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Age-related changes in cortical blood flow activation during visual processing of faces and location
Open accessAbstract
We examined age-related changes in object and spatial visual processing in two separate experiments. Regional cerebral blood flow (rCBF) was measured in young and old subjects with positron emission tomography and H2(15)O during tests of face matching, location matching, and a control task. The task demands in the two experiments were identical, but the stimuli in Experiment II were constructed to equalize stimulus complexity across all three tasks. The old subjects performed more slowly than the young subjects in both experiments, and showed significantly slower reaction times during location matching compared to face matching in Experiment II. Both young and old subjects showed occipitotemporal rCBF activation during face matching and occipitoparietal activation during location matching when these conditions were compared to the control task. However, in both experiments and in both tasks, young subjects showed greater activation of prestriate cortex (Brodmann's area 18), and old subjects had larger rCBF increases in occipitotemporal cortex (area 37). Areas in prefrontal cortex, as well as in inferior and medial parietal cortex, were more activated in the old subjects during location matching in both experiments. These results demonstrate that reliable age-related changes during visual processing can be found in rCBF patterns, suggesting more efficient use of occipital visual areas by younger subjects and more reliance by older subjects on one or more cortical networks, particularly for spatial vision, perhaps to compensate for reduced processing efficiency of occipital cortex. Both the differentially increased reaction times and the more widespread prefrontal activation in the old subjects during location matching suggest that spatial vision may be affected to a greater degree by aging than is object vision.
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Citations
Cites
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
Object vision and spatial vision: Two cortical pathways
Mishkin, M., Ungerleider, L. G., & Macko, K. A. (1983) · Trends in Neurosciences · doi:10.1016/0166-2236(83)90190-x · Cited by 2,947 · cited 1×
“Evidence from experiments in nonhuman primates (Ungerleider and Mishkin, 1982; Mishkin et al., 1983; Van Essen, 1985; Desimone and Ungerleider, 1989; Felleman and Van Essen, 199 1) and from lesion studies in humans (Damasio et al., 1982, 1989; Posner et al., 1984; Mesulam, 1985; Iwata, 1989;…”
Self-citationCircuitry of Primate Prefrontal Cortex and Regulation of Behavior by Representational Memory
Goldman‐Rakic, P. S. (1987) · Comprehensive Physiology · doi:10.1002/cphy.cp010509 · Cited by 1,960
Impact of age, redundancy, and perceptual noise on visual search
Allen, P. A., Madden, D. J., Groth, K. E., & Crozier, L. C. (1992) · Journal of Gerontology · doi:10.1093/geronj/47.2.p69 · Cited by 57 · cited 1×
“However, there is no consensus that there is a generalized slowing with age, as some have reported results that do not fit this model (Sekuler and Ball, 1986; Allen et al., 1992).”
Result
Cited by
Imaging Cognition II: An Empirical Review of 275 PET and fMRI Studies
Cabeza, R., & Nyberg, L. (2000) · Journal of Cognitive Neuroscience · doi:10.1162/08989290051137585 · Cited by 3,598
Stern, Y. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.03.004 · Cited by 2,943
Aging Gracefully: Compensatory Brain Activity in High-Performing Older Adults
Cabeza, R., Anderson, N. D., Locantore, J. K., & McIntosh, A. R. (2002) · NeuroImage · doi:10.1006/nimg.2002.1280 · Cited by 1,964
Hemispheric asymmetry reduction in older adults: the HAROLD model
Cabeza, R. (2002) · Psychology and Aging · doi:10.1037/0882-7974.17.1.85 · Cited by 2,125
Patterns of Brain Activation in People at Risk for Alzheimer's Disease
Bookheimer, S. Y., Strojwas, M. H., Cohen, M. S., Saunders, A. M., Pericak-Vance, M. A., Mazziotta, J. C., & Small, G. W. (2000) · New England Journal of Medicine · doi:10.1056/nejm200008173430701 · Cited by 1,328
The cognitive neuroscience of ageing
Grady, C. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3256 · Cited by 1,286
Self-citationReduced resting-state brain activity in the “default network” in normal aging
Damoiseaux, J. S., Beckmann, C. F., Arigita, E. J. S., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Rombouts, S. A. R. B. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm207 · Cited by 1,187
Age differences in the frontal lateralization of verbal and spatial working memory revealed by PET
Reuter-Lorenz, P. A., Jonides, J., Smith, E. E., Hartley, A., Miller, A., Marshuetz, C., & Koeppe, R. A. (2000) · Journal of Cognitive Neuroscience · doi:10.1162/089892900561814 · Cited by 998
Loughrey, D. G., Kelly, M. E., Kelley, G. A., Brennan, S., & Lawlor, B. A. (2018) · JAMA Otolaryngology–Head & Neck Surgery · doi:10.1001/jamaoto.2017.2513 · Cited by 961
Age-related changes in modular organization of human brain functional networks
Meunier, D., Achard, S., Morcom, A., & Bullmore, E. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.09.062 · Cited by 756
A theoretical framework for the study of adult cognitive plasticity
Lövdén, M., Bäckman, L., Lindenberger, U., Schaefer, S., & Schmiedek, F. (2010) · Psychological Bulletin · doi:10.1037/a0020080 · Cited by 731
Drevets, W. C., & Raichle, M. E. (1998) · Cognition & Emotion · doi:10.1080/026999398379646 · Cited by 702
Functional anatomical abnormalities in limbic and prefrontal cortical structures in major depression
Drevets, W. C. (2000) · Progress in Brain Research · doi:10.1016/s0079-6123(00)26027-5 · Cited by 659
Rajah, M. N., & D'Esposito, M. (2005) · Brain · doi:10.1093/brain/awh608 · Cited by 513
Functional Imaging of Working Memory after 24 Hr of Total Sleep Deprivation
Chee, M. W. L., & Choo, W. C. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.0007-04.2004 · Cited by 509
New visions of the aging mind and brain
Reuter-Lorenz, P. A. (2002) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(02)01957-5 · Cited by 426
Brain networks associated with cognitive reserve in healthy young and old adults
Stern, Y. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhh142 · Cited by 417
Episodic memory in normal aging and Alzheimer disease: Insights from imaging and behavioral studies
Tromp, D., Dufour, A., Lithfous, S., Pebayle, T., & Després, O. (2015) · Ageing Research Reviews · doi:10.1016/j.arr.2015.08.006 · Cited by 390
Dolcos, F., Iordan, A. D., & Dolcos, S. (2011) · Journal of Cognitive Psychology · doi:10.1080/20445911.2011.594433 · Cited by 355
Development of face-sensitive event-related potentials during infancy: a review
de Haan, M., Johnson, M. H., & Halit, H. (2003) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(03)00152-1 · Cited by 343
Recognition of the Mother's Face by Six-Month-Old Infants: A Neurobehavioral Study
de Haan, M., & Nelson, C. A. (1997) · Child Development · doi:10.1111/j.1467-8624.1997.tb01935.x · Cited by 353
The frontal aging hypothesis evaluated.
