Multimodal population brain imaging in the UK Biobank prospective epidemiological study

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   Filip Morys, Mahsa Dadar, Alain Dagher · 2021 · The Journal of Clinical Endocrinology & Metabolism
2. Cardiovascular Disease and Alzheimer's Disease: The Heart–Brain Axis
   Anum Saeed, O. López, Ann D Cohen, S. Reis · 2023 · Journal of the American Heart Association : Cardiovascular and Cerebrovascular Disease
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4. Cellular correlates of cortical thinning throughout the lifespan
   Vidal-Pineiro, Didac, Parker, Nadine, Shin, Jean, French, Leon, Grydeland, Håkon, Jackowski, Andrea P., Mowinckel, Athanasia M., Patel, Yash, Pausova, Zdenka, Salum, Giovanni et al. · 2020 · Scientific Reports
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   Braga, Rodrigo M., Van Dijk, Koene R. A., Polimeni, Jonathan R., Eldaief, Mark C., Buckner, Randy L. · 2019 · Journal of Neurophysiology
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9. Assessing inter individual differences with task related functional neuroimaging
   Lebreton, Maël, Bavard, Sophie, Daunizeau, Jean, Palminteri, Stefano · 2019 · Nature Human Behaviour
10. Individual variations in ‘brain age’ relate to early-life factors more than to longitudinal brain change
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    Paulus, Martin P., Thompson, Wesley K. · 2019 · JAMA Psychiatry
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14. Association of relative brain age with tobacco smoking, alcohol consumption, and genetic variants
    Kaida Ning, Lu Zhao, William J. Matloff, Fengzhu Sun, Arthur W. Toga · 2020 · Scientific Reports
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    Bingxin Zhao, Tengfei Li, Stephen M. Smith, Di Xiong, Xifeng Wang, Yue Yang, Tianyou Luo, Ziliang Zhu, Yue Shan, Nana Matoba et al. · 2022 · Nature Genetics
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    Lukas Snoek, Maite M. van der Miesen, Tinka Beemsterboer, Andries R. van der Leij, Annemarie Eigenhuis, H. Steven Scholte · 2021 · Scientific Data
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    Xin You Tai, Cheng Chen, Sanjay Manohar, Masud Husain B · 2022 · Communications Biology
18. Associations Between Handgrip Strength and Dementia Risk, Cognition, and Neuroimaging Outcomes in the UK Biobank Cohort Study
    Kate A. Duchowny, Sarah F. Ackley, Willa D. Brenowitz, Jingxuan Wang, Scott C. Zimmerman, Michelle R. Caunca, M. Maria Glymour · 2022 · JAMA Network Open
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    Jocelyn A. Ricard, Termara Parker, Elvisha Dhamala, Jasmine A. C. Kwasa, AZA Stephen Allsop, Avram J. Holmes · 2022 · Nature Neuroscience
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    DeCasien, Alex R., Guma, Elisa, Liu, Siyuan, Raznahan, Armin · 2022 · Biology of Sex Differences
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    Cheryl L. Grady, Jenny R Rieck, Daniel Nichol, Karen M. Rodrigue, Kristen M. Kennedy · 2020 · Human Brain Mapping
22. Image formation in diffusion MRI: A review of recent technical developments
    Wenchuan Wu, Karla L. Miller · 2017 · Journal of Magnetic Resonance Imaging
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    Anatürk, Melis, Kaufmann, Tobias, Cole, James H., Suri, Sana, Griffanti, Ludovica, Zsoldos, Enikő, Filippini, Nicola, Singh‐Manoux, Archana, Kivimäki, Mika, Westlye, Lars T. et al. · 2021 · Human Brain Mapping
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    Christophe Tanguay-Sabourin, Matt Fillingim, Gianluca V. Guglietti, Azin Zare, Marc Parisien, Jax Norman, Hilary Sweatman, Ronrick Da‐ano, Eveliina Heikkala, John C.S. Breitner et al. · 2023 · Nature Medicine
25. Subspecialization within default mode nodes characterized in 10,000 UK Biobank participants
    Julius M. Kernbach, B.T. Thomas Yeo, Jonathan Smallwood, Daniel S. Margulies, Michel Thiebaut de Schotten, Henrik Walter, Mert Rory Sabuncu, Avram J. Holmes, Alexandre Gramfort, Gael P. Varoquaux et al. · 2018 · Proceedings of the National Academy of Sciences
