Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Yoonho Chung is active.

Publication


Featured researches published by Yoonho Chung.


Biological Psychiatry | 2015

Progressive Reduction in Cortical Thickness as Psychosis Develops: A Multisite Longitudinal Neuroimaging Study of Youth at Elevated Clinical Risk

Tyrone D. Cannon; Yoonho Chung; George He; Daqiang Sun; Aron Jacobson; Theo G.M. van Erp; Sarah McEwen; Jean Addington; Carrie E. Bearden; Kristin S. Cadenhead; Barbara A. Cornblatt; Daniel H. Mathalon; Thomas H. McGlashan; Diana O. Perkins; Clark Jeffries; Larry J. Seidman; Ming T. Tsuang; Elaine F. Walker; Scott W. Woods; Robert Heinssen

BACKGROUND Individuals at clinical high risk (CHR) who progress to fully psychotic symptoms have been observed to show a steeper rate of cortical gray matter reduction compared with individuals without symptomatic progression and with healthy control subjects. Whether such changes reflect processes associated with the pathophysiology of schizophrenia or exposure to antipsychotic drugs is unknown. METHODS In this multisite study, 274 CHR cases, including 35 individuals who converted to psychosis, and 135 healthy comparison subjects were scanned with magnetic resonance imaging at baseline, 12-month follow-up, or the point of conversion for the subjects who developed fully psychotic symptoms. RESULTS In a traveling subjects substudy, excellent reliability was observed for measures of cortical thickness and subcortical volumes. Controlling for multiple comparisons throughout the brain, CHR subjects who converted to psychosis showed a steeper rate of gray matter loss in the right superior frontal, middle frontal, and medial orbitofrontal cortical regions as well as a greater rate of expansion of the third ventricle compared with CHR subjects who did not convert to psychosis and healthy control subjects. Differential tissue loss was present in subjects who had not received antipsychotic medications during the interscan interval and was predicted by baseline levels of an aggregate measure of proinflammatory cytokines in plasma. CONCLUSIONS These findings demonstrate that the brain changes are not explained by exposure to antipsychotic drugs but likely play a role in psychosis pathophysiology. Given that the cortical changes were more pronounced in subjects with briefer durations of prodromal symptoms, contributing factors may predominantly play a role in acute-onset forms of psychosis.


Current Biology | 2012

Neuroanatomical assessment of biological maturity

Timothy T. Brown; Joshua M. Kuperman; Yoonho Chung; Matthew Erhart; Connor McCabe; Donald J. Hagler; Vijay K. Venkatraman; Natacha Akshoomoff; David G. Amaral; Cinnamon S. Bloss; B.J. Casey; Linda Chang; Thomas Ernst; Jean A. Frazier; Jeffrey R. Gruen; Walter E. Kaufmann; Tal Kenet; David N. Kennedy; Sarah S. Murray; Elizabeth R. Sowell; Terry L. Jernigan; Anders M. Dale

Structural MRI allows unparalleled in vivo study of the anatomy of the developing human brain. For more than two decades, MRI research has revealed many new aspects of this multifaceted maturation process, significantly augmenting scientific knowledge gathered from postmortem studies. Postnatal brain development is notably protracted and involves considerable changes in cerebral cortical, subcortical, and cerebellar structures, as well as significant architectural changes in white matter fiber tracts (see [12]). Although much work has described isolated features of neuroanatomical development, it remains a critical challenge to characterize the multidimensional nature of brain anatomy, capturing different phases of development among individuals. Capitalizing on key advances in multisite, multimodal MRI, and using cross-validated nonlinear modeling, we demonstrate that developmental brain phase can be assessed with much greater precision than has been possible using other biological measures, accounting for more than 92% of the variance in age. Further, our composite metric of morphology, diffusivity, and signal intensity shows that the average difference in phase among children of the same age is only about 1 year, revealing for the first time a latent phenotype in the human brain for which maturation timing is tightly controlled.


