Evidence map›Paper›PMID 37129246›Full record

ReviewAnnals of the New York Academy of Sciences2023

Anxiety and depression: A top-down, bottom-up model of circuit function.

Deryn O LeDuke, Matilde Borio, Raymundo Miranda, Kay M Tye

Abstract readReview
In one paragraph

Review in Annals of the New York Academy of Sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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

  1. Psychotherapy and inhibitory control: Insights from fMRI research.Psychiatry and clinical neurosciences · 2026
    Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Difficult-to-Treat Anxiety: A Neurocomputational Framework.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025
    Review
  18. Article
  19. Article
  20. 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.

Deryn O LeDukeSalk Institute for Biological Studies, La Jolla, California, USA.
Matilde BorioSalk Institute for Biological Studies, La Jolla, California, USA.
Raymundo MirandaSalk Institute for Biological Studies, La Jolla, California, USA.
Kay M TyeSalk Institute for Biological Studies, La Jolla, California, USA.

Funding

Neural Circuit Mechanisms of Social Homeostasis in Individuals and Supraorganismal Social GroupsDP1AT009925 · NCCIH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI TYE, KAY MAXINE · 2017 to 2021
$6.4M
Solving the Valence Assignment ProblemR37MH102441 · NIMH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI Kay Maxine Tye · 2021 to 2026
$5.6M
Exploring neural circuit mechanisms of social contact and social isolationR01MH115920 · NIMH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI TYE, KAY MAXINE · 2018 to 2022
$2.4M
NCCIH NIH HHS DP1 AT009925NIMH NIH HHS R01 MH115920NIMH NIH HHS R01-MH115920 (NIMH)NIMH NIH HHS R37 MH102441NIMH NIH HHS R37-MH102441 (NIMH)
6 · The paper itself

Abstract

A functional interplay of bottom-up and top-down processing allows an individual to appropriately respond to the dynamic environment around them. These processing modalities can be represented as attractor states using a dynamical systems model of the brain. The transition probability to move from one attractor state to another is dependent on the stability, depth, neuromodulatory tone, and tonic changes in plasticity. However, how does the relationship between these states change in disease states, such as anxiety or depression? We describe bottom-up and top-down processing from Marr's computational-algorithmic-implementation perspective to understand depressive and anxious disease states. We illustrate examples of bottom-up processing as basolateral amygdala signaling and projections and top-down processing as medial prefrontal cortex internal signaling and projections. Understanding these internal processing dynamics can help us better model the multifaceted elements of anxiety and depression.

Indexed as

Brain MappingDepressionAnxietyAnxiety DisordersBrainHumansPrefrontal Cortexamygdalaanxietyattractor statesbottom-updepressionPFCtop-down

Identifiers

PMID37129246
PMCPMC10695657

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.