Segregation of Emotional Function in Subcortical Structures: MEG Evidence View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014

AUTHORS

C. Styliadis , A. A. Ioannides , P. D. Bamidis , C. Papadelis

ABSTRACT

Arousal and valence are the primary dimensions of human emotion. However, the degree to which these dimensions correlate to complex subcortical structures (i.e. amygdala, cerebellum) that are anatomically homogeneous is still elusive. Magneto-encephalography (MEG) recordings were performed on 12 healthy individuals exposed to affective stimuli from the International Affective Picture System (IAPS) collection using a 2 (Valence levels) x 2 (Arousal levels) design. Source power was estimated using a beamformer within 1-30 and 30-100 Hz bands. Activations referring to the subcortical sub-regions were defined through probabilistic cytoarchitectonic maps (PCMs). Within the 1-30 Hz band, right laterobasal (LB) amygdala activity mediates negative valence (elicited by unpleasant stimuli) while left centromedial (CM) activity correlates to the interaction of valence by arousal (arousing pleasant stimuli). Within the 30-100 Hz band, cerebellar VIIIa lobule of the Vermis and left hemispheric VIIa Crus II lobule activity mediate high arousal while left hemispheric V lobule correlates to the interaction of valence by arousal (arousing pleasant stimuli). Our results support that distinct sub-regional subcortical activity responds specifically to valence and arousal dimensions as well as combinations of the two, pronouncing the sophisticated nature of emotion. Given the anatomical interconnections between amygdala and cerebellum, future studies may focus on the interplay of their specific sub-regions. More... »

PAGES

403-406

Book

TITLE

XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013

ISBN

978-3-319-00845-5
978-3-319-00846-2

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-00846-2_100

DOI

http://dx.doi.org/10.1007/978-3-319-00846-2_100

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1043692104


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