We validated the recently developed functional vision evaluation for children (FVEC) battery, which quantitatively measures major eye and visual functions for rehabilitation. The protocol for this test comprises 12 items involving unique abilities of the functional vision evaluated for three subsequent periods. The validation procedure includes an analysis of the difficulty of the examiner’s performance, the reliability and symmetry evaluation of the battery items, and the prediction of the children in the low vision category on a 0 to 100 ranking scale of visual behaviors. Factor analysis evaluates the contribution of the items to functions of the ventral and dorsal visual streams. Consistency was similar between the three examiners and the reliability intra-subjects was also significantly high for examiner 1 (α = 0.86), examiner 2 (α = 0.85), and examiner 3 (α = 0.87). A factor analysis confirms that we arranged our data in two major factors expressing ventral and dorsal visual functions. The FVEC battery was validated showing high robustness, and internal consistency. The final scoring allows a qualitative and quantitative evaluation regarding the performances of the visual ventral and dorsal functions. Improvements in visual rehabilitation protocols based on FVEC battery are discussed.
AndersonS. W.RizzoM. (1995). Recovery and rehabilitation of visual cortical dysfunction. NeuroRehabilitation, 5(2), 129–140. https://doi.org/10.3233/NRE-1995-5204
2.
AngelucciA.LevittJ. B.WaltonE. J. S.HupeJ. M.BullierJ.LundJ. S. (2002). Circuits for local and global signal integration in primary visual cortex. The Journal of Neuroscience, 22(19), 8633–8646.
3.
AtkinsonJ. (1992). Early visual development: Differential functioning of parvocellular and magnocellular pathways. Eye, 6, 129–135. https://doi.org/10.1038/eye.1992.28
4.
AtkinsonJ.BraddickO. (2012). Visual attention in the first years: Typical development and developmental disorders. Developmental Medicine & Child Neurology, 54(7), 589–595. https://doi.org/10.1111/j.1469-8749.2012.04294.x
5.
AtkinsonJ.BraddickO.BraddickF. (1974). Acuity and contrast sensitivity of infant vision. Nature, 247(5440), 403–404. https://doi.org/10.1038/247403a0
6.
AtkinsonJ.BraddickO.MoarK. (1977a). Contrast sensitivity of human infant for moving and static patterns. Vision Research, 17(9), 1045–1047.
7.
AtkinsonJ.BraddickO.MoarK. (1977b). Development of contrast sensitivity over the first 3 months of life in the human infant. Vision Research, 17(9), 1037–1044.
8.
BarcaL.CappelliF. R.Di GiulioP.StaccioliS.CastelliE. (2010). Outpatient assessment of neurovisual functions in children with Cerebral Palsy. Research and Developmental Disability, 31(2), 488–495.
9.
Bestilleiro LopesM. C.da CostaM. F.dos SantosM. A.NakanamiC. R. (2020). DESENVOLVIMENTO DO PROTOCOLO DA AVALIAÇÃO DA VISÃO FUNCIONAL INFANTIL (AVFI) PARA CRIANÇAS COM DEFICIÊNCIA VISUAL. Psicologia E Saúde Em Debate, 6(1), 91–110. https://doi.org/10.22289/2446-922X.V6N1A7
10.
BiY.WangX.CaramazzaA. (2016). Object domain and modality in the ventral visual pathway. Trends in Cognitive Sciences, 20(4), 282–290. https://doi.org/10.1016/j.tics.2016.02.002
11.
BirchE. E.BaneM. C. (1991). Forced-choice preferential looking acuity of children with cortical visual impairment. Developmental Medicine & Child Neurology, 33(8), 722–729.
12.
BlanksbyD. C.LangfordP. E. (1993). VAP-CAP: A procedure to assess the visual functioning of young visually impaired children. Journal of Visual Impairment & Blindness, 87(2), 46–49. https://doi.org/10.1177/0145482X9308700203
13.
BreitmeyerB. G. (2014). Contributions of magno- and parvocellular channels to conscious and non-conscious vision. Philosophical Transactions of the Royal Society B, 369(1641), 20130213. https://doi.org/10.1098/rstb.2013.0213
ChokronS.DuttonG. N. (2016). Impact of cerebral visual impairments on motor skills: Implications for developmental coordination disorders. Frontiers in Psychology, 7, Article 1471. https://doi.org/10.3389/fpsyg.2016.01471
16.
CostaMFOliveiraAGFeitosa-SantanaCZatzMVenturaDF. (2007). Red-green color vision impairment in Duchenne muscular dystrophy. Am J Hum Genet, 80(6), 1064–75.
17.
CostaM. F.FranceV.deC. R. M.BarboniM. T. S.VenturaD. F. (2017). Maturation of binocular, monocular grating acuity and of the visual interocular difference in the first 2 years of life. Clinical EEG and Neuroscience, 49(3), 159–170.
18.
DobsonV.TellerD. Y. (1978). Visual acuity in human infants: A review and comparison of behavioral and electrophysiological studies. Vision Research, 18(11), 1469–1483. https://doi.org/10.1016/0042-6989(78)90001-9
FreudE.PlautD. C.BehrmannM. (2016). “What” is happening in the dorsal visual pathway. Trends in Cognitive Sciences, 20(10), 773–784. https://doi.org/10.1016/j.tics.2016.08.003
21.
GagliardoH. G. R. G. (2003). Contributions of Occupational Therapy for the detection of visual changes in speech therapy. Revista Health, 5(9), 89–93.
22.
GagliardoH. G. R. G.NobleM. I. R. S. (2001). Early intervention in children with low eyesight. Reviews in the Neurosciences, 9(1), 16–19.
23.
GieserJ. P. (2004). When treatments fails: Caring for patients with visual disability. Archives of Ophthalmology, 122(8), 1208–1209.
24.
GoddardE. (2017). A step toward understanding the human ventral visual pathway. Journal of Neurophysiology, 117(3), 872–875. https://doi.org/10.1152/jn.00358.2016
25.
GoodW. V. (2001). Development of a quantitative method to measure vision in children with chronical cortical visual impairment. Transactions of the American Ophthalmological Society, 99, 253–269.
26.
GoodW. V.HouC.NorciaA. M. (2012). Spatial contrast sensitivity vision loss in children with cortical visual impairment. Investigative Ophthalmology & Visual Science, 53(12), 7730–7734. https://doi.org/10.1167/iovs.12-9775
27.
GoriS.SeitzA. R.RonconiL.FranceschiniS.FacoettiA. (2016). Multiple causal links between magnocellular-dorsal pathway deficit and developmental dyslexia. Cerebal Cortex, 26(11), 4356–4369. https://doi.org/10.1093/cercor/bhv206
28.
GuralnickM. J. (1993). Second generation research on the effectiveness of early intervention. Early Education and Development, 4, 366–378.
29.
HanS.WeaverJ. A.MurrayS. O.KangX.YundE. W.WoodsD. L. (2002). Hemispheric asymmetry in global/local processing: Effects of stimulus position and spatial frequency. Neuroimage, 17(3), 1290–1299. https://doi.org/S1053811902912553
30.
HargadonD. D.WoodJ.TwelkerJ. D.HarveyE. M.DobsonV. (2010). Recognition acuity, grating acuity, contrast sensitivity, and visual fields in 6-year-old children. Archives of Ophthalmology, 128, 70–74.
31.
HelligeJ. B.CumberlandN. (2001). Categorical and coordinate spatial processing: More on contributions of the transient/magnocellular visual system. Brain and Cognition, 45(2), 155–163. https://doi.org/10.1006/brcg.2000.1233
32.
KandelE. R.SchwartzJ. H.JesselT. M. (1977). Sensory experience and training of visual circuits. In KandelE. R.SchwartzJ. H.JesselT. M. (Eds.) Fundamentals of neuroscience and behavior (pp. 376–378). Rio de Janeiro, Brazil: Prentice-Hall.
33.
Kara-JoséN.GasparettoM. E. R. F.TemporiniE. R.CarvalhoK. M. M. (2004). Visual difficulties in schoolchildren: Knowledge and actions of teaching teachers who work with students who have low vision. Arquivos Brasileiros de Oftalmologia, 67(1), 1–10.
34.
LeatS. J.YadavN. K.IrvingE. 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
35.
LindstedtE. (2000). Clinical approach to children with low vision. In VeitzmanS. (Ed.) Low vision (pp. 48–64). Rio de Janeiro, Brazil: Brazilian Council of Ophthalmology.
