Latency analysis of resting-state BOLD-fMRI reveals traveling waves in visual cortex linking task-positive and task-negative networks

R. Hindriks*, Mantini R, Gravel N, Deco G

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

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Abstract

Due to the low temporal resolution of BOLD-fMRI, imaging studies on human brain function have almost exclusively focused on instantaneous correlations within the data. Developments in hardware and acquisition protocols, however, are offering data with higher sampling rates that allow investigating the latency structure of BOLD-fMRI data. In this study we describe a method for analyzing the latency structure within BOLD-fMRI data and apply it to resting-state data of 94 participants from the Human Connectome Project. The method shows that task-positive and task-negative networks are integrated through traveling BOLD waves within early visual cortex. The waves are initiated at the periphery of the visual field and propagate towards the fovea. This observation suggests a mechanism for the functional integration of task-positive and task-negative networks, argues for an eccentricity-based view on visual information processing, and contributes to the emerging view that resting-state BOLD-fMRI fluctuations are superpositions of inherently spatiotemporal patterns.

Original languageEnglish
Pages (from-to)259-274
Number of pages16
JournalNeuroImage
Volume200
Early online date13 Jun 2019
DOIs
Publication statusPublished - 15 Oct 2019

Funding

The authors have no financial or non-financial competing interests. R.H. was funded by the European Research Council (Advanced Grant DYSTRUCTURE No. 295129 ) and by the NWO-Wiskundeclusters grant nr. 613.009.105 . G.D. was funded by the Spanish Research Project PSI2016-75688-P (AEI/FEDER, EU), by the European Unions Horizon 2020 Research and Innovation Programme under grant agreements n. 720270 (HBP SGA1) and n. 785907 (HBP SGA2) , and by the Catalan AGAUR Programme 2017 SGR 1545. Nicolas Gravel was supported by the (Chilean) National Commission for Scientific and Technological Research (BECAS CHILE) and the Graduate School for Medical Sciences (GSMS) of the University Medical Center Groningen (UMCG). Data were provided by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research ; and by the McDonnell Center for Systems Neuroscience at Washington University . Appendix A

FundersFunder number
BECAS
Graduate School for Medical Sciences
NWO-Wiskundeclusters613.009.105, PSI2016-75688-P
National Institutes of Health
NIH Blueprint for Neuroscience Research
McDonnell Center for Systems Neuroscience
Seventh Framework Programme295129
European Commission
European Research Council
Comisión Nacional de Investigación Científica y Tecnológica
Agència de Gestió d'Ajuts Universitaris i de Recerca2017 SGR 1545
Universitair Medisch Centrum Groningen
Horizon 2020785907, 720270
European Regional Development Fund
Agencia Estatal de Investigación

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