A citation-based method for searching scientific literature

Geetha Senthil, Thomas Lehner. Schizophr Res 2020
Times Cited: 2







List of co-cited articles
articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


From estimating activation locality to predicting disorder: A review of pattern recognition for neuroimaging-based psychiatric diagnostics.
Thomas Wolfers, Jan K Buitelaar, Christian F Beckmann, Barbara Franke, Andre F Marquand. Neurosci Biobehav Rev 2015
138
50

Assessing the quality of reports of randomized clinical trials: is blinding necessary?
A R Jadad, R A Moore, D Carroll, C Jenkinson, D J Reynolds, D J Gavaghan, H J McQuay. Control Clin Trials 1996
50

Resting-state anticorrelated networks in Schizophrenia.
Shukti Ramkiran, Abhinav Sharma, Naren P Rao. Psychiatry Res Neuroimaging 2019
5
50

Machine learning identifies unaffected first-degree relatives with functional network patterns and cognitive impairment similar to those of schizophrenia patients.
Rixing Jing, Peng Li, Zengbo Ding, Xiao Lin, Rongjiang Zhao, Le Shi, Hao Yan, Jinmin Liao, Chuanjun Zhuo, Lin Lu,[...]. Hum Brain Mapp 2019
10
50

Detecting neuroimaging biomarkers for schizophrenia: a meta-analysis of multivariate pattern recognition studies.
Joseph Kambeitz, Lana Kambeitz-Ilankovic, Stefan Leucht, Stephen Wood, Christos Davatzikos, Berend Malchow, Peter Falkai, Nikolaos Koutsouleris. Neuropsychopharmacology 2015
99
50

Computational Psychiatry and the Challenge of Schizophrenia.
John H Krystal, John D Murray, Adam M Chekroud, Philip R Corlett, Genevieve Yang, Xiao-Jing Wang, Alan Anticevic. Schizophr Bull 2017
26
50

Abnormal long- and short-range functional connectivity in adolescent-onset schizophrenia patients: A resting-state fMRI study.
Shuai Wang, Yajing Zhan, Yan Zhang, Luxian Lyu, Hailong Lyu, Guodong Wang, Renrong Wu, Jingping Zhao, Wenbin Guo. Prog Neuropsychopharmacol Biol Psychiatry 2018
27
50

Disease prediction based on functional connectomes using a scalable and spatially-informed support vector machine.
Takanori Watanabe, Daniel Kessler, Clayton Scott, Michael Angstadt, Chandra Sripada. Neuroimage 2014
34
50

Decreased Resting-State Interhemispheric Functional Connectivity Correlated with Neurocognitive Deficits in Drug-Naive First-Episode Adolescent-Onset Schizophrenia.
Yi Liu, Wenbin Guo, Yan Zhang, Luxian Lv, Feihu Hu, Renrong Wu, Jingping Zhao. Int J Neuropsychopharmacol 2018
22
50

Using short-range and long-range functional connectivity to identify schizophrenia with a family-based case-control design.
Wenbin Guo, Feng Liu, Jindong Chen, Renrong Wu, Lehua Li, Zhikun Zhang, Huafu Chen, Jingping Zhao. Psychiatry Res Neuroimaging 2017
9
50

Schizophrenia.
Michael J Owen, Akira Sawa, Preben B Mortensen. Lancet 2016
596
50

Machine learning technique reveals intrinsic characteristics of schizophrenia: an alternative method.
Junhua Li, Yu Sun, Yi Huang, Anastasios Bezerianos, Rongjun Yu. Brain Imaging Behav 2019
12
50

Computer aided diagnosis of schizophrenia on resting state fMRI data by ensembles of ELM.
Darya Chyzhyk, Alexandre Savio, Manuel Graña. Neural Netw 2015
21
50

Machine learning techniques in a structural and functional MRI diagnostic approach in schizophrenia: a systematic review.
Renato de Filippis, Elvira Anna Carbone, Raffaele Gaetano, Antonella Bruni, Valentina Pugliese, Cristina Segura-Garcia, Pasquale De Fazio. Neuropsychiatr Dis Treat 2019
11
50

