請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/102083完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 蔡麗婷 | zh_TW |
| dc.contributor.advisor | Li-Ting Tsai | en |
| dc.contributor.author | 陳諮嫻 | zh_TW |
| dc.contributor.author | Tzu-Hsien Chen | en |
| dc.date.accessioned | 2026-03-13T16:17:15Z | - |
| dc.date.available | 2026-03-14 | - |
| dc.date.copyright | 2026-03-13 | - |
| dc.date.issued | 2026 | - |
| dc.date.submitted | 2026-02-03 | - |
| dc.identifier.citation | 1. Ohuma EO, Moller AB, Bradley E, et al. National, regional, and global estimates of preterm birth in 2020, with trends from 2010: a systematic analysis. Lancet. Oct 7 2023;402(10409):1261–1271. doi:10.1016/S0140-6736(23)00878-4
2. Quinn JA, Munoz FM, Gonik B, et al. Preterm birth: Case definition & guidelines for data collection, analysis, and presentation of immunisation safety data. Vaccine. Dec 1 2016;34(49):6047–6056. doi:10.1016/j.vaccine.2016.03.045 3. Cutland CL, Lackritz EM, Mallett-Moore T, et al. Low birth weight: Case definition & guidelines for data collection, analysis, and presentation of maternal immunization safety data. Vaccine. Dec 4 2017;35(48 Pt A):6492–6500. doi:10.1016/j.vaccine.2017.01.049 4. Sarda SP, Sarri G, Siffel C. Global prevalence of long-term neurodevelopmental impairment following extremely preterm birth: a systematic literature review. J Int Med Res. Jul 2021;49(7):3000605211028026. doi:10.1177/03000605211028026 5. Mitha A, Chen R, Razaz N, et al. Neurological development in children born moderately or late preterm: national cohort study. BMJ. Jan 24 2024;384:e075630. doi:10.1136/bmj-2023-075630 6. Stoll BJ, Hansen NI, Bell EF, et al. Trends in Care Practices, Morbidity, and Mortality of Extremely Preterm Neonates, 1993-2012. JAMA. Sep 8 2015;314(10):1039–51. doi:10.1001/jama.2015.10244 7. Dutton G, McKillop E, Saidkasimova S. Visual problems as a result of brain damage in children. BMJ Publishing Group Ltd; 2006. p. 932–933. 8. Pascal A, Govaert P, Oostra A, Naulaers G, Ortibus E, Van den Broeck C. Neurodevelopmental outcome in very preterm and very-low-birthweight infants born over the past decade: a meta-analytic review. Dev Med Child Neurol. Apr 2018;60(4):342–355. doi:10.1111/dmcn.13675 9. Lucas BR, Elliott EJ, Coggan S, et al. Interventions to improve gross motor performance in children with neurodevelopmental disorders: a meta-analysis. BMC Pediatr. Nov 29 2016;16(1):193. doi:10.1186/s12887-016-0731-6 10. McGowan EC, Vohr BR. Neurodevelopmental Follow-up of Preterm Infants: What Is New? Pediatr Clin North Am. Apr 2019;66(2):509–523. doi:10.1016/j.pcl.2018.12.015 11. Rees P, Callan C, Chadda KR, et al. Preterm brain injury and neurodevelopmental outcomes: a meta-analysis. Pediatrics. 2022;150(6) 12. Agut T, Alarcon A, Cabanas F, et al. Preterm white matter injury: ultrasound diagnosis and classification. Pediatr Res. Mar 2020;87(Suppl 1):37–49. doi:10.1038/s41390-020-0781-1 13. Gilard V, Tebani A, Bekri S, Marret S. Intraventricular Hemorrhage in Very Preterm Infants: A Comprehensive Review. J Clin Med. Jul 31 2020;9(8)doi:10.3390/jcm9082447 14. Back SA, Miller SP. Brain injury in premature neonates: A primary cerebral dysmaturation disorder? Annals of Neurology. 2014;75(4):469–486. doi:10.1002/ana.24132 15. Thapar A, Cooper M, Rutter M. Neurodevelopmental disorders. The Lancet Psychiatry. 2017;4(4):339–346. 16. Beauregard JL, Drews-Botsch C, Sales JM, Flanders WD, Kramer MR. Preterm birth, poverty, and cognitive development. Pediatrics. 2018;141(1) 17. Doyle LW, Roberts G, Anderson PJ, Group VICS. Outcomes at age 2 years of infants< 28 weeks' gestational age born in Victoria in 2005. The Journal of pediatrics. 2010;156(1):49–53. e1. 18. Brydges CR, Landes JK, Reid CL, Campbell C, French N, Anderson M. Cognitive outcomes in children and adolescents born very preterm: a meta-analysis. Dev Med Child Neurol. May 2018;60(5):452–468. doi:10.1111/dmcn.13685 19. Johnson S, Marlow N. Early and long-term outcome of infants born extremely preterm. Arch Dis Child. Jan 2017;102(1):97–102. doi:10.1136/archdischild-2015-309581 20. Hollanders JJ, Schaefer N, van der Pal SM, et al. Long-Term Neurodevelopmental and Functional Outcomes of Infants Born Very Preterm and/or with a Very Low Birth Weight. Neonatology. 