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Dive into the research topics where Hongtu Zhu is active.

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Featured researches published by Hongtu Zhu.


Proceedings of the National Academy of Sciences of the United States of America | 2009

Evidence on the emergence of the brain's default network from 2-week-old to 2-year-old healthy pediatric subjects

Wei Gao; Hongtu Zhu; Kelly S. Giovanello; J. Keith Smith; Dinggang Shen; John H. Gilmore; Weili Lin

Several lines of evidence have implicated the existence of the brains default network during passive or undirected mental states. Nevertheless, results on the emergence of the default network in very young pediatric subjects are lacking. Using resting functional magnetic resonance imaging in healthy pediatric subjects between 2 weeks and 2 years of age, we describe the temporal evolution of the default network in a critical, previously unstudied, period of early human brain development. Our results demonstrate that a primitive and incomplete default network is present in 2-week-olds, followed by a marked increase in the number of brain regions exhibiting connectivity, and the percent of connection at 1 year of age. By 2 years of age, the default network becomes similar to that observed in adults, including medial prefrontal cortex (MPFC), posterior cingulate cortex/retrosplenial (PCC/Rsp), inferior parietal lobule, lateral temporal cortex, and hippocampus regions. While the anatomical representations of the default network highly depend on age, the PCC/Rsp is consistently observed at in both age groups and is central to the most and strongest connections of the default network, suggesting that PCC/Rsp may serve as the main “hub” of the default network as this region does in adults. In addition, although not as remarkable as the PCC/Rsp, the MPFC also emerges as a potential secondary hub starting from 1 year of age. These findings reveal the temporal development of the default network in the critical period of early brain development and offer new insights into the emergence of brain default network.


Neurology | 2005

Caudate volumes in childhood predict symptom severity in adults with Tourette syndrome

Michael H. Bloch; James F. Leckman; Hongtu Zhu; Bradley S. Peterson

Background: Most children with Tourette syndrome (TS) experience a marked decline in the severity of tic symptoms during adolescence. Currently no clinical measures can predict whose tic symptoms will persist into adulthood. Previous cross-sectional imaging studies have identified reduced caudate nucleus volumes in subjects with TS. Objective: To evaluate whether caudate nucleus volumes in childhood can predict the severity of tic or obsessive–compulsive symptoms at follow-up in early adulthood. Methods: In a prospective longitudinal study, clinical status and basal ganglia volumes of 43 children with TS were measured on high-resolution magnetic resonance images before age 14 years. Follow-up clinical assessments were conducted after age 16 years, an average of 7.5 years later. Linear regression and Tobit regression analyses were used to assess the association of basal ganglia volumes measured in childhood with the severity of tic and obsessive–compulsive disorder (OCD) symptoms at the time of childhood MRI and at follow-up in early adulthood. Results: Volumes of the caudate nucleus correlated significantly and inversely with the severity of tic and OCD symptoms in early adulthood. Caudate volumes did not correlate with the severity of symptoms at the time of the MRI scan. Conclusions: Caudate volumes in children with Tourette syndrome predict the severity of tic and obsessive–compulsive symptoms in early adulthood. This study provides compelling evidence that morphologic disturbances of the caudate nucleus within cortico-striatal-thalamo-cortical circuits are central to the persistence of both tics and obsessive–compulsive symptoms into adulthood.


Human Brain Mapping | 2006

A developmental fMRI study of self-regulatory control

Rachel Marsh; Hongtu Zhu; Robert T. Schultz; Georgette Quackenbush; Jason Royal; Pawel Skudlarski; Bradley S. Peterson

