Abstract
Shortly after reading instruction, a region in the ventral occipital temporal cortex (vOTC) of the left hemisphere, the Visual Word Form Area (VWFA), becomes specialized for written words. Its reproducible location across scripts suggests important anatomical constraints, such as specific patterns of connectivity, notably to spoken language areas. Here, we explored the structural connectivity of the emerging VWFA in terms of its specificity relative to other ventral visual regions and its stability throughout the process of reading instruction in ten children studied longitudinally over 2 years. Category-specific regions for words, houses, faces, and tools were identified in the left vOTC of each subject with functional MRI. With diffusion MRI and tractography, we reconstructed the connections of these regions at two time points (mean age ± standard deviation: 6.2 ± 0.3, 7.2 ± 0.4 years). We first showed that the regions for each visual category harbor their own specific connectivity, all of which precede reading instruction and remain stable throughout development. The most specific connections of the VWFA were to the dorsal posterior parietal cortex. We then showed that microstructural changes in these connections correlated with improvements in reading scores over the first year of instruction but not 1 year later in a subsample of eight children (age: 8.4 ± 0.3 years). These results suggest that the VWFA location depends on its connectivity to distant regions, in particular, the left inferior parietal region which may play a crucial role in visual field maps and eye movement dynamics in addition to attentional control in letter-by-letter reading and disambiguation of mirror-letters during the first stages of learning to read.
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References
Adibpour P, Dubois J, Dehaene-Lambertz G (2018) Right but not left hemispheric discrimination of faces in infancy. Nat Hum Behav 2:67–79. https://doi.org/10.1038/s41562-017-0249-4
Baker CI, Liu J, Wald LL et al (2007) Visual word processing and experiential origins of functional selectivity in human extrastriate cortex. Proc Natl Acad Sci 104:9087–9092. https://doi.org/10.1073/pnas.0703300104
Beaulieu C, Plewes C, Paulson LA et al (2005) Imaging brain connectivity in children with diverse reading ability. Neuroimage 25:1266–1271. https://doi.org/10.1016/j.neuroimage.2004.12.053
Bolger DJ, Perfetti CA, Schneider W (2005) Cross-cultural effect on the brain revisited: universal structures plus writing system variation. Hum Brain Mapp 25:92–104. https://doi.org/10.1002/hbm.20124
Bouhali F, Thiebaut de Schotten M, Pinel P et al (2014) Anatomical connections of the visual word form area. J Neurosci 34:15402–15414. https://doi.org/10.1523/JNEUROSCI.4918-13.2014
Brem S, Bach S, Kucian K et al (2010) Brain sensitivity to print emerges when children learn letter-speech sound correspondences. Proc Natl Acad Sci USA 107:7939–7944. https://doi.org/10.1073/pnas.0904402107
Broce IJ, Bernal B, Altman N et al (2018) Fiber pathways supporting early literacy development in 5–8-year-old children. Brain Cogn. https://doi.org/10.1016/j.bandc.2018.12.004
Cantlon JF, Pinel P, Dehaene S, Pelphrey KA (2011) Cortical representations of symbols, objects, and faces are pruned back during early childhood. Cereb Cortex 21:191–199. https://doi.org/10.1093/cercor/bhq078
Carreiras M, Seghier ML, Baquero S et al (2009) An anatomical signature for literacy. Nature 461:983–986. https://doi.org/10.1038/nature08461
Cattinelli I, Borghese NA, Gallucci M, Paulesu E (2013) Reading the reading brain: a new meta-analysis of functional imaging data on reading. J Neurolinguistics 26:214–238. https://doi.org/10.1016/j.jneuroling.2012.08.001
Chan S, Tang S wing, Tang K wing, et al (2009) Hierarchical coding of characters in the ventral and dorsal visual streams of Chinese language processing. Neuroimage 48:423–435. https://doi.org/10.1016/j.neuroimage.2009.06.078
