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132 results on '"Yan, Chao-gan"'

104. Reduced Default Mode Network Functional Connectivity in Patients with Recurrent Major Depressive Disorder

Author

Yan, Chao-Gan, primary, Chen, Xiao, additional, Li, Le, additional, Castellanos, Francisco Xavier, additional, Bai, Tong-Jian, additional, Bo, Qi-Jing, additional, Chen, Guan-Mao, additional, Chen, Ning-Xuan, additional, Chen, Wei, additional, Cheng, Chang, additional, Cheng, Yu-Qi, additional, Cui, Xi-Long, additional, Duan, Jia, additional, Fang, Yi-Ru, additional, Gong, Qi-Yong, additional, Guo, Wen-Bin, additional, Hou, Zheng-Hua, additional, Hu, Lan, additional, Kuang, Li, additional, Li, Feng, additional, Li, Kai-Ming, additional, Li, Tao, additional, Liu, Yan-Song, additional, Liu, Zhe-Ning, additional, Long, Yi-Cheng, additional, Luo, Qing-Hua, additional, Meng, Hua-Qing, additional, Peng, Dai-Hui, additional, Qiu, Hai-Tang, additional, Qiu, Jiang, additional, Shen, Yue-Di, additional, Shi, Yu-Shu, additional, Wang, Chuan-Yue, additional, Wang, Fei, additional, Wang, Kai, additional, Wang, Li, additional, Wang, Xiang, additional, Wang, Ying, additional, Wu, Xiao-Ping, additional, Wu, Xin-Ran, additional, Xie, Chun-Ming, additional, Xie, Guang-Rong, additional, Xie, Hai-Yan, additional, Xie, Peng, additional, Xu, Xiu-Feng, additional, Yang, Hong, additional, Yang, Jian, additional, Yao, Jia-Shu, additional, Yao, Shu-Qiao, additional, Yin, Ying-Ying, additional, Yuan, Yong-Gui, additional, Zhang, Ai-Xia, additional, Zhang, Hong, additional, Zhang, Ke-Rang, additional, Zhang, Lei, additional, Zhang, Zhi-Jun, additional, Zhou, Ru-Bai, additional, Zhou, Yi-Ting, additional, Zhu, Jun-Juan, additional, Zou, Chao-Jie, additional, Si, Tian-Mei, additional, Zuo, Xi-Nian, additional, Zhao, Jing-Ping, additional, and Zang, Yu-Feng, additional

Published
2018
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105. Small effect size leads to reproducibility failure in resting-state fMRI studies

Author

Jia, Xi-Ze, primary, Zhao, Na, additional, Barton, Barek, additional, Burciu, Roxana, additional, Carrière, Nicolas, additional, Cerasa, Antonio, additional, Chen, Bo-Yu, additional, Chen, Jun, additional, Coombes, Stephen, additional, Defebvre, Luc, additional, Delmaire, Christine, additional, Dujardin, Kathy, additional, Esposito, Fabrizio, additional, Fan, Guo-Guang, additional, Federica, Di Nardo, additional, Feng, Yi-Xuan, additional, Fling, Brett W., additional, Garg, Saurabh, additional, Gilat, Moran, additional, Gorges, Martin, additional, Ho, Shu-Leong, additional, Horak, Fay B., additional, Hu, Xiao, additional, Hu, Xiao-Fei, additional, Huang, Biao, additional, Huang, Pei-Yu, additional, Jia, Ze-Juan, additional, Jones, Christy, additional, Kassubek, Jan, additional, Krajcovicova, Lenka, additional, Kurani, Ajay, additional, Li, Jing, additional, Li, Qian, additional, Liu, Ai-Ping, additional, Liu, Bo, additional, Liu, Hu, additional, Liu, Wei-Guo, additional, Lopes, Renaud, additional, Lou, Yu-Ting, additional, Luo, Wei, additional, Madhyastha, Tara, additional, Mao, Ni-Ni, additional, McAlonan, Grainne, additional, McKeown, Martin J., additional, Pang, Shirley YY, additional, Quattrone, Aldo, additional, Rektorova, Irena, additional, Sarica, Alessia, additional, Shang, Hui-Fang, additional, Shine, James, additional, Shukla, Priyank, additional, Slavicek, Tomas, additional, Song, Xiao-Peng, additional, Tedeschi, Gioacchino, additional, Tessitore, Alessandro, additional, Vaillancourt, David, additional, Wang, Jian, additional, Wang, Jue, additional, Wang, Z. Jane, additional, Wei, Lu-Qing, additional, Wu, Xia, additional, Xu, Xiao-Jun, additional, Yan, Lei, additional, Yang, Jing, additional, Yang, Wan-Qun, additional, Yao, Nai-Lin, additional, Zhang, De-Long, additional, Zhang, Jiu-Quan, additional, Zhang, Min-Ming, additional, Zhang, Yan-Ling, additional, Zhou, Cai-Hong, additional, Yan, Chao-Gan, additional, Zuo, Xi-Nian, additional, Hallett, Mark, additional, Wu, Tao, additional, and Zang, Yu-Feng, additional

