Visual and cognitive processes contribute to age-related improvements in visual selective attention.
Journal
Child development
ISSN: 1467-8624
Titre abrégé: Child Dev
Pays: United States
ID NLM: 0372725
Informations de publication
Date de publication:
23 Aug 2023
23 Aug 2023
Historique:
revised:
07
07
2023
received:
16
11
2022
accepted:
17
07
2023
medline:
24
8
2023
pubmed:
24
8
2023
entrez:
24
8
2023
Statut:
aheadofprint
Résumé
Children (N = 103, 4-9 years, 59 females, 84% White, c. 2019) completed visual processing, visual feature integration (color, luminance, motion), and visual search tasks. Contrast sensitivity and feature search improved with age similarly for luminance and color-defined targets. Incidental feature integration improved more with age for color-motion than luminance-motion. Individual differences in feature search (
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIMH NIH HHS
ID : R01 MH099078
Pays : United States
Organisme : NIMH NIH HHS
ID : R21 MH113870
Pays : United States
Organisme : NIH HHS
ID : R01 MH099078
Pays : United States
Organisme : NIH HHS
ID : R21 MH113870
Pays : United States
Informations de copyright
© 2023 The Authors. Child Development © 2023 Society for Research in Child Development.
Références
Almoqbel, F. M., Irving, E. L., & Leat, S. J. (2017). Visual acuity and contrast sensitivity development in children: Sweep visually evoked potential and psychophysics. Optometry and Vision Science, 94(8), 830-837. https://doi.org/10.1097/OPX.0000000000001101
Amso, D., & Scerif, G. (2015). The attentive brain: Insights from developmental cognitive neuroscience. Nature Reviews Neuroscience, 16(10), 606-619. https://doi.org/10.1038/nrn4025
Atkinson, J., Braddick, O., & Moar, K. (1977). Development of contrast sensitivity over the first 3 months of life in the human infant. Vision Research, 17(9), 1037-1044.
Beazley, L. D., Illingworth, D. J., Jahn, A., & Greer, D. V. (1980). Contrast sensitivity in children and adults. The British Journal of Ophthalmology, 64(11), 863-866. http://www.ncbi.nlm.nih.gov/pubmed/7426558
Bertone, A., Hanck, J., Cornish, K. M., & Faubert, J. (2008). Development of static and dynamic perception for luminance-defined and texture-defined information. Neuroreport, 19(2), 225-228. https://doi.org/10.1097/WNR.0b013e3282f48401
Blakley, E. C., Gaspelin, N., & Gerhardstein, P. (2022). The development of oculomotor suppression of salient distractors in children. Journal of Experimental Child Psychology, 214, 105291. https://doi.org/10.1016/j.jecp.2021.105291
Bradley, A., & Freeman, R. D. (1982). Contrast sensitivity in children. Vision Research, 22, 953-959.
Carrasco, M. (2011). Visual attention: The past 25 years. Vision Research, 51(13), 1484-1525. https://doi.org/10.1016/j.visres.2011.04.012
Carrasco, M., Ling, S., & Read, S. (2004). Attention alters appearance. Nature Neuroscience, 7(3), 308-313.
Desimone, R., & Duncan, J. (1995). Neural mechanisms of selective visual attention. Annual Review of Neuroscience, 18(1), 193-222. https://doi.org/10.1146/annurev.ne.18.030195.001205
Donnelly, N., Cave, K., Greenway, R., Hadwin, J. A., Stevenson, J., & Sonuga-Barke, E. (2007). Visual search in children and adults: Top-down and bottom-up mechanisms. Quarterly Journal of Experimental Psychology, 60(1), 120-136. https://doi.org/10.1080/17470210600625362
Ellemberg, D., Lewis, T. L., Hong Liu, C., & Maurer, D. (1999). Development of spatial and temporal vision during childhood. Vision Research, 39(14), 2325-2333. https://doi.org/10.1016/S0042-6989(98)00280-6
Farahbakhsh, M., Dekker, T. M., & Jones, P. R. (2019). Psychophysics with children: Evaluating the use of maximum likelihood estimators in children aged 4-15 years (QUEST+). Journal of Vision, 19(6), 22. https://doi.org/10.1167/19.6.22
Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G*power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175-191. https://doi.org/10.3758/BF03193146
Felleman, D. J., & Van Essen, D. C. (1991). Distributed hierarchical processing in the primate cerebral cortex. Cerebral Cortex, 1, 1-47.
