Title
Functional connectivity from EEG signals during perceiving pleasant and unpleasant odors
Abstract
The olfactory sense is strongly related to memory and emotional processes. Studies on the effects of odor perception from brain activity have been conducted by using different neuro-imaging techniques. In this paper, we analyse electroencephalog-raphy (EEG) of 23 subjects during perceiving pleasant and unpleasant odor stimuli. We describe the construction of brain functional connectivity networks measured by most commonly used models. We discuss the network-based features of functional connectivity, and design classifiers by applying different functional connectivity network features. Finally, we show that pleasant and unpleasant emotions from olfactory perceptions can be better classified if we see the brain as a nonlinear small-world network. By extracting appropriate features from functional connectivity networks, we manage to classify pleasant and unpleasant olfactory perceptions with an average Kappa value of 0.11 ± 0.17, which is significantly non-random.
Year
DOI
Venue
2015
10.1109/ACII.2015.7344683
ACII '15 Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction (ACII)
Keywords
Field
DocType
olfactory,regression analysis,electroencephalography,feature extraction
Social psychology,Olfaction,Communication,Odor,Psychology,Brain activity and meditation,Stimulus (physiology),Perception,Electroencephalography
Conference
ISSN
Citations 
PageRank 
2156-8103
0
0.34
References 
Authors
11
3
Name
Order
Citations
PageRank
he xu143.46
Eleni Kroupi21016.90
Touradj Ebrahimi34327322.13