Discrimination of emotional states from scalp- and intracranial EEG using multiscale Rényi entropy

Autor: Marc M. Van Hulle, Theerasak Chanwimalueang, Danilo P. Mandic, Yelena Tonoyan
Přispěvatelé: Engineering & Physical Science Research Council (EPSRC), Engineering & Physical Science Research Council (E
Jazyk: angličtina
Rok vydání: 2017
Předmět:
DYNAMICS
Male
Physiology
Entropy
Emotions
Social Sciences
lcsh:Medicine
Electrode Recording
Electroencephalography
Audiology
Diagnostic Radiology
0302 clinical medicine
Medicine and Health Sciences
Psychology
lcsh:Science
Membrane Electrophysiology
Clinical Neurophysiology
Brain Mapping
Multidisciplinary
medicine.diagnostic_test
Physics
Applied Mathematics
Simulation and Modeling
Radiology and Imaging
05 social sciences
Brain
Middle Aged
Amygdala
Magnetic Resonance Imaging
Electrophysiology
Multidisciplinary Sciences
medicine.anatomical_structure
Bioassays and Physiological Analysis
Brain Electrophysiology
Anesthesia
Physical Sciences
Thermodynamics
Science & Technology - Other Topics
Female
Anatomy
Algorithms
ERP
Research Article
Adult
medicine.medical_specialty
Imaging Techniques
General Science & Technology
Neurophysiology
Neuroimaging
Research and Analysis Methods
050105 experimental psychology
Rényi entropy
03 medical and health sciences
Source reconstruction
Young Adult
TIME-SERIES ANALYSIS
Diagnostic Medicine
MD Multidisciplinary
medicine
Humans
0501 psychology and cognitive sciences
SAMPLE ENTROPY
Time range
Electrodes
HUMAN AMYGDALA
Aged
Science & Technology
COMPLEXITY
Scalp
IDENTIFICATION
Electrophysiological Techniques
lcsh:R
Biology and Life Sciences
ELECTRICAL-STIMULATION
Scalp eeg
Intracranial eeg
TEMPORAL-LOBE
lcsh:Q
Clinical Medicine
Head
030217 neurology & neurosurgery
Mathematics
Neuroscience
RESPONSES
Zdroj: PLoS ONE, Vol 12, Iss 11, p e0186916 (2017)
PLoS ONE
ISSN: 1932-6203
Popis: A data-adaptive, multiscale version of Rényi's quadratic entropy (RQE) is introduced for emotional state discrimination from EEG recordings. The algorithm is applied to scalp EEG recordings of 30 participants watching 4 emotionally-charged video clips taken from a validated public database. Krippendorff's inter-rater statistic reveals that multiscale RQE of the mid-frontal scalp electrodes best discriminates between five emotional states. Multiscale RQE is also applied to joint scalp EEG, amygdala- and occipital pole intracranial recordings of an implanted patient watching a neutral and an emotionally charged video clip. Unlike for the neutral video clip, the RQEs of the mid-frontal scalp electrodes and the amygdala-implanted electrodes are observed to coincide in the time range where the crux of the emotionally-charged video clip is revealed. In addition, also during this time range, phase synchrony between the amygdala and mid-frontal recordings is maximal, as well as our 30 participants' inter-rater agreement on the same video clip. A source reconstruction exercise using intracranial recordings supports our assertion that amygdala could contribute to mid-frontal scalp EEG. On the contrary, no such contribution was observed for the occipital pole's intracranial recordings. Our results suggest that emotional states discriminated from mid-frontal scalp EEG are likely to be mirrored by differences in amygdala activations in particular when recorded in response to emotionally-charged scenes. ispartof: PLoS One vol:12 issue:11 ispartof: location:United States status: published
Databáze: OpenAIRE