Akademik Veri Yönetim Sistemi
45. ULUSAL FİZYOLOJİ KONGRESİ, İzmir, Türkiye, 31 Ekim - 03 Kasım 2019
http://www.tfbd.org.tr/yuklemeler/45_fizyoloji_kongresi_ozet_kitabi.pdf
AIM: “Emotion regulation” term describes the ability to unconsciously manage the emotions in daily life. Since, this term can be considered as a sub-type of emotion-cognition interaction, researchers discuss how the neural systems underlying the particular emotion regulation strategy exist.The aim of this study is to show the relations between neurocortical spontaneous activities and emotion regulation strategies in terms of principal components extracted from EEG epochs in both eyes-opened (EO) and eyes-closed (EC) states.
METHODS: 64-channel surface EEG series, downloaded from publicly available dataset so called LEMON, were collected from females aged between 20-65 years old in EO and EC states. Principal Components (PCs) of EEG epochs of 2 s were estimated from both EC and EO recordings. Then, two groups who use two emotional strategies so named rumination and distraction with high scores and low scores were compared to each other in both statistical tests and deep learning classifications in terms of PCs.
RESULTS: Significant statistical differences (p<0.5) were obtained between two groups in both EO and EC states mostly at occipito-parietal regions. In particular, frontal (Fp2, F2, F6, FT8, AF8), central (C1, C3, C4, C6), parietal (CP2, CP5, P7, P8, PO9) differences were obtained in EO state (p<0.5), while both frontal (F3, F4, F5, F6, F7, AF3, AF4, AF7, FC4, FT7) and occipito-parietal (O2, O7, Oz, CP1, CP2, CP6, Pz, P2, P5, P6, PO4, PO7) differences were obtained for EC state (p<0.5) in groups. When the PCs estimated from EEG epochs in both EO and EC states were combined in a single feature set, the groups were classified by using deep learning algorithms with high accuracy of 96.84%.
CONCLUSION: Findings reveal that the regulation of emotion is controlled by interactions between regions within the amygdala–frontal neuronal circuitry. Probably, emotion
regulation strategies can be determined by analyzing EEG measurements in adults.