Proceedings of the National Academy of Sciences of the United States of America | 2012

Multimodal imaging of the self-regulating developing brain

Anders M. Fjell; Kristine B. Walhovd; Timothy T. Brown; Joshua M. Kuperman; Yoonho Chung; Donald J. Hagler; Vijay K. Venkatraman; J. Cooper Roddey; Matthew Erhart; Connor McCabe; Natacha Akshoomoff; David G. Amaral; Cinnamon S. Bloss; Ondrej Libiger; Burcu F. Darst; Nicholas J. Schork; B.J. Casey; Linda Chang; Thomas Ernst; Jeffrey R. Gruen; Walter E. Kaufmann; Tal Kenet; Jean A. Frazier; Sarah S. Murray; Elizabeth R. Sowell; Peter C.M. van Zijl; Stewart H. Mostofsky; Terry L. Jernigan; Anders M. Dale

Self-regulation refers to the ability to control behavior, cognition, and emotions, and self-regulation failure is related to a range of neuropsychiatric problems. It is poorly understood how structural maturation of the brain brings about the gradual improvement in self-regulation during childhood. In a large-scale multicenter effort, 735 children (4–21 y) underwent structural MRI for quantification of cortical thickness and surface area and diffusion tensor imaging for quantification of the quality of major fiber connections. Brain development was related to a standardized measure of cognitive control (the flanker task from the National Institutes of Health Toolbox), a critical component of self-regulation. Ability to inhibit responses and impose cognitive control increased rapidly during preteen years. Surface area of the anterior cingulate cortex accounted for a significant proportion of the variance in cognitive performance. This finding is intriguing, because characteristics of the anterior cingulum are shown to be related to impulse, attention, and executive problems in neurodevelopmental disorders, indicating a neural foundation for self-regulation abilities along a continuum from normality to pathology. The relationship was strongest in the younger children. Properties of large-fiber connections added to the picture by explaining additional variance in cognitive control. Although cognitive control was related to surface area of the anterior cingulate independently of basic processes of mental speed, the relationship between white matter quality and cognitive control could be fully accounted for by speed. The results underscore the need for integration of different aspects of brain maturation to understand the foundations of cognitive development.


Proceedings of the National Academy of Sciences of the United States of America | 2012

Long-term influence of normal variation in neonatal characteristics on human brain development

Kristine B. Walhovd; Anders M. Fjell; Timothy T. Brown; Joshua M. Kuperman; Yoonho Chung; Donald J. Hagler; J. Cooper Roddey; Matthew Erhart; Connor McCabe; Natacha Akshoomoff; David G. Amaral; Cinnamon S. Bloss; Ondrej Libiger; Nicholas J. Schork; Burcu F. Darst; B.J. Casey; Linda Chang; Thomas Ernst; Jean A. Frazier; Jeffrey R. Gruen; Walter E. Kaufmann; Sarah S. Murray; Peter C. M. van Zijl; Stewart H. Mostofsky; Anders M. Dale

It is now recognized that a number of cognitive, behavioral, and mental health outcomes across the lifespan can be traced to fetal development. Although the direct mediation is unknown, the substantial variance in fetal growth, most commonly indexed by birth weight, may affect lifespan brain development. We investigated effects of normal variance in birth weight on MRI-derived measures of brain development in 628 healthy children, adolescents, and young adults in the large-scale multicenter Pediatric Imaging, Neurocognition, and Genetics study. This heterogeneous sample was recruited through geographically dispersed sites in the United States. The influence of birth weight on cortical thickness, surface area, and striatal and total brain volumes was investigated, controlling for variance in age, sex, household income, and genetic ancestry factors. Birth weight was found to exert robust positive effects on regional cortical surface area in multiple regions as well as total brain and caudate volumes. These effects were continuous across birth weight ranges and ages and were not confined to subsets of the sample. The findings show that (i) aspects of later child and adolescent brain development are influenced at birth and (ii) relatively small differences in birth weight across groups and conditions typically compared in neuropsychiatric research (e.g., Attention Deficit Hyperactivity Disorder, schizophrenia, and personality disorders) may influence group differences observed in brain parameters of interest at a later stage in life. These findings should serve to increase our attention to early influences.


