Abstract
Phonological processing skills are foundational for becoming a proficient reader and have only partially been linked to genetic and shared environmental effects in twin studies. This twin difference study of 88 twin pairs (age x̄ = 16.34 ± 1.66 years; 64% female; 65% monozygotic) was designed to examine brain structure and perinatal reasons for twin differences in a measure of phonological decoding accuracy. Diffeomorphic spatial normalization was used align T1-weighted images collected from the 176 participants to a common coordinate space. Jacobian determinant images that represent the amount of volumetric displacement to spatially normalize the T1-weighted images were then examined using voxel-based analyses to determine the extent to which twin differences in voxel-wise volumetric displacement were associated with twin differences in phonological decoding accuracy. Twins with larger lateral ventricles compared to their co-twin, particularly in the left hemisphere, had significantly poorer phonological decoding accuracy. This lateral ventricle effect depended on twins with relatively large differences in phonological decoding accuracy and white matter microstructure in fiber tracts adjacent to the lateral ventricles. Perinatal risk variables, such as slow fetal growth, were hypothesized to explain these twin differences but the current data did not provide clear perinatal explanations for the lateral ventricle and phonological decoding accuracy association. Together, the results suggest that increased lateral ventricle size is a marker for phonological decoding accuracy that is lower than expected based on common genetic and environmental influences on twin brain development.
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Data availability
The de-identified data used in this study are available with completion of a data use agreement through the Ohio State University.
References
Aboud KS, Bailey SK, Petrill SA, Cutting LE (2016) Comprehending text versus reading words in young readers with varying reading ability: distinct patterns of functional connectivity from common processing hubs. Dev Sci 19(4):632–656. https://doi.org/10.1111/desc.12422
Adrian J, Sawyer C, Bakeman R, Haist F, Akshoomoff N (2023) Longitudinal structural and diffusion-weighted neuroimaging of young children born preterm. Pediatr Neurol 141:34–41. https://doi.org/10.1016/j.pediatrneurol.2022.12.008
Andreola C, Mascheretti S, Belotti R, Ogliari A, Marino C, Battaglia M, Scaini S (2021) The heritability of reading and reading-related neurocognitive components: A multi-level meta-analysis. Neurosci Biobehav Rev 121:175–200. https://doi.org/10.1016/j.neubiorev.2020.11.016
Aragón C, Robinson DA, Kocher M, Barrick K, Chen L, Zierhut H (2024) Genetic etiologies and diagnostic methods for congenital ventriculomegaly and hydrocephalus: A scoping review. Birth Defects Res 116(1):e2287. https://doi.org/10.1002/bdr2.2287
Asbury K, Moran N, Plomin R (2016) Nonshared environmental influences on academic achievement at age 16: A qualitative hypothesis-generating monozygotic-twin differences study. AERA Open 2(4):2332858416673596. https://doi.org/10.1177/233285841667359
Ashburner J (2009) Computational anatomy with the SPM software. Magn Reson Imaging 27(8):1163–1174. https://doi.org/10.1016/j.mri.2009.01.006
Ashburner J, Barnes G, Chen C-C, Daunizeau J, Flandin G, Friston K, Kiebel S, Kilner J, Litvak V, Moran R (2014) SPM12 manual. Wellcome Trust Centre for Neuroimaging, London, UK 2464 (4)
Avants BB, Tustison N, Song G (2009) Advanced normalization tools (ANTS). Insight J 2(365):1–35
Baaré WF, van Oel CJ, Pol HEH, Schnack HG, Durston S, Sitskoorn MM, Kahn RS (2001) Volumes of brain structures in twins discordant for schizophrenia. Arch Gen Psychiatry 58(1):33–40. https://doi.org/10.1001/archpsyc.58.1.33
Brambati SM, Termine C, Ruffino M, Danna M, Lanzi G, Stella G, Cappa SF, Perani D (2006) Neuropsychological deficits and neural dysfunction in Familial dyslexia. Brain Res 1113(1):174–185. https://doi.org/10.1016/j.brainres.2006.06.099
Brett M, Anton JL, Valabregue R, Poline JB (2002) Region of interest analysis using the MarsBar toolbox for SPM 99. NeuroImage 16(2):S497
Casey KF, Levesque ML, Szyf M, Ismaylova E, Verner MP, Suderman M, Vitaro F, Brendgen M, Dionne G, Boivin M, Tremblay RE, Booij L (2017) Birth weight discordance, DNA methylation, and cortical morphology of adolescent monozygotic twins. Hum Brain Mapp 38(4):2037–2050. https://doi.org/10.1002/hbm.23503
Cauley KA, Cataltepe O (2014) Axial diffusivity of the Corona radiata correlated with ventricular size in adult hydrocephalus. Am J Roentgenol 203(1):170–179. https://doi.org/10.2214/AJR.12.10009
Choi ES, Jung YM, Cho KD, Ha S, Sohn J, Hong SJ, Oh MJ, Park CW, Park JS, Jun JK (2023) Long-term adverse neurodevelopmental outcomes of discordant twins delivered at term: A nationwide population‐based study. BJOG 130(11):1370–1378. https://doi.org/10.1111/1471-0528.17494
Connor C, Morrison FJ, Katch EL (2004) Beyond the reading wars: the effect of classroom instruction by child interactions on early reading. Sci Stud Read 8(4):305–336. https://doi.org/10.1207/s1532799xssr0804_1
Dhiman S, Hickey RE, Thorn KE, Moss HG, McKinnon ET, Adisetiyo V, Ades-Aron B, Jensen JH, Benitez A (2024) PyDesigner v1. 0: A pythonic implementation of the DESIGNER pipeline for diffusion magnetic resonance imaging. J Vis Exp 207:e66397. https://doi.org/10.3791/66397
Dodson CK, Travis KE, Borchers LR, Marchman VA, Ben-Shachar M, Feldman HM (2018) White matter properties associated with pre‐reading skills in 6‐year‐old children born preterm and at term. Dev Med Child Neurol 60(7):695–702. https://doi.org/10.1111/dmcn.13783
Eckert MA, Berninger VW, Vaden KI, Gebregziabher M, Tsu L (2016) Gray matter features of reading disability: A combined meta-analytic and direct analysis approach. ENeuro 3(1). https://doi.org/10.1523/ENEURO.0103-15.2015
Eckert MA, Vaden KI Jr, Maxwell AB, Cute SL, Gebregziabher M, Berninger VW (2017) Common brain structure findings across children with varied reading disability profiles. Sci Rep 7(1):6009. https://doi.org/10.1038/s41598-017-05691-5
Eckert MA, Vaden KI Jr, Iuricich F, Dyslexia Data Consortium (2022) Cortical asymmetries at different Spatial hierarchies relate to phonological processing ability. PLoS Biol 20(4):e3001591. https://doi.org/10.1371/journal.pbio.3001591
Eising E, Mirza-Schreiber N, De Zeeuw EL, Wang CA, Truong DT, Allegrini AG, Shapland CY, Zhu G, Wigg KG, Gerritse ML (2022) Genome-wide analyses of individual differences in quantitatively assessed reading-and language-related skills in up to 34,000 people. Proc Natl Acad Sci U S A 119(35):e2202764119. https://doi.org/10.1073/pnas.2202764119
Erbeli F, Rice M, Paracchini S (2021) Insights into dyslexia genetics research from the last two decades. Brain Sci 12(1):27. https://doi.org/10.3390/brainsci12010027
Feng X, Altarelli I, Monzalvo K, Ding G, Ramus F, Shu H, Dehaene S, Meng X, Dehaene-Lambertz G (2020) A universal reading network and its modulation by writing system and reading ability in French and Chinese children. Elife 9:e54591. https://doi.org/10.7554/eLife.54591
Gaser C, Dahnke R, Thompson P, Kurth F, Luders E, the Alzheimer's Disease Neuroimaging Initiative (2024) CAT–A computational anatomy toolbox for the analysis of structural MRI data. GigaScience, Volume 13, 2024, giae049. https://doi.org/10.1093/gigascience/giae049
Gayán J, Olson RK (2003) Genetic and environmental influences on individual differences in printed word recognition. J Exp Child Psychol 84(2):97–123. https://doi.org/10.1016/s0022-0965(02)00181-9
Gilmore JH, Smith LC, Wolfe HM, Hertzberg BS, Smith JK, Chescheir NC, Evans DD, Kang C, Hamer RM, Lin W (2008) Prenatal mild ventriculomegaly predicts abnormal development of the neonatal brain. Biol Psychiatry 64(12):1069–1076. https://doi.org/10.1016/j.biopsych.2008.07.031
Glasser MF, Coalson TS, Robinson EC, Hacker CD, Harwell J, Yacoub E, Ugurbil K, Andersson J, Beckmann CF, Jenkinson M (2016) A multi-modal parcellation of human cerebral cortex. Nature 536(7615):171–178. https://doi.org/10.1038/nature18933
Graves WW, Binder JR, Desai RH, Humphries C, Stengel BC, Seidenberg MS (2014) Anatomy is strategy: skilled reading differences associated with structural connectivity differences in the reading network. Brain Lang 133:1–13. https://doi.org/10.1016/j.bandl.2014.03.005
Grigorenko EL (2022) The role of genetic factors in reading and its development across languages and writing systems. Sci Stud Read 26(2):96–110. https://doi.org/10.1080/10888438.2022.2033244
Groene SG, de Vries LS, Slaghekke F, Haak MC, Heijmans BT, de Bruin C, Roest AA, Lopriore E, van Klink JM, Steggerda SJ (2022) Changes in structural brain development after selective fetal growth restriction in monochorionic twins. Ultrasound Obstet Gynecol 59(6):747–755. https://doi.org/10.1002/uog.24832
Halling C, Malone FD, Breathnach FM, Stewart MC, McAuliffe FM, Morrison JJ, Dicker P, Manning F, Corcoran JD, Consortium PIR (2016) Neuro-developmental outcome of a large cohort of growth discordant twins. Eur J Pediatr 175:381–389. https://doi.org/10.1007/s00431-015-2648-8
Harlaar N, Cutting L, Deater-Deckard K, DeThorne LS, Justice LM, Schatschneider C, Thompson LA, Petrill SA (2010) Predicting individual differences in reading comprehension: A twin study. Ann Dyslexia 60:265–288. https://doi.org/10.1007/s11881-010-0044-7
Hartley RS, Hitti J, Emanuel I (2002) Size-discordant twin pairs have higher perinatal mortality rates than nondiscordant pairs. Am J Obstet Gynecol 187(5):1173–1178. https://doi.org/10.1067/mob.2002.126961
Haworth CM, Kovas Y, Harlaar N, Hayiou-Thomas ME, Petrill SA, Dale PS, Plomin R (2009) Generalist genes and learning disabilities: A multivariate genetic analysis of low performance in reading, mathematics, Language and general cognitive ability in a sample of 8000 12‐year‐old twins. J Child Psychol Psychiatry 50(10):1318–1325. https://doi.org/10.1111/j.1469-7610.2009.02114.x
He Q, Xue G, Chen C, Chen C, Lu Z-L, Dong Q (2013) Decoding the neuroanatomical basis of reading ability: A multivoxel morphometric study. J Neurosci 33(31):12835–12843. https://doi.org/10.1523/JNEUROSCI.0449-13.2013