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    Christopher R. K. Ching, Derrek P. Hibar, Tiril Pedersen Gurholt, Abraham Nunes, Sophia I. Thomopoulos, Christoph Abé, Ingrid Agartz, Rachel M. Brouwer, Dara M. Cannon, Sonja M. C. de Zwarte et al. · 2020 · Human Brain Mapping
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    Manuscript Writing Group, Keren Carss, Bjarni V. Halldórsson, Liping Hou, Jimmy Z. Liu, Eleanor Wheeler, Yancy Lo, Kousik Kundu, Zhuoyi Huang, Ben Lacey et al. · 2025 · Nature
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    Maite M. van der Miesen, Martin A. Lindquist, Tor Dessart Wager · 2019 · PAIN Reports
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    Nicola K. Dinsdale, Emma Bluemke, Stephen M. Smith, Zobair Arya, Diego Vidaurre, Mark Jenkinson, Ana I. L. Namburete · 2020 · NeuroImage
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    Javier González-Castillo, Julia W. Y. Kam, Colin W. Hoy, Peter A. Bandettini · 2021 · Journal of Neuroscience
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32. Mendelian randomization analyses support causal relationships between brain imaging-derived phenotypes and risk of psychiatric disorders
    Jing Guo, Ke Yu, Shan‐Shan Dong, Shi Yao, Yu Rong, Hao Wu, Kun Zhang, Feng Jiang, Yi-Xiao Chen, Yan Guo et al. · 2022 · Nature Neuroscience
33. Associations between grip strength, brain structure, and mental health in > 40,000 participants from the UK Biobank
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34. Whole Brain Magnetic Resonance Image Atlases: A Systematic Review of Existing Atlases and Caveats for Use in Population Imaging
    David Alexander Dickie, Susan Deborah Shenkin, Devasuda Anblagan, Ju Young Lee, Manuel Blesa, David Rodriguez, James P. Boardman, Adam D. Waldman, Dominic E. Job, Joanna Marguerite Wardlaw · 2017 · Frontiers in Neuroinformatics
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    Charlotte Fraza, Richard Dinga, Christian F. Beckmann, André F. Marquand · 2021 · NeuroImage
36. The advantages of UK Biobank's open‐access strategy for health research
    Megan C. Conroy, Jonathan Sellors, Mark Effingham, Thomas J. Littlejohns, Chris Boultwood, L. Gillions, Cathie L. M. Sudlow, Rory Collins, Naomi E. Allen · 2019 · Journal of Internal Medicine
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    Anees Kazi, Luca Cosmo, Seyed‐Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
38. From pattern classification to stratification: towards conceptualizing the heterogeneity of Autism Spectrum Disorder
    Thomas Wolfers, Dorothea L. Floris, Richard Dinga, Daan van Rooij, Christina Isakoglou, Seyed Mostafa Kia, Mariam Zabihi, Alberto Llera, Rajanikanth Chowdanayaka, Vinod Kumar et al. · 2019 · Neuroscience & Biobehavioral Reviews
39. Subcortical volume and white matter integrity abnormalities in major depressive disorder: findings from UK Biobank imaging data
    Xueyi Shen, Lianne Maria Reus, Simon R. Cox, Mark J. Adams, David C M Liewald, Mark E. Bastin, Daniel J. Smıth, Ian J. Deary, Heather Clare Whalley, Andrew Mark McIntosh · 2017 · Scientific Reports
40. Handedness and its genetic influences are associated with structural asymmetries of the cerebral cortex in 31,864 individuals
    Zhiqiang Sha, Antonietta Pepe, Dick Schijven, Amaia Carrión-Castillo, James M. Roe, René Westerhausen, Marc Joliot, Simon E. Fisher, Fabrice Crivello, Clyde Francks · 2021 · Proceedings of the National Academy of Sciences
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    Dennis van der Meer, Tobias Kaufmann, Alexey A. Shadrin, Carolina Makowski, Oleksandr Frei, Daniël Roelfs, Jennifer Monereo Sánchez, David E.J. Linden, Jaroslav Rokicki, Christiaan de Leeuw et al. · 2021 · Science Advances
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    Ann‐Marie G. de Lange, Melis Anatürk, Sana Suri, Tobias Kaufmann, James Howard Cole, Ludovica Griffanti, Enikő Zsoldos, Daria E. A. Jensen, Nicola Filippini, Archana Singh‐Manoux et al. · 2020 · NeuroImage
43. The effect of network thresholding and weighting on structural brain networks in the uk biobank