NeuroImage | 2016

The Pediatric Imaging, Neurocognition, and Genetics (PING) Data Repository

Terry L. Jernigan; Timothy T. Brown; Donald J. Hagler; Natacha Akshoomoff; Hauke Bartsch; Erik Newman; Wesley K. Thompson; Cinnamon S. Bloss; Sarah S. Murray; Nicholas J. Schork; David N. Kennedy; Joshua M. Kuperman; Connor McCabe; Yoonho Chung; Ondrej Libiger; Melanie Maddox; B.J. Casey; Linda Chang; Thomas Ernst; Jean A. Frazier; Jeffrey R. Gruen; Elizabeth R. Sowell; Tal Kenet; Walter E. Kaufmann; Stewart H. Mostofsky; David G. Amaral; Anders M. Dale

The main objective of the multi-site Pediatric Imaging, Neurocognition, and Genetics (PING) study was to create a large repository of standardized measurements of behavioral and imaging phenotypes accompanied by whole genome genotyping acquired from typically-developing children varying widely in age (3 to 20 years). This cross-sectional study produced sharable data from 1493 children, and these data have been described in several publications focusing on brain and cognitive development. Researchers may gain access to these data by applying for an account on the PING portal and filing a data use agreement. Here we describe the recruiting and screening of the children and give a brief overview of the assessments performed, the imaging methods applied, the genetic data produced, and the numbers of cases for whom different data types are available. We also cite sources of more detailed information about the methods and data. Finally we describe the procedures for accessing the data and for using the PING data exploration portal.


Developmental Cognitive Neuroscience | 2014

Brain volume reductions in adolescent heavy drinkers.

Lindsay M. Squeglia; Daniel A. Rinker; Hauke Bartsch; Norma Castro; Yoonho Chung; Anders M. Dale; Terry L. Jernigan; Susan F. Tapert

Highlights • Pre-existing frontal brain volume differences were found in future drinkers.• Adolescent drinkers showed greater brain volume reduction post-alcohol initiation.• Volume reduction occurred in subcortical and temporal regions.• QUARC is a useful tool for quantifying longitudinal brain volume changes.


Journal of Nervous and Mental Disease | 2015

Brain imaging during the transition from psychosis prodrome to schizophrenia.

Yoonho Chung; Tyrone D. Cannon

Abstract Neuroimaging studies have identified patterns of brain abnormalities in various stages of schizophrenia, but whether these abnormalities reflect primary factors associated with the causes of illness or secondary phenomena such as medications has been unclear. Recent work conducted within the prodromal risk paradigm suggests that progressive change in brain structure and function occurs around the time when clinically high-risk individuals transition into full-blown psychosis, effects that cannot be explained by exposure to medications or illness chronicity. This article reviews recent work bearing on the question of the timing of onset and course of brain changes, focusing on structural MRI, diffusion tensor imaging, and resting state connectivity MRI, in association with the onset and course of psychosis. We conclude with a consideration of potential mechanisms underlying progressive tissue changes during the prodromal phase of schizophrenia and implications for prevention.


Molecular Neuropsychiatry | 2015

Prodromal Symptom Severity Predicts Accelerated Gray Matter Reduction and Third Ventricle Expansion among Clinically High-Risk Youth Developing Psychotic Disorders

Yoonho Chung; Aron Jacobson; George He; Theo G.M. van Erp; Sarah McEwen; Jean Addington; Carrie E. Bearden; Kristin S. Cadenhead; Barbara A. Cornblatt; Daniel H. Mathalon; Thomas H. McGlashan; Diana O. Perkins; Larry J. Seidman; Ming T. Tsuang; Elaine F. Walker; Scott W. Woods; Robert Heinssen; Tyrone D. Cannon

