Evidence map›Paper›PMID 36215497›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Morphological similarity of amygdala-ventral prefrontal pathways represents trait anxiety in younger and older adults.

Wonyoung Kim, M Justin Kim

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Brain microstructure mediates the relationship between Alzheimer's proteinopathies and memory.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
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  5. Article
  6. Morphological similarity of amygdala-ventral prefrontal pathways represents trait anxiety in younger and older adults.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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.

Wonyoung KimDepartment of Psychology, Sungkyunkwan University, Seoul 03063, South Korea.ORCID 0000-0002-2897-9842
M Justin KimDepartment of Psychology, Sungkyunkwan University, Seoul 03063, South Korea.ORCID 0000-0002-5886-8545

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stronger amygdala-ventral prefrontal white matter connectivity has been associated with lower trait anxiety, possibly reflecting an increased capacity for efficient communication between the two regions. However, there are also reports arguing against this brain-anxiety association. To address these inconsistencies in the literature, we tested the possibility that idiosyncratic tract morphology may account for meaningful individual differences in trait anxiety, even among those with comparable microstructural integrity. Here, we adopted intersubject representational similarity analysis, an analytic framework that captures multivariate patterns of similarity, to analyze the morphological similarity of amygdala-ventral prefrontal pathways. Data drawn from the Leipzig Study for Mind-Body-Emotion Interactions dataset showed that younger adults (20 to 35 y of age) with low trait anxiety, in contrast to trait-anxious individuals, had consistently similar morphological configurations in their left amygdala-ventral prefrontal pathways. Additional tests on an independent sample of older adults (60 to 75 y of age) validated this finding. Our study reveals a generalizable pattern of brain-anxiety association that is embedded within the shared geometries between fiber tract morphology and trait anxiety data.

Indexed as

AmygdalaPrefrontal CortexAgedAnxietyAnxiety DisordersBrain MappingEmotionsHumansMagnetic Resonance ImagingNeural Pathwaysamygdaladiffusion-weighted imagingprefrontal cortexrepresentational similaritytrait anxiety

Identifiers

PMID36215497
PMCPMC9586323

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Registered trials

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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.