Festa, E. K., Insler, R. Z., Salmon, D. P., Paxton, J., Hamilton, J. M., & Heindel, W. C. (2005). Neocortical disconnectivity disrupts sensory integration in Alzheimer's disease. Neuropsychology, 19(6), 728-738. https://doi.org/10.1037/0894-4105.19.6.728
Fisher, A. V., Godwin, K. E., & Seltman, H. (2014). Visual environment, attention allocation, and learning in young children: When too much of a good thing may Be bad. Psychological Science, 25(7), 1362-1370. https://doi.org/10.1177/0956797614533801
Gegenfurtner, K. R. (2003). Cortical mechanisms of colour vision. Nature Reviews Neuroscience, 4(7), 563-572. https://doi.org/10.1038/nrn1138
Gerhardstein, P., & Rovee-Collier, C. (2002). The development of visual search in infants and very young children. Journal of Experimental Child Psychology, 81(2), 194-215. https://doi.org/10.1006/jecp.2001.2649
Grubert, A., Indino, M., & Krummenacher, J. (2014). From features to dimensions: Cognitive and motor development in pop-out search in children and young adults. Frontiers in Psychology, 5(May), 1-11. https://doi.org/10.3389/fpsyg.2014.00519
Gwiazda, J., Bauer, J., Thorn, F., & Held, R. (1997). Development of spatial contrast sensitivity from infancy to adulthood: Psychophysical data. Optometry and Vision Science, 74(10), 785-789.
Hanley, M., Khairat, M., Taylor, K., Wilson, R., Cole-Fletcher, R., & Riby, D. M. (2017). Classroom displays-attraction or distraction? Evidence of impact on attention and learning from children with and without autism. Developmental Psychology, 53(7), 1265-1275. https://doi.org/10.1037/dev0000271
Hendry, A., Johnson, M. H., & Holmboe, K. (2019). Early development of visual attention: Change, stability, and longitudinal associations. Annual Review of Developmental Psychology, 1, 251-275. https://doi.org/10.1146/annurev-devpsych-121318
Hommel, B., Li, K. Z. H., & Li, S.-C. (2004). Visual search across the life span. Developmental Psychology, 40(4), 545-558. https://doi.org/10.1037/0012-1649.40.4.545
King, J., Marcus, T., & Markant, J. (2023). Individual differences in selective attention and engagement shape students' learning from visual cues and instructor presence during online lessons. Scientific Reports, 13(1), 5075. https://doi.org/10.1038/s41598-023-32069-7
Knoblauch, K., Vital-Durand, F., & Barbur, J. L. (2001). Variation of chromatic sensitivity across the life span. Vision Research, 41(1), 23-36. https://doi.org/10.1016/S0042-6989(00)00205-4
Kravitz, D. J., Saleem, K. S., Baker, C. I., & Mishkin, M. (2011). A new neural framework for visuospatial processing. Nature Neuroscience Reviews, 12, 217-230. https://doi.org/10.1038/nrn3008
Kravitz, D. J., Saleem, K. S., Baker, C. I., Ungerleider, L. G., & Mishkin, M. (2013). The ventral visual pathway: An expanded neural framework for the processing of object quality. Trends in Cognitive Sciences, 17(1), 26-49. https://doi.org/10.1016/j.tics.2012.10.011
Leat, S. J., Yadav, N. K., & Irving, E. L. (2009). Development of visual acuity and contrast sensitivity in children. Journal of Optometry, 2(1), 19-26. https://doi.org/10.3921/joptom.2009.19
Lewis, T. L., Kingdon, A., Ellemberg, D., & Maurer, D. (2007). Orientation discrimination in 5-year-olds and adults tested with luminance-modulated and contrast-modulated gratings. Journal of Vision, 7(4), 1-11. https://doi.org/10.1167/7.4.9
Ling, B. Y., & Dain, S. J. (2018). Development of color vision discrimination during childhood: Differences between blue-yellow, red-green, and achromatic thresholds. Journal of the Optical Society of America A, 35(4), B35. https://doi.org/10.1364/josaa.35.000b35
Ling, S., & Carrasco, M. (2006). Sustained and transient covert attention enhance the signal via different contrast response functions. Vision Research, 46(8-9), 1210-1220. https://doi.org/10.1016/j.visres.2005.05.008
Lookadoo, R., Yang, Y., & Merrill, E. C. (2017). Encouraging top-down attention in visual search: A developmental perspective. Attention, Perception, and Psychophysics, 79(7), 2007-2020. https://doi.org/10.3758/s13414-017-1379-5
Lynn, A., & Amso, D. (2021). Attention along the cortical hierarchy: Development matters. Wiley Interdisciplinary Reviews: Cognitive Science, 14(1), e1575.
Lynn, A., Festa, E. K., Heindel, W. C., & Amso, D. (2020). What underlies visual selective attention development? Evidence that age-related improvements in visual feature integration influence visual selective attention performance. Journal of Experimental Child Psychology, 191, 104732. https://doi.org/10.1016/j.jecp.2019.104732
Lyons, I. M., Price, G. R., Vaessen, A., Blomert, L., & Ansari, D. (2014). Numerical predictors of arithmetic success in grades 1-6. Developmental Science, 17(5), 714-726. https://doi.org/10.1111/desc.12152
Macleod, D. I. A., & Boynton, R. M. (1979). Chromaticity diagram showing cone excitation by stimuli of equal luminance. Journal of the Optical Society of America, 69(8), 1183.
