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 language | English |
|---|---|
| Pages (from-to) | 259-274 |
| Number of pages | 16 |
| Journal | NeuroImage |
| Volume | 200 |
| Early online date | 13 Jun 2019 |
| DOIs | |
| Publication status | Published - 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
| Funders | Funder number |
|---|---|
| BECAS | |
| Graduate School for Medical Sciences | |
| NWO-Wiskundeclusters | 613.009.105, PSI2016-75688-P |
| National Institutes of Health | |
| NIH Blueprint for Neuroscience Research | |
| McDonnell Center for Systems Neuroscience | |
| Seventh Framework Programme | 295129 |
| European Commission | |
| European Research Council | |
| Comisión Nacional de Investigación Científica y Tecnológica | |
| Agència de Gestió d'Ajuts Universitaris i de Recerca | 2017 SGR 1545 |
| Universitair Medisch Centrum Groningen | |
| Horizon 2020 | 785907, 720270 |
| European Regional Development Fund | |
| Agencia Estatal de Investigación |