A citation-based method for searching scientific literature

Katja Franke, Christian Gaser. Front Neurol 2019
Times Cited: 52







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



Times Cited
  Times     Co-cited
Similarity


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
50


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
48

Predicting Age Using Neuroimaging: Innovative Brain Ageing Biomarkers.
James H Cole, Katja Franke. Trends Neurosci 2017
155
48

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
44

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
40

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
38

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
36

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
34

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
28

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
28

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
26

Accelerated Brain Aging in Schizophrenia: A Longitudinal Pattern Recognition Study.
Hugo G Schnack, Neeltje E M van Haren, Mireille Nieuwenhuis, Hilleke E Hulshoff Pol, Wiepke Cahn, René S Kahn. Am J Psychiatry 2016
135
23


Multimodal population brain imaging in the UK Biobank prospective epidemiological study.
Karla L Miller, Fidel Alfaro-Almagro, Neal K Bangerter, David L Thomas, Essa Yacoub, Junqian Xu, Andreas J Bartsch, Saad Jbabdi, Stamatios N Sotiropoulos, Jesper L R Andersson,[...]. Nat Neurosci 2016
422
21

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
21

Prediction of brain age suggests accelerated atrophy after traumatic brain injury.
James H Cole, Robert Leech, David J Sharp. Ann Neurol 2015
141
19


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
20

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
19

Brain aging comprises many modes of structural and functional change with distinct genetic and biophysical associations.
Stephen M Smith, Lloyd T Elliott, Fidel Alfaro-Almagro, Paul McCarthy, Thomas E Nichols, Gwenaëlle Douaud, Karla L Miller. Elife 2020
24
37

Assessing distinct patterns of cognitive aging using tissue-specific brain age prediction based on diffusion tensor imaging and brain morphometry.
Geneviève Richard, Knut Kolskår, Anne-Marthe Sanders, Tobias Kaufmann, Anders Petersen, Nhat Trung Doan, Jennifer Monereo Sánchez, Dag Alnæs, Kristine M Ulrichsen, Erlend S Dørum,[...]. PeerJ 2018
28
32

Commentary: Correction procedures in brain-age prediction.
Ann-Marie G de Lange, James H Cole. Neuroimage Clin 2020
17
52

Quantitative assessment of structural image quality.
Adon F G Rosen, David R Roalf, Kosha Ruparel, Jason Blake, Kevin Seelaus, Lakshmi P Villa, Rastko Ciric, Philip A Cook, Christos Davatzikos, Mark A Elliott,[...]. Neuroimage 2018
77
15


Population-based neuroimaging reveals traces of childbirth in the maternal brain.
Ann-Marie G de Lange, Tobias Kaufmann, Dennis van der Meer, Luigi A Maglanoc, Dag Alnæs, Torgeir Moberget, Gwenaëlle Douaud, Ole A Andreassen, Lars T Westlye. Proc Natl Acad Sci U S A 2019
17
47

A multi-modal parcellation of human cerebral cortex.
Matthew F Glasser, Timothy S Coalson, Emma C Robinson, Carl D Hacker, John Harwell, Essa Yacoub, Kamil Ugurbil, Jesper Andersson, Christian F Beckmann, Mark Jenkinson,[...]. Nature 2016
13

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
13

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
13

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
25

Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank.
Fidel Alfaro-Almagro, Mark Jenkinson, Neal K Bangerter, Jesper L R Andersson, Ludovica Griffanti, Gwenaëlle Douaud, Stamatios N Sotiropoulos, Saad Jbabdi, Moises Hernandez-Fernandez, Emmanuel Vallee,[...]. Neuroimage 2018
206
13

Brain age prediction using deep learning uncovers associated sequence variants.
B A Jonsson, G Bjornsdottir, T E Thorgeirsson, L M Ellingsen, G Bragi Walters, D F Gudbjartsson, H Stefansson, K Stefansson, M O Ulfarsson. Nat Commun 2019
26
26

