scholarly journals The Track of Brain Activity during the Observation of TV Commercials with the High-Resolution EEG Technology

2009 ◽  
Vol 2009 ◽  
pp. 1-7 ◽  
Author(s):  
Laura Astolfi ◽  
Giovanni Vecchiato ◽  
Fabrizio De Vico Fallani ◽  
Serenella Salinari ◽  
Febo Cincotti ◽  
...  
Keyword(s):  
High Resolution ◽  
Brain Activity ◽  
Normal Subjects ◽  
Significant Information ◽  
Cortical Areas ◽  
Brodmann Areas ◽  
Tv Commercials ◽  
Tv Commercial ◽  
The Brain ◽  
High Resolution Eeg

We estimate cortical activity in normal subjects during the observation of TV commercials inserted within a movie by using high-resolution EEG techniques. The brain activity was evaluated in both time and frequency domains by solving the associate inverse problem of EEG with the use of realistic head models. In particular, we recover statistically significant information about cortical areas engaged by particular scenes inserted within the TV commercial proposed with respect to the brain activity estimated while watching a documentary. Results obtained in the population investigated suggest that the statistically significant brain activity during the observation of the TV commercial was mainly concentrated in frontoparietal cortical areas, roughly coincident with the Brodmann areas 8, 9, and 7, in the analyzed population.

scholarly journals EEG Analysis of the Brain Activity during the Observation of Commercial, Political, or Public Service Announcements

2010 ◽  
Vol 2010 ◽  
pp. 1-7 ◽  
Author(s):  
Giovanni Vecchiato ◽  
Laura Astolfi ◽  
Alessandro Tabarrini ◽  
Serenella Salinari ◽  
Donatella Mattia ◽  
...  
Keyword(s):  
High Resolution ◽  
Public Service ◽  
Brain Activity ◽  
Video Clip ◽  
Normal Subjects ◽  
Cortical Activity ◽  
Public Service Announcements ◽  
Statistical Techniques ◽  
Swing Voters ◽  
High Resolution Eeg

The use of modern brain imaging techniques could be useful to understand what brain areas are involved in the observation of video clips related to commercial advertising, as well as for the support of political campaigns, and also the areas of Public Service Announcements (PSAs). In this paper we describe the capability of tracking brain activity during the observation of commercials, political spots, and PSAs with advanced high-resolution EEG statistical techniques in time and frequency domains in a group of normal subjects. We analyzed the statistically significant cortical spectral power activity in different frequency bands during the observation of a commercial video clip related to the use of a beer in a group of 13 normal subjects. In addition, a TV speech of the Prime Minister of Italy was analyzed in two groups of swing and “supporter” voters. Results suggested that the cortical activity during the observation of commercial spots could vary consistently across the spot. This fact suggest the possibility to remove the parts of the spot that are not particularly attractive by using those cerebral indexes. The cortical activity during the observation of the political speech indicated a major cortical activity in the supporters group when compared to the swing voters. In this case, it is possible to conclude that the communication proposed has failed to raise attention or interest on swing voters. In conclusions, high-resolution EEG statistical techniques have been proved to able to generate useful insights about the particular fruition of TV messages, related to both commercial as well as political fields.

The study of brain activity during the observation of commercial advertsing by using high resolution EEG techniques

2009 ◽  
Author(s):  
G. Vecchiato ◽  
L. Astolfi ◽  
F. De Vico Fallani ◽  
S. Salinari ◽  
F. Cincotti ◽  
...  
Keyword(s):  
High Resolution ◽  
Brain Activity ◽  
High Resolution Eeg

Time-Varying Cortical Connectivity Estimation from Noninvasive, High-Resolution EEG Recordings

2010 ◽  
Vol 24 (2) ◽  
pp. 83-90 ◽  
Author(s):  
Laura Astolfi ◽  
Febo Cincotti ◽  
Donatella Mattia ◽  
Fabrizio De Vico Fallani ◽  
Giovanni Vecchiato ◽  
...  
Keyword(s):  
High Resolution ◽  
Normal Population ◽  
Control Group ◽  
Time Varying ◽  
Cortical Areas ◽  
Eeg Data ◽  
Connectivity Patterns ◽  
Eeg Recordings ◽  
Parietal Cortices ◽  
High Resolution Eeg