Herrmann D, Suling M, Reisch L, Siani A, De Bourdeaudhuij I, Maes L, Santaliestra-Pasías AM, Veidebaum T, Molnár D, Pala V, Kourides Y, Eiben G, Bammann K, IDEFICS Consortium (2011). Repeatability of maternal report on prenatal, perinatal and early postnatal factors: findings from the IDEFICS parental questionnaire. Int J Obes (Lond) 35 Suppl 1:S52-60. https://doi.org/10.1038/ijo.2011.35. PMID: 21483423
Hoeft F, Meyler A, Hernandez A, Juel C, Taylor-Hill H, Martindale JL, McMillon G, Kolchugina G, Black JM, Faizi A (2007a) Functional and morphometric brain dissociation between dyslexia and reading ability. Proc Natl Acad Sci U S A 104(10):4234–4239. https://doi.org/10.1073/pnas.0609399104
Hoeft F, Ueno T, Reiss AL, Meyler A, Whitfield-Gabrieli S, Glover GH, Keller TA, Kobayashi N, Mazaika P, Jo B (2007b) Prediction of children’s reading skills using behavioral, functional, and structural neuroimaging measures. Behav Neurosci 121(3):602. https://doi.org/10.1037/0735-7044.121.3.602
Horowitz-Kraus T, Toro-Serey C, DiFrancesco M (2015) Increased resting-state functional connectivity in the cingulo-opercular cognitive-control network after intervention in children with reading difficulties. PLoS ONE 10(7):e0133762. https://doi.org/10.1371/journal.pone.0133762
Johns CL, Jahn AA, Jones HR, Kush D, Molfese PJ, Van Dyke JA, Magnuson JS, Tabor W, Mencl WE, Shankweiler DP (2018) Individual differences in decoding skill, print exposure, and cortical structure in young adults. Lang Cogn Neurosci 33(10):1275–1295. https://doi.org/10.1080/23273798.2018.1476727
Jonsson H, Magnusdottir E, Eggertsson HP, Stefansson OA, Arnadottir GA, Eiriksson O, Zink F, Helgason EA, Jonsdottir I, Gylfason A, Jonasdottir A, Jonasdottir A, Beyter D, Steingrimsdottir T, Norddahl GL, Magnusson OT, Masson G, Halldorsson BV, Thorsteinsdottir U, Helgason A, Sulem P, Gudbjartsson DF, Stefansson K (2025) Differences between germline genomes of monozygotic twins. Nat Genet 53(1):27–34. https://doi.org/10.1038/s41588-020-00755-1
Koirala N, Perdue MV, Su X, Grigorenko EL, Landi N (2021) Neurite density and arborization is associated with reading skill and phonological processing in children. NeuroImage 241:118426. https://doi.org/10.1016/j.neuroimage.2021.118426
Krafnick AJ, Flowers DL, Napoliello EM, Eden GF (2011) Gray matter volume changes following reading intervention in dyslexic children. NeuroImage 57(3):733–741. https://doi.org/10.1016/j.neuroimage.2010.10.062
Kremen WS, Panizzon MS, Neale MC, Fennema-Notestine C, Prom-Wormley E, Eyler LT, Stevens A, Franz CE, Lyons MJ, Grant MD (2012) Heritability of brain ventricle volume: converging evidence from inconsistent results. Neurobiol Aging 33(1):1–8. https://doi.org/10.1016/j.neurobiolaging.2010.02.007
Larsen SA, Byrne B, Little CW, Coventry WL, Ho CS, Olson RK, Stevenson A (2019) Identical genes, unique environments: A qualitative exploration of persistent monozygotic-twin discordance in literacy and numeracy. Front Educ 4:21. https://doi.org/10.3389/feduc.2019.00021
Leonard CM, Eckert MA, Lombardino LJ, Oakland T, Kranzler J, Mohr CM, King WM, Freeman A (2001) Anatomical risk factors for phonological dyslexia. Cereb Cortex 11(2):148–157. https://doi.org/10.1093/cercor/11.2.148
Liberman IY, Shankweiler D, Liberman AM (1989) The alphabetic principle and learning to read. Phonology and reading disability: solving the reading puzzle. The University of Michigan Press
