TY - JOUR
T1 - Elucidating relations between fMRI, ECoG, and EEG through a common natural stimulus
AU - Haufe, Stefan
AU - DeGuzman, Paul
AU - Henin, Simon
AU - Arcaro, Michael
AU - Honey, Christopher J.
AU - Hasson, Uri
AU - Parra, Lucas C.
N1 - Funding Information:
SH was supported by a Marie Curie individual International Outgoing Fellowship (grant No. PIOF-GA-2013-625991 ) within the 7th European Community Framework Programme. PD, LCP, and SH were supported by Defense Advanced Research Projects Agency (DARPA) contracts W31P4Q-13-C-0038 and W911NF-14-1-0157 . UH, CJH and LCP acknowledge support from the National Institutes of Health (NIH, 1DP1HD091948-01 award to UH, MH111439-01 subaward to CJH, R01-NS095123 and R01MH111439 awards to LCP). CJH further gratefully acknowledges a Research Fellowship awarded by the Sloan Foundation .
Publisher Copyright:
© 2018 Elsevier Inc.
PY - 2018/10/1
Y1 - 2018/10/1
N2 - Human brain mapping relies heavily on fMRI, ECoG and EEG, which capture different physiological signals. Relationships between these signals have been established in the context of specific tasks or during resting state, often using spatially confined concurrent recordings in animals. But it is not certain whether these correlations generalize to other contexts relevant for human cognitive neuroscience. Here, we address the case of complex naturalistic stimuli and ask two basic questions. First, how reliable are the responses evoked by a naturalistic audio-visual stimulus in each of these imaging methods, and second, how similar are stimulus-related responses across methods? To this end, we investigated a wide range of brain regions and frequency bands. We presented the same movie clip twice to three different cohorts of subjects (NEEG = 45, NfMRI = 11, NECoG = 5) and assessed stimulus-driven correlations across viewings and between imaging methods, thereby ruling out task-irrelevant confounds. All three imaging methods had similar repeat-reliability across viewings when fMRI and EEG data were averaged across subjects, highlighting the potential to achieve large signal-to-noise ratio by leveraging large sample sizes. The fMRI signal correlated positively with high-frequency ECoG power across multiple task-related cortical structures but positively with low-frequency EEG and ECoG power. In contrast to previous studies, these correlations were as strong for low-frequency as for high frequency ECoG. We also observed links between fMRI and infra-slow EEG voltage fluctuations. These results extend previous findings to the case of natural stimulus processing.
AB - Human brain mapping relies heavily on fMRI, ECoG and EEG, which capture different physiological signals. Relationships between these signals have been established in the context of specific tasks or during resting state, often using spatially confined concurrent recordings in animals. But it is not certain whether these correlations generalize to other contexts relevant for human cognitive neuroscience. Here, we address the case of complex naturalistic stimuli and ask two basic questions. First, how reliable are the responses evoked by a naturalistic audio-visual stimulus in each of these imaging methods, and second, how similar are stimulus-related responses across methods? To this end, we investigated a wide range of brain regions and frequency bands. We presented the same movie clip twice to three different cohorts of subjects (NEEG = 45, NfMRI = 11, NECoG = 5) and assessed stimulus-driven correlations across viewings and between imaging methods, thereby ruling out task-irrelevant confounds. All three imaging methods had similar repeat-reliability across viewings when fMRI and EEG data were averaged across subjects, highlighting the potential to achieve large signal-to-noise ratio by leveraging large sample sizes. The fMRI signal correlated positively with high-frequency ECoG power across multiple task-related cortical structures but positively with low-frequency EEG and ECoG power. In contrast to previous studies, these correlations were as strong for low-frequency as for high frequency ECoG. We also observed links between fMRI and infra-slow EEG voltage fluctuations. These results extend previous findings to the case of natural stimulus processing.
KW - ECoG
KW - EEG
KW - Inter-method correlation
KW - Repeat-reliability
KW - fMRI
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U2 - 10.1016/j.neuroimage.2018.06.016
DO - 10.1016/j.neuroimage.2018.06.016
M3 - Article
C2 - 29902585
AN - SCOPUS:85048791676
SN - 1053-8119
VL - 179
SP - 79
EP - 91
JO - NeuroImage
JF - NeuroImage
ER -