aging process affects functional brain systems underlying these complex disorders.

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1.Blumenfeld, H. Neuroanatomy through Clinical Cases. Sunderland, MA: Sinauer Associates; 2018.
2.Monge, ZA, Madden, DJ. Linking cognitive and visual perceptual decline in healthy aging: the information degradation hypothesis. Neuroscience and Biobehavioral Reviews. 2016;69:166–73.
3.Andersen, GJ. Aging and vision: changes in function and performance from optics to perception. Wiley Interdisciplinary Reviews Cognitive Science. 2012;3(3):403–10.
4.Salvi, SM, Akhtar, S, Currie, Z. Ageing changes in the eye. Postgraduate Medical Journal. 2006;82:581–7.
5.Owsley, C. Vision and aging. Annual Review of Vision Science. 2016;2:255–71.
6.Marshall, J. The ageing retina: physiology or pathology. Eye (London). 1987;1:282–95.
7.van den Berg, TJTP, van Rijn, LJ, Kaper-Bongers, R, Vonhoff, DJ, Volker-Dieben, HJ, Grabner, G, et al. Disability glare in the aging eye: assessment and impact on driving. Journal of Optometry. 2009;2(3):112–18.
8.Spear, PD. Neural bases of visual deficits during aging. Vision Research. 1993;33(18):2589–609.
9.Coppinger, NW. The relationship between critical flicker frequency and chronologic age for varying levels of stimulus brightness. Journal of Gerontology. 1955;10(1):4852.
10.Moschner, C, Baloh, RW. Age-related changes in visual tracking. Journal of Gerontology. 1994;49(5):M235M238.
11.Lindenberger, U, Baltes, PB. Sensory functioning and intelligence in old age: a strong connection. Psychology and Aging. 1994;9(3):339–55.
12.Toner, CK, Reese, BE, Neargarder, S, Riedel, TM, Gilmore, GC, Cronin-Golomb, A. Vision-fair neuropsychological assessment in normal aging, Parkinson’s disease and Alzheimer’s disease. Psychology and Aging. 2012;27:785.
13.Boutet, I, Meinhardt-Injac, B. Age differences in face processing: the role of perceptual degradation and holistic processing. The Journals of Gerontology Series B, Psychological Sciences and Social Sciences, gbx172,
14.Chaby, L, Narme, P. Processing facial identity and emotional expression in normal aging and neurodegenerative diseases. Psychologie et Neuropsychiatrie du Vieillissement. 2009;7:3142.
15.Flicker, C, Ferris, SH, Crook, T, Bartus, RT. Impaired facial recognition memory in aging and dementia. Alzheimer Disease and Associated Disorders. 1990;4(1):4354.
16.Edmonds, EC, Glisky, EL, Bartlett, JC, Rapcsak, SZ. Cognitive mechanisms of false facial recognition in older adults. Psychology and Aging. 2012;27(1):5460.
17.Brickman, AM, Khan, UA, Provenzano, FA, Yeung, LK, Suzuki, W, Schroeter, H, et al. Enhancing dentate gyrus function with dietary flavanols improves cognition in older adults. Nature Neuroscience. 2014;12:1798–803.
18.Memon, A, Bartlett, J, Rose, R, Gray, C. The aging eyewitness: effects of age on face, delay, and source-memory ability. The Journals of Gerontology Series B, Psychological Sciences and Social Sciences. 2003;58(6):P338P345.
19.Maylor, EA. Recognizing and naming faces: aging, memory retrieval, and the tip of the tongue state. Journal of Gerontology. 1990;45(6):P215P226.
20.Smith, ML, Cottrell, GW, Gosselin, F, Schyns, PG. Transmitting and decoding facial expressions. Psychological Science. 2005;16:184–9.
21.Chaby, L, Narme, P, George, N. Older adults’ configural processing of faces: role of second-order information. Psychology and Aging. 2011;26(1):71–9.
22.Rossion, B. Picture-plane inversion leads to qualitative changes of face perception. Acta Psychologica. 2008;128:274–89.
23.Andersen, GJ, Atchley, P. Age-related differences in the detection of three-dimensional surfaces from optic flow. Psychology and Aging. 1995;21:7485.
24.Insel, N, Ruiz-Luna, ML, Permenter, M, Vogt, J, Erickson, CA, Barnes, CA. Aging in rhesus macaques is associated with changes in novelty preference and altered saccade dynamics. Behav Neurosci. 2008;122:1328–42.
