Principles of intensive human neuroimaging

Eline R Kupers; Tomas Knapen; Elisha P Merriam; Kendrick N Kay

doi:10.1016/j.tins.2024.09.011

Principles of intensive human neuroimaging

Eline R Kupers, Tomas Knapen, Elisha P Merriam, Kendrick N Kay

Research output: Contribution to journal/periodical › Article › Scientific › peer-review

4 Citations (Scopus)

Abstract

The rise of large, publicly shared functional magnetic resonance imaging (fMRI) data sets in human neuroscience has focused on acquiring either a few hours of data on many individuals ('wide' fMRI) or many hours of data on a few individuals ('deep' fMRI). In this opinion article, we highlight an emerging approach within deep fMRI, which we refer to as 'intensive' fMRI: one that strives for extensive sampling of cognitive phenomena to support computational modeling and detailed investigation of brain function at the single voxel level. We discuss the fundamental principles, trade-offs, and practical considerations of intensive fMRI. We also emphasize that intensive fMRI does not simply mean collecting more data: it requires careful design of experiments to enable a rich hypothesis space, optimizing data quality, and strategically curating public resources to maximize community impact.

Original language	English
Pages (from-to)	856-864
Journal	Trends in Neurosciences
Volume	47
DOIs	https://doi.org/10.1016/j.tins.2024.09.011
Publication status	Published - 24 Oct 2024

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10.1016/j.tins.2024.09.011

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title = "Principles of intensive human neuroimaging",

abstract = "The rise of large, publicly shared functional magnetic resonance imaging (fMRI) data sets in human neuroscience has focused on acquiring either a few hours of data on many individuals ('wide' fMRI) or many hours of data on a few individuals ('deep' fMRI). In this opinion article, we highlight an emerging approach within deep fMRI, which we refer to as 'intensive' fMRI: one that strives for extensive sampling of cognitive phenomena to support computational modeling and detailed investigation of brain function at the single voxel level. We discuss the fundamental principles, trade-offs, and practical considerations of intensive fMRI. We also emphasize that intensive fMRI does not simply mean collecting more data: it requires careful design of experiments to enable a rich hypothesis space, optimizing data quality, and strategically curating public resources to maximize community impact.",

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AU - Kay, Kendrick N

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