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Proof‐of‐concept evidence for trimodal simultaneous investigation of human brain function
Author(s) -
Moore Matthew,
Maclin Edward L.,
Iordan Alexandru D.,
Katsumi Yuta,
Larsen Ryan J.,
Bagshaw Andrew P.,
Mayhew Stephen,
Shafer Andrea T.,
Sutton Bradley P.,
Fabiani Monica,
Gratton Gabriele,
Dolcos Florin
Publication year - 2021
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.25541
Subject(s) - modalities , functional magnetic resonance imaging , cognition , psychology , brain activity and meditation , brain function , neuroscience , function (biology) , neuroimaging , oddball paradigm , cognitive science , human brain , brain mapping , event related potential , proof of concept , event (particle physics) , electroencephalography , cognitive psychology , computer science , social science , evolutionary biology , sociology , biology , operating system , physics , quantum mechanics
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.

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