Gradients of Brain Organization: Smooth Sailing from Methods Development to User Community.

Autor: Royer J; Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada. jessica.royer@mail.mcgill.ca., Paquola C; Institute for Neuroscience and Medicine (INM-7), Forschungszentrum Jülich, Jülich, Germany., Valk SL; Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany., Kirschner M; Division of Adult Psychiatry, Department of Psychiatry, University Hospitals of Geneva, Thonex, Switzerland., Hong SJ; Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea.; Center for the Developing Brain, Child Mind Institute, New York, USA.; Department of Biomedical Engineering, Sungkyunkwan University, Suwon, South Korea., Park BY; Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea.; Department of Data Science, Inha University, Incheon, South Korea.; Department of Statistics and Data Science, Inha University, Incheon, South Korea., Bethlehem RAI; Department of Psychology, University of Cambridge, Cambridge, UK., Leech R; Centre for Neuroimaging Science, King's College London, London, UK., Yeo BTT; Centre for Sleep & Cognition & Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore.; Institute for Health & Institute for Digital Medicine, National University of Singapore, Singapore, Singapore.; Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore, Singapore.; Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA., Jefferies E; Department of Psychology, University of York, York, UK., Smallwood J; Department of Psychology, Queens University, Kingston, ON, Canada., Margulies D; Integrative Neuroscience and Cognition Center (UMR 8002), Centre National de la Recherche Scientifique (CNRS), Université de Paris, Paris, France., Bernhardt BC; Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada.
Jazyk: angličtina
Zdroj: Neuroinformatics [Neuroinformatics] 2024 Oct; Vol. 22 (4), pp. 623-634. Date of Electronic Publication: 2024 Apr 03.
DOI: 10.1007/s12021-024-09660-y
Abstrakt: Multimodal neuroimaging grants a powerful in vivo window into the structure and function of the human brain. Recent methodological and conceptual advances have enabled investigations of the interplay between large-scale spatial trends - or gradients - in brain structure and function, offering a framework to unify principles of brain organization across multiple scales. Strong community enthusiasm for these techniques has been instrumental in their widespread adoption and implementation to answer key questions in neuroscience. Following a brief review of current literature on this framework, this perspective paper will highlight how pragmatic steps aiming to make gradient methods more accessible to the community propelled these techniques to the forefront of neuroscientific inquiry. More specifically, we will emphasize how interest for gradient methods was catalyzed by data sharing, open-source software development, as well as the organization of dedicated workshops led by a diverse team of early career researchers. To this end, we argue that the growing excitement for brain gradients is the result of coordinated and consistent efforts to build an inclusive community and can serve as a case in point for future innovations and conceptual advances in neuroinformatics. We close this perspective paper by discussing challenges for the continuous refinement of neuroscientific theory, methodological innovation, and real-world translation to maintain our collective progress towards integrated models of brain organization.
Competing Interests: Declarations. Competing Interests: The authors declare no competing interests.
(© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
Databáze: MEDLINE
Externí odkaz: