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Dive into the research topics where Lee M. Perry is active.

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Featured researches published by Lee M. Perry.


Journal of Cognitive Neuroscience | 2009

Socioeconomic disparities affect prefrontal function in children

Mark M. Kishiyama; W. Thomas Boyce; Amy M. Jimenez; Lee M. Perry; Robert T. Knight

Social inequalities have profound effects on the physical and mental health of children. Children from low socioeconomic status (SES) backgrounds perform below children from higher SES backgrounds on tests of intelligence and academic achievement, and recent findings indicate that low SES (LSES) children are impaired on behavioral measures of prefrontal function. However, the influence of socioeconomic disparity on direct measures of neural activity is unknown. Here, we provide electrophysiological evidence indicating that prefrontal function is altered in LSES children. We found that prefrontal-dependent electrophysiological measures of attention were reduced in LSES compared to high SES (HSES) children in a pattern similar to that observed in patients with lateral prefrontal cortex (PFC) damage. These findings provide neurophysiological evidence that social inequalities are associated with alterations in PFC function in LSES children. There are a number of factors associated with LSES rearing conditions that may have contributed to these results such as greater levels of stress and lack of access to cognitively stimulating materials and experiences. Targeting specific prefrontal processes affected by socioeconomic disparity could be helpful in developing intervention programs for LSES children.


NeuroImage | 2011

Bound pool fractions complement diffusion measures to describe white matter micro and macrostructure

Nikola Stikov; Lee M. Perry; Aviv Mezer; Elena Rykhlevskaia; Brian A. Wandell; John M. Pauly; Robert F. Dougherty

Diffusion imaging and bound pool fraction (BPF) mapping are two quantitative magnetic resonance imaging techniques that measure microstructural features of the white matter of the brain. Diffusion imaging provides a quantitative measure of the diffusivity of water in tissue. BPF mapping is a quantitative magnetization transfer (qMT) technique that estimates the proportion of exchanging protons bound to macromolecules, such as those found in myelin, and is thus a more direct measure of myelin content than diffusion. In this work, we combined BPF estimates of macromolecular content with measurements of diffusivity within human white matter tracts. Within the white matter, the correlation between BPFs and diffusivity measures such as fractional anisotropy and radial diffusivity was modest, suggesting that diffusion tensor imaging and bound pool fractions are complementary techniques. We found that several major tracts have high BPF, suggesting a higher density of myelin in these tracts. We interpret these results in the context of a quantitative tissue model.


The Journal of Neuroscience | 2012

Frontostriatal White Matter Integrity Mediates Adult Age Differences in Probabilistic Reward Learning

Gregory R. Samanez-Larkin; Sara M. Levens; Lee M. Perry; Robert F. Dougherty; Brian Knutson

Frontostriatal circuits have been implicated in reward learning, and emerging findings suggest that frontal white matter structural integrity and probabilistic reward learning are reduced in older age. This cross-sectional study examined whether age differences in frontostriatal white matter integrity could account for age differences in reward learning in a community life span sample of human adults. By combining diffusion tensor imaging with a probabilistic reward learning task, we found that older age was associated with decreased reward learning and decreased white matter integrity in specific pathways running from the thalamus to the medial prefrontal cortex and from the medial prefrontal cortex to the ventral striatum. Further, white matter integrity in these thalamocorticostriatal paths could statistically account for age differences in learning. These findings suggest that the integrity of frontostriatal white matter pathways critically supports reward learning. The findings also raise the possibility that interventions that bolster frontostriatal integrity might improve reward learning and decision making.


NeuroImage | 2010

COMT genotype affects prefrontal white matter pathways in children and adolescents

Moriah E. Thomason; Robert F. Dougherty; Natalie L. Colich; Lee M. Perry; Elena Rykhlevskaia; Hugo M.C. Louro; Joachim Hallmayer; Christian E. Waugh; Roland Bammer; Gary H. Glover; Ian H. Gotlib

Diffusion tensor imaging is widely used to evaluate the development of white matter. Information about how alterations in major neurotransmitter systems, such as the dopamine (DA) system, influence this development in healthy children, however, is lacking. Catechol-O-metyltransferase (COMT) is the major enzyme responsible for DA degradation in prefrontal brain structures, for which there is a corresponding genetic polymorphism (val158met) that confers either a more or less efficient version of this enzyme. The result of this common genetic variation is that children may have more or less available synaptic DA in prefrontal brain regions. In the present study we examined the relation between diffusion properties of frontal white matter structures and the COMT val158met polymorphism in 40 children ages 9-15. We found that the val allele was associated with significantly elevated fractional anisotropy values and reduced axial and radial diffusivities. These results indicate that the development of white matter in healthy children is related to COMT genotype and that alterations in white matter may be related to the differential availability of prefrontal DA. This investigation paves the way for further studies of how common functional variants in the genome might influence the development of brain white matter.