25.Burke, SN, Barnes, CA. Senescent synapses and hippocampal circuit dynamics. Trends in Neurosciences. 2010;33:153–61.
26.Rapp, PR, Amaral, DG. Recognition memory deficits in a subpopulation of aged monkeys resemble the effects of medial temporal lobe damage. Neurobiology of Aging. 1991;12:481–6.
27.Shamy, JL, Buonocore, MH, Makaron, LM, Amaral, DG, Barnes, CA, Rapp, PR. Hippocampal volume is preserved and fails to predict recognition memory impairment in aged rhesus monkeys (Macaca mulatta). Neurobiology of Aging. 2006;27:1405–15.
28.Burke, SN, Maurer, AP, Nematollahi, S, Uprety, A, Wallace, JL, Barnes, CA. Advanced age dissociates dual functions of the perirhinal cortex. Journal of Neuroscience. 2014;34:467–80.
29.Liu, P, Gupta, N, Jing, Y, Zhang, H. Age-related changes in polyamines in memory-associated brain structures in rats. Neuroscience. 2008;155:789–96.
30.Burke, SN, Ryan, L, Barnes, CA. Characterizing cognitive aging of recognition memory and related processes in animal models and in humans. Frontiers in Aging Neuroscience. 2012;4(15):113.
31.Bartko, SJ, Winters, BD, Cowell, RA, Saksida, LM, Bussey, TJ. Perceptual functions of perirhinal cortex in rats: zero-delay object recognition and simultaneous oddity discriminations. Journal of Neuroscience. 2007;27:2548–59.
32.Bussey, TJ, Saksida, LM, Murray, EA. Impairments in visual discrimination after perirhinal cortex lesions: testing “declarative” vs. “perceptual-mnemonic” views of perirhinal cortex function. European Journal of Neuroscience. 2003;17:649–60.
33.Burke, SN, Wallace, JL, Hartzell, AL, Nematollahi, S, Plange, K, Barnes, CA. Age-associated deficits in pattern separation functions of the perirhinal cortex: a cross-species consensus. Behavioral Neuroscience. 2011;125:836–47.
34.Murray, EA, Bussey, TJ. Perceptual-mnemonic functions of the perirhinal cortex. Trends in Cognitive Sciences. 1999;3:142–51.
35.Rolls, ET, Treves, A. Neural Networks and Brain Function. New York: Oxford University Press; 1998.
36.Barense, MD, Rogers, TT, Bussey, TJ, Saksida, LM, Graham, KS. Influence of conceptual knowledge on visual object discrimination: insights from semantic dementia and MTL amnesia. Cerebral Cortex. 2010;20(11):2568–82.
37.Behrmann, M, Lee, AC, Geskin, JZ, Graham, KS, Barense, MD. Temporal lobe contribution to perceptual function: a tale of three patient groups. Neuropsychologia. 2016;90:3345.
38.Devlin, JT, Price, CJ. Perirhinal contributions to human visual perception. Current Biology: CB. 2007;17(17):1484–8.
39.Barense, MD, Henson, RN, Graham, KS. Perception and conception: temporal lobe activity during complex discriminations of familiar and novel faces and objects. Journal of Cognitive Neuroscience. 2011;23(10):3052–67.
40.Gaynor, LS, Curiel, RE, Penate, A, Rosselli, M, Burke, SN, Wicklund, M, et al. Visual object discrimination impairment as an early predictor of mild cognitive impairment and Alzheimer’s disease. Journal of the International Neuropsychological Society. 2019 May 21:1–11.Submitted.
41.Duara, R, Loewenstein, DA, Greig, MT, Potter, E, Barker, W, Raj, A, et al. Pre-MCI and MCI: neuropsychological, clinical, and imaging features and progression rates. The American Journal of Geriatric Psychiatry: Official Journal of the American Association for Geriatric Psychiatry. 2011;19(11):951–60.
42.Loewenstein, DA, Greig, MT, Schinka, JA, Barker, W, Shen, Q, Potter, E, et al. An investigation of PreMCI: subtypes and longitudinal outcomes. Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association. 2012;8(3):172–9.
43.Fidalgo, CO, Changoor, AT, Page-Gould, E, Lee, AC, Barense, MD. Early cognitive decline in older adults better predicts object than scene recognition performance. Hippocampus. 2016;26(12):1579–92.
