Cooperating yet distinct brain networks engaged during naturalistic paradigms: A meta-analysis of functional MRI results
Year: 2018
Type: review
Study designs: Systematic Review, Meta-Analysis
Abstract: 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.
Source: Network Neuroscience
DOI: 10.1162/netn_a_00050
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $1,750
Awards: G2234312588, Neuroimaging meta-analytics for addiction: Nodes, networks,and new heuristics, NCS-FO: Integrative Knowledge Modeling in Cognitive Neuroimaging, Exploring the Neural Mechanisms of Physics Learning, OPERATION, SUPPORT AND STRATEGIC ENHANCEMENT OF THE NEUROSCIENCE INFORMATION FRAMEWORK, BrainMap Tracker: Automated Annotation of Brain Mapping Experiments, G573798717, Impact of HIV and cannabis on brain function: Regions, networks, and the connecto, G8724712004, 4/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT FIU
OpenAlex ID: W2949659480
