Search

Your search keyword '"Chu, Zili D."' showing total 19 results
Start Over Author "Chu, Zili D." Search Limiters Available in Library Collection
19 results on '"Chu, Zili D."'

2. Localization of Epileptic Seizure Focus by Computerized Analysis of fMRI Recordings

Author

Hekmati, Rasoul, Azencott, Robert, Zhang, Wei, Chu, Zili D., and Paldino, Michael J.

Subjects
Quantitative Biology - Quantitative Methods, Quantitative Biology - Neurons and Cognition
Abstract

By computerized analysis of cortical activity recorded via fMRI for pediatric epilepsy patients, we implement algorithmic localization of epileptic seizure focus within one of eight cortical lobes. Our innovative machine learning techniques involve intensive analysis of large matrices of mutual information coefficients between pairs of anatomically identified cortical regions. Drastic selection of pairs of regions with significant inter-connectivity provide efficient inputs for our Multi-Layer Perceptron (MLP) classifier. By imposing rigorous parameter parsimony to avoid over fitting we construct a small size MLP with very good percentages of successful classification., Comment: 25 pages,5 figures

Published
2018

3. Postnatal Brain Trajectories and Maternal Intelligence Predict Childhood Outcomes in Complex CHD

Author

Lee, Vincent K., primary, Ceschin, Rafael, additional, Reynolds, William T., additional, Meyers, Benjamin, additional, Wallace, Julia, additional, Landsittel, Douglas, additional, Joseph, Heather M., additional, Badaly, Daryaneh, additional, Gaynor, J. William, additional, Licht, Daniel, additional, Greene, Nathaniel H., additional, Brady, Ken M., additional, Hunter, Jill V., additional, Chu, Zili D., additional, Wilde, Elisabeth A., additional, Easley, R. Blaine, additional, Andropoulos, Dean, additional, and Panigrahy, Ashok, additional

Published
2024
Full Text
View/download PDF

4. Neuroimaging Correlates of Novel Psychiatric Disorders After Pediatric Traumatic Brain Injury

Author

Max, Jeffrey E, Wilde, Elisabeth A, Bigler, Erin D, Thompson, Wesley K, MacLeod, Marianne, Vasquez, Ana C, Merkley, Tricia L, Hunter, Jill V, Chu, Zili D, Yallampalli, Ragini, Hotz, Gillian, Chapman, Sandra B, Yang, Tony T, and Levin, Harvey S

Subjects
Clinical and Health Psychology, Biomedical and Clinical Sciences, Clinical Sciences, Psychology, Childhood Injury, Clinical Trials and Supportive Activities, Neurosciences, Pediatric, Physical Injury - Accidents and Adverse Effects, Clinical Research, Biomedical Imaging, Traumatic Head and Spine Injury, Brain Disorders, Traumatic Brain Injury (TBI), Injuries and accidents, Neurological, Adolescent, Brain, Brain Injuries, Child, Diffusion Tensor Imaging, Female, Humans, Magnetic Resonance Imaging, Male, Mental Disorders, Neuroimaging, Prospective Studies, Psychiatric Status Rating Scales, Severity of Illness Index, TBI, pediatric, psychiatric disorders, prospective, diffusion tensor imaging, Medical and Health Sciences, Psychology and Cognitive Sciences, Developmental & Child Psychology, Clinical sciences, Paediatrics, Applied and developmental psychology
Abstract

ObjectiveTo study magnetic resonance imaging (MRI) correlates of novel (new-onset) psychiatric disorders (NPD) after traumatic brain injury (TBI) and orthopedic injury (OI).MethodParticipants were 7 to 17 years of age at the time of hospitalization for either TBI or OI. The study used a prospective, longitudinal, controlled design with standardized psychiatric assessments conducted at baseline (reflecting pre-injury function) and 3 months post-injury. MRI assessments including diffusion tensor imaging (DTI)-derived fractional anisotropy (FA), volumetric measures of gray and white matter regions, volumetric measures of lesions, and cortical thickness were conducted. Injury severity was assessed by standard clinical scales. The outcome measure was the presence of an NPD identified during the first 3 months after injury.ResultsThere were 88 participants (TBI, 44; OI, 44). NPD occurred more frequently in the TBI (21/44; 48%) versus the OI (6/44; 14%) group (Fisher's exact test, p = .001). NPD in TBI participants was not related to injury severity. Multivariate analysis of covariance of the relationship between FA in hypothesized regions of interest (bilateral frontal and temporal lobes, bilateral centrum semiovale, bilateral uncinate fasciculi) and NPD and group (TBI versus OI) was significant, and both variables (NPD, p < .05; group, p < .001) were jointly significantly related to FA. NPD was not significantly related to volumetric measures of white or gray matter structures, volumetric measures of lesions, or cortical thickness measures.ConclusionsLowered white matter integrity may be more important in the pathophysiology of NPD than indices of gray matter or white matter atrophic changes, macroscopic lesions, and injury severity.

