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Dive into the research topics where Hilary Richardson is active.

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Featured researches published by Hilary Richardson.


Proceedings of the National Academy of Sciences of the United States of America | 2014

Differences in the right inferior longitudinal fasciculus but no general disruption of white matter tracts in children with autism spectrum disorder

Kami Koldewyn; Anastasia Yendiki; Sarah Weigelt; Hyowon Gweon; Joshua B. Julian; Hilary Richardson; Caitlin Malloy; Rebecca Saxe; Bruce Fischl; Nancy Kanwisher

Significance One of the most accepted brain “signatures” of autism spectrum disorder (ASD) is a reduction in the integrity of long-range white-matter fiber tracts. Here, we assessed known white matter tracts in children with ASD by using diffusion-weighted imaging. In contrast to most prior studies, we carefully matched for head motion between groups. When data quality was matched, there was no evidence of widespread changes in white-matter tracts in the ASD group. Instead, differences were present in only one tract, the right inferior longitudinal fasciculus. These data challenge the idea that widespread changes in white-matter integrity are a signature of ASD and highlight the importance of matching for data quality in future diffusion studies of ASD and other clinical disorders. One of the most widely cited features of the neural phenotype of autism is reduced “integrity” of long-range white matter tracts, a claim based primarily on diffusion imaging studies. However, many prior studies have small sample sizes and/or fail to address differences in data quality between those with autism spectrum disorder (ASD) and typical participants, and there is little consensus on which tracts are affected. To overcome these problems, we scanned a large sample of children with autism (n = 52) and typically developing children (n = 73). Data quality was variable, and worse in the ASD group, with some scans unusable because of head motion artifacts. When we follow standard data analysis practices (i.e., without matching head motion between groups), we replicate the finding of lower fractional anisotropy (FA) in multiple white matter tracts. However, when we carefully match data quality between groups, all these effects disappear except in one tract, the right inferior longitudinal fasciculus (ILF). Additional analyses showed the expected developmental increases in the FA of fiber tracts within ASD and typical groups individually, demonstrating that we had sufficient statistical power to detect known group differences. Our data challenge the widely claimed general disruption of white matter tracts in autism, instead implicating only one tract, the right ILF, in the ASD phenotype.


Nature Communications | 2017

Organization of high-level visual cortex in human infants.

Ben Deen; Hilary Richardson; Daniel D. Dilks; Atsushi Takahashi; Boris Keil; Lawrence L. Wald; Nancy Kanwisher; Rebecca Saxe

How much of the structure of the human mind and brain is already specified at birth, and how much arises from experience? In this article, we consider the test case of extrastriate visual cortex, where a highly systematic functional organization is present in virtually every normal adult, including regions preferring behaviourally significant stimulus categories, such as faces, bodies, and scenes. Novel methods were developed to scan awake infants with fMRI, while they viewed multiple categories of visual stimuli. Here we report that the visual cortex of 4–6-month-old infants contains regions that respond preferentially to abstract categories (faces and scenes), with a spatial organization similar to adults. However, precise response profiles and patterns of activity across multiple visual categories differ between infants and adults. These results demonstrate that the large-scale organization of category preferences in visual cortex is adult-like within a few months after birth, but is subsequently refined through development.


The Journal of Neuroscience | 2015

Visual Cortex Responds to Spoken Language in Blind Children.

Marina Bedny; Hilary Richardson; Rebecca Saxe

Plasticity in the visual cortex of blind individuals provides a rare window into the mechanisms of cortical specialization. In the absence of visual input, occipital (“visual”) brain regions respond to sound and spoken language. Here, we examined the time course and developmental mechanism of this plasticity in blind children. Nineteen blind and 40 sighted children and adolescents (4–17 years old) listened to stories and two auditory control conditions (unfamiliar foreign speech, and music). We find that “visual” cortices of young blind (but not sighted) children respond to sound. Responses to nonlanguage sounds increased between the ages of 4 and 17. By contrast, occipital responses to spoken language were maximal by age 4 and were not related to Braille learning. These findings suggest that occipital plasticity for spoken language is independent of plasticity for Braille and for sound. We conclude that in the absence of visual input, spoken language colonizes the visual system during brain development. Our findings suggest that early in life, human cortex has a remarkably broad computational capacity. The same cortical tissue can take on visual perception and language functions. SIGNIFICANCE STATEMENT Studies of plasticity provide key insights into how experience shapes the human brain. The “visual” cortex of adults who are blind from birth responds to touch, sound, and spoken language. To date, all existing studies have been conducted with adults, so little is known about the developmental trajectory of plasticity. We used fMRI to study the emergence of “visual” cortex responses to sound and spoken language in blind children and adolescents. We find that “visual” cortex responses to sound increase between 4 and 17 years of age. By contrast, responses to spoken language are present by 4 years of age and are not related to Braille-learning. These findings suggest that, early in development, human cortex can take on a strikingly wide range of functions.