44.Arriagada, PV, Marzloff, K, Hyman, BT. Distribution of Alzheimer-type pathologic changes in nondemented elderly individuals matches the pattern in Alzheimer’s disease. Neurology. 1992;42(9):1681–8.
45.Braak, H, Braak, E. Neuropathological stageing of Alzheimer-related changes. Acta Neuropathologica. 1991;82(4):239–59.
46.Khan, UA, Liu, L, Provenzano, FA, Berman, DE, Profaci, CP, Sloan, R, et al. Molecular drivers and cortical spread of lateral entorhinal cortex dysfunction in preclinical Alzheimer’s disease. Nature Neuroscience. 2014;17(2):304–11.
47.Olsen, RK, Yeung, LK, Noly-Gandon, A, D’Angelo, MC, Kacollja, A, Smith, VM, et al. Human anterolateral entorhinal cortex volumes are associated with cognitive decline in aging prior to clinical diagnosis. Neurobiology of Aging. 2017;57:195205.
48.Sone, D, Imabayashi, E, Maikusa, N, Okamura, N, Furumoto, S, Kudo, Y, et al. Regional tau deposition and subregion atrophy of medial temporal structures in early Alzheimer’s disease: a combined positron emission tomography/magnetic resonance imaging study. Alzheimer’s and Dementia. 2017;9:3540.
49.Huber, CM, Yee, C, May, T, Dhanala, A, Mitchell, CS. Cognitive decline in preclinical Alzheimer’s disease: amyloid-beta versus tauopathy. Journal of Alzheimer’s Disease: JAD. 2018;61(1):265–81.
50.Park, DC, Polk, TA, Park, R, Minear, M, Savage, A, Smith, MR. Aging reduces neural specialization in ventral visual cortex. Proceedings of the National Academy of Sciences of the United States of America. 2004;101(35):13091–5.
51.Park, DC, Reuter-Lorenz, P. The adaptive brain: aging and neurocognitive scaffolding. Annual Review of Psychology. 2009;60:173–96.
52.Reuter-Lorenz, PA, Park, DC. Human neuroscience and the aging mind: a new look at old problems. The Journals of Gerontology Series B, Psychological Sciences and Social Sciences. 2010;65(4):405–15.
53.Spence, I, Feng, J. Video games and spatial cognition. Review of General Psychology. 2010;14:92104.
54.Klencklen, G, Despres, O, Dufour, A. What do we know about aging and spatial cognition? Reviews and perspectives. Ageing Research Reviews. 2012;11(1):123–35.
55.Kosslyn, SM, Koenig, O, Barret, A, Cave, CB, Tang, J, Gabrieli, JDE. Evidence for two types of spatial representations: hemispheric specialization for categorical and coordinate relations. Journal of Experimental Psychology Human Perception and Performance. 1989;15:723–35.
56.Baumann, O, Mattingley, JB. Dissociable roles of the hippocampus and parietal cortex in processing of coordinate and categorical spatial information. Frontiers in Human Neuroscience. 2014;8:73.
57.Meadmore, KL, Dror, II, Bucks, RS. Lateralisation of spatial processing and age. Laterality. 2008;14:113.
58.Bruyer, R, Scailquin, J-C, Coibion, P. Dissociation between categorical and coordination spatial computations: modulation by cerebral hemispheres, tasks properties, mode of response, and age. Brain and Cognition. 1997;33:245–77.
59.Colombo, D, Serino, S, Tuena, C, Pedroli, E, Dakanalis, A, Cipresso, P, et al. Egocentric and allocentric spatial reference frames in aging: a systematic review. Neuroscience and Biobehavioral Reviews. 2017;80:605–21.
60.Zhang, H, Ekstrom, A. Human neural systems underlying rigid and flexible forms of allocentric spatial representation. Human Brain Mapping. 2013;34(5):1070–87.
61.Burgess, N. Spatial cognition and the brain. Annals of the New York Academy of Sciences. 2008;1124:7797.
62.Wolbers, T, Hegarty, M. What determines our navigational abilities? Trends in Cognitive Sciences. 2010;14(3):138–46.
63.Burgess, N. Spatial cognition and the brain. Annals of the New York Academy of Sciences. 2008;1124:7797.
64.Jager, G, Postma, A. On the hemispheric specialization for categorical and coordinate spatial relations: a review of the current evidence. Neuropsychologia. 2003;41(4):504–15.
