2020
DOI: 10.1016/j.neuroimage.2020.116527
|View full text |Cite
|
Sign up to set email alerts
|

Strong health messages increase audience brain coupling

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
26
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
7
1
1

Relationship

2
7

Authors

Journals

citations
Cited by 23 publications
(28 citation statements)
references
References 77 publications
1
26
0
Order By: Relevance
“…An increase in the number of social profiles providing health information was also observed [44]. Electroencephalography inter-subject correlation (EEG-ISC) was improved by an increase in resilient health communication [45]. The people of Wuhan felt great confidence in sharing their views during data collection during the COVID-19 epidemic outbreak quarantine.…”
Section: Covid-19-word Of Mouthmentioning
confidence: 94%
“…An increase in the number of social profiles providing health information was also observed [44]. Electroencephalography inter-subject correlation (EEG-ISC) was improved by an increase in resilient health communication [45]. The people of Wuhan felt great confidence in sharing their views during data collection during the COVID-19 epidemic outbreak quarantine.…”
Section: Covid-19-word Of Mouthmentioning
confidence: 94%
“…Importantly, population-level effects on click-through rates can only emerge if the relevant message—in this case, the banner—can collectively influence a large number of individuals (Imhof et al, 2017 , 2020 ; Grall and Schmälzle, 2020 ). Our strategy to capture brain activity within a smaller sample of current smokers exposed to the same messages probes this collective-level response to messaging.…”
Section: Discussionmentioning
confidence: 99%
“…With this in mind, future research should expand the range of methods used to capture responses to health prevention messages. For instance, Imhof et al ( 2017 , 2020 ) used fMRI and EEG methods to measure message-evoked brain responses towards the same set of health messages and demonstrated the possibility of EEG-informed fMRI analyses. Such a strategy seems feasible for the current design and implementing it in future studies promises several insights: if both methods can tap into the relevant message-evoked processes, they can make measurements more robust and provide cross-validation; if, on the other hand, the methods tap into different processes that are relevant for CTR or other outcomes, then it will be important to tease apart which methods are most sensitive for the specific process.…”
Section: Discussionmentioning
confidence: 99%
“…ISC is a simple yet effective way to reliably extract the shared brain responses to complex naturalistic stimuli across individuals 58 . ISC was originally developed for fMRI data analysis but has also been applied to other neuroimaging modalities such as EEG [94][95][96][97][98] , MEG [99][100][101] .…”
Section: Inter-subject Correlation (Isc)mentioning
confidence: 99%