Objective: In this paper, we propose a body of techniques for the estimation of rapidly changing connectivity relationships between EEG signals estimated in cortical areas, based on the use of adaptive multivariate autoregressive modeling (AMVAR) for the estimation of a time-varying partial directed coherence (PDC). This approach allows the observation of rapidly changing influences between the cortical areas during the execution of a task, and does not require the stationarity of the signals. Methods: High resolution EEG data were recorded from a group of spinal cord injured (SCI) patients during the attempt to move a paralyzed limb. These data were compared with the time-varying connectivity patterns estimated in a control group during the real execution of the movement. Connectivity was estimated with the use of realistic head modeling and the linear inverse estimation of the cortical activity in a series of regions of interest by using time-varying PDC. Results: The SCI population involved a different cortical network than those generated by the healthy subjects during the task performance. Such a network differs for the involvement of the parietal cortices, which increases in strength near to the movement imagination onset for the SCI when compared to the normal population. Conclusions: The application of time-varying PDC allows tracking the evolution of the connectivity between cortical areas in the analyzed populations during the proposed tasks. Such details about the temporal evolution of the connectivity patterns estimated cannot be obtained with the application of the standard estimators of connectivity.

scholarly journals YOUR BRAIN ON NARRATION

2018 ◽  
Vol 9 (1) ◽  
Author(s):  
Stefano F. Cappa
Keyword(s):  
Right Hemisphere ◽  
Brain Activity ◽  
Situation Model ◽  
Normal Subjects ◽  
Significant Progress ◽  
Imaging Studies ◽  
Classical Language ◽  
The Right ◽  
Language Areas ◽  
The Brain

The study of the brain mechanisms involved in narrative production and comprehension has made significant progress in the last decade. The paper reviews some of the available evidence, focusing on functional imaging studies aimed to assess brain activity in normal subjects, while they listen to narratives or watching movies. The complex brain networks engaged by these complex tasks extend beyond the classical language areas, by involving the right hemisphere and hippocampal structures. These results provide initial insights into the mechanisms involved in narrative cohesion, situation model construction and distinction/integration of narrative elements.

Neural Basis for Brain Responses to TV Commercials: A High-Resolution EEG Study

2008 ◽  
Vol 16 (6) ◽  
pp. 522-531 ◽  
Author(s):  
L. Astolfi ◽  
F. De Vico Fallani ◽  
F. Cincotti ◽  
D. Mattia ◽  
L. Bianchi ◽  
...  
Keyword(s):  
High Resolution ◽  
Neural Basis ◽  
Brain Responses ◽  
Tv Commercials ◽  
High Resolution Eeg

Brain Mechanisms for Active Vision

Daedalus ◽  
2015 ◽  
Vol 144 (1) ◽  
pp. 10-21 ◽  
Author(s):  
Robert H. Wurtz
Keyword(s):  
Eye Movements ◽  
Visual Field ◽  
High Resolution ◽  
Brain Activity ◽  
Active Vision ◽  
Visual Disturbance ◽  
Critical Function ◽  
Systems Neuroscience ◽  
Neuronal Systems ◽  
The Brain

Active vision refers to the exploration of the visual world with rapid eye movements, or saccades, guided by shifts of visual attention. Saccades perform the critical function of directing the high-resolution fovea of our eyes to any point in the visual field two to three times per second. However, the disadvantage of saccades is that each one disrupts vision, causing significant visual disturbance for which the brain must compensate. Exploring the interaction of vision and eye movements provides the opportunity to study the organization of one of the most complex, yet best-understood, brain systems. Outlining this exploration also illustrates some of the ways in which neuroscientists study neuronal systems in the brain and how they relate this brain activity to behavior. It shows the advantages and limitations of current approaches in systems neuroscience, as well as a glimpse of its potential future.

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