Published
2012

6. Cognitive Sparing in Proton versus Photon Radiotherapy for Pediatric Brain Tumor Is Associated with White Matter Integrity: An Exploratory Study

Author

Mash, Lisa E., primary, Kahalley, Lisa S., additional, Raghubar, Kimberly P., additional, Goodrich-Hunsaker, Naomi J., additional, Abildskov, Tracy J., additional, De Leon, Luz A., additional, MacLeod, Marianne, additional, Stancel, Heather, additional, Parsons, Kelley, additional, Biekman, Brian, additional, Desai, Nilesh K., additional, Grosshans, David R., additional, Paulino, Arnold C., additional, Chu, Zili D., additional, Whitehead, William E., additional, Okcu, Mehmet Fatih, additional, Chintagumpala, Murali, additional, and Wilde, Elisabeth A., additional

Published
2023
Full Text
View/download PDF

7. A Preliminary DTI Tractography Study of Developmental Neuroplasticity 5–15 Years After Early Childhood Traumatic Brain Injury

Author

Wilde, Elisabeth A., primary, Hyseni, Ilirjana, additional, Lindsey, Hannah M., additional, Faber, Jessica, additional, McHenry, James M., additional, Bigler, Erin D., additional, Biekman, Brian D., additional, Hollowell, Laura L., additional, McCauley, Stephen R., additional, Hunter, Jill V., additional, Ewing-Cobbs, Linda, additional, Aitken, Mary E., additional, MacLeod, Marianne, additional, Chu, Zili D., additional, Noble-Haeusslein, Linda J., additional, and Levin, Harvey S., additional

Published
2021
Full Text
View/download PDF

10. Developmental Alterations in Cortical Organization and Socialization in Adolescents Who Sustained a Traumatic Brain Injury in Early Childhood

Author

Wilde, Elisabeth A., primary, Merkley, Tricia L., additional, Lindsey, Hannah M., additional, Bigler, Erin D., additional, Hunter, Jill V., additional, Ewing-Cobbs, Linda, additional, Aitken, Mary E., additional, MacLeod, Marianne C., additional, Hanten, Gerri, additional, Chu, Zili D., additional, Abildskov, Tracy J., additional, Noble-Haeusslein, Linda J., additional, and Levin, Harvey S., additional

Published
2021
Full Text
View/download PDF

11. Persistent Disruption of Brain Connectivity after Sports-Related Concussion in a Female Athlete

Author

Wilde, Elisabeth A., primary, Newsome, Mary R., additional, Ott, Summer D., additional, Hunter, Jill V., additional, Dash, Pramod, additional, Redell, John, additional, Spruiell, Matthew, additional, Diaz, Marlene, additional, Chu, Zili D., additional, Goodrich-Hunsaker, Naomi, additional, Petrie, JoAnn, additional, Li, Ruosha, additional, and Levin, Harvey, additional

Published
2019
Full Text
View/download PDF

16. TM4SF20 Ancestral Deletion and Susceptibility to a Pediatric Disorder of Early Language Delay and Cerebral White Matter Hyperintensities

Author

Wiszniewski, Wojciech, primary, Hunter, Jill V., additional, Hanchard, Neil A., additional, Willer, Jason R., additional, Shaw, Chad, additional, Tian, Qi, additional, Illner, Anna, additional, Wang, Xueqing, additional, Cheung, Sau W., additional, Patel, Ankita, additional, Campbell, Ian M., additional, Gelowani, Violet, additional, Hixson, Patricia, additional, Ester, Audrey R., additional, Azamian, Mahshid S., additional, Potocki, Lorraine, additional, Zapata, Gladys, additional, Hernandez, Patricia P., additional, Ramocki, Melissa B., additional, Santos-Cortez, Regie L.P., additional, Wang, Gao, additional, York, Michele K., additional, Justice, Monica J., additional, Chu, Zili D., additional, Bader, Patricia I., additional, Omo-Griffith, Lisa, additional, Madduri, Nirupama S., additional, Scharer, Gunter, additional, Crawford, Heather P., additional, Yanatatsaneejit, Pattamawadee, additional, Eifert, Anna, additional, Kerr, Jeffery, additional, Bacino, Carlos A., additional, Franklin, Adiaha I.A., additional, Goin-Kochel, Robin, additional, Simpson, Gayle, additional, Immken, Ladonna, additional, Haque, Muhammad E., additional, Stosic, Marija, additional, Williams, Misti D., additional, Morgan, Thomas M., additional, Pruthi, Sumit, additional, Omary, Reed, additional, Boyadjiev, Simeon A., additional, Win, Kay K., additional, Thida, Aye, additional, Hurles, Matthew, additional, Hibberd, Martin Lloyd, additional, Khor, Chiea Chuen, additional, Van Vinh Chau, Nguyen, additional, Gallagher, Thomas E., additional, Mutirangura, Apiwat, additional, Stankiewicz, Pawel, additional, Beaudet, Arthur L., additional, Maletic-Savatic, Mirjana, additional, Rosenfeld, Jill A., additional, Shaffer, Lisa G., additional, Davis, Erica E., additional, Belmont, John W., additional, Dunstan, Sarah, additional, Simmons, Cameron P., additional, Bonnen, Penelope E., additional, Leal, Suzanne M., additional, Katsanis, Nicholas, additional, Lupski, James R., additional, and Lalani, Seema R., additional