Journal of Cognitive Neuroscience | 2017

Reduced left lateralization of language in congenitally blind individuals

Connor Lane; Shipra Kanjlia; Hilary Richardson; Anne B. Fulton; Akira Omaki; Marina Bedny

Language processing depends on a left-lateralized network of frontotemporal cortical regions. This network is remarkably consistent across individuals and cultures. However, there is also evidence that developmental factors, such as delayed exposure to language, can modify this network. Recently, it has been found that, in congenitally blind individuals, the typical frontotemporal language network expands to include parts of “visual” cortices. Here, we report that blindness is also associated with reduced left lateralization in frontotemporal language areas. We analyzed fMRI data from two samples of congenitally blind adults (n = 19 and n = 13) and one sample of congenitally blind children (n = 20). Laterality indices were computed for sentence comprehension relative to three different control conditions: solving math equations (Experiment 1), a memory task with nonwords (Experiment 2), and a “does this come next?” task with music (Experiment 3). Across experiments and participant samples, the frontotemporal language network was less left-lateralized in congenitally blind than in sighted individuals. Reduction in left lateralization was not related to Braille reading ability or amount of occipital plasticity. Notably, we observed a positive correlation between the lateralization of frontotemporal cortex and that of language-responsive occipital areas in blind individuals. Blind individuals with right-lateralized language responses in frontotemporal cortices also had right-lateralized occipital responses to language. Together, these results reveal a modified neurobiology of language in blindness. Our findings suggest that, despite its usual consistency across people, the neurobiology of language can be modified by nonlinguistic experiences.


NeuroImage | 2017

Mentalizing regions represent distributed, continuous, and abstract dimensions of others' beliefs

Jorie Koster-Hale; Hilary Richardson; Natalia Vélez; Mika Asaba; Liane Young; Rebecca Saxe

Abstract The human capacity to reason about others’ minds includes making causal inferences about intentions, beliefs, values, and goals. Previous fMRI research has suggested that a network of brain regions, including bilateral temporo‐parietal junction (TPJ), superior temporal sulcus (STS), and medial prefrontal‐cortex (MPFC), are reliably recruited for mental state reasoning. Here, in two fMRI experiments, we investigate the representational content of these regions. Building on existing computational and neural evidence, we hypothesized that social brain regions contain at least two functionally and spatially distinct components: one that represents information related to others’ motivations and values, and another that represents information about others’ beliefs and knowledge. Using multi‐voxel pattern analysis, we find evidence that motivational versus epistemic features are independently represented by theory of mind (ToM) regions: RTPJ contains information about the justification of the belief, bilateral TPJ represents the modality of the source of knowledge, and VMPFC represents the valence of the resulting emotion. These representations are found only in regions implicated in social cognition and predict behavioral responses at the level of single items. We argue that cortical regions implicated in mental state inference contain complementary, but distinct, representations of epistemic and motivational features of others’ beliefs, and that, mirroring the processes observed in sensory systems, social stimuli are represented in distinct and distributed formats across the human brain. HighlightsSocial brain regions differentially represent specific features of others’ beliefs.Temporo‐parietal cortex represents the source or reason for holding a belief.Ventromedial prefrontal cortex represents the protagonists emotion.These distinct neural response patterns are related to relevant behavioral ratings.


Nature Communications | 2018

Development of the social brain from age three to twelve years

Hilary Richardson; Grace Lisandrelli; Alexa Riobueno-Naylor; Rebecca Saxe

Human adults recruit distinct networks of brain regions to think about the bodies and minds of others. This study characterizes the development of these networks, and tests for relationships between neural development and behavioral changes in reasoning about others’ minds (‘theory of mind’, ToM). A large sample of children (n = 122, 3–12 years), and adults (n = 33), watched a short movie while undergoing fMRI. The movie highlights the characters’ bodily sensations (often pain) and mental states (beliefs, desires, emotions), and is a feasible experiment for young children. Here we report three main findings: (1) ToM and pain networks are functionally distinct by age 3 years, (2) functional specialization increases throughout childhood, and (3) functional maturity of each network is related to increasingly anti-correlated responses between the networks. Furthermore, the most studied milestone in ToM development, passing explicit false-belief tasks, does not correspond to discontinuities in the development of the social brain.Though adults’ brains process the internal states of others’ bodies versus others’ minds in distinct brain regions, it is not clear when this functional dissociation emerges. Here, authors study 3–12 year olds and show that these networks are distinct by age 3 and become even more distinct with age.


Cognitive Science | 2012

The Development of Joint Belief-Desire Inferences

Hilary Richardson; Chris L. Baker; Joshua B. Tenenbaum; Rebecca Saxe


Cortex | 2018

Cortical responses to dynamic emotional facial expressions generalize across stimuli, and are sensitive to task-relevance, in adults with and without Autism

Dorit Kliemann; Hilary Richardson; Stefano Anzellotti; Dima Ayyash; Amanda J. Haskins; John D. E. Gabrieli; Rebecca Saxe


Archive | 2017

Longitudinal and Cross-sectional fMRI Studies of Social Brain Development

Hilary Richardson; Hyowon Gweon; Rebecca Saxe


Archive | 2017

Theory of Mind Booklet task

Hilary Richardson; Hyowon Gweon; Rebecca Saxe

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Rebecca Saxe

Massachusetts Institute of Technology

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Nancy Kanwisher

Massachusetts Institute of Technology

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Marina Bedny

Johns Hopkins University

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Ben Deen

Massachusetts Institute of Technology

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Atsushi Takahashi

Massachusetts Institute of Technology

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