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For: Micheloyannis S. Graph-based network analysis in schizophrenia. World J Psychiatr 2012; 2(1): 1-12 [PMID: 24175163 DOI: 10.5498/wjp.v2.i1.1]
URL: https://www.wjgnet.com/2220-3206/full/v2/i1/1.htm
Number Citing Articles
1
Rutvi Prajapati, Isaac Arnold Emerson. Construction and analysis of brain networks from different neuroimaging techniquesInternational Journal of Neuroscience 2022; 132(8): 745 doi: 10.1080/00207454.2020.1837802
2
Yan Zhu, Geng Zhu, Bin Li, Yueqi Yang, Xiaohan Zheng, Qi Xu, Xiaoou Li. Abnormality of Functional Connections in the Resting State Brains of SchizophrenicsFrontiers in Human Neuroscience 2022; 16 doi: 10.3389/fnhum.2022.799881
3
Jiajia Zhu, Yinfeng Qian, Biao Zhang, Xiaohu Li, Ya Bai, Xiaoshu Li, Yongqiang Yu. Abnormal synchronization of functional and structural networks in schizophreniaBrain Imaging and Behavior 2020; 14(6): 2232 doi: 10.1007/s11682-019-00175-8
4
Felix Siebenhühner, Shennan A. Weiss, Richard Coppola, Daniel R. Weinberger, Danielle S. Bassett, Satoru Hayasaka. Intra- and Inter-Frequency Brain Network Structure in Health and SchizophreniaPLoS ONE 2013; 8(8): e72351 doi: 10.1371/journal.pone.0072351
5
K. D. Vigasina, E. A. Proshina, P. M. Gotovtsev, E. V. Sharova, V. A. Bordiug, E. L. Masherov, G. G. Knyazev. Approaches to the Use of Graph Theory to Study the Human EEG in Health and Cerebral PathologyNeuroscience and Behavioral Physiology 2023; 53(3): 381 doi: 10.1007/s11055-023-01437-1
6
S. I. Dimitriadis, N. A. Laskaris, S. Micheloyannis. Transition dynamics of EEG-based network microstates during mental arithmetic and resting wakefulness reflects task-related modulations and developmental changesCognitive Neurodynamics 2015; 9(4): 371 doi: 10.1007/s11571-015-9330-8
7
Tingting Zhang, Yinge Sun, Huazhang Li, Guofen Yan, Seiji Tanabe, Ruizhong Miao, Yaotian Wang, Brian S. Caffo, Mark S. Quigg. Bayesian inference of a directional brain network model for intracranial EEG dataComputational Statistics & Data Analysis 2020; 144: 106847 doi: 10.1016/j.csda.2019.106847
8
Ludovico Minati, Giulia Varotto, Ludovico D’Incerti, Ferruccio Panzica, Dennis Chan. From brain topography to brain topologyNeuroReport 2013; 24(10): 536 doi: 10.1097/WNR.0b013e3283621234
9
Mohammed K. Shakeel, Paul D. Metzak, Mike Lasby, Xiangyu Long, Roberto Souza, Signe Bray, Benjamin I. Goldstein, Glenda MacQueen, JianLi Wang, Sidney H. Kennedy, Jean Addington, Catherine Lebel. Brain connectomes in youth at risk for serious mental illness: a longitudinal perspectiveBrain Imaging and Behavior 2024;  doi: 10.1007/s11682-024-00953-z
10
Farzaneh Keyvanfard, Alireza Rahimi Nasab, Abbas Nasiraei-Moghaddam. Brain subnetworks most sensitive to alterations of functional connectivity in Schizophrenia: a data-driven approachFrontiers in Neuroinformatics 2023; 17 doi: 10.3389/fninf.2023.1175886
11