Coggan DD, Liu W, Baker DH, Andrews TJ (2016) Category-selective patterns of neural response in the ventral visual pathway in the absence of categorical information. Neuroimage 135:107–114. https://doi.org/10.1167/15.12.622
Cohen L, Dehaene S (2004) Specialization within the ventral stream: The case for the visual word form area. Neuroimage 22:466–476. https://doi.org/10.1016/j.neuroimage.2003.12.049
Cohen L, Lehéricy S, Chochon F et al (2002) Language-specific tuning of visual cortex? Functional properties of the Visual Word Form Area. Brain 125:1054–1069. https://doi.org/10.1093/brain/awf094
Cohen L, Martinaud O, Lemer C et al (2003) Visual word recognition in the left and right hemispheres: anatomical and functional correlates of peripheral alexias. Cereb Cortex 13:1313–1333. https://doi.org/10.1093/cercor/bhg079
Cohen L, Dehaene S, Vinckier F et al (2008) Reading normal and degraded words: Contribution of the dorsal and ventral visual pathways. Neuroimage 40:353–366. https://doi.org/10.1016/j.neuroimage.2007.11.036
Cui Z, Xia Z, Su M et al (2016) Disrupted white matter connectivity underlying developmental dyslexia: a machine learning approach. Hum Brain Mapp 37:1443–1458. https://doi.org/10.1002/hbm.23112
Dehaene S, Dehaene-Lambertz G (2016) Is the brain prewired for letters? Nat Neurosci 19:1192–1193. https://doi.org/10.1038/nn.4369
Dehaene S, Cohen L, Sigman M, Vinckier F (2005) The neural code for written words: a proposal. Trends Cogn Sci 9:335–341. https://doi.org/10.1016/j.tics.2005.05.004
Dehaene S, Nakamura K, Jobert A et al (2010a) Why do children make mirror errors in reading? Neural correlates of mirror invariance in the visual word form area. Neuroimage 49:1837–1848. https://doi.org/10.1016/j.neuroimage.2009.09.024
Dehaene S, Pegado F, Braga LW et al (2010b) How learning to read changes the cortical networks for vision and language. Science 330:1359–1364. https://doi.org/10.1126/science.1194140
Dehaene S, Cohen L, Morais J, Kolinsky R (2015) Illiterate to literate: behavioural and cerebral changes induced by reading acquisition. Nat Rev Neurosci 16:234–244. https://doi.org/10.1038/nrn3924
Dehaene-Lambertz G, Monzalvo K, Dehaene S (2018) The emergence of the visual word form: longitudinal evolution of category-specific ventral visual areas during reading acquisition. PLOS Biol 16:e2004103. https://doi.org/10.1371/journal.pbio.2004103
Descoteaux M, Angelino E, Fitzgibbons S, Deriche R (2007) Regularized, fast, and robust analytical Q-ball imaging. Magn Reson Med 58:497–510. https://doi.org/10.1002/mrm.21277
Deutsch GK, Dougherty RF, Bammer R et al (2005) Children’s reading performance is correlated with white matter structure measured by diffusion tensor imaging. Cortex 41:354–363
Dubois J, Dehaene-Lambertz G, Soares C et al (2008) Microstructural correlates of infant functional development: example of the visual pathways. J Neurosci 28:1943–1948. https://doi.org/10.1523/JNEUROSCI.5145-07.2008
Dubois J, Dehaene-Lambertz G, Kulikova S et al (2014a) The early development of brain white matter: a review of imaging studies in fetuses, newborns and infants. Neuroscience 276:48–71. https://doi.org/10.1016/j.neuroscience.2013.12.044
Dubois J, Kulikova S, Hertz-Pannier L et al (2014b) Correction strategy for diffusion-weighted images corrupted with motion: application to the DTI evaluation of infants’ white matter. Magn Reson Imaging 32:981–992. https://doi.org/10.1016/j.mri.2014.05.007
Dubois J, Poupon C, Thirion B et al (2016) Exploring the early organization and maturation of linguistic pathways in the human infant brain. Cereb Cortex 26:2283–2298. https://doi.org/10.1093/cercor/bhv082
Duclap D, Schmitt B, Lebois A et al (2012) Connectomist-2.0: a novel diffusion analysis toolbox for BrainVISA. In: Proceedings of the 29th ESMRMB meeting
Eberhard-Moscicka AK, Jost LB, Raith M, Maurer U (2015) Neurocognitive mechanisms of learning to read: print tuning in beginning readers related to word-reading fluency and semantics but not phonology. Dev Sci 18:106–118. https://doi.org/10.1111/desc.12189
