Evidence map›Paper›PMID 41350565›Full record

ArticleScientific reports2025

A large-scale, multi-site examination of resting state functional connectivity in tinnitus.

Sara A Schmidt, Somayeh Shahsavarani, Rafay A Khan, Yihsin Tai, Elsa C Granato, Caterina M Willson, Pedro Ramos, Paul Sherman, Carlos Esquivel, Fatima T Husain

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Auditory Network Discoherence in Chronic Tinnitus.medRxiv : the preprint server for health sciences · 2026
    Article
  2. 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

10 authors.

Sara A SchmidtThe Neuroscience Program, University of Illinois Urbana-Champaign, Champaign, USA.
Somayeh ShahsavaraniDepartment of Audiology, San José State University, San Jose, USA.
Rafay A KhanThe Neuroscience Program, University of Illinois Urbana-Champaign, Champaign, USA.
Yihsin TaiDepartment of Speech Pathology and Audiology, Ball State University, Muncie, USA.
Elsa C GranatoDepartment of Defense Hearing Center of Excellence, San Antonio, Texas, USA.
Caterina M WillsonDepartment of Defense Hearing Center of Excellence, San Antonio, Texas, USA.
Pedro RamosDecypher Technologies, San Antonio, Texas, USA.
Paul Sherman59 th Medical Wing, Science and Technology, Joint Base San Antonio, San Antonio, Texas, USA.
Carlos EsquivelDepartment of Defense Hearing Center of Excellence, San Antonio, Texas, USA.
Fatima T HusainThe Neuroscience Program, University of Illinois Urbana-Champaign, Champaign, USA. husainf@illinois.edu.

Funding

DoD/CDMRP/PRMRP Award ID: W81XWH-15-2-0032
6 · The paper itself

Abstract

Resting state functional connectivity (RS-FC) studies of tinnitus are useful tools for identifying neural mechanisms and potential treatment options for patients. Building on our previous work demonstrating the replicability of RS-FCin individuals with tinnitus and controls, we attempted to investigate the factors leading to published inconsistent findings by examining resting state networks in participant groups across two different study sites: civilians recruited from the University of Illinois Urbana-Champaign; and military-affiliated participants recruited at the Hearig Center of Excellence at Lackland Airforce Base in San Antonio, Texas. Multiple analyses were performed: an overall analysis comparing tinnitus and control participants combined across the sites, and subgroup analyses based on hearing loss, severity, and site. In general, the tinnitus group at the military site exhibited a more profound effect of severity and less so of hearing, compared to their civilian counterparts. More specifically, while changes to the dorsal attention network were observed in the civilian group, the military tinnitus group exhibited alterations to the default mode, emotion processing, and sensory networks. Our study reiterates the impact of severity and hearing loss on neural networks of tinnitus and further supports the need to account for demographic variables such as age and profession.

Indexed as

BrainNerve NetTinnitusAdultFemaleHearing LossHumansMagnetic Resonance ImagingMaleMiddle AgedMilitary PersonnelRest

Identifiers

PMID41350565
PMCPMC12764972

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.