2019;115(4):310–319. doi:10.1159/000495133 21. Kim SJ, Port AD, Swan R, Campbell JP, Chan RVP, Chiang MF. Retinopathy of prematurity: a review of risk factors and their clinical significance. Surv Ophthalmol. Sep–Oct 2018;63(5):618–637. doi:10.1016/j.survophthal.2018.04.002 22. Sabri K, Ells AL, Lee EY, Dutta S, Vinekar A. Retinopathy of Prematurity: A Global Perspective and Recent Developments. Pediatrics. Sep 1 2022;150(3)doi:10.1542/peds.2021-053924 23. Diggikar S, Gurumoorthy P, Trif P, et al. Retinopathy of prematurity and neurodevelopmental outcomes in preterm infants: A systematic review and meta-analysis. Front Pediatr. 2023;11:1055813. doi:10.3389/fped.2023.1055813 24. Philip SS, Dutton GN. Identifying and characterising cerebral visual impairment in children: a review. Clin Exp Optom. May 2014;97(3):196–208. doi:10.1111/cxo.12155 25. Sakki HEA, Dale NJ, Sargent J, Perez-Roche T, Bowman R. Is there consensus in defining childhood cerebral visual impairment? A systematic review of terminology and definitions. Br J Ophthalmol. Apr 2018;102(4):424–432. doi:10.1136/bjophthalmol-2017-310694 26. Hoyt CS. Brain injury and the eye. Eye (Lond). Oct 2007;21(10):1285–9. doi:10.1038/sj.eye.6702849 27. Solebo AL, Teoh L, Rahi J. Epidemiology of blindness in children. Arch Dis Child. Sep 2017;102(9):853–857. doi:10.1136/archdischild-2016-310532 28. Lanzi G, Fazzi E, Uggetti C, et al. Cerebral visual impairment in periventricular leukomalacia. Neuropediatrics. Jun 1998;29(3):145–50. doi:10.1055/s-2007-973551 29. Jacobson L, Lundin S, Flodmark O, Ellstrom KG. Periventricular leukomalacia causes visual impairment in preterm children. A study on the aetiologies of visual impairment in a population-based group of preterm children born 1989-95 in the county of Varmland, Sweden. Acta Ophthalmol Scand. Oct 1998;76(5):593–8. doi:10.1034/j.1600-0420.1998.760516.x 30. Comberiati AM, Graziani M, Malvasi M, et al. Effectiveness of diagnosis and early treatment of ocular motility alterations in premature infants. Clin Ter. Jan–Feb 2023;174(1):48–52. doi:10.7417/CT.2023.5008 31. Dutton GN, Saaed A, Fahad B, et al. Association of binocular lower visual field impairment, impaired simultaneous perception, disordered visually guided motion and inaccurate saccades in children with cerebral visual dysfunction-a retrospective observational study. Eye (Lond). Jan 2004;18(1):27–34. doi:10.1038/sj.eye.6700541 32. Lowery RS, Atkinson D, Lambert SR. Cryptic cerebral visual impairment in children. Br J Ophthalmol. Aug 2006;90(8):960–3. doi:10.1136/bjo.2006.094250 33. Lambert SR, Hoyt CS, Jan JE, Barkovich J, Flodmark O. Visual recovery from hypoxic cortical blindness during childhood. Computed tomographic and magnetic resonance imaging predictors. Arch Ophthalmol. Oct 1987;105(10):1371–7. doi:10.1001/archopht.1987.01060100073030 34. Uggetti C, Egitto MG, Fazzi E, et al. Cerebral visual impairment in periventricular leukomalacia: MR correlation. AJNR Am J Neuroradiol. May 1996;17(5):979–85. 35. Fazzi E, Bova S, Giovenzana A, Signorini S, Uggetti C, Bianchi P. Cognitive visual dysfunctions in preterm children with periventricular leukomalacia. Dev Med Child Neurol. Dec 2009;51(12):974–81. doi:10.1111/j.1469-8749.2009.03272.x 36. Fazzi E, Signorini SG, R LAP, et al. Neuro-ophthalmological disorders in cerebral palsy: ophthalmological, oculomotor, and visual aspects. Dev Med Child Neurol. Aug 2012;54(8):730–6. doi:10.1111/j.1469-8749.2012.04324.x 37. Ramenghi LA, Ricci D, Mercuri E, et al. Visual performance and brain structures in the developing brain of pre-term infants. Early Hum Dev. Jul 2010;86 Suppl 1:73–5. doi:10.1016/j.earlhumdev.2010.01.010 38. Phadke A, Msall ME, Droste P, et al. Impaired visual fixation at the age of 2 years in children born before the twenty-eighth week of gestation. Antecedents and correlates in the multicenter ELGAN study. Pediatr Neurol. Jul 2014;51(1):36–42. doi:10.1016/j.pediatrneurol.2014.03.007 39. Rutsche A, Baumann A, Jiang X, Mojon DS. Development of visual pursuit in the first 6 years of life. Graefes Arch Clin Exp Ophthalmol. Nov 2006;244(11):1406–11. doi:10.1007/s00417-005-0248-4 40. Tarnutzer AA, Straumann D. Nystagmus. Curr Opin Neurol. Feb 2018;31(1):74–80. doi:10.1097/WCO.0000000000000517 41. Leigh RJ, Zee DS. The neurology of eye movements. Oxford University Press, USA; 2015. 