bjrcr.20180030.pdf (370.59 kB)
Technical note: can resting state functional MRI assist in routine clinical diagnosis?
journal contribution
posted on 2023-07-26, 14:29 authored by Paula Harman, Christine Law, Shahina Pardhan, ZhiHao Henry Lin, Mark Johnson, Silke Walter, Klaus Fassbender, Richard Aspinall, Iris Q. GrunwaldDespite 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.
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Refereed
- Yes
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4Issue number
4Page range
20180030Publication title
BJR Case ReportsISSN
2055-7159External DOI
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British Institute of RadiologyFile version
- Published version
Language
- eng
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Legacy posted date
2018-11-14Legacy creation date
2018-11-14Legacy Faculty/School/Department
ARCHIVED Faculty of Medical Science (until September 2018)Usage metrics
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