Ovidiu C. Banea, Lucas G. Bandeira dos Santos, Sara Marcu, Sigurjón B. Stefánnson, Eric M. Wassermann, Eysteinn Ívarsson, Viktor D. Jónasson, Romain Aubonnet, Aron D. Jónasson, Brynja B. Magnúsdóttir, Magnús Haraldsson, Paolo Gargiulo. Network signatures of rTMS treatment in patients with schizophrenia and auditory verbal hallucination during an auditory-motor task using HD-EEGSchizophrenia Research 2022; 243: 310 doi: 10.1016/j.schres.2021.06.002
12
Javier O. Garcia, Arian Ashourvan, Sarah Muldoon, Jean M. Vettel, Danielle S. Bassett. Applications of Community Detection Techniques to Brain Graphs: Algorithmic Considerations and Implications for Neural FunctionProceedings of the IEEE 2018; 106(5): 846 doi: 10.1109/JPROC.2017.2786710
13
Gayathri Sunil, Smruthi Gowtham, Anurita Bose, Samhitha Harish, Gowri Srinivasa. Graph neural network and machine learning analysis of functional neuroimaging for understanding schizophreniaBMC Neuroscience 2024; 25(1) doi: 10.1186/s12868-023-00841-0
14
Young Tak Jo, Sung Woo Joo, Seung‐Hyun Shon, Harin Kim, Yangsik Kim, Jungsun Lee. Diagnosing schizophrenia with network analysis and a machine learning methodInternational Journal of Methods in Psychiatric Research 2020; 29(1) doi: 10.1002/mpr.1818
15
Wenwen Gao, Guangfei Li, Xiaowei Han, Zeyu Song, Shuai Zhao, Feiyi Sun, Hong Ma, Ailing Cui, Yige Wang, Xiuxiu Liu, Yue Chen, Lu Zhang, Guolin Ma, Xiaoying Tang. Regional brain network and behavioral alterations in EGR3 gene transfected rat model of schizophreniaBrain Imaging and Behavior 2021; 15(5): 2606 doi: 10.1007/s11682-021-00462-3
16
Paweł Krukow, Kamil Jonak, Robert Karpiński, Hanna Karakuła-Juchnowicz. Abnormalities in hubs location and nodes centrality predict cognitive slowing and increased performance variability in first-episode schizophrenia patientsScientific Reports 2019; 9(1) doi: 10.1038/s41598-019-46111-0
17
Yuwen He, Shihao Wu, Cheng Chen, Lingzhong Fan, Kaixin Li, Gaohua Wang, Huiling Wang, Yuan Zhou. Organized Resting-state Functional Dysconnectivity of the Prefrontal Cortex in Patients with SchizophreniaNeuroscience 2020; 446: 14 doi: 10.1016/j.neuroscience.2020.08.021
18
Alba Lubeiro, Mar Fatjó-Vilas, Maria Guardiola, Carmen Almodóvar, Javier Gomez-Pilar, Benjamin Cea-Cañas, Jesús Poza, Aitor Palomino, Marta Gómez-García, Jone Zugasti, Vicente Molina. Analysis of KCNH2 and CACNA1C schizophrenia risk genes on EEG functional network modulation during an auditory odd-ball taskEuropean Archives of Psychiatry and Clinical Neuroscience 2020; 270(4): 433 doi: 10.1007/s00406-018-0977-0
19
Alberto Rodríguez-Lorenzana, Mabel Torres-Tapia, Cesar Parra, Álvaro Díez, Antonio Arjona, Javier Gomez-Pilar, Erika Pasquel, Diego Granizo, Vicente Molina. Analysis of the functional EEG network in an Ecuadorian schizophrenia sampleThe European Journal of Psychiatry 2021; 35(4): 216 doi: 10.1016/j.ejpsy.2021.06.004
20
Kalaichelvi Nallusamy, K. S. Easwarakumar. Classifying schizophrenic and controls from fMRI data using graph theoretic framework and community detectionNetwork Modeling Analysis in Health Informatics and Bioinformatics 2023; 12(1) doi: 10.1007/s13721-023-00415-4
21
Bin Qin, Longlun Wang, Yun Zhang, Jinhua Cai, Jie Chen, Tingyu Li. Enhanced Topological Network Efficiency in Preschool Autism Spectrum Disorder: A Diffusion Tensor Imaging StudyFrontiers in Psychiatry 2018; 9 doi: 10.3389/fpsyt.2018.00278
22
Jiajia Zhu, Chuanjun Zhuo, Feng Liu, Wen Qin, Lixue Xu, Chunshui Yu. Distinct disruptions of resting-state functional brain networks in familial and sporadic schizophreniaScientific Reports 2016; 6(1) doi: 10.1038/srep23577
23
Chenhao Wang, Jimmy Lee, New Fei Ho, Joseph K W Lim, Joann S Poh, Gurpreet Rekhi, Ranga Krishnan, Richard S E Keefe, R Alison Adcock, Stephen J Wood, Alex Fornito, Michael W L Chee, Juan Zhou. Large-Scale Network Topology Reveals Heterogeneity in Individuals With at Risk Mental State for Psychosis: Findings From the Longitudinal Youth-at-Risk StudyCerebral Cortex 2018; 28(12): 4234 doi: 10.1093/cercor/bhx278
24
Hao Hu, Yuchao Jiang, Mengqing Xia, Yingying Tang, Tianhong Zhang, Huiru Cui, Junjie Wang, Lihua Xu, Adrian Curtin, Jianhua Sheng, Xinyi Cao, Qian Guo, Yuping Jia, Chunbo Li, Zhen Wang, Cheng Luo, Jijun Wang. Functional reconfiguration of cerebellum-cerebral neural loop in schizophrenia following electroconvulsive therapyPsychiatry Research: Neuroimaging 2022; 320: 111441 doi: 10.1016/j.pscychresns.2022.111441
25
Sung Woo Joo, Young Tak Jo, Woohyeok Choi, Sun Min Kim, So Young Yoo, Soohyun Joe, Jungsun Lee. Topological abnormalities of the morphometric similarity network of the cerebral cortex in schizophreniaSchizophrenia 2024; 10(1) doi: 10.1038/s41537-024-00477-x
26
Seung-Hyun Shon, Woon Yoon, Harin Kim, Sung Woo Joo, Yangsik Kim, Jungsun Lee. Deterioration in Global Organization of Structural Brain Networks in Schizophrenia: A Diffusion MRI Tractography StudyFrontiers in Psychiatry 2018; 9 doi: 10.3389/fpsyt.2018.00272
27
Sanne C. T. Peeters, Ed H. B. M. Gronenschild, Therese van Amelsvoort, Jim van Os, Machteld Marcelis. Reduced specialized processing in psychotic disorder: a graph theoretical analysis of cerebral functional connectivityBrain and Behavior 2016; 6(9) doi: 10.1002/brb3.508
28
Sjoerd J H Ebisch, André Aleman. The fragmented self: imbalance between intrinsic and extrinsic self-networks in psychotic disordersThe Lancet Psychiatry 2016; 3(8): 784 doi: 10.1016/S2215-0366(16)00045-6
29
Kamil Jonak, Paweł Krukow, Katarzyna E. Jonak, Cezary Grochowski, Hanna Karakuła-Juchnowicz. Quantitative and Qualitative Comparison of EEG-Based Neural Network Organization in Two Schizophrenia Groups Differing in the Duration of Illness and Disease Burden: Graph Analysis With Application of the Minimum Spanning TreeClinical EEG and Neuroscience 2019; 50(4): 231 doi: 10.1177/1550059418807372
30
Qingbao Yu, Yuhui Du, Jiayu Chen, Jing Sui, Tulay Adali, Godfrey D. Pearlson, Vince D. Calhoun. Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain GraphsProceedings of the IEEE 2018; 106(5): 886 doi: 10.1109/JPROC.2018.2825200
31
