A citation-based method for searching scientific literature

Veronika I Müller, Edna C Cieslik, Ilinca Serbanescu, Angela R Laird, Peter T Fox, Simon B Eickhoff. JAMA Psychiatry 2017
Times Cited: 141







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



Times Cited
  Times     Co-cited
Similarity


Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation.
Simon B Eickhoff, Thomas E Nichols, Angela R Laird, Felix Hoffstaedter, Katrin Amunts, Peter T Fox, Danilo Bzdok, Claudia R Eickhoff. Neuroimage 2016
351
27

Activation likelihood estimation meta-analysis revisited.
Simon B Eickhoff, Danilo Bzdok, Angela R Laird, Florian Kurth, Peter T Fox. Neuroimage 2012
832
25

Minimizing within-experiment and within-group effects in Activation Likelihood Estimation meta-analyses.
Peter E Turkeltaub, Simon B Eickhoff, Angela R Laird, Mick Fox, Martin Wiener, Peter Fox. Hum Brain Mapp 2012
697
25

Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: a random-effects approach based on empirical estimates of spatial uncertainty.
Simon B Eickhoff, Angela R Laird, Christian Grefkes, Ling E Wang, Karl Zilles, Peter T Fox. Hum Brain Mapp 2009
22

Ten simple rules for neuroimaging meta-analysis.
Veronika I Müller, Edna C Cieslik, Angela R Laird, Peter T Fox, Joaquim Radua, David Mataix-Cols, Christopher R Tench, Tal Yarkoni, Thomas E Nichols, Peter E Turkeltaub,[...]. Neurosci Biobehav Rev 2018
325
22

Large-Scale Network Dysfunction in Major Depressive Disorder: A Meta-analysis of Resting-State Functional Connectivity.
Roselinde H Kaiser, Jessica R Andrews-Hanna, Tor D Wager, Diego A Pizzagalli. JAMA Psychiatry 2015
987
18

Identification of a common neurobiological substrate for mental illness.
Madeleine Goodkind, Simon B Eickhoff, Desmond J Oathes, Ying Jiang, Andrew Chang, Laura B Jones-Hagata, Brissa N Ortega, Yevgeniya V Zaiko, Erika L Roach, Mayuresh S Korgaonkar,[...]. JAMA Psychiatry 2015
730
16

Functional neuroimaging of major depressive disorder: a meta-analysis and new integration of base line activation and neural response data.
J Paul Hamilton, Amit Etkin, Daniella J Furman, Maria G Lemus, Rebecca F Johnson, Ian H Gotlib. Am J Psychiatry 2012
472
15

Resting-state connectivity biomarkers define neurophysiological subtypes of depression.
Andrew T Drysdale, Logan Grosenick, Jonathan Downar, Katharine Dunlop, Farrokh Mansouri, Yue Meng, Robert N Fetcho, Benjamin Zebley, Desmond J Oathes, Amit Etkin,[...]. Nat Med 2017
953
14

Power failure: why small sample size undermines the reliability of neuroscience.
Katherine S Button, John P A Ioannidis, Claire Mokrysz, Brian A Nosek, Jonathan Flint, Emma S J Robinson, Marcus R Munafò. Nat Rev Neurosci 2013
12

Identification of Common Neural Circuit Disruptions in Cognitive Control Across Psychiatric Disorders.
Lisa M McTeague, Julia Huemer, David M Carreon, Ying Jiang, Simon B Eickhoff, Amit Etkin. Am J Psychiatry 2017
266
12

Bias between MNI and Talairach coordinates analyzed using the ICBM-152 brain template.
Jack L Lancaster, Diana Tordesillas-Gutiérrez, Michael Martinez, Felipe Salinas, Alan Evans, Karl Zilles, John C Mazziotta, Peter T Fox. Hum Brain Mapp 2007
12

Research domain criteria (RDoC): toward a new classification framework for research on mental disorders.
Thomas Insel, Bruce Cuthbert, Marjorie Garvey, Robert Heinssen, Daniel S Pine, Kevin Quinn, Charles Sanislow, Philip Wang. Am J Psychiatry 2010
12

Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group.
L Schmaal, D P Hibar, P G Sämann, G B Hall, B T Baune, N Jahanshad, J W Cheung, T G M van Erp, D Bos, M A Ikram,[...]. Mol Psychiatry 2017
522
12

Multimodal Abnormalities of Brain Structure and Function in Major Depressive Disorder: A Meta-Analysis of Neuroimaging Studies.
Jodie P Gray, Veronika I Müller, Simon B Eickhoff, Peter T Fox. Am J Psychiatry 2020
82
14

Resting-state functional connectivity in major depressive disorder: A review.
Peter C Mulders, Philip F van Eijndhoven, Aart H Schene, Christian F Beckmann, Indira Tendolkar. Neurosci Biobehav Rev 2015
398
11


A meta-analysis of changes in brain activity in clinical depression.
Susan M Palmer, Sheila G Crewther, Leeanne M Carey. Front Hum Neurosci 2015
75
14

Neural mechanisms of the cognitive model of depression.
Seth G Disner, Christopher G Beevers, Emily A P Haigh, Aaron T Beck. Nat Rev Neurosci 2011
780
10


A meta-analytic study of changes in brain activation in depression.
Paul B Fitzgerald, Angela R Laird, Jerome Maller, Zafiris J Daskalakis. Hum Brain Mapp 2008
634
10

Resting-state functional MRI in depression unmasks increased connectivity between networks via the dorsal nexus.
Yvette I Sheline, Joseph L Price, Zhizi Yan, Mark A Mintun. Proc Natl Acad Sci U S A 2010
764
9


Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.
David Moher, Alessandro Liberati, Jennifer Tetzlaff, Douglas G Altman. PLoS Med 2009
9

Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group.
L Schmaal, D J Veltman, T G M van Erp, P G Sämann, T Frodl, N Jahanshad, E Loehrer, H Tiemeier, A Hofman, W J Niessen,[...]. Mol Psychiatry 2016
562
9

Limbic-cortical dysregulation: a proposed model of depression.
H S Mayberg. J Neuropsychiatry Clin Neurosci 1997
9

Gray matter abnormalities in Major Depressive Disorder: a meta-analysis of voxel based morphometry studies.
Emre Bora, Alex Fornito, Christos Pantelis, Murat Yücel. J Affect Disord 2012
473
9

Meta-analysis of the functional neuroanatomy of single-word reading: method and validation.
Peter E Turkeltaub, Guinevere F Eden, Karen M Jones, Thomas A Zeffiro. Neuroimage 2002
8

A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps.
J Radua, D Mataix-Cols, M L Phillips, W El-Hage, D M Kronhaus, N Cardoner, S Surguladze. Eur Psychiatry 2012
440
8

Meta-analytic evidence for neuroimaging models of depression: state or trait?
Julia Graham, Gholamreza Salimi-Khorshidi, Cindy Hagan, Nicholas Walsh, Ian Goodyer, Belinda Lennox, John Suckling. J Affect Disord 2013
97
8

Mapping the depressed brain: a meta-analysis of structural and functional alterations in major depressive disorder.
Julia Sacher, Jane Neumann, Tillmann Fünfstück, Alexandra Soliman, Arno Villringer, Matthias L Schroeter. J Affect Disord 2012
209
8

Resting state brain network function in major depression - Depression symptomatology, antidepressant treatment effects, future research.
Janis Brakowski, Simona Spinelli, Nadja Dörig, Oliver Gero Bosch, Andrei Manoliu, Martin Grosse Holtforth, Erich Seifritz. J Psychiatr Res 2017
152
8

Shared Neural Phenotypes for Mood and Anxiety Disorders: A Meta-analysis of 226 Task-Related Functional Imaging Studies.
Delfina Janiri, Dominik A Moser, Gaelle E Doucet, Maxwell J Luber, Alexander Rasgon, Won Hee Lee, James W Murrough, Gabriele Sani, Simon B Eickhoff, Sophia Frangou. JAMA Psychiatry 2020
72
11


The default mode network and self-referential processes in depression.
Yvette I Sheline, Deanna M Barch, Joseph L Price, Melissa M Rundle, S Neil Vaishnavi, Abraham Z Snyder, Mark A Mintun, Suzhi Wang, Rebecca S Coalson, Marcus E Raichle. Proc Natl Acad Sci U S A 2009
881
7

Depressive Rumination, the Default-Mode Network, and the Dark Matter of Clinical Neuroscience.
J Paul Hamilton, Madison Farmer, Phoebe Fogelman, Ian H Gotlib. Biol Psychiatry 2015
380
7

Meta-analysis of neuroimaging data: a comparison of image-based and coordinate-based pooling of studies.
Gholamreza Salimi-Khorshidi, Stephen M Smith, John R Keltner, Tor D Wager, Thomas E Nichols. Neuroimage 2009
237
7

A lack of consistent brain alterations in insomnia disorder: An activation likelihood estimation meta-analysis.
Masoud Tahmasian, Khadijeh Noori, Fateme Samea, Mojtaba Zarei, Kai Spiegelhalder, Simon B Eickhoff, Eus Van Someren, Habibolah Khazaie, Claudia R Eickhoff. Sleep Med Rev 2018
52
13


Addressing reverse inference in psychiatric neuroimaging: Meta-analyses of task-related brain activation in common mental disorders.
Emma Sprooten, Alexander Rasgon, Morgan Goodman, Ariella Carlin, Evan Leibu, Won Hee Lee, Sophia Frangou. Hum Brain Mapp 2017
67
10

A meta-analysis of neurofunctional imaging studies of emotion and cognition in major depression.
Carsten Diener, Christine Kuehner, Wencke Brusniak, Bettina Ubl, Michèle Wessa, Herta Flor. Neuroimage 2012
222
7


Neural correlates of dysfunctional emotion regulation in major depressive disorder. A systematic review of neuroimaging studies.
Maria M Rive, Geeske van Rooijen, Dick J Veltman, Mary L Phillips, Aart H Schene, Henricus G Ruhé. Neurosci Biobehav Rev 2013
270
7

Large-scale automated synthesis of human functional neuroimaging data.
Tal Yarkoni, Russell A Poldrack, Thomas E Nichols, David C Van Essen, Tor D Wager. Nat Methods 2011
7

Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain.
N Tzourio-Mazoyer, B Landeau, D Papathanassiou, F Crivello, O Etard, N Delcroix, B Mazoyer, M Joliot. Neuroimage 2002
7

Facial emotion processing in major depression: a systematic review of neuroimaging findings.
Anja Stuhrmann, Thomas Suslow, Udo Dannlowski. Biol Mood Anxiety Disord 2011
249
7

Reward Processing in Depression: A Conceptual and Meta-Analytic Review Across fMRI and EEG Studies.
Hanna Keren, Georgia O'Callaghan, Pablo Vidal-Ribas, George A Buzzell, Melissa A Brotman, Ellen Leibenluft, Pedro M Pan, Liana Meffert, Ariela Kaiser, Selina Wolke,[...]. Am J Psychiatry 2018
183
7

Neural network of cognitive emotion regulation--an ALE meta-analysis and MACM analysis.
N Kohn, S B Eickhoff, M Scheller, A R Laird, P T Fox, U Habel. Neuroimage 2014
494
6




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.