Epelbaum S, Pinel P, Gaillard R et al (2008) Pure alexia as a disconnection syndrome: new diffusion imaging evidence for an old concept. Cortex 44:962–974. https://doi.org/10.1016/j.cortex.2008.05.003
Epstein R, Kanwisher N (1998) A cortical representation of the local visual environment. Nature 392:598–601. https://doi.org/10.1038/33402
Fan Q, Anderson AW, Davis N, Cutting LE (2014) Structural connectivity patterns associated with the putative visual word form area and childrens reading ability. Brain Res 1586:118–129. https://doi.org/10.1016/j.brainres.2014.08.050
Fischer C, Operto G, Laguitton S et al (2012) Morphologist 2012: the new morphological pipeline of BrainVISA. In: Proceedings of the 18th HBM Scientific Meeting, Beijing, China. NeuroImage. p 670
Gomez J, Natu V, Jeska B et al (2018) Development differentially sculpts receptive fields across early and high-level human visual cortex. Nat Commun. https://doi.org/10.1038/s41467-018-03166-3
Grainger J, Ziegler JC (2011) A dual-route approach to orthographic processing. Front Psychol 2:1–13. https://doi.org/10.3389/fpsyg.2011.00054
Greenblatt SH (1976) Subangular alexia without agraphia or hemianopsia. Brain Lang 3:229–245. https://doi.org/10.1016/0093-934X(76)90019-5
Grill-Spector K, Weiner KS (2014) The functional architecture of the ventral temporal cortex and its role in categorization. Nat Rev Neurosci 15:536–548. https://doi.org/10.1038/nrn3747
Grill-Spector K, Kushnir T, Edelman S et al (1999) Differential processing of objects under various viewing conditions in the human lateral occipital complex. Neuron 24:187–203. https://doi.org/10.1016/S0896-6273(00)80832-6
Grill-Spector K, Kourtzi Z, Kanwisher N (2001) The lateral occipital complex and its role in object recognition. Vision Res 41:1409–1422. https://doi.org/10.1016/S0042-6989(01)00073-6
Guevara P, Duclap D, Poupon C et al (2012) Automatic fiber bundle segmentation in massive tractography datasets using a multi-subject bundle atlas. Neuroimage 61:1083–1099. https://doi.org/10.1016/j.neuroimage.2012.02.071
Gullick MM, Booth JR (2015) The direct segment of the arcuate fasciculus is predictive of longitudinal reading change. Dev Cogn Neurosci 13:68–74. https://doi.org/10.1016/j.dcn.2015.05.002
Hannagan T, Amedi A, Cohen L et al (2015) Origins of the specialization for letters and numbers in ventral occipitotemporal cortex. Trends Cogn Sci 19:374–382. https://doi.org/10.1016/j.tics.2015.05.006
Hutchison RM, Culham JC, Everling S et al (2014) Distinct and distributed functional connectivity patterns across cortex reflect the domain-specific constraints of object, face, scene, body, and tool category-selective modules in the ventral visual pathway. Neuroimage 96:216–236. https://doi.org/10.1016/j.neuroimage.2014.03.068
Jobard G, Crivello F, Tzourio-Mazoyer N (2003) Evaluation of the dual route theory of reading: a metanalysis of 35 neuroimaging studies. Neuroimage 20:693–712. https://doi.org/10.1016/S1053-8119(03)00343-4
Kanwisher N, McDermott J, Chun MM (1997) The fusiform face area: a module in human extrastriate cortex specialized for face perception. J Neurosci 17:4302–4311. https://doi.org/10.1098/Rstb.2006.1934
Kay KN, Yeatman JD (2017) Bottom-up and top-down computations in word- and face-selective cortex. Elife 6:35–47. https://doi.org/10.7554/eLife.22341
Keihaninejad S, Zhang H, Ryan NS et al (2013) An unbiased longitudinal analysis framework for tracking white matter changes using diffusion tensor imaging with application to Alzheimer’s disease. Neuroimage 72:153–163. https://doi.org/10.1016/j.neuroimage.2013.01.044
Kersey AJ, Clark TS, Lussier C et al (2015) Development of tool representations in the dorsal and ventral visual object processing pathways. Cereb Cortex 1–11. https://doi.org/10.1093/cercor/bhv140
Kim S (2015) p pcor: an r package for a fast calculation to semi-partial correlation coefficients. Commun Stat Appl methods 22:665–674. https://doi.org/10.5351/CSAM.2015.22.6.665
