Evidence map›Paper›PMID 34911203›Full record

ArticleNeuroImage. Clinical2021

Internal reliability of blame-related functional MRI measures in major depressive disorder.

Diede Fennema, Owen O'Daly, Gareth J Barker, Jorge Moll, Roland Zahn

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 56% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 2 countries.

Diede FennemaDepartment of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, Centre for Affective Disorders, King's College London, London SE5 8AZ, UK.
Owen O'DalyDepartment of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Gareth J BarkerDepartment of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Jorge MollCognitive and Behavioural Neuroscience Unit, D'Or Institute for Research and Education (IDOR), 22280-080 Rio de Janeiro, RJ, Brazil.
Roland ZahnDepartment of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, Centre for Affective Disorders, King's College London, London SE5 8AZ, UK; Cognitive and Behavioural Neuroscience Unit, D'Or Institute for Research and Education (IDOR), 22280-080 Rio de Janeiro, RJ, Brazil; National Service for Affective Disorders, South London and Maudsley NHS Foundation Trust, London SE5 8AZ, UK. Electronic address: roland.zahn@kcl.ac.uk.
King's College London · GBD’Or Institute for Research and Education · BR

Funding

Medical Research Council 2064430Medical Research Council G0902304
6 · The paper itself

Abstract

backgroundIn major depressive disorder (MDD), self-blame-related fMRI measures have shown the potential to be used as prognostic markers for recurrence risk. Like most potential fMRI markers, however, their reliability is unclear. Here, we probed the internal reliability of self-blame-related fMRI measures, as well as the impact of different modelling approaches on reliability metrics and validity.

methodsInternal consistency (i.e. split-half reliability) was calculated for blood oxygen level-dependent (BOLD) responses and psychophysiological interactions (PPI) related to self-blame-related biases in medication-free remitted MDD participants (n = 81) and healthy controls (n = 41). Trial-length was modelled using three durations (0, 2 and 5 s), which was convolved with the haemodynamic response function (HRF) with and without time and dispersion derivatives. Intraclass correlation coefficients (ICCs) were calculated for simple contrasts examining activation to self-blaming emotions and other-blaming emotions and the more complex contrast of the subtraction-based difference between self- and other-blaming emotions within the following a priori ROIs: right superior anterior temporal lobe seed region, anterior subgenual cingulate cortex, posterior subgenual cortex and right striatum / pallidum.

resultsAcross ROIs, we obtained fair reliability (ICC ≥ 0.40) for simple, but poor reliability (ICC < 0.40) for more complex fMRI measures related to self-blame. Despite this low internal consistency of complex measures at the individual level, we observed robust activation at the group-level, reproducing previously published results.

conclusionsWhile simple BOLD contrasts had fair reliability, previously employed PPI models had poor reliability and simple connectivity measures lacked predictive validity. This calls for the development of functional connectivity measures that strike a better balance between reliability and validity for future clinical applications, which require robust measures at the individual rather than group-level.

Indexed as

Major Depressive DisorderEmotionsHumansMagnetic Resonance ImagingOxygen SaturationReproducibility of ResultsDepressionfMRIInternal consistencyIntraclass coefficient correlationSelf-blameSplit-half reliability

Identifiers

PMID34911203
PMCPMC8640114
OpenAlexW3214955782

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.