42. Rohrschneider K, Becker M, Kruse F, Fendrich T, Völcker H. Stability of fixation: results of fundus-controlled examination using the scanning laser ophthalmoscope. German journal of ophthalmology. 1995;4(4):197–202. 43. Hokken MJ, Krabbendam E, van der Zee YJ, Kooiker MJG. [Formula: see text] Visual selective attention and visual search performance in children with CVI, ADHD, and Dyslexia: a scoping review. Child Neuropsychol. Apr 2023;29(3):357–390. doi:10.1080/09297049.2022.2057940 44. Wolfe JM, Vo ML, Evans KK, Greene MR. Visual search in scenes involves selective and nonselective pathways. Trends Cogn Sci. Feb 2011;15(2):77–84. doi:10.1016/j.tics.2010.12.001 45. 蕭斐文, 洪榮照. 視皮質損傷診斷評量之探究. 特殊教育季刊. 2014;(131):33–43. 46. van Genderen M, Dekker M, Pilon F, Bals I. Diagnosing cerebral visual impairment in children with good visual acuity. Strabismus. Jun 2012;20(2):78–83. doi:10.3109/09273972.2012.680232 47. Roman-Lantzy C. Cortical visual impairment: An approach to assessment and intervention. American Foundation for the Blind; 2007. 48. 莊素貞. 大腦視皮質損傷與其功能性視覺評估. 特殊教育與輔助科技半年刊. 2013;(9):38–47. 49. Frank Y, Kurtzberg D, Kreuzer JA, Vaughan Jr HG. FLASH AND PATTERN‐REVERSAL VISUAL EVOKED POTENTIAL ABNORMALITIES IN INFANTS AND CHILDREN WITH CEREBRAL BLINDNESS. Developmental Medicine & Child Neurology. 1992;34(4):305–315. 50. Idil SA, Altinbay D, Sahli E, et al. Ophthalmologic approach to babies with cerebral visual impairment. Turk J Pediatr. 2021;63(1):1–10. doi:10.24953/turkjped.2021.01.001 51. Dutton GN. The spectrum of cerebral visual impairment as a sequel to premature birth: an overview. Doc Ophthalmol. Aug 2013;127(1):69–78. doi:10.1007/s10633-013-9382-1 52. Bai J, Li W, Yang Y, Wu J, He W, Xu M. Cognitive Correlates of Reading Fluency in Chinese School-Aged Children. Front Psychol. 2020;11:903. doi:10.3389/fpsyg.2020.00903 53. Kovachy VN, Adams JN, Tamaresis JS, Feldman HM. Reading abilities in school-aged preterm children: a review and meta-analysis. Dev Med Child Neurol. May 2015;57(5):410–9. doi:10.1111/dmcn.12652 54. Perez-Roche T, Altemir I, Gimenez G, et al. Effect of prematurity and low birth weight in visual abilities and school performance. Res Dev Disabil. Dec 2016;59:451–457. doi:10.1016/j.ridd.2016.10.002 55. Pascoe L, Burnett AC, Anderson PJ. Cognitive and academic outcomes of children born extremely preterm. Semin Perinatol. Dec 2021;45(8):151480. doi:10.1016/j.semperi.2021.151480 56. Kerr-Wilson CO, Mackay DF, Smith GC, Pell JP. Meta-analysis of the association between preterm delivery and intelligence. J Public Health (Oxf). Jun 2012;34(2):209–16. doi:10.1093/pubmed/fdr024 57. He Y, Legge GE, Yu D. Sensory and cognitive influences on the training-related improvement of reading speed in peripheral vision. J Vis. Jun 24 2013;13(7):14. doi:10.1167/13.7.14 58. 王瓊珠, 洪儷瑜, 陳秀芬. 低識字能力學生識字量發展之研究-馬太效應之可能表現. 特殊教育研究學刊. 2007;32(3):1–16. 59. Dekker MJ, Pilon F, Bijveld MM, de Wit GC, van Genderen MM. Crowding ratio in young normally sighted children. Strabismus. Jun 2012;20(2):49–54. doi:10.3109/09273972.2012.680233 60. Tanke N, Barsingerhorn AD, Goossens J, Boonstra FN. The Developmental Eye Movement Test as a Diagnostic Aid in Cerebral Visual Impairment. Front Hum Neurosci. 2021;15:732927. doi:10.3389/fnhum.2021.732927 61. Zhang X, Manley CE, Micheletti S, et al. Assessing visuospatial processing in cerebral visual impairment using a novel and naturalistic static visual search task. Res Dev Disabil. Dec 2022;131:104364. doi:10.1016/j.ridd.2022.104364 62. Balas B, Nakano L, Rosenholtz R. A summary-statistic representation in peripheral vision explains visual crowding. J Vis. Nov 19 2009;9(12):13 1–18. doi:10.1167/9.12.13 63. Levi DM, Hariharan S, Klein SA. Suppressive and facilitatory spatial interactions in peripheral vision: Peripheral crowding is neither size invariant nor simple contrast masking. Journal of Vision. 2002;2(2):3–3. doi:10.1167/2.2.3 64. Martelli M, Majaj NJ, Pelli DG. Are faces processed like words? A diagnostic test for recognition by parts. J Vis. Feb 4 2005;5(1):58–70. doi:10.1167/5.1.6 65. Pelli DG, Tillman KA. The uncrowded window of object recognition. Nat Neurosci. Oct 2008;11(10):1129–35. doi:10.1038/nn.2187 66. Parkes L, Lund J, Angelucci A, Solomon JA, Morgan M. Compulsory averaging of crowded orientation signals in human vision. Nature neuroscience. 