Brain-age in midlife is associated with accelerated biological aging and cognitive decline in a longitudinal birth cohort.
Maxwell L Elliott, Daniel W Belsky, Annchen R Knodt, David Ireland, Tracy R Melzer, Richie Poulton, Sandhya Ramrakha, Avshalom Caspi, Terrie E Moffitt, Ahmad R Hariri. Mol Psychiatry 2019
23
30

Structural brain changes in aging: courses, causes and cognitive consequences.
Anders M Fjell, Kristine B Walhovd. Rev Neurosci 2010
386
11


Evaluation of non-negative matrix factorization of grey matter in age prediction.
Deepthi P Varikuti, Sarah Genon, Aristeidis Sotiras, Holger Schwender, Felix Hoffstaedter, Kaustubh R Patil, Christiane Jockwitz, Svenja Caspers, Susanne Moebus, Katrin Amunts,[...]. Neuroimage 2018
26
23

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
11

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
18

Improved prediction of brain age using multimodal neuroimaging data.
Xin Niu, Fengqing Zhang, John Kounios, Hualou Liang. Hum Brain Mapp 2020
12
50

Advanced BrainAGE in older adults with type 2 diabetes mellitus.
Katja Franke, Christian Gaser, Brad Manor, Vera Novak. Front Aging Neurosci 2013
73
11

Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group.
Laura K M Han, Richard Dinga, Tim Hahn, Christopher R K Ching, Lisa T Eyler, Lyubomir Aftanas, Moji Aghajani, André Aleman, Bernhard T Baune, Klaus Berger,[...]. Mol Psychiatry 2020
18
33

Women's brain aging: Effects of sex-hormone exposure, pregnancies, and genetic risk for Alzheimer's disease.
Ann-Marie G de Lange, Claudia Barth, Tobias Kaufmann, Ivan I Maximov, Dennis van der Meer, Ingrid Agartz, Lars T Westlye. Hum Brain Mapp 2020
10
60

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
11

Pregnancy leads to long-lasting changes in human brain structure.
Elseline Hoekzema, Erika Barba-Müller, Cristina Pozzobon, Marisol Picado, Florencio Lucco, David García-García, Juan Carlos Soliva, Adolf Tobeña, Manuel Desco, Eveline A Crone,[...]. Nat Neurosci 2017
197
9

Gaussian process uncertainty in age estimation as a measure of brain abnormality.
Benjamin Gutierrez Becker, Tassilo Klein, Christian Wachinger. Neuroimage 2018
16
31

Benefits of multi-modal fusion analysis on a large-scale dataset: life-span patterns of inter-subject variability in cortical morphometry and white matter microstructure.
Adrian R Groves, Stephen M Smith, Anders M Fjell, Christian K Tamnes, Kristine B Walhovd, Gwenaëlle Douaud, Mark W Woolrich, Lars T Westlye. Neuroimage 2012
72
9

Bias-adjustment in neuroimaging-based brain age frameworks: A robust scheme.
Iman Beheshti, Scott Nugent, Olivier Potvin, Simon Duchesne. Neuroimage Clin 2019
12
41

Cross-Sectional and Longitudinal MRI Brain Scans Reveal Accelerated Brain Aging in Multiple Sclerosis.
Einar A Høgestøl, Tobias Kaufmann, Gro O Nygaard, Mona K Beyer, Piotr Sowa, Jan E Nordvik, Knut Kolskår, Geneviève Richard, Ole A Andreassen, Hanne F Harbo,[...]. Front Neurol 2019
18
27

Gray Matter Age Prediction as a Biomarker for Risk of Dementia.
Johnny Wang, Maria J Knol, Aleksei Tiulpin, Florian Dubost, Marleen de Bruijne, Meike W Vernooij, Hieab H H Adams, M Arfan Ikram, Wiro J Niessen, Gennady V Roshchupkin. Proc Natl Acad Sci U S A 2019
19
26



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.