Published
2013
Full Text
View/download PDF

18. Obesity-Related Metabolic Risk in Sedentary Hispanic Adolescent Girls with Normal BMI.

Author

van der Heijden GJ, Wang ZJ, Chu ZD, Haymond M, Sauer PJJ, and Sunehag AL

Abstract

Hispanic adolescent girls with normal BMI frequently have high body fat %. Without knowledge of body fat content and distribution, their risk for metabolic complications is unknown. We measured metabolic risk indicators and abdominal fat distribution in post-pubertal Hispanic adolescent girls with Normal BMI (N-BMI: BMI < 85th percentile) and compared these indicators between girls with Normal BMI and High Fat content (N-BMI-HF: body fat &ge; 27%; n = 15) and Normal BMI and Normal Fat content (N-BMI-NF: body fat < 27%; n = 8). Plasma concentrations of glucose, insulin, adiponectin, leptin and Hs-CRP were determined. Insulin resistance was calculated using an oral glucose tolerance test. Body fat % was measured by DXA and subcutaneous, visceral and hepatic fat by MRI/MRS. The N-BMI-HF girls had increased abdominal and hepatic fat content and increased insulin resistance, plasma leptin and Hs-CRP concentrations ( p < 0.05) as compared to their N-BMI-NF counterparts. In N-BMI girls, insulin resistance, plasma insulin and leptin correlated with BMI and body fat % ( p < 0.05). This research confirms the necessity of the development of BMI and body fat % cut-off criteria per sex, age and racial/ethnic group based on metabolic risk factors to optimize the effectiveness of metabolic risk screening procedures.

Published
2018
Full Text
View/download PDF

19. Metrics of brain network architecture capture the impact of disease in children with epilepsy.

Author

Paldino MJ, Zhang W, Chu ZD, and Golriz F

Subjects
Adolescent, Adult, Child, Child, Preschool, Female, Humans, Magnetic Resonance Imaging, Male, Retrospective Studies, Time Factors, Young Adult, Cerebral Cortex diagnostic imaging, Connectome methods, Epilepsies, Partial diagnostic imaging, Intelligence physiology, Machine Learning, Nerve Net diagnostic imaging
Abstract

Background and Objective: Epilepsy is associated with alterations in the structural framework of the cerebral network. The aim of this study was to measure the potential of global metrics of network architecture derived from resting state functional MRI to capture the impact of epilepsy on the developing brain., Methods: Pediatric patients were retrospectively identified with: 1. Focal epilepsy; 2. Brain MRI at 3 Tesla, including resting state functional MRI; 3. Full scale IQ measured by a pediatric neuropsychologist. The cerebral cortex was parcellated into approximately 700 gray matter network nodes. The strength of a connection between two nodes was defined as the correlation between their resting BOLD signal time series. The following global network metrics were then calculated: clustering coefficient, transitivity, modularity, path length, and global efficiency. Epilepsy duration was used as an index for the cumulative impact of epilepsy on the brain., Results: 45 patients met criteria (age: 4-19 years). After accounting for age of epilepsy onset, epilepsy duration was inversely related to IQ ( p : 0.01). Epilepsy duration predicted by a machine learning algorithm on the basis of the five global network metrics was highly correlated with actual epilepsy duration (r: 0.95; p : 0.0001). Specifically, modularity and to a lesser extent path length and global efficiency were independently associated with epilepsy duration., Conclusions: We observed that a machine learning algorithm accurately predicted epilepsy duration based on global metrics of network architecture derived from resting state fMRI. These findings suggest that network metrics have the potential to form the basis for statistical models that translate quantitative imaging data into patient-level markers of cognitive deterioration.

Published
2016
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results