A recent prospective longitudinal neuroimaging study of 274 prodromal risk syndrome subjects revealed that those who later developed full-blown psychotic symptoms had exhibited accelerated gray matter loss and third ventricle expansion around the time of psychosis onset. Previous studies also indicate that higher levels of unusual thought content during prodromal states are a significant predictor of psychosis in clinically high-risk (CHR) youth. However, the relationship between clinical symptoms and changes in neuroanatomical structure has not been previously examined in the North American Prodrome Longitudinal Study (NAPLS) sample at the whole-brain level. In this report, we investigated whether symptom severity as measured by the Scale of Prodromal Symptoms (SOPS) predicted the accelerated gray matter decline in 274 CHR cases, including 35 who converted to psychosis. Higher levels of unusual thought content at baseline were associated with a steeper rate of gray matter loss in the prefrontal cortex bilaterally among converters. In contrast, there was no association found among nonconverters. Steeper gray matter loss seems to be unique to those (CHR) individuals with higher levels of subpsychotic predelusional symptoms that acutely worsen in the ramp-up to full-blown psychosis, and as such may reflect pathophysiological processes driving the emergence of psychosis.


Neuropsychopharmacology | 2018

Complement Gene Expression Correlates with Superior Frontal Cortical Thickness in Humans

Dana M. Allswede; Amanda B. Zheutlin; Yoonho Chung; Kevin Anderson; Christina M. Hultman; Martin Ingvar; Tyrone D. Cannon

Recent work suggests that genes encoding complement proteins that are active in the innate immune system may confer risk for schizophrenia by disrupting typical synaptic pruning in late adolescence. Alterations in the complement pathway may contribute to aberrant cortical thinning in schizophrenia prodromes and reduced prefrontal cortical thickness in chronic schizophrenia patients; however, this theory needs to be translated to humans. We conducted a series of analyses in a sample of adult Swedish twins enriched for schizophrenia (N=129) to assess the plausibility of a relationship between complement gene expression and cortical thickness that could go awry in the etiology of schizophrenia. First, we identified that peripheral mRNA expression levels of two complement genes (C5, SERPING1) made unique contributions to the variance in superior frontal cortical thickness among all participants. Vertex-wise maps of the association between gene expression levels and thickness across the cortex suggested that this relationship was especially strong with SERPING1 in the superior frontal region, consistent with the pattern of disruption in cortical thickness observed in schizophrenia. Additional analyses identified that these genes are expressed in the human superior frontal cortex, that heritable genetic factors influence SERPING1 gene expression levels, and that these associations are observed regardless of case status. These findings provide initial evidence linking the complement system with cortical thinning in humans, a process potentially involved in the pathogenesis of schizophrenia.


Neuroscience & Biobehavioral Reviews | 2016

Hippocampal volume in subjects at clinical high-risk for psychosis: A systematic review and meta-analysis.

Anna Walter; Claudia Suenderhauf; Fabienne Harrisberger; Claudia Lenz; Renata Smieskova; Yoonho Chung; Tyrone D. Cannon; Carrie E. Bearden; Charlotte Rapp; Kerstin Bendfeldt; Stefan Borgwardt; Tobias Vogel

Several magnetic resonance imaging studies have reported reductions in hippocampal volume in patients with psychosis. It is unclear whether structural abnormalities predate illness onset. We conducted a detailed, systematic literature search for studies reporting hippocampal volume in subjects with clinical high-risk, compared to healthy controls. The overall sample size comprised 1429 subjects. Meta-analysis revealed no difference for left, but a small, albeit significant, difference for right hippocampal volume, such that clinical high-risk patients had slightly smaller hippocampal volume than healthy controls (g=0.24, p=0.0418). Meta-regression indicated a moderating effect of manual tracing approach, due to one outlying site. The small difference on the right side did not remain significant (g=0.14, 95%CI=[-0.03-0.32], p=0.11) after removal of this outlier. This meta-analysis suggests that there is no reduction in hippocampal volume before transition to psychosis and hippocampal volume cannot be used as a biomarker in clinical high-risk individuals.

Collaboration


Dive into the Yoonho Chung's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Barbara A. Cornblatt

North Shore-LIJ Health System

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Diana O. Perkins

University of North Carolina at Chapel Hill

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Ming T. Tsuang

University of California

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge