Guo-Rong WU

  1. Education and Work Experience
  2. Funding
  3. Publications
    1. First/Last/Corresponding Author
    2. Co-author
    3. More information:
  4. Softwares

ORCID ID: 0000-0003-4918-3955

Education and Work Experience

2022.07-current, Professor, Faculty of Psychology, Southwest University(SWU), Chongqing, China.
2021.09-2024.08，Department of Head and Skin, Ghent University, Visiting professor.
2017.07-2022.06, Associate professor, SWU.
2014.03-2017.06, Lecturer, SWU.
2015.06-2015.11, Assistant, Department of Psychiatry and Medical Psychology, Ghent University, Belgium.

2011.12-2015.11, PhD in Statistical Data Analysis, Faculty of Psychological and Pedagogical Sciences, Department of Data Analysis, Ghent University.
2010.09-2013.12, PhD in Biomedical Engineering, University of Electronic Science and Technology of China (UESTC).
2008.09-2010.06, MSc in Applied Mathematics, UESTC
2004.09-2008.06, BSc in Mathematics and Applied Mathematics, Fujian Normal University.

Funding

National Natural Science Foundation of China (NSFC, Grant No. 62271415) 2023-2026, High-resolution computational model based mechanism of personalized rTMS on treatment-resistant depression.

NSFC (Grant No. 61876156) 2019~2022, Investigation of Non-invasive Brain Stimulation on Alcohol Use Disorders and Its Causal Inference.

NSFC (Grant No. 61403312) 2015~2017, Directed dynamical connectivity from spatio-temporal point process in resting state fMRI.

Publications

First/Last/Corresponding Author

(* Corresponding Author, #Contributed equally to this work)

  1. Guorong Wu, Xujun Duan, Wei Liao, Qing Gao, and Huafu Chen*. “Kernel canonical-correlation Granger causality for multiple time series.” Phys Rev E, 2011, 83: 041921. DOI: 10.1103/PhysRevE.83.041921
  2. Guo-Rong Wu, Fuyong Chen, Dezhi Kang, Daniele Marinazzo, Huafu Chen. “Multi-scale causal connectivity analysis by canonical correlation: theory and application to epileptic brain.” IEEE Trans Biomed Eng 2011, 58(11): 3088 - 3096. DOI: 10.1109/TBME.2011.2162669
  3. Guo-Rong Wu, Wei Liao, Sebastiano Stramaglia, Ju-Rong Ding, Huafu Chen, Daniele Marinazzo*. “A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data.” Medical Image Analysis 2013, 17(3):365-374. DOI: 10.1016/j.media.2013.01.003
  4. Guo-Rong Wu, Wei Liao, Sebastiano Stramaglia, Huafu Chen, Daniele Marinazzo *. “Recovering directed networks in neuroimaging datasets using partially conditioned Granger causality.” Brain Connectivity, 2013, 3(3): 294-301. DOI: 10.1089/brain.2013.0142
  5. Guo-Rong Wu, Sebastiano Stramaglia, Huafu Chen, Wei Liao , Daniele Marinazzo . “Mapping the voxel-wise effective connectome in resting state fMRI.” PLoS ONE, 2013, 8(9): e73670. DOI: 10.1371/journal.pone.0073670
  6. Wei Liao#, Guo-Rong Wu#*, Qiang Xu#, Gong-Jun Ji, Zhiqiang Zhang, Yu-Feng Zang, Guangming Lu. “DynamicBC: A MATLAB Toolbox for Dynamic Brain Connectome Analysis.” Brain Connectivity, 2014, 4(10):780-90. DOI: 10.1089/brain.2014.0253.
  7. Guo-Rong Wu, Daniele Marinazzo*. “Point-process deconvolution of fMRI BOLD signal reveals effective connectivity alterations in chronic pain patients.” Brain Topography, 2014, 28(4): 541-547. DOI: 10.1007/s10548-014-0404-4
  8. Guo-Rong Wu, Daniele Marinazzo. “Retrieving the Hemodynamic Response Function in resting state fMRI: methodology and applications.” PeerJ PrePrints, 2015. DOI: 10.7287/peerj.preprints.1317v1
    Guo-Rong Wu, Gopikhrishna Deshpande, Steven Laureys, Daniele Marinazzo.
    “Retrieving the Hemodynamic Response Function in resting state fMRI: Methodology and application.” Annu Int Conf IEEE Eng Med Biol Soc, 2015:6050-3. DOI: 10.1109/EMBC.2015.7319771
  9. Guo-Rong Wu*, Daniele Marinazzo. “Sensitivity of the resting state haemodynamic response function estimation to autonomic nervous system fluctuations.” Philosophical Transactions of the Royal Society A, 2016, 374: 20150190. DOI: 10.1098/rsta.2015.0190
    Preprint version: “Hemodynamic response function in resting brain: disambiguating neural events and autonomic effects.” bioRxiv, 2015. DOI: 10.1101/028514
  10. Guo-Rong Wu, Chris Baeken*. “Longer depressive episode duration negatively influences HF-rTMS treatment response: a cerebellar metabolic deficiency?” Brain Imaging and Behavior, 2017, 11(1), 8-16. DOI: 10.1007/s11682-016-9510-0
  11. Chris Baeken, Jonathan Remue, Marie-Anne Vanderhasselt, Andre R Brunoni, Sara De Witte, Romain Duprat, Ernst HW Koster, Rudi De Raedt, Guo-Rong Wu. “Increased left prefrontal brain perfusion after MRI compatible tDCS attenuates momentary ruminative self-referential thoughts.” Brain Stimulation, 2017, 10(6), 1088-1095. DOI: 10.1016/j.brs.2017.09.005
  12. Luqing Wei, Hong Chen, Guo-Rong Wu*. “Heart rate variability associated with grey matter volumes in striatal and limbic structures of the central autonomic network.” Brain Research, 2018, 1681: 14-20. DOI: 10.1016/j.brainres.2017.12.024
  13. Luqing Wei, Hong Chen, Guo-Rong Wu*. “Structural Covariance of the Prefrontal-Amygdala Pathways Associated with Heart Rate Variability.” Frontiers in Human Neuroscience, 2018, 12:2. DOI: 10.3389/fnhum.2018.00002
  14. Guo-Rong Wu, Chris Baeken, Peter Van Schuerbeek, Johan De Mey, Minghua Bi, Sarah C. Herremans*. “Accelerated repetitive transcranial magnetic stimulation does not influence grey matter volumes in regions related to alcohol relapse: an open-label exploratory study.” Drug and Alcohol Dependence, 2018(191), 210-214. DOI: 10.1016/j.drugalcdep.2018.07.004
  15. Luqing Wei#, Nana Guo#, Chris Baeken, Minghua Bi, Xiaowan Wang, Jiang Qiu, Guo-Rong Wu*. Grey matter volumes in the executive attention system predict individual differences in effortful control in young adults. Brain Topography, 2019, 32(1), 111-117. DOI: 10.1007/s10548-018-0676-1
  16. Xiaowan Wang, Chris Baeken, Mengxia Fang, Jiang Qiu, Hong Chen, Guo-Rong Wu*. Predicting trait-like individual differences in fear of pain in the healthy state using gray matter volume. Brain Imaging and Behavior, 2019, 13, 1468-1473. DOI: 10.1007/s11682-018-9960-7
  17. Guo-Rong Wu, Rudi De Raedt, Peter Van Schuerbeek, Chris Baeken. “Opposite subgenual Cingulate Cortical functional connectivity and metabolic activity patterns in refractory melancholic Major Depression.” Brain Imaging and Behavior, 2020, 14, 426-435. DOI:10.1007/s11682-018-0011-1
  18. Guo-Rong Wu, Carol Di Perri, Vanessa Charland-Verville, Charlotte Martial, Manon Carriere, Audrey Vanhaudenhuyse, Steven Laureys, Daniele Marinazzo. “Modulation of the spontaneous hemodynamic response function across levels of consciousness.” Neuroimage, 2019(200), 450-459. DOI:10.1016/j.neuroimage.2019.07.011(Code)
  19. Guo-Rong Wu*#, Xiaowan Wang#,Chris Baeken. “Baseline functional connectivity may predict placebo responses to accelerated rTMS treatment in major depression.” Human Brain Mapping, 2020, 41(3), 632-639. DOI: 10.1002/hbm.24828
  20. Luqing Wei, Guo-Rong Wu*. “Structural Covariance of the Salience Network Associated with Heart Rate Variability”, Brain Imaging and Behavior, 2021, 15, 896–905. DOI: 10.1007/s11682-020-00298-3
  21. Chris Baeken#, GuoRong Wu*#, and Harold A. Sackeim. “Accelerated iTBS treatment applied to the left DLPFC in depressed patients results in a rapid volume increase in the left hippocampal dentate gyrus, not driven by brain perfusion.” Brain Stimulation, 2020, 13, 1211-1217.DOI: 10.1016/j.brs.2020.05.015
  22. Luqing Wei#, Guo-Rong Wu*#, Minghua Bi, Chris Baeken. “Effective Connectivity Predicts Cognitive Empathy in Cocaine Addiction: A Spectral Dynamic Causal Modeling Study”, Brain Imaging and Behavior, 2021, 15, 1553–1561. DOI: 10.1007/s11682-020-00354-y
  23. Anja Flamez#, Guo-Rong Wu#*, Wietse Wiels, Peter Van Schuerbeek, Johan De Mey, Jacques De Keyser and Chris Baeken. “Opposite effects of one session of 1 Hz rTMS on functional connectivity depending on the dyskinesia state in Parkinson’s disease.” Clinical Neurophysiology, 2021, 132(4), 851-856. DOI: 10.1016/j.clinph.2020.12.024
  24. Guo-Rong Wu*#, Chris Baeken. “Brainstem glucose metabolism predicts Reward Dependence scores in treatment resistant major depression.” Psychological Medicine, 2022, 52(14),3260-3266. DOI:10.1017/S0033291720005425
  25. Chris Baeken#, Guo-Rong Wu*#, Roland Rogiers, Jonathan Remue, Gilbert Md Lemmens, Rudi De Raedt. “Cognitive Behavioral based Group Psychotherapy focusing on Repetitive Negative Thinking: decreased uncontrollability of rumination is related to brain perfusion increases in the left dorsolateral prefrontal cortex.” Journal of Psychiatric Research, 2021, 136, 281-287. DOI: 10.1016/j.jpsychires.2021.02.011
  26. Chris Baeken, Yanfeng Xu, Guo-Rong Wu*, Robrecht Dockx, Kathelijne Peremans, Rudi De Raedt. “Hostility in medication resistant Major Depression and comorbid Generalized Anxiety Disorder is related to increased hippocampal-amygdala 5-HT2A receptor density.” European Archives of Psychiatry and Clinical Neuroscience, 2021, 271, 1369–1378. DOI:10.1007/s00406-021-01243-1
  27. Sam Luc Bart Bonduelle, Qinyuan Chen, Guo-Rong Wu*, Caroline Braet, Rudi De Raedt, Chris Baeken. “Exposure to criticism modulates left but not right amygdala functional connectivity in healthy adolescents: individual influences of perceived and self-criticism.” Front. Psychiatry, 2021,673805. DOI: 10.3389/fpsyt.2021.673805
  28. Guo-Rong Wu*#, Nigel Colenbier#, Sofie Van Den Bossche, Kenzo Clauw, Amogh Johri, Madhur Tandon, Daniele Marinazzo. “rsHRF: A Toolbox for Resting-State HRF Estimation and Deconvolution.” Neuroimage, 2021, 244, 118591. DOI:10.1016/j.neuroimage.2021.118591
  29. Luqing Wei, Chris Baeken, Daihong Liu, Jiuquan Zhang, Guo-Rong Wu*. “Functional connectivity-based prediction of global cognition and motor function in riluzole-naive amyotrophic lateral sclerosis patients.” Network Neuroscience. 2022, 6(1): 161–174. DOI:10.1162/netn_a_00217.
  30. Guo-Rong Wu*, Chris Baeken. “Individual interregional perfusion between the left dorsolateral prefrontal cortex stimulation targets and the subgenual anterior cortex predicts response and remission to aiTBS treatment in medication-resistant depression: The influence of behavioral inhibition.” Brain Stimulation, 2022, 15(1), 182-189. DOI:10.1016/j.brs.2021.12.003
  31. Luqing Wei#, Tingting Weng#, Hui Dong#, Chris Baeken, Ting Jiang, Guo-Rong Wu*. “The cortico-basal-cerebellar neurocircuit is linked to personality trait of novelty seeking.” Neuroscience, 2022, 488, 96-101. DOI:10.1016/j.neuroscience.2022.02.027
  32. Guo-Rong Wu*, Romain Duprat,Chris Baeken. “Accelerated iTBS changes perfusion patterns in medication resistant depression.” Journal of Affective Disorders, 2022, 306, 276-280. DOI:10.1016/j.jad.2022.03.036.
  33. Guanzhong Yao#, Luqing Wei#, Ting Jiang#, Hui Dong, Chris Baeken, Guo-Rong Wu*. ”Neural mechanisms underlying empathy during alcohol abstinence: evidence from connectome-based predictive modeling.“ Brain Imaging and Behavior, 2022, 16(6), 2477–2486 DOI:10.1007/s11682-022-00702-0.
  34. Guo-Rong Wu*, Chris Baeken. “Lateralized Subgenual ACC metabolic connectivity patterns in refractory melancholic depression: does it matter?“ Cerebral Cortex, 2023, 33(7), 3490–3497.DOI:10.1093/cercor/bhac286.
  35. Guo-Rong Wu*, Chris Baeken. “The left ventrolateral prefrontal cortex as a more optimal target for accelerated rTMS treatment protocols for depression?” Brain Stimulation, 2023, 16(2), 642-644.DOI:10.1016/j.brs.2023.03.009.
  36. Guo-Rong Wu*, Chris Baeken. “Precision targeting in prediction for rTMS clinical outcome in depression: what about sgACC lateralization, metabolic connectivity and the potential role of the cerebellum?” European Archives of Psychiatry and Clinical Neuroscience. 2023, 273, 1443-1450. DOI:10.1007/s00406-023-01637-3.
  37. Luqing Wei#, Fanxi Ding#, Mingliang Gong, Chris Baeken, Guo-Rong Wu*. “The impact of sensation seeking personality trait on acute alcohol-induced disinhibition.” Drug and Alcohol Dependence, 2023, 250, 110907. DOI:10.1016/j.drugalcdep.2023.110907.
  38. Guo-Rong Wu*, Chris Baeken. “Normative modelling analysis reveals Corpus Callosum volume changes in early and mid-to-late first episode major depression.” Journal of Affective Disorders, 2023, 340, 10-16.DOI:10.1016/j.jad.2023.07.110
  39. Zhixin Wang, Chris Baeken, Guo-Rong Wu*. “Metabolic Covariance Connectivity of Posterior Cingulate Cortex Associated with Depression Symptomatology Level in Healthy Young Adults.” Metabolites, 2023, 13, 920. DOI:10.3390/metabo13080920
  40. Guo-Rong Wu*, Chris Baeken. “Sex determines anterior cingulate cortical thickness in the course of depression.” Biological Psychiatry: Global Open Science, 2023, DOI: j.bpsgos.2023.08.003.

Co-author

2021

  1. Jiao Li, Guo-Rong Wu, Bing Li, Feiyang Fan, Xiaopeng Zhao, Yao Meng, Peng Zhong, Siqi Yang, Bharat B Biswal, Huafu Chen, Wei Liao. “Transcriptomic and macroscopic architectures of intersubject functional variability in human brain white-matter.” Communications Biology, 2021, 4(1):1417. DOI:10.1038/s42003-021-02952-y
  2. Ling Bai, Gong‐Jun JI, Yongxia Song, Jinmei Sun, Junjie Wei, Fang Xue, Lu Zhu, Rui Li, Yanfang Han, Liu Zhang, Jinying Yang, Bensheng Qiu, Guo-Rong Wu, Jing Zhang, Jingfang Hong, Kai Wang, Chunyan Zhu. “Dynamic brain connectome and high risk of mental problem in clinical nurses.” Human brain mapping, 2021, 42(16):5300-5308. DOI:10.1002/hbm.25617

2019

  1. Chris Baeken, Guo-Rong Wu, and Kees van Heeringen. “Placebo aiTBS attenuates suicidal ideation and frontopolar cortical perfusion in major depression.” Translational Psychiatry, 2019, 9(1):38
  2. Wei Liao, Jiao Li, Gong-Jun Ji, Guo-Rong Wu, Zhiliang Long, Qiang Xu, Xujun Duan, Qian Cui, Bharat B. Biswal, and Huafu Chen. “Endless Fluctuations: Temporal Dynamics of the Amplitude of Low Frequency Fluctuations.” IEEE Transactions on Medical Imaging, 2019, 38(11), 2523-2532.
  3. Josefien Dedoncker, Marie-Anne Vanderhasselt, Jonathan Remue, Sara De Witte, Guo-Rong Wu, Jill M. Hooley, Rudi De Raedt, Chris Baeken. Prefrontal TDCS attenuates medial prefrontal connectivity upon being criticized in individuals scoring high on perceived criticism. Brain Imaging and Behavior, 2019, 13(4), 1060-1070.

2018

  1. D Rangaprakash, Guo-Rong Wu, D Marinazzo, X Hu, G Deshpande. “Hemodynamic response function (HRF) variability confounds resting-state fMRI functional connectivity.” Magnetic resonance in medicine, 2018(80), 1697-1713
  2. D Rangaprakash, Guo-Rong Wu, D Marinazzo, X Hu, G Deshpande. “Parametrized Hemodynamic Response Function Data of Healthy Individuals Obtained from Resting-State Functional MRI in a 7T MRI Scanner.” Data in Brief, 2018(17), 1175-1179
  3. Gao X, Liang Q, Guo-Rong Wu, She Y, Sui N, Chen H. “Decreased resting-state BOLD regional homogeneity and the intrinsic functional connectivity within dorsal striatum is associated with greater impulsivity in food-related decision-making and BMI change at 6-month follow up.” Appetite, 2018(127): 69-78
  4. Chris Baeken, Josefien Dedoncker, Jonathan Remue, Guo-Rong Wu, Marie-Anne Vanderhasselt, Sara De Witte, Tasha Poppa, Jill M. Hooley, Rudi De Raedt. “One MRI-compatible tDCS session attenuates ventromedial cortical perfusion when exposed to verbal criticism: the role of perceived criticism.” Human Brain Mapping, 2018, 39(11):4462-4470
  5. J Koenig, …, Guo-Rong Wu, H Yoo, D Quintana. “Cortical Thickness and Resting State Cardiac Function Across the Lifespan: A Cross-Sectional Pooled Mega Analysis. Psychophysiology. 2021, 58(7):e13688
  6. Baeken C, Duprat R, Guo-Rong Wu, De Raedt R. Accelerated Intermittent Theta Burst Stimulation Rapidly Attenuates Depressive Symptoms and Suicide Ideation in Major Depression: Insights from Brain Perfusion and Functional Connectivity. “ Biological Psychiatry, 2018 (83): S54

2017

  1. Chris Baeken, Romain Duprat, Guo-Rong Wu, Rudi De Raedt and Kees van Heeringen, “Subgenual anterior cingulate-medial orbitofrontal functional connectivity in medication-resistant major depression: A neurobiological marker for accelerated intermittent Theta Burst Stimulation treatment?” Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. 2017,2(7), 556-565.
  2. Liu, W., Wei, D., Chen, Q., Yang, W., Meng, J., Guo-Rong Wu, Bi, T., Zhang, Q., Zuo, X., & Qiu, J. “Longitudinal test-retest neuroimaging data from healthy young adults in southwest China.” Scientific Data, 2017, 4, 170017.
  3. Romain Duprat, Guo-Rong Wu, Rudi De Raedt, Chris Baeken. “Accelerated iTBS treatment in depressed patients differentially modulates reward system activity based on anhedonia.” The World Journal of Biological Psychiatry, 2017.
  4. Fuxiang Chen#, Fuyong Chen#, Zhanfang Shang, Yuan Shui, Guorong Wu, Chen Liu, Zhangya Lin, Yuanxiang Lin, Lianghong Yu, Dezhi Kang, Wei Tao, Yongjie Li. “White matter microstructure degenerates in patients with postherpetic neuralgia. “ Neuroscience Letters, 2017, 656(24), 152-157
  5. Chris Baeken, Guo-Rong Wu, Rudi De Raedt. “Dorsomedial frontal cortical metabolic differences of comorbid generalized anxiety disorder in refractory major depression: A [18F] FDG PET brain imaging study.” Journal of Affective Disorders, 2017, 227, 550-553

2016

  1. WANG, K.#, Guo-Rong Wu#, HOU, X., WEI, D., LIU, H., & QIU, J. “From groupwise to individual brain functional networks parcellation and application”. Chinese Science Bulletin, 2016, 61(27), 3022-3035.
  2. Van, Heeringen K and Guo-Rong Wu and Vervaet, M and Vanderhasselt, M. A. and Baeken, C. “Decreased resting state metabolic activity in frontopolar and parietal brain regions is associated with suicide plans in depressed individuals.” Journal of Psychiatric Research, 2016, 84, 243-248.
  3. Romain Duprat, Rudi De Raedt, Guo-Rong Wu, and Chris Baeken. “Intermittent Theta Burst Stimulation Increases Reward Responsiveness in Individuals with Higher Hedonic Capacity. “ Front Hum Neurosci. 2016; 10: 294.
  4. Sebastiano Stramaglia, Leonardo Angelini, Guorong Wu, Jesus Cortes, Luca Faes and Daniele Marinazzo. “Synergetic and redundant information flow detected by unnormalized Granger causality: application to resting state fMRI. “ IEEE Transactions on Biomedical Engineering, 2016, 63(12), 2518-2524.