2001;4(7):739–744. 67. Balas B, Nakano L, Rosenholtz R. A summary-statistic representation in peripheral vision explains visual crowding. Journal of Vision. 2009;9(12):13–13. doi:10.1167/9.12.13 68. Van den Berg R, Roerdink JB, Cornelissen FW. On the generality of crowding: Visual crowding in size, saturation, and hue compared to orientation. Journal of Vision. 2007;7(2):14–14. 69. Kao H-W. 閱讀效能在中文字辨認的視覺擁擠效應之影響. National Central University; 2017. 70. Huurneman B, Boonstra FN, Cillessen AH, van Rens G, Cox RF. Crowding in central vision in normally sighted and visually impaired [corrected] children aged 4 to 8 years: the influence of age and test design. Strabismus. Jun 2012;20(2):55–62. doi:10.3109/09273972.2012.680230 71. Huurneman B, Boonstra FN, Cox RF, Cillessen AH, van Rens G. A systematic review on 'Foveal Crowding' in visually impaired children and perceptual learning as a method to reduce Crowding. BMC Ophthalmol. Jul 23 2012;12:27. doi:10.1186/1471-2415-12-27 72. van den Berg R, Roerdink JBTM, Cornelissen FW. On the generality of crowding: Visual crowding in size, saturation, and hue compared to orientation. Journal of Vision. 2007;7(2)doi:10.1167/7.2.14 73. Strasburger H, Harvey LO, Rentschler I. Contrast thresholds for identification of numeric characters in direct and eccentric view. Perception & psychophysics. 1991;49(6):495–508. 74. van der Zee YJ, Stiers P, Evenhuis HM. Should we add visual acuity ratios to referral criteria for potential cerebral visual impairment? J Optom. Apr–Jun 2017;10(2):95–103. doi:10.1016/j.optom.2016.01.003 75. Chandna A, Wong M, Veitzman S, Menjivar E, Kulkarni A. Higher visual function deficits are independent of visual acuity measures in children with cerebral visual impairment. Front Hum Neurosci. 2024;18:1451257. doi:10.3389/fnhum.2024.1451257 76. Greenwood JA, Bex PJ, Dakin SC. Crowding changes appearance. Current Biology. 2010;20(6):496–501. 77. Pelli DG, Palomares M, Majaj NJ. Crowding is unlike ordinary masking: Distinguishing feature integration from detection. Journal of vision. 2004;4(12):12–12. 78. Mort DJ, Kennard C. Visual search and its disorders. Curr Opin Neurol. Feb 2003;16(1):51–7. doi:10.1097/01.wco.0000053590.70044.c5 79. Sanchez K, Rowe FJ. Role of neural integrators in oculomotor systems: a systematic narrative literature review. Acta Ophthalmol. Mar 2018;96(2):e111–e118. doi:10.1111/aos.13307 80. Zhang X, Manley CE, Micheletti S, et al. Assessing visuospatial processing in cerebral visual impairment using a novel and naturalistic static visual search task. Research in Developmental Disabilities. 2022;131doi:10.1016/j.ridd.2022.104364 81. Tanke N, Barsingerhorn AD, Boonstra FN, Goossens J. Visual fixations rather than saccades dominate the developmental eye movement test. Sci Rep. Jan 13 2021;11(1):1162. doi:10.1038/s41598-020-80870-5 82. Van Hove C, Damiano C, Ben Itzhak N. The relation between clutter and visual fatigue in children with cerebral visual impairment. Ophthalmic Physiol Opt. Mar 2025;45(2):514–541. doi:10.1111/opo.13447 83. Ben Itzhak N, Kooiker MJG, van der Steen J, Pel JJM, Wagemans J, Ortibus E. The relation between visual orienting functions, daily visual behaviour and visuoperceptual performance in children with (suspected) cerebral visual impairment. Res Dev Disabil. Dec 2021;119:104092. doi:10.1016/j.ridd.2021.104092 84. Ben Itzhak N, Vancleef K, Franki I, Laenen A, Wagemans J, Ortibus E. Visuoperceptual profiles of children using the Flemish cerebral visual impairment questionnaire. Dev Med Child Neurol. Aug 2020;62(8):969–976. doi:10.1111/dmcn.14448 85. Vancleef K, Janssens E, Petre Y, Wagemans J, Ortibus E. Assessment tool for visual perception deficits in cerebral visual impairment: reliability and validity. Dev Med Child Neurol. Jan 2020;62(1):118–124. doi:10.1111/dmcn.14304 86. Vancleef K, Janssens E, Petre Y, Wagemans J, Ortibus E. Assessment tool for visual perception deficits in cerebral visual impairment: development and normative data of typically developing children. Dev Med Child Neurol. Jan 2020;62(1):111–117. doi:10.1111/dmcn.14303 87. Ferziger NB, Nemet P, Brezner A, Feldman R, Galili G, Zivotofsky AZ. Visual assessment in children with cerebral palsy: implementation of a functional questionnaire. Dev Med Child Neurol. May 2011;53(5):422–8. doi:10.1111/j.1469-8749.2010.03905.x 88. Salavati M, Waninge A, Rameckers EA, et al. Development and face validity of a cerebral visual impairment motor questionnaire for children with cerebral palsy. Child Care Health Dev. Jan 2017;43(1):37–47. doi:10.1111/cch.12377 89. Chandna A, Ghahghaei S, Foster S, Kumar R. Higher Visual Function Deficits in Children With Cerebral Visual Impairment and Good Visual Acuity. Front Hum Neurosci. 2021;15:711873. doi:10.3389/fnhum.2021.711873 90. Ortibus E, Laenen A, Verhoeven J, et al. Screening for cerebral visual impairment: value of a CVI questionnaire. Neuropediatrics. Aug 2011;42(4):138–47. doi:10.1055/s-0031-1285908 91. Tsirka A, Liasis A, Kuczynski A, et al. Clinical use of the Insight Inventory in cerebral visual impairment and the effectiveness of tailored habilitational strategies. Dev Med Child Neurol. Nov 2020;62(11):1324–1330. doi:10.1111/dmcn.14650 92. Garcia-Ormaechea I, Gonzalez I, Dupla M, Andres E, Pueyo V. Validation of the Preverbal Visual Assessment (PreViAs) questionnaire. Early Hum Dev. Oct 2014;90(10):635–8. doi:10.1016/j.earlhumdev.2014.08.002 93. Pueyo V, Garcia-Ormaechea I, Gonzalez I, et al. Development of the Preverbal Visual Assessment (PreViAs) questionnaire. Early Hum Dev. Apr 2014;90(4):165–8. doi:10.1016/j.earlhumdev.2014.01.012 94. 陳榮華, 陳心怡. 瑞文氏標準矩陣推理測驗. 台北市: 中國行為科學社. 2006; 95. 洪儷瑜, 張郁雯, 陳秀芬, 陳慶順, 李瑩玓. 基本讀寫字綜合測驗. 台北: 心理. 2003; 96. Rayner K. Eye movements in reading and information processing: 20 years of research. Psychological bulletin. 1998;124(3):372. 97. Palmer SE. Vision science: Photons to phenomenology. MIT press; 1999. 98. Provis JM, Dubis AM, Maddess T, Carroll J. Adaptation of the central retina for high acuity vision: cones, the fovea and the avascular zone. Prog Retin Eye Res. Jul 2013;35:63–81. doi:10.1016/j.preteyeres.2013.01.005 99. Tsai J-L, McConkie GW. Their Eyes? The mind's eye: Cognitive and applied aspects of eye movement research. 2003:159. 100. Yan M, Richter EM, Shu H, Kliegl R. Readers of Chinese extract semantic information from parafoveal words. Psychon Bull Rev. Jun 2009;16(3):561–6. doi:10.3758/PBR.16.3.561 101. Inhoff AW, Liu W. The perceptual span and oculomotor activity during the reading of Chinese sentences. Journal of Experimental Psychology: Human Perception and Performance. 1998;24(1):20. 102. Bennett DM, Gordon G, Dutton GN. The Useful Field of View Test, Normative Data in Children of School Age. Optometry and Vision Science. 2009;86(6):717–721. doi:10.1097/OPX.0b013e3181a7b3b9 103. Black AA, Wood JM, Hoang S, Thomas E, Webber AL. Impact of Amblyopia on Visual Attention and Visual Search in Children. Invest Ophthalmol Vis Sci. Apr 1 2021;62(4):15. doi:10.1167/iovs.62.4.15 104. Gardner MF. Test of visual perceptual skills:(Non-motor). Special Child Publications; 1982. 105. Brown T, Peres L. An overview and critique of the Test of Visual Perception Skills - fourth edition (TVPS-4). Hong Kong J Occup Ther. Dec 2018;31(2):59–68. doi:10.1177/1569186118793847 106. Colosimo S, Brown T. Examining the Convergent Validity of the Test of Visual Perceptual Skills–Fourth Edition (TVPS-4) in the Australian Context. Journal of Occupational Therapy, Schools, & Early Intervention. 2022;15(1):90–110. 107. Alba EF, Bujnowska AM, Rodríguez MS, Solís-Sánchez G, Rodríguez C. Reading competencies in school-age children born preterm: the role of birth weight. Reading and Writing. 2025;doi:10.1007/s11145-025-10653-9 108. Decaillet M, Denervaud S, Huguenin-Virchaux C, et al. Executive functions assessment in very preterm children at school age: A pilot study about a clinical and experimental approach. Appl Neuropsychol Child. Apr–Jun 2025;14(2):182–193. doi:10.1080/21622965.2023.2287059 109. McBryde M, Fitzallen GC, Liley HG, Taylor HG, Bora S. Academic Outcomes of School-Aged Children Born Preterm: A Systematic Review and Meta-analysis. JAMA Netw Open. Apr 1 2020;3(4):e202027. doi:10.1001/jamanetworkopen.2020.2027 110. Hokken MJ, Stein N, Kooiker MJG, Pel JJ. A novel gaze-based visual search task for children with CVI: A twin study. British Journal of Visual Impairment. 