Molecular Autism | 2015

Sex differences in the corpus callosum in preschool-aged children with autism spectrum disorder

Christine Wu Nordahl; Ana Maria Iosif; Gregory S. Young; Lee M. Perry; Robert F. Dougherty; A. T. Lee; Deana Li; Michael H. Buonocore; Tony J. Simon; Sally J. Rogers; Brian A. Wandell; David G. Amaral

BackgroundAbnormalities in the corpus callosum have been reported in individuals with autism spectrum disorder (ASD), but few studies have evaluated young children. Sex differences in callosal organization and diffusion characteristics have also not been evaluated fully in ASD.MethodsStructural and diffusion-weighted images were acquired in 139 preschool-aged children with ASD (112 males/27 females) and 82 typically developing (TD) controls (53 males/29 females). Longitudinal scanning at two additional annual time points was carried out in a subset of these participants. Callosal organization was evaluated using two approaches: 1) diffusion tensor imaging (DTI) tractography to define subregions based on cortical projection zones and 2) as a comparison to previous studies, midsagittal area analysis using Witelson subdivisions. Diffusion measures of callosal fibers were also evaluated.ResultsAnalyses of cortical projection zone subregions revealed sex differences in the patterns of altered callosal organization. Relative to their sex-specific TD counterparts, both males and females with ASD had smaller regions dedicated to fibers projecting to superior frontal cortex, but patterns differed in callosal subregions projecting to other parts of frontal cortex. While males with ASD had a smaller callosal region dedicated to the orbitofrontal cortex, females with ASD had a smaller callosal region dedicated to the anterior frontal cortex. There were also sex differences in diffusion properties of callosal fibers. While no alterations were observed in males with ASD relative to TD males, mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were all increased in females with ASD relative to TD females. Analyses of Witelson subdivisions revealed a decrease in midsagittal area of the corpus callosum in both males and females with ASD but no regional differences in specific subdivisions. Longitudinal analyses revealed no diagnostic or sex differences in the growth rate or change in diffusion measures of the corpus callosum from 3 to 5 years of age.ConclusionsThere are sex differences in the pattern of altered corpus callosum neuroanatomy in preschool-aged children with ASD.


Neuron | 2011

Visual Feature-Tolerance in the Reading Network

Andreas M. Rauschecker; Reno F. Bowen; Lee M. Perry; Alison M. Kevan; Robert F. Dougherty; Brian A. Wandell

A century of neurology and neuroscience shows that seeing words depends on ventral occipital-temporal (VOT) circuitry. Typically, reading is learned using high-contrast line-contour words. We explored whether a specific VOT region, the visual word form area (VWFA), learns to see only these words or recognizes words independent of the specific shape-defining visual features. Word forms were created using atypical features (motion-dots, luminance-dots) whose statistical properties control word-visibility. We measured fMRI responses as word form visibility varied, and we used TMS to interfere with neural processing in specific cortical circuits, while subjects performed a lexical decision task. For all features, VWFA responses increased with word-visibility and correlated with performance. TMS applied to motion-specialized area hMT+ disrupted reading performance for motion-dots, but not line-contours or luminance-dots. A quantitative model describes feature-convergence in the VWFA and relates VWFA responses to behavioral performance. These findings suggest how visual feature-tolerance in the reading network arises through signal convergence from feature-specialized cortical areas.


Psychiatry Research-neuroimaging | 2015

Disrupted fornix integrity in children with chromosome 22q11.2 deletion syndrome

Yi Deng; Naomi J. Goodrich-Hunsaker; Margarita H Cabaral; David G. Amaral; Michael H. Buonocore; Danielle Harvey; Kristopher Kalish; Owen T. Carmichael; Cynthia M. Schumann; A. T. Lee; Robert F. Dougherty; Lee M. Perry; Brian A. Wandell; Tony J. Simon

The fornix is the primary subcortical output fiber system of the hippocampal formation. In children with 22q11.2 deletion syndrome (22q11.2DS), hippocampal volume reduction has been commonly reported, but few studies as yet have evaluated the integrity of the fornix. Therefore, we investigated the fornix of 45 school-aged children with 22q11.2DS and 38 matched typically developing (TD) children. Probabilistic diffusion tensor imaging (DTI) tractography was used to reconstruct the body of the fornix in each child׳s brain native space. Compared with children, significantly lower fractional anisotropy (FA) and higher radial diffusivity (RD) was observed bilaterally in the body of the fornix in children with 22q11.2DS. Irregularities were especially prominent in the posterior aspect of the fornix where it emerges from the hippocampus. Smaller volumes of the hippocampal formations were also found in the 22q11.2DS group. The reduced hippocampal volumes were correlated with lower fornix FA and higher fornix RD in the right hemisphere. Our findings provide neuroanatomical evidence of disrupted hippocampal connectivity in children with 22q11.2DS, which may help to further understand the biological basis of spatial impairments, affective regulation, and other factors related to the ultra-high risk for schizophrenia in this population.


Molecular Autism | 2015

Erratum: Sex differences in the corpus callosum in preschool-aged children with autism spectrum disorder (Molecular Autism (2015) 6 (26))

Christine Wu Nordahl; Ana Maria Iosif; Gregory S. Young; Lee M. Perry; Robert F. Dougherty; A. T. Lee; Deana Li; Michael H. Buonocore; Tony J. Simon; Sally J. Rogers; Brian A. Wandell; David G. Amaral

[This corrects the article DOI: 10.1186/s13229-015-0005-4.].


Neuropsychologia | 2009

Reading impairment in a patient with missing arcuate fasciculus

Andreas M. Rauschecker; Gayle K. Deutsch; Michal Ben-Shachar; Armin Schwartzman; Lee M. Perry; Robert F. Dougherty


arXiv: Quantitative Methods | 2015

Data management to support reproducible research

Brian A. Wandell; Ariel Rokem; Lee M. Perry; G. Schaefer; Robert F. Dougherty

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A. T. Lee

University of California

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Tony J. Simon

University of California

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Deana Li

University of California

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