2015

  1. Baeken, C., Marinazzo, D., Everaert, H., Guo-Rong Wu, Hove, C. V., & Audenaert, K., et al. “The impact of accelerated HF-rTMS on the subgenual anterior cingulate cortex in refractory unipolar major depression: insights from 18FDG PET brain imaging.” Brain Stimulation, 2015, 8(2), 845-848.
  2. Zhang, J., Wei, L., Hu, X., Xie, B., Zhang, Y., & Guo-Rong Wu, et al. “Akinetic-rigid and tremor-dominant parkinson’s disease patients show different patterns of intrinsic brain activity.” Parkinsonism & Related Disorders, 2015, 21(1), 23-30.
  3. Li, M., Wang, J., Liu, F., Chen, H., Lu, F., & Guo-Rong Wu, et al. “Handedness- and brain size-related efficiency differences in small-world brain networks: a resting-state functional magnetic resonance imaging study.” Brain Connectivity, 2015, 5(4), 259-265.
  4. Kang, D. Z., Chen, F. Y., Wang, F. Y., Guo-Rong Wu, Liu, Y., Wu, G., Yu, L. Lin, Y. & Lin, Z. Y. “Brain gray matter volume changes associated with motor symptoms in patients with Parkinson’s disease.” Chinese Neurosurgical Journal, 2015, 1(1), 9.

2014

  1. Marinazzo, D., Guo-Rong Wu, Pellicoro, M., & Stramaglia, S. “Information transfer in the brain: insights from a unified approach.” Understanding Complex Systems, 2014, 7(1), 87-110.
  2. Baeken, C., Marinazzo, D., Guo-Rong Wu, Schuerbeek, P. V., Mey, J. D., & Marchetti, I., et al. “Accelerated HF-rTMS in treatment-resistant unipolar depression: insights from subgenual anterior cingulate functional connectivity.” World Journal of Biological Psychiatry, 2014,15(4), 286-297.
  3. Ding, J., An, D., Liao, W., Guo-Rong Wu, Xu, Q., & Zhou, D., et al. “Abnormal functional connectivity density in psychogenic non-epileptic seizures.” Epilepsy Research, 2014, 108(7), 1184-94.
  4. Marinazzo, D., Pellicoro, M., Guo-Rong Wu, Angelini, L., Cortés, J. M., & Stramaglia, S. “Information transfer and criticality in the ising model on the human connectome.” Plos One, 2014,9(4), 3-7.
  5. Baeken, C., Marinazzo, D., Van, S. P., Guo-Rong Wu, De, M. J., & Luypaert, R., et al. “Left and right amygdala - mediofrontal cortical functional connectivity is differentially modulated by harm avoidance.” Plos One, 2014, 9(4), e95740.
  6. Wei, L., Zhang, J., Long, Z., Guo-Rong Wu, Hu, X., Zhang, Y., & Wang, J. “Reduced topological efficiency in cortical-basal Ganglia motor network of Parkinson’s disease: a resting state fMRI study.” PloS one, 2014, 9(10), e108124.
  7. Baeken, C., Marinazzo, D., Claes, S., Guo-Rong Wu, Van Schuerbeek, P., De Mey, J., Luypaert, R. & De Raedt, R. “COMT Val158Met genotypes differentially influence subgenual cingulate functional connectivity in healthy females.” Frontiers in human neuroscience, 2014, 8, 481.

2013

  1. Ju-Rong Ding , Dongmei An , Wei Liao, Jinmei Li, Guo-Rong Wu, Qiang Xu, Zhiliang Long, Qiyong Gong, Dong Zhou , Olaf Sporns, Huafu Chen. “Altered Functional and Structural Connectivity Networks in Psychogenic Non-Epileptic Seizures. “ PloS one, 2013, 8(5), e63850.

2012

  1. Sebastiano Stramaglia, Guorong Wu, Mario Pellicoro and Daniele Marinazzo. “Expanding the transfer entropy to identify information circuits in complex systems.” PHYSICAL REVIEW E, 2012, 86(6), 066211.
  2. Daniele Marinazzo, Guorong Wu, Mario Pellicoro, L Angelini, Sebastiano Stramaglia. “Information Flow in Networks and the Law of Diminishing Marginal Returns: Evidence from Modeling and Human Electroencephalographic Recordings. “ PLoS ONE 2012, 7(9): e45026.

More information:

Google Scholar

Softwares

  1. Brain GPS
  2. DynamicBC
  3. rsHRF
  4. Rat fMRI

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