RT Journal Article
SR Electronic
T1 Cooperating yet distinct brain networks engaged during naturalistic paradigms: A meta-analysis of functional MRI results
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 165951
DO 10.1101/165951
A1 Katherine L. Bottenhorn
A1 Jessica S. Flannery
A1 Emily R. Boeving
A1 Michael C. Riedel
A1 Simon B. Eickhoff
A1 Matthew T. Sutherland
A1 Angela R. Laird
YR 2018
UL http://biorxiv.org/content/early/2018/01/15/165951.abstract
AB Cognitive processes do not occur by pure insertion and instead depend on the full complement of co-occurring mental processes, including perceptual and motor functions. As such, there is limited ecological validity to human neuroimaging experiments that use highly controlled tasks to isolate mental processes of interest. However, a growing literature shows how dynamic, interactive tasks have allowed researchers to study cognition as it more naturally occurs. Collective analysis across such neuroimaging experiments may answer broader questions regarding how naturalistic cognition is biologically distributed throughout the brain. We applied an unbiased, data-driven, meta-analytic approach that uses k-means clustering to identify core brain networks engaged across the naturalistic functional neuroimaging literature. Functional decoding allowed us to, then, delineate how information is distributed between these networks throughout the execution of dynamical cognition in realistic settings. This analysis revealed six recurrent patterns of brain activation, representing sensory, domain-specific, and attentional neural networks that support the cognitive demands of naturalistic paradigms. Though gaps in the literature remain, these results suggest that naturalistic fMRI paradigms recruit a common set of networks that that allow both separate processing of different streams of information and integration of relevant information to enable flexible cognition and complex behavior.