Evidence map›Paper›PMID 33389525›Full record

ReviewJapanese journal of radiology2021

Reviewing applications of structural and functional MRI for bipolar disorder.

Joseph Waller, Tyler Miao, Ifeoma Ikedionwu, Keldon K Lin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Japanese journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Review
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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

4 authors.

Joseph WallerDrexel University College of Medicine, 2900 W Queen Ln, Philadelphia, PA, 19129, USA. jwaller14va@gmail.com.ORCID http://orcid.org/0000-0001-7515-8214
Tyler MiaoSciences Department, UCLA Life, 612 Charles E Young Dr S, Los Angeles, CA, 90095, USA.
Ifeoma IkedionwuDepartment of Biology, Baylor University, Waco, TX, 76706, USA.
Keldon K LinMayo Clinic Alix School of Medicine, 13400 E. Shea Blvd., Scottsdale, AZ, 85259, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bipolar disorders (BDs) represent one of the leading causes of disability and morbidity globally. The use of functional magnetic resonance imaging (fMRI) is being increasingly studied as a tool to improve the diagnosis and treatment of BDs. While morphological biomarkers can be identified through the use of structural magnetic resonance imaging (sMRI), recent studies have demonstrated that varying degrees of both structural and functional impairments indicate differing bipolar subtypes. Within fMRI, resting-state fMRI has specifically drawn increased interest for its capability to detect different neuronal activation patterns compared to task-based fMRI. This study aims to review recently published literature regarding the use of fMRI to investigate structural-functional relationships in BD diagnosis and specifically resting-state fMRI to provide an opinion on fMRI's modern clinical application. All sources in this literature review were collected through searches on both PubMed and Google Scholar databases for terms such as 'resting-state fMRI' and 'functional neuroimaging biomarkers of bipolar disorder'. While there are promising results supporting the use of fMRI for improving differential accuracy and establishing clinically relevant biomarkers, additional evidence will be required before fMRI is considered a dependable component of the overall BD diagnostic process.

Indexed as

AdultBipolar DisorderBrainHumansMagnetic Resonance ImagingBiomarkersBipolar depression disorderfMRIGrey matterMood disorderNeuroimagingPsychiatric disordersResting-state fMRIWhite matter

Identifiers

What OpenQuestion holds

Textmetadata
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.