E
Erica J. Ho
Researcher at MIND Institute
Publications - 12
Citations - 589
Erica J. Ho is an academic researcher from MIND Institute. The author has contributed to research in topics: Eye tracking & Cognition. The author has an hindex of 6, co-authored 11 publications receiving 472 citations. Previous affiliations of Erica J. Ho include Yale University & Nathan Kline Institute for Psychiatric Research.
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Journal ArticleDOI
An open science resource for establishing reliability and reproducibility in functional connectomics
Xi-Nian Zuo,Jeffrey S. Anderson,Pierre Bellec,Rasmus M. Birn,Bharat B. Biswal,Janusch Blautzik,John C.S. Breitner,Randy L. Buckner,Vince D. Calhoun,F. Xavier Castellanos,F. Xavier Castellanos,Antao Chen,Bing Chen,Jiangtao Chen,Xu Chen,Stanley J. Colcombe,William Courtney,R. Cameron Craddock,Adriana Di Martino,Hao Ming Dong,Xiaolan Fu,Qiyong Gong,Krzysztof J. Gorgolewski,Ying Han,Ye He,Yong He,Erica J. Ho,Avram J. Holmes,Xiao Hui Hou,Jeremy F. Huckins,Tianzi Jiang,Yi Jiang,William M. Kelley,Clare Kelly,Margaret D. King,Stephen M. LaConte,Janet E. Lainhart,Xu Lei,Huijie Li,Kaiming Li,Kuncheng Li,Qixiang Lin,Dong-Qiang Liu,Jia Liu,Xun Liu,Yijun Liu,Guangming Lu,Jie Lu,Beatriz Luna,Jing Luo,Daniel J. Lurie,Ying Mao,Daniel S. Margulies,Andrew R. Mayer,Thomas Meindl,Mary E. Meyerand,Weizhi Nan,Jared A. Nielsen,David H. O’Connor,David J. Paulsen,Vivek Prabhakaran,Zhigang Qi,Jiang Qiu,Chunhong Shao,Zarrar Shehzad,Weijun Tang,Arno Villringer,Huiling Wang,Kai Wang,Dongtao Wei,Gao-Xia Wei,Xu Chu Weng,Xuehai Wu,Ting Xu,Ning Yang,Zhi Yang,Yu-Feng Zang,Lei Zhang,Qinglin Zhang,Zhe Zhang,Zhiqiang Zhang,Ke Zhao,Zonglei Zhen,Yuan Zhou,Xing Ting Zhu,Michael P. Milham +85 more
TL;DR: The Consortium for Reliability and Reproducibility (CoRR) has aggregated 1,629 typical individuals’ resting state fMRI data from 18 international sites, and is openly sharing them via the International Data-sharing Neuroimaging Initiative (INDI).
Journal ArticleDOI
Data-Driven Phenotypic Categorization for Neurobiological Analyses: Beyond DSM-5 Labels
Nicholas T. Van Dam,Nicholas T. Van Dam,Nicholas T. Van Dam,David H. O’Connor,David H. O’Connor,Enitan T Marcelle,Enitan T Marcelle,Erica J. Ho,R. Cameron Craddock,R. Cameron Craddock,Russell H. Tobe,Vilma Gabbay,James J. Hudziak,Francisco X. Castellanos,Francisco X. Castellanos,Bennett L. Leventhal,Bennett L. Leventhal,Michael P. Milham,Michael P. Milham,Michael P. Milham +19 more
TL;DR: Data-driven approaches for identifying homogenous subgroups, spanning typical function to dysfunction, not only yielded clinically meaningful groups, but also captured behavioral and neurobiological variation among healthy individuals.
Journal ArticleDOI
A resource for assessing information processing in the developing brain using EEG and eye tracking.
Nicolas Langer,Erica J. Ho,Erica J. Ho,Lindsay Alexander,Helen Y. Xu,Renee K. Jozanovic,Simon Henin,Agustin Petroni,Samantha Cohen,Samantha Cohen,Enitan T Marcelle,Enitan T Marcelle,Lucas C. Parra,Michael P. Milham,Michael P. Milham,Simon P. Kelly,Simon P. Kelly +16 more
TL;DR: A dataset combining electrophysiology and eye tracking intended as a resource for the investigation of information processing in the developing brain is presented, which it is hoped will lead to the development of novel assays of neural processes fundamental to information processing.
Journal ArticleDOI
Imaging the "At-Risk" Brain: Future Directions.
Maki S. Koyama,Adriana Di Martino,Francisco X. Castellanos,Erica J. Ho,Enitan T Marcelle,Bennett L. Leventhal,Michael P. Milham +6 more
TL;DR: A selective review of potentially high-yield populations for longitudinal examination with MRI, based upon the understanding of risk from epidemiologic studies and initial MRI findings, suggests strategic longitudinal examination of the brain at-risk has the potential to bring the concepts of early intervention and prevention to psychiatry.
Posted ContentDOI
Data-Driven Phenotypic Categorization for Neurobiological Analyses: Beyond DSM-5 Labels
Nicholas T. Van Dam,David H. O’Connor,Enitan T Marcelle,Erica J. Ho,R. Cameron Craddock,Russell H. Tobe,Vilma Gabbay,James J. Hudziak,Francisco X. Castellanos,Bennett L. Leventhal,Michael P. Milham +10 more
TL;DR: Data-driven approaches for identifying homogenous subgroups, spanning typical function to dysfunction not only yielded clinically meaningful groups, but captured behavioral and neurobiological variation among healthy individuals as well.