Published
2018
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108. Altered Developmental Trajectories in Intrinsic Function between Default, Salience, and Executive Networks in High-Functioning Autism

Author

Yang, Liu, primary, Chen, Xiao, additional, Li, Xue, additional, Shen, Yang-Qian, additional, Wang, Hui, additional, Liu, Jing-Ran, additional, Mei, Ting, additional, Ji, Zhao-Zheng, additional, Guo, Yan-Qing, additional, Wang, Fei-Fei, additional, Xu, Ling-Zi, additional, Tang, Xin-Zhou, additional, Ma, Zeng-Hui, additional, Wang, Li-Qi, additional, Liu, Jing, additional, Cao, Qing-Jiu, additional, and Yan, Chao-Gan, additional

Published
2018
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109. Twenty-Five Cohorts of Major Depressive Disorder in China: Evidence for Reduced But Not Enhanced Default Mode Network Functional Connectivity

Author

Yan, Chao-Gan, primary, Chen, Xiao, additional, Li, Le, additional, Castellanos, Francisco Xavier, additional, Bai, Tong-Jian, additional, Bo, Qi-Jing, additional, Chen, Guan-Mao, additional, Chen, Ning-Xuan, additional, Chen, Wei, additional, Cheng, Chang, additional, Cheng, Yu-Qi, additional, Cui, Xi-Long, additional, Duan, Jia, additional, Fang, Yi-Ru, additional, Gong, Qi-Yong, additional, Guo, Wen-Bin, additional, Hou, Zheng-Hua, additional, Hu, Lan, additional, Kuang, Li, additional, Li, Feng, additional, Li, Kai-Ming, additional, Li, Tao, additional, Liu, Yan-Song, additional, Liu, Zhe-Ning, additional, Long, Yi-Cheng, additional, Luo, Qing-Hua, additional, Meng, Hua-Qing, additional, Peng, Dai-Hui, additional, Qiu, Hai-Tang, additional, Qiu, Jiang, additional, Shen, Yue-Di, additional, Shi, Yu-Shu, additional, Si, Tian-Mei, additional, Wang, Chuan-Yue, additional, Wang, Fei, additional, Wang, Kai, additional, Wang, Li, additional, Wang, Xiang, additional, Wang, Ying, additional, Wu, Xiao-Ping, additional, Wu, Xin-Ran, additional, Xie, Guang-Rong, additional, Xie, Hai-Yan, additional, Xie, Peng, additional, Xu, Xiu-Feng, additional, Yang, Hong, additional, Yang, Jian, additional, Yao, Jia-Shu, additional, Yao, Shu-Qiao, additional, Yin, Ying-Ying, additional, Yuan, Yong-Gui, additional, Zhang, Ai-Xia, additional, Zhang, Hong, additional, Zhang, Ke-Rang, additional, Zhang, Lei, additional, Zhang, Zhi-Jun, additional, Zhou, Ru-Bai, additional, Zhou, Yi-Ting, additional, Zhu, Jun-Juan, additional, Zou, Chao-Jie, additional, Zuo, Xi-Nian, additional, Zhao, Jing-Ping, additional, and Zang, Yu-Feng, additional

Published
2018
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111. Spatiotemporal structure of intracranial electric fields induced by transcranial electric stimulation in humans and nonhuman primates

Author

Opitz, Alexander, Falchier, Arnaud, Yan, Chao-Gan, Yeagle, Erin M., Linn, Gary S., Megevand, Pierre, Thielscher, Axel, Ross, Deborah A., Milham, Michael P., Mehta, Ashesh D., Schroeder, Charles E., Opitz, Alexander, Falchier, Arnaud, Yan, Chao-Gan, Yeagle, Erin M., Linn, Gary S., Megevand, Pierre, Thielscher, Axel, Ross, Deborah A., Milham, Michael P., Mehta, Ashesh D., and Schroeder, Charles E.

Abstract

Transcranial electric stimulation (TES) is an emerging technique, developed to non-invasively modulate brain function. However, the spatiotemporal distribution of the intracranial electric fields induced by TES remains poorly understood. In particular, it is unclear how much current actually reaches the brain, and how it distributes across the brain. Lack of this basic information precludes a firm mechanistic understanding of TES effects. In this study we directly measure the spatial and temporal characteristics of the electric field generated by TES using stereotactic EEG (s-EEG) electrode arrays implanted in cebus monkeys and surgical epilepsy patients. We found a small frequency dependent decrease (10%) in magnitudes of TES induced potentials and negligible phase shifts over space. Electric field strengths were strongest in superficial brain regions with maximum values of about 0.5 mV/mm. Our results provide crucial information of the underlying biophysics in TES applications in humans and the optimization and design of TES stimulation protocols. In addition, our findings have broad implications concerning electric field propagation in non-invasive recording techniques such as EEG/MEG.

