Development of white matter tracts between and within the dorsal and ventral streams

Vinci‐Booher, Sophia; Caron, Bradley; Bullock, Daniel; James, Karin H.; Pestilli, Franco

doi:10.1101/2021.01.27.428423

Cited by 4 publications

(6 citation statements)

References 165 publications

(300 reference statements)

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“…Recent findings revealing that white matter fascicles can be reliably identified in individual newborns (Grotheer et al 2022) paving the way for future research to examine whether the relationship between cytoarchitecture and white matter connections is present at birth. An interesting direction for future research is understanding the mechanisms that enable tuning of white matter connections during childhood development as well as developmental changes to the properties of the white matter itself (Yeatman, Dougherty, Ben-Shachar, et al 2012;Moulton et al 2019;Vinci-Booher et al 2022). Importantly, we measure the white matter connections that connect to category-selective regions.…”

Section: Developmental Implicationsmentioning

confidence: 99%

White matter connections of high-level visual areas predict cytoarchitecture better than category-selectivity in childhood, but not adulthood

et al. 2022

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Ventral temporal cortex (VTC) consists of high-level visual regions that are arranged in consistent anatomical locations across individuals. This consistency has led to several hypotheses about the factors that constrain the functional organization of VTC. A prevailing theory is that white matter connections influence the organization of VTC, however, the nature of this constraint is unclear. Here, we test 2 hypotheses: (1) white matter tracts are specific for each category or (2) white matter tracts are specific to cytoarchitectonic areas of VTC. To test these hypotheses, we used diffusion magnetic resonance imaging to identify white matter tracts and functional magnetic resonance imaging to identify category-selective regions in VTC in children and adults. We find that in childhood, white matter connections are linked to cytoarchitecture rather than category-selectivity. In adulthood, however, white matter connections are linked to both cytoarchitecture and category-selectivity. These results suggest a rethinking of the view that category-selective regions in VTC have category-specific white matter connections early in development. Instead, these findings suggest that the neural hardware underlying the processing of categorical stimuli may be more domain-general than previously thought, particularly in childhood.

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Section: Developmental Implicationsmentioning

confidence: 99%

White matter connections of high-level visual areas predict cytoarchitecture better than category-selectivity in childhood, but not adulthood

et al. 2022

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“…We hypothesized that the microstructure of PVP tracts prior to learning would predict learning to draw novel symbols more than tracts within the dorsal motor system and tracts within the ventral perceptual system. Our hypothesis was based on prior works that have demonstrated a correlation between PVP microstructure and drawing 41 and the unique connectivity profile of the PVP tracts 29 . PVP tracts are situated in an anatomical position that suggests importance for performing tasks that link motor production and perceptual knowledge.…”

Section: Resultsmentioning

confidence: 99%

“…Literate adults engage a left-lateralized cortical system during drawing, including regions within the frontal motor, parietal, and ventral temporal lobes 30,[33][34][35][37][38][39]47,48 , and these regions are joined by the left pArc and left SLF 3 27,29,49 . Furthermore, work in children has demonstrated that the pArc is correlated with individual differences in drawing ability in the left but not the right hemispheres, even after controlling for age 41 . We and others 43,50,51 have suggested that the left-lateralization of white matter supporting drawing learning may be related to the left-lateralization of language processing.…”

Section: Discussionmentioning

confidence: 99%

Associative white matter tracts selectively predict sensorimotor learning

Vinci‐Booher

McDonald

Berquist

et al. 2023

Preprint

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Human learning is a complex phenomenon that varies greatly among individuals and is related to the microstructure of major white matter tracts in several learning domains, yet the impact of the existing myelination of major white matter tracts on future learning outcomes remains unclear. We employed a machine-learning model selection framework to evaluate whether existing microstructure might predict individual differences in the potential for learning a sensorimotor task, and further, if the mapping between the microstructure of major white matter tracts and learning was selective for learning outcomes. We used diffusion tractography to measure the mean fractional anisotropy (FA) of major white matter tracts in 60 adult participants who then underwent training and subsequent testing to evaluate learning. During training, participants practiced drawing a set of 40 novel symbols repeatedly using a digital writing tablet. For testing, we measured drawing learning as the slope of draw duration over the practice session; we measured visual recognition learning as the performance accuracy in an old/new 2-AFC recognition task. We performed two separate analyses, one that assessed the relationship between pre-training FA and learning to draw novel symbols and a second that assessed the relationship between pre-training FA and learning to visually recognize symbols after training. Both analyses focused on the microstructure of white matter tracts that connect dorsal and ventral cortices, the posterior vertical pathway (PVP), as well as tracts within the dorsal motor system and within the ventral perceptual system. Results demonstrated that the microstructure of major white matter tracts selectively predicted learning outcomes, with left hemisphere pArc and SLF 3 tracts predicting drawing learning and the left hemisphere MDLFspl predicting visual recognition learning. These results were replicated in a repeat, held-out data set and supported with complementary analyses. Overall, results suggest that individual differences in the microstructure of human white matter tracts may be selectively related to future learning outcomes that arise from a single experience and open avenues of inquiry concerning the impact of existing tract myelination and individual differences in the potential for learning.

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“…An interesting direction for future research is understanding the mechanisms that enable tuning of white matter connections during childhood development as well as developmental changes to the properties of the white matter itself (Yeatman, Dougherty, Ben-Shachar, et al 2012; Yeatman, Wandell, et al 2014; Moulton et al 2019; Vinci-Booher et al 2022). Importantly, we measure the white matter connections that connect to category-selective regions.…”

Section: Discussionmentioning

confidence: 99%

White matter connections of high-level visual areas predict cytoarchitecture better than category-selectivity in childhood, but not adulthood

Kubota

Grotheer

Finzi

et al. 2022

Preprint

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Ventral temporal cortex (VTC) consists of high-level visual regions that are arranged in consistent anatomical locations across individuals. This consistency has led to several hypotheses about the factors that constrain the functional organization of VTC. A prevailing theory is that white matter connections influence the organization of VTC, however, the nature of this constraint is unclear. Here, we test two hypotheses: (1) white matter tracts are specific for each category or (2) white matter tracts are specific to cytoarchitectonic areas of VTC. To test these hypotheses, we used diffusion magnetic resonance imaging (dMRI) to identify white matter tracts and functional magnetic resonance imaging (fMRI) to identify category-selective regions in VTC in children and adults. We find that in childhood, white matter connections are linked to cytoarchitecture rather than category-selectivity. In adulthood, however, white matter connections are linked to both cytoarchitecture and category-selectivity. These results suggest a rethinking of the view that category-selective regions in VTC have category-specific white matter connections early in development. Instead, these findings suggest that the neural hardware underlying the processing of categorical stimuli may be more domain-general than previously thought, particularly in childhood.

show abstract

Development of white matter tracts between and within the dorsal and ventral streams

Cited by 4 publications

References 165 publications

White matter connections of high-level visual areas predict cytoarchitecture better than category-selectivity in childhood, but not adulthood

White matter connections of high-level visual areas predict cytoarchitecture better than category-selectivity in childhood, but not adulthood

Associative white matter tracts selectively predict sensorimotor learning

White matter connections of high-level visual areas predict cytoarchitecture better than category-selectivity in childhood, but not adulthood

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