Lawrence MA (2015) ez: Easy Analysis and Visualization of Factorial Experiments. R package version 4.3
Lebel C, Beaulieu C (2011) Longitudinal development of human brain wiring continues from childhood into adulthood. J Neurosci 31:10937–10947. https://doi.org/10.1523/JNEUROSCI.5302-10.2011
Lebenberg J, Poupon C, Thirion B et al (2015) Clustering the infant brain tissues based on microstructural properties and maturation assessment using multi-parametric MRI. In: ISBI
Levy I, Schluppeck D, Heeger DJ, Glimcher PW (2007) Specificity of human cortical areas for reaches and saccades. J Neurosci 27:4687–4696. https://doi.org/10.1523/JNEUROSCI.0459-07.2007
Lochy A, Van Reybroeck M, Rossion B (2016) Left cortical specialization for visual letter strings predicts rudimentary knowledge of letter-sound association in preschoolers. Proc Natl Acad Sci 113:8544–8549. https://doi.org/10.1073/pnas.1520366113
Lorenz S, Weiner KS, Caspers J et al (2017) Two new cytoarchitectonic areas on the human mid-fusiform gyrus. Cereb Cortex 27:373–385. https://doi.org/10.1093/cercor/bhv225
McCandliss BD, Cohen L, Dehaene S (2003) The visual word form area: expertise for reading in the fusiform gyrus. Trends Cogn Sci 7:293–299. https://doi.org/10.1016/S1364-6613(03)00134-7
Monzalvo K, Dehaene-Lambertz G (2013) How reading acquisition changes children’s spoken language network. Brain Lang 127:356–365. https://doi.org/10.1016/j.bandl.2013.10.009
Monzalvo K, Fluss J, Billard C et al (2012) Cortical networks for vision and language in dyslexic and normal children of variable socio-economic status. Neuroimage 61:258–274. https://doi.org/10.1016/j.neuroimage.2012.02.035
Myers CA, Vandermosten M, Farris EA et al (2014) Structural changes in white matter are uniquely related to children’s reading development. Psychol Sci 25:1870–1883. https://doi.org/10.1177/0956797614544511
Niogi SN, McCandliss BD (2006) Left lateralized white matter microstructure accounts for individual differences in reading ability and disability. Neuropsychologia 44:2178–2188. https://doi.org/10.1016/j.neuropsychologia.2006.01.011
Odegard TN, Farris EA, Ring J et al (2009) Brain connectivity in non-reading impaired children and children diagnosed with developmental dyslexia. Neuropsychologia 47:1972–1977. https://doi.org/10.1016/j.neuropsychologia.2009.03.009
Olulade OA, Flowers DL, Napoliello EM, Eden GF (2013) Developmental differences for word processing in the ventral stream. Brain Lang 125:134–145. https://doi.org/10.1016/j.bandl.2012.04.003
Osher DE, Saxe RR, Koldewyn K et al (2015) Structural connectivity fingerprints predict cortical selectivity for multiple visual categories across cortex. Cereb Cortex. https://doi.org/10.1093/cercor/bhu303
Ossmy O, Ben-Shachar M, Mukamel R (2014) Decoding letter position in word reading. Cortex 59:74–83. https://doi.org/10.1016/j.cortex.2014.07.002
Pammer K, Hansen P, Holliday I, Cornelissen P (2006) Attentional shifting and the role of the dorsal pathway in visual word recognition. Neuropsychologia 44:2926–2936. https://doi.org/10.1016/j.neuropsychologia.2006.06.028
Perrin M, Poupon C, Cointepas Y et al (2005) Fiber tracking in q-ball fields using regularized particle trajectories. Inf Process Med Imaging 19:52–63
Price CJ (2012) A review and synthesis of the first 20 years of PET and fMRI studies of heard speech, spoken language and reading. Neuroimage 62:816–847. https://doi.org/10.1016/j.neuroimage.2012.04.062
Ramus F, Altarelli I, Jednoróg K et al (2018) Neuroanatomy of developmental dyslexia: pitfalls and promise. Neurosci. Biobehav Rev 84:434–452
Reinholz J, Pollmann S (2005) Differential activation of object-selective visual areas by passive viewing of pictures and words. Cogn Brain Res 24:702–714. https://doi.org/10.1016/j.cogbrainres.2005.04.009
Rimrodt SL, Peterson DJ, Denckla MB et al (2010) White matter microstructural differences linked to left perisylvian language network in children with dyslexia. Cortex 46:739–749. https://doi.org/10.1016/j.cortex.2009.07.008
