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There is now increasing momentum in data sharing, open access, and data collection consortia that build richly annotated "big data" repositories for brain and behavior. This unprecedented data setting creates a rapidly growing potential to provide new answers to old questions on human brain organization and its disturbances in brain disease. Dr. Bzdok will take the opportunity to explore, formalize, and predict brain phenotypes of hidden population variation by capitalising on heterogeneous data sources to tackle open questions in systems neuroscience in a way that also paves new ways for precision medicine in brain health.
His research group is dedicated to such interdisciplinary challenges in a domain-agnostic approach (especially high- but also low-level cognitive processes) leveraging several recently emerged population datasets (such as UK Biobank, HCP, CamCAN, ABCD) across levels of observation (brain structure and function, consequences from brain lesion, or common-variant genetics) using a broad toolkit of bioinformatic methods (machine-learning, high-dimensional statistics, and probabilistic Bayesian hierarchical modeling).
There is now increasing momentum in data sharing, open access, and data collection consortia that build richly annotated "big data" repositories for brain and behavior. This unprecedented data setting creates a rapidly growing potential to provide new answers to old questions on human brain organization and its disturbances in brain disease. Dr. Bzdok will take the opportunity to explore, formalize, and predict brain phenotypes of hidden population variation by capitalising on heterogeneous data sources to tackle open questions in systems neuroscience in a way that also paves new ways for precision medicine in brain health.
His research group is dedicated to such interdisciplinary challenges in a domain-agnostic approach (especially high- but also low-level cognitive processes) leveraging several recently emerged population datasets (such as UK Biobank, HCP, CamCAN, ABCD) across levels of observation (brain structure and function, consequences from brain lesion, or common-variant genetics) using a broad toolkit of bioinformatic methods (machine-learning, high-dimensional statistics, and probabilistic Bayesian hierarchical modeling).
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论文共 273 篇作者统计合作学者相似作者
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Scientific Reportsno. 1 (2024): 1-1
Robert Kohler,Sarah Lichenstein, Ruu Harn Cheng, Avram Holmes,Danilo Bzdok,Godfrey Pearlson,Sarah Yip
Biological Psychiatryno. 10 (2024): S303
Jakub Kopal,Kuldeep Kumar,Kimia Shafighi, Karin Saltoun,Claudia Modenato, Clara A. Moreau,Guillaume Huguet, Martineau Jean-Louis,Charles-Olivier Martin, Zohra Saci,Nadine Younis, Elise Douard,
Nature Communicationsno. 1 (2024): 1-19
Leon Qi Rong Ooi,Csaba Orban,Thomas E Nichols,Shaoshi Zhang, Trevor Wei Kiat Tan,Ru Kong,Scott Marek,Nico U F Dosenbach,Timothy Laumann,Evan M Gordon, Juan Helen Zhou,Danilo Bzdok,
bioRxiv : the preprint server for biology (2024)
Neuronno. 5 (2024): 698-717
Nature Communicationsno. 1 (2024): 1-1
Zilong Wang,Joern Diedrichsen,Karin Saltoun, Christopher J Steele, Sheeba Rani Arnold-Anteraper,B.T. Thomas Yeo,Jeremy Schmahmann,Danilo Bzdok
biorxiv(2024)
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