H
Hengyi Cao
Researcher at Yale University
Publications - 51
Citations - 955
Hengyi Cao is an academic researcher from Yale University. The author has contributed to research in topics: Medicine & Schizophrenia (object-oriented programming). The author has an hindex of 13, co-authored 31 publications receiving 652 citations. Previous affiliations of Hengyi Cao include Zhejiang University & Heidelberg University.
Papers
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Journal ArticleDOI
Test–retest reliability of fMRI-based graph theoretical properties during working memory, emotion processing, and resting state
Hengyi Cao,Michael M. Plichta,Axel Schäfer,Leila Haddad,Oliver Grimm,Michael Schneider,Christine Esslinger,Peter Kirsch,Andreas Meyer-Lindenberg,Heike Tost +9 more
TL;DR: The test-retest reliability of brain graphs calculated from 26 healthy participants with three established fMRI experiments and two parcellation schemes for node definition are studied to inform the choice of processing strategies, brain atlases and outcome properties for fMRI studies using active tasks, graph theory methods and within-subject designs.
Journal ArticleDOI
Cerebello-thalamo-cortical hyperconnectivity as a state-independent functional neural signature for psychosis prediction and characterization.
Hengyi Cao,Oliver Y. Chén,Yoonho Chung,Jennifer K. Forsyth,Sarah McEwen,Dylan G. Gee,Carrie E. Bearden,Jean Addington,Bradley G. Goodyear,Kristin S. Cadenhead,Heline Mirzakhanian,Barbara A. Cornblatt,Ricardo E. Carrión,Daniel H. Mathalon,Thomas H. McGlashan,Diana O. Perkins,Aysenil Belger,Larry J. Seidman,Heidi W. Thermenos,Ming T. Tsuang,Theo G.M. van Erp,Elaine F. Walker,Stephan Hamann,Alan Anticevic,Scott W. Woods,Tyrone D. Cannon +25 more
TL;DR: It is discovered that increased neural connectivity in the cerebello-thalamo-cortical circuitry predicts psychosis in those at high risk, and is present in people with schizophrenia.
Journal ArticleDOI
Altered resting-state dynamic functional brain networks in major depressive disorder: Findings from the REST-meta-MDD consortium
Yi-Cheng Long,Hengyi Cao,Chao-Gan Yan,Xiao Chen,Le Li,Francisco X. Castellanos,Tong-Jian Bai,Qi-Jing Bo,Guanmao Chen,Ning-Xuan Chen,Wei Chen,Chang Cheng,Yu-Qi Cheng,Xi-Long Cui,Jia Duan,Yi-Ru Fang,Qiyong Gong,Wenbin Guo,Zheng-Hua Hou,Lan Hu,Li Kuang,Feng Li,Kaiming Li,Tao Li,Yan-Song Liu,Qing-Hua Luo,Hua-Qing Meng,Daihui Peng,Hai-Tang Qiu,Jiang Qiu,Yue-Di Shen,Yu-Shu Shi,Tian-Mei Si,Chuanyue Wang,Fei Wang,Kai Wang,Li Wang,Xiang Wang,Ying Wang,Xiao-Ping Wu,Xinran Wu,Chunming Xie,Guang-Rong Xie,Hai-Yan Xie,Peng Xie,Xiufeng Xu,Hong Yang,Jian Yang,Jia-Shu Yao,Shuqiao Yao,Ying-Ying Yin,Yonggui Yuan,Ai-Xia Zhang,Hong Zhang,Kerang Zhang,Lei Zhang,Zhijun Zhang,Ru-Bai Zhou,Yi-Ting Zhou,Jun-Juan Zhu,Chao-Jie Zou,Yu-Feng Zang,Jingping Zhao,Calais Kin Yuen Chan,Weidan Pu,Zhening Liu +65 more
TL;DR: The findings suggest that excessive temporal variations of brain FC, reflecting abnormal communications between large-scale bran networks over time, may underlie the neuropathology of MDD.
Journal ArticleDOI
The protocadherin 17 gene affects cognition, personality, amygdala structure and function, synapse development and risk of major mood disorders
Hong Chang,Naosuke Hoshina,Naosuke Hoshina,Chen Zhang,Yina Ma,Hengyi Cao,Y. Wang,Dong-Dong Wu,Sarah E. Bergen,Sarah E. Bergen,Mikael Landén,Mikael Landén,Christina M. Hultman,Martin Preisig,Zoltán Kutalik,Zoltán Kutalik,Enrique Castelao,Maria Grigoroiu-Serbanescu,Andreas J. Forstner,Jana Strohmaier,Julian Hecker,Thomas G. Schulze,Bertram Müller-Myhsok,Bertram Müller-Myhsok,Andreas Reif,Philip B. Mitchell,Philip B. Mitchell,Nicholas G. Martin,Peter R. Schofield,Peter R. Schofield,Sven Cichon,M. M. Nöthen,Henrik Walter,Susanne Erk,A. Heinz,Najaf Amin,C.M. van Duijn,Andreas Meyer-Lindenberg,Heike Tost,Xiao Xiao,Tadashi Yamamoto,M. Rietschel,Ming Li +42 more
TL;DR: Brain expressed protocadherin 17 (PCDH17) is revealed as a susceptibility gene for major mood disorders involved in synaptic function and related intermediate phenotypes.
Journal ArticleDOI
Altered Functional Subnetwork During Emotional Face Processing: A Potential Intermediate Phenotype for Schizophrenia.
Hengyi Cao,Alessandro Bertolino,Alessandro Bertolino,Henrik Walter,Michael Schneider,Axel Schäfer,Paolo Taurisano,Giuseppe Blasi,Leila Haddad,Oliver Grimm,Kristina Otto,Luanna Dixson,Susanne Erk,Sebastian Mohnke,Andreas Heinz,Nina Romanczuk-Seiferth,Thomas W. Mühleisen,Thomas W. Mühleisen,Manuel Mattheisen,Manuel Mattheisen,Stephanie H. Witt,Sven Cichon,Markus M. Noethen,Markus M. Noethen,Marcella Rietschel,Heike Tost,Andreas Meyer-Lindenberg +26 more
TL;DR: The results indicate that altered connectivity in a visual-limbic subnetwork during emotional face processing may be a functional connectomic intermediate phenotype for schizophrenia and the phenotype is reliable, task specific, related to trait anxiety, and associated with manifest illness.