Evidence map›Paper›PMID 40791712›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Global effects in fMRI reveal brain markers of state and trait anxiety.

Kimberly Rogge-Obando, Terra Lee, Caroline G Martin, Kamalpreet Kaur, Yamin Li, Jeffrey M Harding, Shiyu Wang, Richard Song, Ruoqi Yang, Rithwik Guntaka and 6 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Kimberly Rogge-ObandoNeuroscience Graduate Program, Vanderbilt University, Nashville, TN, USA.ORCID 0000-0002-5169-1919
Terra LeeVanderbilt University Medical Center, Nashville, TN, USA.
Caroline G MartinVanderbilt University Medical Center, Nashville, TN, USA.
Kamalpreet KaurDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Yamin LiDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA.
Jeffrey M HardingDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Shiyu WangDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Richard SongProgram in Neuroscience, Vanderbilt University, Nashville, TN, USA.
Ruoqi YangDepartment of Computer Science and Engineering, University of California, San Diego, CA, USA.
Rithwik GuntakaDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Sarah E GoodaleVanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Roza G BayrakDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Lucina Q UddinDepartment of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA.
Martin WalterUniversity Clinic for Psychiatry and Psychotherapy, University Hospital Jena, Jena, Germany.
Jeremy HogeveenDepartment of Psychology, University of New Mexico, NM, USA.
Catie ChangVanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA.

Funding

Training in Fundamental NeuroscienceT32MH064913 · NIMH · VANDERBILT UNIVERSITY · PI IHRIE, REBECCA A, WINDER, DANNY G. · 2001 to 2022
$7.6M
Vanderbilt Interdisciplinary Training Program in Alzheimer's DiseaseT32AG058524 · NIA · VANDERBILT UNIVERSITY · PI ANGELA L. JEFFERSON · 2018 to 2026
$3.5M
Longitudinal effects of aging and neurodegeneration on structure-function and brain-behavior relationshipsK00AG079810 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Sarah E Goodale · 2025 to 2026
$161k
Characterizing vigilance in fMRI data and its relation to age-related cognitive impairment.F99AG079810 · NIA · VANDERBILT UNIVERSITY · PI GOODALE, SARAH E · 2022 to 2024
$65k
NIA NIH HHS F99 AG079810NIA NIH HHS K00 AG079810NIA NIH HHS T32 AG058524NIMH NIH HHS T32 MH064913
6 · The paper itself

Abstract

Background: To personalize the diagnosis and treatment of anxiety, there is a need to identify biological constructs that underlie self-reported symptoms. Notably, physiological responses and altered levels of arousal are constituents of anxiety and have widespread ("global") effects on fMRI signals across the brain. Therefore, fMRI signatures of global cortical arousal and autonomic physiological responses may provide valuable neuroimaging biomarkers of anxiety. Additionally, these effects may also contribute to relationships observed between large scale network dynamics and anxiety level. Methods: Drawing upon data from a large community sample of 543 subjects (F=369, M=174) we examine whether the global mean fMRI signal, and a data-driven estimate of cortical arousal effects in fMRI, relate to state and trait anxiety. Additionally, we investigate if autonomic physiological measures (heart rate) in fMRI patterns relate to state and trait anxiety in a subsample of these subjects (240 subjects; F=154, M=86). Finally, we investigate if these three global fMRI effects influence the relationship between functional brain network connectivity and state and trait anxiety. Results: We observe that the spatial patterns of the global mean fMRI signal and the cortical arousal-related fMRI signal related to both state and trait anxiety. These results support current theories that cortical arousal is closely tied to the anxious experience. Additionally, we observe that global component regression had variable effects on the relationship between anxiety and brain networks. Conclusions: These findings suggest that global effects in fMRI signals hold valuable information about both state and trait anxiety. These observations also underscore the importance of understanding global fMRI effects as a source of information as opposed to a confound.

Indexed as

arousalfMRIglobal signalstate anxietytrait anxiety

Identifiers

PMID40791712
PMCPMC12338923

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.