Activation likelihood estimation meta-analysis revisited SB Eickhoff, D Bzdok, AR Laird, F Kurth, PT Fox Neuroimage 59 (3), 2349-2361, 2012 | 1459 | 2012 |
Statistics versus Machine Learning D Bzdok, N Altman, M Krzywinski Nature Methods, 1-7, 2018 | 1438* | 2018 |
Machine learning for precision psychiatry: opportunities and challenges D Bzdok, A Meyer-Lindenberg Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 3 (3), 223-230, 2018 | 764 | 2018 |
Parsing the neural correlates of moral cognition: ALE meta-analysis on morality, theory of mind, and empathy D Bzdok, L Schilbach, K Vogeley, K Schneider, AR Laird, R Langner, ... Brain Structure and Function 217, 783-796, 2012 | 720 | 2012 |
The default mode network in cognition: a topographical perspective J Smallwood, BC Bernhardt, R Leech, D Bzdok, E Jefferies, DS Margulies Nature Reviews Neuroscience 22 (8), 503-513, 2021 | 652 | 2021 |
Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation SB Eickhoff, TE Nichols, AR Laird, F Hoffstaedter, K Amunts, PT Fox, ... Neuroimage 137, 70-85, 2016 | 652 | 2016 |
Co-activation patterns distinguish cortical modules, their connectivity and functional differentiation SB Eickhoff, D Bzdok, AR Laird, C Roski, S Caspers, K Zilles, PT Fox Neuroimage 57 (3), 938-949, 2011 | 514 | 2011 |
An investigation of the structural, connectional, and functional subspecialization in the human amygdala D Bzdok, AR Laird, K Zilles, PT Fox, SB Eickhoff Human brain mapping 34 (12), 3247-3266, 2013 | 466 | 2013 |
The role of the right temporoparietal junction in attention and social interaction as revealed by ALE meta-analysis SC Krall, C Rottschy, E Oberwelland, D Bzdok, PT Fox, SB Eickhoff, ... Brain Structure and Function 220, 587-604, 2015 | 404 | 2015 |
An improved neuroanatomical model of the default-mode network reconciles previous neuroimaging and neuropathological findings PN Alves, C Foulon, V Karolis, D Bzdok, DS Margulies, E Volle, ... Nature Communications biology 2 (1), 370, 2019 | 373 | 2019 |
Machine learning: Supervised methods D Bzdok, M Krzywinski, N Altman Nature Methods, 2018 | 365 | 2018 |
Connectivity‐based parcellation: Critique and implications SB Eickhoff, B Thirion, G Varoquaux, D Bzdok Human brain mapping 36 (12), 4771-4792, 2015 | 312 | 2015 |
The neurobiology of social distance D Bzdok, RIM Dunbar Trends in cognitive sciences 24 (9), 717-733, 2020 | 308 | 2020 |
Autism spectrum heterogeneity: fact or artifact? L Mottron, D Bzdok Molecular psychiatry 25 (12), 3178-3185, 2020 | 301 | 2020 |
Characterization of the temporo-parietal junction by combining data-driven parcellation, complementary connectivity analyses, and functional decoding D Bzdok, R Langner, L Schilbach, O Jakobs, C Roski, S Caspers, ... Neuroimage 81, 381-392, 2013 | 286 | 2013 |
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets MA Schulz, BTT Yeo, JT Vogelstein, J Mourao-Miranada, JN Kather, ... Nature Communications 11 (1), 1-15, 2020 | 278* | 2020 |
Introspective minds: using ALE meta-analyses to study commonalities in the neural correlates of emotional processing, social & unconstrained cognition L Schilbach, D Bzdok, B Timmermans, PT Fox, AR Laird, K Vogeley, ... PloS one 7 (2), e30920, 2012 | 277 | 2012 |
Microstructural Parcellation of the Human Cerebral Cortex – From Brodmann's Post-Mortem Map to in vivo Mapping with High-Field Magnetic Resonance Imaging S Geyer, M Weiss, K Reimann, G Lohmann, R Turner Frontiers in human neuroscience 5, 19, 2011 | 268 | 2011 |
Definition and characterization of an extended social-affective default network M Amft, D Bzdok, AR Laird, PT Fox, L Schilbach, SB Eickhoff Brain Structure and Function 220, 1031-1049, 2015 | 262 | 2015 |
ALE meta-analysis on facial judgments of trustworthiness and attractiveness D Bzdok, R Langner, S Caspers, F Kurth, U Habel, K Zilles, A Laird, ... Brain Structure and Function 215, 209-223, 2011 | 251 | 2011 |