2024;43(2):342–349. doi:10.1177/02646196241247973 111. van Veen S, van Wassenaer-Leemhuis AG, van Kaam AH, Oosterlaan J, Aarnoudse-Moens CSH. Visual perceptive skills account for very preterm children's mathematical difficulties in preschool. Early Hum Dev. Feb 2019;129:11–15. doi:10.1016/j.earlhumdev.2018.12.018 112. Zhao Y, Wu X, Cheng Y. Examining factors and mechanisms of reading comprehension and reading fluency: Longitudinal evidence for Chinese children from grade 1 to grade 6. Learning and Individual Differences. 2024;113doi:10.1016/j.lindif.2024.102467 113. Hsu LS, Chan K, Ho CS. Reading fluency as the bridge between decoding and reading comprehension in Chinese children. Front Psychol. 2023;14:1221396. doi:10.3389/fpsyg.2023.1221396 114. Walter K, Manley CE, Bex PJ, Merabet LB. Visual search patterns during exploration of naturalistic scenes are driven by saliency cues in individuals with cerebral visual impairment. Sci Rep. Feb 6 2024;14(1):3074. doi:10.1038/s41598-024-53642-8 115. Chang MY, Borchert MS. Cerebral/Cortical Visual Impairment Classification and Categorization Using Eye Tracking Measures of Oculomotor Function. Ophthalmology Science. 2025;5(3)doi:10.1016/j.xops.2025.100728 | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/102083 | - |
| dc.description.abstract | 腦性視覺損傷(cerebral visual impairment, CVI)是常見於早產兒,主要因大腦中後段視覺路徑損傷造成之視覺功能異常情形,為目前造成已開發與開發中國家兒童低視力的主因之一。腦性視覺功能異常(cerebral visual dysfunction, CVD)是CVI族群中視力沒有受到明顯損傷者,影響個案之視覺訊息處理及眼球動作功能。目前尚缺乏客觀且具有敏感性的評估工具,導致CVD診斷不易。過去研究指出,分析兒童閱讀表現與受其視覺擁擠效應影響之程度可能是有效辨識CVD的策略。本研究透過自行發展之繁體中文擁擠效應閱讀表現測驗(Crowding Effect Reading Performance Test, CERPT),並結合視知覺能力、眼動與學業表現指標,評估多元指標對辨識CVD之可行性。
本研究招募8至13歲之國小階段之足月與早產兒童,並透過Flemish腦性視覺障礙問卷(The Flemish Cerebral Visual Impairment Questionnaire, FCVIQ)進行分組,分為典型發展組與疑似CVD組。進行正式評估時,使用CERPT、視知覺技巧測驗-第四版(Test of Visual Perceptual Skills 4th Edition, TVPS-4)、有效視野測驗(Useful field of view test, UFOV test) 、基本讀寫字綜合測驗、Higher Visual Function 58-Question Inventory for Parents (HVFQI-58 for Parents)等評估,以了解兒童之閱讀表現、視知覺表現、視覺反應速度、選擇性注意力、分散性注意力、學校與日常生活表現與困擾與視覺行為問題發生之情形,並量化兒童之閱讀表現。進行閱讀測驗時搭配兒童版見臻穿戴式眼動儀(Ganzin Sol eye tracker),實驗流程約1至1.5小時。 統計方面,使用描述性統計呈現參與者的人口學與測驗表現,以卡方檢定檢驗組間族群特質是否有顯著差異。組間之測驗結果比較因樣本數少採用Kruskal-Wallis檢定。CERPT部分先分析不同刺激出現先後順序之學習效應,接續比較組別與隨機組別之交互作用與組別主效果,並以事後分析檢驗差異發生之情境。相關性分析使用Spearman等級相關探討變項之間的關係。 本研究經排除不適用個案後,最終納入36名兒童,包含18名典型發展組,與18名疑似CVD組。兩組在性別、年齡、年級及瑞文氏智力測驗表現上均無顯著差異,惟Suspected CVD組在出生體重與妊娠週數顯著低於TD組。在標準化測驗方面,兩組在學業表現、有效視野測驗及視知覺測驗的所有分項與總分均無顯著統計差異。然而,家長填寫的兩份功能性視覺問卷顯示Suspected CVD組得分顯著高於TD組,指出其在日常生活中存在顯著的功能性視覺困難。在CERPT中,平均閱讀時間與擁擠句的跳視次數未見顯著組間差異。然而,針對完整句子閱讀的眼動分析呈現顯著的組別與刺激次序交互作用(p=0.036*)。事後檢定證實,在完整非擁擠句先出現的條件下,Suspected CVD 組的跳視次數顯著多於 TD 組(p=0.040*),顯示Suspected CVD兒童可能較難從簡單的前導情境中獲益並建立穩定的閱讀策略。相關性分析顯示,功能性視覺問卷得分與CERPT的閱讀時間呈顯著正相關,驗證了功能性視覺缺陷可能會反映在閱讀效率的降低上。值得注意的是,眼跳次數與閱讀時間及其他視知覺指標均無顯著相關,暗示眼動策略可能是一個獨立於視覺認知效率之外的鑑別指標。 本研究旨在比較典型發展兒童與疑似腦性視覺障礙早產兒組在各項視覺功能、視知覺與閱讀表現上的差異。研究結果清晰地劃分了兩個組別的特徵,其差異主要體現在日常生活中的行為觀察與複雜情境下的功能性視覺表現上。此外,標準化視知覺測驗未必能反映疑似 CVD 兒童的真實困難。本研究證實,結合功能性問卷與具擁擠效應之動態閱讀任務,更能有效捕捉 CVD 兒童在策略轉換與複雜情境下的功能性異常情形,為臨床評估提供具實證基礎的鑑別指標。 | zh_TW |
| dc.description.abstract | Cerebral visual impairment (CVI), prevalent among preterm infants, is characterized by visual dysfunction resulting primarily from damage to the posterior visual pathways. It stands as a leading cause of pediatric low vision in both developed and developing nations. Cerebral visual dysfunction (CVD) represents a specific group within the CVI spectrum in which individuals exhibit no significant impairment in visual acuity yet manifest deficits in visual information processing and oculomotor function. However, the current paucity of objective and sensitive assessment tools renders the clinical diagnosis of CVD challenging. Previous literature suggests that analyzing reading performance, specifically the susceptibility to the visual crowding effect, may serve as an effective strategy for identifying CVD. This study employed the self-developed traditional Chinese reading test, the Crowding Effect Reading Performance Test (CERPT), with metrics of visual perceptual skills, oculomotor behaviors, and academic achievement, to evaluate the feasibility of a multidimensional assessment approach for identifying CVD.