    Buchanan, Colin R., Bastin, Mark E., Ritchie, Stuart J., Liewald, David C., Madole, James W., Tucker-Drob, Elliot M., Deary, Ian J., Cox, Simon R. · 2020 · NeuroImage
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    Wachinger, Christian, Rieckmann, Anna, Pölsterl, Sebastian · 2021 · Medical Image Analysis
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    Sara Larivière, Şeyma Bayrak, Reinder Vos de Wael, Oualid M. Benkarim, Peer Herholz, Raúl Rodríguez‐Cruces, Casey Paquola, Seok‐Jun Hong, Bratislav Mišić, Alan Charles Evans et al. · 2022 · NeuroImage
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    Kevin M. Anderson, Meghan A. Collins, Rowena Chin, Tian Ge, Monica D. Rosenberg, Avram J. Holmes · 2020 · Nature Communications
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    Wenhui Zhao, Lei Zhao, Xiangyu Chang, Xuejing Lu, Yiheng Tu · 2023 · Proceedings of the National Academy of Sciences
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    Walhovd, Kristine B., Lövden, Martin, Fjell, Anders M. · 2023 · Trends in Cognitive Sciences
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    Francesca Mandino, Domenic H. Cerri, Clément M. Garin, Milou Straathof, Geralda A. F. van Tilborg, M. Mallar Chakravarty, Marc Dhénain, Rick M. Dijkhuizen, Alessandro Gozzi, Andreas Heß et al. · 2020 · Frontiers in Neuroinformatics
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    Kamalaker Dadi, Gael P. Varoquaux, Antonia Machlouzarides-Shalit, Krzysztof J. Gorgolewski, Demián Wassermann, Bertrand Thirion, Arthur Mensch · 2020 · NeuroImage
51. A consensus protocol for functional connectivity analysis in the rat brain
    Joanes Grandjean, Gabriel Desrosiers-Grégoire, Cynthia Anckaerts, Diego Ángeles-Valdéz, Fadi Ayad, David André Barrière, Ines Blockx, Aleksandra B Bortel, Margaret Broadwater, Beatriz M Cardoso et al. · 2023 · Nature Neuroscience
52. High-resolution connectomic fingerprints: Mapping neural identity and behavior
    Sina Mansour L., Ye Tian, B.T. Thomas Yeo, Vanessa Cropley, Andrew Zalesky · 2021 · NeuroImage
53. Vertex-wise multivariate genome-wide association study identifies 780 unique genetic loci associated with cortical morphology
    Alexey A. Shadrin, Tobias Kaufmann, Dennis van der Meer, Clare E. Palmer, Carolina Makowski, Robert J. Loughnan, Terry L. Jernigan, Tyler M. Seibert, Donald J. Hagler, Olav Bjerkehagen Smeland et al. · 2021 · NeuroImage
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    Bastiaan R. Bloem, William J. Marks, Ana Lígia Silva de Lima, Mark L. Kuijf, Teus van Laar, Bram Jacobs, Marcel M. Verbeek, Rick C. G. Helmich, Bart P.C. van de Warrenburg, Luc J. W. Evers et al. · 2019 · BMC Neurology
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    Jessica Royer, Raúl Rodríguez‐Cruces, Shahin Tavakol, Sara Larivière, Peer Herholz, Qiongling Li, Reinder Vos de Wael, Casey Paquola, Oualid M. Benkarim, Bo‐yong Park et al. · 2022 · Scientific Data
56. Classification and treatment of antisocial individuals: From behavior to biocognition
    Inti Angelo Brazil, Josanne D. M. van Dongen, Joseph H. R. Maes, Rogier B. Mars, Arielle Ryan Baskin-sommers · 2016 · Neuroscience & Biobehavioral Reviews
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    Jordan A. Chad, Ofer Pasternak, David H. Salat, J. Jean Chen · 2018 · Neurobiology of Aging
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    Ye Tian, Andrew Zalesky · 2021 · NeuroImage
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    Jingnan Du, Lauren M. DiNicola, Peter A. Angeli, Noam Saadon‐Grosman, Wendy Sun, Stéphanie Kaiser, Joanna Ladopoulou, Aihuiping Xue, B.T. Thomas Yeo, Mark C. Eldaief et al. · 2024 · Journal of Neurophysiology
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    Johanna Stumme, Christiane Jockwitz, Felix Hoffstaedter, Katrin Amunts, Svenja Caspers · 2020 · NeuroImage
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    Thomas M. Wassenaar, Kristine S. Yaffe, Ysbrand D. van der Werf, Claire E. Sexton · 2019 · Neurobiology of Aging