65.Ruotolo, F, van der Ham, IJ, Iachini, T, Postma, A. The relationship between allocentric and egocentric frames of reference and categorical and coordinate spatial information processing. Quarterly Journal of Experimental Psychology. 2011;64:1138–56.
66.Lester, AW, Moffat, SD, Wiener, JM, Barnes, CA, Wolbers, T. The aging navigational system. Neuron. 2017;95(5):1019–35.
67.Lich, M, Bremmer, F. Self-motion perception in the elderly. Frontiers of Human Neuroscience. 2014;8:681.
68.Adamo, DE, Briceno, EM, Sindone, JA, Alexander, NB, Moffat, SD. Age differences in virtual environment and real world path integration. Frontiers in Aging Neuroscience. 2012;4:26.
69.Bates, SL, Wolbers, T. How cognitive aging affects multisensory integration of navigational cues. Neurobiology of Aging. 2014;35:2761–9.
70.Arshad, Q, Seemungal, BM. Age-related vestibular loss: current understanding and future research directions. Frontiers in Neurology. 2016;7:231.
71.Daugherty, AM, Yuan, P, Dahle, CL, Bender, AR, Yang, Y, Raz, N. Path complexity in virtual water maze navigation: differential associations with age, sex, and regional brain volume. Cerebral Cortex. 2015;25(9):3122–31.
72.Turner, SM, Gaynor, LS, Ellison, CN, Dunn, CB, Janus, CM, Bauer, RM. Qualitative measurement of spatial navigation task reveals reduced allocentric search strategy use in normal and abnormal aging. 16th Annual Meeting of the American Academy of Clinical Neuropsychology; June 21, 2018; San Diego, CA, 2018.
73.Moffat, SD, Resnick, SM. Effects of age on virtual environment place navigation and allocentric cognitive mapping. Behavioral Neuroscience. 2002;116(5):851–9.
74.Dror, IE, Kosslyn, SM. Mental imagery and aging. Psychology and Aging. 1994;9:90102.
75.Raz, N, Briggs, SD, Marks, W, Acker, JD. Age-related deficits in generation and manipulation of mental images: II. The role of dorsolateral prefrontal cortex. Psychology and Aging. 1999;14(3):436–44.
76.Kalkstein, J, Checksfield, K, Bollinger, J, Gazzaley, A. Diminished top-down control underlies a visual imagery deficit in normal aging. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience. 2011;31(44):15768–74.
77.Gabbard, C. Mental representation for action in the elderly: implications for movement efficiency and injury risk. Journal of Applied Gerontology: The Official Journal of the Southern Gerontological Society. 2015;34(3):NP202NP212.
78.Decety, J, Grezes, J. Neural mechanisms subserving the perception of human actions. Trends in Cognitive Sciences. 1999;3:172–8.
79.Cacola, P, Roberson, J, Gabbard, C. Aging in movement representations for sequential finger movements: a comparison between young, middle aged, and older adults. Brain and Cognition. 2013;82:15.
80.Zapparoli, L, Invernizzi, P, Gndola, M, Verardi, M, Berlingeri, M, Sherna, M, et al. Mental images across the adult lifespan: a behavioural and fMRI investigation of motor execution and motor imagery. Experimental Brain Research. 2013;224(4):519–40.
81.Gabbard, C, Cacola, P, Cordova, A. Is there an advanced aging effect on the ability to mentally represent action? Archives of Gerontology and Geriatrics. 2011;53:206–9.
82.Allali, G, van der Meulen, M, Beauchet, O, Rieger, SW, Vuilleumier, P, Assal, F. The neural basis of age-related changes in motor imagery of gait: an fMRI study. The Journals of Gerontology Series A, Biological Sciences and Medical Sciences. 2014;69(11):1389–98.
83.Cherry, KE, Park, DC, Donaldson, H. Adult age differences in spatial memory: effects of structural context and practice. Experimental Aging Research. 1993;19(4):333–50.
84.Jiang, HK, Owyang, V, Hong, JS, Gallagher, M. Elevated dynorphin in the hippocampal formation of aged rats: relation to cognitive impairment on a spatial learning task. Proceedings of the National Academy of Sciences of the United States of America. 1989;86:2948–51.
85.Kadar, T, Silbermann, M, Brandeis, R, Levy, A. Age-related structural changes in the rat hippocampus: correlation with working memory deficiency. Brain Research. 1990;512:113–20.