This study recruited full-term and preterm elementary school-aged children. Participants were classified into a typically developing (TD) group and a suspected CVD group based on the results of the Flemish Cerebral Visual Impairment Questionnaire (FCVIQ). The comprehensive assessment battery included the CERPT, the Test of Visual Perceptual Skills–4th Edition (TVPS-4), the Useful Field of View (UFOV) test, the Battery of the Chinese of Pupils, and the Higher Visual Function 58-Question Inventory for Parents (HVFQI-58 for parents). These instruments were employed to evaluate reading performance, visual perceptual skills, visual processing speed, selective and divided attention, academic and daily functioning, and visual behavioral concerns, as well as to quantify specific reading metrics. During the reading tasks, eye movements were recorded using the Ganzin Sol wearable eye tracker (pediatric version). The entire experimental procedure lasted approximately 1 to 1.5 hours. Descriptive statistics were utilized to present demographic data and test performance. Chi-square tests were conducted to examine significant differences in group characteristics. Due to the limited sample size, the Kruskal-Wallis test was employed to compare assessment results between groups. For the CERPT analysis, the learning effects of stimulus presentation order were first evaluated. Subsequently, the main effects and interaction effects between group and random order were examined, followed by post-hoc analyses to identify specific conditions where differences occurred. Finally, Spearman’s rank correlation analysis was performed to explore the relationships among variables. After excluding ineligible cases, a final sample of 36 children was included in the analysis, comprising 18 in the TD group and 18 in the suspected CVD group. There were no significant differences between the two groups in gender, age, grade level, or intellectual level. However, the suspected CVD group had significantly lower birth weights and shorter gestational ages compared to the TD group. Regarding standardized assessments, no statistically significant differences were found between the groups in academic performance, the UFOV test, or the TVPS-4 across all subtests and total scores. Conversely, results from the two parent-reported visual-related function questionnaires indicated that the suspected CVD group scored significantly higher than the TD group, highlighting substantial functional visual difficulties in daily life. In the CERPT, no significant between-group differences were observed in mean reading time or saccade counts for crowded sentences. However, analysis of oculomotor behaviors during full-sentence reading revealed a significant interaction between Group and Stimulus Order (p=0.036*). Post-hoc tests confirmed that in the "Uncrowded-First" condition, the suspected CVD group exhibited significantly more saccades than the TD group (p=0.040*). This suggests that children with suspected CVD may struggle to benefit from simple priming contexts to establish reading strategies. Correlation analysis demonstrated a significant positive correlation between functional vision questionnaire scores and CERPT reading times, validating that functional visual deficits are reflected in reduced reading efficiency. Notably, saccade counts did not correlate significantly with reading time or other visual perceptual metrics, implying that oculomotor strategy may serve as a distinct discriminative indicator independent of visual cognitive efficiency. The primary objective of this study was to compare differences in visual function, visual perception, and reading performance between typically developing children and preterm children with suspected CVD. The results clearly delineate the distinct characteristics of the two groups, with disparities manifesting primarily in behavioral observations within daily life and functional visual performance under complex contexts. Furthermore, the findings suggest that standardized visual perceptual tests may not fully capture the actual difficulties experienced by children with suspected CVD. This study demonstrates that integrating functional questionnaires with dynamic reading tasks incorporating the crowding effect more effectively captures functional abnormalities related to strategy switching and complex environments. Consequently, this approach provides evidence-based discriminative indicators for clinical assessment. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2026-03-13T16:17:15Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2026-03-13T16:17:15Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 論文口試委員審定書 i
