“Brain Is to Thought as Stomach Is to ??”: Investigating the Role of Rostrolateral Prefrontal Cortex in Relational Reasoning

2008 ◽  
Vol 20 (4) ◽  
pp. 682-693 ◽  
Author(s):  
Carter Wendelken ◽  
Denis Nakhabenko ◽  
Sarah E. Donohue ◽  
Cameron S. Carter ◽  
Silvia A. Bunge

Brain imaging studies suggest that the rostrolateral prefrontal cortex (RLPFC), is involved in relational reasoning. Functional magnetic resonance imaging (fMRI) studies involving Raven's Progressive Matrices or verbal propositional analogies indicate that the RLPFC is engaged by tasks that require integration across multiple relational structures. Several studies have shown that the RLPFC is more active when people must evaluate an analogy (e.g., Is shoe to foot as glove is to hand?) than when they must simply evaluate two individual semantic relationships, consistent with the hypothesis that this region is important for relational integration. The current fMRI investigation further explores the role of the RLPFC in reasoning and relational integration by comparing RLPFC activation across four different propositional analogy conditions. Each of the four conditions required either relation completion (e.g., Shoe is to foot as glove is to WHAT? → “hand”) or relation comparison (e.g., Is shoe to foot as glove is to hand? → “yes”). The RLPFC was engaged more strongly by the comparison subtask relative to completion, suggesting that the RLPFC is particularly involved in comparing relational structures.

2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
S. Frangou

Current models for mood disorders and particularly bipolar disorder focus on increaesed activation within the limbic system coupled with reduced inhibitory control from the prefrontal cortex. This presentation will focus on functional magnetic resonance imaging studies that highlight limbic-prefrontal interactions in Mood Disorders and on the potential effect of antidepressants and mood stablisers on these neural networks.


2020 ◽  
Author(s):  
Karita E. Ojala ◽  
Athina Tzovara ◽  
Benedikt A. Poser ◽  
Antoine Lutti ◽  
Dominik R. Bach

AbstractLearning to predict threat is important for survival. Such learning may be driven by differences between expected and encountered outcomes, termed prediction errors (PEs). While PEs are crucial for reward learning, the role of putative PE signals in aversive learning is less clear. Here, we used functional magnetic resonance imaging in humans to investigate neural PE signals. Four cues, each with a different probability of being followed by an aversive outcome, were presented multiple times. We found that neural activity only at omission - but not at occurrence - of predicted threat related to PEs in the medial prefrontal cortex. More expected omission was associated with higher neural activity. In no brain region did neural activity fulfill necessary computational criteria for full signed PE representation. Our result suggests that, different from reward learning, aversive learning may not be primarily driven by PE signals in one single brain region.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Yunqi Bu ◽  
Johannes Lederer

Abstract Graphical models such as brain connectomes derived from functional magnetic resonance imaging (fMRI) data are considered a prime gateway to understanding network-type processes. We show, however, that standard methods for graphical modeling can fail to provide accurate graph recovery even with optimal tuning and large sample sizes. We attempt to solve this problem by leveraging information that is often readily available in practice but neglected, such as the spatial positions of the measurements. This information is incorporated into the tuning parameter of neighborhood selection, for example, in the form of pairwise distances. Our approach is computationally convenient and efficient, carries a clear Bayesian interpretation, and improves standard methods in terms of statistical stability. Applied to data about Alzheimer’s disease, our approach allows us to highlight the central role of lobes in the connectivity structure of the brain and to identify an increased connectivity within the cerebellum for Alzheimer’s patients compared to other subjects.


2005 ◽  
Vol 24 (4) ◽  
pp. 284-290 ◽  
Author(s):  
David F. Abbott ◽  
Helen I. Opdam ◽  
Regula S. Briellmann ◽  
Graeme D. Jackson

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