Evidence map›Paper›PMID 32547361›Full record

ArticleFrontiers in neuroscience2020

The Role of Emotional vs. Cognitive Intelligence in Economic Decision-Making Amongst Older Adults.

Kanchna Ramchandran, Daniel Tranel, Keagan Duster, Natalie L Denburg

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Kanchna RamchandranDepartment of Internal Medicine, Carver College of Medicine, Iowa City, IA, United States.
Daniel TranelDepartment of Neurology, Carver College of Medicine, Iowa City, IA, United States.
Keagan DusterDepartment of Internal Medicine, Carver College of Medicine, Iowa City, IA, United States.
Natalie L DenburgDepartment of Neurology, Carver College of Medicine, Iowa City, IA, United States.
Carver Bible College · US

Funding

The Neurobiology of Social Decision-Making: Social Inference and ContextP50MH094258 · NIMH · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ADOLPHS, RALPH · 2012 to 2021
$18.6M
Neuroeconomics and decision-makingP50NS019632 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DAMASIO, ANTONIO R · 2008 to 2011
$5.1M
Drug Abuse, Social Decision-Making, and Sex-Related Functional Brain AsymmetryR01DA022549 · NIDA · UNIVERSITY OF IOWA · PI TRANEL, DANIEL T. · 2006 to 2010
$1.7M
Prefrontal Brain Structures, Aging, and Decision-MakingK01AG022033 · NIA · UNIVERSITY OF IOWA · PI DENBURG, NATALIE L · 2004 to 2008
$597k
NIA NIH HHS K01 AG022033NIDA NIH HHS R01 DA022549NIMH NIH HHS P50 MH094258NINDS NIH HHS P50 NS019632
6 · The paper itself

Abstract

The links between emotions, bio-regulatory processes, and economic decision-making are well-established in the context of age-related changes in fluid, real-time, decision competency. The objective of the research reported here is to assess the relative contributions, interactions, and impacts of affective and cognitive intelligence in economic, value-based decision-making amongst older adults. Additionally, we explored this decision-making competency in the context of the neurobiology of aging by examining the neuroanatomical correlates of intelligence and decision-making in an aging cohort. Thirty-nine, healthy, community dwelling older adults were administered the Iowa Gambling Task (IGT), an ecologically valid laboratory measure of complex, economic decision-making; along with standardized, performance-based measures of cognitive and emotional intelligence (EI). A smaller subset of this group underwent structural brain scans from which thicknesses of the frontal, parietal, temporal, occipital, cingulate cortices and their sub-sections, were computed. Fluid (online processing) aspects of Perceptual Reasoning cognitive intelligence predicted superior choices on the IGT. However, older adults with higher overall emotional intelligence (EI) and higher Experiential EI area/sub-scores learned faster to make better choices on the IGT, even after controlling for cognitive intelligence and its area scores. Thickness of the left rostral anterior cingulate (associated with fluid affective, processing) mediated the relationship between age and Experiential EI. Thickness of the right transverse temporal gyrus moderated the rate of learning on the IGT. In conclusion, our data suggest that fluid processing, which involves "online," bottom-up, cognitive processing, predicts value-based decision-making amongst older adults, while crystallized intelligence, which relies on "offline" previously acquired knowledge, does not. However, only emotional intelligence, especially its fluid "online" aspects of affective processing predicts the rate of learning in situations of complex choice, especially when there is a paucity of cues/information available to guide decision-making. Age-related effects on these cognitive, affective and decision mechanisms may have neuroanatomical correlates, especially in regions that form a subset of the human mirror-neuron and mentalizing systems. While superior decision-making may be stereotypically associated with "smarter people" (i.e., higher cognitive intelligence), our data indicate that emotional intelligence has a significant role to play in the economic decisions of older adults.

Indexed as

aging decision competencycognitive reserveemotional intelligencefluid intelligenceneuroeconomic decision-makingstructural imaging biomarkers

Identifiers

PMID32547361
PMCPMC7274021
OpenAlexW3028702128

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.