We used functional magnetic resonance imaging (fMRI) to investigate the neural correlates of self‐regulatory control across development in healthy individuals performing the Stroop interference task. Proper performance of the task requires the engagement of self‐regulatory control to inhibit an automatized response (reading) in favor of another, less automatic response (color naming). Functional MRI scans were acquired from a sample of 70 healthy individuals ranging in age from 7 to 57 years. We measured task‐related regional signal changes across the entire cerebrum and conducted correlation analyses to assess the associations of signal activation with age and with behavioral performance. The magnitude of fMRI signal change increased with age in the right inferolateral prefrontal cortex (Brodmann area [BA] 44/45) and right lenticular nucleus. Greater activation of the right inferolateral prefrontal cortex also accompanied better performance. Activity in the right frontostriatal systems increased with age and with better response inhibition, consistent with the known functions of frontostriatal circuits in self‐regulatory control. Age‐related deactivations in the mesial prefrontal cortex (BA 10), subgenual anterior cingulate cortex (BA 24), and posterior cingulate cortex (BA 31) likely represented the greater engagement of adults in self‐monitoring and free associative thought processes during the easier baseline task, consistent with the improved performance on this task in adults compared with children. Although we cannot exclude the possibility that age‐related changes in reading ability or in the strategies used to optimize task performance were responsible for our findings, the correlations of brain activation with performance suggest that changes in frontostriatal activity with age underlie the improvement in self‐regulatory control that characterizes normal human development. Hum Brain Mapp, 2006.


American Journal of Psychiatry | 2009

An fMRI Study of the Effects of Psychostimulants on Default-Mode Processing During Stroop Task Performance in Youths With ADHD

Bradley S. Peterson; Marc N. Potenza; Zhishun Wang; Hongtu Zhu; Andrés Martin; Rachel Marsh; Kerstin J. Plessen; Shan Yu

OBJECTIVE The authors examined the effect of psychostimulants on brain activity in children and adolescents with ADHD performing the Stroop Color and Word Test. METHOD The authors acquired 52 functional MRI scans in 16 youths with ADHD who were known responders to stimulant medication and 20 healthy comparison youths. Participants with ADHD were scanned on and off medication in a counterbalanced design, and comparison subjects were scanned once without medication. RESULTS Stimulant medication significantly improved suppression of default-mode activity in the ventral anterior cingulate cortex in the ADHD group. When off medication, youths with ADHD were unable to suppress default-mode activity to the same degree as comparison subjects, whereas when on medication, they suppressed this activity to comparison group levels. Greater activation of the lateral prefrontal cortex when off medication predicted a greater reduction in ADHD symptoms when on medication. Granger causality analyses demonstrated that activity in the lateral prefrontal and ventral anterior cingulate cortices mutually influenced one another but that the influence of the ventral anterior cingulate cortex on the lateral prefrontal cortex was significantly reduced in youths with ADHD off medication relative to comparison subjects and increased significantly to normal levels when ADHD youths were on medication. CONCLUSIONS Psychostimulants in youths with ADHD improved suppression of default-mode activity in the ventral anterior cingulate and posterior cingulate cortices, components of a circuit in which activity has been shown to correlate with the degree of mind-wandering during attentional tasks. Stimulants seem to improve symptoms in youths with ADHD by normalizing activity within this circuit and improving its functional interactions with the lateral prefrontal cortex.


Cerebral Cortex | 2012

Longitudinal Development of Cortical and Subcortical Gray Matter from Birth to 2 Years

John H. Gilmore; Feng Shi; Sandra Woolson; Rebecca C. Knickmeyer; Sarah J. Short; Weili Lin; Hongtu Zhu; Robert M. Hamer; Martin Styner; Dinggang Shen

Very little is known about cortical development in the first years of life, a time of rapid cognitive development and risk for neurodevelopmental disorders. We studied regional cortical and subcortical gray matter volume growth in a group of 72 children who underwent magnetic resonance scanning after birth and at ages 1 and 2 years using a novel longitudinal registration/parcellation approach. Overall, cortical gray matter volumes increased substantially (106%) in the first year of life and less so in the second year (18%). We found marked regional differences in developmental rates, with primary motor and sensory cortices growing slower in the first year of life with association cortices growing more rapidly. In the second year of life, primary sensory regions continued to grow more slowly, while frontal and parietal regions developed relatively more quickly. The hippocampus grew less than other subcortical structures such as the amygdala and thalamus in the first year of life. It is likely that these patterns of regional gray matter growth reflect maturation and development of underlying function, as they are consistent with cognitive and functional development in the first years of life.


