Common neural coding across domains of decision making identified by meta-analysis
-
1
Indian Institute of Technology, Gandhinagar, Center for Cognitive Science, India
Everyday life involves decision making situations of various kinds. Decision making research so far has been investigated separately in the domains of perceptual, value-based, and social domains. One view is that we represent various alternatives through their subjective values. Accordingly, the neural substrates of decision making would involve a common circuit across different domains of decision making. One Challenge in verifying this hypothesis is that different paradigms are used for different domains of decision making and therefore cannot be studied in single studies. We use Activation likelihood estimation (ALE) meta-analysis of published fMRI studies to identify brain activations corresponding to perceptual, value-based, and social decision making. We used the database from http://Neurosynth.org to identify a subset of 508 studies from a total of that contained at least one of the six keywords – reward, decision, choice, value, social, and percept in their title or abstract that was extracted from PubMed. Of these studies, we used a minimum of one occurrence of the first three keywords in title or abstract as further inclusion criteria. Finally, we identified 36, 84, and 61 studies for perceptual, valued based and social decision making, respectively. Peak activations for these studies were subjected to three separate ALE meta analyses using GingerALE software and thresholded at p < 0.001 with an extent of 200 mm^3. Automated anatomical labelling available from WFUpickatlas was used for estimating all combinations of the overlap of the three ALE activation maps. We found that the common neural activation across all three domains of decision making was primarily in basal ganglia (caudate, putamen, pallidum) and insula. The common activations in these four regions of the brain were observed bilaterally (Left – 26%, 39%, 62%, 21%, Right – 24%, 30%, 37%, 11%, respectively, of the region activated). These four regions also had a high overlap of activation for value-based and social decision making (i.e. excluding perceptual decision making) observed bilaterally (Left – 40%, 30%, 23%, 16%, Right – 57%, 30%, 36%, 13%, respectively). Other regions that were commonly activated by only value and social decision making were Amygdala (L - 26%, R – 5%; R - 21% was active for social decision making alone), Anterior Cingulate (L – 79%, R – 57%), Thalamus (L – 23%, R - 12%), Angular gyrus (L – 11%), olfactory area (L - 19%, R - 35%), medial orbitofrontal cortex (L - 13%, R - 10%), and superior medial frontal gyrus (12%). Certain proportions of several of these regions were activated by value-based decision making alone. Of further interest was the exclusive activations to value-based decision making in mid and posterior cingulate (19%, 57%), frontal inferior triangulated area (L - 17%), and gyrus rectus (L – 13%, R – 10%). Exclusive activations to perceptual decision making were found in frontal inferior opericulum (L – 20%), Inferior parietal area (L – 20%, R – 11%), precentral gyrus (L – 13%), and supplementary motor area (14%), possibly reflecting task-related activity. In sum, our findings support a common neural circuit across different domains of decision making, and also point to brain areas that could be operating differently depending on the type of decision making task.
Keywords:
Reward,
Decision Making,
Meta-analysis,
value-cased decision making,
Social Decision Making,
perceptual decision making
Conference:
Neuroinformatics 2016, Reading, United Kingdom, 3 Sep - 4 Sep, 2016.
Presentation Type:
Investigator presentations
Topic:
Computational neuroscience
Citation:
Chawla
M and
Miyapuram
KP
(2016). Common neural coding across domains of decision making identified by meta-analysis.
Front. Neuroinform.
Conference Abstract:
Neuroinformatics 2016.
doi: 10.3389/conf.fninf.2016.20.00011
Copyright:
The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers.
They are made available through the Frontiers publishing platform as a service to conference organizers and presenters.
The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated.
Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed.
For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions.
Received:
31 May 2016;
Published Online:
18 Jul 2016.
*
Correspondence:
Dr. Manisha Chawla, Indian Institute of Technology, Gandhinagar, Center for Cognitive Science, Ahmedabad, India, manishachawla.sh@gmail.com