A citation-based method for searching scientific literature

Hugo G Schnack, Neeltje E M van Haren, Mireille Nieuwenhuis, Hilleke E Hulshoff Pol, Wiepke Cahn, René S Kahn. Am J Psychiatry 2016
Times Cited: 135







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



Times Cited
  Times     Co-cited
Similarity


Accelerated brain aging in schizophrenia and beyond: a neuroanatomical marker of psychiatric disorders.
Nikolaos Koutsouleris, Christos Davatzikos, Stefan Borgwardt, Christian Gaser, Ronald Bottlender, Thomas Frodl, Peter Falkai, Anita Riecher-Rössler, Hans-Jürgen Möller, Maximilian Reiser,[...]. Schizophr Bull 2014
178
51


BrainAGE in Mild Cognitive Impaired Patients: Predicting the Conversion to Alzheimer's Disease.
Christian Gaser, Katja Franke, Stefan Klöppel, Nikolaos Koutsouleris, Heinrich Sauer. PLoS One 2013
168
39

Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker.
James H Cole, Rudra P K Poudel, Dimosthenis Tsagkrasoulis, Matthan W A Caan, Claire Steves, Tim D Spector, Giovanni Montana. Neuroimage 2017
166
32

Predicting Age Using Neuroimaging: Innovative Brain Ageing Biomarkers.
James H Cole, Katja Franke. Trends Neurosci 2017
155
29

Brain age predicts mortality.
J H Cole, S J Ritchie, M E Bastin, M C Valdés Hernández, S Muñoz Maniega, N Royle, J Corley, A Pattie, S E Harris, Q Zhang,[...]. Mol Psychiatry 2018
157
29

Predicting brain-age from multimodal imaging data captures cognitive impairment.
Franziskus Liem, Gaël Varoquaux, Jana Kynast, Frauke Beyer, Shahrzad Kharabian Masouleh, Julia M Huntenburg, Leonie Lampe, Mehdi Rahim, Alexandre Abraham, R Cameron Craddock,[...]. Neuroimage 2017
129
28

Prediction of brain age suggests accelerated atrophy after traumatic brain injury.
James H Cole, Robert Leech, David J Sharp. Ann Neurol 2015
141
27

Common brain disorders are associated with heritable patterns of apparent aging of the brain.
Tobias Kaufmann, Dennis van der Meer, Nhat Trung Doan, Emanuel Schwarz, Martina J Lund, Ingrid Agartz, Dag Alnæs, Deanna M Barch, Ramona Baur-Streubel, Alessandro Bertolino,[...]. Nat Neurosci 2019
79
31

BrainAGE score indicates accelerated brain aging in schizophrenia, but not bipolar disorder.
Igor Nenadić, Maren Dietzek, Kerstin Langbein, Heinrich Sauer, Christian Gaser. Psychiatry Res Neuroimaging 2017
49
48

Brain maturation: predicting individual BrainAGE in children and adolescents using structural MRI.
Katja Franke, Eileen Luders, Arne May, Marko Wilke, Christian Gaser. Neuroimage 2012
117
21

Is schizophrenia a syndrome of accelerated aging?
Brian Kirkpatrick, Erick Messias, Philip D Harvey, Emilio Fernandez-Egea, Christopher R Bowie. Schizophr Bull 2008
167
18

Neuroanatomical assessment of biological maturity.
Timothy T Brown, Joshua M Kuperman, Yoonho Chung, Matthew Erhart, Connor McCabe, Donald J Hagler, Vijay K Venkatraman, Natacha Akshoomoff, David G Amaral, Cinnamon S Bloss,[...]. Curr Biol 2012
211
17

Advanced BrainAGE in older adults with type 2 diabetes mellitus.
Katja Franke, Christian Gaser, Brad Manor, Vera Novak. Front Aging Neurosci 2013
73
23

Differences between chronological and brain age are related to education and self-reported physical activity.
Jason Steffener, Christian Habeck, Deirdre O'Shea, Qolamreza Razlighi, Louis Bherer, Yaakov Stern. Neurobiol Aging 2016
76
22

Brain Age in Early Stages of Bipolar Disorders or Schizophrenia.
Tomas Hajek, Katja Franke, Marian Kolenic, Jana Capkova, Martin Matejka, Lukas Propper, Rudolf Uher, Pavla Stopkova, Tomas Novak, Tomas Paus,[...]. Schizophr Bull 2019
29
58

A Nonlinear Simulation Framework Supports Adjusting for Age When Analyzing BrainAGE.
Trang T Le, Rayus T Kuplicki, Brett A McKinney, Hung-Wen Yeh, Wesley K Thompson, Martin P Paulus. Front Aging Neurosci 2018
52
32

Brain age and other bodily 'ages': implications for neuropsychiatry.
James H Cole, Riccardo E Marioni, Sarah E Harris, Ian J Deary. Mol Psychiatry 2019
80
20

Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.
Bruce Fischl, David H Salat, Evelina Busa, Marilyn Albert, Megan Dieterich, Christian Haselgrove, Andre van der Kouwe, Ron Killiany, David Kennedy, Shuna Klaveness,[...]. Neuron 2002
15

Prediction of individual brain maturity using fMRI.
Nico U F Dosenbach, Binyam Nardos, Alexander L Cohen, Damien A Fair, Jonathan D Power, Jessica A Church, Steven M Nelson, Gagan S Wig, Alecia C Vogel, Christina N Lessov-Schlaggar,[...]. Science 2010
15

Increased brain-predicted aging in treated HIV disease.
James H Cole, Jonathan Underwood, Matthan W A Caan, Davide De Francesco, Rosan A van Zoest, Robert Leech, Ferdinand W N M Wit, Peter Portegies, Gert J Geurtsen, Ben A Schmand,[...]. Neurology 2017
93
16

Imaging patterns of brain development and their relationship to cognition.
Guray Erus, Harsha Battapady, Theodore D Satterthwaite, Hakon Hakonarson, Raquel E Gur, Christos Davatzikos, Ruben C Gur. Cereb Cortex 2015
105
14


Structural brain changes in medically refractory focal epilepsy resemble premature brain aging.
Heath R Pardoe, James H Cole, Karen Blackmon, Thomas Thesen, Ruben Kuzniecky. Epilepsy Res 2017
33
39

Accelerated Gray and White Matter Deterioration With Age in Schizophrenia.
Vanessa L Cropley, Paul Klauser, Rhoshel K Lenroot, Jason Bruggemann, Suresh Sundram, Chad Bousman, Avril Pereira, Maria A Di Biase, Thomas W Weickert, Cynthia Shannon Weickert,[...]. Am J Psychiatry 2017
70
17

Differential longitudinal changes in cortical thickness, surface area and volume across the adult life span: regions of accelerating and decelerating change.
Andreas B Storsve, Anders M Fjell, Christian K Tamnes, Lars T Westlye, Knut Overbye, Hilde W Aasland, Kristine B Walhovd. J Neurosci 2014
237
12


An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.
Rahul S Desikan, Florent Ségonne, Bruce Fischl, Brian T Quinn, Bradford C Dickerson, Deborah Blacker, Randy L Buckner, Anders M Dale, R Paul Maguire, Bradley T Hyman,[...]. Neuroimage 2006
12

Brain structure, cognition, and brain age in schizophrenia, bipolar disorder, and healthy controls.
Saba Shahab, Benoit H Mulsant, Melissa L Levesque, Navona Calarco, Arash Nazeri, Anne L Wheeler, George Foussias, Tarek K Rajji, Aristotle N Voineskos. Neuropsychopharmacology 2019
27
44



Age estimation using cortical surface pattern combining thickness with curvatures.
Jieqiong Wang, Wenjing Li, Wen Miao, Dai Dai, Jing Hua, Huiguang He. Med Biol Eng Comput 2014
27
40



Estimation of brain age delta from brain imaging.
Stephen M Smith, Diego Vidaurre, Fidel Alfaro-Almagro, Thomas E Nichols, Karla L Miller. Neuroimage 2019
50
22

Prediction of brain maturity based on cortical thickness at different spatial resolutions.
Budhachandra S Khundrakpam, Jussi Tohka, Alan C Evans. Neuroimage 2015
49
20

The hallmarks of aging.
Carlos López-Otín, Maria A Blasco, Linda Partridge, Manuel Serrano, Guido Kroemer. Cell 2013
10

The positive and negative syndrome scale (PANSS) for schizophrenia.
S R Kay, A Fiszbein, L A Opler. Schizophr Bull 1987
10

Age prediction on the basis of brain anatomical measures.
S A Valizadeh, J Hänggi, S Mérillat, L Jäncke. Hum Brain Mapp 2017
40
25

A voxel-based morphometric study of ageing in 465 normal adult human brains.
C D Good, I S Johnsrude, J Ashburner, R N Henson, K J Friston, R S Frackowiak. Neuroimage 2001
10

Obesity, dyslipidemia and brain age in first-episode psychosis.
Marian Kolenic, Katja Franke, Jaroslav Hlinka, Martin Matejka, Jana Capkova, Zdenka Pausova, Rudolf Uher, Martin Alda, Filip Spaniel, Tomas Hajek. J Psychiatr Res 2018
24
41

Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study.
Habtamu M Aycheh, Joon-Kyung Seong, Jeong-Hyeon Shin, Duk L Na, Byungkon Kang, Sang W Seo, Kyung-Ah Sohn. Front Aging Neurosci 2018
28
35


Use of Machine Learning to Determine Deviance in Neuroanatomical Maturity Associated With Future Psychosis in Youths at Clinically High Risk.
Yoonho Chung, Jean Addington, Carrie E Bearden, Kristin Cadenhead, Barbara Cornblatt, Daniel H Mathalon, Thomas McGlashan, Diana Perkins, Larry J Seidman, Ming Tsuang,[...]. JAMA Psychiatry 2018
45
22

FreeSurfer.
Bruce Fischl. Neuroimage 2012
9

Testing the hypothesis of accelerated cerebral white matter aging in schizophrenia and major depression.
Peter Kochunov, David C Glahn, Laura M Rowland, Rene L Olvera, Anderson Winkler, Yi-Hong Yang, Hemalatha Sampath, Will T Carpenter, Ravindranath Duggirala, Joanne Curran,[...]. Biol Psychiatry 2013
80
11



Ageing and brain white matter structure in 3,513 UK Biobank participants.
Simon R Cox, Stuart J Ritchie, Elliot M Tucker-Drob, David C Liewald, Saskia P Hagenaars, Gail Davies, Joanna M Wardlaw, Catharine R Gale, Mark E Bastin, Ian J Deary. Nat Commun 2016
140
9



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.