Evidence map›Paper›PMID 38356013›Full record

ReviewCognitive, affective & behavioral neuroscience2024

Understanding the heterogeneity of anxiety using a translational neuroscience approach.

Carly M Drzewiecki, Andrew S Fox

Abstract readReview
In one paragraph

Review in Cognitive, affective & behavioral neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Fear, anxiety, and the extended amygdala-bioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. A Shared Threat-Anticipation Circuit Is Dynamically Engaged at Different Moments by Certain and Uncertain Threat.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  16. Article
  17. Article
  18. Neural circuit basis of pathological anxiety.Nature reviews. Neuroscience · 2025
    Review
  19. Review
  20. An Honest Reckoning With the Amygdala and Mental Illness.The American journal of psychiatry · 2024
    Review
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.

Carly M DrzewieckiCalifornia National Primate Research Center, University of California, Davis, CA, USA. carly.drzewiecki@gmail.com.
Andrew S FoxCalifornia National Primate Research Center, University of California, Davis, CA, USA. dfox@ucdavis.edu.ORCID 0000-0003-0695-3323

Funding

National Institute on Aging (NIA) ColonyP51OD011107 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Simon J. Atkinson · 2012 to 2026
$191.5M
Using Theory- and Data-Driven Neurocomputational Approaches and Digital Phenotyping to Understand RDoC Acute and Potential ThreatR01MH131264 · NIMH · UNIV OF MARYLAND, COLLEGE PARK · PI ALEXANDER JOSEPH SHACKMAN · 2022 to 2026
$3.9M
ORIGINS AND EMERGENCE OF MALADAPTIVE SOCIOEMOTIONAL BEHAVIOR DURING THE TRANSITION TO ADULTHOOD IN PRIMATESR01MH121735 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI FOX, ANDREW S · 2020 to 2025
$3.6M
Using Computational Neuroimaging and Extended Smartphone Assessment to Understand the Pathways Linking Threat-Related Brain Circuits to Alcohol Misuse Across AdulthoodR01AA030042 · NIAAA · UNIV OF MARYLAND, COLLEGE PARK · PI ALEXANDER JOSEPH SHACKMAN · 2023 to 2026
$2.5M
Rethinking the Neural Correlates of Uncertain Threat Anticipation with a Statistical Learning ApproachR21MH129851 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI FOX, ANDREW S · 2022 to 2023
$414k
NIAAA NIH HHS R01 AA030042NIH HHS P51 OD011107NIMH NIH HHS R01 MH121735NIMH NIH HHS R01 MH131264NIMH NIH HHS R21 MH129851
6 · The paper itself

Abstract

Anxiety disorders affect millions of people worldwide and present a challenge in neuroscience research because of their substantial heterogeneity in clinical presentation. While a great deal of progress has been made in understanding the neurobiology of fear and anxiety, these insights have not led to effective treatments. Understanding the relationship between phenotypic heterogeneity and the underlying biology is a critical first step in solving this problem. We show translation, reverse translation, and computational modeling can contribute to a refined, cross-species understanding of fear and anxiety as well as anxiety disorders. More specifically, we outline how animal models can be leveraged to develop testable hypotheses in humans by using targeted, cross-species approaches and ethologically informed behavioral paradigms. We discuss reverse translational approaches that can guide and prioritize animal research in nontraditional research species. Finally, we advocate for the use of computational models to harmonize cross-species and cross-methodology research into anxiety. Together, this translational neuroscience approach will help to bridge the widening gap between how we currently conceptualize and diagnose anxiety disorders, as well as aid in the discovery of better treatments for these conditions.

Indexed as

AnxietyAnxiety DisordersNeurosciencesTranslational Research, BiomedicalAnimalsDisease Models, AnimalFearHumansAmygdalaAnimal modelsAnxiety disordersComputational modelingFear and anxiety

Identifiers

PMID38356013
PMCPMC11039504

What Socratic 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 Socratic graph.