Markant, J., & Amso, D. (2022). Context and attention control determine whether attending to competing information helps or hinders learning in school-aged children. Wiley Interdisciplinary Reviews: Cognitive Science, 13(1), e1577. https://doi.org/10.1002/wcs.1577
Maule, J., Skelton, A. E., & Franklin, A. (2023). The development of color perception and cognition. Annual Review of Psychology, 74, 87-111. https://doi.org/10.1146/annurev-psych-032720
Mayer, M. J. (1977). Development of anisotropy in late childhood. Vision Research, 17(6), 703-710. https://doi.org/10.1016/S0042-6989(77)80006-0
Merkley, R., Matusz, P. J., & Scerif, G. (2018). The control of selective attention and emerging mathematical cognition: Beyond unidirectional influences. In Heterogeneity of function in numerical cognition (pp. 111-126). Elsevier Inc. https://doi.org/10.1016/B978-0-12-811529-9.00006-6
Merrill, E. C., & Lookadoo, R. (2004). Selective search for conjunctively defined targets by children and young adults. Journal of Experimental Child Psychology, 89(1), 72-90. https://doi.org/10.1016/j.jecp.2004.04.001
Nketia, J., Amso, D., & Brito, N. H. (2021). Towards a more inclusive and equitable developmental cognitive neuroscience. Developmental Cognitive Neuroscience, 52, 101014. https://doi.org/10.1016/j.dcn.2021.101014
Pestilli, F., & Carrasco, M. (2005). Attention enhances contrast sensitivity at cued and impairs it at uncued locations. Vision Research, 45(14), 1867-1875. https://doi.org/10.1016/j.visres.2005.01.019
Plude, D. J., Enns, J. T., & Brodeur, D. (1994). The development of selective attention: A life-span overview. Acta Psychologica, 86, 227-272.
Seymour, K., Clifford, C. W. G., Logothetis, N. K., & Bartels, A. (2009). The coding of color, motion, and their conjunction in the human visual cortex. Current Biology, 19(3), 177-183. https://doi.org/10.1016/j.cub.2008.12.050
Shipp, S., & Zeki, S. (1995). Segregation and convergence of specialised pathways in macaque monkey visual cortex. Journal of Anatomy, 187(Pt 3), 547-562. https://doi.org/10.21037/atm.2016.10.49
Silvestre, D., Guy, J., Hanck, J., Cornish, K., & Bertone, A. (2020). Different luminance- and texture-defined contrast sensitivity profiles for school-aged children. Scientific Reports, 10(1), 1-7. https://doi.org/10.1038/s41598-020-69802-5
Sincich, L. C., & Horton, J. C. (2005). The circuitry of V1 and V2: Integration of color, form, and motion. Annual Review of Neuroscience, 28(1), 303-326. https://doi.org/10.1146/annurev.neuro.28.061604.135731
Skelton, A. E., Maule, J., & Franklin, A. (2022). Infant color perception: Insight into perceptual development. Child Development Perspectives, 16(2), 90-95. https://doi.org/10.1111/cdep.12447
Stevens, C., & Bavelier, D. (2012). The role of selective attention on academic foundations: A cognitive neuroscience perspective. Developmental Cognitive Neuroscience, 2(Suppl. 1), S30-S48. https://doi.org/10.1016/j.dcn.2011.11.001
Teller, D. Y. (1998). Spatial and temporal aspects of infant color vision. Vision Research, 38, 3275-3282.
Thompson, L. A., & Massaro, A. W. (1989). Before you see it, you see its parts: Evidence for feature encoding and integration in preschool children and adults. Cognitive Psychology, 362, 334-362.
Treisman, A., & Gelade, G. (1980). A feature-integration theory of attention. Cognitive Psychology, 12, 97-136.
Trick, L. M., & Enns, J. T. (1998). Lifespan changes in attention: The visual search task. Cognitive Development, 13, 369-386.
Ungerleider, L. G., & Haxby, J. V. (1994). “What” and “where” in the human brain. Current Opinion in Neurobiology, 4(2), 157-165. https://doi.org/10.1016/0959-4388(94)90066-3
Vinci-Booher, S., Caron, B., Bullock, D., James, K., & Pestilli, F. (2022). Development of white matter tracts between and within the dorsal and ventral streams. Brain Structure and Function, 227(4), 1457-1477. https://doi.org/10.1007/s00429-021-02414-5
Watson, A. B. (2017). QUEST+: A general multidimensional Bayesian adaptive psychometric method. Journal of Vision, 17(3), 10. https://doi.org/10.1167/17.3.10
Werchan, D. M., & Amso, D. (2017). A novel ecological account of prefrontal cortex functional development. Psychological Review, 124(6), 720-739. https://doi.org/10.1037/rev0000078
Wolfe, J. M. (1994). Guided search 2.0 a revised model of visual search. Psychonomic Bulletin & Review, 1(2), 202-238. https://doi.org/10.3758/BF03200774
Wolfe, J. M. (2021). Guided search 6.0: An updated model of visual search. Psychonomic Bulletin & Review, 28, 1060-1092. https://doi.org/10.3758/s13423-020-01859-9/Published