Loh WY, Anderson PJ, Cheong JL, Spittle AJ, Chen J, Lee KJ, Molesworth C, Inder TE, Connelly A, Doyle LW (2020) Longitudinal growth of the basal ganglia and thalamus in very preterm children. Brain Imaging Behav 14:998–1011. https://doi.org/10.1007/s11682-019-00057-z
McGue M, Osler M, Christensen K (2010) Causal inference and observational research: the utility of twins. Perspect Psychol Sci 5(5):546–556. https://doi.org/10.1177/1745691610383511
McNeil TF, Cantor-Graae E, Weinberger DR (2000) Relationship of obstetric complications and differences in size of brain structures in monozygotic twin pairs discordant for schizophrenia. Am J Psychiatry 157(2):203–212. https://doi.org/10.1176/appi.ajp.157.2.203
Meisler SL, Gabrieli JD (2022) A large-scale investigation of white matter microstructural associations with reading ability. NeuroImage 249:118909. https://doi.org/10.1016/j.neuroimage.2022.118909
Melby-Lervåg M, Lyster S-AH, Hulme C (2012) Phonological skills and their role in learning to read: A meta-analytic review. Psychol Bull 138(2):322. https://doi.org/10.1037/a0026744
Murphy KA, Jogia J, Talcott JB (2019) On the neural basis of word reading: A meta-analysis of fMRI evidence using activation likelihood Estimation. J Neurolinguistics 49:71–83. https://doi.org/10.1016/j.jneuroling.2018.08.005
Park KB, Chapman T, Aldinger KA, Mirzaa GM, Zeiger J, Beck A, Glass IA, Hevner RF, Jansen AC, Marshall DA (2021) The spectrum of brain malformations and disruptions in twins. Am J Med Genet A 185(9):2690–2718. https://doi.org/10.1002/ajmg.a.61972
Pedersen NL, Miller BL, Loebach Wetherell J, Vallø J, Toga AW, Knutson N, Mehringer CM, Small GW, Gatz M (1999) Neuroimaging findings in twins discordant for Alzheimer’s disease. Dement Geriatr Cogn Disord 10(1):51–58. https://doi.org/10.1159/000017097
Peper JS, Schnack HG, Brouwer RM, Van Baal GCM, Pjetri E, Szekely E, van Leeuwen M, van den Berg SM, Collins DL, Evans AC (2009) Heritability of regional and global brain structure at the onset of puberty: A magnetic resonance imaging study in 9-year‐old twin pairs. Hum Brain Mapp 30(7):2184–2196. https://doi.org/10.1002/hbm.20660
Perdue MV, Mednick J, Pugh KR, Landi N (2020) Gray matter structure is associated with reading skill in typically developing young readers. Cereb Cortex 30(10):5449–5459. https://doi.org/10.1093/cercor/bhaa126
Petrill S, Logan J, Hart S, Vincent P, Thompson L, Kovas Y, Plomin R (2012) Math fluency is etiologically distinct from untimed math performance, decoding fluency, and untimed reading performance: evidence from a twin study. J Learn Disabil 45(4):371–381. https://doi.org/10.1177/0022219411407926
Plomin R, Daniels D (2011) Why are children in the same family so different from one another? Int J Epidemiol 40(3):563–582. https://doi.org/10.1093/ije/dyq148
Raskind WH, Peter B, Richards TL, Eckert MA, Berninger VW (2013) The genetics of reading disabilities: from phenotypes to candidate genes. Front Psychol 3:40490. https://doi.org/10.3389/fpsyg.2012.00601
Reveley A, Clifford C, Reveley M, Murray R (1982) Cerebral ventricular size in twins discordant for schizophrenia. Lancet 319(8271):540–541. https://doi.org/10.1016/s0140-6736(82)92047-5
Rice ML, Zubrick SR, Taylor CL, Gayán J, Bontempo DE (2014) Late Language emergence in 24-month-old twins: heritable and increased risk for late Language emergence in twins. J Speech Lang Hear Res. https://doi.org/10.1044/1092-4388(2013/12-0350)