GREENWOOD, P. M. (2000) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617700666092 · Cited by 311
Functional plasticity in cognitive aging: Review and hypothesis.
Greenwood, P. M. (2007) · Neuropsychology · doi:10.1037/0894-4105.21.6.657 · Cited by 304
Neuroplasticity and cognitive aging: The scaffolding theory of aging and cognition
Goh, J. O., & Park, D. C. (2009) · Restorative Neurology and Neuroscience · doi:10.3233/rnn-2009-0493 · Cited by 253
Madden, D. J., Spaniol, J., Whiting, W. L., Bucur, B., Provenzale, J. M., Cabeza, R., White, L. E., & Huettel, S. A. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.01.005 · Cited by 231
Default Network Modulation and Large-Scale Network Interactivity in Healthy Young and Old Adults
Spreng, R. N., & Schacter, D. L. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr339 · Cited by 214
Longitudinal Structure-Function Correlates in Elderly Reveal MTL Dysfunction with Cognitive Decline
Persson, J., Pudas, S., Lind, J., Kauppi, K., Nilsson, L.-G., & Nyberg, L. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr306 · Cited by 173
Multisensory integration mechanisms during aging
Freiherr, J., Lundström, J. N., Habel, U., & Reetz, K. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00863 · Cited by 173
Goble, D. J., Coxon, J. P., Van Impe, A., De Vos, J., Wenderoth, N., & Swinnen, S. P. (2010) · Human Brain Mapping · doi:10.1002/hbm.20943 · Cited by 164
Calautti, C., Serrati, C., & Baron, J.-C. (2001) · Stroke · doi:10.1161/01.str.32.1.139 · Cited by 164
Emotional activation of limbic circuitry in elderly normal subjects in a PET study
(1997) · American Journal of Psychiatry · doi:10.1176/ajp.154.3.384 · Cited by 121
Altered deactivation in individuals with genetic risk for Alzheimer's disease
Persson, J., Lind, J., Larsson, A., Ingvar, M., Sleegers, K., Van Broeckhoven, C., Adolfsson, R., Nilsson, L.-G., & Nyberg, L. (2008) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2008.01.026 · Cited by 102
Bernardi, G., Ricciardi, E., Sani, L., Gaglianese, A., Papasogli, A., Ceccarelli, R., Franzoni, F., Galetta, F., Santoro, G., Goebel, R., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0077764 · Cited by 97
Self-citationChanging channels: An fMRI study of aging and cross-modal attention shifts
Townsend, J., Adamo, M., & Haist, F. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.045 · Cited by 93
I: Longitudinal changes in aging brain function
Beason-Held, L. L., Kraut, M. A., & Resnick, S. M. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.10.031 · Cited by 63
The Effects of Amyloid and Tau on Functional Network Connectivity in Older Populations
Wales, R. M., & Leung, H.-C. (2021) · Brain Connectivity · doi:10.1089/brain.2020.0902 · Cited by 26
Asahi, T., Uwano, T., Eifuku, S., Tamura, R., Endo, S., Ono, T., & Nishijo, H. (2006) · Neuroscience · doi:10.1016/j.neuroscience.2006.08.008 · Cited by 19
López Pérez, D., Bokde, A. L. W., & Kerskens, C. M. (2023) · The European Physical Journal Special Topics · doi:10.1140/epjs/s11734-022-00696-2 · Cited by 20
Metadata
- Authors
- Grady, C., Maisog, J., Horwitz, B., Ungerleider, L., Mentis, M., Salerno, J., Pietrini, P., Wagner, E., & Haxby, J.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 1994-03-01
- Volume
- 14
- Issue
- 3
- Pages
- 1450-1462
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2160430288
- Cited by
- 705
- References
- 4
- FWCI
- 5.70
- Type
- journal article
- Language
- en
- Open access
- hybrid
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