Evidence map›Paper›PMID 24908493›Full record

ArticleNeuron2014

Brain networks for exploration decisions utilizing distinct modeled information types during contextual learning.

Jane X Wang, Joel L Voss

Abstract read
In one paragraph

Article in Neuron, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Pure correlates of exploration and exploitation in the human brain.Cognitive, affective & behavioral neuroscience · 2018
    Article
  5. Article
  6. A Closer Look at the Hippocampus and Memory.Trends in cognitive sciences · 2017
    Review
  7. Review
  8. Article
  9. Ketamine Treatment and Global Brain Connectivity in Major Depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2017
    Article
  10. Parsing the Role of the Hippocampus in Approach-Avoidance Conflict.Cerebral cortex (New York, N.Y. : 1991) · 2017
    Article
  11. Article
  12. Article
  13. 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

2 authors.

Jane X WangDepartment of Medical Social Sciences, Ken & Ruth Davee Department of Neurology, and Interdepartmental Neuroscience Program, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA. Electronic address: janewang@northwestern.edu.
Joel L VossDepartment of Medical Social Sciences, Ken & Ruth Davee Department of Neurology, and Interdepartmental Neuroscience Program, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.

Funding

Prefrontal and Medial-Temporal Interactions in MemoryP50MH094263 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI EICHENBAUM, HOWARD B. · 2011 to 2015
$8.7M
Neural systems for the dynamic use of memoryR00NS069788 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI VOSS, JOEL L · 2012 to 2014
$736k
Function and dysfunction of brain networks for the flexible expression of memoryF32NS083340 · NINDS · NORTHWESTERN UNIVERSITY · PI WANG, XIAOJING · 2013 to 2015
$136k
NIMH NIH HHS P50 MH094263NIMH NIH HHS P50-MH094263NINDS NIH HHS F32 NS083340NINDS NIH HHS F32-NS083340NINDS NIH HHS R00 NS069788NINDS NIH HHS R00-NS069788
6 · The paper itself

Abstract

Exploration permits acquisition of the most relevant information during learning. However, the specific information needed, the influences of this information on decision making, and the relevant neural mechanisms remain poorly understood. We modeled distinct information types available during contextual association learning and used model-based fMRI in conjunction with manipulation of exploratory decision making to identify neural activity associated with information-based decisions. We identified hippocampal-prefrontal contributions to advantageous decisions based on immediately available novel information, distinct from striatal contributions to advantageous decisions based on the sum total available (accumulated) information. Furthermore, network-level interactions among these regions during exploratory decision making were related to learning success. These findings link strategic exploration decisions during learning to quantifiable information and advance understanding of adaptive behavior by identifying the distinct and interactive nature of brain-network contributions to decisions based on distinct information types.

Indexed as

AdolescentAdultAssociation LearningBrainBrain MappingDecision MakingExploratory BehaviorFemaleHumansMagnetic Resonance ImagingMaleNerve NetYoung Adult

Identifiers

PMID24908493
PMCPMC4081497

What OpenQuestion holds

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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.