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    Jason Fries, Paroma Varma, Vincent S. Chen, Ke Xiao, Heliodoro Tejeda, Priyanka Saha, Jared Dunnmon, Henry Chubb, Shiraz Arif Maskatia, Madalina Fiterau et al. · 2019 · Nature Communications
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    Ayan S. Mandal, Rafael Romero-García, Michael G. Hart, John Suckling A · 2020 · Brain
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    Donald M. Lyall, Terence J. Quinn, Laura M. Lyall, Joey Ward, Jana J. Anderson, Daniel J. Smıth, William B. Stewart Jr., Rona J. Strawbridge, Mark E.S. Bailey, Breda Cullen · 2022 · Brain Communications
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    Ivan I. Maximov, Dag Alnæs, Lars Tjelta Westlye · 2019 · Human Brain Mapping
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    Takuya Hayashi, Yujie Hou, Matthew F. Glasser, Joonas A. Autio, Kenneth Knoblauch, Miho Inoue‐Murayama, Tim Coalson, Essa S. Yacoub, Stephen M. Smith, Henry Kennedy et al. · 2021 · NeuroImage
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    Lianne Maria Reus, Xueyi Shen, Jude Gibson, Eleanor M. Wigmore, Lannie Ligthart, Mark J. Adams, Gail Davies, Simon R. Cox, Saskia P. Hagenaars, Mark E. Bastin et al. · 2017 · Scientific Reports
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    Tong He, Lijun An, Pansheng Chen, Jianzhong Chen, Jiashi Feng, Danilo Bzdok, Avram J. Holmes, Simon Bodo Eickhoff, B.T. Thomas Yeo · 2022 · Nature Neuroscience
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    Yin Wang, Athanasia Metoki, Kylie H. Alm, Ingrid R. Olson · 2018 · Neuroscience & Biobehavioral Reviews
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    Zhengwu Zhang, Genevera I. Allen, Hongtu Zhu B, David B. Dunson · 2019 · NeuroImage
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    Michele Veldsman, Xin-You Tai, Thomas E. Nichols, Stephen M. Smith, João Pedro Fernandes Peixoto, Sanjay Manohar, Masud Husain B · 2020 · Nature Communications
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86. Genetic variation in PLEKHG1 is associated with white matter hyperintensities (n = 11,226)
    Matthew Traylor, Daniel J. Tozer, Iain David Croall, D Ford, Abiodun Olubunmi Olorunda, Giorgio Battista Boncoraglio, Martin Dichgans, Robin Lemmens, Jonathan M. Rosand, Natalia S. Rost et al. · 2019 · Neurology
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    Jennifer Monereo Sánchez, Joost J.A. de Jong, Gerhard S. Drenthen, Magdalena Beran, Walter H. Backes, Coen D.A. Stehouwer, Miranda T. Schram, David E.J. Linden, Jacobus F.A. Jansen · 2021 · NeuroImage
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    John Kruper, Jason D. Yeatman, Adam Richie-Halford, David Bloom, Mareike Grotheer, Sendy Caffarra, Gregory Kiar, Iliana I. Karipidis, Ethan A. Roy, Bramsh Q. Chandio et al. · 2021 · Aperture Neuro
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    Zhengwu Zhang, Maxime Descoteaux, Jingwen Zhang, Gabriel Girard, Maxime Chamberland, David B. Dunson, Anuj Srivastava, Hongtu Zhu B · 2018 · NeuroImage
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    Xiaoxiao Wang, Xiao Liang, Zhoufan Jiang, Benedictor Alexander Nguchu, Yawen Zhou, Yanming Wang, Huijuan Wang, Yu Li, Yuying Zhu, Feng Wu et al. · 2019 · Human Brain Mapping
95. Graph convolutional network for fMRI analysis based on connectivity neighborhood
    Lebo Wang, Kaiming Li, Xiaoping Philip Hu · 2020 · Network Neuroscience
96. Investigations into within- and between-subject resting-state amplitude variations
    Janine Diane Bijsterbosch, Samuel J. Harrison, Eugene Paul Duff, Fidel Alfaro‐Almagro, Mark W. Woolrich, Stephen M. Smith · 2017 · NeuroImage
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98. Brain aging patterns in a large and diverse cohort of 49,482 individuals
    Zhi-Jian Yang, Jun-Hao Wen, G. Erus, S. T. Govindarajan, Randa Melhem, E. Mamourian, Yu-Han Cui, D. Srinivasan, A. Abdulkadir, P. Parmpi et al. · 2024 · Nature Medicine
99. Dimensionality reduction of diffusion MRI measures for improved tractometry of the human brain
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     Marc Golub, Rafael Neto Henriques, Rita G. Nunes · 2020 · Magnetic Resonance in Medicine