Proceedings of the National Academy of Sciences of the United States of America | 2009

Cortical thinning in persons at increased familial risk for major depression

Bradley S. Peterson; Virginia Warner; Ravi Bansal; Hongtu Zhu; Xuejun Hao; Juhua Liu; Kathleen Durkin; Phillip Adams; Priya Wickramaratne; Myrna M. Weissman

The brain disturbances that place a person at risk for developing depression are unknown. We imaged the brains of 131 individuals, ages 6 to 54 years, who were biological descendants (children or grandchildren) of individuals identified as having either moderate to severe, recurrent, and functionally debilitating depression or as having no lifetime history of depression. We compared cortical thickness across high- and low-risk groups, detecting large expanses of cortical thinning across the lateral surface of the right cerebral hemisphere in persons at high risk. Thinning correlated with measures of current symptom severity, inattention, and visual memory for social and emotional stimuli. Mediator analyses indicated that cortical thickness mediated the associations of familial risk with inattention, visual memory, and clinical symptoms. These findings suggest that cortical thinning in the right hemisphere produces disturbances in arousal, attention, and memory for social stimuli, which in turn may increase the risk of developing depressive illness.


Emotion | 2010

Neural Systems Subserving Valence and Arousal During the Experience of Induced Emotions

Tiziano Colibazzi; Jonathan Posner; Zhishun Wang; Daniel A. Gorman; Andrew J. Gerber; Shan Yu; Hongtu Zhu; Alayar Kangarlu; Yunsuo Duan; James A. Russell; Bradley S. Peterson

The circumplex model of affect construes all emotions as linear combinations of 2 independent neurophysiological dimensions, valence and arousal. We used functional magnetic resonance imaging to identify the neural networks subserving valence and arousal, and we assessed, in 10 participants, the associations of the BOLD (blood oxygen level-dependent) response, an indirect index of neural activity, with ratings of valence and arousal during the emotional experiences induced by the presentation of evocative sentences. Unpleasant emotional experience was associated with increased BOLD signal intensities in the supplementary motor, anterior midcingulate, right dorsolateral prefrontal, occipito-temporal, inferior parietal, and cerebellar cortices. Highly arousing emotions were associated with increased BOLD signal intensities in the left thalamus, globus pallidus, caudate, parahippocampal gyrus, amygdala, premotor cortex, and cerebellar vermis. Separate analyses using a finite impulse response model confirmed these results and revealed that pleasant emotions engaged an additional network that included the midbrain, ventral striatum, and caudate nucleus, all portions of a reward circuit. These findings suggest the existence of distinct networks subserving the valence and arousal dimensions of emotions, with midline and medial temporal lobe structures mediating arousal and dorsal cortical areas and mesolimbic pathways mediating valence.


Journal of The Royal Statistical Society Series B-statistical Methodology | 2001

Local influence for incomplete-data models

Hongtu Zhu; Sik-Yum Lee

This paper proposes a method to assess the local influence in a minor perturbation of a statistical model with incomplete data. The idea is to utilize Cooks approach to the conditional expectation of the complete-data log-likelihood function in the EM algorithm. It is shown that the method proposed produces analytic results that are very similar to those obtained from a classical local influence approach based on the observed data likelihood function and has the potential to assess a variety of complicated models that cannot be handled by existing methods. An application to the generalized linear mixed model is investigated. Some illustrative artificial and real examples are presented.