86.Antonova, E, Parslow, D, Brammer, M, Dawson, GR, Jackson, SHD, Morris, RG. Age-related neural activity during allocentric spatial memory. Memory 2009;17:125–43.
87.Devlin, AS. Mind and Maze: Spatial Cognition and Environmental Behavior. Westport, CT: Greenwood Press; 2001.
88.Moffat, SD, Zonderman, AB, Resnick, SM. Age differences in spatial memory in a virtual environment navigation task. Neurobiology of Aging. 2001;22(5):787–96.
89.Moffat, SD. Aging and spatial navigation: what do we know and where do we go? Neuropsychology Review. 2009;19(4):478–89.
90.Rodgers, MK, Sindone, JA, 3rd, Moffat, SD. Effects of age on navigation strategy. Neurobiology of Aging. 2012;33(1):202 e15–22.
91.Harris, MA, Wiener, JM, Wolbers, T. Aging specifically impairs switching to an allocentric navigation strategy. Frontiers in Aging Neuroscience. 2012;4:29.
92.O’Keefe, J, Nadel, L. The Hippocampus as a Cognitive Map. New York: Oxford University Press; 1978.
93.Moffat, SD, Elkins, W, Resnick, SM. Age differences in the neural systems supporting human allocentric spatial navigation. Neurobiology of Aging. 2006;27(7):965–72.
94.Janzen, G, Wagensveld, B, van Turennout, M. Neural representation of navigational relevance is rapidly induced and long lasting. Cerebral Cortex. 2007;17:975–81.
95.Allard, S, Gosein, V, Cuello, AC, Ribeiro-de-Silva, A. Changes with aging in the dopaminergic and noradrenergic innervation of rat neocortex. Neurobiology of Aging. 2011;32:2244–53.
96.Grudzien, A, Shaw, P, Weintraub, S, Bigio, E, Mash, DC, Mesulam, MM. Locus coeruleus neurofibrillary degeneration in aging, mild cognitive impairment, and early Alzheimer’s disease. Neurobiology of Aging. 2007;28:327–35.
97.Zhong, JY, Moffat, SD. Age-related differences in associative learning of landmarks and heading directions in a virtual navigation task. Frontiers in Aging Neuroscience. 2016;8:122.
98.Wiener, JM, Kmecova, H, de Condappa, O. Route repetition and route retracing effects of cognitive aging. Frontiers in Aging Neuroscience. 2012;4:7.
99.Umarova, RM. Adapting the concepts of brain and cognitive reserve to post-stroke cognitive deficits: implications for understanding neglect. Cortex; A Journal Devoted to the Study of the Nervous System and Behavior. 2017;97:327–38.
100.Pijnacker, J, Verstraten, P, van Damme, W, Vandermeulen, J, Steenbergen, B. Rehabilitation of reading in older individuals with macular degeneration: a review of effective training programs. Neuropsychology, Development, and Cognition Section B, Aging, Neuropsychology and Cognition. 2011;18(6):708–32.
101.Starkstein, SE, Jorge, RE, Robinson, RG. The frequency, clinical correlates, and mechanism of anosognosia after stroke. Canadian Journal of Psychiatry/Revue canadienne de psychiatrie. 2010;55(6):355–61.
102.Stoerig, P. Functional rehabilitation of partial cortical blindness? Restorative Neurology and Neuroscience. 2008;26(4–5):291303.
103.Cooke, DM, McKenna, K, Fleming, J. Development of a standardized occupational therapy screening tool for visual perception in adults. Scandinavian Journal of Occupational Therapy. 2005;12(2):5971.
104.Riva, G, Rizzo, A, Alpini, D, Attree, EA, Barbieri, E, Bertella, L, et al. Virtual environments in the diagnosis, prevention, and intervention of age-related diseases: a review of VR scenarios proposed in the EC VETERAN Project. Cyberpsychology & Behavior: The Impact of the Internet, Multimedia and Virtual Reality on Behavior and Society. 1999;2(6):577–91.
105.Pulido, Herrera E. Location-based technologies for supporting elderly pedestrian in “getting lost” events. Disability and Rehabilitation Assistive Technology. 2017;12(4):315–23.
106.Maniglia, M, Cottereau, BR, Soler, V, Trotter, Y. Rehabilitation approaches in macular degeneration patients. Frontiers in Systems Neuroscience. 2016;10:107.