Network NeuroscienceNeurosciencePeer-reviewed journal article
Intermittent brain network reconfigurations and the resistance to social media influence
Ítalo’Ivo Lima Dias PintoiD, Nuttida RungratsameetaweemanaiD, Kristen FlahertyiD, Aditi Periyannan, Amir H. MeghdadiiD, Christian RichardiD, Chris BerkaiD, Kanika BansaliD, Javier O. GarciaiD
Abstract
Since their development, social media has grown as a source of information and has a significant impact on opinion formation. Individuals interact with others and content via social media platforms in a variety of ways but it remains unclear how decision making and associated neural processes are impacted by the online sharing of informational content, from factual to fabricated. Here, we use EEG to estimate dynamic reconfigurations of brain networks and probe the neural changes underlying opinion change (or formation) within individuals interacting with a simulated social media platform. Our findings indicate that the individuals who changed their opinions are characterized by less frequent network reconfigurations while those who did not change their opinions tend to have more flexible brain networks with frequent reconfigurations. The nature of these frequent network configurations suggests a fundamentally different thought process between intervals in which individuals are easily influenced by social media and those in which they are not. We also show that these reconfigurations are distinct to the brain dynamics during an in-person discussion with strangers on the same content. Together, these findings suggest that brain network reconfigurations may not only be diagnostic to the informational context but also the underlying opinion formation. Author SummaryDistinctive neural underpinnings of opinion formation and change during in-person and online social interactions are not well understood. Here, we analyze EEG recordings of the participants interacting with a simulated social media platform and during an in-person discussion using a network-based analysis approach. We show that the structure of network reconfigurations during these interactions is diagnostic of the opinion change and the context in which information was received.
- organism: human
- assay: electronic health records
- research focus: cell type annotation
- research focus: clustering
- research focus: spatial domain detection
- approach: statistical model
- approach: experimental assay
- Citations
- 10
- FWCI
- 0.85
- Field percentile
- top 31%
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