Evidence map›Paper›PMID 35688901›Full record

ArticleCommunications biology2022

Amygdala-pons connectivity is hyperactive and associated with symptom severity in depression.

Jing Jun Wong, Nichol M L Wong, Dorita H F Chang, Di Qi, Lin Chen, Tatia M C Lee

Abstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Article
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  4. Article
  5. Leveraging ultra-high field (7T) MRI in psychiatric research.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  6. Article
  7. Article
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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

6 authors.

Jing Jun Wong *State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China.ORCID 0000-0001-5241-6997
Nichol M L Wong *State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China.
Dorita H F Chang *State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China.ORCID 0000-0002-0604-2477
Di QiState Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China.
Lin ChenState Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China. lchen@ibp.ac.cn.ORCID 0000-0001-7247-6030
Tatia M C Lee *State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China. tmclee@hku.hk.ORCID 0000-0002-9992-6609

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge of the neural underpinnings of processing sad information and how it differs in people with depression could elucidate the neural mechanisms perpetuating sad mood in depression. Here, we conduct a 7 T fMRI study to delineate the neural correlates involved only in processing sad information, including pons, amygdala, and corticolimbic regions. We then conduct a 3 T fMRI study to examine the resting-state connectivity in another sample of people with and without depression. Only clinically depressed people demonstrate hyperactive amygdala-pons connectivity. Furthermore, this connectivity is related to depression symptom severity and is a significant indicator of depression. We speculate that visual sad information reinforces depressed mood and stimulates the pons, strengthening the amygdala-pons connectivity. The relationship between this connectivity and depressive symptom severity suggests that guiding one's visual attention and processing of sad information may benefit mood regulation.

Indexed as

DepressionEmotionsAmygdalaHumansMagnetic Resonance ImagingPons

Identifiers

PMID35688901
PMCPMC9187701

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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.