Rollins NK, Pickering J, Hughes CW (2009) In children: alterations in diffusion-tensor metrics of white matter tracts purpose: methods: results: conclusion: 251
Rosazza C, Cai Q, Minati L et al (2009) Early involvement of dorsal and ventral pathways in visual word recognition: an ERP study. Brain Res 1272:32–44. https://doi.org/10.1016/j.brainres.2009.03.033
Rueckert D, Sonoda LI, Hayes C et al (1999) Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans Med Imaging 18:712–721. https://doi.org/10.1109/42.796284
Rueckl JG, Paz-Alonso PM, Molfese PJ et al (2015) Universal brain signature of proficient reading: Evidence from four contrasting languages. Proc Natl Acad Sci 112:15510–15515. https://doi.org/10.1073/pnas.1509321112
Saalmann YB, Pigarev IN, Vidyasagar TR (2007) Neural mechanisms of visual attention: how top-down feedback highlights relevant locations. Science 316:1612–1615. https://doi.org/10.1126/science.1139140
Saygin ZM, Osher DE, Koldewyn K et al (2012) Anatomical connectivity patterns predict face selectivity in the fusiform gyrus. Nat Neurosci 15:321–327. https://doi.org/10.1038/nn.3001
Saygin ZM, Norton ES, Osher DE et al (2013) Tracking the roots of reading ability: white matter volume and integrity correlate with phonological awareness in prereading and early-reading kindergarten children. J Neurosci 33:13251–13258. https://doi.org/10.1523/JNEUROSCI.4383-12.2013
Saygin ZM, Osher DE, Norton ES et al (2016) Connectivity precedes function in the development of the visual word form area. Nat Neurosci 19:1250–1255. https://doi.org/10.1038/nn.4354
Scherf KS, Behrmann M, Humphreys K, Luna B (2007) Visual category-selectivity for faces, places and objects emerges along different developmental trajectories. Dev Sci. https://doi.org/10.1111/j.1467-7687.2007.00595.x
Schmithorst VJ, Wilkes M, Dardzinski BJ, Holland SK (2005) Cognitive functions correlate with white matter architecture in a normal pediatric population: a diffusion tensor HRI study. Hum Brain Mapp 26:139–147. https://doi.org/10.1002/hbm.20149
Seghier ML, Price CJ (2011) Explaining left lateralization for words in the ventral occipitotemporal cortex. J Neurosci 31:14745–14753. https://doi.org/10.1523/JNEUROSCI.2238-11.2011
Simon O, Cohen L, Bihan D, Le et al (2002) Topographical layout of hand, eye, calculation, and language-related areas in the human parietal lobe. Neuron 33:475–487
Smith SM, Nichols TE (2009) Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage 44:83–98. https://doi.org/10.1016/j.neuroimage.2008.03.061
Stevens WD, Tessler MH, Peng CS, Martin A (2015) Functional connectivity constrains the category-related organization of human ventral occipitotemporal cortex. Hum Brain Mapp 36:2187–2206. https://doi.org/10.1002/hbm.22764
Stevens WD, Kravitz DJ, Peng CS et al (2017) Privileged functional connectivity between the visual word form area and the language system. J Neurosci 37:5288–5297. https://doi.org/10.1523/JNEUROSCI.0138-17.2017
Stuart M, Coltheart M (1988) Does reading develop in a sequence of stages? Cognition 30:139–181. https://doi.org/10.1016/0010-0277(88)90038-8
Takemura H, Rokem A, Winawer J et al (2015) A major human white matter pathway between dorsal and ventral visual cortex. Cereb Cortex 1–10. https://doi.org/10.1093/cercor/bhv064
Thiebaut de Schotten M, Cohen L, Amemiya E et al (2014) Learning to read improves the structure of the arcuate fasciculus. Cereb Cortex 24:989–995. https://doi.org/10.1093/cercor/bhs383
van der Mark S, Bucher K, Maurer U et al (2009) Children with dyslexia lack multiple specializations along the visual word-form (VWF) system. Neuroimage 47:1940–1949. https://doi.org/10.1016/j.neuroimage.2009.05.021
Vanderauwera J, Vandermosten M, Dell’Acqua F et al (2015) Disentangling the relation between left temporoparietal white matter and reading: a spherical deconvolution tractography study. Hum Brain Mapp 36:3273–3287. https://doi.org/10.1002/hbm.22848