Uncovering intrinsic modular organization of spontaneous brain activity in humans.
Yong He, Jinhui Wang, Liang Wang, Zhang J Chen, Chaogan Yan, Hong Yang, Hehan Tang, Chaozhe Zhu, Qiyong Gong, Yufeng Zang,[...]. PLoS One 2009
390
50

Differences Between Schizophrenic and Normal Subjects Using Network Properties from fMRI.
Youngoh Bae, Kunaraj Kumarasamy, Issa M Ali, Panagiotis Korfiatis, Zeynettin Akkus, Bradley J Erickson. J Digit Imaging 2018
7
50


Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review.
Graziella Orrù, William Pettersson-Yeo, Andre F Marquand, Giuseppe Sartori, Andrea Mechelli. Neurosci Biobehav Rev 2012
468
50

Characterizing functional regional homogeneity (ReHo) as a B-SNIP psychosis biomarker using traditional and machine learning approaches.
Lanxin Ji, Shashwath A Meda, Carol A Tamminga, Brett A Clementz, Matcheri S Keshavan, John A Sweeney, Elliot S Gershon, Godfrey D Pearlson. Schizophr Res 2020
8
50


Machine Learning in Medicine.
Rahul C Deo. Circulation 2015
589
50

On the integrity of functional brain networks in schizophrenia, Parkinson's disease, and advanced age: Evidence from connectivity-based single-subject classification.
Rachel N Pläschke, Edna C Cieslik, Veronika I Müller, Felix Hoffstaedter, Anna Plachti, Deepthi P Varikuti, Mareike Goosses, Anne Latz, Svenja Caspers, Christiane Jockwitz,[...]. Hum Brain Mapp 2017
14
50

An evaluation of variation in published estimates of schizophrenia prevalence from 1990─2013: a systematic literature review.
Jason C Simeone, Alexandra J Ward, Philip Rotella, Jenna Collins, Ricarda Windisch. BMC Psychiatry 2015
108
50

Diagnostic classification of schizophrenia patients on the basis of regional reward-related FMRI signal patterns.
Stefan P Koch, Claudia Hägele, John-Dylan Haynes, Andreas Heinz, Florian Schlagenhauf, Philipp Sterzer. PLoS One 2015
17
50

The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration.
Alessandro Liberati, Douglas G Altman, Jennifer Tetzlaff, Cynthia Mulrow, Peter C Gøtzsche, John P A Ioannidis, Mike Clarke, P J Devereaux, Jos Kleijnen, David Moher. BMJ 2009
50

Schizophrenia: a concise overview of incidence, prevalence, and mortality.
John McGrath, Sukanta Saha, David Chant, Joy Welham. Epidemiol Rev 2008
952
50

An overview of statistical learning theory.
V N Vapnik. IEEE Trans Neural Netw 1999
599
50

Functional asymmetry of thalamocortical networks in subjects at ultra-high risk for psychosis and first-episode schizophrenia.
Furong Zhu, Yi Liu, Feng Liu, Ru Yang, Huabing Li, Jindong Chen, David N Kennedy, Jingping Zhao, Wenbin Guo. Eur Neuropsychopharmacol 2019
8
50

A Hybrid Machine Learning Method for Fusing fMRI and Genetic Data: Combining both Improves Classification of Schizophrenia.
Honghui Yang, Jingyu Liu, Jing Sui, Godfrey Pearlson, Vince D Calhoun. Front Hum Neurosci 2010
95
50

Discriminative analysis of non-linear brain connectivity in schizophrenia: an fMRI Study.
Longfei Su, Lubin Wang, Hui Shen, Guiyu Feng, Dewen Hu. Front Hum Neurosci 2013
32
50

