Evidence map›Paper›PMID 40227683›Full record

ArticleJAMA network open2025

Uncinate Fasciculus Lesion Burden and Anxiety in Multiple Sclerosis.

Erica B Baller, Audrey C Luo, Matthew K Schindler, Elena C Cooper, Margaret K Pecsok, Matthew C Cieslak, Melissa Lynne Martin, Amit Bar-Or, Ameena Elahi, Christopher M Perrone and 3 more

Abstract read
In one paragraph

Article in JAMA network open, 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. Review
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Erica B BallerDepartment of Psychiatry, University of Pennsylvania, Philadelphia.
Audrey C LuoDepartment of Psychiatry, University of Pennsylvania, Philadelphia.
Matthew K SchindlerDepartment of Neurology, University of Pennsylvania, Philadelphia.
Elena C CooperDepartment of Psychiatry, University of Pennsylvania, Philadelphia.
Margaret K PecsokDepartment of Psychiatry, University of Pennsylvania, Philadelphia.
Matthew C CieslakDepartment of Psychiatry, University of Pennsylvania, Philadelphia.
Melissa Lynne MartinPenn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia.
Amit Bar-OrDepartment of Neurology, University of Pennsylvania, Philadelphia.
Ameena ElahiDepartment of Information Services, University of Pennsylvania, Philadelphia.
Christopher M PerroneDepartment of Neurology, University of Pennsylvania, Philadelphia.
Bailey C SpanglerPenn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia.
Theodore D SatterthwaiteDepartment of Psychiatry, University of Pennsylvania, Philadelphia.
Russell T ShinoharaPenn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia.

Funding

Longitudinal Mapping of Network Development Underlying Executive Dysfunction in AdolescenceR01MH113550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Danielle Smith Bassett, Theodore Satterthwaite · 2018 to 2026
$6.9M
Inter-modal Coupling Image AnalyticsR01MH112847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Theodore Satterthwaite, Russell Takeshi Shinohara · 2017 to 2026
$5.9M
Harmonization of Multi-Site Neuroimaging Data from Complex Study DesignsR01MH123550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2020 to 2025
$4.0M
Reproducible imaging-based brain growth charts for psychiatryR01MH120482 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI MILHAM, MICHAEL PETER, SATTERTHWAITE, THEODORE · 2019 to 2023
$3.5M
Advanced Statistical Analytics of MRI in MSR01NS112274 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2020 to 2024
$2.8M
Statistical methods for large and complex databases of ultra-high-dimensionalR01NS085211 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2013 to 2017
$1.8M
Depression as a disease of network disruption: learning from multiple sclerosisK23MH133118 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Erica Berlin Baller · 2023 to 2026
$780k
Leveraging Ultra-High Field MRI to Elucidate Glutamatergic Mechanisms of rTMS in DepressionF30MH136690 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Margaret Kasey Pecsok · 2024 to 2026
$129k
NIMH NIH HHS F30 MH136690NIMH NIH HHS K23 MH133118NIMH NIH HHS R01 MH112847NIMH NIH HHS R01 MH113550NIMH NIH HHS R01 MH120482NIMH NIH HHS R01 MH123550NINDS NIH HHS R01 NS085211NINDS NIH HHS R01 NS112274
6 · The paper itself

Abstract

Importance: Multiple sclerosis (MS) is an immune-mediated neurological disorder that affects 2.4 million people worldwide, and up to 60% experience anxiety. Objective: To investigate whether anxiety in MS is associated with white matter lesion burden in the uncinate fasciculus (UF). Design, Setting, and Participants: This was a retrospective case-control study of participants aged 18 years or older diagnosed with MS by an MS specialist and identified from the electronic medical record at a single-center academic medical specialty MS clinic in Pennsylvania. Participants received research-quality 3-Tesla magnetic resonance neuroimaging as part of MS clinical care from January 6, 2010, to February 14, 2018. After excluding participants with poor image quality, participants were stratified into 3 groups naturally balanced in age and sex: (1) MS without anxiety, (2) MS with mild anxiety, and (3) MS with severe anxiety. Analyses were performed from June 1 to September 30, 2024. Exposure: Anxiety diagnosis and anxiolytic medication. Main Outcomes and Measures: Main outcomes were whether patients with severe anxiety had greater lesion burden in the UF than those without anxiety and whether higher anxiety severity was associated with greater UF lesion burden. Generalized additive models were used, with the burden of lesions (eg, proportion of fascicle impacted) within the UF as the outcome measure and sex, spline of age, and total brain volume as covariates. Results: Among 372 patients with MS (mean [SD] age, 47.7 [11.4] years; 296 [80%] female), after anxiety phenotype stratification, 99 (27%) had no anxiety (mean [SD] age, 49.4 [11.7] years; 74 [75%] female), 249 (67%) had mild anxiety (mean [SD] age, 47.1 [11.1] years; 203 [82%] female), and 24 (6%) had severe anxiety (mean [SD] age, 47.0 [12.2] years; 19 [79%] female). UF burden was higher in patients with severe anxiety compared with no anxiety (T = 2.01 [P = .047]; Cohen f2, 0.19 [95% CI, 0.08-0.52]). Additionally, higher mean UF burden was associated with higher severity of anxiety (T = 2.09 [P = .04]; Cohen f2, 0.10 [95% CI, 0.05-0.21]). Conclusions and Relevance: In this case-control study of UF lesion burden and anxiety in MS, overall lesion burden in the UF was associated with the presence and severity of anxiety. Future studies linking white matter lesion burden in the UF with treatment prognosis are warranted.

Indexed as

AnxietyMultiple SclerosisWhite MatterAdultCase-Control StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedRetrospective Studies

Identifiers

PMID40227683
PMCPMC11997724

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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.