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Vaidehi Natu

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In our exciting new study, using quantitative MRI and transcriptomic gene analysis, we show that babies in the first 6 months of life are extremely busy growing new gray matter tissue and cortical microstructures related to myelin and synapses in their primary sensory-motor systems. This tissue growth is hierarchical as lower-level areas are more developed at birth but higher-level areas have faster rates of development after birth.

(Natu et al., 2021, Nature Communications Biology)

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There is a surprisingly well preserved structural-functional relationship in deep cortical folds of the high-level visual cortex across evolution and human development.

(Image from: Natu et al., 2020, Cerebral Cortex)

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Cortical tissue grows during child development in brain areas involved in reading and face memory. This t

issue growth is related to increase in myelination

(what is myelin? it is

a fatty tissue that insulates neural fibers and enables faster neural conduction) and dendritic arborization.

(Image from: Natu et al., 2019, PNAS, see also Gomez, Barnett, Natu et al., 2017, Science).

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I use

postmortem data, histological myelin/nissl stains to study the cellular and microstructural mechanisms underlying our MR findings.

(Image from: Natu et al., 2019, PNAS).

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Receptive field properties of regions involved in face recognition and reading develop from childhood to adulthood by increasing the foveal coverage bias for faces in the right hemisphere and words in the left hemisphere.

(Image from: Gomez, Natu et al., 2018, Nature Communications).

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Neural sensitivity to socially salient stimuli such as human faces increases with age in regions involved in face processing and is related to perceptual discriminability for faces. S

ensitivity is also dependent on our social milieu and experience, as neural sensitivity is stronger for own-age than other-age faces.

(Image from: Natu et al., 2016, Journal of Neuroscience).

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Brain patterns are different for own-race faces than other-race faces.

Using pattern-based classification algorithms, my work showed that we can discriminate between brain’s response patterns for faces of one’s own race versus faces of a different race. This suggests that our social environment plays a critical role in shaping brain patterns as well as social biases for salient features such as race.

(Image from: Natu et al., 2010, NeuroImage).

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