Machine learning of neuroimaging for assisted diagnosis of cognitive impairment and dementia: A systematic review.
Enrico Pellegrini, Lucia Ballerini, Maria Del C Valdes Hernandez, Francesca M Chappell, Victor González-Castro, Devasuda Anblagan, Samuel Danso, Susana Muñoz-Maniega, Dominic Job, Cyril Pernet,[...]. Alzheimers Dement (Amst) 2018
47
50

Multimodal classification of drug-naïve first-episode schizophrenia combining anatomical, diffusion and resting state functional resonance imaging.
Huixiang Zhuang, Ruihao Liu, Chaowei Wu, Ziyu Meng, Danni Wang, Dengtang Liu, Manhua Liu, Yao Li. Neurosci Lett 2019
4
50

Accurate classification of schizophrenia patients based on novel resting-state fMRI features.
Mohammad R Arbabshirani, Eduardo Castro, Vince D Calhoun. Annu Int Conf IEEE Eng Med Biol Soc 2014
13
50

Predicting primary progressive aphasias with support vector machine approaches in structural MRI data.
Sandrine Bisenius, Karsten Mueller, Janine Diehl-Schmid, Klaus Fassbender, Timo Grimmer, Frank Jessen, Jan Kassubek, Johannes Kornhuber, Bernhard Landwehrmeyer, Albert Ludolph,[...]. Neuroimage Clin 2017
17
50

Low-rank network signatures in the triple network separate schizophrenia and major depressive disorder.
Wei Han, Christian Sorg, Changgang Zheng, Qinli Yang, Xiaosong Zhang, Arvid Ternblom, Cobbinah Bernard Mawuli, Lianli Gao, Cheng Luo, Dezhong Yao,[...]. Neuroimage Clin 2019
6
50

Altered intrinsic and extrinsic connectivity in schizophrenia.
Yuan Zhou, Peter Zeidman, Shihao Wu, Adeel Razi, Cheng Chen, Liuqing Yang, Jilin Zou, Gaohua Wang, Huiling Wang, Karl J Friston. Neuroimage Clin 2017
27
50

Identification and evaluation of cognitive deficits in schizophrenia using "Machine learning".
Antonella Vacca, Roberto Longo, Corrado Mencar. Psychiatr Danub 2019
2
50

Multisite generalizability of schizophrenia diagnosis classification based on functional brain connectivity.
Pierre Orban, Christian Dansereau, Laurence Desbois, Violaine Mongeau-Pérusse, Charles-Édouard Giguère, Hien Nguyen, Adrianna Mendrek, Emmanuel Stip, Pierre Bellec. Schizophr Res 2018
19
50


Altered Brain Network Connectivity as a Potential Endophenotype of Schizophrenia.
Peng Li, Teng-Teng Fan, Rong-Jiang Zhao, Ying Han, Le Shi, Hong-Qiang Sun, Si-Jing Chen, Jie Shi, Xiao Lin, Lin Lu. Sci Rep 2017
17
50

Machine learning approaches: from theory to application in schizophrenia.
Elisa Veronese, Umberto Castellani, Denis Peruzzo, Marcella Bellani, Paolo Brambilla. Comput Math Methods Med 2013
32
50


Exploring Comorbidity Within Mental Disorders Among a Danish National Population.
Oleguer Plana-Ripoll, Carsten Bøcker Pedersen, Yan Holtz, Michael E Benros, Søren Dalsgaard, Peter de Jonge, Chun Chieh Fan, Louisa Degenhardt, Andrea Ganna, Aja Neergaard Greve,[...]. JAMA Psychiatry 2019
118
50

Prevalence, severity, and unmet need for treatment of mental disorders in the World Health Organization World Mental Health Surveys.
Koen Demyttenaere, Ronny Bruffaerts, Jose Posada-Villa, Isabelle Gasquet, Viviane Kovess, Jean Pierre Lepine, Matthias C Angermeyer, Sebastian Bernert, Giovanni de Girolamo, Pierluigi Morosini,[...]. JAMA 2004
50


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.