36.
LopesM. C. B.CostaM. F.SantosM. A.NakanamiC. R. (2020). Desenvolvimento do protocolo da avaliação da visão funcional infantil (AVFI) para crianças com deficiência visual. Psicologia e Saúde em Debate, 6(1), 91–110. https://doi.org/10.22289/2446-922X.V6N1A7
37.
MayerD. L.BeiserA. S.WarnerA. F.PrattE. M.RayeK. N.LangJ. M. (1995). Monocular acuity norms for the Teller Acuity Cards between ages one month and four years. Investigative Ophthalmology & Visual Science, 36(3), 671–685.
38.
McKillopE.DuttonG. N. (2008). Impairment of vision in children due to damage to the brain: A practical approach. British and Irish Orthoptic Journal (5), 8–14.
39.
NirodyJ. A. (2014). Development of spatial coarse-to-fine processing in the visual pathway. Journal of Computational Neuroscience, 36(3), 401–414. https://doi.org/10.1007/s10827-013-0480-6
40.
Perez RamosA. M. Q.Perez RamosJ. Q. (1992). Early stimulation: Services, programs and curricula. Ed. Ministry of Social Action, CORDE.
41.
PillingR. F.OuthwaiteL.BruceA. (2016). Assessing visual function in children with complex disabilities: The Bradford visual function box. British Journal of Ophthalmology, 100(8), 1118–1121. https://doi.org/10.1136/bjophthalmol-2015-307558
42.
RiaziF. (2018). Evaluation of vision behaviors in children with cortical visual impairment due to cerebral palsy (CP). Function and Disability Journal, 1(2), 47–56. https://doi.org/10.30699/fdisj.01.2.47
43.
RossiL. D. F.VasconcelosG. C.CordeiroS. S. C. A. R. H.SalibaG. R.MagalhãesL. C.SoaresA. M. A. (2011). Functional vision assessment in children with low vision from two to six years of age: A comparative study. Arquivos Brasileiros de Oftalmologia, 74(4), 262–266. https://doi.org/10.1590/S0004-27492011000400007
44.
SalomãoS. R.VenturaD. F. (1995). Large-sample population age norms for visual acuities obtained with Vistech-Teller Acuity Cards. Investigative Ophthalmology & Visual Science, 3, 657–670.
45.
SilveiraL. C. L. (2004). Parallel visual pathways from the retina to the visual cortex: How do they fit?Behavioral and Brain Sciences, 27(1), 50–51.
46.
SkoczenskiA. M.GoodW. V. (2004). Vernier acuity is selectively affected in infants and children with cortical visual impairment. Developmental Medicine & Child Neurology, 46, 526–532.
47.
SolomonS. G. (2021). Retinal ganglion cells and the magnocellular, parvocellular, and koniocellular subcortical visual pathways from the eye to the brain. Handbook of Clinical Neurology, 178, 31–50. https://doi.org/10.1016/B978-0-12-821377-3.00018-0
48.
SolomonS. S.ChenS. C.MorleyJ. W.SolomonS. G. (2015). Local and global correlations between neurons in the middle temporal area of primate visual cortex. Cerebral Cortex, 25(9), 3182–3196. https://doi.org/10.1093/cercor/bhu111
49.
WilliamsJ.RickertV.HoganJ.ZoltenA. I.SatzP.D’EliaL. F.. . .LightR. (1995). Children’s color trails. Archives of Clinical Neuropsychology, 10(3), 211–223. https://doi.org/10.1016/0887-6177(94)00041-N
50.
YoshidaT.YoshinoA.TakahashiY.NomuraS. (2007). Comparison of hemispheric asymmetry in global and local information processing and interference in divided and selective attention using spatial frequency filters. Experimental Brain Research, 181(3), 519–529. https://doi.org/10.1007/s00221-007-0948-6
51.
ZachariouV.NikasC. V.SafiullahZ. N.GottsS. J.UngerleiderL. G. (2017). Spatial mechanisms within the dorsal visual pathway contribute to the configural processing of faces. Cerebal Cortex, 27(8), 4124–4138. https://doi.org/10.1093/cercor/bhw224
52.
ZekiS. (2001). Localization and globalization in conscious vision. Annual Review of Neuroscience, 24, 57–86.
