Abstract
The link between spatial (where) and temporal (when) aspects of the neural correlates of most psychological phenomena is not clear. Elucidation of this relation, which is crucial to fully understand human brain function, requires integration across multiple brain imaging modalities and cognitive tasks that reliably modulate the engagement of the brain systems of interest. By overcoming the methodological challenges posed by simultaneous recordings, the present report provides proof-of-concept evidence for a novel approach using three complementary imaging modalities: functional magnetic resonance imaging (fMRI), event-related potentials (ERPs), and event-related optical signals (EROS). Using the emotional oddball task, a paradigm that taps into both cognitive and affective aspects of processing, we show the feasibility of capturing converging and complementary measures of brain function that are not currently attainable using traditional unimodal or other multimodal approaches. This opens up unprecedented possibilities to clarify spatiotemporal integration of brain function.
| Original language | English |
|---|---|
| Pages (from-to) | 4102-4121 |
| Number of pages | 20 |
| Journal | Human Brain Mapping |
| Volume | 42 |
| Issue number | 13 |
| Early online date | 23 Jun 2021 |
| DOIs | |
| Publication status | Published - Sept 2021 |
Bibliographical note
Copyright © 2021, The Authors. Human Brain Mapping published by Wiley Periodicals LLC. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.Data Access Statement
The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.Funding
This work was conducted/funded in part at/by the Biomedical Imaging Center of the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana‐Champaign (UIUC‐BI‐BIC). Data collection was supported by funds from UIUC‐Psychology, Campus Research Board, and BI/BIC to F. D. The authors also wish to acknowledge NCRR grant S10‐RR029294 to G. G., NIA grants RF1AG062666 and R01AG059878 to M. F. and G. G, and a Campus Research Board grant to E. L. M. During the preparation of this manuscript, M. M. was supported by Beckman Institute Predoctoral and Postdoctoral Fellowships, provided by the Beckman Foundation, Y. K. was supported by the Honjo International Scholarship Foundation, A. T. S. was supported by the Intramural Research Program, National Institute on Aging, NIH, and F. D. was supported by a Helen Corley Petit Scholarship in Liberal Arts and Sciences and an Emanuel Donchin Professorial Scholarship in Psychology from the University of Illinois. The authors wish to thank Dr. Kathy Low and members of the Dolcos Lab for assisting with data collection. Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana‐Champaign; Campus Research Board, University of Illinois at Urbana‐Champaign; Department of Psychology, University of Illinois at Urbana‐Champaign; Honjo International Scholarship Foundation; National Center for Research Resources, Grant/Award Number: S10‐RR029294; National Institute on Aging, Grant/Award Numbers: R01AG059878, RF1AG062666; National Institute on Aging, Intramural Research Program of the National Institutes of Health; University of Illinois at Urbana‐Champaign Funding information This work was conducted/funded in part at/by the Biomedical Imaging Center of the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign (UIUC-BI-BIC). Data collection was supported by funds from UIUC-Psychology, Campus Research Board, and BI/BIC to F. D. The authors also wish to acknowledge NCRR grant S10-RR029294 to G. G., NIA grants RF1AG062666 and R01AG059878 to M. F. and G. G, and a Campus Research Board grant to E. L. M. During the preparation of this manuscript, M. M. was supported by Beckman Institute Predoctoral and Postdoctoral Fellowships, provided by the Beckman Foundation, Y. K. was supported by the Honjo International Scholarship Foundation, A. T. S. was supported by the Intramural Research Program, National Institute on Aging, NIH, and F. D. was supported by a Helen Corley Petit Scholarship in Liberal Arts and Sciences and an Emanuel Donchin Professorial Scholarship in Psychology from the University of Illinois. The authors wish to thank Dr. Kathy Low and members of the Dolcos Lab for assisting with data collection.
| Funders | Funder number |
|---|---|
| Medical Image Processing Lab, Institute of Bioengineering, Center for Neuroprosthetics Ecole Polytechnique Fédérale de Lausanne Lausanne, VD Switzerland; Department of Radiology and Medical Informatics, Faculty of Medicine University of Geneva, Geneva Geneva Switzerland; CIBM Center for Biomedical Imaging Switzerland | |
| Helen Corley Petit Scholarship in Liberal Arts and Sciences | |
| UIUC-Psychology | |
| National Institutes of Health | |
| National Institute on Aging (NIA) | RF1AG062666, R01AG059878 |
| National Center for Research Resources | S10RR029294 |
| Arnold and Mabel Beckman Foundation | |
| Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana-Champaign | |
| University of Illinois System | |
| Campus Research Board | |
| Honjo International Scholarship Foundation |
Keywords
- data fusion
- event-related optical signal (EROS)
- event-related potentials (ERPs)
- functional magnetic resonance imaging (fMRI)
- multimodal neuroimaging
- simultaneous recording