Published
2016

113. Spatiotemporal structure of intracranial electric fields induced by transcranial electric stimulation in humans and nonhuman primates

Author

Opitz, Alexander, primary, Falchier, Arnaud, additional, Yan, Chao-Gan, additional, Yeagle, Erin M., additional, Linn, Gary S., additional, Megevand, Pierre, additional, Thielscher, Axel, additional, Deborah A., Ross, additional, Milham, Michael P., additional, Mehta, Ashesh D., additional, and Schroeder, Charles E., additional

Published
2016
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115. Decreased functional connectivity between ventral tegmental area and nucleus accumbens in Internet gaming disorder: evidence from resting state functional magnetic resonance imaging

Author

Zhang, Jin-Tao, primary, Ma, Shan-Shan, additional, Yip, Sarah W., additional, Wang, Ling-Jiao, additional, Chen, Chao, additional, Yan, Chao-Gan, additional, Liu, Lu, additional, Liu, Ben, additional, Deng, Lin-Yuan, additional, Liu, Qin-Xue, additional, and Fang, Xiao-Yi, additional

Published
2015
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120. DPARSF: A MATLAB Toolbox for 'Pipeline' Data Analysis of Resting-State fMRI

Author

Zang Yu-Feng and Yan Chao-Gan

Subjects
Normalization (statistics), SPM, Computer science, Cognitive Neuroscience, data analysis, Neuroscience (miscellaneous), computer.software_genre, Statistical parametric mapping, lcsh:RC321-571, Cellular and Molecular Neuroscience, DICOM, Developmental Neuroscience, medicine, Methods Article, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Data processing, medicine.diagnostic_test, Resting state fMRI, business.industry, REST, Amplitude of low frequency fluctuations, Pattern recognition, Toolbox, Data mining, Artificial intelligence, Functional magnetic resonance imaging, business, computer, resting-state fMRI, Neuroscience, DPARSF
Abstract

Resting-state functional magnetic resonance imaging (fMRI) has attracted more and more attention because of its effectiveness, simplicity and non-invasiveness in exploration of the intrinsic functional architecture of the human brain. However, user-friendly toolbox for “pipeline” data analysis of resting-state fMRI is still lacking. Based on some functions in Statistical Parametric Mapping (SPM) and Resting-State fMRI Data Analysis Toolkit (REST), we have developed a MATLAB toolbox called Data Processing Assistant for Resting-State fMRI (DPARSF) for “pipeline” data analysis of resting-state fMRI. After the user arranges the Digital Imaging and Communications in Medicine (DICOM) files and click a few buttons to set parameters, DPARSF will then give all the preprocessed (slice timing, realign, normalize, smooth) data and results for functional connectivity, regional homogeneity, amplitude of low-frequency fluctuation (ALFF), and fractional ALFF. DPARSF can also create a report for excluding subjects with excessive head motion and generate a set of pictures for easily checking the effect of normalization. In addition, users can also use DPARSF to extract time courses from regions of interest.

Published
2010

123. Imaging human connectomes at the macroscale

Author

Craddock, R Cameron, primary, Jbabdi, Saad, additional, Yan, Chao-Gan, additional, Vogelstein, Joshua T, additional, Castellanos, F Xavier, additional, Di Martino, Adriana, additional, Kelly, Clare, additional, Heberlein, Keith, additional, Colcombe, Stan, additional, and Milham, Michael P, additional

Published
2013
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130. Moving beyond processing- and analysis-related variation in resting-state functional brain imaging.

Author

Li X, Bianchini Esper N, Ai L, Giavasis S, Jin H, Feczko E, Xu T, Clucas J, Franco A, Sólon Heinsfeld A, Adebimpe A, Vogelstein JT, Yan CG, Esteban O, Poldrack RA, Craddock C, Fair D, Satterthwaite T, Kiar G, and Milham MP

Abstract

When fields lack consensus standard methods and accessible ground truths, reproducibility can be more of an ideal than a reality. Such has been the case for functional neuroimaging, where there exists a sprawling space of tools and processing pipelines. We provide a critical evaluation of the impact of differences across five independently developed minimal preprocessing pipelines for functional magnetic resonance imaging. We show that, even when handling identical data, interpipeline agreement was only moderate, critically shedding light on a factor that limits cross-study reproducibility. We show that low interpipeline agreement can go unrecognized until the reliability of the underlying data is high, which is increasingly the case as the field progresses. Crucially we show that, when interpipeline agreement is compromised, so too is the consistency of insights from brain-wide association studies. We highlight the importance of comparing analytic configurations, because both widely discussed and commonly overlooked decisions can lead to marked variation., (© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)

Published
2024
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131. Early-treatment cerebral blood flow change as a predictive biomarker of antidepressant treatment response: evidence from the EMBARC clinical trial.

Author

Dang Y, Lu B, Vanderwal T, Castellanos FX, and Yan CG

Abstract

Background: Major depressive disorder (MDD) is one of the most prevalent and disabling illnesses worldwide. Treatment of MDD typically relies on trial-and-error to find an effective approach. Identifying early response-related biomarkers that predict response to antidepressants would help clinicians to decide, as early as possible, whether a particular treatment might be suitable for a given patient., Methods: Data were from the two-stage Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care (EMBARC) trial. A whole-brain, voxel-wise, mixed-effects model was applied to identify early-treatment cerebral blood flow (CBF) changes as biomarkers of treatment response. We examined changes in CBF measured with arterial spin labeling 1-week after initiating double-masked sertraline/placebo. We tested whether these early 1-week scans could be used to predict response observed after 8-weeks of treatment., Results: Response to 8-week placebo treatment was associated with increased cerebral perfusion in temporal cortex and reduced cerebral perfusion in postcentral region captured at 1-week of treatment. Additionally, CBF response in these brain regions was significantly correlated with improvement in Hamilton Depression Rating Scale score in the placebo group. No significant associations were found for selective serotonin reuptake inhibitor treatment., Conclusions: We conclude that early CBF responses to placebo administration in multiple brain regions represent candidate neural biomarkers of longer-term antidepressant effects.

Published
2024
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132. The DIRECT consortium and the REST-meta-MDD project: towards neuroimaging biomarkers of major depressive disorder.

Author

Chen X, Lu B, Li HX, Li XY, Wang YW, Castellanos FX, Cao LP, Chen NX, Chen W, Cheng YQ, Cui SX, Deng ZY, Fang YR, Gong QY, Guo WB, Hu ZJ, Kuang L, Li BJ, Li L, Li T, Lian T, Liao YF, Liu YS, Liu ZN, Lu JP, Luo QH, Meng HQ, Peng DH, Qiu J, Shen YD, Si TM, Tang YQ, Wang CY, Wang F, Wang HN, Wang K, Wang X, Wang Y, Wang ZH, Wu XP, Xie CM, Xie GR, Xie P, Xu XF, Yang H, Yang J, Yao SQ, Yu YQ, Yuan YG, Zhang KR, Zhang W, Zhang ZJ, Zhu JJ, Zuo XN, Zhao JP, Zang YF, and Yan CG

Abstract

Despite a growing neuroimaging literature on the pathophysiology of major depressive disorder (MDD), reproducible findings are lacking, probably reflecting mostly small sample sizes and heterogeneity in analytic approaches. To address these issues, the Depression Imaging REsearch ConsorTium (DIRECT) was launched. The REST-meta-MDD project, pooling 2428 functional brain images processed with a standardized pipeline across all participating sites, has been the first effort from DIRECT. In this review, we present an overview of the motivations, rationale, and principal findings of the studies so far from the REST-meta-MDD project. Findings from the first round of analyses of the pooled repository have included alterations in functional connectivity within the default mode network, in whole-brain topological properties, in dynamic features, and in functional lateralization. These well-powered exploratory observations have also provided the basis for future longitudinal hypothesis-driven research. Following these fruitful explorations, DIRECT has proceeded to its second stage of data sharing that seeks to examine ethnicity in brain alterations in MDD by extending the exclusive Chinese original sample to other ethnic groups through international collaborations. A state-of-the-art, surface-based preprocessing pipeline has also been introduced to improve sensitivity. Functional images from patients with bipolar disorder and schizophrenia will be included to identify shared and unique abnormalities across diagnosis boundaries. In addition, large-scale longitudinal studies targeting brain network alterations following antidepressant treatment, aggregation of diffusion tensor images, and the development of functional magnetic resonance imaging-guided neuromodulation approaches are underway. Through these endeavours, we hope to accelerate the translation of functional neuroimaging findings to clinical use, such as evaluating longitudinal effects of antidepressant medications and developing individualized neuromodulation targets, while building an open repository for the scientific community., Competing Interests: One of the authors, Dr Qi-Yong Gong, is also the editor-in-chief of Psychoradiology. He was blinded from reviewing or making decisions on the manuscript., (© The Author(s) 2022. Published by Oxford University Press on behalf of West China School of Medicine/West China Hospital (WCSM/WCH) of Sichuan University.)

Published
2022
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