Richlan F (2020) The functional neuroanatomy of developmental dyslexia across languages and writing systems. Front Psychol 11:155. https://doi.org/10.3389/fpsyg.2020.00155
Roy E, Richie-Halford A, Kruper J, Narayan M, Bloom D, Nedelec P, Rauschecker AM, Sugrue LP, Brown TT, Jernigan TL (2024) White matter and literacy: A dynamic system in flux. Dev Cogn Neurosci 65:101341. https://doi.org/10.1016/j.dcn.2024.101341
Royer H (2009) Separated at girth: US twin estimates of the effects of birth weight. Am Econ J Appl Econ 1(1):49–85. https://doi.org/10.1257/app.1.1.49
Rutter M, Thorpe K, Greenwood R, Northstone K, Golding J (2003) Twins as a natural experiment to study the causes of mild Language delay: I: design; twin–singleton differences in Language, and obstetric risks. J Child Psychol Psychiatry 44(3):326–341. https://doi.org/10.1111/1469-7610.00125
Saito A, Kamagata K, Ueda R, Nakazawa M, Andica C, Irie R, Nakajima M, Miyajima M, Hori M, Tanaka F (2020) Ventricular volumetry and free-water corrected diffusion tensor imaging of the anterior thalamic radiation in idiopathic normal pressure hydrocephalus. J Neuroradiol 47(4):312–317. https://doi.org/10.1016/j.neurad.2019.04.003
Schilling KG, Nath V, Hansen C, Parvathaneni P, Blaber J, Gao Y, Neher P, Aydogan DB, Shi Y, Ocampo-Pineda M (2019) Limits to anatomical accuracy of diffusion tractography using modern approaches. NeuroImage 185:1–11. https://doi.org/10.1016/j.neuroimage.2018.10.029
Schushan-Eisen I, Maayan-Metzger A, Mazkereth R, Leibovitch L, Strauss T (2018) Risk factors for brain damage among preterm twins. J Matern Fetal Neonatal Med 31(4):489–493. https://doi.org/10.1080/14767058.2017.1288210
Sihvonen AJ, Virtala P, Thiede A, Laasonen M, Kujala T (2021) Structural white matter connectometry of reading and dyslexia. NeuroImage 241:118411. https://doi.org/10.1016/j.neuroimage.2021.118411
Smith SM, Nichols TE (2009) Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. NeuroImage 44(1):83–98. https://doi.org/10.1016/j.neuroimage.2008.03.061
Smith SM, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols TE, Mackay CE, Watkins KE, Ciccarelli O, Cader MZ, Matthews PM (2006) Tract-based Spatial statistics: Voxelwise analysis of multi-subject diffusion data. NeuroImage 31(4):1487–1505. https://doi.org/10.1016/j.neuroimage.2006.02.024
Taran N, Farah R, Gashri C, Gitman E, Rosch K, Schlaggar BL, Horowitz-Kraus T (2023) Executive functions–based reading training engages the cingulo-opercular and dorsal attention networks. Netw Neurosci 7(4):1452–1482. https://doi.org/10.1162/netn_a_00335
Tikhodeyev ON, Shcherbakova ОV (2019) The problem of non-shared environment in behavioral genetics. Behav Genet 49(3):259–269. https://doi.org/10.1007/s10519-019-09950-1
Torgesen JK, WRK, Rashotte CA (2012) Test of word reading Efficiency–Second edition. Pro-Ed, Austin, TX
Torre G-AA, Eden GF (2019) Relationships between Gray matter volume and reading ability in typically developing children, adolescents, and young adults. Dev Cogn Neurosci 36:100636. https://doi.org/10.1016/j.dcn.2019.100636
Tournier J-D, Smith R, Raffelt D, Tabbara R, Dhollander T, Pietsch M, Christiaens D, Jeurissen B, Yeh C-H, Connelly A (2019) MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation. NeuroImage 202:116137. https://doi.org/10.1016/j.neuroimage.2019.116137
