Evidence map›Paper›PMID 38715892›Full record

ArticleMultiple sclerosis journal - experimental, translational and clinical

High-resolution diffusion tensor imaging of the fornix predicts memory function in multiple sclerosis.

Katherine A Koenig, Ken E Sakaie, Daniel Ontaneda, Kedar R Mahajan, Se-Hong Oh, Kunio Nakamura, Stephen E Jones, Stephen M Rao, Mark J Lowe

Abstract read
In one paragraph

Article in Multiple sclerosis journal - experimental, translational and clinical. 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. 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

9 authors.

Ken E SakaieImaging Sciences, Imaging Institute, Cleveland Clinic, Cleveland, USA.ORCID https://orcid.org/0000-0002-5633-4494
Kedar R MahajanMellen Center, Neurological Institute, Cleveland Clinic, Cleveland, USA.ORCID https://orcid.org/0000-0002-0339-9876
Se-Hong OhImaging Sciences, Imaging Institute, Cleveland Clinic, Cleveland, USA.
Kunio NakamuraDepartment of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, USA.ORCID https://orcid.org/0000-0002-7833-8138
Stephen E JonesImaging Sciences, Imaging Institute, Cleveland Clinic, Cleveland, USA.
Stephen M RaoSchey Center for Cognitive Neuroimaging, Neurological Institute, Cleveland Clinic, Cleveland, USA.ORCID https://orcid.org/0000-0002-6463-7460
Mark J LoweImaging Sciences, Imaging Institute, Cleveland Clinic, Cleveland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cognitive dysfunction is a known symptom of multiple sclerosis (MS), with memory recognized as a frequently impacted domain. Here, we used high-resolution MRI at 7 tesla to build on cross-sectional work by evaluating the longitudinal relationship of diffusion tensor imaging (DTI) measures of the fornix to episodic memory performance. Methods: A sample of 80 people with multiple sclerosis (mean age 51.9 ± 8.1 years; 24% male) underwent baseline clinical evaluation, neuropsychological assessment, and MRI. Sixty-four participants had follow-up neuropsychological testing after 1-2 years. Linear regression was used to assess the relationship of baseline imaging measures to follow-up episodic memory performance, measured using the Selective Reminding Test and Brief Visuospatial Memory Test. A reduced prediction model included cognitive function at baseline, age, sex, and disease course. Results: Radial (β = -0.222, Conclusion: These results suggest that fornix DTI has predictive value specific to memory function in MS and warrants additional investigation in the drive to develop predictors of disease progression.

Indexed as

biomarkerscognitive dysfunctiondiffusion tensor imagingmagnetic resonance imagingmemoryMultiple sclerosis

Identifiers

PMID38715892
PMCPMC11075608

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.