Vanderauwera J, De Vos A, Forkel SJ et al (2018) Neural organization of ventral white matter tracts parallels the initial steps of reading development: a DTI tractography study. Brain Lang 183:32–40. https://doi.org/10.1016/j.bandl.2018.05.007
Vandermosten M, Boets B, Wouters J, Ghesquière P (2012) A qualitative and quantitative review of diffusion tensor imaging studies in reading and dyslexia. Neurosci Biobehav Rev 36:1532–1552. https://doi.org/10.1016/j.neubiorev.2012.04.002
Vidyasagar TR (1999) A neuronal model of attentional spotlight: parietal guiding the temporal. Brain Res Rev 30:66–76. https://doi.org/10.1016/S0165-0173(99)00005-3
Vigneau M, Beaucousin V, Hervé PY et al (2006) Meta-analyzing left hemisphere language areas: phonology, semantics, and sentence processing. Neuroimage 30:1414–1432. https://doi.org/10.1016/j.neuroimage.2005.11.002
Vinckier F, Naccache L, Papeix C et al (2006) “What” and “where” in word reading: ventral coding of written words revealed by parietal atrophy. J Cogn Neurosci 18:1998–2012. https://doi.org/10.1162/jocn.2006.18.12.1998
Vinckier F, Dehaene S, Jobert A et al (2007) Hierarchical coding of letter strings in the ventral stream: dissecting the inner organization of the visual word-form system. Neuron 55:143–156. https://doi.org/10.1016/j.neuron.2007.05.031
Wandell B, Yeatman JD (2013) Biological development of reading circuits. Curr Opin Neurobiol 23:261–268. https://doi.org/10.1016/j.conb.2012.12.005
Wang Y, Gupta A, Liu Z et al (2011) DTI registration in atlas based fiber analysis of infantile Krabbe disease. Neuroimage 55:1577–1586. https://doi.org/10.1016/j.neuroimage.2011.01.038
Weiner KS, Yeatman JD, Wandell BA (2016) The posterior arcuate fasciculus and the vertical occipital fasciculus. Cortex. https://doi.org/10.1016/j.cortex.2016.03.012
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
Winkler AM, Ridgway GR, Webster MA et al (2014) Permutation inference for the general linear model. Neuroimage 92:381–397. https://doi.org/10.1016/j.neuroimage.2014.01.060
Yeatman JD, Dougherty RF, Rykhlevskaia E et al (2011) Anatomical properties of the arcuate fasciculus predict phonological and reading skills in children. J Cogn Neurosci 23:3304–3317. 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 USA 109:E3045–E3053. https://doi.org/10.1073/pnas.1206792109
Yeatman JD, Weiner KS, Pestilli F et al (2014) The vertical occipital fasciculus: a century of controversy resolved by in vivo measurements. Proc Natl Acad Sci 111:E5214–E5223. https://doi.org/10.1073/pnas.1418503111
Zatorre RJ, Fields RD, Johansen-berg H (2012) Plasticity in gray and white: neuroimaging changes in brain structure during learning. Nat Publ Gr 15:528–536. https://doi.org/10.1038/nn.3045
Zhang H, Yushkevich P, Alexander DC, Gee JC (2006) Deformable registration of diffusion tensor MR images with explicit orientation optimization. Med Image Anal 10:764–785. https://doi.org/10.1016/j.media.2006.06.004
Zoccolotti P, De Luca M, Di Pace E et al (2005) Word length effect in early reading and in developmental dyslexia. Brain Lang 93:369–373. https://doi.org/10.1016/j.bandl.2004.10.010
Acknowledgements
The authors would like to thank all the children and their parents who participated in this study, as well as the medical team of UNIACT at Neurospin for precious help in scanning the children, especially Gaëlle Mediouni. We are also grateful to Jessica Lebenberg and Francois Leroy for their help in MRI analyses, to Michel Thiebaut de Schotten and Thomas Hannagan for helpful discussion on this study.
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This research was supported by a grant from the Fondation Bettencourt-Schueller.
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Moulton, E., Bouhali, F., Monzalvo, K. et al. Connectivity between the visual word form area and the parietal lobe improves after the first year of reading instruction: a longitudinal MRI study in children. Brain Struct Funct 224, 1519–1536 (2019). https://doi.org/10.1007/s00429-019-01855-3
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DOI: https://doi.org/10.1007/s00429-019-01855-3