Evidence map›Paper›PMID 30931142›Full record

ArticleBJR case reports2018

Technical note: can resting state functional MRI assist in routine clinical diagnosis?

Paula Harman, Christine Law, Shahina Pardhan, ZhiHao Henry Lin, Mark Johnson, Silke Walter, Klaus Fassbender, Richard Aspinall, Iris Q Grunwald

Open access · diamondAbstract read
In one paragraph

Article in BJR case reports, 2018. 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
0.3field-weighted citation impact, top 46% of its field
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, 2 citations in OpenAlex.

  1. Review
  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 at 4 institutions in 3 countries.

Paula Harman
Christine Law
Shahina PardhanVision and Eye Research Unit (VERU), Faculty of Medicine, Anglia Ruskin University, Cambridge, , UK.
ZhiHao Henry LinSymbolic Systems Program Department, Stanford University, Stanford, CA, USA.
Mark JohnsonRadiology Department, Southend University Hospital NHS Foundation Trust, Essex, UK.
Silke Walter
Klaus FassbenderDepartment of Neurology, Saarland University Medical Center, Homburg, Germany.
Richard AspinallDepartment of Neuroscience, Faculty of Medicine, Anglia Ruskin University, Chelmsford, Essex, , UK.
Iris Q Grunwald
Anglia Ruskin University · GBSaarland University · DESouthend University Hospital NHS Foundation Trust · GBStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite some differences in clinical presentation, it is often difficult to differentiate between dementia with Lewy bodies (DLB), clinical Alzheimer's dementia (AD) and Parkinson's disease dementia. However, differentiation can be crucial, especially as patients with DLB characteristically have a hypersensitivity to most antiemetic and neuroleptic drugs as they affect the cholinergic and dopaminergic system, potentially leading to life-threatening catatonia, loss of cognitive function and muscle rigidity. The aim of this study is to evaluate if resting state (RS) functional MRI (fMRI) can be used in routine practice on a 1.5 T scanner to differentiate between AD and DLB on an individual basis. We age- and gender-matched a known DLB patient with an AD patient and a human control (HC). Individual independent component analysis was carried out. Region of interest seeds were chosen from the midcingulate and insula regions. Functional connectivity from insula to midcingulate and within the midcingulate network (part of the Salience network) was lower in DLB than AD or HC. RS-fMRI on a 1.5 T scanner, in a routine clinical setting, detected abnormal functional connectivity patterns and allowed differentiation of DLB and AD in a routine clinical setting. This is the first evaluation of RS-fMRI in a routine clinical setting. It shows that incorporating RS-fMRI into the clinical scanning protocol can assist in early diagnosis and likely assist in monitoring the natural history of the disease or disease modifying treatments.

Identifiers

PMID30931142
PMCPMC6438408
OpenAlexW2803920370

What OpenQuestion holds

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LicenceCC BY
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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.