Vadgama N, Pittman A, Simpson M, Nirmalananthan N, Murray R, Yoshikawa T, De Rijk P, Rees E, Kirov G, Hughes D (2019) De Novo single-nucleotide and copy number variation in discordant monozygotic twins reveals disease-related genes. Eur J Hum Genet 27(7):1121–1133. https://doi.org/10.1038/s41431-019-0376-7
Vandermosten M, Vanderauwera J, Theys C, De Vos A, Vanvooren S, Sunaert S, Wouters J, Ghesquière P (2015) A DTI tractography study in pre-readers at risk for dyslexia. Dev Cogn Neurosci 14:8–15. https://doi.org/10.1016/j.dcn.2015.05.006
Wagner RK, Torgesen JK (1987) The nature of phonological processing and its causal role in the acquisition of reading skills. Psychol Bull 101(2):192. https://doi.org/10.1037/0033-2909.101.2.192
Wang K, Banich MT, Reineberg AE, Leopold DR, Willcutt EG, Cutting LE, Del Tufo SN, Thompson LA, Opfer J, Kanayet FJ (2020) Left posterior prefrontal regions support domain-general executive processes needed for both reading and math. J Neuropsychol 14(3):467–495. https://doi.org/10.1111/jnp.12201
Warrington S, Bryant KL, Khrapitchev AA, Sallet J, Charquero-Ballester M, Douaud G, Jbabdi S, Mars RB, Sotiropoulos SN (2020) XTRACT-Standardised protocols for automated tractography in the human and macaque brain. NeuroImage 217:116923. https://doi.org/10.1016/j.neuroimage.2020.116923
Welcome SE, Joanisse MF (2014) Individual differences in white matter anatomy predict dissociable components of reading skill in adults. NeuroImage 96:261–275. https://doi.org/10.1016/j.neuroimage.2014.03.069
Woodcock RW (2011) Woodcock reading mastery tests, third edition (WRMT-III). APA PsycTests. https://doi.org/10.1037/t15178-000
Yeatman JD, Dougherty RF, Rykhlevskaia E, Sherbondy AJ, Deutsch GK, Wandell BA, Ben-Shachar M (2011) Anatomical properties of the arcuate fasciculus predict phonological and reading skills in children. J Cogn Neurosci 23(11):3304–3317. https://doi.org/10.1162/jocn_a_00061
Yeatman JD, Dougherty RF, Ben-Shachar M, Wandell BA (2012) Development of white matter and reading skills. Proc Natl Acad Sci U S A 109(44):E3045–E3053. https://doi.org/10.1073/pnas.1206792109
Younes K, Hasan KM, Kamali A, McGough CE, Keser Z, Hasan O, Melicher T, Kramer LA, Schulz PE, Researchers ADNI (2019) Diffusion tensor imaging of the superior thalamic radiation and cerebrospinal fluid distribution in idiopathic normal pressure hydrocephalus. J Neuroimaging 29(2):242–251. https://doi.org/10.1111/jon.12581
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This research was supported by Eunice Kennedy Shriver National Institute of Child Health and Human Development grants HD069374, HD038075, and HD059215.
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M.A.E. conceptualized the study, acquired the de-identified data, performed the data analysis and interpretation, and drafted the manuscript. K.I.V. contributed to image processing and manuscript development. E.C.B. contributed to data analysis and interpretation of the twin dis(similarity) results. S.A.P. directed the parent project that established the dataset used in this study and contributed to manuscript development.
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Eckert, M.A., Vaden, K.I., Bartley, E.C. et al. Twin differences in lateral ventricle size accompany twin differences in phonological decoding. Brain Struct Funct 230, 129 (2025). https://doi.org/10.1007/s00429-025-02950-4
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DOI: https://doi.org/10.1007/s00429-025-02950-4