Spatio-temporal Dynamics of Images with Emotional Bivalence

At present there is a growing interest in studying emotions in the brain. However, although in the latest years there have been numerous studies, little is known about their temporal dynamics. Techniques such as fMRI or PET have very good spatial resolution but poor temporal resolution and vice-versa in the case of EEG. In this study we propose to use EEG to gain insight into the spatiotemporal dynamics of emotions processing with a better time resolution. We conducted an experiment in which binary classification (like / dislike) of standardized images was performed. Topographic changes in EEG activity were examined in the time domain. In the spatial dimension, we used a rotating dipole for the spatial location and determination of Cartesian coordinates (x, y and z). Our results showed a temporal window (424-474msec) with a significant difference which involved a lateralization (left to very positive stimuli and right to very negative stimuli) even for neutral stimuli. These results support the lateralization of brain activity during processing of emotions.

[1]  René S. Kahn,et al.  Functional differences in emotion processing during adolescence and early adulthood , 2014, NeuroImage.

[2]  Ronald M. Aarts,et al.  A Survey of Stimulation Methods Used in SSVEP-Based BCIs , 2010, Comput. Intell. Neurosci..

[3]  H. Jasper,et al.  The ten-twenty electrode system of the International Federation. The International Federation of Clinical Neurophysiology. , 1999, Electroencephalography and clinical neurophysiology. Supplement.

[4]  Franco Cauda,et al.  Temporal and spatial neural dynamics in the perception of basic emotions from complex scenes. , 2014, Social cognitive and affective neuroscience.

[5]  R. C. Oldfield The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.

[6]  Leontios J. Hadjileontiadis,et al.  A Novel Emotion Elicitation Index Using Frontal Brain Asymmetry for Enhanced EEG-Based Emotion Recognition , 2011, IEEE Transactions on Information Technology in Biomedicine.

[7]  N. Fox,et al.  Asymmetrical brain activity discriminates between positive and negative affective stimuli in human infants. , 1982, Science.

[8]  John J. B. Allen,et al.  Anger and frontal brain activity: EEG asymmetry consistent with approach motivation despite negative affective valence. , 1998, Journal of personality and social psychology.

[9]  Rosalind W. Picard Affective Computing , 1997 .

[10]  P. Lang International Affective Picture System (IAPS) : Technical Manual and Affective Ratings , 1995 .

[11]  Wolfgang Skrandies,et al.  Global field power and topographic similarity , 2005, Brain Topography.

[12]  P. Ekman,et al.  Approach-withdrawal and cerebral asymmetry: emotional expression and brain physiology. I. , 1990, Journal of personality and social psychology.

[13]  M Wagner,et al.  Improving source reconstructions by combining bioelectric and biomagnetic data. , 1998, Electroencephalography and clinical neurophysiology.

[14]  P. McGuire,et al.  Laterality effect on emotional faces processing: ALE meta-analysis of evidence , 2009, Neuroscience Letters.

[15]  Bettina Sorger,et al.  Real-Time Self-Regulation of Emotion Networks in Patients with Depression , 2012, PloS one.

[16]  Andreas Rosenblad B. F. J. Manly: Randomization, bootstrap and Monte Carlo methods in biology, third edition , 2009, Comput. Stat..

[17]  Jasna Martinovic,et al.  Electrophysiological Responses to Alcohol Cues Are Not Associated with Pavlovian-to-Instrumental Transfer in Social Drinkers , 2014, PloS one.

[18]  Fabrizio Esposito,et al.  Realistic and Spherical Head Modeling for EEG Forward Problem Solution: A Comparative Cortex-Based Analysis , 2010, Comput. Intell. Neurosci..

[19]  M. Fanselow Neural organization of the defensive behavior system responsible for fear , 1994, Psychonomic bulletin & review.

[20]  M. Bradley,et al.  Affective picture processing: the late positive potential is modulated by motivational relevance. , 2000, Psychophysiology.

[21]  Denis Brunet,et al.  Topographic ERP Analyses: A Step-by-Step Tutorial Review , 2008, Brain Topography.

[22]  R. Davidson,et al.  Anterior electrophysiological asymmetries, emotion, and depression: conceptual and methodological conundrums. , 1998, Psychophysiology.

[23]  Reza Fazel-Rezai,et al.  Detecting Determinism in EEG Signals using Principal Component Analysis and Surrogate Data Testing , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[24]  N. Costes,et al.  Emotional Responses to Pleasant and Unpleasant Olfactory, Visual, and Auditory Stimuli: a Positron Emission Tomography Study , 2000, The Journal of Neuroscience.