Jonathan Rochus Reinwald, Robert Becker, Anne Stephanie Mallien, Claudia Falfan-Melgoza, Markus Sack, Christian Clemm von Hohenberg, Urs Braun, Alejandro Cosa Linan, Natalia Gass, Andrei-Nicolae Vasilescu, Fabian Tollens, Philipp Lebhardt, Natascha Pfeiffer, Dragos Inta, Andreas Meyer-Lindenberg, Peter Gass, Alexander Sartorius, Wolfgang Weber-Fahr. Neural Mechanisms of Early-Life Social Stress as a Developmental Risk Factor for Severe Psychiatric DisordersBiological Psychiatry 2018; 84(2): 116 doi: 10.1016/j.biopsych.2017.12.010
32
Pil-Jong Kim, Hyun-Tae Kim, Bernard Choi, Teo Jeon Shin. Graph approaches for analysis of brain connectivity during dexmedetomidine sedationNeuroscience Letters 2023; 797: 137060 doi: 10.1016/j.neulet.2023.137060
33
Tingting Zhang, Qiannan Yin, Brian Caffo, Yinge Sun, Dana Boatman-Reich. Bayesian inference of high-dimensional, cluster-structured ordinary differential equation models with applications to brain connectivity studiesThe Annals of Applied Statistics 2017; 11(2) doi: 10.1214/17-AOAS1021
34
Jiajia Zhu, Chunli Wang, Feng Liu, Wen Qin, Jie Li, Chuanjun Zhuo. Alterations of Functional and Structural Networks in Schizophrenia Patients with Auditory Verbal HallucinationsFrontiers in Human Neuroscience 2016; 10 doi: 10.3389/fnhum.2016.00114
35
Seung-Hwan Lee. Electroencephalography and SchizophreniaJournal of Korean Neuropsychiatric Association 2019; 58(2): 105 doi: 10.4306/jknpa.2019.58.2.105
36
Dandan Li, Wenjing Tang, Ting Yan, Nan Zhang, Jie Xiang, Yan Niu, Bin Wang. Abnormalities in hemispheric lateralization of intra- and inter-hemispheric white matter connections in schizophreniaBrain Imaging and Behavior 2021; 15(2): 819 doi: 10.1007/s11682-020-00292-9
37
Tingting Zhang, Jingwei Wu, Fan Li, Brian Caffo, Dana Boatman-Reich. A Dynamic Directional Model for Effective Brain Connectivity Using Electrocorticographic (ECoG) Time SeriesJournal of the American Statistical Association 2015; 110(509): 93 doi: 10.1080/01621459.2014.988213
38
Elzbieta Olejarczyk, Laura Marzetti, Vittorio Pizzella, Filippo Zappasodi. Comparison of connectivity analyses for resting state EEG dataJournal of Neural Engineering 2017; 14(3): 036017 doi: 10.1088/1741-2552/aa6401
39
Elzbieta Olejarczyk, Wojciech Jernajczyk, Dezhong Yao. Graph-based analysis of brain connectivity in schizophreniaPLOS ONE 2017; 12(11): e0188629 doi: 10.1371/journal.pone.0188629
40
Caroline Garcia Forlim, Leonie Klock, Jürgen Gallinat, Simone Kühn. Altered resting-state functional connectivity in a thalamo-cortico-cerebellar network in patients with schizophreniaScientific Reports 2024; 14(1) doi: 10.1038/s41598-024-78297-3
41
Liting Chen, Yunmi Chen, Huang Zheng, Bin Zhang, Fei Wang, Jin Fang, Yueyue Li, Qiuyin Chen, Shuixing Zhang. Changes in the topological organization of the default mode network in autism spectrum disorderBrain Imaging and Behavior 2021; 15(2): 1058 doi: 10.1007/s11682-020-00312-8
42
Soyolsaikhan Odkhuu, Woo-Sung Kim, Uyanga Tsogt, Jie Shen, Sahar Cheraghi, Ling Li, Fatima Zahra Rami, Thi-Hung Le, Keon-Hak Lee, Nam-In Kang, Sung-Wan Kim, Young-Chul Chung. Network biomarkers in recovered psychosis patients who discontinued antipsychoticsMolecular Psychiatry 2023; 28(9): 3717 doi: 10.1038/s41380-023-02279-6