Principles of intensive human neuroimaging

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

Onderzoeksoutput: Bijdrage aan wetenschappelijk tijdschrift/periodieke uitgaveArtikelWetenschappelijkpeer review

4 Citaten (Scopus)

Samenvatting

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.

Originele taal-2Engels
Pagina's (van-tot)856-864
TijdschriftTrends in Neurosciences
Volume47
DOI's
StatusGepubliceerd - 24 okt. 2024

Vingerafdruk

Duik in de onderzoeksthema's van 'Principles of intensive human neuroimaging'. Samen vormen ze een unieke vingerafdruk.

Citeer dit