致謝 ii 中文摘要 iii Abstract v Content viii List of Figures xi List of Tables xii List of Appendix xiii Chapter 1. Introduction 1 1.1 Preterm Children Background 1 1.1.1 Definition and Overview of Preterm Children 1 1.1.2 Neurodevelopmental Impairments in Preterm Children 1 1.1.3 Visual Disorders in Preterm Infants 3 1.1.4 Summary 4 1.2 Cerebral Visual Impairment and Dysfunction 5 1.2.1 Overview of Cerebral Visual Impairment (CVI) 5 1.2.2 Focus on Cerebral Visual Dysfunction (CVD) 6 1.2.3 Challenges Faced by School-Aged Preterm Children with CVD 8 1.2.4 Clinical Challenges in Diagnosing CVD 10 1.2.5 Summary 12 1.3 Crowding Effect 12 1.3.1 Overview of Crowding Effect 12 1.3.2 Critical Spacing and Crowding Ratio 13 1.3.3 Potential Impact of Crowding on Children’s Reading 15 1.3.4 Summary 15 1.4 Reading and Visual Search Abilities in Preterm Children 15 1.4.1 Visual Search Ability 15 1.4.2 Visual Search During Reading 16 1.4.3 Reading Performance in Preterm Children with CVD 17 1.4.4 Summary 18 1.5 Research Objectives and Hypotheses 19 1.5.1 Research Objectives 19 1.5.2 Hypotheses 20 Chapter 2. Methods 21 2.1 Research Design 21 2.1.1 Participants Recruitment 21 2.1.2 Assessment Procedure 22 2.2 Participants 23 2.2.1 Inclusion Criteria 23 2.2.2 Exclusion Criteria 23 2.3 Assessment Measures 24 2.3.1 Basic Information and Medical History Form 24 2.3.2 Visual Behavior Questionnaires 25 2.3.3 Standardized Cognitive Assessment 27 2.3.4 Standardized Academic Performance Assessment 28 2.3.5 Crowding Effect Reading Performance Test (CERPT) 29 2.3.6 Useful Field of view test (UFOV test) 31 2.3.7 Higher-Order Visual Perceptual Assessments 32 2.4 Statistical Methods 33 Chapter 3. Results 34 3.1 Participants Characteristics 34 3.2 Demographic Data 34 3.3 Differences in Standardized Academic and Visual Perceptual Performance 35 3.3.1 Standardized Academic Performance 35 3.3.2 Useful Field of View (UFOV) Assessment 36 3.3.3 Test of Visual Perceptual Skills, 4th Edition (TVPS-4) 36 3.3.4 Crowding Effect Reading Performance Test (CERPT) 37 3.4 Correlation Analysis 40 Chapter 4. Discussion 43 4.1 Key Findings 43 4.2 Comparison of Assessment Tool Performance 43 4.2.1 Performance of Typically Developing Children and Preterm Children with Suspected CVD on UFOV, TVPS-4, and Standardized Academic Assessments 43 4.2.2 Performance and Oculomotor Behaviors during the CERPT in Typically Developing Children and Preterm Children with Suspected CVD 46 4.3 Correlations among CERPT Performance, TVPS-4 Scores, and Academic Achievement in Typically Developing Children and Preterm Children with Suspected CVD 49 Chapter 5. Conclusion 52 References 70 | - |
| dc.language.iso | en | - |
| dc.subject | 腦性視覺功能異常 | - |
| dc.subject | 學齡兒童 | - |
| dc.subject | 擁擠效應 | - |
| dc.subject | 閱讀表現 | - |
| dc.subject | 學業表現 | - |
| dc.subject | academic performance | - |
| dc.subject | cerebral visual impairment | - |
| dc.subject | crowding effect | - |
| dc.subject | reading performance | - |
| dc.subject | school-aged children | - |
| dc.title | 探討潛在腦性視覺功能異常早產兒童與典型發展兒童在國小階段視覺擁擠效應及閱讀任務表現之差異:橫斷面研究 | zh_TW |
| dc.title | Exploring Differences in Visual Crowding Effect and Reading Performance Between Premature Children with Suspected Cerebral Visual Dysfunction and Typically Developing Children at School Age: A Cross-Sectional Study | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 114-1 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 吳為吉;黃碧群;陳雅苹 | zh_TW |
| dc.contributor.oralexamcommittee | Wei-Chi Wu;Pi-Chun Huang;Ya-Ping Chen | en |
| dc.subject.keyword | 腦性視覺功能異常,學齡兒童擁擠效應閱讀表現學業表現 | zh_TW |
| dc.subject.keyword | academic performance,cerebral visual impairmentcrowding effectreading performanceschool-aged children | en |
| dc.relation.page | 116 | - |
| dc.identifier.doi | 10.6342/NTU202600565 | - |
| dc.rights.note | 同意授權(限校園內公開) | - |
| dc.date.accepted | 2026-02-04 | - |
| dc.contributor.author-college | 醫學院 | - |
| dc.contributor.author-dept | 職能治療學系 | - |
| dc.date.embargo-lift | 2026-03-14 | - |
| 顯示於系所單位: | 職能治療學系 | |
文件中的檔案:
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-114-1.pdf 授權僅限NTU校內IP使用(校園外請利用VPN校外連線服務) | 14.27 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。