Nature | 2017

Early brain development in infants at high risk for autism spectrum disorder

Heather Cody Hazlett; Hongbin Gu; Brent C. Munsell; Sun Hyung Kim; Martin Styner; Jason J. Wolff; Jed T. Elison; Meghan R. Swanson; Hongtu Zhu; Kelly N. Botteron; D. Louis Collins; John N. Constantino; Stephen R. Dager; Annette Estes; Alan C. Evans; Vladimir Fonov; Guido Gerig; Penelope Kostopoulos; Robert C. McKinstry; Juhi Pandey; Sarah Paterson; John R. Pruett; Robert T. Schultz; Dennis W. W. Shaw; Lonnie Zwaigenbaum; Joseph Piven

Brain enlargement has been observed in children with autism spectrum disorder (ASD), but the timing of this phenomenon, and the relationship between ASD and the appearance of behavioural symptoms, are unknown. Retrospective head circumference and longitudinal brain volume studies of two-year olds followed up at four years of age have provided evidence that increased brain volume may emerge early in development. Studies of infants at high familial risk of autism can provide insight into the early development of autism and have shown that characteristic social deficits in ASD emerge during the latter part of the first and in the second year of life. These observations suggest that prospective brain-imaging studies of infants at high familial risk of ASD might identify early postnatal changes in brain volume that occur before an ASD diagnosis. In this prospective neuroimaging study of 106 infants at high familial risk of ASD and 42 low-risk infants, we show that hyperexpansion of the cortical surface area between 6 and 12 months of age precedes brain volume overgrowth observed between 12 and 24 months in 15 high-risk infants who were diagnosed with autism at 24 months. Brain volume overgrowth was linked to the emergence and severity of autistic social deficits. A deep-learning algorithm that primarily uses surface area information from magnetic resonance imaging of the brain of 6–12-month-old individuals predicted the diagnosis of autism in individual high-risk children at 24 months (with a positive predictive value of 81% and a sensitivity of 88%). These findings demonstrate that early brain changes occur during the period in which autistic behaviours are first emerging.


Human Brain Mapping | 2009

The Neurophysiological Bases of Emotion: An fMRI Study of the Affective Circumplex Using Emotion-Denoting Words

Jonathan Posner; James A. Russell; Andrew J. Gerber; Daniel A. Gorman; Tiziano Colibazzi; Shan Yu; Zhishun Wang; Alayar Kangarlu; Hongtu Zhu; Bradley S. Peterson

Objective: We aimed to study the neural processing of emotion‐denoting words based on a circumplex model of affect, which posits that all emotions can be described as a linear combination of two neurophysiological dimensions, valence and arousal. Based on the circumplex model, we predicted a linear relationship between neural activity and incremental changes in these two affective dimensions. Methods: Using functional magnetic resonance imaging, we assessed in 10 subjects the correlations of BOLD (blood oxygen level dependent) signal with ratings of valence and arousal during the presentation of emotion‐denoting words. Results: Valence ratings correlated positively with neural activity in the left insular cortex and inversely with neural activity in the right dorsolateral prefrontal and precuneus cortices. The absolute value of valence ratings (reflecting the positive and negative extremes of valence) correlated positively with neural activity in the left dorsolateral and medial prefrontal cortex (PFC), dorsal anterior cingulate cortex, posterior cingulate cortex, and right dorsal PFC, and inversely with neural activity in the left medial temporal cortex and right amygdala. Arousal ratings and neural activity correlated positively in the left parahippocampus and dorsal anterior cingulate cortex, and inversely in the left dorsolateral PFC and dorsal cerebellum. Conclusion: We found evidence for two neural networks subserving the affective dimensions of valence and arousal. These findings clarify inconsistencies from prior imaging studies of affect by suggesting that two underlying neurophysiological systems, valence and arousal, may subserve the processing of affective stimuli, consistent with the circumplex model of affect. Hum Brain Mapp, 2009.

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Joseph G. Ibrahim

University of North Carolina at Chapel Hill

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Martin Styner

University of North Carolina at Chapel Hill

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Weili Lin

University of North Carolina at Chapel Hill

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John H. Gilmore

University of North Carolina at Chapel Hill

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Bradley S. Peterson

University of Southern California

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Dinggang Shen

University of North Carolina at Chapel Hill

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Mihye Ahn

University of North Carolina at Chapel Hill

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Yimei Li

University of North Carolina at Chapel Hill

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Hongyu An

Washington University in St. Louis

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Rebecca C. Knickmeyer

University of North Carolina at Chapel Hill

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