Refine
Year of publication
- 2010 (2) (remove)
Document Type
- Article (1)
- Doctoral Thesis (1)
Language
- English (2)
Has Fulltext
- yes (2)
Is part of the Bibliography
- no (2)
Keywords
Institute
Understanding causal relationships, or effective connectivity, between parts of the brain is of utmost importance because a large part of the brain’s activity is thought to be internally generated and, hence, quantifying stimulus response relationships alone does not fully describe brain dynamics. Past efforts to determine effective connectivity mostly relied on model based approaches such as Granger causality or dynamic causal modeling. Transfer entropy (TE) is an alternative measure of effective connectivity based on information theory. TE does not require a model of the interaction and is inherently non-linear. We investigated the applicability of TE as a metric in a test for effective connectivity to electrophysiological data based on simulations and magnetoencephalography (MEG) recordings in a simple motor task. In particular, we demonstrate that TE improved the detectability of effective connectivity for non-linear interactions, and for sensor level MEG signals where linear methods are hampered by signal-cross-talk due to volume conduction.
The comparison of persons is pervasive in social judgement and human decision making and yet its neural substrate is poorly explored. Using functional magnetic resonance imaging we investigated the brain activities of participants comparing other persons with each other (other vs. other comparison - OOC) and with themselves (self vs. other comparison - SOC) as regards psychological (intelligence) and physical (height) characteristics. We found that the comparison of these two person characteristics differ in their neural activation patterns in the OOC as well as in the SOC with higher activity increases for intelligence than height comparison in several areas in medial frontal and orbitofrontal cortex and posterior cingulate cortex suggesting that their activation scales with the demand on person comparison. The person comparison network strikingly overlaps the one commonly described for the classic theory of mind tasks. We interpret this overlap as indicating perspective taking common to person comparison and theory of mind. Furthermore, we suggest that the neural differences between the SOC and the OOC especially in the dorsal part of the medial frontal cortex rely on the different degree of the self involved in the two types of comparisons. The results additionally suggest that the decision directions of self-relevant comparisons, especially in the intelligence comparison of the SOC, resulted in differences in the activation of the medial frontal cortex, which also relies on differences in the reward anticipation and self-relatedness of these decisions.