Evidence map›Paper›PMID 32917408›Full record

ReviewTrends in neurosciences2020

Circuit-Based Biomarkers for Mood and Anxiety Disorders.

Frances Xia, Mazen A Kheirbek

Abstract readReview
In one paragraph

Review in Trends in neurosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. The Organization of Anxiety Symptoms Along the Threat Imminence Continuum.Current topics in behavioral neurosciences · 2025
    Review
  13. Article
  14. Identifying dysfunctional cell types and circuits in animal models for psychiatric disorders with calcium imaging.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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.

Frances XiaDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA; Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA. Electronic address: frances.xia@ucsf.edu.
Mazen A KheirbekDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA; Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA; Neuroscience Graduate Program, University of California, San Francisco, San Francisco, CA, USA.; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA, USA; Center for Integrative Neuroscience, University of California, San Francisco, San Francisco, CA, USA. Electronic address: mazen.kheirbek@ucsf.edu.

Funding

Hippocampal modulation of subcortical circuits in the control of emotional behaviorR01MH108623 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Mazen A Kheirbek · 2016 to 2026
$6.0M
How is anxiety-related information relayed across hippocampal-prefrontal circuitsR01MH117961 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KHEIRBEK, MAZEN A, SOHAL, VIKAAS SINGH · 2019 to 2022
$2.3M
Circuit and cellular mechanisms of adult neurogenesis in context encoding and discriminationR01MH111754 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KHEIRBEK, MAZEN A · 2017 to 2021
$2.0M
NIMH NIH HHS R01 MH108623NIMH NIH HHS R01 MH111754NIMH NIH HHS R01 MH117961
6 · The paper itself

Abstract

Mood and anxiety disorders are complex heterogeneous syndromes that manifest in dysfunctions across multiple brain regions, cell types, and circuits. Biomarkers using brain-wide activity patterns in humans have proven useful in distinguishing between disorder subtypes and identifying effective treatments. In order to improve biomarker identification, it is crucial to understand the basic circuitry underpinning brain-wide activity patterns. Leveraging a large repertoire of techniques, animal studies have examined roles of specific cell types and circuits in driving maladaptive behavior. Recent advances in multiregion recording techniques, data-driven analysis approaches, and machine-learning-based behavioral analysis tools can further push the boundary of animal studies and bridge the gap with human studies, to assess how brain-wide activity patterns encode and drive emotional behavior. Together, these efforts will allow identifying more precise biomarkers to enhance diagnosis and treatment.

Indexed as

AffectAnxiety DisordersAnimalsAnxietyBiomarkersBrainHumansMood DisordersBiomarkersbiomarkercircuit manipulationdata-driven analysismultiregion recordingreverse translation

Identifiers

PMID32917408
PMCPMC7606349

What OpenQuestion holds

Textmetadata
LicenceTDM
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.